diff options
Diffstat (limited to 'site/datasets/unknown')
31 files changed, 31 insertions, 31 deletions
diff --git a/site/datasets/unknown/afw.json b/site/datasets/unknown/afw.json index f0b750f8..41a3b23f 100644 --- a/site/datasets/unknown/afw.json +++ b/site/datasets/unknown/afw.json @@ -1 +1 @@ -{"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "citations": [{"id": "3233e3a6fa5acf7939259b4e881b8e635de5cae7", "title": "Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.09019.pdf"], "doi": []}, {"id": "3fe3d6ff7e5320f4395571131708ecaef6ef4550", "title": "TV News Retrieval Based on Story Segmentation and Concept Association", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7907487", "http://doi.org/10.1109/SITIS.2016.60"]}, {"id": "d8c9ce0bd5e4b6d1465402a760845e23af5ac259", "title": "Robust Face Detection with Eyes Occluded by the Shadow from Dazzling Avoidance System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313472", "http://doi.org/10.1109/ITSC.2015.380"]}, {"id": "285472527c5dc1c620d9644849e7519766c2d655", "title": "Learning Where to Position Parts in 3D", "year": "2015", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts.pdf", "http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410381", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.24", "http://doi.org/10.1109/ICCV.2015.24"]}, {"id": "30f62b05b9a69d671be4112d47eba90028a26c71", "title": "Predicting Students\u2019 GPA and Developing Intervention Strategies Based on Self-Regulatory Learning Behaviors", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016571"]}, {"id": "102e374347698fe5404e1d83f441630b1abf62d9", "title": "Facial Image Analysis for Fully Automatic Prediction of Difficult Endotracheal Intubation", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/209965/files/TBME-preprint-infoscience.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7159059", "http://doi.org/10.1109/TBME.2015.2457032", "https://www.ncbi.nlm.nih.gov/pubmed/26186767", "https://www.wikidata.org/entity/Q40724101"]}, {"id": "df096e221cc92c481d34443f4788c96ee412b189", "title": "Facial Expression Recognition by De-expression Residue Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578329"]}, {"id": "7177649ece5506b315cb73c36098baac1681b8d2", "title": "Lower Resolution Face Recognition in Surveillance Systems Using Discriminant Correlation Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961841", "http://doi.org/10.1109/FG.2017.130", "https://www.wikidata.org/entity/Q56384707"]}, {"id": "cad52d74c1a21043f851ae14c924ac689e197d1f", "title": "From Ego to Nos-Vision: Detecting Social Relationships in First-Person Views", "year": "2014", "pdf": ["http://imagelab.ing.unimore.it/imagelab/pubblicazioni/EGO_CVPRW_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W16/papers/Alletto_From_Ego_to_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910040", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.91", "http://doi.org/10.1109/CVPRW.2014.91"]}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "b599f323ee17f12bf251aba928b19a09bfbb13bb", "title": "Autonomous Quadcopter Videographer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b599/f323ee17f12bf251aba928b19a09bfbb13bb.pdf"], "doi": []}, {"id": "970681bbc2ee19a1e9f6c765ebf86003fbdc3471", "title": "Methods for facial expression recognition with applications in challenging situations", "year": "2014", "pdf": [], "doi": []}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "8d4f0517eae232913bf27f516101a75da3249d15", "title": "Event-based Dynamic Face Detection and Tracking Based on Activity.", "year": "2018", "pdf": [], "doi": []}, {"id": "83fd5c23204147844a0528c21e645b757edd7af9", "title": "USDOT number localization and recognition from vehicle side-view NIR images", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W05/papers/Bulan_USDOT_Number_Localization_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301301", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301301", "http://doi.org/10.1109/CVPRW.2015.7301301"]}, {"id": "1fef53b07c6c625545fc071c7386d41f87925675", "title": "A rule-based methodology and assessment for context-aware privacy", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981839"]}, {"id": "b51e3d59d1bcbc023f39cec233f38510819a2cf9", "title": "Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?", "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.4082.pdf"], "doi": []}, {"id": "be6bd94322dd0ecfc8ea99eb7f40a9a14dd3471f", "title": "Automatic Face Annotation System Used Pyramid Database Architecture for Online Social Networks", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6726280", "http://doi.org/10.1109/UIC-ATC.2013.32"]}, {"id": "699b8250fb93b3fa64b2fc8f59fef036e172564d", "title": "Spontaneous Facial Expression Recognition: A Part Based Approach", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7838251", "http://doi.org/10.1109/ICMLA.2016.0147"]}, {"id": "96a8f115df9e2c938453282feb7d7b9fde6f4f95", "title": "Facial Expression Recognition in Video with Multiple Feature Fusion", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7518582", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2016.2593719", "http://doi.org/10.1109/TAFFC.2016.2593719"]}, {"id": "8a8127a06f432982bfb0150df3212f379b36840b", "title": "Analysis of Yawning Behaviour in Spontaneous Expressions of Drowsy Drivers", "year": "2018", "pdf": ["https://www.cl.cam.ac.uk/~mmam3/pub/FG2018-HBU-yawining.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373884", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00091", "http://doi.org/10.1109/FG.2018.00091"]}, {"id": "44c278cbecd6c1123bfa5df92e0bda156895fa48", "title": "Head Pose Estimation by Instance Parameterization", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977027", "http://doi.org/10.1109/ICPR.2014.316"]}, {"id": "9d6e5c1fef16f9a9ace7ce90e6a547905be6b25d", "title": "( Simulated Expressions ) : Terjadi ketika ekspresi mikro tidak disertai ekspresi aslinya . 2 )", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9d6e/5c1fef16f9a9ace7ce90e6a547905be6b25d.pdf"], "doi": []}, {"id": "ed82f10e5bfe1825b9fa5379a1d0017b96fa1ebf", "title": "A Face-Recognition Approach Using Deep Reinforcement Learning Approach for User Authentication", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8119148", "http://doi.ieeecomputersociety.org/10.1109/ICEBE.2017.36", "http://doi.org/10.1109/ICEBE.2017.36"]}, {"id": "a3e66902fd95b757edca4268c8a29258ae9b15cb", "title": "Exploring Locally Rigid Discriminative Patches for Learning Relative Attributes", "year": "2015", "pdf": ["http://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/papers/Yashaswi2015Exploring.pdf", "http://web2py.iiit.ac.in/research_centres/publications/download/inproceedings.pdf.9e10abf4c148e233.5961736861737769323031354578706c6f72696e672e706466.pdf", "http://www.bmva.org/bmvc/2015/papers/paper170/abstract170.pdf", "http://www.bmva.org/bmvc/2015/papers/paper170/paper170.pdf"], "doi": ["https://doi.org/10.5244/C.29.170"]}, {"id": "76b11c281ac47fe6d95e124673a408ee9eb568e3", "title": "Real-time Multi View Face Detection and Pose Estimation Aishwarya", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76b1/1c281ac47fe6d95e124673a408ee9eb568e3.pdf"], "doi": []}, {"id": "465faf9974a60da00950be977f3bc2fc3e56f5d2", "title": "Facial action unit intensity estimation and feature relevance visualization with random regression forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273631", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273631", "http://doi.org/10.1109/ACII.2017.8273631"]}, {"id": "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393", "http://doi.org/10.1109/CVPR.2017.393"]}, {"id": "b8978a5251b6e341a1171e4fd9177aec1432dd3a", "title": "FaceHunter: A multi-task convolutional neural network based face detector", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.04.004"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "39b22bcbd452d5fea02a9ee63a56c16400af2b83", "title": "Multi-task Learning of Facial Landmarks and Expression", "year": "2014", "pdf": ["http://www.uoguelph.ca/~gwtaylor/publications/devries2014multi-task.pdf", "http://www.uoguelph.ca/~gwtaylor/publications/gwtaylor_crv2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6816830", "http://doi.ieeecomputersociety.org/10.1109/CRV.2014.21", "http://doi.org/10.1109/CRV.2014.21"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "57dc55edade7074f0b32db02939c00f4da8fe3a6", "title": "Yaw Estimation Using Cylindrical and Ellipsoidal Face Models", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6807708", "http://doi.org/10.1109/TITS.2014.2313371"]}, {"id": "fd4ac1da699885f71970588f84316589b7d8317b", "title": "Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0601.pdf"], "doi": []}, {"id": "a6e75b4ccc793a58ef0f6dbe990633f7658c7241", "title": "Boosting Hankel matrices for face emotion recognition and pain detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2016.10.007"]}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.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": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without Face Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "55cfc3c08000f9d21879582c6296f2a864b657e8", "title": "Comparisons of local methods for face alignment", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0287", "https://doi.org/10.1049/iet-cvi.2015.0287"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "9282239846d79a29392aa71fc24880651826af72", "title": "Classification of extreme facial events in sign language videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0f3f/d27ba8fd119c51ca14d1e1f154c4bc50a83c.pdf"], "doi": []}, {"id": "2162654cb02bcd10794ae7e7d610c011ce0fb51b", "title": "Joint gaze-correction and beautification of DIBR-synthesized human face via dual sparse coding", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025952"]}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": [], "doi": []}, {"id": "010c6081a66990ce7754f12dd1b37fc677a7751d", "title": "Facial first impressions from another angle: How social judgements are influenced by changeable and invariant facial properties.", "year": "2017", "pdf": ["http://eprints.whiterose.ac.uk/102935/1/Sutherland_et_al_accepted_15_June_2016_BJP.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27443971", "https://doi.org/10.1111/bjop.12206"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "b36a80d15c3e48870ea6118b855055cc34307658", "title": "Facial 3D Shape Estimation from Images for Visual Speech Animation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976728", "http://doi.org/10.1109/ICPR.2014.17"]}, {"id": "05487784c1c94e17c26862e342c1b81acfe11258", "title": "Spontaneous facial expression analysis based on temperature changes and head motions", "year": "2015", "pdf": ["http://videolectures.net/site/normal_dl/tag=977246/fgconference2015_liu_head_motions_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163094", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163094", "http://doi.org/10.1109/FG.2015.7163094"]}, {"id": "02431ed90700d5cfe4e3d3a20f1e97de3e131569", "title": "Finding Actors and Actions in Movies", "year": "2013", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=A668684E950686DFF50E8BA323DC811B?doi=10.1.1.414.5058&rep=rep1&type=pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Bojanowski_Finding_Actors_and_2013_ICCV_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/bojanowski2013finding.pdf", "http://www.di.ens.fr/willow/research/actoraction/bojanowski2013finding_poster.pdf", "http://www.di.ens.fr/~bojanowski/papers/bojanowski13finding.pdf", "http://www.di.ens.fr/~bojanowski/papers/bojanowski13finding_poster.pdf", "http://www.di.ens.fr/~josef/publications/bojanowski13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751394", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.283", "http://doi.org/10.1109/ICCV.2013.283"]}, {"id": "102b27922e9bd56667303f986404f0e1243b68ab", "title": "Multiscale recurrent regression networks for face alignment", "year": "2017", "pdf": ["https://applied-informatics-j.springeropen.com/track/pdf/10.1186/s40535-017-0042-5?site=applied-informatics-j.springeropen.com"], "doi": ["http://doi.org/10.1186/s40535-017-0042-5"]}, {"id": "529baf1a79cca813f8c9966ceaa9b3e42748c058", "title": "Triangle wise Mapping Technique to Transform one Face Image into Another Face Image", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6ae7/47cf58eeda0687a3f779aaecfa12403b9684.pdf"], "doi": []}, {"id": "bcb99d5150d792001a7d33031a3bd1b77bea706b", "title": "Facial Descriptors for Human Interaction Recognition In Still Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05366.pdf"], "doi": []}, {"id": "1ea21515ddad82f1e85b4c5883b93ea3909019b5", "title": "Histograms of Sparse Codes for Object Detection", "year": "2013", "pdf": ["http://homes.cs.washington.edu/~xren/publication/xren_cvpr13_detection.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d246.pdf", "http://www.csc.kth.se/~azizpour/rg/materials/hossein_008_slides.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Histograms_of_Sparse_2013_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/slides/ren__cvpr2013__histograms__azizpour.pdf", "https://www.cs.cmu.edu/~deva/papers/hsc.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619261", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.417", "http://doi.org/10.1109/CVPR.2013.417"]}, {"id": "11be33019f591214c8f79dbcb24a50d8f7fa5c95", "title": "Salgan 360 : Visual Saliency Prediction on 360 Degree Images with Generative Adversarial Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/11be/33019f591214c8f79dbcb24a50d8f7fa5c95.pdf"], "doi": []}, {"id": "392425be1c9d9c2ee6da45de9df7bef0d278e85f", "title": "Vision for Intelligent Vehicles & Applications (VIVA): Face detection and head pose challenge", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0411.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535512", "http://doi.org/10.1109/IVS.2016.7535512"]}, {"id": "038ce930a02d38fb30d15aac654ec95640fe5cb0", "title": "Approximate structured output learning for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices", "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/BVGFacialFeatureTrackerMobile.pdf", "http://kylezheng.org/papers/SO_CLMslideatFG.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/BVGFacialFeatureTrackerMobile.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553701.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553701", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553701", "http://doi.org/10.1109/FG.2013.6553701"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"id": "3d62b2f9cef997fc37099305dabff356d39ed477", "title": "Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02734.pdf"], "doi": []}, {"id": "1cb0c11620bde2734c1a428c789158ffff0d6c7b", "title": "A Framework of Enlarging Face Datasets Used for Makeup Face Analysis", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7545025", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2016.62", "http://doi.org/10.1109/BigMM.2016.62"]}, {"id": "96faccdddef887673d6007fed8ff2574580cae1f", "title": "Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained \"Hard Faces\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09145.pdf"], "doi": []}, {"id": "93dea8bca77df9841bab6b0bcef6d56cb51e761d", "title": "Improving retail efficiency through sensing technologies: A survey", "year": "2016", "pdf": ["http://oa.upm.es/46144/1/INVE_MEM_2016_249461.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2016.05.027"]}, {"id": "ab00ea1aa2f81fbe139b4632ec3682dfb7312ef0", "title": "Comparison of face detection and image classification for detecting front seat passengers in vehicles", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835994", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835994", "http://doi.org/10.1109/WACV.2014.6835994"]}, {"id": "826015d9ade1637b3fcbeca071e3137d3ac1ef56", "title": "A Deep Learning Frame-Work for Recognizing Developmental Disorders", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926667", "http://doi.org/10.1109/WACV.2017.84"]}, {"id": "10d334a98c1e2a9e96c6c3713aadd42a557abb8b", "title": "Scene Text Recognition Using Part-Based Tree-Structured Character Detection", "year": "2013", "pdf": ["http://sunw.csail.mit.edu/2013/papers/Shi_19_SUNw.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c961.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shi_Scene_Text_Recognition_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619225", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.381", "http://doi.org/10.1109/CVPR.2013.381"]}, {"id": "46a4551a6d53a3cd10474ef3945f546f45ef76ee", "title": "Robust and continuous estimation of driver gaze zone by dynamic analysis of multiple face videos", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/TawariTrivedi_IV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6856607", "http://doi.org/10.1109/IVS.2014.6856607"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "1dd56ce2f980283a9f167b9a84c3d42a47481524", "title": "FaceCept3D: Real Time 3D Face Tracking and Analysis", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w2/papers/Tulyakov_FaceCept3D_Real_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406362", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.13", "http://doi.org/10.1109/ICCVW.2015.13"]}, {"id": "228558a2a38a6937e3c7b1775144fea290d65d6c", "title": "Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization", "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/face-landmark-localization/SmithCVPR2014.pdf", "http://pages.cs.wisc.edu/~lizhang/projects/face-landmark-localization/SmithCVPR2014_supplementary.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Smith_Nonparametric_Context_Modeling_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909621", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.225", "http://doi.org/10.1109/CVPR.2014.225"]}, {"id": "f33bd953d2df0a5305fc8a93a37ff754459a906c", "title": "Deformable Models of Ears in-the-Wild for Alignment and Recognition", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2017earrecognitioninthewild.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961800", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.79", "http://doi.org/10.1109/FG.2017.79"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "60777fbca8bff210398ec8b1179bc4ecb72dfec0", "title": "A Deformable Mixture Parsing Model with Parselets", "year": "2013", "pdf": ["http://next.comp.nus.edu.sg/sites/default/files/publication-attachments/A%20Deformable%20Mixture%20Part%20Model%20with%20Parselets.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Dong_A_Deformable_Mixture_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751535", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.423", "http://doi.org/10.1109/ICCV.2013.423"]}, {"id": "da386f486dd2f12281aabb368543e62459f1e79a", "title": "Cascade of Boolean detector combinations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef4/c6bb430c4792522866fdad40a0ed8e76809f.pdf"], "doi": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "2fe86e9c115562df2114eeedc7db1aece07a3638", "title": "Effects of surface materials on polarimetric-thermal measurements: applications to face recognition.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27409214", "http://doi.org/10.1364/AO.55.005226"]}, {"id": "ef26b36eb5966364c71d4fed135fe68f891127e5", "title": "Joint Face Detection and Facial Expression Recognition with MTCNN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8110322"]}, {"id": "b9a8263017cadadbe72e3d5da035d0463c8f3df4", "title": "Engineered and learned features for face and facial expression recognition", "year": "2015", "pdf": [], "doi": []}, {"id": "25695abfe51209798f3b68fb42cfad7a96356f1f", "title": "AN INVESTIGATION INTO COMBINING BOTH FACIAL DETECTION AND LANDMARK LOCALISATION INTO A UNIFIED PROCEDURE USING GPU COMPUTING", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2569/5abfe51209798f3b68fb42cfad7a96356f1f.pdf"], "doi": []}, {"id": "a55efc4a6f273c5895b5e4c5009eabf8e5ed0d6a", "title": "Continuous Head Movement Estimator for Driver Assistance: Issues, Algorithms, and On-Road Evaluations", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/TawariMartinTrivedi_IEEETITS2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6746153", "http://doi.org/10.1109/TITS.2014.2300870"]}, {"id": "7384c39a2d084c93566b98bc4d81532b5ad55892", "title": "A Comparative Study of Face Landmarking Techniques", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0e5d/a8dbe9255b72ddbd6465acbe0d04325f9c50.pdf"], "doi": []}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face Alignment", "year": "2018", "pdf": [], "doi": []}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "cbc2de9b919bc63590b6ee2dfd9dda134af45286", "title": "Direct face detection and video reconstruction from event cameras", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477561", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477561", "http://doi.org/10.1109/WACV.2016.7477561"]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "d69df51cff3d6b9b0625acdcbea27cd2bbf4b9c0", "title": "Robust Remote Heart Rate Determination for E-Rehabilitation - A Method that Overcomes Motion and Intensity Artefacts", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d69d/f51cff3d6b9b0625acdcbea27cd2bbf4b9c0.pdf"], "doi": []}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"], "doi": []}, {"id": "2d072cd43de8d17ce3198fae4469c498f97c6277", "title": "Random Cascaded-Regression Copse for Robust Facial Landmark Detection", "year": "2015", "pdf": ["http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-IEEE-SPL-2015.pdf", "http://www.patrikhuber.ch/files/RCRC_SPL_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877655", "http://doi.org/10.1109/LSP.2014.2347011"]}, {"id": "58bb77dff5f6ee0fb5ab7f5079a5e788276184cc", "title": "Facial expression recognition with PCA and LBP features extracting from active facial patches", "year": "2016", "pdf": ["https://ram-lab.com/papers/2016/rcar_lyp_192.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7784056", "http://doi.org/10.1109/RCAR.2016.7784056"]}, {"id": "cc9a61a30afdb8a5bc7088e1cef814b53dc4fc66", "title": "Multi-Pose and Occluded Facial Landmark Localization Via Sparse Shape Representation", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1142/s0218213015400199"]}, {"id": "2b6683dc7e94863e2df5d4ff2b5eb44c0b1957c7", "title": "Improving Robustness of Biometric Identity Determination with Digital Watermarking", "year": "2016", "pdf": ["http://downloads.hindawi.com/journals/jece/2016/6390741.pdf"], "doi": ["https://doi.org/10.1155/2016%2F6390741", "https://doi.org/10.1155/2016/6390741"]}, {"id": "3998c5aa6be58cce8cb65a64cb168864093a9a3e", "title": "Understanding head and hand activities and coordination in naturalistic driving videos", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/HeadHand.pdf", "http://cvrr.ucsd.edu/publications/2014/MartinOhnbarTawariTrivedi_IV2014.pdf", "http://cvrr.ucsd.edu/scmartin/presentation/IV2014_HeadHand.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6856610", "http://doi.org/10.1109/IVS.2014.6856610"]}, {"id": "a83fc450c124b7e640adc762e95e3bb6b423b310", "title": "Deep Face Feature for Face Alignment and Reconstruction", "year": "2017", "pdf": [], "doi": []}, {"id": "3cb64217ca2127445270000141cfa2959c84d9e7", "title": "Can body expressions contribute to automatic depression analysis?", "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Joshi_Goecke_Parker_Breakspear_FG2013_CanBodyExpressionsContributeToAutomaticDepressionAnalysis.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553796.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553796", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553796", "http://doi.org/10.1109/FG.2013.6553796"]}, {"id": "26e570049aaedcfa420fc8c7b761bc70a195657c", "title": "Hybrid Facial Regions Extraction for Micro-expression Recognition System", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/26e5/70049aaedcfa420fc8c7b761bc70a195657c.pdf"], "doi": []}, {"id": "78a4cabf0afc94da123e299df5b32550cd638939", "title": "Multi-view face recognition from single RGBD models of the faces", "year": "2017", "pdf": ["https://engineering.purdue.edu/kak/FaceRecognitionUnconstrainedPurdueRVL.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.04.008"]}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "106732a010b1baf13c61d0994552aee8336f8c85", "title": "Expanded Parts Model for Semantic Description of Humans in Still Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.04186.pdf"], "doi": []}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"id": "17cf838720f7892dbe567129dcf3f7a982e0b56e", "title": "Global-Local Face Upsampling Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07235.pdf"], "doi": []}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "6eba25166fe461dc388805cc2452d49f5d1cdadd", "title": "ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6eba/25166fe461dc388805cc2452d49f5d1cdadd.pdf"], "doi": []}, {"id": "7ac2fc0fcda50c358cc812007bd99f370b779324", "title": "Automatic temporal segment detection via bilateral long short-term memory recurrent neural networks", "year": "2017", "pdf": ["http://www.bnusei.net/wp-content/uploads/2017/11/JEI_26_2_020501.pdf"], "doi": ["https://doi.org/10.1117/1.JEI.26.2.020501", "https://www.spiedigitallibrary.org/journalArticle/Download?fullDOI=10.1117/1.JEI.26.2.020501"]}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.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": "56dca23481de9119aa21f9044efd7db09f618704", "title": "Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.02772.pdf"], "doi": []}, {"id": "5180c98815d7034e753a14ef6f54583f115da3aa", "title": "Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107971", "http://doi.ieeecomputersociety.org/10.1109/iV.2017.40", "http://doi.org/10.1109/iV.2017.40"]}, {"id": "2c61a9e26557dd0fe824909adeadf22a6a0d86b0", "title": "Convolutional Channel Features", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07339.pdf"], "doi": []}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"], "doi": []}, {"id": "0d33b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a", "title": "Detection and Tracking of Faces in Videos: A Review of Related Work", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0d33/b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a.pdf"], "doi": []}, {"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "120b9c271c3a4ea0ad12bbc71054664d4d460bc3", "title": "Face Recognition against Mouth Shape Variations", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371259", "http://doi.org/10.1109/DICTA.2015.7371259"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "2f0b8579829b3d4efdbc03c96821e33d7cc65e1d", "title": "Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision", "year": "2014", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Pedersoli_Using_a_Deformation_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909867", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.472", "http://doi.org/10.1109/CVPR.2014.472"]}, {"id": "b3c60b642a1c64699ed069e3740a0edeabf1922c", "title": "Max-Margin Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00046.pdf"], "doi": []}, {"id": "e50ec6b6d1c189edc127eb403c41a64f34fc0a6c", "title": "Learning Flexible Block based Local Binary Patterns for unconstrained face detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890187"]}, {"id": "e9ed17fd8bf1f3d343198e206a4a7e0561ad7e66", "title": "Cognitive Learning for Social Robot through Facial Expression from Video Input", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e9ed/17fd8bf1f3d343198e206a4a7e0561ad7e66.pdf"], "doi": []}, {"id": "e8ab6ed88fecfdc936c44bc7a73e00a1eaf17f63", "title": "Attributes in Multiple Facial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373846"]}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "0b174d4a67805b8796bfe86cd69a967d357ba9b6", "title": "A Survey on Face Detection and Recognition Approaches", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0b17/4d4a67805b8796bfe86cd69a967d357ba9b6.pdf"], "doi": []}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373908", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00115", "http://doi.org/10.1109/FG.2018.00115"]}, {"id": "747c25bff37b96def96dc039cc13f8a7f42dbbc7", "title": "EmoNets: Multimodal deep learning approaches for emotion recognition in video", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01800.pdf"], "doi": []}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "e50ee29ca12028cb903cd498bb9cacd41bd5ce3a", "title": "Single-view-based 3D facial reconstruction method robust against pose variations", "year": "2015", "pdf": ["http://cherup.yonsei.ac.kr/files/Paper/2015_PR_Single-view-based%203D%20facial%20reconstruction%20method%20robust%20against%20pose%20variations.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.07.013"]}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "40f127fa4459a69a9a21884ee93d286e99b54c5f", "title": "Optimizing Apparent Display Resolution Enhancement for Arbitrary Videos", "year": "2013", "pdf": ["http://graphics.tu-bs.de/media/publications/stengel2013resolution.pdf", "https://www.graphics.tu-bs.de/upload/publications/stengel2013resolution.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6522878", "http://doi.org/10.1109/TIP.2013.2265885", "https://www.ncbi.nlm.nih.gov/pubmed/23744682", "https://www.wikidata.org/entity/Q51205072"]}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "25885e9292957feb89dcb4a30e77218ffe7b9868", "title": "Analyzing the Affect of a Group of People Using Multi-modal Framework", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.03640.pdf"], "doi": []}, {"id": "49fdafef327069516d887d8e69b5e96c983c3dd0", "title": "Face Retrieval in Video Sequences Using a Single Face Sample", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227433", "http://doi.org/10.1109/DICTA.2017.8227433"]}, {"id": "7234468db46b37e2027ab2978c67b48b8581f796", "title": "Mirrored non-maximum suppression for accurate object part localization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486464", "http://doi.org/10.1109/ACPR.2015.7486464"]}, {"id": "00a3cfe3ce35a7ffb8214f6db15366f4e79761e3", "title": "Using Kinect for real-time emotion recognition via facial expressions", "year": "2015", "pdf": ["http://engineering.cae.cn/fitee/fileup/2095-9184/SUPPL/20150414135701.pdf"], "doi": ["http://doi.org/10.1631/FITEE.1400209"]}, {"id": "7c7b0550ec41e97fcfc635feffe2e53624471c59", "title": "Head, Eye, and Hand Patterns for Driver Activity Recognition", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/headhandeye.pdf", "http://cvrr.ucsd.edu/publications/2014/headhandeye.pdf", "https://eshed1.github.io/papers/headhandeye.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976834", "http://doi.org/10.1109/ICPR.2014.124"]}, {"id": "44a3ec27f92c344a15deb8e5dc3a5b3797505c06", "title": "A Taxonomy of Part and Attribute Discovery Techniques", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/44a3/ec27f92c344a15deb8e5dc3a5b3797505c06.pdf"], "doi": []}, {"id": "4a0f98d7dbc31497106d4f652968c708f7da6692", "title": "Real-time eye gaze direction classification using convolutional neural network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05258.pdf"], "doi": []}, {"id": "30c93fec078b98453a71f9f21fbc9512ab3e916f", "title": "Multimodal Egocentric Analysis of Focused Interactions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395274", "http://doi.org/10.1109/ACCESS.2018.2850284", "https://doi.org/10.1109/ACCESS.2018.2850284"]}, {"id": "3157be811685c93d0cef7fa4c489efea581f9b8e", "title": "Multi-spectral Imaging for Robust Ocular Biometrics", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411222", "http://doi.org/10.1109/ICB2018.2018.00038", "https://doi.org/10.1109/ICB2018.2018.00038"]}, {"id": "a4de780b8b333f073667c1f2dd7b3ae54a97f380", "title": "Research on Abnormal Behavior Detection of Online Examination Based on Image Information", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8530188"]}, {"id": "eaf020bc8a3ed5401fc3852f7037a03b2525586a", "title": "Adversarially Optimizing Intersection over Union for Object Localization Tasks", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1710.07735"]}, {"id": "d861c658db2fd03558f44c265c328b53e492383a", "title": "Automated face extraction and normalization of 3D Mesh Data", "year": "2014", "pdf": ["http://homes.cs.washington.edu/~shapiro/Multimedia/Jia_EMBC2014_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6943699", "http://doi.org/10.1109/EMBC.2014.6943699", "https://www.ncbi.nlm.nih.gov/pubmed/25570067", "https://www.wikidata.org/entity/Q30883352"]}, {"id": "4aa18f3a1c85f7a09d3b0d6b28c0339199892d60", "title": "The Application of Neural Networks for Facial Landmarking on Mobile Devices", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4aa1/8f3a1c85f7a09d3b0d6b28c0339199892d60.pdf"], "doi": []}, {"id": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "123a9768700433c405bd7266f4c57ca8222e7fe1", "title": "Expanded Parts Model for Human Attribute and Action Recognition in Still Images", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/Sharma_Expanded_Parts_Model_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a652.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/sharma__cvpr2013__expanded.pdf", "https://hal.inria.fr/hal-00816144/file/sharma_epm_cvpr2013.pdf", "https://jurie.users.greyc.fr/papers/13_CVPR_EPPM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618934", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.90", "http://doi.org/10.1109/CVPR.2013.90"]}, {"id": "15a3c96a0cf4c0d7f4abd025572255f82e017ff7", "title": "High-quality face capture, animation and editing from monocular video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a3/c96a0cf4c0d7f4abd025572255f82e017ff7.pdf"], "doi": []}, {"id": "2f489bd9bfb61a7d7165a2f05c03377a00072477", "title": "Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2f48/9bd9bfb61a7d7165a2f05c03377a00072477.pdf"], "doi": []}, {"id": "1287bfe73e381cc8042ac0cc27868ae086e1ce3b", "title": "Computational Mid-Level Vision: From Border Ownership to Categorical Object Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1287/bfe73e381cc8042ac0cc27868ae086e1ce3b.pdf"], "doi": []}, {"id": "c71552fb2a18458a5607c609b96433004ada1131", "title": "Review of Selected Techniques and Measures Affecting the Reliability of Face Image Acquisition Systems / Przegl\u0105d Wybranych Technik I \u015arodk\u00f3w Wp\u0142ywaj\u0105cych Na Niezawodno\u015b\u0107 Dzia\u0142ania System\u00f3w Akwizycji Obrazu Twarzy", "year": "2014", "pdf": ["https://content.sciendo.com/downloadpdf/journals/jok/29/1/article-p49.pdf"], "doi": ["https://doi.org/10.2478/jok-2014-0006"]}, {"id": "1f2d12531a1421bafafe71b3ad53cb080917b1a7", "title": "Joint optimization of manifold learning and sparse representations", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Andy/Andy_files/AI_Seminar_March_1_2013_Ptucha.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553786.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553786", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553786", "http://doi.org/10.1109/FG.2013.6553786", "http://scholarworks.rit.edu/cgi/viewcontent.cgi?article=5352&context=theses"]}, {"id": "5334ac0a6438483890d5eef64f6db93f44aacdf4", "title": "MINH HOAI : REGULARIZEDMAX POOLING FOR IMAGE CATEGORIZATION 1 Regularized Max Pooling for Image Categorization", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5334/ac0a6438483890d5eef64f6db93f44aacdf4.pdf"], "doi": []}, {"id": "9888ce5cb5cae8ba4f288806d126b1114e0a7f9b", "title": "Enhanced face recognition using 8-Connectivity-of-Skin-Region and Standard-Deviation-based-Pose-Detection as preprocessing techniques", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006034", "http://doi.org/10.1109/MedCom.2014.7006034"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "1f8e44593eb335c2253d0f22f7f9dc1025af8c0d", "title": "Fine-Tuning Regression Forests Votes for Object Alignment in the Wild", "year": "2015", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22607/Patras%20Fine-tuning%20regression%202014%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6987359", "http://doi.org/10.1109/TIP.2014.2383325", "https://www.ncbi.nlm.nih.gov/pubmed/25532183", "https://www.wikidata.org/entity/Q41658941"]}, {"id": "62f0d8446adee6a5e8102053a63a61af07ac4098", "title": "Facial point detection using convolutional neural network transferred from a heterogeneous task", "year": "2015", "pdf": ["http://www.vision.cs.chubu.ac.jp/MPRG/C_group/C072_yamashita2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351298", "http://doi.org/10.1109/ICIP.2015.7351298"]}, {"id": "cbe1df2213a88eafc5dcaf55264f2523fe3ec981", "title": "Automatic 4D Facial Expression Recognition Using DCT Features", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045888", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.34", "http://doi.org/10.1109/WACV.2015.34"]}, {"id": "0d90c992dd08bfb06df50ab5c5c77ce83061e830", "title": "An Automatic Face Annotation System Featuring High Accuracy for Online Social Networks", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6726205", "http://doi.org/10.1109/UIC-ATC.2013.85"]}, {"id": "10ab1b48b2a55ec9e2920a5397febd84906a7769", "title": "Demo: I-Pic: A Platform for Privacy-Compliant Image Capture", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2938589"]}, {"id": "b908edadad58c604a1e4b431f69ac8ded350589a", "title": "Deep Face Feature for Face Alignment", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02721.pdf"], "doi": []}, {"id": "20a3ce81e7ddc1a121f4b13e439c4cbfb01adfba", "title": "Sparse-MVRVMs Tree for Fast and Accurate Head Pose Estimation in the Wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e805/bc872e18277c7cbfce82206cf1667cce22cc.pdf"], "doi": []}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "title": "Nested Shallow CNN-Cascade for Face Detection in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961737"]}, {"id": "4850af6b54391fc33c8028a0b7fafe05855a96ff", "title": "Discovering useful parts for pose estimation in sparsely annotated datasets", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.00707.pdf"], "doi": []}, {"id": "9ab963e473829739475b9e47514f454ab467a5af", "title": "A Fully End-to-End Cascaded CNN for Facial Landmark Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961742", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.33", "http://doi.org/10.1109/FG.2017.33"]}, {"id": "f345a05353f5784b64eefb7785661cc0be519521", "title": "LBF Based 3D Regression for Facial Animation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7938207"]}, {"id": "2b2924af7ec219bd1fadcbd2c57014ed54efec86", "title": "Channeling Mr. Potato head - Face super-resolution using semantic components", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6806053"]}, {"id": "06da0e4ae21835f0d33cfbf66c8b73b58625c57b", "title": "Facial Keypoints Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.05279.pdf"], "doi": []}, {"id": "f402e088dddfaad7667bd4def26092d05f247206", "title": "Passenger Compartment Violation Detection in HOV/HOT Lanes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7283621", "http://doi.org/10.1109/TITS.2015.2475721"]}, {"id": "142dcfc3c62b1f30a13f1f49c608be3e62033042", "title": "Adaptive region pooling for object detection", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr15_object_detection.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_080.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_080_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_080_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tsai_Adaptive_Region_Pooling_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298673", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298673", "http://doi.org/10.1109/CVPR.2015.7298673"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1111/cgf.12760"]}, {"id": "61971f8e6fff5b35faed610d02ad14ccfc186c70", "title": "Identity-Adaptive Facial Expression Recognition through Expression Regeneration Using Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373843", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00050", "http://doi.org/10.1109/FG.2018.00050"]}, {"id": "9776a9f3c59907f45baaeda4b8907dcdac98aef1", "title": "The video face recognition method and system based on the fusion of multiple features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301924", "http://doi.org/10.1109/CISP-BMEI.2017.8301924"]}, {"id": "3066a4e95985f77cf5cd54d53a7f3526a4ff124c", "title": "A Face-to-Face Neural Conversation Model", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578841"]}, {"id": "b0358af78b7c5ee7adc883ef513bbcc84a18a02b", "title": "Universal Skin Detection Without Color Information", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926593.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926593", "http://doi.org/10.1109/WACV.2017.10"]}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-018-01617-y"]}, {"id": "60c97065418fbd30e55d79b764c7c3961106ac3d", "title": "Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06664.pdf"], "doi": []}, {"id": "edc5a0a8b9fc6ae0e8d8091a2391767f645095d9", "title": "Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera", "year": "2015", "pdf": ["http://www.es.mdh.se/pdf_publications/3948.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313516", "http://doi.org/10.1109/ITSC.2015.424"]}, {"id": "c175f1666f3444e407660c5935a05b2a53f346f0", "title": "Modifying the Memorability of Face", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c175/f1666f3444e407660c5935a05b2a53f346f0.pdf"], "doi": []}, {"id": "3dfbd17bd9caf7bd1d908ff469dec2b61e8a9548", "title": "Usability of Pilot's Gaze in Aeronautic Cockpit for Safer Aircraft", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313344", "http://doi.org/10.1109/ITSC.2015.252"]}, {"id": "58823377757e7dc92f3b70a973be697651089756", "title": "Automatic facial expression analysis", "year": "2014", "pdf": ["http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-861.pdf", "http://www.cl.cam.ac.uk/~tb346/pub/thesis/phd_thesis.pdf"], "doi": ["http://doi.org/10.17863/CAM.16382", "http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600539"]}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "3626401bfe9898de61716651582f208e260b9c38", "title": "Adaptive skin detection using face location and facial structure estimation", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1049/iet-cvi.2016.0295"]}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "74ba4ab407b90592ffdf884a20e10006d2223015", "title": "Partial Face Detection in the Mobile Domain", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02117.pdf"], "doi": []}, {"id": "b3cb117f2424209d5997d5745772dfadd02dc80d", "title": "Semantic Summarization of Egocentric Photo Stream Events", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00438.pdf"], "doi": []}, {"id": "24bf94f8090daf9bda56d54e42009067839b20df", "title": "Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition", "year": "2015", "pdf": ["https://www.computer.org/csdl/trans/tp/2015/06/06940284.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6940284", "http://doi.org/10.1109/TPAMI.2014.2366127", "https://www.ncbi.nlm.nih.gov/pubmed/26357337", "https://www.wikidata.org/entity/Q38584262"]}, {"id": "5e62b2ab6fd3886e673fd5cbee160a5bee414507", "title": "Facial Emotion Recognition Based on Facial Motion Stream Generated by Kinect", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7400554", "http://doi.ieeecomputersociety.org/10.1109/SITIS.2015.31", "http://doi.org/10.1109/SITIS.2015.31"]}, {"id": "68f61154a0080c4aae9322110c8827978f01ac2e", "title": "Recognizing blurred , non-frontal , illumination and expression variant partially occluded faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68f6/1154a0080c4aae9322110c8827978f01ac2e.pdf"], "doi": []}, {"id": "6966d9d30fa9b7c01523425726ab417fd8428790", "title": "Exemplar-Based Face Parsing", "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013.pdf", "http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013_poster.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d484.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Smith_Exemplar-Based_Face_Parsing_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619291", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.447", "http://doi.org/10.1109/CVPR.2013.447"]}, {"id": "cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3", "title": "Facial Landmark Detection via Progressive Initialization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406479", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.130", "http://doi.org/10.1109/ICCVW.2015.130"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "title": "Mixture of parts revisited: Expressive part interactions for Pose Estimation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6791.pdf"], "doi": []}, {"id": "91ead35d1d2ff2ea7cf35d15b14996471404f68d", "title": "Combining and Steganography of 3D Face Textures", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01325.pdf"], "doi": []}, {"id": "fc970d7694b1d2438dd101a146d2e4f29087963e", "title": "Fusing Multilabel Deep Networks for Facial Action Unit Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961807", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.86", "http://doi.org/10.1109/FG.2017.86"]}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"], "doi": []}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "bcc5cbbb540ee66dc8b9a3453b506e895d8395de", "title": "Joint Estimation of Pose and Face Landmark", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8ba/5cddae817c30de79a804eaf16024610c1e4f.pdf"], "doi": []}, {"id": "440b94b1624ca516b07e72ea8b3488072adc5e26", "title": "Comparison of Early and Late Information Fusion for Multi-camera HOV Lane Enforcement", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313245", "http://doi.org/10.1109/ITSC.2015.153"]}, {"id": "13afc4f8d08f766479577db2083f9632544c7ea6", "title": "Multiple kernel learning for emotion recognition in the wild", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531741"]}, {"id": "1be18a701d5af2d8088db3e6aaa5b9b1d54b6fd3", "title": "ENHANCEMENT OF FAST FACE DETECTION ALGORITHM BASED ON A CASCADE OF DECISION TREES", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1be1/8a701d5af2d8088db3e6aaa5b9b1d54b6fd3.pdf"], "doi": []}, {"id": "6bcfcc4a0af2bf2729b5bc38f500cfaab2e653f0", "title": "Facial Expression Recognition in the Wild Using Improved Dense Trajectories and Fisher Vector Encoding", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Afshar_Facial_Expression_Recognition_CVPR_2016_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/afshar06cvprw.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789679", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.189", "http://doi.org/10.1109/CVPRW.2016.189"]}, {"id": "9b1c218a55ead45296bfd7ad315aaeff1ae9983e", "title": "Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274747", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2481396", "http://doi.org/10.1109/TPAMI.2015.2481396", "https://www.ncbi.nlm.nih.gov/pubmed/26415152"]}, {"id": "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "title": "Features and methods for improving large scale face recognition", "year": "2015", "pdf": [], "doi": ["https://ora.ox.ac.uk/objects/uuid:7704244a-b327-4e5c-a58e-7bfe769ed988"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "1a849b694f2d68c3536ed849ed78c82e979d64d5", "title": "This is a repository copy of Symmetric Shape Morphing for 3 D Face and Head Modelling", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/318c/a222a7a4dfc63807c6b6c4285cc63c8610ba.pdf"], "doi": []}, {"id": "a8a30a8c50d9c4bb8e6d2dd84bc5b8b7f2c84dd8", "title": "This is a repository copy of Modelling of Orthogonal Craniofacial Profiles", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3bf2/79c782cee5b43a766d248810d602b24033c9.pdf"], "doi": []}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830587"]}, {"id": "230c4a30f439700355b268e5f57d15851bcbf41f", "title": "EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01509.pdf"], "doi": []}, {"id": "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "title": "Improved Strategies for HPE Employing Learning-by-Synthesis Approaches", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Larumbe_Improved_Strategies_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.182", "http://doi.org/10.1109/ICCVW.2017.182"]}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "6cfc337069868568148f65732c52cbcef963f79d", "title": "Audio-Visual Speaker Localization via Weighted Clustering Israel -", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/80d7/8415aee24e65ea3031c31adc1dabc1956f8a.pdf"], "doi": []}, {"id": "de398bd8b7b57a3362c0c677ba8bf9f1d8ade583", "title": "Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition", "year": "2017", "pdf": ["http://www.cs.wayne.edu/~mdong/TMM16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744538", "http://doi.org/10.1109/TMM.2016.2629282"]}, {"id": "0a6a818b634cca4eb75a37bfd23b5c5c21331b12", "title": "Face Alignment Refinement", "year": "2015", "pdf": ["http://hal.cse.msu.edu/pdfs/papers/wacv-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045883", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.29", "http://doi.org/10.1109/WACV.2015.29"]}, {"id": "4c842fbd4c032dd4d931eb6ff1eaa2a13450b7af", "title": "A review of recent advances in visual speech decoding", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2014.06.004"]}, {"id": "1b0a071450c419138432c033f722027ec88846ea", "title": "Looking at faces in a vehicle: A deep CNN based approach and evaluation", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediITSC2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795622", "http://doi.org/10.1109/ITSC.2016.7795622"]}, {"id": "795ea140df2c3d29753f40ccc4952ef24f46576c", "title": "C V ] 2 8 O ct 2 01 7 MultiTask Learning by Deep Collaboration and Application in Facial Landmark Detection", "year": "2017", "pdf": [], "doi": []}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"], "doi": []}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "year": "2017", "pdf": [], "doi": []}, {"id": "cd2bf0e1d19babe51eaa94cbc24b223e9c048ad6", "title": "\u2018Who Likes What and, Why?\u2019 Insights into Modeling Users\u2019 Personality Based on Image \u2018Likes\u2019", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7491295", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2016.2581168", "http://doi.org/10.1109/TAFFC.2016.2581168"]}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "383e64d9ef1fca9de677ac82486b4df42e96e861", "title": "Social Network Construction of the Role Relation in Unstructured Data Based on Multi-view", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8005505", "http://doi.ieeecomputersociety.org/10.1109/DSC.2017.78", "http://doi.org/10.1109/DSC.2017.78"]}, {"id": "de162d4b8450bf2b80f672478f987f304b7e6ae4", "title": "Weakly Supervised Manifold Learning for Dense Semantic Object Correspondence", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Gaur_Weakly_Supervised_Manifold_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237454", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.192", "http://doi.org/10.1109/ICCV.2017.192"]}, {"id": "d42dbc995318e2936714c65c028700bfd3633049", "title": "Face fiducial detection by consensus of exemplars", "year": "2016", "pdf": ["https://bitbucket.org/mallikarjun26/wacv_2016_face_fiducial/raw/9ed5a356db1fceda6c542bd7d8fd94f0c4f7d120/211.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477592", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477592", "http://doi.org/10.1109/WACV.2016.7477592"]}, {"id": "113b06e70b7eead8ae7450bafe9c91656705024c", "title": "Face Alignment across Large Pose via MT-CNN Based 3D Shape Reconstruction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373832", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00039", "http://doi.org/10.1109/FG.2018.00039"]}, {"id": "40b0fced8bc45f548ca7f79922e62478d2043220", "title": "Do Convnets Learn Correspondence?", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.1091.pdf"], "doi": []}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "7e1d2befac6946112cd80652d0c2b962e3c0d342", "title": "FA-RPN: Floating Region Proposals for Face Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05586.pdf"], "doi": []}, {"id": "239df42479c69cf95e7194cc0ec3d8cf7d4a98e8", "title": "Face Detection and Extraction from Low Resolution Surveillance Video Using Motion Segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/239d/f42479c69cf95e7194cc0ec3d8cf7d4a98e8.pdf"], "doi": []}, {"id": "a5ae44070857aa00e54ea80394a04fda412b335c", "title": "Scene Text Recognition using part-based TSM and Soft Output Viterbi Algorithm", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7193134"]}, {"id": "e585dc6c810264d9f07e38c412379734a920714e", "title": "Facing reality: an industrial view on large scale use of facial expression analysis", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531926"]}, {"id": "350108a9dbb746dc6f127d98342c07d8019e3f46", "title": "Multi-view facial landmark detection by using a 3D shape model", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.003"]}, {"id": "f6511d8156058737ec5354c66ef6fdcf035d714d", "title": "Response Surface Learning for Face Misalignment Correction", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7016133"]}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "22137ce9c01a8fdebf92ef35407a5a5d18730dde", "title": "Recognition of Faces from single and Multi-View Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2213/7ce9c01a8fdebf92ef35407a5a5d18730dde.pdf"], "doi": []}, {"id": "50a0930cb8cc353e15a5cb4d2f41b365675b5ebf", "title": "Robust Facial Landmark Detection and Face Tracking in Thermal Infrared Images using Active Appearance Models", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/50a0/930cb8cc353e15a5cb4d2f41b365675b5ebf.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "104863192ffb35e285f7546d1ac842e001ac9084", "title": "Cloud-based scalable object detection and classification in video streams", "year": "2018", "pdf": ["http://orca-mwe.cf.ac.uk/98251/1/elsarticle-template-harv.pdf"], "doi": ["http://doi.org/10.1016/j.future.2017.02.003"]}, {"id": "4068574b8678a117d9a434360e9c12fe6232dae0", "title": "Automatic Construction of Deformable Models In-the-Wild", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Antonakos_Automatic_Construction_of_2014_CVPR_paper.pdf", "http://www.visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2031.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909630", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.234", "http://doi.org/10.1109/CVPR.2014.234"]}, {"id": "7c1e1c767f7911a390d49bed4f73952df8445936", "title": "Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA)", "year": "2013", "pdf": ["http://cmp.felk.cvut.cz/~hurycd1/data/publications/zimmermann-TPAMI2014.pdf", "http://cmp.felk.cvut.cz/~zimmerk/zimmermann-TPAMI-2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778003", "http://doi.org/10.1109/TPAMI.2013.171", "https://www.ncbi.nlm.nih.gov/pubmed/24018637", "https://www.wikidata.org/entity/Q40558576"]}, {"id": "7f703613149b190ea3bb0e3c803844895419846b", "title": "Locating Facial Landmarks towards Plastic Surgery", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7314567", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2015.40", "http://doi.org/10.1109/SIBGRAPI.2015.40"]}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "d8904955fa93ad434f5156235ac94452eec57f64", "title": "Facial expression recognition in the wild based on multimodal texture features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/48ec/4b2c3b6c6549fa7a988f8db135a41691f605.pdf"], "doi": []}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "c61686b6fead7cd04f71ca29caba25b387498965", "title": "Computer Science and Management Studies Research Article / Paper / Case Study Available online at: www.ijarcsms.com A Survey on Face Recognition Eigen face and PCA method", "year": "2014", "pdf": [], "doi": []}, {"id": "fe48f0e43dbdeeaf4a03b3837e27f6705783e576", "title": "Supervised Transformer Network for Efficient Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05477.pdf"], "doi": []}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "1ddea58d04e29069b583ac95bc0ae9bebb0bed07", "title": "An Efficient Model for Simultaneous Face Detection, Pose Estimation and Landmark Localisation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371751", "http://doi.org/10.1109/KSE.2015.50"]}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "3dd4d719b2185f7c7f92cc97f3b5a65990fcd5dd", "title": "Ensemble of Hankel Matrices for Face Emotion Recognition", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03811.pdf"], "doi": []}, {"id": "b0c512fcfb7bd6c500429cbda963e28850f2e948", "title": "A Fast and Accurate Unconstrained Face Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1408.1656.pdf"], "doi": []}, {"id": "4e7f0dfc390f88623c825fe702da45b994342011", "title": "Photorealistic Face De-Identification by Aggregating Donors' Face Components", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9da1/91858f65fd99c9b204a6f68916711d4bd51b.pdf"], "doi": []}, {"id": "fb0774049f2f34be194592822c74e2f2e603dea8", "title": "Landmark localization approach for facial computing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7920664"]}, {"id": "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "title": "2 New Statement for Structured Output Regression Problems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/891b/10c4b3b92ca30c9b93170ec9abd71f6099c4.pdf"], "doi": []}, {"id": "9285f4a6a06e975bde3ae3267fccd971d4fff98a", "title": "Attentional Push: A Deep Convolutional Network for Augmenting Image Salience with Shared Attention Modeling in Social Scenes", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Gorji_Attentional_Push_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099853", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.370", "http://doi.org/10.1109/CVPR.2017.370"]}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "524c25217a6f1ed17f47871e947a5581d775fa56", "title": "Fusing global and local features for face verification", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2030875"]}, {"id": "744c22e95eaceabb031589ba808bf2e9f24b04c7", "title": "From Sequence to Attention ; Search for a Compositional Bias in Sequence-to-Sequence Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f4cf/ad394b9d9441ed6f93be30e14f197df0e198.pdf"], "doi": []}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "8d712cef3a5a8a7b1619fb841a191bebc2a17f15", "title": "Non-Verbal Communication Analysis in Victim-Offender Mediations", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.2122.pdf"], "doi": []}, {"id": "dfb8a04a80d4b0794c0679d797cb90ec101e162c", "title": "Maximizing face recognition performance for video data under time constraints by using a cascade", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918665", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918665", "http://doi.org/10.1109/AVSS.2014.6918665"]}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "7a81967598c2c0b3b3771c1af943efb1defd4482", "title": "Do We Need More Training Data?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01508.pdf"], "doi": []}, {"id": "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "title": "Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dc2e/805d0038f9d1b3d1bc79192f1d90f6091ecb.pdf"], "doi": []}, {"id": "aa331fe378056b6d6031bb8fe6676e035ed60d6d", "title": "Object detection using boosted local binaries", "year": "2016", "pdf": ["http://www.cs.sfu.ca/~li/papers-on-line/Haoyu-PR-2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.07.010"]}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}, {"id": "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "title": "Input/Output Deep Architecture for Structured Output Problems", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07550"]}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "b8f3f6d8f188f65ca8ea2725b248397c7d1e662d", "title": "Selfie Detection by Synergy-Constraint Based Convolutional Neural Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.04357.pdf"], "doi": []}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "5445e5fe5e42698413cfaf90f8c52009f19539ff", "title": "A 3D Morphable Model of Craniofacial Shape and Texture Variation", "year": "2017", "pdf": ["http://eprints.whiterose.ac.uk/135062/1/ICCV2017LYHM.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Dai_A_3D_Morphable_ICCV_2017_paper.pdf", "http://www-users.cs.york.ac.uk/~nep/research/papers/Dai-ICCV2017-3DMMhead.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237597", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.335", "http://doi.org/10.1109/ICCV.2017.335"]}, {"id": "2ff9618ea521df3c916abc88e7c85220d9f0ff06", "title": "Facial Tic Detection Using Computer Vision", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bb08/f64565ee68e868dcab904cada9646dd5f676.pdf"], "doi": []}, {"id": "b1a3b19700b8738b4510eecf78a35ff38406df22", "title": "Automatic Analysis of Facial Actions : A Survey", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b1a3/b19700b8738b4510eecf78a35ff38406df22.pdf"], "doi": []}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "22ccd537857aca1ee4b961f081f07c58d42a7f32", "title": "Face Recognition Despite Wearing Glasses", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371260", "http://doi.org/10.1109/DICTA.2015.7371260"]}, {"id": "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "title": "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03887.pdf"], "doi": []}, {"id": "90b11e095c807a23f517d94523a4da6ae6b12c76", "title": "Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.08475.pdf"], "doi": []}, {"id": "87bb183d8be0c2b4cfceb9ee158fee4bbf3e19fd", "title": "Craniofacial Image Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/87bb/183d8be0c2b4cfceb9ee158fee4bbf3e19fd.pdf"], "doi": []}, {"id": "1dc6c0ad19b41e5190fc9fe50e3ae27f49f18fa2", "title": "Head Pose Estimation in First-Person Camera Views", "year": "2014", "pdf": ["http://imagelab.ing.unimore.it/imagelab/pubblicazioni/ICPR_2014_head_pose.pdf", "http://www.researchgate.net/profile/Stefano_Alletto/publication/265611795_Head_Pose_Estimation_in_First-Person_Camera_Views/links/5416b5ef0cf2788c4b35e14b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977430", "http://doi.org/10.1109/ICPR.2014.718"]}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "e81b7576356c8b579e3dfa32d1edf7bfdf9c27ea", "title": "Head Pose Estimation with Improved Random Regression Forests", "year": "2013", "pdf": ["http://downloads.hindawi.com/journals/mpe/2015/703514.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-02961-0_57"]}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "4c1ce6bced30f5114f135cacf1a37b69bb709ea1", "title": "Gaze direction estimation by component separation for recognition of Eye Accessing Cues", "year": "2014", "pdf": ["http://imag.pub.ro/common/staff/cflorea/papers/nlp_eye_MVA_site.pdf"], "doi": ["http://doi.org/10.1007/s00138-014-0656-8"]}, {"id": "fd126e36337999640a0b623611b5fec8de390d46", "title": "Human Identification Using Automatic and Semi-Automatically Detected Facial Marks.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27405018", "http://doi.org/10.1111/1556-4029.12923"]}, {"id": "12055b8f82d5411f9ad196b60698d76fbd07ac1e", "title": "Multiview Facial Landmark Localization in RGB-D Images via Hierarchical Regression With Binary Patterns", "year": "2014", "pdf": ["https://zhzhanp.github.io/papers/TCSVT2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6748892", "http://doi.org/10.1109/TCSVT.2014.2308639"]}, {"id": "9abab00de61dd722b3ad1b8fa9bffd0001763f8b", "title": "Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080924", "http://doi.org/10.1109/TPAMI.2015.2420563", "https://www.ncbi.nlm.nih.gov/pubmed/26670586", "https://www.wikidata.org/entity/Q38398435"]}, {"id": "5dff253fab3740871784a8afc9613d7189a70ec9", "title": "Video Magnification to Detect Heart Rate for Drivers", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5dff/253fab3740871784a8afc9613d7189a70ec9.pdf"], "doi": []}, {"id": "642417f2bb1ff98989e0a0aa855253fed1fffe04", "title": "Auto zoom crop from face detection and facial features", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2004255"]}, {"id": "b171f9e4245b52ff96790cf4f8d23e822c260780", "title": "Robotics Institute Summer Scholars Working Papers Journal Volume 2 Fall 2014", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c86/efd96c9ea295fa6c0311b59a8dba76237f32.pdf"], "doi": []}, {"id": "ba017a8d16e47e57a1f3eb5a94c1ba24e6952274", "title": "An Optokinetic Nystagmus Detection Method for Use With Young Children", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7055238", "http://doi.org/10.1109/JTEHM.2015.2410286", "https://www.ncbi.nlm.nih.gov/pubmed/27170889"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "d511e903a882658c9f6f930d6dd183007f508eda", "title": "Privileged information-based conditional regression forest for facial feature detection", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553766.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553766", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553766", "http://doi.org/10.1109/FG.2013.6553766"]}, {"id": "c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee", "title": "Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05612.pdf"], "doi": []}, {"id": "6f7d06ced04ead3b9a5da86b37e7c27bfcedbbdd", "title": "Multi-Scale Fully Convolutional Network for Fast Face Detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f7d/06ced04ead3b9a5da86b37e7c27bfcedbbdd.pdf"], "doi": []}, {"id": "33688a865aa0d0fd19cb488bb5258b1203fd42d3", "title": "Human Face Pose Estimation based on Feature Extraction Points", "year": "2016", "pdf": ["http://www.ijcaonline.org/archives/volume142/number9/bhullar-2016-ijca-909922.pdf", "https://www.ijcaonline.org/archives/volume142/number9/24928-24928-2016909922?format=pdf"], "doi": ["https://doi.org/10.5120/ijca2016909922"]}, {"id": "b8a829b30381106b806066d40dd372045d49178d", "title": "A Probabilistic Framework for Joint Pedestrian Head and Body Orientation Estimation", "year": "2015", "pdf": ["http://gavrila.net/tits15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7010032", "http://doi.org/10.1109/TITS.2014.2379441"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "f531ce18befc03489f647560ad3e5639566b39dc", "title": "Boosting Speed and Accuracy in Deformable Part Models for Face Image in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7422386", "http://doi.ieeecomputersociety.org/10.1109/ACOMP.2015.9", "http://doi.org/10.1109/ACOMP.2015.9"]}, {"id": "437642cfc8c34e445ea653929e2d183aaaeeb704", "title": "Component Biologically Inspired Features with Moving Segmentation for Age Estimation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Hsu_Component_Biologically_Inspired_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/Component_Biologically_Inspired_Features_with_Moving_Segmentation_for_Age_Estimation_rev.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014815", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.81", "http://doi.org/10.1109/CVPRW.2017.81"]}, {"id": "d904f945c1506e7b51b19c99c632ef13f340ef4c", "title": "0 \u00b0 15 \u00b0 30 \u00b0 45 \u00b0 60 \u00b0 75 \u00b0 90 \u00b0", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d904/f945c1506e7b51b19c99c632ef13f340ef4c.pdf"], "doi": []}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "652ec3947d3d04dda719b1f5ba7c975e567166ef", "title": "Machine Vision and Applications Model-free Non-rigid Head Pose Tracking by Joint Shape and Pose Estimation", "year": "", "pdf": [], "doi": []}, {"id": "653b957d4c70d6cbf8de443df497e47edcab77b4", "title": "OuluVS2: A multi-view audiovisual database for non-rigid mouth motion analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163155", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163155", "http://doi.org/10.1109/FG.2015.7163155"]}, {"id": "bb070c019c0885232f114c7dca970d2afd9cd828", "title": "A Novel Landmark Detector System for Multi Resolution Frontal Faces", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008089", "http://doi.org/10.1109/DICTA.2014.7008089"]}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "8aed6ec62cfccb4dba0c19ee000e6334ec585d70", "title": "Localizing and Visualizing Relative Attributes", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8aed/6ec62cfccb4dba0c19ee000e6334ec585d70.pdf"], "doi": []}, {"id": "c82028f8fc6762e4f02a0001cf9d85e316274598", "title": "Seeing Small Faces from Robust Anchor's Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578636"]}, {"id": "912a6a97af390d009773452814a401e258b77640", "title": "An On-line Variational Bayesian Model for Multi-Person Tracking from Cluttered Scenes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01520.pdf"], "doi": []}, {"id": "1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f", "title": "Implementation of Partial Face Recognition using Directional Binary Code", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a6c/3c37c2e62b21ebc0f3533686dde4d0103b3f.pdf"], "doi": []}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "020d97ca2bf617b7ffed5a31aa8a27ffa5efadbb", "title": "An Efficient and Flexible FPGA Implementation of a Face Detection System", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/020d/97ca2bf617b7ffed5a31aa8a27ffa5efadbb.pdf"], "doi": []}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "3a591a9b5c6d4c62963d7374d58c1ae79e3a4039", "title": "Driver Cell Phone Usage Detection from HOV/HOT NIR Images", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W04/papers/Artan_Driver_Cell_Phone_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.42", "http://doi.org/10.1109/CVPRW.2014.42"]}, {"id": "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "title": "Detecting Faces Using Inside Cascaded Contextual CNN", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhang_Detecting_Faces_Using_ICCV_2017_paper.pdf", "https://ai.tencent.com/ailab/media/publications/Detecting_Faces_Using_Inside_Cascaded_Contextual_CNN.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237606", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.344", "http://doi.org/10.1109/ICCV.2017.344"]}, {"id": "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "title": "PyramidBox: A Context-assisted Single Shot Face Detector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07737.pdf"], "doi": []}, {"id": "fa59e9f47e2a467afc81fe1ed737563a3eabf223", "title": "Face recognition across pose for PTZ camera video surveillance applications", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593006"]}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "17a85799c59c13f07d4b4d7cf9d7c7986475d01c", "title": "Extending Procrustes Analysis: Building Multi-view 2-D Models from 3-D Human Shape Samples", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/17a8/5799c59c13f07d4b4d7cf9d7c7986475d01c.pdf"], "doi": []}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "8a46f8edd522fb5fc7002b2b356ac9ae3d551f10", "title": "Network and System Security", "year": "2018", "pdf": ["https://www.cs.odu.edu/~malmalag/CS472Spring2013/CS472-S13-lec01.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-02744-5"]}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "8cb6daba2cb1e208e809633133adfee0183b8dd2", "title": "Know Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8cb6/daba2cb1e208e809633133adfee0183b8dd2.pdf"], "doi": []}, {"id": "b73e1f50f2d6f2438c545da6703621cdcc5b3199", "title": "Hyperspectral Data Acquisition and Its Application for Face Recognition", "year": "2015", "pdf": [], "doi": []}, {"id": "64d9c5ab4cab193046ac839b74d182a472fe45ba", "title": "NosePose : a competitive , landmark-free methodology for head pose estimation in the wild", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/64d9/c5ab4cab193046ac839b74d182a472fe45ba.pdf"], "doi": []}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"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": "213a579af9e4f57f071b884aa872651372b661fd", "title": "Automatic and Efficient Human Pose Estimation for Sign Language Videos", "year": "2013", "pdf": ["http://tomas.pfister.fi/files/charles13ijcv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2013/Charles13a/charles13a.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0672-6"]}, {"id": "1dca6a54d201dd56b41a5475aaf498a207083b0e", "title": "Ego-surfing first person videos", "year": "2015", "pdf": ["https://arxiv.org/pdf/1606.04637.pdf"], "doi": []}, {"id": "365f67fe670bf55dc9ccdcd6888115264b2a2c56", "title": "Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.08212.pdf"], "doi": []}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "05f3744c2d272910fad0adc3a5fd9e919e005150", "title": "Head pose recovery and shape estimation in still images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bac7/5e1997d248dbd1b12e8b37bb663232687d4a.pdf"], "doi": []}, {"id": "f1173a4c5e3501323b37c1ae9a6d7dd8a236eab8", "title": "Convolutional Channel Features For Pedestrian, Face and Edge Detection", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07339"]}, {"id": "f5770dd225501ff3764f9023f19a76fad28127d4", "title": "Real Time Online Facial Expression Transfer with Single Video Camera", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f577/0dd225501ff3764f9023f19a76fad28127d4.pdf"], "doi": []}, {"id": "e9d43231a403b4409633594fa6ccc518f035a135", "title": "Deformable Part Models with CNN Features", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e9d4/3231a403b4409633594fa6ccc518f035a135.pdf"], "doi": []}, {"id": "ce5e50467e43e3178cbd86cfc3348e3f577c4489", "title": "Extending a local matching face recognition approach to low-resolution video", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636683.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636683", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636683", "http://doi.org/10.1109/AVSS.2013.6636683"]}, {"id": "2ae139b247057c02cda352f6661f46f7feb38e45", "title": "Combining modality specific deep neural networks for emotion recognition in video", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531745"]}, {"id": "31d51e48dbd9e7253eafe0719f3788adb564a971", "title": "Visual Phrases for Exemplar Face Detection", "year": "2015", "pdf": ["http://cvit.iiit.ac.in/projects/exemplar/vijayICCV15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410588", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.231", "http://doi.org/10.1109/ICCV.2015.231"]}, {"id": "33ae696546eed070717192d393f75a1583cd8e2c", "title": "Subspace selection to suppress confounding source domain information in AAM transfer learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08508.pdf"], "doi": []}, {"id": "01bef320b83ac4405b3fc5b1cff788c124109fb9", "title": "Translating Head Motion into Attention - Towards Processing of Student's Body-Language.", "year": "2015", "pdf": ["http://www.educationaldatamining.org/EDM2015/proceedings/full320-326.pdf", "https://infoscience.epfl.ch/record/207803/files/edm_raca15.pdf"], "doi": []}, {"id": "8be60114634caa0eff8566f3252cb9a1b7d5ef10", "title": "Multiple target tracking with structural inference", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890133", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890133", "http://doi.org/10.1109/ICME.2014.6890133"]}, {"id": "0629bc2b12245195af989e21573369329b7ef2b7", "title": "BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and Mental States", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7451244", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2016.2553038", "http://doi.org/10.1109/TAFFC.2016.2553038"]}, {"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": "290eeaed75693eda17ac6703f0a8364f14c24701", "title": "Learning to Deblur Images with Exemplars", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05503.pdf"], "doi": []}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}]}
\ No newline at end of file +{"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "citations": [{"id": "3233e3a6fa5acf7939259b4e881b8e635de5cae7", "title": "Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.09019.pdf"], "doi": []}, {"id": "3fe3d6ff7e5320f4395571131708ecaef6ef4550", "title": "TV News Retrieval Based on Story Segmentation and Concept Association", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7907487", "http://doi.org/10.1109/SITIS.2016.60"]}, {"id": "d8c9ce0bd5e4b6d1465402a760845e23af5ac259", "title": "Robust Face Detection with Eyes Occluded by the Shadow from Dazzling Avoidance System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313472", "http://doi.org/10.1109/ITSC.2015.380"]}, {"id": "285472527c5dc1c620d9644849e7519766c2d655", "title": "Learning Where to Position Parts in 3D", "year": "2015", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts.pdf", "http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410381", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.24", "http://doi.org/10.1109/ICCV.2015.24"]}, {"id": "30f62b05b9a69d671be4112d47eba90028a26c71", "title": "Predicting Students\u2019 GPA and Developing Intervention Strategies Based on Self-Regulatory Learning Behaviors", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016571"]}, {"id": "102e374347698fe5404e1d83f441630b1abf62d9", "title": "Facial Image Analysis for Fully Automatic Prediction of Difficult Endotracheal Intubation", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/209965/files/TBME-preprint-infoscience.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7159059", "http://doi.org/10.1109/TBME.2015.2457032", "https://www.ncbi.nlm.nih.gov/pubmed/26186767", "https://www.wikidata.org/entity/Q40724101"]}, {"id": "df096e221cc92c481d34443f4788c96ee412b189", "title": "Facial Expression Recognition by De-expression Residue Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578329"]}, {"id": "7177649ece5506b315cb73c36098baac1681b8d2", "title": "Lower Resolution Face Recognition in Surveillance Systems Using Discriminant Correlation Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961841", "http://doi.org/10.1109/FG.2017.130", "https://www.wikidata.org/entity/Q56384707"]}, {"id": "cad52d74c1a21043f851ae14c924ac689e197d1f", "title": "From Ego to Nos-Vision: Detecting Social Relationships in First-Person Views", "year": "2014", "pdf": ["http://imagelab.ing.unimore.it/imagelab/pubblicazioni/EGO_CVPRW_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W16/papers/Alletto_From_Ego_to_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910040", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.91", "http://doi.org/10.1109/CVPRW.2014.91"]}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "b599f323ee17f12bf251aba928b19a09bfbb13bb", "title": "Autonomous Quadcopter Videographer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b599/f323ee17f12bf251aba928b19a09bfbb13bb.pdf"], "doi": []}, {"id": "970681bbc2ee19a1e9f6c765ebf86003fbdc3471", "title": "Methods for facial expression recognition with applications in challenging situations", "year": "2014", "pdf": [], "doi": []}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "8d4f0517eae232913bf27f516101a75da3249d15", "title": "Event-based Dynamic Face Detection and Tracking Based on Activity.", "year": "2018", "pdf": [], "doi": []}, {"id": "83fd5c23204147844a0528c21e645b757edd7af9", "title": "USDOT number localization and recognition from vehicle side-view NIR images", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W05/papers/Bulan_USDOT_Number_Localization_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301301", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301301", "http://doi.org/10.1109/CVPRW.2015.7301301"]}, {"id": "1fef53b07c6c625545fc071c7386d41f87925675", "title": "A rule-based methodology and assessment for context-aware privacy", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981839"]}, {"id": "b51e3d59d1bcbc023f39cec233f38510819a2cf9", "title": "Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?", "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.4082.pdf"], "doi": []}, {"id": "be6bd94322dd0ecfc8ea99eb7f40a9a14dd3471f", "title": "Automatic Face Annotation System Used Pyramid Database Architecture for Online Social Networks", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6726280", "http://doi.org/10.1109/UIC-ATC.2013.32"]}, {"id": "699b8250fb93b3fa64b2fc8f59fef036e172564d", "title": "Spontaneous Facial Expression Recognition: A Part Based Approach", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7838251", "http://doi.org/10.1109/ICMLA.2016.0147"]}, {"id": "96a8f115df9e2c938453282feb7d7b9fde6f4f95", "title": "Facial Expression Recognition in Video with Multiple Feature Fusion", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7518582", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2016.2593719", "http://doi.org/10.1109/TAFFC.2016.2593719"]}, {"id": "8a8127a06f432982bfb0150df3212f379b36840b", "title": "Analysis of Yawning Behaviour in Spontaneous Expressions of Drowsy Drivers", "year": "2018", "pdf": ["https://www.cl.cam.ac.uk/~mmam3/pub/FG2018-HBU-yawining.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373884", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00091", "http://doi.org/10.1109/FG.2018.00091"]}, {"id": "44c278cbecd6c1123bfa5df92e0bda156895fa48", "title": "Head Pose Estimation by Instance Parameterization", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977027", "http://doi.org/10.1109/ICPR.2014.316"]}, {"id": "9d6e5c1fef16f9a9ace7ce90e6a547905be6b25d", "title": "( Simulated Expressions ) : Terjadi ketika ekspresi mikro tidak disertai ekspresi aslinya . 2 )", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9d6e/5c1fef16f9a9ace7ce90e6a547905be6b25d.pdf"], "doi": []}, {"id": "ed82f10e5bfe1825b9fa5379a1d0017b96fa1ebf", "title": "A Face-Recognition Approach Using Deep Reinforcement Learning Approach for User Authentication", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8119148", "http://doi.ieeecomputersociety.org/10.1109/ICEBE.2017.36", "http://doi.org/10.1109/ICEBE.2017.36"]}, {"id": "a3e66902fd95b757edca4268c8a29258ae9b15cb", "title": "Exploring Locally Rigid Discriminative Patches for Learning Relative Attributes", "year": "2015", "pdf": ["http://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/papers/Yashaswi2015Exploring.pdf", "http://web2py.iiit.ac.in/research_centres/publications/download/inproceedings.pdf.9e10abf4c148e233.5961736861737769323031354578706c6f72696e672e706466.pdf", "http://www.bmva.org/bmvc/2015/papers/paper170/abstract170.pdf", "http://www.bmva.org/bmvc/2015/papers/paper170/paper170.pdf"], "doi": ["https://doi.org/10.5244/C.29.170"]}, {"id": "76b11c281ac47fe6d95e124673a408ee9eb568e3", "title": "Real-time Multi View Face Detection and Pose Estimation Aishwarya", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76b1/1c281ac47fe6d95e124673a408ee9eb568e3.pdf"], "doi": []}, {"id": "465faf9974a60da00950be977f3bc2fc3e56f5d2", "title": "Facial action unit intensity estimation and feature relevance visualization with random regression forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273631", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273631", "http://doi.org/10.1109/ACII.2017.8273631"]}, {"id": "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393", "http://doi.org/10.1109/CVPR.2017.393"]}, {"id": "b8978a5251b6e341a1171e4fd9177aec1432dd3a", "title": "FaceHunter: A multi-task convolutional neural network based face detector", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.04.004"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "39b22bcbd452d5fea02a9ee63a56c16400af2b83", "title": "Multi-task Learning of Facial Landmarks and Expression", "year": "2014", "pdf": ["http://www.uoguelph.ca/~gwtaylor/publications/devries2014multi-task.pdf", "http://www.uoguelph.ca/~gwtaylor/publications/gwtaylor_crv2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6816830", "http://doi.ieeecomputersociety.org/10.1109/CRV.2014.21", "http://doi.org/10.1109/CRV.2014.21"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "57dc55edade7074f0b32db02939c00f4da8fe3a6", "title": "Yaw Estimation Using Cylindrical and Ellipsoidal Face Models", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6807708", "http://doi.org/10.1109/TITS.2014.2313371"]}, {"id": "fd4ac1da699885f71970588f84316589b7d8317b", "title": "Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0601.pdf"], "doi": []}, {"id": "a6e75b4ccc793a58ef0f6dbe990633f7658c7241", "title": "Boosting Hankel matrices for face emotion recognition and pain detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2016.10.007"]}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.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": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without Face Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "55cfc3c08000f9d21879582c6296f2a864b657e8", "title": "Comparisons of local methods for face alignment", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0287", "https://doi.org/10.1049/iet-cvi.2015.0287"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "9282239846d79a29392aa71fc24880651826af72", "title": "Classification of extreme facial events in sign language videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0f3f/d27ba8fd119c51ca14d1e1f154c4bc50a83c.pdf"], "doi": []}, {"id": "2162654cb02bcd10794ae7e7d610c011ce0fb51b", "title": "Joint gaze-correction and beautification of DIBR-synthesized human face via dual sparse coding", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025952"]}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": [], "doi": []}, {"id": "010c6081a66990ce7754f12dd1b37fc677a7751d", "title": "Facial first impressions from another angle: How social judgements are influenced by changeable and invariant facial properties.", "year": "2017", "pdf": ["http://eprints.whiterose.ac.uk/102935/1/Sutherland_et_al_accepted_15_June_2016_BJP.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27443971", "https://doi.org/10.1111/bjop.12206"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "b36a80d15c3e48870ea6118b855055cc34307658", "title": "Facial 3D Shape Estimation from Images for Visual Speech Animation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976728", "http://doi.org/10.1109/ICPR.2014.17"]}, {"id": "05487784c1c94e17c26862e342c1b81acfe11258", "title": "Spontaneous facial expression analysis based on temperature changes and head motions", "year": "2015", "pdf": ["http://videolectures.net/site/normal_dl/tag=977246/fgconference2015_liu_head_motions_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163094", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163094", "http://doi.org/10.1109/FG.2015.7163094"]}, {"id": "02431ed90700d5cfe4e3d3a20f1e97de3e131569", "title": "Finding Actors and Actions in Movies", "year": "2013", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=A668684E950686DFF50E8BA323DC811B?doi=10.1.1.414.5058&rep=rep1&type=pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Bojanowski_Finding_Actors_and_2013_ICCV_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/bojanowski2013finding.pdf", "http://www.di.ens.fr/willow/research/actoraction/bojanowski2013finding_poster.pdf", "http://www.di.ens.fr/~bojanowski/papers/bojanowski13finding.pdf", "http://www.di.ens.fr/~bojanowski/papers/bojanowski13finding_poster.pdf", "http://www.di.ens.fr/~josef/publications/bojanowski13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751394", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.283", "http://doi.org/10.1109/ICCV.2013.283"]}, {"id": "102b27922e9bd56667303f986404f0e1243b68ab", "title": "Multiscale recurrent regression networks for face alignment", "year": "2017", "pdf": ["https://applied-informatics-j.springeropen.com/track/pdf/10.1186/s40535-017-0042-5?site=applied-informatics-j.springeropen.com"], "doi": ["http://doi.org/10.1186/s40535-017-0042-5"]}, {"id": "529baf1a79cca813f8c9966ceaa9b3e42748c058", "title": "Triangle wise Mapping Technique to Transform one Face Image into Another Face Image", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6ae7/47cf58eeda0687a3f779aaecfa12403b9684.pdf"], "doi": []}, {"id": "bcb99d5150d792001a7d33031a3bd1b77bea706b", "title": "Facial Descriptors for Human Interaction Recognition In Still Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05366.pdf"], "doi": []}, {"id": "1ea21515ddad82f1e85b4c5883b93ea3909019b5", "title": "Histograms of Sparse Codes for Object Detection", "year": "2013", "pdf": ["http://homes.cs.washington.edu/~xren/publication/xren_cvpr13_detection.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d246.pdf", "http://www.csc.kth.se/~azizpour/rg/materials/hossein_008_slides.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Histograms_of_Sparse_2013_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/slides/ren__cvpr2013__histograms__azizpour.pdf", "https://www.cs.cmu.edu/~deva/papers/hsc.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619261", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.417", "http://doi.org/10.1109/CVPR.2013.417"]}, {"id": "11be33019f591214c8f79dbcb24a50d8f7fa5c95", "title": "Salgan 360 : Visual Saliency Prediction on 360 Degree Images with Generative Adversarial Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/11be/33019f591214c8f79dbcb24a50d8f7fa5c95.pdf"], "doi": []}, {"id": "392425be1c9d9c2ee6da45de9df7bef0d278e85f", "title": "Vision for Intelligent Vehicles & Applications (VIVA): Face detection and head pose challenge", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0411.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535512", "http://doi.org/10.1109/IVS.2016.7535512"]}, {"id": "038ce930a02d38fb30d15aac654ec95640fe5cb0", "title": "Approximate structured output learning for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices", "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/BVGFacialFeatureTrackerMobile.pdf", "http://kylezheng.org/papers/SO_CLMslideatFG.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/BVGFacialFeatureTrackerMobile.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553701.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553701", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553701", "http://doi.org/10.1109/FG.2013.6553701"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"id": "3d62b2f9cef997fc37099305dabff356d39ed477", "title": "Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02734.pdf"], "doi": []}, {"id": "1cb0c11620bde2734c1a428c789158ffff0d6c7b", "title": "A Framework of Enlarging Face Datasets Used for Makeup Face Analysis", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7545025", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2016.62", "http://doi.org/10.1109/BigMM.2016.62"]}, {"id": "96faccdddef887673d6007fed8ff2574580cae1f", "title": "Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained \"Hard Faces\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09145.pdf"], "doi": []}, {"id": "93dea8bca77df9841bab6b0bcef6d56cb51e761d", "title": "Improving retail efficiency through sensing technologies: A survey", "year": "2016", "pdf": ["http://oa.upm.es/46144/1/INVE_MEM_2016_249461.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2016.05.027"]}, {"id": "ab00ea1aa2f81fbe139b4632ec3682dfb7312ef0", "title": "Comparison of face detection and image classification for detecting front seat passengers in vehicles", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835994", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835994", "http://doi.org/10.1109/WACV.2014.6835994"]}, {"id": "826015d9ade1637b3fcbeca071e3137d3ac1ef56", "title": "A Deep Learning Frame-Work for Recognizing Developmental Disorders", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926667", "http://doi.org/10.1109/WACV.2017.84"]}, {"id": "10d334a98c1e2a9e96c6c3713aadd42a557abb8b", "title": "Scene Text Recognition Using Part-Based Tree-Structured Character Detection", "year": "2013", "pdf": ["http://sunw.csail.mit.edu/2013/papers/Shi_19_SUNw.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c961.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shi_Scene_Text_Recognition_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619225", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.381", "http://doi.org/10.1109/CVPR.2013.381"]}, {"id": "46a4551a6d53a3cd10474ef3945f546f45ef76ee", "title": "Robust and continuous estimation of driver gaze zone by dynamic analysis of multiple face videos", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/TawariTrivedi_IV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6856607", "http://doi.org/10.1109/IVS.2014.6856607"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "1dd56ce2f980283a9f167b9a84c3d42a47481524", "title": "FaceCept3D: Real Time 3D Face Tracking and Analysis", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w2/papers/Tulyakov_FaceCept3D_Real_Time_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406362", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.13", "http://doi.org/10.1109/ICCVW.2015.13"]}, {"id": "228558a2a38a6937e3c7b1775144fea290d65d6c", "title": "Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization", "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/face-landmark-localization/SmithCVPR2014.pdf", "http://pages.cs.wisc.edu/~lizhang/projects/face-landmark-localization/SmithCVPR2014_supplementary.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Smith_Nonparametric_Context_Modeling_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909621", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.225", "http://doi.org/10.1109/CVPR.2014.225"]}, {"id": "f33bd953d2df0a5305fc8a93a37ff754459a906c", "title": "Deformable Models of Ears in-the-Wild for Alignment and Recognition", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2017earrecognitioninthewild.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961800", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.79", "http://doi.org/10.1109/FG.2017.79"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "60777fbca8bff210398ec8b1179bc4ecb72dfec0", "title": "A Deformable Mixture Parsing Model with Parselets", "year": "2013", "pdf": ["http://next.comp.nus.edu.sg/sites/default/files/publication-attachments/A%20Deformable%20Mixture%20Part%20Model%20with%20Parselets.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Dong_A_Deformable_Mixture_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751535", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.423", "http://doi.org/10.1109/ICCV.2013.423"]}, {"id": "da386f486dd2f12281aabb368543e62459f1e79a", "title": "Cascade of Boolean detector combinations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef4/c6bb430c4792522866fdad40a0ed8e76809f.pdf"], "doi": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "2fe86e9c115562df2114eeedc7db1aece07a3638", "title": "Effects of surface materials on polarimetric-thermal measurements: applications to face recognition.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27409214", "http://doi.org/10.1364/AO.55.005226"]}, {"id": "ef26b36eb5966364c71d4fed135fe68f891127e5", "title": "Joint Face Detection and Facial Expression Recognition with MTCNN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8110322"]}, {"id": "b9a8263017cadadbe72e3d5da035d0463c8f3df4", "title": "Engineered and learned features for face and facial expression recognition", "year": "2015", "pdf": [], "doi": []}, {"id": "25695abfe51209798f3b68fb42cfad7a96356f1f", "title": "AN INVESTIGATION INTO COMBINING BOTH FACIAL DETECTION AND LANDMARK LOCALISATION INTO A UNIFIED PROCEDURE USING GPU COMPUTING", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2569/5abfe51209798f3b68fb42cfad7a96356f1f.pdf"], "doi": []}, {"id": "a55efc4a6f273c5895b5e4c5009eabf8e5ed0d6a", "title": "Continuous Head Movement Estimator for Driver Assistance: Issues, Algorithms, and On-Road Evaluations", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/TawariMartinTrivedi_IEEETITS2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6746153", "http://doi.org/10.1109/TITS.2014.2300870"]}, {"id": "7384c39a2d084c93566b98bc4d81532b5ad55892", "title": "A Comparative Study of Face Landmarking Techniques", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0e5d/a8dbe9255b72ddbd6465acbe0d04325f9c50.pdf"], "doi": []}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face Alignment", "year": "2018", "pdf": [], "doi": []}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "cbc2de9b919bc63590b6ee2dfd9dda134af45286", "title": "Direct face detection and video reconstruction from event cameras", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477561", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477561", "http://doi.org/10.1109/WACV.2016.7477561"]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "d69df51cff3d6b9b0625acdcbea27cd2bbf4b9c0", "title": "Robust Remote Heart Rate Determination for E-Rehabilitation - A Method that Overcomes Motion and Intensity Artefacts", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d69d/f51cff3d6b9b0625acdcbea27cd2bbf4b9c0.pdf"], "doi": []}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"], "doi": []}, {"id": "2d072cd43de8d17ce3198fae4469c498f97c6277", "title": "Random Cascaded-Regression Copse for Robust Facial Landmark Detection", "year": "2015", "pdf": ["http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-IEEE-SPL-2015.pdf", "http://www.patrikhuber.ch/files/RCRC_SPL_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877655", "http://doi.org/10.1109/LSP.2014.2347011"]}, {"id": "58bb77dff5f6ee0fb5ab7f5079a5e788276184cc", "title": "Facial expression recognition with PCA and LBP features extracting from active facial patches", "year": "2016", "pdf": ["https://ram-lab.com/papers/2016/rcar_lyp_192.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7784056", "http://doi.org/10.1109/RCAR.2016.7784056"]}, {"id": "cc9a61a30afdb8a5bc7088e1cef814b53dc4fc66", "title": "Multi-Pose and Occluded Facial Landmark Localization Via Sparse Shape Representation", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1142/s0218213015400199"]}, {"id": "2b6683dc7e94863e2df5d4ff2b5eb44c0b1957c7", "title": "Improving Robustness of Biometric Identity Determination with Digital Watermarking", "year": "2016", "pdf": ["http://downloads.hindawi.com/journals/jece/2016/6390741.pdf"], "doi": ["https://doi.org/10.1155/2016%2F6390741", "https://doi.org/10.1155/2016/6390741"]}, {"id": "3998c5aa6be58cce8cb65a64cb168864093a9a3e", "title": "Understanding head and hand activities and coordination in naturalistic driving videos", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/HeadHand.pdf", "http://cvrr.ucsd.edu/publications/2014/MartinOhnbarTawariTrivedi_IV2014.pdf", "http://cvrr.ucsd.edu/scmartin/presentation/IV2014_HeadHand.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6856610", "http://doi.org/10.1109/IVS.2014.6856610"]}, {"id": "a83fc450c124b7e640adc762e95e3bb6b423b310", "title": "Deep Face Feature for Face Alignment and Reconstruction", "year": "2017", "pdf": [], "doi": []}, {"id": "3cb64217ca2127445270000141cfa2959c84d9e7", "title": "Can body expressions contribute to automatic depression analysis?", "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Joshi_Goecke_Parker_Breakspear_FG2013_CanBodyExpressionsContributeToAutomaticDepressionAnalysis.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553796.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553796", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553796", "http://doi.org/10.1109/FG.2013.6553796"]}, {"id": "26e570049aaedcfa420fc8c7b761bc70a195657c", "title": "Hybrid Facial Regions Extraction for Micro-expression Recognition System", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/26e5/70049aaedcfa420fc8c7b761bc70a195657c.pdf"], "doi": []}, {"id": "78a4cabf0afc94da123e299df5b32550cd638939", "title": "Multi-view face recognition from single RGBD models of the faces", "year": "2017", "pdf": ["https://engineering.purdue.edu/kak/FaceRecognitionUnconstrainedPurdueRVL.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.04.008"]}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "106732a010b1baf13c61d0994552aee8336f8c85", "title": "Expanded Parts Model for Semantic Description of Humans in Still Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.04186.pdf"], "doi": []}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"id": "17cf838720f7892dbe567129dcf3f7a982e0b56e", "title": "Global-Local Face Upsampling Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07235.pdf"], "doi": []}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "6eba25166fe461dc388805cc2452d49f5d1cdadd", "title": "ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6eba/25166fe461dc388805cc2452d49f5d1cdadd.pdf"], "doi": []}, {"id": "7ac2fc0fcda50c358cc812007bd99f370b779324", "title": "Automatic temporal segment detection via bilateral long short-term memory recurrent neural networks", "year": "2017", "pdf": ["http://www.bnusei.net/wp-content/uploads/2017/11/JEI_26_2_020501.pdf"], "doi": ["https://doi.org/10.1117/1.JEI.26.2.020501", "https://www.spiedigitallibrary.org/journalArticle/Download?fullDOI=10.1117/1.JEI.26.2.020501"]}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.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": "56dca23481de9119aa21f9044efd7db09f618704", "title": "Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.02772.pdf"], "doi": []}, {"id": "5180c98815d7034e753a14ef6f54583f115da3aa", "title": "Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107971", "http://doi.ieeecomputersociety.org/10.1109/iV.2017.40", "http://doi.org/10.1109/iV.2017.40"]}, {"id": "2c61a9e26557dd0fe824909adeadf22a6a0d86b0", "title": "Convolutional Channel Features", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07339.pdf"], "doi": []}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"], "doi": []}, {"id": "0d33b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a", "title": "Detection and Tracking of Faces in Videos: A Review of Related Work", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0d33/b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a.pdf"], "doi": []}, {"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "120b9c271c3a4ea0ad12bbc71054664d4d460bc3", "title": "Face Recognition against Mouth Shape Variations", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371259", "http://doi.org/10.1109/DICTA.2015.7371259"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "2f0b8579829b3d4efdbc03c96821e33d7cc65e1d", "title": "Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision", "year": "2014", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Pedersoli_Using_a_Deformation_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909867", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.472", "http://doi.org/10.1109/CVPR.2014.472"]}, {"id": "b3c60b642a1c64699ed069e3740a0edeabf1922c", "title": "Max-Margin Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00046.pdf"], "doi": []}, {"id": "e50ec6b6d1c189edc127eb403c41a64f34fc0a6c", "title": "Learning Flexible Block based Local Binary Patterns for unconstrained face detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890187"]}, {"id": "e9ed17fd8bf1f3d343198e206a4a7e0561ad7e66", "title": "Cognitive Learning for Social Robot through Facial Expression from Video Input", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e9ed/17fd8bf1f3d343198e206a4a7e0561ad7e66.pdf"], "doi": []}, {"id": "e8ab6ed88fecfdc936c44bc7a73e00a1eaf17f63", "title": "Attributes in Multiple Facial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373846"]}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "0b174d4a67805b8796bfe86cd69a967d357ba9b6", "title": "A Survey on Face Detection and Recognition Approaches", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0b17/4d4a67805b8796bfe86cd69a967d357ba9b6.pdf"], "doi": []}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373908", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00115", "http://doi.org/10.1109/FG.2018.00115"]}, {"id": "747c25bff37b96def96dc039cc13f8a7f42dbbc7", "title": "EmoNets: Multimodal deep learning approaches for emotion recognition in video", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01800.pdf"], "doi": []}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "e50ee29ca12028cb903cd498bb9cacd41bd5ce3a", "title": "Single-view-based 3D facial reconstruction method robust against pose variations", "year": "2015", "pdf": ["http://cherup.yonsei.ac.kr/files/Paper/2015_PR_Single-view-based%203D%20facial%20reconstruction%20method%20robust%20against%20pose%20variations.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.07.013"]}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "40f127fa4459a69a9a21884ee93d286e99b54c5f", "title": "Optimizing Apparent Display Resolution Enhancement for Arbitrary Videos", "year": "2013", "pdf": ["http://graphics.tu-bs.de/media/publications/stengel2013resolution.pdf", "https://www.graphics.tu-bs.de/upload/publications/stengel2013resolution.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6522878", "http://doi.org/10.1109/TIP.2013.2265885", "https://www.ncbi.nlm.nih.gov/pubmed/23744682", "https://www.wikidata.org/entity/Q51205072"]}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "25885e9292957feb89dcb4a30e77218ffe7b9868", "title": "Analyzing the Affect of a Group of People Using Multi-modal Framework", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.03640.pdf"], "doi": []}, {"id": "49fdafef327069516d887d8e69b5e96c983c3dd0", "title": "Face Retrieval in Video Sequences Using a Single Face Sample", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227433", "http://doi.org/10.1109/DICTA.2017.8227433"]}, {"id": "7234468db46b37e2027ab2978c67b48b8581f796", "title": "Mirrored non-maximum suppression for accurate object part localization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486464", "http://doi.org/10.1109/ACPR.2015.7486464"]}, {"id": "00a3cfe3ce35a7ffb8214f6db15366f4e79761e3", "title": "Using Kinect for real-time emotion recognition via facial expressions", "year": "2015", "pdf": ["http://engineering.cae.cn/fitee/fileup/2095-9184/SUPPL/20150414135701.pdf"], "doi": ["http://doi.org/10.1631/FITEE.1400209"]}, {"id": "7c7b0550ec41e97fcfc635feffe2e53624471c59", "title": "Head, Eye, and Hand Patterns for Driver Activity Recognition", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/headhandeye.pdf", "http://cvrr.ucsd.edu/publications/2014/headhandeye.pdf", "https://eshed1.github.io/papers/headhandeye.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976834", "http://doi.org/10.1109/ICPR.2014.124"]}, {"id": "44a3ec27f92c344a15deb8e5dc3a5b3797505c06", "title": "A Taxonomy of Part and Attribute Discovery Techniques", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/44a3/ec27f92c344a15deb8e5dc3a5b3797505c06.pdf"], "doi": []}, {"id": "4a0f98d7dbc31497106d4f652968c708f7da6692", "title": "Real-time eye gaze direction classification using convolutional neural network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05258.pdf"], "doi": []}, {"id": "30c93fec078b98453a71f9f21fbc9512ab3e916f", "title": "Multimodal Egocentric Analysis of Focused Interactions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395274", "http://doi.org/10.1109/ACCESS.2018.2850284", "https://doi.org/10.1109/ACCESS.2018.2850284"]}, {"id": "3157be811685c93d0cef7fa4c489efea581f9b8e", "title": "Multi-spectral Imaging for Robust Ocular Biometrics", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411222", "http://doi.org/10.1109/ICB2018.2018.00038", "https://doi.org/10.1109/ICB2018.2018.00038"]}, {"id": "a4de780b8b333f073667c1f2dd7b3ae54a97f380", "title": "Research on Abnormal Behavior Detection of Online Examination Based on Image Information", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8530188"]}, {"id": "eaf020bc8a3ed5401fc3852f7037a03b2525586a", "title": "Adversarially Optimizing Intersection over Union for Object Localization Tasks", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1710.07735"]}, {"id": "d861c658db2fd03558f44c265c328b53e492383a", "title": "Automated face extraction and normalization of 3D Mesh Data", "year": "2014", "pdf": ["http://homes.cs.washington.edu/~shapiro/Multimedia/Jia_EMBC2014_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6943699", "http://doi.org/10.1109/EMBC.2014.6943699", "https://www.ncbi.nlm.nih.gov/pubmed/25570067", "https://www.wikidata.org/entity/Q30883352"]}, {"id": "4aa18f3a1c85f7a09d3b0d6b28c0339199892d60", "title": "The Application of Neural Networks for Facial Landmarking on Mobile Devices", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4aa1/8f3a1c85f7a09d3b0d6b28c0339199892d60.pdf"], "doi": []}, {"id": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "123a9768700433c405bd7266f4c57ca8222e7fe1", "title": "Expanded Parts Model for Human Attribute and Action Recognition in Still Images", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/Sharma_Expanded_Parts_Model_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a652.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/sharma__cvpr2013__expanded.pdf", "https://hal.inria.fr/hal-00816144/file/sharma_epm_cvpr2013.pdf", "https://jurie.users.greyc.fr/papers/13_CVPR_EPPM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618934", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.90", "http://doi.org/10.1109/CVPR.2013.90"]}, {"id": "15a3c96a0cf4c0d7f4abd025572255f82e017ff7", "title": "High-quality face capture, animation and editing from monocular video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a3/c96a0cf4c0d7f4abd025572255f82e017ff7.pdf"], "doi": []}, {"id": "2f489bd9bfb61a7d7165a2f05c03377a00072477", "title": "Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2f48/9bd9bfb61a7d7165a2f05c03377a00072477.pdf"], "doi": []}, {"id": "1287bfe73e381cc8042ac0cc27868ae086e1ce3b", "title": "Computational Mid-Level Vision: From Border Ownership to Categorical Object Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1287/bfe73e381cc8042ac0cc27868ae086e1ce3b.pdf"], "doi": []}, {"id": "c71552fb2a18458a5607c609b96433004ada1131", "title": "Review of Selected Techniques and Measures Affecting the Reliability of Face Image Acquisition Systems / Przegl\u0105d Wybranych Technik I \u015arodk\u00f3w Wp\u0142ywaj\u0105cych Na Niezawodno\u015b\u0107 Dzia\u0142ania System\u00f3w Akwizycji Obrazu Twarzy", "year": "2014", "pdf": ["https://content.sciendo.com/downloadpdf/journals/jok/29/1/article-p49.pdf"], "doi": ["https://doi.org/10.2478/jok-2014-0006"]}, {"id": "1f2d12531a1421bafafe71b3ad53cb080917b1a7", "title": "Joint optimization of manifold learning and sparse representations", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Andy/Andy_files/AI_Seminar_March_1_2013_Ptucha.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553786.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553786", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553786", "http://doi.org/10.1109/FG.2013.6553786", "http://scholarworks.rit.edu/cgi/viewcontent.cgi?article=5352&context=theses"]}, {"id": "5334ac0a6438483890d5eef64f6db93f44aacdf4", "title": "MINH HOAI : REGULARIZEDMAX POOLING FOR IMAGE CATEGORIZATION 1 Regularized Max Pooling for Image Categorization", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5334/ac0a6438483890d5eef64f6db93f44aacdf4.pdf"], "doi": []}, {"id": "9888ce5cb5cae8ba4f288806d126b1114e0a7f9b", "title": "Enhanced face recognition using 8-Connectivity-of-Skin-Region and Standard-Deviation-based-Pose-Detection as preprocessing techniques", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006034", "http://doi.org/10.1109/MedCom.2014.7006034"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "1f8e44593eb335c2253d0f22f7f9dc1025af8c0d", "title": "Fine-Tuning Regression Forests Votes for Object Alignment in the Wild", "year": "2015", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22607/Patras%20Fine-tuning%20regression%202014%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6987359", "http://doi.org/10.1109/TIP.2014.2383325", "https://www.ncbi.nlm.nih.gov/pubmed/25532183", "https://www.wikidata.org/entity/Q41658941"]}, {"id": "62f0d8446adee6a5e8102053a63a61af07ac4098", "title": "Facial point detection using convolutional neural network transferred from a heterogeneous task", "year": "2015", "pdf": ["http://www.vision.cs.chubu.ac.jp/MPRG/C_group/C072_yamashita2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351298", "http://doi.org/10.1109/ICIP.2015.7351298"]}, {"id": "cbe1df2213a88eafc5dcaf55264f2523fe3ec981", "title": "Automatic 4D Facial Expression Recognition Using DCT Features", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045888", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.34", "http://doi.org/10.1109/WACV.2015.34"]}, {"id": "0d90c992dd08bfb06df50ab5c5c77ce83061e830", "title": "An Automatic Face Annotation System Featuring High Accuracy for Online Social Networks", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6726205", "http://doi.org/10.1109/UIC-ATC.2013.85"]}, {"id": "10ab1b48b2a55ec9e2920a5397febd84906a7769", "title": "Demo: I-Pic: A Platform for Privacy-Compliant Image Capture", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2938589"]}, {"id": "b908edadad58c604a1e4b431f69ac8ded350589a", "title": "Deep Face Feature for Face Alignment", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02721.pdf"], "doi": []}, {"id": "20a3ce81e7ddc1a121f4b13e439c4cbfb01adfba", "title": "Sparse-MVRVMs Tree for Fast and Accurate Head Pose Estimation in the Wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e805/bc872e18277c7cbfce82206cf1667cce22cc.pdf"], "doi": []}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "title": "Nested Shallow CNN-Cascade for Face Detection in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961737"]}, {"id": "4850af6b54391fc33c8028a0b7fafe05855a96ff", "title": "Discovering useful parts for pose estimation in sparsely annotated datasets", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.00707.pdf"], "doi": []}, {"id": "9ab963e473829739475b9e47514f454ab467a5af", "title": "A Fully End-to-End Cascaded CNN for Facial Landmark Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961742", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.33", "http://doi.org/10.1109/FG.2017.33"]}, {"id": "f345a05353f5784b64eefb7785661cc0be519521", "title": "LBF Based 3D Regression for Facial Animation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7938207"]}, {"id": "2b2924af7ec219bd1fadcbd2c57014ed54efec86", "title": "Channeling Mr. Potato head - Face super-resolution using semantic components", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6806053"]}, {"id": "06da0e4ae21835f0d33cfbf66c8b73b58625c57b", "title": "Facial Keypoints Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.05279.pdf"], "doi": []}, {"id": "f402e088dddfaad7667bd4def26092d05f247206", "title": "Passenger Compartment Violation Detection in HOV/HOT Lanes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7283621", "http://doi.org/10.1109/TITS.2015.2475721"]}, {"id": "142dcfc3c62b1f30a13f1f49c608be3e62033042", "title": "Adaptive region pooling for object detection", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr15_object_detection.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_080.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_080_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_080_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tsai_Adaptive_Region_Pooling_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298673", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298673", "http://doi.org/10.1109/CVPR.2015.7298673"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1111/cgf.12760"]}, {"id": "61971f8e6fff5b35faed610d02ad14ccfc186c70", "title": "Identity-Adaptive Facial Expression Recognition through Expression Regeneration Using Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373843", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00050", "http://doi.org/10.1109/FG.2018.00050"]}, {"id": "9776a9f3c59907f45baaeda4b8907dcdac98aef1", "title": "The video face recognition method and system based on the fusion of multiple features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301924", "http://doi.org/10.1109/CISP-BMEI.2017.8301924"]}, {"id": "3066a4e95985f77cf5cd54d53a7f3526a4ff124c", "title": "A Face-to-Face Neural Conversation Model", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578841"]}, {"id": "b0358af78b7c5ee7adc883ef513bbcc84a18a02b", "title": "Universal Skin Detection Without Color Information", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926593.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926593", "http://doi.org/10.1109/WACV.2017.10"]}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-018-01617-y"]}, {"id": "60c97065418fbd30e55d79b764c7c3961106ac3d", "title": "Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06664.pdf"], "doi": []}, {"id": "edc5a0a8b9fc6ae0e8d8091a2391767f645095d9", "title": "Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera", "year": "2015", "pdf": ["http://www.es.mdh.se/pdf_publications/3948.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313516", "http://doi.org/10.1109/ITSC.2015.424"]}, {"id": "c175f1666f3444e407660c5935a05b2a53f346f0", "title": "Modifying the Memorability of Face", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c175/f1666f3444e407660c5935a05b2a53f346f0.pdf"], "doi": []}, {"id": "3dfbd17bd9caf7bd1d908ff469dec2b61e8a9548", "title": "Usability of Pilot's Gaze in Aeronautic Cockpit for Safer Aircraft", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313344", "http://doi.org/10.1109/ITSC.2015.252"]}, {"id": "58823377757e7dc92f3b70a973be697651089756", "title": "Automatic facial expression analysis", "year": "2014", "pdf": ["http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-861.pdf", "http://www.cl.cam.ac.uk/~tb346/pub/thesis/phd_thesis.pdf"], "doi": ["http://doi.org/10.17863/CAM.16382", "http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600539"]}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "3626401bfe9898de61716651582f208e260b9c38", "title": "Adaptive skin detection using face location and facial structure estimation", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1049/iet-cvi.2016.0295"]}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "74ba4ab407b90592ffdf884a20e10006d2223015", "title": "Partial Face Detection in the Mobile Domain", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02117.pdf"], "doi": []}, {"id": "b3cb117f2424209d5997d5745772dfadd02dc80d", "title": "Semantic Summarization of Egocentric Photo Stream Events", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00438.pdf"], "doi": []}, {"id": "24bf94f8090daf9bda56d54e42009067839b20df", "title": "Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition", "year": "2015", "pdf": ["https://www.computer.org/csdl/trans/tp/2015/06/06940284.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6940284", "http://doi.org/10.1109/TPAMI.2014.2366127", "https://www.ncbi.nlm.nih.gov/pubmed/26357337", "https://www.wikidata.org/entity/Q38584262"]}, {"id": "5e62b2ab6fd3886e673fd5cbee160a5bee414507", "title": "Facial Emotion Recognition Based on Facial Motion Stream Generated by Kinect", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7400554", "http://doi.ieeecomputersociety.org/10.1109/SITIS.2015.31", "http://doi.org/10.1109/SITIS.2015.31"]}, {"id": "68f61154a0080c4aae9322110c8827978f01ac2e", "title": "Recognizing blurred , non-frontal , illumination and expression variant partially occluded faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68f6/1154a0080c4aae9322110c8827978f01ac2e.pdf"], "doi": []}, {"id": "6966d9d30fa9b7c01523425726ab417fd8428790", "title": "Exemplar-Based Face Parsing", "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013.pdf", "http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013_poster.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d484.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Smith_Exemplar-Based_Face_Parsing_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619291", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.447", "http://doi.org/10.1109/CVPR.2013.447"]}, {"id": "cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3", "title": "Facial Landmark Detection via Progressive Initialization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406479", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.130", "http://doi.org/10.1109/ICCVW.2015.130"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "title": "Mixture of parts revisited: Expressive part interactions for Pose Estimation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6791.pdf"], "doi": []}, {"id": "91ead35d1d2ff2ea7cf35d15b14996471404f68d", "title": "Combining and Steganography of 3D Face Textures", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01325.pdf"], "doi": []}, {"id": "fc970d7694b1d2438dd101a146d2e4f29087963e", "title": "Fusing Multilabel Deep Networks for Facial Action Unit Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961807", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.86", "http://doi.org/10.1109/FG.2017.86"]}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"], "doi": []}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "bcc5cbbb540ee66dc8b9a3453b506e895d8395de", "title": "Joint Estimation of Pose and Face Landmark", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8ba/5cddae817c30de79a804eaf16024610c1e4f.pdf"], "doi": []}, {"id": "440b94b1624ca516b07e72ea8b3488072adc5e26", "title": "Comparison of Early and Late Information Fusion for Multi-camera HOV Lane Enforcement", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313245", "http://doi.org/10.1109/ITSC.2015.153"]}, {"id": "13afc4f8d08f766479577db2083f9632544c7ea6", "title": "Multiple kernel learning for emotion recognition in the wild", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531741"]}, {"id": "1be18a701d5af2d8088db3e6aaa5b9b1d54b6fd3", "title": "ENHANCEMENT OF FAST FACE DETECTION ALGORITHM BASED ON A CASCADE OF DECISION TREES", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1be1/8a701d5af2d8088db3e6aaa5b9b1d54b6fd3.pdf"], "doi": []}, {"id": "6bcfcc4a0af2bf2729b5bc38f500cfaab2e653f0", "title": "Facial Expression Recognition in the Wild Using Improved Dense Trajectories and Fisher Vector Encoding", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Afshar_Facial_Expression_Recognition_CVPR_2016_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/afshar06cvprw.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789679", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.189", "http://doi.org/10.1109/CVPRW.2016.189"]}, {"id": "9b1c218a55ead45296bfd7ad315aaeff1ae9983e", "title": "Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274747", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2481396", "http://doi.org/10.1109/TPAMI.2015.2481396", "https://www.ncbi.nlm.nih.gov/pubmed/26415152"]}, {"id": "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "title": "Features and methods for improving large scale face recognition", "year": "2015", "pdf": [], "doi": ["https://ora.ox.ac.uk/objects/uuid:7704244a-b327-4e5c-a58e-7bfe769ed988"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "1a849b694f2d68c3536ed849ed78c82e979d64d5", "title": "This is a repository copy of Symmetric Shape Morphing for 3 D Face and Head Modelling", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/318c/a222a7a4dfc63807c6b6c4285cc63c8610ba.pdf"], "doi": []}, {"id": "a8a30a8c50d9c4bb8e6d2dd84bc5b8b7f2c84dd8", "title": "This is a repository copy of Modelling of Orthogonal Craniofacial Profiles", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3bf2/79c782cee5b43a766d248810d602b24033c9.pdf"], "doi": []}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830587"]}, {"id": "230c4a30f439700355b268e5f57d15851bcbf41f", "title": "EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01509.pdf"], "doi": []}, {"id": "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "title": "Improved Strategies for HPE Employing Learning-by-Synthesis Approaches", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Larumbe_Improved_Strategies_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.182", "http://doi.org/10.1109/ICCVW.2017.182"]}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "6cfc337069868568148f65732c52cbcef963f79d", "title": "Audio-Visual Speaker Localization via Weighted Clustering Israel -", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/80d7/8415aee24e65ea3031c31adc1dabc1956f8a.pdf"], "doi": []}, {"id": "de398bd8b7b57a3362c0c677ba8bf9f1d8ade583", "title": "Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition", "year": "2017", "pdf": ["http://www.cs.wayne.edu/~mdong/TMM16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744538", "http://doi.org/10.1109/TMM.2016.2629282"]}, {"id": "0a6a818b634cca4eb75a37bfd23b5c5c21331b12", "title": "Face Alignment Refinement", "year": "2015", "pdf": ["http://hal.cse.msu.edu/pdfs/papers/wacv-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045883", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.29", "http://doi.org/10.1109/WACV.2015.29"]}, {"id": "4c842fbd4c032dd4d931eb6ff1eaa2a13450b7af", "title": "A review of recent advances in visual speech decoding", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2014.06.004"]}, {"id": "1b0a071450c419138432c033f722027ec88846ea", "title": "Looking at faces in a vehicle: A deep CNN based approach and evaluation", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediITSC2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795622", "http://doi.org/10.1109/ITSC.2016.7795622"]}, {"id": "795ea140df2c3d29753f40ccc4952ef24f46576c", "title": "C V ] 2 8 O ct 2 01 7 MultiTask Learning by Deep Collaboration and Application in Facial Landmark Detection", "year": "2017", "pdf": [], "doi": []}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"], "doi": []}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "year": "2017", "pdf": [], "doi": []}, {"id": "cd2bf0e1d19babe51eaa94cbc24b223e9c048ad6", "title": "\u2018Who Likes What and, Why?\u2019 Insights into Modeling Users\u2019 Personality Based on Image \u2018Likes\u2019", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7491295", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2016.2581168", "http://doi.org/10.1109/TAFFC.2016.2581168"]}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "383e64d9ef1fca9de677ac82486b4df42e96e861", "title": "Social Network Construction of the Role Relation in Unstructured Data Based on Multi-view", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8005505", "http://doi.ieeecomputersociety.org/10.1109/DSC.2017.78", "http://doi.org/10.1109/DSC.2017.78"]}, {"id": "de162d4b8450bf2b80f672478f987f304b7e6ae4", "title": "Weakly Supervised Manifold Learning for Dense Semantic Object Correspondence", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Gaur_Weakly_Supervised_Manifold_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237454", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.192", "http://doi.org/10.1109/ICCV.2017.192"]}, {"id": "d42dbc995318e2936714c65c028700bfd3633049", "title": "Face fiducial detection by consensus of exemplars", "year": "2016", "pdf": ["https://bitbucket.org/mallikarjun26/wacv_2016_face_fiducial/raw/9ed5a356db1fceda6c542bd7d8fd94f0c4f7d120/211.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477592", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477592", "http://doi.org/10.1109/WACV.2016.7477592"]}, {"id": "113b06e70b7eead8ae7450bafe9c91656705024c", "title": "Face Alignment across Large Pose via MT-CNN Based 3D Shape Reconstruction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373832", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00039", "http://doi.org/10.1109/FG.2018.00039"]}, {"id": "40b0fced8bc45f548ca7f79922e62478d2043220", "title": "Do Convnets Learn Correspondence?", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.1091.pdf"], "doi": []}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "7e1d2befac6946112cd80652d0c2b962e3c0d342", "title": "FA-RPN: Floating Region Proposals for Face Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05586.pdf"], "doi": []}, {"id": "239df42479c69cf95e7194cc0ec3d8cf7d4a98e8", "title": "Face Detection and Extraction from Low Resolution Surveillance Video Using Motion Segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/239d/f42479c69cf95e7194cc0ec3d8cf7d4a98e8.pdf"], "doi": []}, {"id": "a5ae44070857aa00e54ea80394a04fda412b335c", "title": "Scene Text Recognition using part-based TSM and Soft Output Viterbi Algorithm", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7193134"]}, {"id": "e585dc6c810264d9f07e38c412379734a920714e", "title": "Facing reality: an industrial view on large scale use of facial expression analysis", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531926"]}, {"id": "350108a9dbb746dc6f127d98342c07d8019e3f46", "title": "Multi-view facial landmark detection by using a 3D shape model", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.003"]}, {"id": "f6511d8156058737ec5354c66ef6fdcf035d714d", "title": "Response Surface Learning for Face Misalignment Correction", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7016133"]}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "22137ce9c01a8fdebf92ef35407a5a5d18730dde", "title": "Recognition of Faces from single and Multi-View Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2213/7ce9c01a8fdebf92ef35407a5a5d18730dde.pdf"], "doi": []}, {"id": "50a0930cb8cc353e15a5cb4d2f41b365675b5ebf", "title": "Robust Facial Landmark Detection and Face Tracking in Thermal Infrared Images using Active Appearance Models", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/50a0/930cb8cc353e15a5cb4d2f41b365675b5ebf.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "104863192ffb35e285f7546d1ac842e001ac9084", "title": "Cloud-based scalable object detection and classification in video streams", "year": "2018", "pdf": ["http://orca-mwe.cf.ac.uk/98251/1/elsarticle-template-harv.pdf"], "doi": ["http://doi.org/10.1016/j.future.2017.02.003"]}, {"id": "4068574b8678a117d9a434360e9c12fe6232dae0", "title": "Automatic Construction of Deformable Models In-the-Wild", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Antonakos_Automatic_Construction_of_2014_CVPR_paper.pdf", "http://www.visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2031.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909630", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.234", "http://doi.org/10.1109/CVPR.2014.234"]}, {"id": "7c1e1c767f7911a390d49bed4f73952df8445936", "title": "Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA)", "year": "2013", "pdf": ["http://cmp.felk.cvut.cz/~hurycd1/data/publications/zimmermann-TPAMI2014.pdf", "http://cmp.felk.cvut.cz/~zimmerk/zimmermann-TPAMI-2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778003", "http://doi.org/10.1109/TPAMI.2013.171", "https://www.ncbi.nlm.nih.gov/pubmed/24018637", "https://www.wikidata.org/entity/Q40558576"]}, {"id": "7f703613149b190ea3bb0e3c803844895419846b", "title": "Locating Facial Landmarks towards Plastic Surgery", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7314567", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2015.40", "http://doi.org/10.1109/SIBGRAPI.2015.40"]}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "d8904955fa93ad434f5156235ac94452eec57f64", "title": "Facial expression recognition in the wild based on multimodal texture features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/48ec/4b2c3b6c6549fa7a988f8db135a41691f605.pdf"], "doi": []}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "c61686b6fead7cd04f71ca29caba25b387498965", "title": "Computer Science and Management Studies Research Article / Paper / Case Study Available online at: www.ijarcsms.com A Survey on Face Recognition Eigen face and PCA method", "year": "2014", "pdf": [], "doi": []}, {"id": "fe48f0e43dbdeeaf4a03b3837e27f6705783e576", "title": "Supervised Transformer Network for Efficient Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05477.pdf"], "doi": []}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "1ddea58d04e29069b583ac95bc0ae9bebb0bed07", "title": "An Efficient Model for Simultaneous Face Detection, Pose Estimation and Landmark Localisation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371751", "http://doi.org/10.1109/KSE.2015.50"]}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "3dd4d719b2185f7c7f92cc97f3b5a65990fcd5dd", "title": "Ensemble of Hankel Matrices for Face Emotion Recognition", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03811.pdf"], "doi": []}, {"id": "b0c512fcfb7bd6c500429cbda963e28850f2e948", "title": "A Fast and Accurate Unconstrained Face Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1408.1656.pdf"], "doi": []}, {"id": "4e7f0dfc390f88623c825fe702da45b994342011", "title": "Photorealistic Face De-Identification by Aggregating Donors' Face Components", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9da1/91858f65fd99c9b204a6f68916711d4bd51b.pdf"], "doi": []}, {"id": "fb0774049f2f34be194592822c74e2f2e603dea8", "title": "Landmark localization approach for facial computing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7920664"]}, {"id": "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "title": "2 New Statement for Structured Output Regression Problems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/891b/10c4b3b92ca30c9b93170ec9abd71f6099c4.pdf"], "doi": []}, {"id": "9285f4a6a06e975bde3ae3267fccd971d4fff98a", "title": "Attentional Push: A Deep Convolutional Network for Augmenting Image Salience with Shared Attention Modeling in Social Scenes", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Gorji_Attentional_Push_A_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099853", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.370", "http://doi.org/10.1109/CVPR.2017.370"]}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "524c25217a6f1ed17f47871e947a5581d775fa56", "title": "Fusing global and local features for face verification", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2030875"]}, {"id": "744c22e95eaceabb031589ba808bf2e9f24b04c7", "title": "From Sequence to Attention ; Search for a Compositional Bias in Sequence-to-Sequence Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f4cf/ad394b9d9441ed6f93be30e14f197df0e198.pdf"], "doi": []}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "8d712cef3a5a8a7b1619fb841a191bebc2a17f15", "title": "Non-Verbal Communication Analysis in Victim-Offender Mediations", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.2122.pdf"], "doi": []}, {"id": "dfb8a04a80d4b0794c0679d797cb90ec101e162c", "title": "Maximizing face recognition performance for video data under time constraints by using a cascade", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918665", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918665", "http://doi.org/10.1109/AVSS.2014.6918665"]}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "7a81967598c2c0b3b3771c1af943efb1defd4482", "title": "Do We Need More Training Data?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01508.pdf"], "doi": []}, {"id": "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "title": "Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dc2e/805d0038f9d1b3d1bc79192f1d90f6091ecb.pdf"], "doi": []}, {"id": "aa331fe378056b6d6031bb8fe6676e035ed60d6d", "title": "Object detection using boosted local binaries", "year": "2016", "pdf": ["http://www.cs.sfu.ca/~li/papers-on-line/Haoyu-PR-2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.07.010"]}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}, {"id": "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "title": "Input/Output Deep Architecture for Structured Output Problems", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07550"]}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "b8f3f6d8f188f65ca8ea2725b248397c7d1e662d", "title": "Selfie Detection by Synergy-Constraint Based Convolutional Neural Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.04357.pdf"], "doi": []}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "5445e5fe5e42698413cfaf90f8c52009f19539ff", "title": "A 3D Morphable Model of Craniofacial Shape and Texture Variation", "year": "2017", "pdf": ["http://eprints.whiterose.ac.uk/135062/1/ICCV2017LYHM.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Dai_A_3D_Morphable_ICCV_2017_paper.pdf", "http://www-users.cs.york.ac.uk/~nep/research/papers/Dai-ICCV2017-3DMMhead.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237597", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.335", "http://doi.org/10.1109/ICCV.2017.335"]}, {"id": "2ff9618ea521df3c916abc88e7c85220d9f0ff06", "title": "Facial Tic Detection Using Computer Vision", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bb08/f64565ee68e868dcab904cada9646dd5f676.pdf"], "doi": []}, {"id": "b1a3b19700b8738b4510eecf78a35ff38406df22", "title": "Automatic Analysis of Facial Actions : A Survey", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b1a3/b19700b8738b4510eecf78a35ff38406df22.pdf"], "doi": []}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "22ccd537857aca1ee4b961f081f07c58d42a7f32", "title": "Face Recognition Despite Wearing Glasses", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371260", "http://doi.org/10.1109/DICTA.2015.7371260"]}, {"id": "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "title": "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03887.pdf"], "doi": []}, {"id": "90b11e095c807a23f517d94523a4da6ae6b12c76", "title": "Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.08475.pdf"], "doi": []}, {"id": "87bb183d8be0c2b4cfceb9ee158fee4bbf3e19fd", "title": "Craniofacial Image Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/87bb/183d8be0c2b4cfceb9ee158fee4bbf3e19fd.pdf"], "doi": []}, {"id": "1dc6c0ad19b41e5190fc9fe50e3ae27f49f18fa2", "title": "Head Pose Estimation in First-Person Camera Views", "year": "2014", "pdf": ["http://imagelab.ing.unimore.it/imagelab/pubblicazioni/ICPR_2014_head_pose.pdf", "http://www.researchgate.net/profile/Stefano_Alletto/publication/265611795_Head_Pose_Estimation_in_First-Person_Camera_Views/links/5416b5ef0cf2788c4b35e14b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977430", "http://doi.org/10.1109/ICPR.2014.718"]}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "e81b7576356c8b579e3dfa32d1edf7bfdf9c27ea", "title": "Head Pose Estimation with Improved Random Regression Forests", "year": "2013", "pdf": ["http://downloads.hindawi.com/journals/mpe/2015/703514.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-02961-0_57"]}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "4c1ce6bced30f5114f135cacf1a37b69bb709ea1", "title": "Gaze direction estimation by component separation for recognition of Eye Accessing Cues", "year": "2014", "pdf": ["http://imag.pub.ro/common/staff/cflorea/papers/nlp_eye_MVA_site.pdf"], "doi": ["http://doi.org/10.1007/s00138-014-0656-8"]}, {"id": "fd126e36337999640a0b623611b5fec8de390d46", "title": "Human Identification Using Automatic and Semi-Automatically Detected Facial Marks.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27405018", "http://doi.org/10.1111/1556-4029.12923"]}, {"id": "12055b8f82d5411f9ad196b60698d76fbd07ac1e", "title": "Multiview Facial Landmark Localization in RGB-D Images via Hierarchical Regression With Binary Patterns", "year": "2014", "pdf": ["https://zhzhanp.github.io/papers/TCSVT2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6748892", "http://doi.org/10.1109/TCSVT.2014.2308639"]}, {"id": "9abab00de61dd722b3ad1b8fa9bffd0001763f8b", "title": "Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080924", "http://doi.org/10.1109/TPAMI.2015.2420563", "https://www.ncbi.nlm.nih.gov/pubmed/26670586", "https://www.wikidata.org/entity/Q38398435"]}, {"id": "5dff253fab3740871784a8afc9613d7189a70ec9", "title": "Video Magnification to Detect Heart Rate for Drivers", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5dff/253fab3740871784a8afc9613d7189a70ec9.pdf"], "doi": []}, {"id": "642417f2bb1ff98989e0a0aa855253fed1fffe04", "title": "Auto zoom crop from face detection and facial features", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2004255"]}, {"id": "b171f9e4245b52ff96790cf4f8d23e822c260780", "title": "Robotics Institute Summer Scholars Working Papers Journal Volume 2 Fall 2014", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c86/efd96c9ea295fa6c0311b59a8dba76237f32.pdf"], "doi": []}, {"id": "ba017a8d16e47e57a1f3eb5a94c1ba24e6952274", "title": "An Optokinetic Nystagmus Detection Method for Use With Young Children", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7055238", "http://doi.org/10.1109/JTEHM.2015.2410286", "https://www.ncbi.nlm.nih.gov/pubmed/27170889"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "d511e903a882658c9f6f930d6dd183007f508eda", "title": "Privileged information-based conditional regression forest for facial feature detection", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553766.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553766", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553766", "http://doi.org/10.1109/FG.2013.6553766"]}, {"id": "c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee", "title": "Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05612.pdf"], "doi": []}, {"id": "6f7d06ced04ead3b9a5da86b37e7c27bfcedbbdd", "title": "Multi-Scale Fully Convolutional Network for Fast Face Detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f7d/06ced04ead3b9a5da86b37e7c27bfcedbbdd.pdf"], "doi": []}, {"id": "33688a865aa0d0fd19cb488bb5258b1203fd42d3", "title": "Human Face Pose Estimation based on Feature Extraction Points", "year": "2016", "pdf": ["http://www.ijcaonline.org/archives/volume142/number9/bhullar-2016-ijca-909922.pdf", "https://www.ijcaonline.org/archives/volume142/number9/24928-24928-2016909922?format=pdf"], "doi": ["https://doi.org/10.5120/ijca2016909922"]}, {"id": "b8a829b30381106b806066d40dd372045d49178d", "title": "A Probabilistic Framework for Joint Pedestrian Head and Body Orientation Estimation", "year": "2015", "pdf": ["http://gavrila.net/tits15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7010032", "http://doi.org/10.1109/TITS.2014.2379441"]}, {"id": "f531ce18befc03489f647560ad3e5639566b39dc", "title": "Boosting Speed and Accuracy in Deformable Part Models for Face Image in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7422386", "http://doi.ieeecomputersociety.org/10.1109/ACOMP.2015.9", "http://doi.org/10.1109/ACOMP.2015.9"]}, {"id": "437642cfc8c34e445ea653929e2d183aaaeeb704", "title": "Component Biologically Inspired Features with Moving Segmentation for Age Estimation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Hsu_Component_Biologically_Inspired_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/Component_Biologically_Inspired_Features_with_Moving_Segmentation_for_Age_Estimation_rev.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014815", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.81", "http://doi.org/10.1109/CVPRW.2017.81"]}, {"id": "d904f945c1506e7b51b19c99c632ef13f340ef4c", "title": "0 \u00b0 15 \u00b0 30 \u00b0 45 \u00b0 60 \u00b0 75 \u00b0 90 \u00b0", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d904/f945c1506e7b51b19c99c632ef13f340ef4c.pdf"], "doi": []}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "652ec3947d3d04dda719b1f5ba7c975e567166ef", "title": "Machine Vision and Applications Model-free Non-rigid Head Pose Tracking by Joint Shape and Pose Estimation", "year": "", "pdf": [], "doi": []}, {"id": "653b957d4c70d6cbf8de443df497e47edcab77b4", "title": "OuluVS2: A multi-view audiovisual database for non-rigid mouth motion analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163155", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163155", "http://doi.org/10.1109/FG.2015.7163155"]}, {"id": "bb070c019c0885232f114c7dca970d2afd9cd828", "title": "A Novel Landmark Detector System for Multi Resolution Frontal Faces", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008089", "http://doi.org/10.1109/DICTA.2014.7008089"]}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "8aed6ec62cfccb4dba0c19ee000e6334ec585d70", "title": "Localizing and Visualizing Relative Attributes", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8aed/6ec62cfccb4dba0c19ee000e6334ec585d70.pdf"], "doi": []}, {"id": "c82028f8fc6762e4f02a0001cf9d85e316274598", "title": "Seeing Small Faces from Robust Anchor's Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578636"]}, {"id": "912a6a97af390d009773452814a401e258b77640", "title": "An On-line Variational Bayesian Model for Multi-Person Tracking from Cluttered Scenes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01520.pdf"], "doi": []}, {"id": "1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f", "title": "Implementation of Partial Face Recognition using Directional Binary Code", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a6c/3c37c2e62b21ebc0f3533686dde4d0103b3f.pdf"], "doi": []}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "020d97ca2bf617b7ffed5a31aa8a27ffa5efadbb", "title": "An Efficient and Flexible FPGA Implementation of a Face Detection System", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/020d/97ca2bf617b7ffed5a31aa8a27ffa5efadbb.pdf"], "doi": []}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "3a591a9b5c6d4c62963d7374d58c1ae79e3a4039", "title": "Driver Cell Phone Usage Detection from HOV/HOT NIR Images", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W04/papers/Artan_Driver_Cell_Phone_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.42", "http://doi.org/10.1109/CVPRW.2014.42"]}, {"id": "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "title": "Detecting Faces Using Inside Cascaded Contextual CNN", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhang_Detecting_Faces_Using_ICCV_2017_paper.pdf", "https://ai.tencent.com/ailab/media/publications/Detecting_Faces_Using_Inside_Cascaded_Contextual_CNN.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237606", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.344", "http://doi.org/10.1109/ICCV.2017.344"]}, {"id": "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "title": "PyramidBox: A Context-assisted Single Shot Face Detector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07737.pdf"], "doi": []}, {"id": "fa59e9f47e2a467afc81fe1ed737563a3eabf223", "title": "Face recognition across pose for PTZ camera video surveillance applications", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593006"]}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "17a85799c59c13f07d4b4d7cf9d7c7986475d01c", "title": "Extending Procrustes Analysis: Building Multi-view 2-D Models from 3-D Human Shape Samples", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/17a8/5799c59c13f07d4b4d7cf9d7c7986475d01c.pdf"], "doi": []}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "8a46f8edd522fb5fc7002b2b356ac9ae3d551f10", "title": "Network and System Security", "year": "2018", "pdf": ["https://www.cs.odu.edu/~malmalag/CS472Spring2013/CS472-S13-lec01.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-02744-5"]}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "8cb6daba2cb1e208e809633133adfee0183b8dd2", "title": "Know Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8cb6/daba2cb1e208e809633133adfee0183b8dd2.pdf"], "doi": []}, {"id": "b73e1f50f2d6f2438c545da6703621cdcc5b3199", "title": "Hyperspectral Data Acquisition and Its Application for Face Recognition", "year": "2015", "pdf": [], "doi": []}, {"id": "64d9c5ab4cab193046ac839b74d182a472fe45ba", "title": "NosePose : a competitive , landmark-free methodology for head pose estimation in the wild", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/64d9/c5ab4cab193046ac839b74d182a472fe45ba.pdf"], "doi": []}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"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": "213a579af9e4f57f071b884aa872651372b661fd", "title": "Automatic and Efficient Human Pose Estimation for Sign Language Videos", "year": "2013", "pdf": ["http://tomas.pfister.fi/files/charles13ijcv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2013/Charles13a/charles13a.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0672-6"]}, {"id": "1dca6a54d201dd56b41a5475aaf498a207083b0e", "title": "Ego-surfing first person videos", "year": "2015", "pdf": ["https://arxiv.org/pdf/1606.04637.pdf"], "doi": []}, {"id": "365f67fe670bf55dc9ccdcd6888115264b2a2c56", "title": "Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.08212.pdf"], "doi": []}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "05f3744c2d272910fad0adc3a5fd9e919e005150", "title": "Head pose recovery and shape estimation in still images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bac7/5e1997d248dbd1b12e8b37bb663232687d4a.pdf"], "doi": []}, {"id": "f1173a4c5e3501323b37c1ae9a6d7dd8a236eab8", "title": "Convolutional Channel Features For Pedestrian, Face and Edge Detection", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07339"]}, {"id": "f5770dd225501ff3764f9023f19a76fad28127d4", "title": "Real Time Online Facial Expression Transfer with Single Video Camera", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f577/0dd225501ff3764f9023f19a76fad28127d4.pdf"], "doi": []}, {"id": "e9d43231a403b4409633594fa6ccc518f035a135", "title": "Deformable Part Models with CNN Features", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e9d4/3231a403b4409633594fa6ccc518f035a135.pdf"], "doi": []}, {"id": "ce5e50467e43e3178cbd86cfc3348e3f577c4489", "title": "Extending a local matching face recognition approach to low-resolution video", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/avss/2013/9999/00/06636683.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636683", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2013.6636683", "http://doi.org/10.1109/AVSS.2013.6636683"]}, {"id": "2ae139b247057c02cda352f6661f46f7feb38e45", "title": "Combining modality specific deep neural networks for emotion recognition in video", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531745"]}, {"id": "31d51e48dbd9e7253eafe0719f3788adb564a971", "title": "Visual Phrases for Exemplar Face Detection", "year": "2015", "pdf": ["http://cvit.iiit.ac.in/projects/exemplar/vijayICCV15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410588", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.231", "http://doi.org/10.1109/ICCV.2015.231"]}, {"id": "33ae696546eed070717192d393f75a1583cd8e2c", "title": "Subspace selection to suppress confounding source domain information in AAM transfer learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08508.pdf"], "doi": []}, {"id": "01bef320b83ac4405b3fc5b1cff788c124109fb9", "title": "Translating Head Motion into Attention - Towards Processing of Student's Body-Language.", "year": "2015", "pdf": ["http://www.educationaldatamining.org/EDM2015/proceedings/full320-326.pdf", "https://infoscience.epfl.ch/record/207803/files/edm_raca15.pdf"], "doi": []}, {"id": "8be60114634caa0eff8566f3252cb9a1b7d5ef10", "title": "Multiple target tracking with structural inference", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890133", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890133", "http://doi.org/10.1109/ICME.2014.6890133"]}, {"id": "0629bc2b12245195af989e21573369329b7ef2b7", "title": "BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and Mental States", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7451244", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2016.2553038", "http://doi.org/10.1109/TAFFC.2016.2553038"]}, {"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": "290eeaed75693eda17ac6703f0a8364f14c24701", "title": "Learning to Deblur Images with Exemplars", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05503.pdf"], "doi": []}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/casia_webface.json b/site/datasets/unknown/casia_webface.json index f4fb9c04..e7d31fe2 100644 --- a/site/datasets/unknown/casia_webface.json +++ b/site/datasets/unknown/casia_webface.json @@ -1 +1 @@ -{"id": "853bd61bc48a431b9b1c7cab10c603830c488e39", "citations": [{"id": "f49b4ab188dd090367d9f6762473879b2bba16cf", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578512"]}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "2c052a1c77a3ec2604b3deb702d77c41418c7d3e", "title": "What Is the Challenge for Deep Learning in Unconstrained Face Recognition?", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373863", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00070", "http://doi.org/10.1109/FG.2018.00070"]}, {"id": "2b251294bea1e49f9a646a67e6c57c9d3e1af483", "title": "Learning to generate filters for convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01894.pdf"], "doi": []}, {"id": "f20e0eefd007bc310d2a753ba526d33a8aba812c", "title": "Accurate and robust face recognition from RGB-D images with a deep learning approach", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/116e/c3a1a8225362a3e3e445df45036fae7cadc6.pdf"], "doi": []}, {"id": "2e0d56794379c436b2d1be63e71a215dd67eb2ca", "title": "Improving precision and recall of face recognition in SIPP with combination of modified mean search and LSH", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03872.pdf"], "doi": []}, {"id": "8cd9475a3a1b2bcccf2034ce8f4fe691c57a4889", "title": "Noisy Face Image Sets Refining Collaborated with Discriminant Feature Space Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961789", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.138", "http://doi.org/10.1109/FG.2017.138"]}, {"id": "f294278e03868257bfce132b8cf189359ada915a", "title": "Boosting Face in Video Recognition via CNN Based Key Frame Extraction", "year": "2018", "pdf": ["https://www.clarkson.edu/sites/default/files/2018-03/Boosting%20Face%20in%20Video%20Recognition%20via%20CNN%20based%20Key%20Frame%20Extraction.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411214", "http://doi.org/10.1109/ICB2018.2018.00030"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903705", "http://doi.org/10.1109/TPAMI.2017.2695183", "https://www.ncbi.nlm.nih.gov/pubmed/28436844", "https://www.wikidata.org/entity/Q47874946"]}, {"id": "128d99fbe91b0ee593d70f3e78fe582aaa9f8ded", "title": "Residual Encoder Decoder Network and Adaptive Prior for Face Parsing", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16468", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16468/16271"]}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "10e4172dd4f4a633f10762fc5d4755e61d52dc36", "title": "Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Liu_Learning_Multifunctional_Binary_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Liu_Learning_Multifunctional_Binary_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Learning%20Multifunctional%20Binary%20Codes%20for%20Both%20Category%20and%20Attribute%20Oriented%20Retrieval%20Tasks_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100146", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.663", "http://doi.org/10.1109/CVPR.2017.663"]}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "014b4335d055679bc680a6ceb6f1a264d8ce8a4a", "title": "Are You Sure You Want To Do That? Classification with Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02652.pdf"], "doi": []}, {"id": "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b80/5f8cbcffe7f5e2cc7af86b5649330b15298d.pdf"], "doi": []}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "b6259115b819424de53bb92f64cc459dcb649f31", "title": "Learning Feature Representation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078466", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078466", "http://doi.org/10.1109/AVSS.2017.8078466"]}, {"id": "42cc9ea3da1277b1f19dff3d8007c6cbc0bb9830", "title": "Coordinated Local Metric Learning", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Saxena_Coordinated_Local_Metric_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406405", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.56", "http://doi.org/10.1109/ICCVW.2015.56"]}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "02c7740af5540f23a2da23d1769e64a8042ec62e", "title": "Big Data", "year": "2018", "pdf": ["https://ai.arizona.edu/sites/ai/files/MIS510/big_data_-_the_management_revolution_0.pdf", "https://www.bsc.es/ca/printpdf/research-and-development/research-areas/big-data"], "doi": ["http://doi.org/10.1007/978-981-13-2922-7"]}, {"id": "1ef4aac0ebc34e76123f848c256840d89ff728d0", "title": "Rapid Synthesis of Massive Face Sets for Improved Face Recognition", "year": "2017", "pdf": ["http://www.openu.ac.il/home/hassner/projects/augmented_faces/Masietal2017rapid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961797", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.76", "http://doi.org/10.1109/FG.2017.76"]}, {"id": "8699268ee81a7472a0807c1d3b1db0d0ab05f40d", "title": "Channel-Recurrent Autoencoding for Image Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03729.pdf"], "doi": []}, {"id": "4b2b2b496262cc85172c1fa70bfea9dcd2ecf019", "title": "Deep learning and face recognition: the state of the art", "year": "2015", "pdf": ["https://arxiv.org/pdf/1902.03524.pdf"], "doi": []}, {"id": "6278b2586a1240e3184d8d9c26e6efb50e55bc30", "title": "A Compact Deep Learning Model for Robust Facial Expression Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Kuo_A_Compact_Deep_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575457", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00286", "http://doi.org/10.1109/CVPRW.2018.00286"]}, {"id": "ae5e92abd5929ee7f0a5aa1622aa094bac4fae29", "title": "RGB-D Face Recognition via Deep Complementary and Common Feature Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373805", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00012", "http://doi.org/10.1109/FG.2018.00012"]}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "9e297343da13cf9ba0ad8b5b75c07723136f4885", "title": "Regularizing Face Net for Discrete-valued Pain Regression", "year": "2017", "pdf": [], "doi": []}, {"id": "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "title": "Frankenstein: Learning Deep Face Representations Using Small Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06470.pdf"], "doi": []}, {"id": "1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "title": "Face Search at Scale", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/WangOttoJain_FaceSearchAtScale_TPAMI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494641", "http://doi.org/10.1109/TPAMI.2016.2582166", "https://www.ncbi.nlm.nih.gov/pubmed/27333599", "https://www.wikidata.org/entity/Q36059157"]}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "1280b35e4a20036fcfd82ee09f45a3fca190276f", "title": "Face Verification Based on Feature Transfer via PCA-SVM Framework", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276888", "http://doi.ieeecomputersociety.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166", "http://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166"]}, {"id": "a3ab2a7d596626a25f680b7dc9710ea2d34a8cbb", "title": "Machine Learning in Radiology: Applications Beyond Image Interpretation.", "year": "2018", "pdf": ["https://cerf.radiologie.fr/sites/cerf.radiologie.fr/files/Enseignement/pdf/Machine%20Learning%20in%20Radiology%20Applications%20Beyond%20Image%20Interpretation_Lakhani_JACR%202017.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29158061", "http://doi.org/10.1016/j.jacr.2017.09.044"]}, {"id": "a8117a4733cce9148c35fb6888962f665ae65b1e", "title": "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00438.pdf"], "doi": []}, {"id": "b5ca8d4f259f35c1f3edfd9f108ce29881e478b0", "title": "Disentangled Representation Learning GAN for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Tran_Yin_Liu_CVPR2017.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Tran_Disentangled_Representation_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.141", "http://doi.org/10.1109/CVPR.2017.141"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.06149.pdf"], "doi": []}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d", "title": "High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Xu_High_Performance_Large_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265434", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.224", "http://doi.org/10.1109/ICCVW.2017.224"]}, {"id": "ddf099f0e0631da4a6396a17829160301796151c", "title": "Chen et al . Face Quality Value : Input : Feat -\u2010 5 Features : L 2 R + PKM Model : Feat -\u2010", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ddf0/99f0e0631da4a6396a17829160301796151c.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "2b2896f41480399e7182acfa9466a3f915885387", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "cc47368fe303c6cbda38caf5ac0e1d1c9d7e2a52", "title": "University Classroom Attendance Based on Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089918"]}, {"id": "d0eb3fd1b1750242f3bb39ce9ac27fc8cc7c5af0", "title": "Minimalistic CNN-based ensemble model for gender prediction from face images", "year": "2016", "pdf": ["http://www.eurecom.fr/en/publication/4768/download/mm-publi-4768.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.011"]}, {"id": "050a149051a5d268fcc5539e8b654c2240070c82", "title": "Magisterske\u0301 a doktorske\u0301 studijn\u0131\u0301 programy", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/050a/149051a5d268fcc5539e8b654c2240070c82.pdf"], "doi": []}, {"id": "f3850d8ec9779e8e15da9831ba23d4cdca1dd4ee", "title": "Machine learning assisted optimization of electrochemical properties for Ni-rich cathode materials", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1038/s41598-018-34201-4", "https://www.ncbi.nlm.nih.gov/pubmed/30361533"]}, {"id": "6962505b78d0cec04b992a059cc58870c361c971", "title": "Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.00218.pdf"], "doi": []}, {"id": "fa641327dc5873276f0af453a2caa1634c16f143", "title": "ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition", "year": "2016", "pdf": ["http://sergioescalera.com/wp-content/uploads/2016/05/gesture_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Wan_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789590", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.100", "http://doi.org/10.1109/CVPRW.2016.100"]}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "01e14d8ffd6767336d50c2b817a7b7744903e567", "title": "Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961839", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.128", "http://doi.org/10.1109/FG.2017.128"]}, {"id": "26ebe98753acec806b7281d085110c06d9cd1e16", "title": "Self-Error-Correcting Convolutional Neural Network for Learning with Noisy Labels", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961730", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.22", "http://doi.org/10.1109/FG.2017.22"]}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "339937141ffb547af8e746718fbf2365cc1570c8", "title": "Facial Emotion Recognition in Real Time", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3399/37141ffb547af8e746718fbf2365cc1570c8.pdf"], "doi": []}, {"id": "ec39e9c21d6e2576f21936b1ecc1574dadaf291e", "title": "Pose-Robust Face Verification by Exploiting Competing Tasks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926713", "http://doi.org/10.1109/WACV.2017.130"]}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "98b2f21db344b8b9f7747feaf86f92558595990c", "title": "PACES OF G ENERATIVE A DVERSARIAL N ETWORKS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf"], "doi": []}, {"id": "e7144f5c19848e037bb96e225d1cfd961f82bd9f", "title": "Heterogeneous Face Recognition: Recent Advances in Infrared-to-Visible Matching", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961837", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.126", "http://doi.org/10.1109/FG.2017.126"]}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545308"]}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "91d513af1f667f64c9afc55ea1f45b0be7ba08d4", "title": "Automatic Face Image Quality Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09887.pdf"], "doi": []}, {"id": "e988be047b28ba3b2f1e4cdba3e8c94026139fcf", "title": "Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04710.pdf"], "doi": []}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "4268ae436db79c4eee8bc06e9475caff3ff70d57", "title": "Five Principles for Crowd-Source Experiments in Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961814", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.146", "http://doi.org/10.1109/FG.2017.146"]}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "b12431e61172443c534ea523a4d7407e847b5c5b", "title": "Yu\u0308z Tan\u0131maya Dayal\u0131 Kis\u0327i Bazl\u0131 Test Otomasyonu", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b124/31e61172443c534ea523a4d7407e847b5c5b.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "98c548a4be0d3b62971e75259d7514feab14f884", "title": "Deep generative-contrastive networks for facial expression recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07140.pdf"], "doi": []}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "565f7c767e6b150ebda491e04e6b1de759fda2d4", "title": "Fine-grained face verification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.11.023"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.pdf"], "doi": []}, {"id": "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "title": "Deep Disguised Faces Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Zhang_Deep_Disguised_Faces_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575272", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00012", "http://doi.org/10.1109/CVPRW.2018.00012"]}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830587"]}, {"id": "2025392b7ebe267fbe13cb9fcd022ded8f7d1972", "title": "Multi-task Adversarial Network for Disentangled Feature Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578492"]}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "d94d7ff6f46ad5cab5c20e6ac14c1de333711a0c", "title": "Face Album: Towards automatic photo management based on person identity on mobile phones", "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0003031.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952713", "http://doi.org/10.1109/ICASSP.2017.7952713"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "6c40fc9df6588f7cb721537883167eede1b8d369", "title": "3D Face Reconstruction Based on Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089906"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "20e504782951e0c2979d9aec88c76334f7505393", "title": "Robust LSTM-Autoencoders for Face De-Occlusion in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.08534.pdf"], "doi": []}, {"id": "9ca542d744149f0efc8b8aac8289f5e38e6d200c", "title": "Gender and Smile Classification Using Deep Convolutional Neural Networks", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016_workshops/w18/papers/Zhang_Gender_and_Smile_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789587", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.97", "http://doi.org/10.1109/CVPRW.2016.97"]}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "d89cfed36ce8ffdb2097c2ba2dac3e2b2501100d", "title": "Robust Face Recognition via Multimodal Deep Face Representation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.00244.pdf"], "doi": []}, {"id": "7aa4c16a8e1481629f16167dea313fe9256abb42", "title": "Multi-task learning for face identification and attribute estimation", "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002981.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952703", "http://doi.org/10.1109/ICASSP.2017.7952703"]}, {"id": "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "title": "Representation Learning by Rotating Your Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11136.pdf"], "doi": []}, {"id": "84c5b45328dee855c4855a104ac9c0558cc8a328", "title": "Conformal Mapping of a 3D Face Representation onto a 2D Image for CNN Based Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411213", "http://doi.org/10.1109/ICB2018.2018.00029"]}, {"id": "486a82f50835ea888fbc5c6babf3cf8e8b9807bc", "title": "Face Search at Scale: 80 Million Gallery", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.07242.pdf"], "doi": []}, {"id": "19d53bb35baf6ab02368756412800c218a2df71c", "title": "DeepDeblur: Fast one-step blurry face images restoration.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09515.pdf"], "doi": []}, {"id": "f0b30a9bb9740c2886d96fc44d6f35b8eacab4f3", "title": "Are You Sure You Want To Do That ? Classification with Interpretable Queries", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f0b3/0a9bb9740c2886d96fc44d6f35b8eacab4f3.pdf"], "doi": []}, {"id": "77d31d2ec25df44781d999d6ff980183093fb3de", "title": "The Multiverse Loss for Robust Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.09033.pdf"], "doi": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "204b2b9c33d2c3be77dbd6d82dfefd1dfa95d8a3", "title": "Deep Face Recognition under Eyeglass and Scale Variation Using Extended Siamese Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575869", "http://doi.org/10.1109/ACPR.2017.48"]}, {"id": "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "title": "Metric-based Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123334"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "de0eb358b890d92e8f67592c6e23f0e3b2ba3f66", "title": "Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.01587.pdf"], "doi": []}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014811", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.77", "http://doi.org/10.1109/CVPRW.2017.77"]}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "78a11b7d2d7e1b19d92d2afd51bd3624eca86c3c", "title": "Improved Deep Metric Learning with Multi-class N-pair Loss Objective", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/78a1/1b7d2d7e1b19d92d2afd51bd3624eca86c3c.pdf"], "doi": []}, {"id": "62d1a31b8acd2141d3a994f2d2ec7a3baf0e6dc4", "title": "Noise-resistant network: a deep-learning method for face recognition under noise", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/62d1/a31b8acd2141d3a994f2d2ec7a3baf0e6dc4.pdf"], "doi": []}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "4aa18f3a1c85f7a09d3b0d6b28c0339199892d60", "title": "The Application of Neural Networks for Facial Landmarking on Mobile Devices", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4aa1/8f3a1c85f7a09d3b0d6b28c0339199892d60.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "5209758096819efee15751c8875121bd27f2ee78", "title": "Finding Person Relations in Image Data of the Internet Archive", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08246.pdf"], "doi": []}, {"id": "3fe269cbe3a15aca4663d7086e0622ec5eb93c2d", "title": "Neural Information Processing", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-030-04167-0"]}, {"id": "badde061da20510ca74b94818eb726d27ff2f491", "title": "Improving speech embedding using crossmodal transfer learning with audio-visual data", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6992-3"]}, {"id": "eb3066de677f9f6131aab542d9d426aaf50ed2ce", "title": "Deep Transfer Network with 3D Morphable Models for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373860", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00067", "http://doi.org/10.1109/FG.2018.00067"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "d754586d1bed2074824d650305cb361ef2706f44", "title": "Deep convolutional BiLSTM fusion network for facial expression recognition", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-019-01636-3"]}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.pdf"], "doi": []}, {"id": "f1280f76933ba8b7f4a6b8662580504f02bb4ab6", "title": "Gender Classification by Deep Learning on Millions of Weakly Labelled Images", "year": "2016", "pdf": ["https://research-information.bristol.ac.uk/files/90114160/Sen_Jia_Gender_Classification_by_Deep_Learning_on_Millions_of_Weakly_Labelled_Images.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7836703", "http://doi.org/10.1109/ICDMW.2016.0072"]}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "f2004fff215a17ac132310882610ddafe25ba153", "title": "Facial Expression Recognition via Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8308363", "http://doi.ieeecomputersociety.org/10.1109/AICCSA.2017.124", "http://doi.org/10.1109/AICCSA.2017.124"]}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"id": "b6b24dfaf4c9e498ca9b9ee9f82d8d0c5bdb77e9", "title": "Rethinking Feature Distribution for Loss Functions in Image Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579048"]}, {"id": "a1feab9029e49d1a5d4ad511be30bd40a423a1eb", "title": "Effective multiple person recognition in random video sequences using a convolutional neural network", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-019-7323-z"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "title": "Using deep learning for social analysis in egocentric images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b13a/b3647352c3af2ba656f93b69bb5ae9a69fe5.pdf"], "doi": []}, {"id": "77c7d8012fe4179a814c1241a37a2256361bc1a4", "title": "BGP Face Retrieval Based on Coding Pyramid", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8530228"]}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "011e6146995d5d63c852bd776f782cc6f6e11b7b", "title": "Fast Training of Triplet-Based Deep Binary Embedding Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02844.pdf"], "doi": []}, {"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10462-018-9661-z"]}, {"id": "f442a2f2749f921849e22f37e0480ac04a3c3fec", "title": "Critical Features for Face Recognition in Humans and Machines", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f442/a2f2749f921849e22f37e0480ac04a3c3fec.pdf"], "doi": []}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961796", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.75", "http://doi.org/10.1109/FG.2017.75"]}, {"id": "b6967d6096294bbac242b6f27e1fee51da24eb11", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578645"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "0ad4a814b30e096ad0e027e458981f812c835aa0", "title": "Leveraging mid-level deep representations for predicting face attributes in the wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.01827.pdf"], "doi": []}, {"id": "0ee737085af468f264f57f052ea9b9b1f58d7222", "title": "SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08370.pdf"], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "80097a879fceff2a9a955bf7613b0d3bfa68dc23", "title": "Active Self-Paced Learning for Cost-Effective and Progressive Face Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.03555.pdf"], "doi": []}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "de0ee491d2747a6f3d171f813fe6f5cdb3a27fd6", "title": "FPGA-accelerated deep convolutional neural networks for high throughput and energy efficiency", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1002/cpe.3850"]}, {"id": "09f5033e1e91dae1f7f31cba2b65bbff1d5f8ca3", "title": "Face Recognition Based on Densely Connected Convolutional Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499078", "http://doi.org/10.1109/BigMM.2018.8499078"]}, {"id": "72a55554b816b66a865a1ec1b4a5b17b5d3ba784", "title": "Real-Time Face Identification via CNN and Boosted Hashing Forest", "year": "2016", "pdf": ["http://vislab.ucr.edu/Biometrics16/CVPRW_Vizilter.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Vizilter_Real-Time_Face_Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789515", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.25", "http://doi.org/10.1109/CVPRW.2016.25"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "1f94734847c15fa1da68d4222973950d6b683c9e", "title": "Embedding Label Structures for Fine-Grained Feature Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02895.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "pdf": [], "doi": []}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373908", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00115", "http://doi.org/10.1109/FG.2018.00115"]}, {"id": "81695fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f", "title": "Comparison of Face Recognition Neural Networks", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8169/5fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f.pdf"], "doi": []}, {"id": "5bb87c7462c6c1ec5d60bde169c3a785ba5ea48f", "title": "Targeting Ultimate Accuracy: Face Recognition via Deep Embedding", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07310.pdf"], "doi": []}, {"id": "7d40e7e5c01bd551edf65902386401e1b8b8014b", "title": "Channel-Level Acceleration of Deep Face Representations", "year": "2015", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/RRR_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303876", "http://doi.org/10.1109/ACCESS.2015.2494536"]}, {"id": "7b455cbb320684f78cd8f2443f14ecf5f50426db", "title": "A Fast and Robust Negative Mining Approach for Enrollment in Face Recognition Systems", "year": "2017", "pdf": ["http://repositorio.unicamp.br/jspui/bitstream/REPOSIP/275553/1/Martins_SamuelBotter_M.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097313", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.33", "http://doi.org/10.1109/SIBGRAPI.2017.33"]}, {"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": "93d11da02205bbc5ae68e521e421f70a4b74a7f7", "title": "Emotion recognition and reaction prediction in videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8234476"]}, {"id": "8da32ff9e3759dc236878ac240728b344555e4e9", "title": "Investigating Nuisance Factors in Face Recognition with DCNN Representation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Ferrari_Investigating_Nuisance_Factors_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014820", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.86", "http://doi.org/10.1109/CVPRW.2017.86"]}]}
\ No newline at end of file +{"id": "853bd61bc48a431b9b1c7cab10c603830c488e39", "citations": [{"id": "f49b4ab188dd090367d9f6762473879b2bba16cf", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578512"]}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "2c052a1c77a3ec2604b3deb702d77c41418c7d3e", "title": "What Is the Challenge for Deep Learning in Unconstrained Face Recognition?", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373863", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00070", "http://doi.org/10.1109/FG.2018.00070"]}, {"id": "2b251294bea1e49f9a646a67e6c57c9d3e1af483", "title": "Learning to generate filters for convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01894.pdf"], "doi": []}, {"id": "f20e0eefd007bc310d2a753ba526d33a8aba812c", "title": "Accurate and robust face recognition from RGB-D images with a deep learning approach", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/116e/c3a1a8225362a3e3e445df45036fae7cadc6.pdf"], "doi": []}, {"id": "2e0d56794379c436b2d1be63e71a215dd67eb2ca", "title": "Improving precision and recall of face recognition in SIPP with combination of modified mean search and LSH", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03872.pdf"], "doi": []}, {"id": "8cd9475a3a1b2bcccf2034ce8f4fe691c57a4889", "title": "Noisy Face Image Sets Refining Collaborated with Discriminant Feature Space Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961789", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.138", "http://doi.org/10.1109/FG.2017.138"]}, {"id": "f294278e03868257bfce132b8cf189359ada915a", "title": "Boosting Face in Video Recognition via CNN Based Key Frame Extraction", "year": "2018", "pdf": ["https://www.clarkson.edu/sites/default/files/2018-03/Boosting%20Face%20in%20Video%20Recognition%20via%20CNN%20based%20Key%20Frame%20Extraction.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411214", "http://doi.org/10.1109/ICB2018.2018.00030"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903705", "http://doi.org/10.1109/TPAMI.2017.2695183", "https://www.ncbi.nlm.nih.gov/pubmed/28436844", "https://www.wikidata.org/entity/Q47874946"]}, {"id": "128d99fbe91b0ee593d70f3e78fe582aaa9f8ded", "title": "Residual Encoder Decoder Network and Adaptive Prior for Face Parsing", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16468", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16468/16271"]}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "10e4172dd4f4a633f10762fc5d4755e61d52dc36", "title": "Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Liu_Learning_Multifunctional_Binary_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Liu_Learning_Multifunctional_Binary_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Learning%20Multifunctional%20Binary%20Codes%20for%20Both%20Category%20and%20Attribute%20Oriented%20Retrieval%20Tasks_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100146", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.663", "http://doi.org/10.1109/CVPR.2017.663"]}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "014b4335d055679bc680a6ceb6f1a264d8ce8a4a", "title": "Are You Sure You Want To Do That? Classification with Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02652.pdf"], "doi": []}, {"id": "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b80/5f8cbcffe7f5e2cc7af86b5649330b15298d.pdf"], "doi": []}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "b6259115b819424de53bb92f64cc459dcb649f31", "title": "Learning Feature Representation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078466", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078466", "http://doi.org/10.1109/AVSS.2017.8078466"]}, {"id": "42cc9ea3da1277b1f19dff3d8007c6cbc0bb9830", "title": "Coordinated Local Metric Learning", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Saxena_Coordinated_Local_Metric_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406405", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.56", "http://doi.org/10.1109/ICCVW.2015.56"]}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "02c7740af5540f23a2da23d1769e64a8042ec62e", "title": "Big Data", "year": "2018", "pdf": ["https://ai.arizona.edu/sites/ai/files/MIS510/big_data_-_the_management_revolution_0.pdf", "https://www.bsc.es/ca/printpdf/research-and-development/research-areas/big-data"], "doi": ["http://doi.org/10.1007/978-981-13-2922-7"]}, {"id": "1ef4aac0ebc34e76123f848c256840d89ff728d0", "title": "Rapid Synthesis of Massive Face Sets for Improved Face Recognition", "year": "2017", "pdf": ["http://www.openu.ac.il/home/hassner/projects/augmented_faces/Masietal2017rapid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961797", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.76", "http://doi.org/10.1109/FG.2017.76"]}, {"id": "8699268ee81a7472a0807c1d3b1db0d0ab05f40d", "title": "Channel-Recurrent Autoencoding for Image Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03729.pdf"], "doi": []}, {"id": "4b2b2b496262cc85172c1fa70bfea9dcd2ecf019", "title": "Deep learning and face recognition: the state of the art", "year": "2015", "pdf": ["https://arxiv.org/pdf/1902.03524.pdf"], "doi": []}, {"id": "6278b2586a1240e3184d8d9c26e6efb50e55bc30", "title": "A Compact Deep Learning Model for Robust Facial Expression Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Kuo_A_Compact_Deep_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575457", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00286", "http://doi.org/10.1109/CVPRW.2018.00286"]}, {"id": "ae5e92abd5929ee7f0a5aa1622aa094bac4fae29", "title": "RGB-D Face Recognition via Deep Complementary and Common Feature Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373805", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00012", "http://doi.org/10.1109/FG.2018.00012"]}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "9e297343da13cf9ba0ad8b5b75c07723136f4885", "title": "Regularizing Face Net for Discrete-valued Pain Regression", "year": "2017", "pdf": [], "doi": []}, {"id": "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "title": "Frankenstein: Learning Deep Face Representations Using Small Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06470.pdf"], "doi": []}, {"id": "1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "title": "Face Search at Scale", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/WangOttoJain_FaceSearchAtScale_TPAMI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494641", "http://doi.org/10.1109/TPAMI.2016.2582166", "https://www.ncbi.nlm.nih.gov/pubmed/27333599", "https://www.wikidata.org/entity/Q36059157"]}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "1280b35e4a20036fcfd82ee09f45a3fca190276f", "title": "Face Verification Based on Feature Transfer via PCA-SVM Framework", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276888", "http://doi.ieeecomputersociety.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166", "http://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166"]}, {"id": "a3ab2a7d596626a25f680b7dc9710ea2d34a8cbb", "title": "Machine Learning in Radiology: Applications Beyond Image Interpretation.", "year": "2018", "pdf": ["https://cerf.radiologie.fr/sites/cerf.radiologie.fr/files/Enseignement/pdf/Machine%20Learning%20in%20Radiology%20Applications%20Beyond%20Image%20Interpretation_Lakhani_JACR%202017.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29158061", "http://doi.org/10.1016/j.jacr.2017.09.044"]}, {"id": "a8117a4733cce9148c35fb6888962f665ae65b1e", "title": "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00438.pdf"], "doi": []}, {"id": "b5ca8d4f259f35c1f3edfd9f108ce29881e478b0", "title": "Disentangled Representation Learning GAN for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Tran_Yin_Liu_CVPR2017.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Tran_Disentangled_Representation_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.141", "http://doi.org/10.1109/CVPR.2017.141"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.06149.pdf"], "doi": []}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "ddf099f0e0631da4a6396a17829160301796151c", "title": "Chen et al . Face Quality Value : Input : Feat -\u2010 5 Features : L 2 R + PKM Model : Feat -\u2010", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ddf0/99f0e0631da4a6396a17829160301796151c.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "2b2896f41480399e7182acfa9466a3f915885387", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "cc47368fe303c6cbda38caf5ac0e1d1c9d7e2a52", "title": "University Classroom Attendance Based on Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089918"]}, {"id": "d0eb3fd1b1750242f3bb39ce9ac27fc8cc7c5af0", "title": "Minimalistic CNN-based ensemble model for gender prediction from face images", "year": "2016", "pdf": ["http://www.eurecom.fr/en/publication/4768/download/mm-publi-4768.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.011"]}, {"id": "050a149051a5d268fcc5539e8b654c2240070c82", "title": "Magisterske\u0301 a doktorske\u0301 studijn\u0131\u0301 programy", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/050a/149051a5d268fcc5539e8b654c2240070c82.pdf"], "doi": []}, {"id": "f3850d8ec9779e8e15da9831ba23d4cdca1dd4ee", "title": "Machine learning assisted optimization of electrochemical properties for Ni-rich cathode materials", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1038/s41598-018-34201-4", "https://www.ncbi.nlm.nih.gov/pubmed/30361533"]}, {"id": "6962505b78d0cec04b992a059cc58870c361c971", "title": "Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.00218.pdf"], "doi": []}, {"id": "fa641327dc5873276f0af453a2caa1634c16f143", "title": "ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition", "year": "2016", "pdf": ["http://sergioescalera.com/wp-content/uploads/2016/05/gesture_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Wan_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789590", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.100", "http://doi.org/10.1109/CVPRW.2016.100"]}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "01e14d8ffd6767336d50c2b817a7b7744903e567", "title": "Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961839", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.128", "http://doi.org/10.1109/FG.2017.128"]}, {"id": "26ebe98753acec806b7281d085110c06d9cd1e16", "title": "Self-Error-Correcting Convolutional Neural Network for Learning with Noisy Labels", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961730", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.22", "http://doi.org/10.1109/FG.2017.22"]}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "339937141ffb547af8e746718fbf2365cc1570c8", "title": "Facial Emotion Recognition in Real Time", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3399/37141ffb547af8e746718fbf2365cc1570c8.pdf"], "doi": []}, {"id": "ec39e9c21d6e2576f21936b1ecc1574dadaf291e", "title": "Pose-Robust Face Verification by Exploiting Competing Tasks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926713", "http://doi.org/10.1109/WACV.2017.130"]}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "98b2f21db344b8b9f7747feaf86f92558595990c", "title": "PACES OF G ENERATIVE A DVERSARIAL N ETWORKS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf"], "doi": []}, {"id": "e7144f5c19848e037bb96e225d1cfd961f82bd9f", "title": "Heterogeneous Face Recognition: Recent Advances in Infrared-to-Visible Matching", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961837", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.126", "http://doi.org/10.1109/FG.2017.126"]}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545308"]}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "91d513af1f667f64c9afc55ea1f45b0be7ba08d4", "title": "Automatic Face Image Quality Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09887.pdf"], "doi": []}, {"id": "e988be047b28ba3b2f1e4cdba3e8c94026139fcf", "title": "Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04710.pdf"], "doi": []}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "4268ae436db79c4eee8bc06e9475caff3ff70d57", "title": "Five Principles for Crowd-Source Experiments in Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961814", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.146", "http://doi.org/10.1109/FG.2017.146"]}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "b12431e61172443c534ea523a4d7407e847b5c5b", "title": "Yu\u0308z Tan\u0131maya Dayal\u0131 Kis\u0327i Bazl\u0131 Test Otomasyonu", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b124/31e61172443c534ea523a4d7407e847b5c5b.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "98c548a4be0d3b62971e75259d7514feab14f884", "title": "Deep generative-contrastive networks for facial expression recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07140.pdf"], "doi": []}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "565f7c767e6b150ebda491e04e6b1de759fda2d4", "title": "Fine-grained face verification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.11.023"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.pdf"], "doi": []}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830587"]}, {"id": "2025392b7ebe267fbe13cb9fcd022ded8f7d1972", "title": "Multi-task Adversarial Network for Disentangled Feature Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578492"]}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "d94d7ff6f46ad5cab5c20e6ac14c1de333711a0c", "title": "Face Album: Towards automatic photo management based on person identity on mobile phones", "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0003031.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952713", "http://doi.org/10.1109/ICASSP.2017.7952713"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "6c40fc9df6588f7cb721537883167eede1b8d369", "title": "3D Face Reconstruction Based on Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089906"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "20e504782951e0c2979d9aec88c76334f7505393", "title": "Robust LSTM-Autoencoders for Face De-Occlusion in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.08534.pdf"], "doi": []}, {"id": "9ca542d744149f0efc8b8aac8289f5e38e6d200c", "title": "Gender and Smile Classification Using Deep Convolutional Neural Networks", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016_workshops/w18/papers/Zhang_Gender_and_Smile_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789587", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.97", "http://doi.org/10.1109/CVPRW.2016.97"]}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "d89cfed36ce8ffdb2097c2ba2dac3e2b2501100d", "title": "Robust Face Recognition via Multimodal Deep Face Representation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.00244.pdf"], "doi": []}, {"id": "7aa4c16a8e1481629f16167dea313fe9256abb42", "title": "Multi-task learning for face identification and attribute estimation", "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002981.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952703", "http://doi.org/10.1109/ICASSP.2017.7952703"]}, {"id": "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "title": "Representation Learning by Rotating Your Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11136.pdf"], "doi": []}, {"id": "84c5b45328dee855c4855a104ac9c0558cc8a328", "title": "Conformal Mapping of a 3D Face Representation onto a 2D Image for CNN Based Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411213", "http://doi.org/10.1109/ICB2018.2018.00029"]}, {"id": "486a82f50835ea888fbc5c6babf3cf8e8b9807bc", "title": "Face Search at Scale: 80 Million Gallery", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.07242.pdf"], "doi": []}, {"id": "f0b30a9bb9740c2886d96fc44d6f35b8eacab4f3", "title": "Are You Sure You Want To Do That ? Classification with Interpretable Queries", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f0b3/0a9bb9740c2886d96fc44d6f35b8eacab4f3.pdf"], "doi": []}, {"id": "77d31d2ec25df44781d999d6ff980183093fb3de", "title": "The Multiverse Loss for Robust Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.09033.pdf"], "doi": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "204b2b9c33d2c3be77dbd6d82dfefd1dfa95d8a3", "title": "Deep Face Recognition under Eyeglass and Scale Variation Using Extended Siamese Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575869", "http://doi.org/10.1109/ACPR.2017.48"]}, {"id": "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "title": "Metric-based Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123334"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "de0eb358b890d92e8f67592c6e23f0e3b2ba3f66", "title": "Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.01587.pdf"], "doi": []}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014811", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.77", "http://doi.org/10.1109/CVPRW.2017.77"]}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "78a11b7d2d7e1b19d92d2afd51bd3624eca86c3c", "title": "Improved Deep Metric Learning with Multi-class N-pair Loss Objective", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/78a1/1b7d2d7e1b19d92d2afd51bd3624eca86c3c.pdf"], "doi": []}, {"id": "62d1a31b8acd2141d3a994f2d2ec7a3baf0e6dc4", "title": "Noise-resistant network: a deep-learning method for face recognition under noise", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/62d1/a31b8acd2141d3a994f2d2ec7a3baf0e6dc4.pdf"], "doi": []}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "4aa18f3a1c85f7a09d3b0d6b28c0339199892d60", "title": "The Application of Neural Networks for Facial Landmarking on Mobile Devices", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4aa1/8f3a1c85f7a09d3b0d6b28c0339199892d60.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "3fe269cbe3a15aca4663d7086e0622ec5eb93c2d", "title": "Neural Information Processing", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-030-04167-0"]}, {"id": "badde061da20510ca74b94818eb726d27ff2f491", "title": "Improving speech embedding using crossmodal transfer learning with audio-visual data", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6992-3"]}, {"id": "eb3066de677f9f6131aab542d9d426aaf50ed2ce", "title": "Deep Transfer Network with 3D Morphable Models for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373860", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00067", "http://doi.org/10.1109/FG.2018.00067"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "d754586d1bed2074824d650305cb361ef2706f44", "title": "Deep convolutional BiLSTM fusion network for facial expression recognition", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-019-01636-3"]}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.pdf"], "doi": []}, {"id": "f1280f76933ba8b7f4a6b8662580504f02bb4ab6", "title": "Gender Classification by Deep Learning on Millions of Weakly Labelled Images", "year": "2016", "pdf": ["https://research-information.bristol.ac.uk/files/90114160/Sen_Jia_Gender_Classification_by_Deep_Learning_on_Millions_of_Weakly_Labelled_Images.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7836703", "http://doi.org/10.1109/ICDMW.2016.0072"]}, {"id": "f2004fff215a17ac132310882610ddafe25ba153", "title": "Facial Expression Recognition via Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8308363", "http://doi.ieeecomputersociety.org/10.1109/AICCSA.2017.124", "http://doi.org/10.1109/AICCSA.2017.124"]}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"id": "b6b24dfaf4c9e498ca9b9ee9f82d8d0c5bdb77e9", "title": "Rethinking Feature Distribution for Loss Functions in Image Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579048"]}, {"id": "a1feab9029e49d1a5d4ad511be30bd40a423a1eb", "title": "Effective multiple person recognition in random video sequences using a convolutional neural network", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-019-7323-z"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "title": "Using deep learning for social analysis in egocentric images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b13a/b3647352c3af2ba656f93b69bb5ae9a69fe5.pdf"], "doi": []}, {"id": "77c7d8012fe4179a814c1241a37a2256361bc1a4", "title": "BGP Face Retrieval Based on Coding Pyramid", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8530228"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "011e6146995d5d63c852bd776f782cc6f6e11b7b", "title": "Fast Training of Triplet-Based Deep Binary Embedding Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02844.pdf"], "doi": []}, {"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10462-018-9661-z"]}, {"id": "f442a2f2749f921849e22f37e0480ac04a3c3fec", "title": "Critical Features for Face Recognition in Humans and Machines", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f442/a2f2749f921849e22f37e0480ac04a3c3fec.pdf"], "doi": []}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961796", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.75", "http://doi.org/10.1109/FG.2017.75"]}, {"id": "b6967d6096294bbac242b6f27e1fee51da24eb11", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578645"]}, {"id": "0ad4a814b30e096ad0e027e458981f812c835aa0", "title": "Leveraging mid-level deep representations for predicting face attributes in the wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.01827.pdf"], "doi": []}, {"id": "0ee737085af468f264f57f052ea9b9b1f58d7222", "title": "SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08370.pdf"], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "80097a879fceff2a9a955bf7613b0d3bfa68dc23", "title": "Active Self-Paced Learning for Cost-Effective and Progressive Face Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.03555.pdf"], "doi": []}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "de0ee491d2747a6f3d171f813fe6f5cdb3a27fd6", "title": "FPGA-accelerated deep convolutional neural networks for high throughput and energy efficiency", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1002/cpe.3850"]}, {"id": "09f5033e1e91dae1f7f31cba2b65bbff1d5f8ca3", "title": "Face Recognition Based on Densely Connected Convolutional Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499078", "http://doi.org/10.1109/BigMM.2018.8499078"]}, {"id": "72a55554b816b66a865a1ec1b4a5b17b5d3ba784", "title": "Real-Time Face Identification via CNN and Boosted Hashing Forest", "year": "2016", "pdf": ["http://vislab.ucr.edu/Biometrics16/CVPRW_Vizilter.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Vizilter_Real-Time_Face_Identification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789515", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.25", "http://doi.org/10.1109/CVPRW.2016.25"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "1f94734847c15fa1da68d4222973950d6b683c9e", "title": "Embedding Label Structures for Fine-Grained Feature Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02895.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "pdf": [], "doi": []}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373908", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00115", "http://doi.org/10.1109/FG.2018.00115"]}, {"id": "81695fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f", "title": "Comparison of Face Recognition Neural Networks", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8169/5fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f.pdf"], "doi": []}, {"id": "5bb87c7462c6c1ec5d60bde169c3a785ba5ea48f", "title": "Targeting Ultimate Accuracy: Face Recognition via Deep Embedding", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07310.pdf"], "doi": []}, {"id": "7d40e7e5c01bd551edf65902386401e1b8b8014b", "title": "Channel-Level Acceleration of Deep Face Representations", "year": "2015", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/RRR_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303876", "http://doi.org/10.1109/ACCESS.2015.2494536"]}, {"id": "7b455cbb320684f78cd8f2443f14ecf5f50426db", "title": "A Fast and Robust Negative Mining Approach for Enrollment in Face Recognition Systems", "year": "2017", "pdf": ["http://repositorio.unicamp.br/jspui/bitstream/REPOSIP/275553/1/Martins_SamuelBotter_M.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097313", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.33", "http://doi.org/10.1109/SIBGRAPI.2017.33"]}, {"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": "93d11da02205bbc5ae68e521e421f70a4b74a7f7", "title": "Emotion recognition and reaction prediction in videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8234476"]}, {"id": "8da32ff9e3759dc236878ac240728b344555e4e9", "title": "Investigating Nuisance Factors in Face Recognition with DCNN Representation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Ferrari_Investigating_Nuisance_Factors_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014820", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.86", "http://doi.org/10.1109/CVPRW.2017.86"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/celeba.json b/site/datasets/unknown/celeba.json index ee43b161..9e573269 100644 --- a/site/datasets/unknown/celeba.json +++ b/site/datasets/unknown/celeba.json @@ -1 +1 @@ -{"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "citations": [{"id": "b1c80444ecf42c303dbf65e47bea999af7a172bf", "title": "Exploring generative perspective of convolutional neural networks by learning random field models \u2217", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bea1/3cc5e7b39a05f858f69318b16c398863d610.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "c8dcb7b3c5ed43e61b90b50fedc76568d8e30675", "title": "GUARDING AGAINST ADVERSARIAL DOMAIN SHIFTS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c8dc/b7b3c5ed43e61b90b50fedc76568d8e30675.pdf"], "doi": []}, {"id": "90c8899132396fa1b4c1efd534739cadd5bdca3b", "title": "FR-ANet: A Face Recognition Guided Facial Attribute Classification Network", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16810", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16810/16466"]}, {"id": "9a10845115794117485fc84f9b9e6ada2a7d2b00", "title": "Eye In-painting with Exemplar Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03999.pdf"], "doi": []}, {"id": "57235f22abcd6bb928007287b17e235dbef83347", "title": "Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11145.pdf"], "doi": []}, {"id": "c5b311152a4e611288a77fbb1460eb0fbb049de3", "title": "An Efficient Training Strategy for Face Detector in Specific Scenes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976440", "http://doi.org/10.1109/ITME.2016.0026"]}, {"id": "00426c770eb74b11bdc63e24c8ae7f1c84c8ea8a", "title": "Fast cosmic web simulations with generative adversarial networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/239a/5a9cbe379e65ec72947c086af97d91e8e926.pdf"], "doi": []}, {"id": "3355aff37b5e4ba40fc689119fb48d403be288be", "title": "Deep Private-Feature Extraction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03151.pdf"], "doi": []}, {"id": "b63041d05b78a66724fbcb2803508999bf885d6b", "title": "Deep Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06114.pdf"], "doi": []}, {"id": "e184ee1c1ad3ea77dee5d8f9329eb2efabd2120a", "title": "Deep Archetypal Analysis", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10799.pdf"], "doi": []}, {"id": "5b3e9cd460746c51607ba2bf8cac439f37d0c5c3", "title": "Learning Generative ConvNets via Multi-grid Modeling and Sampling", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579052"]}, {"id": "231af7dc01a166cac3b5b01ca05778238f796e41", "title": "GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08500.pdf"], "doi": []}, {"id": "b4f58d7fc87a9c276965e604fbe83592bae7f4e5", "title": "ROC-GAN: ROBUST CONDITIONAL GAN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4f5/8d7fc87a9c276965e604fbe83592bae7f4e5.pdf"], "doi": []}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "9ce4541d21ee3511bf3dc55bc3cd01222194d95a", "title": "Face inpainting based on high-level facial attributes", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.05.008"]}, {"id": "7ef0cc4f3f7566f96f168123bac1e07053a939b2", "title": "Triangular Similarity Metric Learning: a Siamese Architecture Approach. ( L'apprentissage de similarit\u00e9 triangulaire en utilisant des r\u00e9seaux siamois)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e735/b8212d8a81909753291d5d06789a917014f8.pdf"], "doi": []}, {"id": "8134b052a9aedd573dd16649a611f68b48e30cb2", "title": "InverseFaceNet: Deep Monocular Inverse Face Rendering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.10956.pdf"], "doi": []}, {"id": "c4f3375dab1886f37f542d998e61d8c30a927682", "title": "BEYOND SHARED HIERARCHIES: DEEP MULTITASK LEARNING THROUGH SOFT LAYER ORDERING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c4f3/375dab1886f37f542d998e61d8c30a927682.pdf"], "doi": []}, {"id": "b612bbd751d94996a02b85829e0b2ac0511350ff", "title": "Learning Representations for Utility and Privacy : An Information-Theoretic Based Approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b612/bbd751d94996a02b85829e0b2ac0511350ff.pdf"], "doi": []}, {"id": "330b3db69f70f01afd674a2b7bce4bb5000bf164", "title": "Learning the Base Distribution in Implicit Generative Models", "year": "2018", "pdf": [], "doi": []}, {"id": "e909b9e0bbfc37d0b99acad5014e977daac7e2bd", "title": "Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10323.pdf"], "doi": []}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "731d33256d42dc4146019954c46c566aa666d7f2", "title": "Partially Shared Multi-task Convolutional Neural Network with Local Constraint for Face Attribute Learning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Partially_Shared_Multi-Task_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578549", "http://doi.org/10.1109/CVPR.2018.00451"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "42a48ce71daa2d05c698d2e9e90335320ddd9841", "title": "General-to-specific learning for facial attribute classification in the wild", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2018.09.003"]}, {"id": "8bff7353fa4f75629ea418ca8db60477a751db93", "title": "Invariance of Weight Distributions in Rectified MLPs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09090.pdf"], "doi": []}, {"id": "d979dbc55f73304a5d839079c070062e0b3ddbc5", "title": "Deep Learning Markov Random Field for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.07230.pdf"], "doi": []}, {"id": "a90226c41b79f8b06007609f39f82757073641e2", "title": "\u0392-vae: Learning Basic Visual Concepts with a Constrained Variational Framework", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a902/26c41b79f8b06007609f39f82757073641e2.pdf"], "doi": []}, {"id": "385750bcf95036c808d63db0e0b14768463ff4c6", "title": "Autoencoding beyond pixels using a learned similarity metric", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.09300.pdf"], "doi": []}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "c9b90cf9cdd901bd3072d6dfd8ddc523c55944b1", "title": "Adversarial Generator-Encoder Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c9b9/0cf9cdd901bd3072d6dfd8ddc523c55944b1.pdf"], "doi": []}, {"id": "39d08fa8b028217384daeb3e622848451809a422", "title": "Variational Approaches for Auto-Encoding Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04987.pdf"], "doi": []}, {"id": "0b783e750da34c61ea404be8bc40788fd66c867d", "title": "Generative Autotransporters", "year": "2017", "pdf": [], "doi": []}, {"id": "47617c126442fb041f8aab30a8c0c5d2a56d357b", "title": "Phase Retrieval Under a Generative Prior", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04261.pdf"], "doi": []}, {"id": "b04d4b1e8b510180726f49a66dbaaf23c9ef64a0", "title": "Introspective Generative Modeling: Decide Discriminatively.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07820.pdf"], "doi": []}, {"id": "08809165154c9c557d368cddfa3ae66ccaceaed9", "title": "Taming VAEs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.00597.pdf"], "doi": []}, {"id": "372bc106c61e7eb004835e85bbfee997409f176a", "title": "Coupled Generative Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07536.pdf"], "doi": []}, {"id": "c05ae45c262b270df1e99a32efa35036aae8d950", "title": "Predicting Facial Attributes in Video Using Temporal Coherence and Motion-Attention", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354120", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00017", "http://doi.org/10.1109/WACV.2018.00017"]}, {"id": "e83753a708e3bc8072851fe97aa6929515c518ec", "title": "Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546745"]}, {"id": "40638a7a9e0a0499af46053c6efc05ce0b088a28", "title": "On the convergence properties of GAN training", "year": "2018", "pdf": [], "doi": []}, {"id": "cd5ef3aeebc231e2c833ef55cf0571aa990c5ff8", "title": "IMAGE QUALITY ASSESSMENT TECHNIQUES IMPROVE TRAINING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cd5e/f3aeebc231e2c833ef55cf0571aa990c5ff8.pdf"], "doi": []}, {"id": "346578304ff943b97b3efb1171ecd902cb4f6081", "title": "Generative Multi-Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01673.pdf"], "doi": []}, {"id": "a562180056cc4906d6d5ef9d2b4ed098d8512317", "title": "Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11346.pdf"], "doi": []}, {"id": "6211ba456908d605e85d102d63b106f1acb52186", "title": "Visual Interpretability forDeepLearning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6211/ba456908d605e85d102d63b106f1acb52186.pdf"], "doi": []}, {"id": "fed9e971e042b40cc659aca6e338d79dc1d4b59c", "title": "GROUPING-BY-ID: GUARDING AGAINST ADVERSAR-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fed9/e971e042b40cc659aca6e338d79dc1d4b59c.pdf"], "doi": []}, {"id": "1a8a2539cffba25ed9a7f2b869ebb737276ccee1", "title": "Pros and Cons of GAN Evaluation Measures", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03446.pdf"], "doi": []}, {"id": "2c94682176f320f406f78c484f9135f085d1c0f0", "title": "Geometric Enclosing Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "2bee6a78bbc3222a76cf1da0217567277aa3ed5f", "title": "Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10813.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "7fa62c091a14830ae256dc00b512f7d4b4cf5b94", "title": "Stabilizing GAN Training with Multiple Random Projections", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7fa6/2c091a14830ae256dc00b512f7d4b4cf5b94.pdf"], "doi": []}, {"id": "df87a13f5c175217b9414bb1958c0fe1a28028c1", "title": "Learning Disentangled Joint Continuous and Discrete Representations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00104.pdf"], "doi": []}, {"id": "b5097e8098d1ab1cc76b5d1baf693d61fcfee46a", "title": "A General and Adaptive Robust Loss Function.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b509/7e8098d1ab1cc76b5d1baf693d61fcfee46a.pdf"], "doi": []}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "37381718559f767fc496cc34ceb98ff18bc7d3e1", "title": "Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3738/1718559f767fc496cc34ceb98ff18bc7d3e1.pdf"], "doi": []}, {"id": "06be17bcc4136476855fc594759dddc6f8b6150f", "title": "MMGAN: Manifold Matching Generative Adversarial Network for Generating Images", "year": "2017", "pdf": [], "doi": []}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "f0483ebab9da2ba4ae6549b681cf31aef2bb6562", "title": "3 C-GAN : A N CONDITION-CONTEXT-COMPOSITE GENERATIVE ADVERSARIAL NETWORKS FOR GENERATING IMAGES SEPARATELY", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f048/3ebab9da2ba4ae6549b681cf31aef2bb6562.pdf"], "doi": []}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "2727927c7493cef9785b3a06a38f5c1ce126fc23", "title": "Semi-supervised FusedGAN for Conditional Image Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05551.pdf"], "doi": []}, {"id": "3e832919bf4156dd2c7c191acbbc714535f1d8c2", "title": "LOMIT: LOCAL MASK-BASED IMAGE-TO-IMAGE TRANSLATION VIA PIXEL-WISE HIGHWAY ADAPTIVE INSTANCE NORMALIZATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3e83/2919bf4156dd2c7c191acbbc714535f1d8c2.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": "b5a369ebcb2e9a8169b71791d77e7a3ad992870f", "title": "Synthesizing Programs for Images using Reinforced Adversarial Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01118.pdf"], "doi": []}, {"id": "09137e3c267a3414314d1e7e4b0e3a4cae801f45", "title": "Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06078.pdf"], "doi": []}, {"id": "c5102d940cd249df5ffa084a1b8e1bc5a75cd769", "title": "Disentangled Representation Learning for Stylistic Variation in Neural Language Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c510/2d940cd249df5ffa084a1b8e1bc5a75cd769.pdf"], "doi": []}, {"id": "d7fe2a52d0ad915b78330340a8111e0b5a66513a", "title": "Photo-to-Caricature Translation on Faces in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10735.pdf"], "doi": []}, {"id": "ec3eb92b9a56b1fa84b127b8acc980555cd1f2e0", "title": "Channel-Recurrent Variational Autoencoders", "year": "2017", "pdf": [], "doi": []}, {"id": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "1450296fb936d666f2f11454cc8f0108e2306741", "title": "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05192.pdf"], "doi": []}, {"id": "35800a537017803dd08274710388734db66b54f0", "title": "Sliced Wasserstein Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02631.pdf"], "doi": []}, {"id": "e1740c8a562901ac1b94c78b33c4416500cedebc", "title": "JOINT-VAE: LEARNING DISENTANGLED JOINT CON-", "year": "2018", "pdf": [], "doi": []}, {"id": "f792f75f6d2bf265569d4e63dd139c4d04ec7fdb", "title": "Introspective Neural Networks for Generative Modeling", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Lazarow_Introspective_Neural_Networks_ICCV_2017_paper.pdf", "http://pages.ucsd.edu/~ztu/publication/iccv17_inng.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237564", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.302", "http://doi.org/10.1109/ICCV.2017.302"]}, {"id": "72a6044a0108e0f8f1e68cd70ada46c81a416324", "title": "Improved Training of Generative Adversarial Networks Using Representative Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09195.pdf"], "doi": []}, {"id": "db0d33590dc15de2d30cf0407b7a26ae79cd51b5", "title": "Deep Probabilistic Modeling of Natural Images using a Pyramid Decomposition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/db0d/33590dc15de2d30cf0407b7a26ae79cd51b5.pdf"], "doi": []}, {"id": "34a4c733bc2b53253dbebe67f1af83b969c2e657", "title": "Learning Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain", "year": "2017", "pdf": [], "doi": []}, {"id": "bb97664df153ac563e46ec2233346129cafe601b", "title": "A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05611.pdf"], "doi": []}, {"id": "2bff9e02dd5d5ccab39ffb024620655166b151b5", "title": "Universite\u0301 de Montre\u0301al Learning to sample from noise with deep generative models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2bff/9e02dd5d5ccab39ffb024620655166b151b5.pdf"], "doi": []}, {"id": "56f5005c4be6f816f6f43795cc4825d798cd53ef", "title": "GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium", "year": "2017", "pdf": [], "doi": []}, {"id": "551b75dd57829b584de5f51b63426efac81018db", "title": "Recision T Raining", "year": "2017", "pdf": [], "doi": []}, {"id": "c074d5a645e1554faf0383282c37af971c5441d8", "title": "Mixture Density Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00152.pdf"], "doi": []}, {"id": "dfcb4773543ee6fbc7d5319b646e0d6168ffa116", "title": "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.04722.pdf"], "doi": []}, {"id": "a47ac8569ab1970740cff9f1643f77e9143a62d4", "title": "Associative Compression Networks for Representation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02476.pdf"], "doi": []}, {"id": "e0515dc0157a89de48e1120662afdd7fe606b544", "title": "Perception Science in the Age of Deep Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e051/5dc0157a89de48e1120662afdd7fe606b544.pdf"], "doi": []}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "a91fd02ed2231ead51078e3e1f055d8be7828d02", "title": "The Robust Manifold Defense: Adversarial Training using Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09196.pdf"], "doi": []}, {"id": "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "title": "Compare and Contrast : Learning Prominent Differences in Relative Attributes by", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a6b/ba2e81d5fb3c0fd0e6b757cf50ba7bf8e924.pdf"], "doi": []}, {"id": "6b2db002cbc5312e4796de4d4b14573df2c01648", "title": "Learning Hierarchical Features from Deep Generative Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6b2d/b002cbc5312e4796de4d4b14573df2c01648.pdf"], "doi": []}, {"id": "26690f2548c6dbf630de202b40dec417b20c9b6c", "title": "Variational Inference of Disentangled Latent Concepts from Unlabeled Observations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00848.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "84c35fc21db3bcd407a4ffb009912b6ac5a47e3c", "title": "MGAN: TRAINING GENERATIVE ADVERSARIAL NETS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/84c3/5fc21db3bcd407a4ffb009912b6ac5a47e3c.pdf"], "doi": []}, {"id": "e9afb44fa1bf048e90d68f755945bc2b81642239", "title": "Data-Driven Geometric Face Image Smilization Featuring Moving Least Square Based Deformation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966747", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.86", "http://doi.org/10.1109/BigMM.2017.86"]}, {"id": "d9ca4c9b35b5a3eac4229e5e767caff339ab1641", "title": "Recovering Faces From Portraits with Auxiliary Facial Attributes", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8659142"]}, {"id": "629093211c6ef089fe53680472c147af9af678d4", "title": "SmileNet: Registration-Free Smiling Face Detection In The Wild", "year": "2017", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36405/Jang%20SmileNet%20Registration-Free%202018%20Published.pdf?sequence=1", "https://www.cl.cam.ac.uk/~hg410/JangEtAl_ICCVW2017.pdf", "https://www.repository.cam.ac.uk/bitstream/handle/1810/267848/JangEtAl-ICCVW-2017-final.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265396", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.186", "http://doi.org/10.1109/ICCVW.2017.186"]}, {"id": "92e5708ed3b622ca1f0f6ac28ffd6e789c528cdf", "title": "Adversarial Inversion : Inverse Graphics with Adversarial Priors", "year": "2017", "pdf": [], "doi": []}, {"id": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without Face Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "f580b0e1020ad67bdbb11e8d99a59c21a8df1e7d", "title": "Compressed Sensing using Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03208.pdf"], "doi": []}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "7689d23a22682c92bdf9a1df975fa2cdd24f1b87", "title": "MMD with Kernel Learning In practice we use finite samples from distributions to estimate", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7689/d23a22682c92bdf9a1df975fa2cdd24f1b87.pdf"], "doi": []}, {"id": "2d2102d3fe127444e203a2ab11c2b3d5f56874cc", "title": "Wasserstein Auto-Encoders", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.01558.pdf"], "doi": []}, {"id": "708f4787bec9d7563f4bb8b33834de445147133b", "title": "Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_Wavelet-SRNet_A_Wavelet-Based_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237449", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.187", "http://doi.org/10.1109/ICCV.2017.187"]}, {"id": "318c4c25d86511690cc5df7b041a6392e8cc4ea8", "title": "Fashion-Gen: The Generative Fashion Dataset and Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08317.pdf"], "doi": []}, {"id": "db1a9b8d8ce9a5696a96f8db4206b6f72707730e", "title": "Cross-Modal Facial Attribute Recognition with Geometric Features", "year": "2017", "pdf": ["https://www.jventura.net/sites/default/files/bradley_hfr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961838", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.127", "http://doi.org/10.1109/FG.2017.127"]}, {"id": "8ea9093542075bd8cc4928a4c671a95f363c61ef", "title": "Sliced-Wasserstein Autoencoder : An Embarrassingly Simple Generative Model", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8ea9/093542075bd8cc4928a4c671a95f363c61ef.pdf"], "doi": []}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "b7bf1fead0b966de955b33b024fe84866be42695", "title": "C V ] 1 0 N ov 2 01 8 Multi-label Object Attribute Classification using a Convolutional Neural Network", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b7bf/1fead0b966de955b33b024fe84866be42695.pdf"], "doi": []}, {"id": "9a62a3b6894aeadf0043fc42b6419c062ccc66d0", "title": "Neural Joint Source-Channel Coding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07557.pdf"], "doi": []}, {"id": "729405648886d51d441351dc51ee47cfe53bcaf0", "title": "ChainGAN: A sequential approach to GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08081.pdf"], "doi": []}, {"id": "a8895ffa0b60d1456539f1c6bc995bc7c83a9613", "title": "Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/a889/5ffa0b60d1456539f1c6bc995bc7c83a9613.pdf"], "doi": []}, {"id": "4a45b8f8decc178305af06d758ac7428a9070fad", "title": "Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.10151.pdf"], "doi": []}, {"id": "d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576", "title": "Neural Face Editing with Intrinsic Image Disentangling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04131.pdf"], "doi": []}, {"id": "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579001"]}, {"id": "2a142bad9ad28ae70ad399b3962d51c16a2d1289", "title": "How Polarized Have We Become? A Multimodal Classification of Trump Followers and Clinton Followers", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00617.pdf"], "doi": []}, {"id": "c9d7219d54eccb9e49b72044d805e103fe17ba80", "title": "Towards Information-Seeking Agents", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02605.pdf"], "doi": []}, {"id": "b8942497abfc1025b3961d3e62bd326b829b068d", "title": "Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578751"]}, {"id": "1d49ee6afb82b5fbacf69628f52e76dc33341643", "title": "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578362"]}, {"id": "2da1a80955df1612766ffdf63916a6a374780161", "title": "Generating steganographic images via adversarial training", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00371.pdf"], "doi": []}, {"id": "0ee737085af468f264f57f052ea9b9b1f58d7222", "title": "SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08370.pdf"], "doi": []}, {"id": "34558af5df236172cd99162057450b81f1ccba1d", "title": "Probabilistic Semantic Inpainting with Pixel Constrained CNNs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03728.pdf"], "doi": []}, {"id": "e6ca412a05002b51d358c2e3061913c3dab6b810", "title": "MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10580.pdf"], "doi": []}, {"id": "250449a9827e125d6354f019fc7bc6205c5fd549", "title": "Adversarial Reconstruction Loss", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2504/49a9827e125d6354f019fc7bc6205c5fd549.pdf"], "doi": []}, {"id": "b19f24ec92388513d1516d71292559417c776006", "title": "CAUSALGAN: LEARNING CAUSAL IMPLICIT GENER-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b19f/24ec92388513d1516d71292559417c776006.pdf"], "doi": []}, {"id": "d7080ad3381ff613f7445e8f8ac6aec0e776e79b", "title": "Compare and Contrast: Learning Prominent Visual Differences", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00112.pdf"], "doi": []}, {"id": "e37bde2765c0869982c48a7bbd139d0c63246fa6", "title": "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04120.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "189eedfc81ee47b2b44caf8bfe816726697ba421", "title": "Facial Attributes Guided Deep Sketch-to-Photo Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347106", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00006", "http://doi.org/10.1109/WACVW.2018.00006"]}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "5bbf9a1dd48c9d388f791ed0627f010c3f5b6d64", "title": "Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01833.pdf"], "doi": []}, {"id": "075f0ca63dc0eb24b537125a983c28d61678fb2e", "title": "Diversity Regularized Adversarial Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10824.pdf"], "doi": []}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "5da53a17165fcc64e8fb6e9ca532bfb6d95ff622", "title": "RSCM: Region Selection and Concurrency Model for Multi-Class Weather Recognition", "year": "2017", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/rscm_pami17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7904720", "http://doi.org/10.1109/TIP.2017.2695883", "https://www.ncbi.nlm.nih.gov/pubmed/28436867", "https://www.wikidata.org/entity/Q38823329"]}, {"id": "a9090748223ea0932d075a2eb5615ea48bb24cc0", "title": "On Latent Distributions Without Finite Mean in Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01670.pdf"], "doi": []}, {"id": "120adede81dc6b3bfcb4cd276f0b73cc58a96c1a", "title": "PixelCNN Models with Auxiliary Variables for Natural Image Modeling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08185.pdf"], "doi": []}, {"id": "7b6f0c4b22aee0cb4987cba9df121d4076fac5a5", "title": "On Learning 3D Face Morphable Model from In-the-wild Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09560.pdf"], "doi": []}, {"id": "a66d2c8220d53742ec240ed3e77b8f81a0d72531", "title": "TzK: Flow-Based Conditional Generative Model", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01893.pdf"], "doi": []}, {"id": "5a4a53339068eebd1544b9f430098f2f132f641b", "title": "Hierarchical Disentangled Representations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e3ba/139c5a739f5c27d2cb7e0f93e76daddcee66.pdf"], "doi": []}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "9941a408ae031d1254bbc0fe7a63fac5f85fe347", "title": "Neural Processes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01622.pdf"], "doi": []}, {"id": "308898a6bcb180f8fde1901a89e8baa213eb4954", "title": "MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08484.pdf"], "doi": []}, {"id": "404c7839afe2fec48a06f83d2a532c05ad8ba0d3", "title": "Vehicle Classification using Transferable Deep Neural Network Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/404c/7839afe2fec48a06f83d2a532c05ad8ba0d3.pdf"], "doi": []}, {"id": "da13a0dbcea87e032acb6b1ce64f7cb778f39612", "title": "Disentangling Disentanglement in Variational Auto-Encoders", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02833.pdf"], "doi": []}, {"id": "8392640c275cab9bfbf6b35eaf4556618745b118", "title": "Deep Multimodality Model for Multi-task Multi-view Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08723.pdf"], "doi": []}, {"id": "d8526863f35b29cbf8ac2ae756eaae0d2930ffb1", "title": "Face Generation for Low-Shot Learning Using Generative Adversarial Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Choe_Face_Generation_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265439", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.229", "http://doi.org/10.1109/ICCVW.2017.229"]}, {"id": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.pdf"], "doi": []}, {"id": "cfd37181201c886b591c30869af8c7f39cd7d22f", "title": "Graphical Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03429.pdf"], "doi": []}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "23fd82c04852b74d655015ff0876e6c5defc6e61", "title": "Deep-based Ingredient Recognition for Cooking Recipe Retrieval", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2964315"]}, {"id": "784a83437b3dba49c0d7ccc10ac40497b84661a5", "title": "Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Kaneko_Generative_Attribute_Controller_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Kaneko_Generative_Attribute_Controller_2017_CVPR_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100224", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.741", "http://doi.org/10.1109/CVPR.2017.741"]}, {"id": "76cb2ecc96f02b1d8a7a0d1681fbb55367a4b765", "title": "Learning Object States from Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76cb/2ecc96f02b1d8a7a0d1681fbb55367a4b765.pdf"], "doi": []}, {"id": "4d3cbc5799d7963477da279dae9a08ac4d459157", "title": "Deep Learning for Nonlinear Diffractive Imaging", "year": "2018", "pdf": [], "doi": []}, {"id": "619a5c54981238fd9c31300c5a45857338742d32", "title": "An Introduction to Image Synthesis with Generative Adversarial Nets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04469.pdf"], "doi": []}, {"id": "fa60521dabd2b64137392b4885e4d989f4b86430", "title": "Physics-Based Generative Adversarial Models for Image Restoration and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00605.pdf"], "doi": []}, {"id": "a101de23d08350011890f851d4f73ba8f39259c8", "title": "Multi-Task Zipping via Layer-wise Neuron Sharing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09791.pdf"], "doi": []}, {"id": "b8658fc3b17e75afce025bcbb161dd02e7004b1f", "title": "Deep Mesh Projectors for Inverse Problems", "year": "2018", "pdf": [], "doi": []}, {"id": "69adf2f122ff18848ff85e8de3ee3b2bc495838e", "title": "Arbitrary Facial Attribute Editing: Only Change What You Want", "year": "2017", "pdf": [], "doi": []}, {"id": "6baaa8b763cc5553715766e7fbe7abb235fae33c", "title": "Facial Attributes Classification Using Multi-task Representation Learning", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Ehrlich_Facial_Attributes_Classification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789589", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.99", "http://doi.org/10.1109/CVPRW.2016.99"]}, {"id": "7b058f57d40925e255f88648e9bd41c6aaf1c37b", "title": "Virtual Conditional Generative Adversarial Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09822.pdf"], "doi": []}, {"id": "257e61e6b38ae23b7ddce9907c05b0e78be4d79d", "title": "The LORACs prior for VAEs: Letting the Trees Speak for the Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06891.pdf"], "doi": []}, {"id": "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "title": "Are facial attributes adversarially robust?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05411.pdf"], "doi": []}, {"id": "58108d7ddb79dcdab8c403f0dea6f239058be0d9", "title": "Improving the Visual Quality of Generative Adversarial Network (GAN)-Generated Images Using the Multi-Scale Structural Similarity Index", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451296"]}, {"id": "544cf61103ac01eacb6d41f4d35ee1cf89167db1", "title": "Assessing Generative Models via Precision and Recall", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00035.pdf"], "doi": []}, {"id": "c86e6ed734d3aa967deae00df003557b6e937d3d", "title": "Generative Adversarial Networks with Decoder-Encoder Output Noise", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03923.pdf"], "doi": []}, {"id": "fc3e097ea7dd5daa7d314ecebe7faad9af5e62fb", "title": "Variational Inference and Model Selection with Generalized Evidence Bounds", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fc3e/097ea7dd5daa7d314ecebe7faad9af5e62fb.pdf"], "doi": []}, {"id": "7a16f37ecccca4f9703ce190dc596149b4ccc8d2", "title": "A Deep Cascade Network for Unaligned Face Attribute Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03851.pdf"], "doi": []}, {"id": "48a62c91794c55aa3a81acaca77de52753a854b0", "title": "Direct Optimization through arg max for Discrete Variational Auto-Encoder", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02867.pdf"], "doi": []}, {"id": "8bddd0afd064e2d45ab6cf9510f2631f7438c17b", "title": "Outlier Detection using Generative Models with Theoretical Performance Guarantees", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11335.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "66436e96aafa7abd3b0700e8409dbb360775a9b8", "title": "Considering Race a Problem of Transfer Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638327"]}, {"id": "a4ee9f089ab9a48a6517a6967281247339a51747", "title": "Resembled Generative Adversarial Networks: Two Domains with Similar Attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00947.pdf"], "doi": []}, {"id": "07a8a4b8f207b2db2a19e519027f70cd1c276294", "title": "Pixel Recursive Super Resolution", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00783.pdf"], "doi": []}, {"id": "0700d36427b3a6cb6223a639ffea11570400ab25", "title": "Doing the Best We Can with What We Have: Multi-Label Balancing with Selective Learning for Attribute Prediction", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16962", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16962/16273"]}, {"id": "21ae4ed57d395aba2158a4f86e93935be66dea20", "title": "Wasserstein Introspective Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578488"]}, {"id": "8d6d0fdf4811bc9572326d12a7edbbba59d2a4cc", "title": "SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02531.pdf"], "doi": []}, {"id": "654ad3b6f7c6de7184a9e8eec724e56274f27e3f", "title": "Alternating Back-Propagation for Generator Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.08571.pdf"], "doi": []}, {"id": "6503c617db449861b96043b2bc892a1b4cb40a95", "title": "Learning the Base Distribution in Implicit Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04357.pdf"], "doi": []}, {"id": "e8ab6ed88fecfdc936c44bc7a73e00a1eaf17f63", "title": "Attributes in Multiple Facial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373846"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "3654e8d4f55df2dd12c0cdc37150a8a989b0bc74", "title": "Automatic classification of refrigerator using doubly convolutional neural network with jointly optimized classification loss and similarity loss", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3654/e8d4f55df2dd12c0cdc37150a8a989b0bc74.pdf"], "doi": []}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "8191f76d9df5c59186859c4834026c8e0fb42922", "title": "Deep Semantic Face Deblurring", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578960"]}, {"id": "e7ad380496ccc2e65486c2158589ca9b009cc386", "title": "Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Image Translation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8492399"]}, {"id": "4b8903b4eb3a60c0fb01c229e3192a5f9159d460", "title": "LOG HYPERBOLIC COSINE LOSS IMPROVES VARIA-", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4b89/03b4eb3a60c0fb01c229e3192a5f9159d460.pdf"], "doi": []}, {"id": "3f6a6050609ba205ec94b8af186a9dca60a8f65e", "title": "Harmonizing Maximum Likelihood with Gans", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3f6a/6050609ba205ec94b8af186a9dca60a8f65e.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "2d42b5915ca18fdc5fa3542bad48981c65f0452b", "title": "Generalization and Equilibrium in Generative Adversarial Nets (GANs)", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00573.pdf"], "doi": []}, {"id": "d50c6d22449cc9170ab868b42f8c72f8d31f9b6c", "title": "Dynamic MultiTask Learning with Convolutional Neural Network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d50c/6d22449cc9170ab868b42f8c72f8d31f9b6c.pdf"], "doi": []}, {"id": "7c2174a02f355a00f1fd5aac6dd62c84a919a2d1", "title": "Normal Residual Blocks Albedo Residual Blocks Light Estimator SH light Normal Conv . Albedo Conv . Conv . Normal Albedo Shading Image Recon", "year": "2017", "pdf": [], "doi": []}, {"id": "a8db91308f59bc9452e87fc553eecea67632c443", "title": "Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation", "year": "2017", "pdf": [], "doi": []}, {"id": "70f3d3d9a7402a0f62a5646a16583c6c58e3b07a", "title": "An Architecture for Deep, Hierarchical Generative Models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.04739.pdf"], "doi": []}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"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": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}, {"id": "9063b17ccfdf73fc789d01d3c44c451244638528", "title": "Detecting Both Machine and Human Created Fake Face Images In the Wild", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267367"]}, {"id": "485f8b28dcb7a5ffc98beb49fcbb50cf0a0b6331", "title": "A Latent Space Understandable Generative Adversarial Network: SelfExGAN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227390", "http://doi.org/10.1109/DICTA.2017.8227390"]}, {"id": "de390a143720e697bc71c3727633b155bf25a2c1", "title": "High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/de39/0a143720e697bc71c3727633b155bf25a2c1.pdf"], "doi": []}, {"id": "22d51400424c93eebc136213d51c1aebc9c1f715", "title": "Learning Implicit Generative Models by Teaching Explicit Ones", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03870.pdf"], "doi": []}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "53275aea89844c503daf8e4d0864764201def8f3", "title": "Learning deep representations by mutual information estimation and maximization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06670.pdf"], "doi": []}, {"id": "e7263a21c0bf2c146e1b8a13b8ad518286a55159", "title": "Model Cards for Model Reporting", "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287596"]}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "40a63746a710baf4a694fd5a4dd8b5a3d9fc2846", "title": "Invertible Conditional GANs for image editing", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06355.pdf"], "doi": []}, {"id": "b1ffd13e8f68401a603eea9806bc37e396a3c77d", "title": "Face Generation with Conditional Generative Adversarial Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b1ff/d13e8f68401a603eea9806bc37e396a3c77d.pdf"], "doi": []}, {"id": "788a3faa14ca191d7f187b812047190a70798428", "title": "Interpretable Set Functions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00050.pdf"], "doi": []}, {"id": "0677dd5377895b3c61cea0e6a143f38b84f1ebd7", "title": "Multimedia super-resolution via deep learning: A survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.09077.pdf"], "doi": []}, {"id": "e8c6853135856515fc88fff7c55737a292b0a15b", "title": "BoxFlow: Unsupervised Face Detector Adaptation from Images to Videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961758", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.46", "http://doi.org/10.1109/FG.2017.46"]}, {"id": "12417ed7ae81fb4e6c07f501ace9ea463349481b", "title": "Pairwise Augmented GANs with Adversarial Reconstruction Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04920.pdf"], "doi": []}, {"id": "cc4bc9f3df2d1395bb2eed084c01aa7c40975cf0", "title": "Unsupervised learning of object frames by dense equivariant image labelling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02932.pdf"], "doi": []}, {"id": "b22b4817757778bdca5b792277128a7db8206d08", "title": "SCAN: Learning Hierarchical Compositional Visual Concepts", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.03389.pdf"], "doi": []}, {"id": "8783bb81f31d66d824f36c6fb6dd2b6b3c0f2021", "title": "Unsupervised Discovery of Object Landmarks as Structural Representations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578383"]}, {"id": "bc17c2075d7f7bc414acc00a88ff5a464eedaebe", "title": "Solving Bilinear Inverse Problems using Deep Generative Priors", "year": "2018", "pdf": [], "doi": []}, {"id": "6066e13aea80f64b6ad1415cfc3839c1f8590c04", "title": "Grouping-By-ID : Guarding Against Adversarial Domain Shifts", "year": "2017", "pdf": [], "doi": []}, {"id": "f1aa120fb720f6cfaab13aea4b8379275e6d40a2", "title": "InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f1aa/120fb720f6cfaab13aea4b8379275e6d40a2.pdf"], "doi": []}, {"id": "7f6cd03e3b7b63fca7170e317b3bb072ec9889e0", "title": "A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09359.pdf"], "doi": []}, {"id": "91ddd01e983336731dce6640d66242409e6d5430", "title": "High-Resolution Deep Convolutional Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06491.pdf"], "doi": []}, {"id": "14defe2727fa6793132b6c419ff2ebc97a765a7c", "title": "Complex-Valued Neural Networks for Privacy Protection", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09546.pdf"], "doi": []}, {"id": "0ad4a814b30e096ad0e027e458981f812c835aa0", "title": "Leveraging mid-level deep representations for predicting face attributes in the wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.01827.pdf"], "doi": []}, {"id": "fa32b29e627086d4302db4d30c07a9d11dcd6b84", "title": "Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network", "year": "2018", "pdf": ["http://www.public.asu.edu/~swang187/publications/WACV18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354123", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00019", "http://doi.org/10.1109/WACV.2018.00019"]}, {"id": "69c8b0ec77d3164df2069a5133780a36ec8e91ad", "title": "Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09312.pdf"], "doi": []}, {"id": "021e008282714eaefc0796303f521c9e4f199d7e", "title": "NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354319", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00215", "http://doi.org/10.1109/WACV.2018.00215"]}, {"id": "d5cf6a02f8308e948e3bcd1fd1ca660ea8ea8921", "title": "G ENERATIVE NETWORKS AS INVERSE PROBLEMS WITH SCATTERING TRANSFORMS", "year": "", "pdf": ["https://pdfs.semanticscholar.org/d5cf/6a02f8308e948e3bcd1fd1ca660ea8ea8921.pdf"], "doi": []}, {"id": "6789bddbabf234f31df992a3356b36a47451efc7", "title": "Unsupervised Generation of Free-Form and Parameterized Avatars.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6789/bddbabf234f31df992a3356b36a47451efc7.pdf"], "doi": []}, {"id": "8818dafda0cf230731ac2f962d8591c89a9fac09", "title": "xGEMs: Generating Examplars to Explain Black-Box Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08867.pdf"], "doi": []}, {"id": "cfcf66e4b22dc7671a5941e94e9d4afae75ba2f8", "title": "The Cramer Distance as a Solution to Biased Wasserstein Gradients", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10743.pdf"], "doi": []}, {"id": "bb9a697548b8f3f9f2211228a907a8763d2a7845", "title": "Neural Proximal Gradient Descent for Compressive Imaging", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03963.pdf"], "doi": []}, {"id": "eef29a4fef85c7ed8acde9ca42f8f09d944f361d", "title": "Learning to Super-Resolve Blurry Face and Text Images", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv2017_gan_super_deblur.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Xu_Learning_to_Super-Resolve_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237298", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.36", "http://doi.org/10.1109/ICCV.2017.36"]}, {"id": "4fec382efed4e08a36fafa3710b97f0b20de1ebe", "title": "BINARIZED REPRESENTATION ENTROPY (BRE) REGULARIZATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4fec/382efed4e08a36fafa3710b97f0b20de1ebe.pdf"], "doi": []}, {"id": "799322fc525964889afbfde27db1fcef9feb3d61", "title": "Training Deep Neural Network in Limited Precision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.05486.pdf"], "doi": []}, {"id": "8699268ee81a7472a0807c1d3b1db0d0ab05f40d", "title": "Channel-Recurrent Autoencoding for Image Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03729.pdf"], "doi": []}, {"id": "31996925c87d8306401a970fe10e4c0f9123d2a5", "title": "Disentangling Latent Factors with Whitening", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03444.pdf"], "doi": []}, {"id": "cfcb4d0d9ba7eb86f068c4fe0f9e6676a37481bc", "title": "Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w18/Di_Max-Boost-GAN_Max_Operation_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265349", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.140", "http://doi.org/10.1109/ICCVW.2017.140"]}, {"id": "912475e1be5c327ab25eda51d77de141ac5f4ea7", "title": "Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578714"]}, {"id": "4e97b53926d997f451139f74ec1601bbef125599", "title": "Discriminative Regularization for Generative Models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03220.pdf"], "doi": []}, {"id": "3b6e90afe6b8dd28b3ac67e4b6c34dc4faa17aa8", "title": "Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-019-01154-8"]}, {"id": "1c44b632bcd6494f4cfc41c70ed53d93f72473cc", "title": "Generative Temporal Models with Spatial Memory for Partially Observed Environments", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09401.pdf"], "doi": []}, {"id": "b4282699ac8fcaba118afae76aaf72bc97505fb3", "title": "First Order Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04591.pdf"], "doi": []}, {"id": "008150576e5fa29fdf22d863605a261808800dc6", "title": "SMIT: Stochastic Multi-Label Image-to-Image Translation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03704.pdf"], "doi": []}, {"id": "76b11c281ac47fe6d95e124673a408ee9eb568e3", "title": "Real-time Multi View Face Detection and Pose Estimation Aishwarya", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76b1/1c281ac47fe6d95e124673a408ee9eb568e3.pdf"], "doi": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "251179381afd4f65ab59ddbd8cd37e24d439d140", "title": "Hierarchical Adversarially Learned Inference", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01071.pdf"], "doi": []}, {"id": "0ac54252eab1ac7641e03bc9b7344e2064e06405", "title": "A Spectral Regularizer for Unsupervised Disentanglement", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01161.pdf"], "doi": []}, {"id": "04fd269c96f11235fbbb985bb16dacedaa3098fd", "title": "Guarding Against Adversarial Domain Shifts with Counterfactual Regularization", "year": "2017", "pdf": [], "doi": []}, {"id": "edab5891f057dd9222f92331cdd8c72a41390650", "title": "Metropolis-Hastings Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11357.pdf"], "doi": []}, {"id": "48bc87ccc6b6e2d318f91d5f1886432806fec553", "title": "Multiaccuracy: Black-Box Post-Processing for Fairness in Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12317.pdf"], "doi": []}, {"id": "641fd2edcf93fa29181952356e93a83a26012aa2", "title": "Following are some examples from CIFAR dataset : Goal : To alter the training criteria to obtain \u2018 objectness \u2019 in the synthesis of images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/424a/f8e96c76de69153a0d528cf7d41d5c69a1a1.pdf"], "doi": []}, {"id": "9baf0509f63a3322d127ae4374aa5b0f9d5439b8", "title": "Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs", "year": "2017", "pdf": [], "doi": []}, {"id": "833cd4265bd8162d3cfb483ce8f31eaef28e7a2e", "title": "TOWARDS EFFECTIVE GANS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/833c/d4265bd8162d3cfb483ce8f31eaef28e7a2e.pdf"], "doi": []}, {"id": "15aa6c457678e25f6bc0e818e5fc39e42dd8e533", "title": "Conditional Image Generation for Learning the Structure of Visual Objects", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07823.pdf"], "doi": []}, {"id": "91e9e19a06614197b5431410cecd29762223e04e", "title": "Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00077.pdf"], "doi": []}, {"id": "389b2390fd310c9070e72563181547cf23dceea3", "title": "\u03b2-VAE : L EARNING B ASIC", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/389b/2390fd310c9070e72563181547cf23dceea3.pdf"], "doi": []}, {"id": "a398fcb30b49bee32d8f2c4cd3939517cd262025", "title": "Generative Adversarial Style Transfer Networks for Face Aging", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Palsson_Generative_Adversarial_Style_CVPR_2018_paper.pdf", "http://www.vision.ee.ethz.ch/~aeirikur/generative-adversarial-style.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Palsson-CVPRW-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575452", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00282", "http://doi.org/10.1109/CVPRW.2018.00282"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "e51d170dd4119ae1464c01fbb14e04e0ce8b3025", "title": "Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00415.pdf"], "doi": []}, {"id": "e23ed8642a719ff1ab08799257d9566ed3bba403", "title": "Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09798.pdf"], "doi": []}, {"id": "f89e5a8800b318fa03289b5cc67df54b956875b4", "title": "Do GANs actually learn the distribution? An empirical study", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08224.pdf"], "doi": []}, {"id": "45824905119ec09447d60e1809434062d5f4c1e4", "title": "Detecting Smiles of Young Children via Deep Transfer Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Xia_Detecting_Smiles_of_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265406", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.196", "http://doi.org/10.1109/ICCVW.2017.196"]}, {"id": "4b850dbf3c818dc287f27f144f870b4f0b08ef09", "title": "Training Generative Reversible Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01610.pdf"], "doi": []}, {"id": "97eabf253570f1fda79a0e217a7bbdb5aec871da", "title": "Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10895.pdf"], "doi": []}, {"id": "fafd0d7dd9c845960bfdc90d87066bdb14d4e3ab", "title": "Disentangling by Factorising", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05983.pdf"], "doi": []}, {"id": "260a57f4d099f3f2a2c2b458e92de15e4e4a47fc", "title": "Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hu_Attribute-Enhanced_Face_Recognition_ICCV_2017_paper.pdf", "https://pure.qub.ac.uk/portal/files/138226397/ICCV2017_Attribute_Enhanced_Face_Recognition_with_Neural_Tensor_Fusion_Networks.pdf", "https://www.research.ed.ac.uk/portal/files/41072997/hu2017neuralTensor.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237666", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.404", "http://doi.org/10.1109/ICCV.2017.404"]}, {"id": "b2504b0b2a7e06eab02a3584dd46d94a3f05ffdf", "title": "Conditional Neural Processes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01613.pdf"], "doi": []}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "b26d5d929cc3c0d14da058961ddd024f4c9690f5", "title": "Robust Conditional Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08657.pdf"], "doi": []}, {"id": "16f48e8b7f1f6c03c888e3f4664ce3fa1261296b", "title": "Steganographic Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05502.pdf"], "doi": []}, {"id": "d80564cea654d11b52c0008891a0fd2988112049", "title": "Semi-supervised Conditional GANs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.05789.pdf"], "doi": []}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "title": "Deep Disguised Faces Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Zhang_Deep_Disguised_Faces_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575272", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00012", "http://doi.org/10.1109/CVPRW.2018.00012"]}, {"id": "e3582dffe5f3466cc5bc9d736934306c551ab33c", "title": "AttGAN: Facial Attribute Editing by Only Changing What You Want", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10678.pdf"], "doi": []}, {"id": "cb2470aade8e5630dcad5e479ab220db94ecbf91", "title": "Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397018", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00062", "http://doi.org/10.1109/MIPR.2018.00062"]}, {"id": "16554e854f1dd6964883d929ef34eb4c1f04e072", "title": "ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579083"]}, {"id": "f79da1632565f10ba4feac93fbb1aa521ba09015", "title": "Performance Evaluation of Image and Video Cloud Services", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622864"]}, {"id": "2cc9e70cd4664533af9bf34b2da7a1c2694616f8", "title": "Tempered Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04374.pdf"], "doi": []}, {"id": "646030fe70672299b099adede5c446115826f4f6", "title": "Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575554"]}, {"id": "6f9873e2a7bc279c4f0a45c1a6e831ef3ba78ae7", "title": "Improving GAN Training via Binarized Representation Entropy (BRE) Regularization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03644.pdf"], "doi": []}, {"id": "6b327af674145a34597986ec60f2a49cff7ed155", "title": "Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.06605.pdf"], "doi": []}, {"id": "ec2027c2dd93e4ee8316cc0b3069e8abfdcc2ecf", "title": "Latent Variable PixelCNNs for Natural Image Modeling", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/252c/2e5e59d7b08887095b272d19dcd76fcf4a82.pdf"], "doi": []}, {"id": "5fd147f57fc087b35650f7f3891d457e4c745d48", "title": "Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08819.pdf"], "doi": []}, {"id": "4273c24df71ec59c0c1cad95342d01cf53bb7d8d", "title": "StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579014"]}, {"id": "bc995457cf5f4b2b5ef62106856571588d7d70f2", "title": "Comparison of Maximum Likelihood and GAN-based training of Real NVPs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05263.pdf"], "doi": []}, {"id": "9aab33ce8d6786b3b77900a9b25f5f4577cea461", "title": "Automatic Semantic Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961739", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.31", "http://doi.org/10.1109/FG.2017.31"]}, {"id": "147b7998526ebbdf64b1662503b378d9f6456ccd", "title": "GENERATIVE ADVERSARIAL NETWORKS FOR IMAGE STEGANOGRAPHY", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/147b/7998526ebbdf64b1662503b378d9f6456ccd.pdf"], "doi": []}, {"id": "065c54829a8d2511adc9122ad183be97ada7a7bc", "title": "Attribute Augmented Convolutional Neural Network for Face Hallucination", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575266"]}, {"id": "341de07abfb89bf78f3a72513c8bce40d654e0a3", "title": "Sparse and Deep Generalizations of the FRAME Model", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4d54/360c1eb3c7f3485ee450e7979aef7ec8019e.pdf"], "doi": []}, {"id": "a9df9f3500d518b1eaa2c450d5cc3b2b8437dd67", "title": "Sliced Wasserstein Distance for Learning Gaussian Mixture Models", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578459"]}, {"id": "81d67fa2f5eb76c9b0afb2d887e95ba78b6e46c9", "title": "Learning Implicit Generative Models with the Method of Learned Moments", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11006.pdf"], "doi": []}, {"id": "0ae192e146431a52d7bb51923e9bdd7292ab12ef", "title": "Multi-Generator Generative Adversarial Nets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02556.pdf"], "doi": []}, {"id": "ff3401d410fe89771be0f528170c4990397c264c", "title": "Structured Uncertainty Prediction Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578672"]}, {"id": "c6437e7fb44f13a5ff610c9daf8fa7ce4a6c1ec3", "title": "The Riemannian Geometry of Deep Generative Models", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575533"]}, {"id": "b4c80df27276660522f8901aa90c129c15611821", "title": "On Detecting Domestic Abuse via Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575463"]}, {"id": "fe030b87e3c985c9dedab130949e2868e3e5e7d5", "title": "Explaining Neural Networks Semantically", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe03/0b87e3c985c9dedab130949e2868e3e5e7d5.pdf"], "doi": []}, {"id": "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "title": "Metric-based Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123334"]}, {"id": "62b90583723174220b26c92bd67f6c422ad75570", "title": "DNA-GAN: LEARNING DISENTANGLED REPRESEN-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/62b9/0583723174220b26c92bd67f6c422ad75570.pdf"], "doi": []}, {"id": "a34e5c66bd553d8a75e13084fb7a81217c21e33b", "title": "Attributes as Operators: Factorizing Unseen Attribute-Object Compositions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09851.pdf"], "doi": []}, {"id": "fd4537b92ab9fa7c653e9e5b9c4f815914a498c0", "title": "One-Sided Unsupervised Domain Mapping", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00826.pdf"], "doi": []}, {"id": "2780f8fc25320f4fb258442ceb790ffe301730fe", "title": "Generative Reversible Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "fac36fa1b809b71756c259f2c5db20add0cb0da0", "title": "Transferring GANs: Generating Images from Limited Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01677.pdf"], "doi": []}, {"id": "d2860bb05f747e4628e95e4d84018263831bab0d", "title": "Learning to Generate Samples from Noise through Infusion Training", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06975.pdf"], "doi": []}, {"id": "80a3ad65623a286c11881b542e3262ebb2733219", "title": "Blind Image Deconvolution using Deep Generative Priors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04073.pdf"], "doi": []}, {"id": "18ec3b37a33db39ac0633677e944cc81be58f7ba", "title": "Cooperative Training of Descriptor and Generator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09408.pdf"], "doi": []}, {"id": "556ca2389246b0a848b578dc824b930e1337a4bc", "title": "Tri-axial Self-Attention for Concurrent Activity Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02817.pdf"], "doi": []}, {"id": "d5c4e3c101041556e00b25c0dcb09716827ed5b3", "title": "Unsupervised Image-to-Image Translation with Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02676.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "1ec59aece51a698bce34f393cf6474b926fd89ad", "title": "Exemplar Guided Unsupervised Image-to-Image Translation", "year": "2018", "pdf": [], "doi": []}, {"id": "8d9067da4ba5c57643ee7a84cd5c5d5674384937", "title": "Sorting out Lipschitz function approximation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05381.pdf"], "doi": []}, {"id": "0ab07d0d6cf8d417e695a43ef4b88bf70b68213a", "title": "Adversarial Learning with Local Coordinate Coding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04895.pdf"], "doi": []}, {"id": "ff83aade985b981fbf2233efbbd749600e97454c", "title": "Towards Understanding Adversarial Learning for Joint Distribution Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01215.pdf"], "doi": []}, {"id": "64a5f474014e3924d3f04c8b44d6a8ed8f6c82da", "title": "Changing the Image Memorability: From Basic Photo Editing to GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03825.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "4a5bd1f2935f9a3c33f1a103a1d43377e61265a0", "title": "Conditional Image-to-Image Translation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578677"]}, {"id": "9f723469b6634a7d08d3b888e23421e873c95617", "title": "Generative Image Inpainting with Contextual Attention", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578675"]}, {"id": "fa3a1b77c105f40199de835a75b4b232ac332f71", "title": "Variational learning across domains with triplet information", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08672.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "6f900e683ea1fc85825a403d1ba2df7875f35bb9", "title": "Joint-VAE: Learning Disentangled Joint Continuous and Discrete Representations", "year": "2018", "pdf": [], "doi": []}, {"id": "7c0c9ab92d49941089979c1e344fe66efc873bdd", "title": "Generative Adversarial Examples", "year": "2018", "pdf": [], "doi": []}, {"id": "d98a36081a434451184fa4becb59bf5ec55f3a1e", "title": "Computational face reader based on facial attribute estimation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.110"]}, {"id": "4131aa28d640d17e1d63ca82e55cc0b280db0737", "title": "COULOMB GANS: PROVABLY OPTIMAL NASH EQUI-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/827c/08151b92dbf8fa307c4e5928340d7294bcff.pdf"], "doi": []}, {"id": "4cb48924acdcc0b20ef05ea5f5e856b081d9b40f", "title": "A Classification-Based Study of Covariate Shift in GAN Distributions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00970.pdf"], "doi": []}, {"id": "e4fb693d8b2755b8e989e0c59b28db3c75591503", "title": "Classification of E-Commerce-Related Images Using Hierarchical Classification with Deep Neural Networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8278089"]}, {"id": "9fb372fd2fb79571de1cc388154d4a3f0547d440", "title": "PBGAN: Partial Binarization of Deconvolution Based Generators", "year": "2018", "pdf": [], "doi": []}, {"id": "99f565df31ef710a2d8a1b606e3b7f5f92ab657c", "title": "Geometry Score: A Method For Comparing Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02664.pdf"], "doi": []}, {"id": "2786a595741c0bdbedbc0e3cc2e4174f784ac776", "title": "Distribution Matching in Variational Inference", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06847.pdf"], "doi": []}, {"id": "96390f95a73a6bd495728b6cd2a97554ef187f76", "title": "Pan Olympus : Sensor Privacy through Utility Aware", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9639/0f95a73a6bd495728b6cd2a97554ef187f76.pdf"], "doi": []}, {"id": "d81dbc2960e527e91c066102aabdaf9eb8b15f85", "title": "Deep Directed Generative Models with Energy-Based Probability Estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.03439.pdf"], "doi": []}, {"id": "8a3bf4d403a39ed33f0fa8cf78dc906d6130595f", "title": "Semantic Image Inpainting with Deep Generative Models", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100211"]}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "7804949c133d7308d828a94a7944d47c1f0ffe67", "title": "Detection of Deep Network Generated Images Using Disparities in Color Components", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07276.pdf"], "doi": []}, {"id": "93ae0e1704b20b89149e3eabce39c7428063e963", "title": "Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578368"]}, {"id": "cf65c2df432cd9dc9e29aca55da4f49d9cafe961", "title": "Spatial Fusion GAN for Image Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05840.pdf"], "doi": []}, {"id": "6903496ee5d4c24ca5f3f18211f406e0ba8442d6", "title": "Multi-Mapping Image-to-Image Translation with Central Biasing Normalization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10050.pdf"], "doi": []}, {"id": "2b507f659b341ed0f23106446de8e4322f4a3f7e", "title": "Deep Identity-aware Transfer of Facial Attributes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05586.pdf"], "doi": []}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"id": "9d8978ee319d671283a90761aaed150c7cc9154b", "title": "Fader Networks: Manipulating Images by Sliding Attributes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00409.pdf"], "doi": []}, {"id": "d3d887aebeeae44cefd5c2bdbb388d9ce109e335", "title": "Image Manipulation with Perceptual Discriminators", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01396.pdf"], "doi": []}, {"id": "0a02184707247a79a236a03f85ab35d99a68be33", "title": "Bidirectional Conditional Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07461.pdf"], "doi": []}, {"id": "c231d8638e8b5292c479d20f7dd387c53e581a1a", "title": "Multi-View Data Generation Without View Supervision", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00305.pdf"], "doi": []}, {"id": "8326d3e57796dad294ab1c14a0688221550098b6", "title": "ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8326/d3e57796dad294ab1c14a0688221550098b6.pdf"], "doi": []}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "40c3f90f0abf842ee6f6009c414fde4f86b82005", "title": "Synchronization Detection and Recovery of Steganographic Messages with Adversarial Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.10365.pdf"], "doi": []}, {"id": "c64a45c2ce84c86e67cf22429d78432aa138317c", "title": "Spatiotemporal Data Fusion for Precipitation Nowcasting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10915.pdf"], "doi": []}, {"id": "174ddb6379b91a0e799e9988d0e522a5af18f91d", "title": "ChatPainter: Improving Text to Image Generation using Dialogue", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08216.pdf"], "doi": []}, {"id": "f83d1726f7a4e164027a3fa44cfe842640907d35", "title": "A Factorial Mixture Prior for Compositional Deep Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07480.pdf"], "doi": []}, {"id": "907fbe706ec14101978a63c6252e0d75e657e8dd", "title": "The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00043.pdf"], "doi": []}, {"id": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"], "doi": []}, {"id": "79815f31f42708fd59da345f8fa79f635a070730", "title": "Autoregressive Quantile Networks for Generative Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05575.pdf"], "doi": []}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "442ee5a3f51ca93a642c20fa69326f3b17367565", "title": "Detection of rail surface defects based on CNN image recognition and classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8323642"]}, {"id": "a7e5a46e47dd21cc9347b913dd3dde2f0ad832ed", "title": "On denoising autoencoders trained to minimise binary cross-entropy", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08487.pdf"], "doi": []}, {"id": "d1697250de6f91d3a3266c1ff0fdce0bf96acfe3", "title": "A C Lassification \u2013 B Ased P Erspective on Gan D Istributions", "year": "2017", "pdf": [], "doi": []}, {"id": "7695ad05116bfdf9a6d106b3ea356a37d41a7c0a", "title": "Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09206.pdf"], "doi": []}, {"id": "ea94d834f912f092618d030f080de8395fe39b3f", "title": "Joint autoencoders : a flexible meta-learning framework", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3027/8a460e2936596b671d20599f2598c4d284ed.pdf"], "doi": []}, {"id": "7da7678882d06a1f93636f58fe89635da5b1dd0c", "title": "EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.07919.pdf"], "doi": []}, {"id": "b6b24dfaf4c9e498ca9b9ee9f82d8d0c5bdb77e9", "title": "Rethinking Feature Distribution for Loss Functions in Image Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579048"]}, {"id": "de60ee528db713d264ffea870b33f8be054fb8c7", "title": "A Classification-Based Perspective on GAN Distributions", "year": "2017", "pdf": [], "doi": []}, {"id": "2d6d4899c892346a9bc8902481212d7553f1bda4", "title": "Neural Face Editing with Intrinsic Image Disentangling SUPPLEMENTARY MATERIAL", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2d6d/4899c892346a9bc8902481212d7553f1bda4.pdf"], "doi": []}, {"id": "e0f828376631b362aa550246c73d85e354126fed", "title": "Disentangling Factors of Variation by Mixing Them", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578456"]}, {"id": "2829c069ff0e6b6e8bcb904c2ba61279434f7980", "title": "NECST: Neural Joint Source-Channel Coding", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bd17/d6ba5525dec8762dbaacf6cc3e0cc3f5ff90.pdf"], "doi": []}, {"id": "1dd3faf5488751c9de10977528ab96be24616138", "title": "Detecting Anomalous Faces with 'No Peeking' Autoencoders", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05798.pdf"], "doi": []}, {"id": "65ec52a3e0a0f6a46fd140ff83bb82d7d02a2d45", "title": "Learning Hierarchical Features from Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08396.pdf"], "doi": []}, {"id": "9557da53ddb8a122281f92a17a2a816acde1b3d8", "title": "Do GAN Loss Functions Really Matter?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09567.pdf"], "doi": []}, {"id": "2a417a16473e2bcb1c98cd7814bc106760925e60", "title": "Image Inpainting for Irregular Holes Using Partial Convolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07723.pdf"], "doi": []}, {"id": "d87ccfc42cf6a72821d357aab0990e946918350b", "title": "Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00370.pdf"], "doi": []}, {"id": "fdaf65b314faee97220162980e76dbc8f32db9d6", "title": "Face recognition using both visible light image and near-infrared image and a deep network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fdaf/65b314faee97220162980e76dbc8f32db9d6.pdf"], "doi": []}, {"id": "c86afba9c77a9b1085ccc6c44c36fa3a1fdb51c5", "title": "New Losses for Generative Adversarial Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01290.pdf"], "doi": []}, {"id": "82821e227683d66543a303f4faddc1376a91a463", "title": "Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8282/1e227683d66543a303f4faddc1376a91a463.pdf"], "doi": []}, {"id": "84e9de36dd7915f9334db5cc1fe567e17d717495", "title": "Fine-Grained Categorization via CNN-Based Automatic Extraction and Integration of Object-Level and Part-Level Features", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.07397.pdf"], "doi": []}, {"id": "f00dd1f092ad93d659070a8e77f00b5902ec74b4", "title": "Inferencing based on unsupervised learning of disentangled representations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02627.pdf"], "doi": []}, {"id": "56bc524d7cc1ff2fad8f27c0414cac437fc2b4f0", "title": "Protest Activity Detection and Perceived Violence Estimation from Social Media Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06204.pdf"], "doi": []}, {"id": "02a97d3cd6c57636ef6f1bb9e3171e832ff8d307", "title": "A Hierarchical Grocery Store Image Dataset With Visual and Semantic Labels", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658240"]}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "4d91926b9291fd4542547f5e974be8c82cf6c822", "title": "A BIOLOGICALLY INSPIRED VISUAL WORKING MEMORY", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e22c/f1ca10c11991c2a43007e37ca652d8f0d814.pdf"], "doi": []}, {"id": "0217fb2a54a4f324ddf82babc6ec6692a3f6194f", "title": "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.03657.pdf"], "doi": []}, {"id": "471908e99d6965f0f6d249c9cd013485dc2b21df", "title": "Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.08446.pdf"], "doi": []}, {"id": "c8855bebdaa985dfc4c1a07e5f74a0e29787e47e", "title": "Multi-label Object Attribute Classification using a Convolutional Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04309.pdf"], "doi": []}, {"id": "486ee9d420fd1eba1006221d3d61931563bc4115", "title": "Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579022"]}, {"id": "6a20f975eb253503bba46a421275d46cf74ee1b9", "title": "Context Embedding Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579003"]}, {"id": "4a57999570a812795a93a6f9395058f575a0e531", "title": "Constraint-Based Visual Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09202.pdf"], "doi": []}, {"id": "4ed0be0b5d67cff63461ba79f2a7928d652cf310", "title": "Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00553.pdf"], "doi": []}, {"id": "e21c45b14d75545d40ed07896f26ec6f766f6a4b", "title": "Fisher GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09675.pdf"], "doi": []}, {"id": "ba60b642a558858325f50d38a345b6bb85114ce1", "title": "Imbalanced Deep Learning by Minority Class Incremental Rectification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10851.pdf"], "doi": []}, {"id": "b362b812ececef21100d7a702447fcf5ab6d4715", "title": "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07543.pdf"], "doi": []}, {"id": "0c2a9a6bee6dfa5240a79c9dc306c2354d3806e1", "title": "On Matching Faces with Alterations due to Plastic Surgery and Disguise", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07318.pdf"], "doi": []}, {"id": "33150902d90e9e5917418da0e91c05d062fa8e05", "title": "Task-Aware Compressed Sensing With Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01284.pdf"], "doi": []}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "8dbf8f3ccf67500b1bfa5cec7225801bcf5cd1be", "title": "Which is the Better Inpainted Image?Training Data Generation Without Any Manual Operations", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1132-0"]}, {"id": "e260847323b48a79bd88dd95a1499cd3053d3645", "title": "Reconstructing perceived faces from brain activations with deep adversarial neural decoding", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/937b/78204a7ac4aac6a8782f29c68322621dc1c2.pdf"], "doi": []}, {"id": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961738", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.30", "http://doi.org/10.1109/FG.2017.30"]}, {"id": "bea185a15d5df7bbfce83bc684c316412703efbb", "title": "PIXELNN: EXAMPLE-BASED IMAGE SYNTHESIS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/bea1/85a15d5df7bbfce83bc684c316412703efbb.pdf"], "doi": []}, {"id": "8681d139d86266642ff5008da05a1b30489fa29f", "title": "Relevance Factor VAE: Learning and Identifying Disentangled Factors", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01568.pdf"], "doi": []}, {"id": "3bf154166f149669ae6bbb2c265c6ced4992f3d4", "title": "Invertibility of Convolutional Generative Networks from Partial Measurements", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3bf1/54166f149669ae6bbb2c265c6ced4992f3d4.pdf"], "doi": []}, {"id": "66e57fe8d2bf08b5783d333c1870591b23008850", "title": "Nonlinear 3D Face Morphable Model", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578865"]}, {"id": "ab3b196c5386f7ec2d05870eeb8872c8b8e33d77", "title": "Unconditional Generative Models", "year": "2017", "pdf": [], "doi": []}, {"id": "501bc80334fd6e429d6fa2da7c81ecb1f03580b6", "title": "SGAN: An Alternative Training of Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579078"]}, {"id": "af6af58ba12920762638e1d0b8310a0d9961b7be", "title": "Sketch-to-Image Generation Using Deep Contextual Completion", "year": "2017", "pdf": [], "doi": []}, {"id": "7d8b1aab662186af200ba581573809452c9c2584", "title": "A Convex Duality Framework for GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11740.pdf"], "doi": []}, {"id": "e58f08ad6e0edd567f217ef08de1701a8c29fcc8", "title": "Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing - and Back", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04062.pdf"], "doi": []}, {"id": "fd37603fe9808f32d53fd417b20ab0a47dbb2d9b", "title": "Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411207"]}, {"id": "424259e9e917c037208125ccc1a02f8276afb667", "title": "Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06433.pdf"], "doi": []}, {"id": "98aa23924e224f6e6cab043fa363f10f4d473c7d", "title": "Compressed Sensing with Deep Image Prior and Learned Regularization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06438.pdf"], "doi": []}, {"id": "a75ee7f4c4130ef36d21582d5758f953dba03a01", "title": "Human face attributes prediction with Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a75e/e7f4c4130ef36d21582d5758f953dba03a01.pdf"], "doi": []}, {"id": "b23254b32e36e7d9782b7a076d6ad7b475d56c45", "title": "Generative Adversarial Image Synthesis with Decision Tree Latent Controller", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578789"]}, {"id": "14a022a3eb8cc9681b1ab075650d462788de1fa0", "title": "GANs for Biological Image Synthesis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04692.pdf"], "doi": []}, {"id": "9cc4abd2ec10e5fa94ff846c5ee27377caf17cf0", "title": "Improved Techniques for GAN based Facial Inpainting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08774.pdf"], "doi": []}, {"id": "59b6ff409ae6f57525faff4b369af85c37a8dd80", "title": "Deep Attribute Driven Image Similarity Learning Using Limited Data", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241593", "http://doi.ieeecomputersociety.org/10.1109/ISM.2017.28", "http://doi.org/10.1109/ISM.2017.28"]}, {"id": "eb72dcf0ba423d0e12d63cd7881f2ac5dfda7984", "title": "Associative Compression Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "e68ef9597613cd2b6cf76e81c13eb061ee468485", "title": "Latent Convolutional Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06284.pdf"], "doi": []}, {"id": "42f8ef9d5ebf969a7e2b4d1eef4b332db562e5d4", "title": "Which Training Methods for GANs do actually Converge?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.04406.pdf"], "doi": []}, {"id": "9eef060f351d2a107bd7eb5b49d67653a4ffa38b", "title": "Attribute-correlated local regions for deep relative attributes learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2f88/d3189723669f957d83ad542ac5c2341c37a5.pdf"], "doi": []}, {"id": "79fc3c10ce0d0f48b25c8cf460048087c97e2e90", "title": "Variational Bi-domain Triplet Autoencoder", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08672.pdf"], "doi": []}, {"id": "baffdff4457b1cd1db06b933a67c4d117eec4dbf", "title": "Facelet-Bank for Fast Portrait Manipulation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578471"]}, {"id": "390dc36d547dbf9bc9774ec8de454e6317a2d170", "title": "InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00193.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "citations": [{"id": "b1c80444ecf42c303dbf65e47bea999af7a172bf", "title": "Exploring generative perspective of convolutional neural networks by learning random field models \u2217", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bea1/3cc5e7b39a05f858f69318b16c398863d610.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "c8dcb7b3c5ed43e61b90b50fedc76568d8e30675", "title": "GUARDING AGAINST ADVERSARIAL DOMAIN SHIFTS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c8dc/b7b3c5ed43e61b90b50fedc76568d8e30675.pdf"], "doi": []}, {"id": "90c8899132396fa1b4c1efd534739cadd5bdca3b", "title": "FR-ANet: A Face Recognition Guided Facial Attribute Classification Network", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16810", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16810/16466"]}, {"id": "9a10845115794117485fc84f9b9e6ada2a7d2b00", "title": "Eye In-painting with Exemplar Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03999.pdf"], "doi": []}, {"id": "57235f22abcd6bb928007287b17e235dbef83347", "title": "Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11145.pdf"], "doi": []}, {"id": "c5b311152a4e611288a77fbb1460eb0fbb049de3", "title": "An Efficient Training Strategy for Face Detector in Specific Scenes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7976440", "http://doi.org/10.1109/ITME.2016.0026"]}, {"id": "00426c770eb74b11bdc63e24c8ae7f1c84c8ea8a", "title": "Fast cosmic web simulations with generative adversarial networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/239a/5a9cbe379e65ec72947c086af97d91e8e926.pdf"], "doi": []}, {"id": "3355aff37b5e4ba40fc689119fb48d403be288be", "title": "Deep Private-Feature Extraction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03151.pdf"], "doi": []}, {"id": "b63041d05b78a66724fbcb2803508999bf885d6b", "title": "Deep Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06114.pdf"], "doi": []}, {"id": "e184ee1c1ad3ea77dee5d8f9329eb2efabd2120a", "title": "Deep Archetypal Analysis", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10799.pdf"], "doi": []}, {"id": "5b3e9cd460746c51607ba2bf8cac439f37d0c5c3", "title": "Learning Generative ConvNets via Multi-grid Modeling and Sampling", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579052"]}, {"id": "231af7dc01a166cac3b5b01ca05778238f796e41", "title": "GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08500.pdf"], "doi": []}, {"id": "b4f58d7fc87a9c276965e604fbe83592bae7f4e5", "title": "ROC-GAN: ROBUST CONDITIONAL GAN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4f5/8d7fc87a9c276965e604fbe83592bae7f4e5.pdf"], "doi": []}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "9ce4541d21ee3511bf3dc55bc3cd01222194d95a", "title": "Face inpainting based on high-level facial attributes", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.05.008"]}, {"id": "7ef0cc4f3f7566f96f168123bac1e07053a939b2", "title": "Triangular Similarity Metric Learning: a Siamese Architecture Approach. ( L'apprentissage de similarit\u00e9 triangulaire en utilisant des r\u00e9seaux siamois)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e735/b8212d8a81909753291d5d06789a917014f8.pdf"], "doi": []}, {"id": "8134b052a9aedd573dd16649a611f68b48e30cb2", "title": "InverseFaceNet: Deep Monocular Inverse Face Rendering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.10956.pdf"], "doi": []}, {"id": "c4f3375dab1886f37f542d998e61d8c30a927682", "title": "BEYOND SHARED HIERARCHIES: DEEP MULTITASK LEARNING THROUGH SOFT LAYER ORDERING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c4f3/375dab1886f37f542d998e61d8c30a927682.pdf"], "doi": []}, {"id": "b612bbd751d94996a02b85829e0b2ac0511350ff", "title": "Learning Representations for Utility and Privacy : An Information-Theoretic Based Approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b612/bbd751d94996a02b85829e0b2ac0511350ff.pdf"], "doi": []}, {"id": "330b3db69f70f01afd674a2b7bce4bb5000bf164", "title": "Learning the Base Distribution in Implicit Generative Models", "year": "2018", "pdf": [], "doi": []}, {"id": "e909b9e0bbfc37d0b99acad5014e977daac7e2bd", "title": "Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10323.pdf"], "doi": []}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "731d33256d42dc4146019954c46c566aa666d7f2", "title": "Partially Shared Multi-task Convolutional Neural Network with Local Constraint for Face Attribute Learning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Partially_Shared_Multi-Task_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578549", "http://doi.org/10.1109/CVPR.2018.00451"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "42a48ce71daa2d05c698d2e9e90335320ddd9841", "title": "General-to-specific learning for facial attribute classification in the wild", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2018.09.003"]}, {"id": "8bff7353fa4f75629ea418ca8db60477a751db93", "title": "Invariance of Weight Distributions in Rectified MLPs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09090.pdf"], "doi": []}, {"id": "d979dbc55f73304a5d839079c070062e0b3ddbc5", "title": "Deep Learning Markov Random Field for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.07230.pdf"], "doi": []}, {"id": "a90226c41b79f8b06007609f39f82757073641e2", "title": "\u0392-vae: Learning Basic Visual Concepts with a Constrained Variational Framework", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a902/26c41b79f8b06007609f39f82757073641e2.pdf"], "doi": []}, {"id": "385750bcf95036c808d63db0e0b14768463ff4c6", "title": "Autoencoding beyond pixels using a learned similarity metric", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.09300.pdf"], "doi": []}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "c9b90cf9cdd901bd3072d6dfd8ddc523c55944b1", "title": "Adversarial Generator-Encoder Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c9b9/0cf9cdd901bd3072d6dfd8ddc523c55944b1.pdf"], "doi": []}, {"id": "39d08fa8b028217384daeb3e622848451809a422", "title": "Variational Approaches for Auto-Encoding Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04987.pdf"], "doi": []}, {"id": "0b783e750da34c61ea404be8bc40788fd66c867d", "title": "Generative Autotransporters", "year": "2017", "pdf": [], "doi": []}, {"id": "47617c126442fb041f8aab30a8c0c5d2a56d357b", "title": "Phase Retrieval Under a Generative Prior", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04261.pdf"], "doi": []}, {"id": "b04d4b1e8b510180726f49a66dbaaf23c9ef64a0", "title": "Introspective Generative Modeling: Decide Discriminatively.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07820.pdf"], "doi": []}, {"id": "08809165154c9c557d368cddfa3ae66ccaceaed9", "title": "Taming VAEs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.00597.pdf"], "doi": []}, {"id": "372bc106c61e7eb004835e85bbfee997409f176a", "title": "Coupled Generative Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07536.pdf"], "doi": []}, {"id": "c05ae45c262b270df1e99a32efa35036aae8d950", "title": "Predicting Facial Attributes in Video Using Temporal Coherence and Motion-Attention", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354120", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00017", "http://doi.org/10.1109/WACV.2018.00017"]}, {"id": "e83753a708e3bc8072851fe97aa6929515c518ec", "title": "Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546745"]}, {"id": "40638a7a9e0a0499af46053c6efc05ce0b088a28", "title": "On the convergence properties of GAN training", "year": "2018", "pdf": [], "doi": []}, {"id": "cd5ef3aeebc231e2c833ef55cf0571aa990c5ff8", "title": "IMAGE QUALITY ASSESSMENT TECHNIQUES IMPROVE TRAINING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cd5e/f3aeebc231e2c833ef55cf0571aa990c5ff8.pdf"], "doi": []}, {"id": "346578304ff943b97b3efb1171ecd902cb4f6081", "title": "Generative Multi-Adversarial Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01673.pdf"], "doi": []}, {"id": "a562180056cc4906d6d5ef9d2b4ed098d8512317", "title": "Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11346.pdf"], "doi": []}, {"id": "6211ba456908d605e85d102d63b106f1acb52186", "title": "Visual Interpretability forDeepLearning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6211/ba456908d605e85d102d63b106f1acb52186.pdf"], "doi": []}, {"id": "fed9e971e042b40cc659aca6e338d79dc1d4b59c", "title": "GROUPING-BY-ID: GUARDING AGAINST ADVERSAR-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fed9/e971e042b40cc659aca6e338d79dc1d4b59c.pdf"], "doi": []}, {"id": "1a8a2539cffba25ed9a7f2b869ebb737276ccee1", "title": "Pros and Cons of GAN Evaluation Measures", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03446.pdf"], "doi": []}, {"id": "2c94682176f320f406f78c484f9135f085d1c0f0", "title": "Geometric Enclosing Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "2bee6a78bbc3222a76cf1da0217567277aa3ed5f", "title": "Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10813.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "7fa62c091a14830ae256dc00b512f7d4b4cf5b94", "title": "Stabilizing GAN Training with Multiple Random Projections", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7fa6/2c091a14830ae256dc00b512f7d4b4cf5b94.pdf"], "doi": []}, {"id": "df87a13f5c175217b9414bb1958c0fe1a28028c1", "title": "Learning Disentangled Joint Continuous and Discrete Representations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00104.pdf"], "doi": []}, {"id": "b5097e8098d1ab1cc76b5d1baf693d61fcfee46a", "title": "A General and Adaptive Robust Loss Function.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b509/7e8098d1ab1cc76b5d1baf693d61fcfee46a.pdf"], "doi": []}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "37381718559f767fc496cc34ceb98ff18bc7d3e1", "title": "Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3738/1718559f767fc496cc34ceb98ff18bc7d3e1.pdf"], "doi": []}, {"id": "06be17bcc4136476855fc594759dddc6f8b6150f", "title": "MMGAN: Manifold Matching Generative Adversarial Network for Generating Images", "year": "2017", "pdf": [], "doi": []}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "f0483ebab9da2ba4ae6549b681cf31aef2bb6562", "title": "3 C-GAN : A N CONDITION-CONTEXT-COMPOSITE GENERATIVE ADVERSARIAL NETWORKS FOR GENERATING IMAGES SEPARATELY", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f048/3ebab9da2ba4ae6549b681cf31aef2bb6562.pdf"], "doi": []}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "2727927c7493cef9785b3a06a38f5c1ce126fc23", "title": "Semi-supervised FusedGAN for Conditional Image Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05551.pdf"], "doi": []}, {"id": "3e832919bf4156dd2c7c191acbbc714535f1d8c2", "title": "LOMIT: LOCAL MASK-BASED IMAGE-TO-IMAGE TRANSLATION VIA PIXEL-WISE HIGHWAY ADAPTIVE INSTANCE NORMALIZATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3e83/2919bf4156dd2c7c191acbbc714535f1d8c2.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": "b5a369ebcb2e9a8169b71791d77e7a3ad992870f", "title": "Synthesizing Programs for Images using Reinforced Adversarial Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01118.pdf"], "doi": []}, {"id": "09137e3c267a3414314d1e7e4b0e3a4cae801f45", "title": "Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06078.pdf"], "doi": []}, {"id": "c5102d940cd249df5ffa084a1b8e1bc5a75cd769", "title": "Disentangled Representation Learning for Stylistic Variation in Neural Language Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c510/2d940cd249df5ffa084a1b8e1bc5a75cd769.pdf"], "doi": []}, {"id": "d7fe2a52d0ad915b78330340a8111e0b5a66513a", "title": "Photo-to-Caricature Translation on Faces in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10735.pdf"], "doi": []}, {"id": "ec3eb92b9a56b1fa84b127b8acc980555cd1f2e0", "title": "Channel-Recurrent Variational Autoencoders", "year": "2017", "pdf": [], "doi": []}, {"id": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "1450296fb936d666f2f11454cc8f0108e2306741", "title": "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05192.pdf"], "doi": []}, {"id": "35800a537017803dd08274710388734db66b54f0", "title": "Sliced Wasserstein Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02631.pdf"], "doi": []}, {"id": "e1740c8a562901ac1b94c78b33c4416500cedebc", "title": "JOINT-VAE: LEARNING DISENTANGLED JOINT CON-", "year": "2018", "pdf": [], "doi": []}, {"id": "f792f75f6d2bf265569d4e63dd139c4d04ec7fdb", "title": "Introspective Neural Networks for Generative Modeling", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Lazarow_Introspective_Neural_Networks_ICCV_2017_paper.pdf", "http://pages.ucsd.edu/~ztu/publication/iccv17_inng.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237564", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.302", "http://doi.org/10.1109/ICCV.2017.302"]}, {"id": "72a6044a0108e0f8f1e68cd70ada46c81a416324", "title": "Improved Training of Generative Adversarial Networks Using Representative Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09195.pdf"], "doi": []}, {"id": "db0d33590dc15de2d30cf0407b7a26ae79cd51b5", "title": "Deep Probabilistic Modeling of Natural Images using a Pyramid Decomposition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/db0d/33590dc15de2d30cf0407b7a26ae79cd51b5.pdf"], "doi": []}, {"id": "34a4c733bc2b53253dbebe67f1af83b969c2e657", "title": "Learning Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain", "year": "2017", "pdf": [], "doi": []}, {"id": "bb97664df153ac563e46ec2233346129cafe601b", "title": "A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05611.pdf"], "doi": []}, {"id": "2bff9e02dd5d5ccab39ffb024620655166b151b5", "title": "Universite\u0301 de Montre\u0301al Learning to sample from noise with deep generative models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2bff/9e02dd5d5ccab39ffb024620655166b151b5.pdf"], "doi": []}, {"id": "56f5005c4be6f816f6f43795cc4825d798cd53ef", "title": "GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium", "year": "2017", "pdf": [], "doi": []}, {"id": "551b75dd57829b584de5f51b63426efac81018db", "title": "Recision T Raining", "year": "2017", "pdf": [], "doi": []}, {"id": "c074d5a645e1554faf0383282c37af971c5441d8", "title": "Mixture Density Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00152.pdf"], "doi": []}, {"id": "dfcb4773543ee6fbc7d5319b646e0d6168ffa116", "title": "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.04722.pdf"], "doi": []}, {"id": "a47ac8569ab1970740cff9f1643f77e9143a62d4", "title": "Associative Compression Networks for Representation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02476.pdf"], "doi": []}, {"id": "e0515dc0157a89de48e1120662afdd7fe606b544", "title": "Perception Science in the Age of Deep Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e051/5dc0157a89de48e1120662afdd7fe606b544.pdf"], "doi": []}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "a91fd02ed2231ead51078e3e1f055d8be7828d02", "title": "The Robust Manifold Defense: Adversarial Training using Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09196.pdf"], "doi": []}, {"id": "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "title": "Compare and Contrast : Learning Prominent Differences in Relative Attributes by", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a6b/ba2e81d5fb3c0fd0e6b757cf50ba7bf8e924.pdf"], "doi": []}, {"id": "6b2db002cbc5312e4796de4d4b14573df2c01648", "title": "Learning Hierarchical Features from Deep Generative Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6b2d/b002cbc5312e4796de4d4b14573df2c01648.pdf"], "doi": []}, {"id": "26690f2548c6dbf630de202b40dec417b20c9b6c", "title": "Variational Inference of Disentangled Latent Concepts from Unlabeled Observations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00848.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "84c35fc21db3bcd407a4ffb009912b6ac5a47e3c", "title": "MGAN: TRAINING GENERATIVE ADVERSARIAL NETS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/84c3/5fc21db3bcd407a4ffb009912b6ac5a47e3c.pdf"], "doi": []}, {"id": "e9afb44fa1bf048e90d68f755945bc2b81642239", "title": "Data-Driven Geometric Face Image Smilization Featuring Moving Least Square Based Deformation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966747", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.86", "http://doi.org/10.1109/BigMM.2017.86"]}, {"id": "d9ca4c9b35b5a3eac4229e5e767caff339ab1641", "title": "Recovering Faces From Portraits with Auxiliary Facial Attributes", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8659142"]}, {"id": "629093211c6ef089fe53680472c147af9af678d4", "title": "SmileNet: Registration-Free Smiling Face Detection In The Wild", "year": "2017", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36405/Jang%20SmileNet%20Registration-Free%202018%20Published.pdf?sequence=1", "https://www.cl.cam.ac.uk/~hg410/JangEtAl_ICCVW2017.pdf", "https://www.repository.cam.ac.uk/bitstream/handle/1810/267848/JangEtAl-ICCVW-2017-final.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265396", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.186", "http://doi.org/10.1109/ICCVW.2017.186"]}, {"id": "92e5708ed3b622ca1f0f6ac28ffd6e789c528cdf", "title": "Adversarial Inversion : Inverse Graphics with Adversarial Priors", "year": "2017", "pdf": [], "doi": []}, {"id": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without Face Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "f580b0e1020ad67bdbb11e8d99a59c21a8df1e7d", "title": "Compressed Sensing using Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03208.pdf"], "doi": []}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "7689d23a22682c92bdf9a1df975fa2cdd24f1b87", "title": "MMD with Kernel Learning In practice we use finite samples from distributions to estimate", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7689/d23a22682c92bdf9a1df975fa2cdd24f1b87.pdf"], "doi": []}, {"id": "2d2102d3fe127444e203a2ab11c2b3d5f56874cc", "title": "Wasserstein Auto-Encoders", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.01558.pdf"], "doi": []}, {"id": "708f4787bec9d7563f4bb8b33834de445147133b", "title": "Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_Wavelet-SRNet_A_Wavelet-Based_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237449", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.187", "http://doi.org/10.1109/ICCV.2017.187"]}, {"id": "318c4c25d86511690cc5df7b041a6392e8cc4ea8", "title": "Fashion-Gen: The Generative Fashion Dataset and Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08317.pdf"], "doi": []}, {"id": "db1a9b8d8ce9a5696a96f8db4206b6f72707730e", "title": "Cross-Modal Facial Attribute Recognition with Geometric Features", "year": "2017", "pdf": ["https://www.jventura.net/sites/default/files/bradley_hfr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961838", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.127", "http://doi.org/10.1109/FG.2017.127"]}, {"id": "8ea9093542075bd8cc4928a4c671a95f363c61ef", "title": "Sliced-Wasserstein Autoencoder : An Embarrassingly Simple Generative Model", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8ea9/093542075bd8cc4928a4c671a95f363c61ef.pdf"], "doi": []}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "b7bf1fead0b966de955b33b024fe84866be42695", "title": "C V ] 1 0 N ov 2 01 8 Multi-label Object Attribute Classification using a Convolutional Neural Network", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b7bf/1fead0b966de955b33b024fe84866be42695.pdf"], "doi": []}, {"id": "9a62a3b6894aeadf0043fc42b6419c062ccc66d0", "title": "Neural Joint Source-Channel Coding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07557.pdf"], "doi": []}, {"id": "729405648886d51d441351dc51ee47cfe53bcaf0", "title": "ChainGAN: A sequential approach to GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08081.pdf"], "doi": []}, {"id": "a8895ffa0b60d1456539f1c6bc995bc7c83a9613", "title": "Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/a889/5ffa0b60d1456539f1c6bc995bc7c83a9613.pdf"], "doi": []}, {"id": "4a45b8f8decc178305af06d758ac7428a9070fad", "title": "Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.10151.pdf"], "doi": []}, {"id": "d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576", "title": "Neural Face Editing with Intrinsic Image Disentangling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04131.pdf"], "doi": []}, {"id": "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579001"]}, {"id": "2a142bad9ad28ae70ad399b3962d51c16a2d1289", "title": "How Polarized Have We Become? A Multimodal Classification of Trump Followers and Clinton Followers", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00617.pdf"], "doi": []}, {"id": "c9d7219d54eccb9e49b72044d805e103fe17ba80", "title": "Towards Information-Seeking Agents", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02605.pdf"], "doi": []}, {"id": "b8942497abfc1025b3961d3e62bd326b829b068d", "title": "Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578751"]}, {"id": "1d49ee6afb82b5fbacf69628f52e76dc33341643", "title": "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578362"]}, {"id": "2da1a80955df1612766ffdf63916a6a374780161", "title": "Generating steganographic images via adversarial training", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00371.pdf"], "doi": []}, {"id": "0ee737085af468f264f57f052ea9b9b1f58d7222", "title": "SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08370.pdf"], "doi": []}, {"id": "34558af5df236172cd99162057450b81f1ccba1d", "title": "Probabilistic Semantic Inpainting with Pixel Constrained CNNs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03728.pdf"], "doi": []}, {"id": "e6ca412a05002b51d358c2e3061913c3dab6b810", "title": "MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10580.pdf"], "doi": []}, {"id": "250449a9827e125d6354f019fc7bc6205c5fd549", "title": "Adversarial Reconstruction Loss", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2504/49a9827e125d6354f019fc7bc6205c5fd549.pdf"], "doi": []}, {"id": "b19f24ec92388513d1516d71292559417c776006", "title": "CAUSALGAN: LEARNING CAUSAL IMPLICIT GENER-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b19f/24ec92388513d1516d71292559417c776006.pdf"], "doi": []}, {"id": "d7080ad3381ff613f7445e8f8ac6aec0e776e79b", "title": "Compare and Contrast: Learning Prominent Visual Differences", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00112.pdf"], "doi": []}, {"id": "e37bde2765c0869982c48a7bbd139d0c63246fa6", "title": "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04120.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "189eedfc81ee47b2b44caf8bfe816726697ba421", "title": "Facial Attributes Guided Deep Sketch-to-Photo Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347106", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00006", "http://doi.org/10.1109/WACVW.2018.00006"]}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "5bbf9a1dd48c9d388f791ed0627f010c3f5b6d64", "title": "Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01833.pdf"], "doi": []}, {"id": "075f0ca63dc0eb24b537125a983c28d61678fb2e", "title": "Diversity Regularized Adversarial Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10824.pdf"], "doi": []}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "5da53a17165fcc64e8fb6e9ca532bfb6d95ff622", "title": "RSCM: Region Selection and Concurrency Model for Multi-Class Weather Recognition", "year": "2017", "pdf": ["http://www.cse.cuhk.edu.hk/~leojia/papers/rscm_pami17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7904720", "http://doi.org/10.1109/TIP.2017.2695883", "https://www.ncbi.nlm.nih.gov/pubmed/28436867", "https://www.wikidata.org/entity/Q38823329"]}, {"id": "a9090748223ea0932d075a2eb5615ea48bb24cc0", "title": "On Latent Distributions Without Finite Mean in Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01670.pdf"], "doi": []}, {"id": "120adede81dc6b3bfcb4cd276f0b73cc58a96c1a", "title": "PixelCNN Models with Auxiliary Variables for Natural Image Modeling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08185.pdf"], "doi": []}, {"id": "7b6f0c4b22aee0cb4987cba9df121d4076fac5a5", "title": "On Learning 3D Face Morphable Model from In-the-wild Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09560.pdf"], "doi": []}, {"id": "a66d2c8220d53742ec240ed3e77b8f81a0d72531", "title": "TzK: Flow-Based Conditional Generative Model", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01893.pdf"], "doi": []}, {"id": "5a4a53339068eebd1544b9f430098f2f132f641b", "title": "Hierarchical Disentangled Representations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e3ba/139c5a739f5c27d2cb7e0f93e76daddcee66.pdf"], "doi": []}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "9941a408ae031d1254bbc0fe7a63fac5f85fe347", "title": "Neural Processes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01622.pdf"], "doi": []}, {"id": "308898a6bcb180f8fde1901a89e8baa213eb4954", "title": "MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08484.pdf"], "doi": []}, {"id": "404c7839afe2fec48a06f83d2a532c05ad8ba0d3", "title": "Vehicle Classification using Transferable Deep Neural Network Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/404c/7839afe2fec48a06f83d2a532c05ad8ba0d3.pdf"], "doi": []}, {"id": "da13a0dbcea87e032acb6b1ce64f7cb778f39612", "title": "Disentangling Disentanglement in Variational Auto-Encoders", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02833.pdf"], "doi": []}, {"id": "8392640c275cab9bfbf6b35eaf4556618745b118", "title": "Deep Multimodality Model for Multi-task Multi-view Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08723.pdf"], "doi": []}, {"id": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.pdf"], "doi": []}, {"id": "cfd37181201c886b591c30869af8c7f39cd7d22f", "title": "Graphical Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03429.pdf"], "doi": []}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "23fd82c04852b74d655015ff0876e6c5defc6e61", "title": "Deep-based Ingredient Recognition for Cooking Recipe Retrieval", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2964315"]}, {"id": "784a83437b3dba49c0d7ccc10ac40497b84661a5", "title": "Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Kaneko_Generative_Attribute_Controller_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Kaneko_Generative_Attribute_Controller_2017_CVPR_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100224", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.741", "http://doi.org/10.1109/CVPR.2017.741"]}, {"id": "76cb2ecc96f02b1d8a7a0d1681fbb55367a4b765", "title": "Learning Object States from Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76cb/2ecc96f02b1d8a7a0d1681fbb55367a4b765.pdf"], "doi": []}, {"id": "4d3cbc5799d7963477da279dae9a08ac4d459157", "title": "Deep Learning for Nonlinear Diffractive Imaging", "year": "2018", "pdf": [], "doi": []}, {"id": "619a5c54981238fd9c31300c5a45857338742d32", "title": "An Introduction to Image Synthesis with Generative Adversarial Nets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04469.pdf"], "doi": []}, {"id": "fa60521dabd2b64137392b4885e4d989f4b86430", "title": "Physics-Based Generative Adversarial Models for Image Restoration and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00605.pdf"], "doi": []}, {"id": "a101de23d08350011890f851d4f73ba8f39259c8", "title": "Multi-Task Zipping via Layer-wise Neuron Sharing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09791.pdf"], "doi": []}, {"id": "b8658fc3b17e75afce025bcbb161dd02e7004b1f", "title": "Deep Mesh Projectors for Inverse Problems", "year": "2018", "pdf": [], "doi": []}, {"id": "69adf2f122ff18848ff85e8de3ee3b2bc495838e", "title": "Arbitrary Facial Attribute Editing: Only Change What You Want", "year": "2017", "pdf": [], "doi": []}, {"id": "6baaa8b763cc5553715766e7fbe7abb235fae33c", "title": "Facial Attributes Classification Using Multi-task Representation Learning", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Ehrlich_Facial_Attributes_Classification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789589", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.99", "http://doi.org/10.1109/CVPRW.2016.99"]}, {"id": "7b058f57d40925e255f88648e9bd41c6aaf1c37b", "title": "Virtual Conditional Generative Adversarial Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09822.pdf"], "doi": []}, {"id": "257e61e6b38ae23b7ddce9907c05b0e78be4d79d", "title": "The LORACs prior for VAEs: Letting the Trees Speak for the Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06891.pdf"], "doi": []}, {"id": "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "title": "Are facial attributes adversarially robust?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05411.pdf"], "doi": []}, {"id": "58108d7ddb79dcdab8c403f0dea6f239058be0d9", "title": "Improving the Visual Quality of Generative Adversarial Network (GAN)-Generated Images Using the Multi-Scale Structural Similarity Index", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451296"]}, {"id": "544cf61103ac01eacb6d41f4d35ee1cf89167db1", "title": "Assessing Generative Models via Precision and Recall", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00035.pdf"], "doi": []}, {"id": "c86e6ed734d3aa967deae00df003557b6e937d3d", "title": "Generative Adversarial Networks with Decoder-Encoder Output Noise", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03923.pdf"], "doi": []}, {"id": "fc3e097ea7dd5daa7d314ecebe7faad9af5e62fb", "title": "Variational Inference and Model Selection with Generalized Evidence Bounds", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fc3e/097ea7dd5daa7d314ecebe7faad9af5e62fb.pdf"], "doi": []}, {"id": "7a16f37ecccca4f9703ce190dc596149b4ccc8d2", "title": "A Deep Cascade Network for Unaligned Face Attribute Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03851.pdf"], "doi": []}, {"id": "48a62c91794c55aa3a81acaca77de52753a854b0", "title": "Direct Optimization through arg max for Discrete Variational Auto-Encoder", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02867.pdf"], "doi": []}, {"id": "8bddd0afd064e2d45ab6cf9510f2631f7438c17b", "title": "Outlier Detection using Generative Models with Theoretical Performance Guarantees", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11335.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "66436e96aafa7abd3b0700e8409dbb360775a9b8", "title": "Considering Race a Problem of Transfer Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638327"]}, {"id": "a4ee9f089ab9a48a6517a6967281247339a51747", "title": "Resembled Generative Adversarial Networks: Two Domains with Similar Attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00947.pdf"], "doi": []}, {"id": "07a8a4b8f207b2db2a19e519027f70cd1c276294", "title": "Pixel Recursive Super Resolution", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00783.pdf"], "doi": []}, {"id": "0700d36427b3a6cb6223a639ffea11570400ab25", "title": "Doing the Best We Can with What We Have: Multi-Label Balancing with Selective Learning for Attribute Prediction", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16962", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16962/16273"]}, {"id": "21ae4ed57d395aba2158a4f86e93935be66dea20", "title": "Wasserstein Introspective Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578488"]}, {"id": "8d6d0fdf4811bc9572326d12a7edbbba59d2a4cc", "title": "SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02531.pdf"], "doi": []}, {"id": "654ad3b6f7c6de7184a9e8eec724e56274f27e3f", "title": "Alternating Back-Propagation for Generator Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.08571.pdf"], "doi": []}, {"id": "6503c617db449861b96043b2bc892a1b4cb40a95", "title": "Learning the Base Distribution in Implicit Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04357.pdf"], "doi": []}, {"id": "e8ab6ed88fecfdc936c44bc7a73e00a1eaf17f63", "title": "Attributes in Multiple Facial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373846"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "3654e8d4f55df2dd12c0cdc37150a8a989b0bc74", "title": "Automatic classification of refrigerator using doubly convolutional neural network with jointly optimized classification loss and similarity loss", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3654/e8d4f55df2dd12c0cdc37150a8a989b0bc74.pdf"], "doi": []}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "8191f76d9df5c59186859c4834026c8e0fb42922", "title": "Deep Semantic Face Deblurring", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578960"]}, {"id": "e7ad380496ccc2e65486c2158589ca9b009cc386", "title": "Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Image Translation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8492399"]}, {"id": "4b8903b4eb3a60c0fb01c229e3192a5f9159d460", "title": "LOG HYPERBOLIC COSINE LOSS IMPROVES VARIA-", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4b89/03b4eb3a60c0fb01c229e3192a5f9159d460.pdf"], "doi": []}, {"id": "3f6a6050609ba205ec94b8af186a9dca60a8f65e", "title": "Harmonizing Maximum Likelihood with Gans", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3f6a/6050609ba205ec94b8af186a9dca60a8f65e.pdf"], "doi": []}, {"id": "2d42b5915ca18fdc5fa3542bad48981c65f0452b", "title": "Generalization and Equilibrium in Generative Adversarial Nets (GANs)", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00573.pdf"], "doi": []}, {"id": "d50c6d22449cc9170ab868b42f8c72f8d31f9b6c", "title": "Dynamic MultiTask Learning with Convolutional Neural Network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d50c/6d22449cc9170ab868b42f8c72f8d31f9b6c.pdf"], "doi": []}, {"id": "7c2174a02f355a00f1fd5aac6dd62c84a919a2d1", "title": "Normal Residual Blocks Albedo Residual Blocks Light Estimator SH light Normal Conv . Albedo Conv . Conv . Normal Albedo Shading Image Recon", "year": "2017", "pdf": [], "doi": []}, {"id": "a8db91308f59bc9452e87fc553eecea67632c443", "title": "Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation", "year": "2017", "pdf": [], "doi": []}, {"id": "70f3d3d9a7402a0f62a5646a16583c6c58e3b07a", "title": "An Architecture for Deep, Hierarchical Generative Models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.04739.pdf"], "doi": []}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"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": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}, {"id": "9063b17ccfdf73fc789d01d3c44c451244638528", "title": "Detecting Both Machine and Human Created Fake Face Images In the Wild", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267367"]}, {"id": "485f8b28dcb7a5ffc98beb49fcbb50cf0a0b6331", "title": "A Latent Space Understandable Generative Adversarial Network: SelfExGAN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227390", "http://doi.org/10.1109/DICTA.2017.8227390"]}, {"id": "de390a143720e697bc71c3727633b155bf25a2c1", "title": "High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/de39/0a143720e697bc71c3727633b155bf25a2c1.pdf"], "doi": []}, {"id": "22d51400424c93eebc136213d51c1aebc9c1f715", "title": "Learning Implicit Generative Models by Teaching Explicit Ones", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03870.pdf"], "doi": []}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "53275aea89844c503daf8e4d0864764201def8f3", "title": "Learning deep representations by mutual information estimation and maximization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06670.pdf"], "doi": []}, {"id": "e7263a21c0bf2c146e1b8a13b8ad518286a55159", "title": "Model Cards for Model Reporting", "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287596"]}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "40a63746a710baf4a694fd5a4dd8b5a3d9fc2846", "title": "Invertible Conditional GANs for image editing", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06355.pdf"], "doi": []}, {"id": "b1ffd13e8f68401a603eea9806bc37e396a3c77d", "title": "Face Generation with Conditional Generative Adversarial Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b1ff/d13e8f68401a603eea9806bc37e396a3c77d.pdf"], "doi": []}, {"id": "788a3faa14ca191d7f187b812047190a70798428", "title": "Interpretable Set Functions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00050.pdf"], "doi": []}, {"id": "0677dd5377895b3c61cea0e6a143f38b84f1ebd7", "title": "Multimedia super-resolution via deep learning: A survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.09077.pdf"], "doi": []}, {"id": "e8c6853135856515fc88fff7c55737a292b0a15b", "title": "BoxFlow: Unsupervised Face Detector Adaptation from Images to Videos", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961758", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.46", "http://doi.org/10.1109/FG.2017.46"]}, {"id": "12417ed7ae81fb4e6c07f501ace9ea463349481b", "title": "Pairwise Augmented GANs with Adversarial Reconstruction Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04920.pdf"], "doi": []}, {"id": "cc4bc9f3df2d1395bb2eed084c01aa7c40975cf0", "title": "Unsupervised learning of object frames by dense equivariant image labelling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02932.pdf"], "doi": []}, {"id": "b22b4817757778bdca5b792277128a7db8206d08", "title": "SCAN: Learning Hierarchical Compositional Visual Concepts", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.03389.pdf"], "doi": []}, {"id": "8783bb81f31d66d824f36c6fb6dd2b6b3c0f2021", "title": "Unsupervised Discovery of Object Landmarks as Structural Representations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578383"]}, {"id": "bc17c2075d7f7bc414acc00a88ff5a464eedaebe", "title": "Solving Bilinear Inverse Problems using Deep Generative Priors", "year": "2018", "pdf": [], "doi": []}, {"id": "6066e13aea80f64b6ad1415cfc3839c1f8590c04", "title": "Grouping-By-ID : Guarding Against Adversarial Domain Shifts", "year": "2017", "pdf": [], "doi": []}, {"id": "f1aa120fb720f6cfaab13aea4b8379275e6d40a2", "title": "InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f1aa/120fb720f6cfaab13aea4b8379275e6d40a2.pdf"], "doi": []}, {"id": "7f6cd03e3b7b63fca7170e317b3bb072ec9889e0", "title": "A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09359.pdf"], "doi": []}, {"id": "91ddd01e983336731dce6640d66242409e6d5430", "title": "High-Resolution Deep Convolutional Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06491.pdf"], "doi": []}, {"id": "14defe2727fa6793132b6c419ff2ebc97a765a7c", "title": "Complex-Valued Neural Networks for Privacy Protection", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09546.pdf"], "doi": []}, {"id": "0ad4a814b30e096ad0e027e458981f812c835aa0", "title": "Leveraging mid-level deep representations for predicting face attributes in the wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.01827.pdf"], "doi": []}, {"id": "fa32b29e627086d4302db4d30c07a9d11dcd6b84", "title": "Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network", "year": "2018", "pdf": ["http://www.public.asu.edu/~swang187/publications/WACV18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354123", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00019", "http://doi.org/10.1109/WACV.2018.00019"]}, {"id": "69c8b0ec77d3164df2069a5133780a36ec8e91ad", "title": "Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09312.pdf"], "doi": []}, {"id": "021e008282714eaefc0796303f521c9e4f199d7e", "title": "NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354319", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00215", "http://doi.org/10.1109/WACV.2018.00215"]}, {"id": "d5cf6a02f8308e948e3bcd1fd1ca660ea8ea8921", "title": "G ENERATIVE NETWORKS AS INVERSE PROBLEMS WITH SCATTERING TRANSFORMS", "year": "", "pdf": ["https://pdfs.semanticscholar.org/d5cf/6a02f8308e948e3bcd1fd1ca660ea8ea8921.pdf"], "doi": []}, {"id": "6789bddbabf234f31df992a3356b36a47451efc7", "title": "Unsupervised Generation of Free-Form and Parameterized Avatars.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6789/bddbabf234f31df992a3356b36a47451efc7.pdf"], "doi": []}, {"id": "8818dafda0cf230731ac2f962d8591c89a9fac09", "title": "xGEMs: Generating Examplars to Explain Black-Box Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08867.pdf"], "doi": []}, {"id": "cfcf66e4b22dc7671a5941e94e9d4afae75ba2f8", "title": "The Cramer Distance as a Solution to Biased Wasserstein Gradients", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10743.pdf"], "doi": []}, {"id": "bb9a697548b8f3f9f2211228a907a8763d2a7845", "title": "Neural Proximal Gradient Descent for Compressive Imaging", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03963.pdf"], "doi": []}, {"id": "eef29a4fef85c7ed8acde9ca42f8f09d944f361d", "title": "Learning to Super-Resolve Blurry Face and Text Images", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv2017_gan_super_deblur.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Xu_Learning_to_Super-Resolve_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237298", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.36", "http://doi.org/10.1109/ICCV.2017.36"]}, {"id": "4fec382efed4e08a36fafa3710b97f0b20de1ebe", "title": "BINARIZED REPRESENTATION ENTROPY (BRE) REGULARIZATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4fec/382efed4e08a36fafa3710b97f0b20de1ebe.pdf"], "doi": []}, {"id": "799322fc525964889afbfde27db1fcef9feb3d61", "title": "Training Deep Neural Network in Limited Precision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.05486.pdf"], "doi": []}, {"id": "8699268ee81a7472a0807c1d3b1db0d0ab05f40d", "title": "Channel-Recurrent Autoencoding for Image Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.03729.pdf"], "doi": []}, {"id": "31996925c87d8306401a970fe10e4c0f9123d2a5", "title": "Disentangling Latent Factors with Whitening", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03444.pdf"], "doi": []}, {"id": "cfcb4d0d9ba7eb86f068c4fe0f9e6676a37481bc", "title": "Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w18/Di_Max-Boost-GAN_Max_Operation_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265349", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.140", "http://doi.org/10.1109/ICCVW.2017.140"]}, {"id": "912475e1be5c327ab25eda51d77de141ac5f4ea7", "title": "Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578714"]}, {"id": "4e97b53926d997f451139f74ec1601bbef125599", "title": "Discriminative Regularization for Generative Models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03220.pdf"], "doi": []}, {"id": "3b6e90afe6b8dd28b3ac67e4b6c34dc4faa17aa8", "title": "Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-019-01154-8"]}, {"id": "1c44b632bcd6494f4cfc41c70ed53d93f72473cc", "title": "Generative Temporal Models with Spatial Memory for Partially Observed Environments", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09401.pdf"], "doi": []}, {"id": "b4282699ac8fcaba118afae76aaf72bc97505fb3", "title": "First Order Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04591.pdf"], "doi": []}, {"id": "008150576e5fa29fdf22d863605a261808800dc6", "title": "SMIT: Stochastic Multi-Label Image-to-Image Translation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03704.pdf"], "doi": []}, {"id": "76b11c281ac47fe6d95e124673a408ee9eb568e3", "title": "Real-time Multi View Face Detection and Pose Estimation Aishwarya", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/76b1/1c281ac47fe6d95e124673a408ee9eb568e3.pdf"], "doi": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "251179381afd4f65ab59ddbd8cd37e24d439d140", "title": "Hierarchical Adversarially Learned Inference", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01071.pdf"], "doi": []}, {"id": "0ac54252eab1ac7641e03bc9b7344e2064e06405", "title": "A Spectral Regularizer for Unsupervised Disentanglement", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01161.pdf"], "doi": []}, {"id": "04fd269c96f11235fbbb985bb16dacedaa3098fd", "title": "Guarding Against Adversarial Domain Shifts with Counterfactual Regularization", "year": "2017", "pdf": [], "doi": []}, {"id": "edab5891f057dd9222f92331cdd8c72a41390650", "title": "Metropolis-Hastings Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11357.pdf"], "doi": []}, {"id": "48bc87ccc6b6e2d318f91d5f1886432806fec553", "title": "Multiaccuracy: Black-Box Post-Processing for Fairness in Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12317.pdf"], "doi": []}, {"id": "641fd2edcf93fa29181952356e93a83a26012aa2", "title": "Following are some examples from CIFAR dataset : Goal : To alter the training criteria to obtain \u2018 objectness \u2019 in the synthesis of images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/424a/f8e96c76de69153a0d528cf7d41d5c69a1a1.pdf"], "doi": []}, {"id": "9baf0509f63a3322d127ae4374aa5b0f9d5439b8", "title": "Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs", "year": "2017", "pdf": [], "doi": []}, {"id": "833cd4265bd8162d3cfb483ce8f31eaef28e7a2e", "title": "TOWARDS EFFECTIVE GANS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/833c/d4265bd8162d3cfb483ce8f31eaef28e7a2e.pdf"], "doi": []}, {"id": "15aa6c457678e25f6bc0e818e5fc39e42dd8e533", "title": "Conditional Image Generation for Learning the Structure of Visual Objects", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07823.pdf"], "doi": []}, {"id": "91e9e19a06614197b5431410cecd29762223e04e", "title": "Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00077.pdf"], "doi": []}, {"id": "389b2390fd310c9070e72563181547cf23dceea3", "title": "\u03b2-VAE : L EARNING B ASIC", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/389b/2390fd310c9070e72563181547cf23dceea3.pdf"], "doi": []}, {"id": "a398fcb30b49bee32d8f2c4cd3939517cd262025", "title": "Generative Adversarial Style Transfer Networks for Face Aging", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Palsson_Generative_Adversarial_Style_CVPR_2018_paper.pdf", "http://www.vision.ee.ethz.ch/~aeirikur/generative-adversarial-style.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Palsson-CVPRW-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575452", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00282", "http://doi.org/10.1109/CVPRW.2018.00282"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "e51d170dd4119ae1464c01fbb14e04e0ce8b3025", "title": "Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00415.pdf"], "doi": []}, {"id": "e23ed8642a719ff1ab08799257d9566ed3bba403", "title": "Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09798.pdf"], "doi": []}, {"id": "f89e5a8800b318fa03289b5cc67df54b956875b4", "title": "Do GANs actually learn the distribution? An empirical study", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.08224.pdf"], "doi": []}, {"id": "45824905119ec09447d60e1809434062d5f4c1e4", "title": "Detecting Smiles of Young Children via Deep Transfer Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Xia_Detecting_Smiles_of_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265406", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.196", "http://doi.org/10.1109/ICCVW.2017.196"]}, {"id": "4b850dbf3c818dc287f27f144f870b4f0b08ef09", "title": "Training Generative Reversible Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01610.pdf"], "doi": []}, {"id": "97eabf253570f1fda79a0e217a7bbdb5aec871da", "title": "Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10895.pdf"], "doi": []}, {"id": "fafd0d7dd9c845960bfdc90d87066bdb14d4e3ab", "title": "Disentangling by Factorising", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05983.pdf"], "doi": []}, {"id": "260a57f4d099f3f2a2c2b458e92de15e4e4a47fc", "title": "Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hu_Attribute-Enhanced_Face_Recognition_ICCV_2017_paper.pdf", "https://pure.qub.ac.uk/portal/files/138226397/ICCV2017_Attribute_Enhanced_Face_Recognition_with_Neural_Tensor_Fusion_Networks.pdf", "https://www.research.ed.ac.uk/portal/files/41072997/hu2017neuralTensor.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237666", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.404", "http://doi.org/10.1109/ICCV.2017.404"]}, {"id": "b2504b0b2a7e06eab02a3584dd46d94a3f05ffdf", "title": "Conditional Neural Processes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01613.pdf"], "doi": []}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "b26d5d929cc3c0d14da058961ddd024f4c9690f5", "title": "Robust Conditional Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08657.pdf"], "doi": []}, {"id": "16f48e8b7f1f6c03c888e3f4664ce3fa1261296b", "title": "Steganographic Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05502.pdf"], "doi": []}, {"id": "d80564cea654d11b52c0008891a0fd2988112049", "title": "Semi-supervised Conditional GANs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.05789.pdf"], "doi": []}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "e3582dffe5f3466cc5bc9d736934306c551ab33c", "title": "AttGAN: Facial Attribute Editing by Only Changing What You Want", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10678.pdf"], "doi": []}, {"id": "cb2470aade8e5630dcad5e479ab220db94ecbf91", "title": "Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397018", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00062", "http://doi.org/10.1109/MIPR.2018.00062"]}, {"id": "16554e854f1dd6964883d929ef34eb4c1f04e072", "title": "ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579083"]}, {"id": "f79da1632565f10ba4feac93fbb1aa521ba09015", "title": "Performance Evaluation of Image and Video Cloud Services", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622864"]}, {"id": "2cc9e70cd4664533af9bf34b2da7a1c2694616f8", "title": "Tempered Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04374.pdf"], "doi": []}, {"id": "646030fe70672299b099adede5c446115826f4f6", "title": "Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575554"]}, {"id": "6f9873e2a7bc279c4f0a45c1a6e831ef3ba78ae7", "title": "Improving GAN Training via Binarized Representation Entropy (BRE) Regularization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03644.pdf"], "doi": []}, {"id": "6b327af674145a34597986ec60f2a49cff7ed155", "title": "Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1805.06605.pdf"], "doi": []}, {"id": "ec2027c2dd93e4ee8316cc0b3069e8abfdcc2ecf", "title": "Latent Variable PixelCNNs for Natural Image Modeling", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/252c/2e5e59d7b08887095b272d19dcd76fcf4a82.pdf"], "doi": []}, {"id": "5fd147f57fc087b35650f7f3891d457e4c745d48", "title": "Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08819.pdf"], "doi": []}, {"id": "4273c24df71ec59c0c1cad95342d01cf53bb7d8d", "title": "StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579014"]}, {"id": "bc995457cf5f4b2b5ef62106856571588d7d70f2", "title": "Comparison of Maximum Likelihood and GAN-based training of Real NVPs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05263.pdf"], "doi": []}, {"id": "9aab33ce8d6786b3b77900a9b25f5f4577cea461", "title": "Automatic Semantic Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961739", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.31", "http://doi.org/10.1109/FG.2017.31"]}, {"id": "147b7998526ebbdf64b1662503b378d9f6456ccd", "title": "GENERATIVE ADVERSARIAL NETWORKS FOR IMAGE STEGANOGRAPHY", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/147b/7998526ebbdf64b1662503b378d9f6456ccd.pdf"], "doi": []}, {"id": "065c54829a8d2511adc9122ad183be97ada7a7bc", "title": "Attribute Augmented Convolutional Neural Network for Face Hallucination", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575266"]}, {"id": "341de07abfb89bf78f3a72513c8bce40d654e0a3", "title": "Sparse and Deep Generalizations of the FRAME Model", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4d54/360c1eb3c7f3485ee450e7979aef7ec8019e.pdf"], "doi": []}, {"id": "a9df9f3500d518b1eaa2c450d5cc3b2b8437dd67", "title": "Sliced Wasserstein Distance for Learning Gaussian Mixture Models", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578459"]}, {"id": "81d67fa2f5eb76c9b0afb2d887e95ba78b6e46c9", "title": "Learning Implicit Generative Models with the Method of Learned Moments", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11006.pdf"], "doi": []}, {"id": "0ae192e146431a52d7bb51923e9bdd7292ab12ef", "title": "Multi-Generator Generative Adversarial Nets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02556.pdf"], "doi": []}, {"id": "ff3401d410fe89771be0f528170c4990397c264c", "title": "Structured Uncertainty Prediction Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578672"]}, {"id": "c6437e7fb44f13a5ff610c9daf8fa7ce4a6c1ec3", "title": "The Riemannian Geometry of Deep Generative Models", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575533"]}, {"id": "b4c80df27276660522f8901aa90c129c15611821", "title": "On Detecting Domestic Abuse via Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575463"]}, {"id": "fe030b87e3c985c9dedab130949e2868e3e5e7d5", "title": "Explaining Neural Networks Semantically", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe03/0b87e3c985c9dedab130949e2868e3e5e7d5.pdf"], "doi": []}, {"id": "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "title": "Metric-based Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123334"]}, {"id": "62b90583723174220b26c92bd67f6c422ad75570", "title": "DNA-GAN: LEARNING DISENTANGLED REPRESEN-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/62b9/0583723174220b26c92bd67f6c422ad75570.pdf"], "doi": []}, {"id": "a34e5c66bd553d8a75e13084fb7a81217c21e33b", "title": "Attributes as Operators: Factorizing Unseen Attribute-Object Compositions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09851.pdf"], "doi": []}, {"id": "fd4537b92ab9fa7c653e9e5b9c4f815914a498c0", "title": "One-Sided Unsupervised Domain Mapping", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00826.pdf"], "doi": []}, {"id": "2780f8fc25320f4fb258442ceb790ffe301730fe", "title": "Generative Reversible Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "fac36fa1b809b71756c259f2c5db20add0cb0da0", "title": "Transferring GANs: Generating Images from Limited Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01677.pdf"], "doi": []}, {"id": "d2860bb05f747e4628e95e4d84018263831bab0d", "title": "Learning to Generate Samples from Noise through Infusion Training", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06975.pdf"], "doi": []}, {"id": "80a3ad65623a286c11881b542e3262ebb2733219", "title": "Blind Image Deconvolution using Deep Generative Priors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04073.pdf"], "doi": []}, {"id": "18ec3b37a33db39ac0633677e944cc81be58f7ba", "title": "Cooperative Training of Descriptor and Generator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09408.pdf"], "doi": []}, {"id": "556ca2389246b0a848b578dc824b930e1337a4bc", "title": "Tri-axial Self-Attention for Concurrent Activity Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02817.pdf"], "doi": []}, {"id": "d5c4e3c101041556e00b25c0dcb09716827ed5b3", "title": "Unsupervised Image-to-Image Translation with Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02676.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "1ec59aece51a698bce34f393cf6474b926fd89ad", "title": "Exemplar Guided Unsupervised Image-to-Image Translation", "year": "2018", "pdf": [], "doi": []}, {"id": "8d9067da4ba5c57643ee7a84cd5c5d5674384937", "title": "Sorting out Lipschitz function approximation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05381.pdf"], "doi": []}, {"id": "0ab07d0d6cf8d417e695a43ef4b88bf70b68213a", "title": "Adversarial Learning with Local Coordinate Coding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04895.pdf"], "doi": []}, {"id": "ff83aade985b981fbf2233efbbd749600e97454c", "title": "Towards Understanding Adversarial Learning for Joint Distribution Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.01215.pdf"], "doi": []}, {"id": "64a5f474014e3924d3f04c8b44d6a8ed8f6c82da", "title": "Changing the Image Memorability: From Basic Photo Editing to GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03825.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "4a5bd1f2935f9a3c33f1a103a1d43377e61265a0", "title": "Conditional Image-to-Image Translation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578677"]}, {"id": "9f723469b6634a7d08d3b888e23421e873c95617", "title": "Generative Image Inpainting with Contextual Attention", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578675"]}, {"id": "fa3a1b77c105f40199de835a75b4b232ac332f71", "title": "Variational learning across domains with triplet information", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08672.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "6f900e683ea1fc85825a403d1ba2df7875f35bb9", "title": "Joint-VAE: Learning Disentangled Joint Continuous and Discrete Representations", "year": "2018", "pdf": [], "doi": []}, {"id": "7c0c9ab92d49941089979c1e344fe66efc873bdd", "title": "Generative Adversarial Examples", "year": "2018", "pdf": [], "doi": []}, {"id": "d98a36081a434451184fa4becb59bf5ec55f3a1e", "title": "Computational face reader based on facial attribute estimation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.110"]}, {"id": "4131aa28d640d17e1d63ca82e55cc0b280db0737", "title": "COULOMB GANS: PROVABLY OPTIMAL NASH EQUI-", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/827c/08151b92dbf8fa307c4e5928340d7294bcff.pdf"], "doi": []}, {"id": "4cb48924acdcc0b20ef05ea5f5e856b081d9b40f", "title": "A Classification-Based Study of Covariate Shift in GAN Distributions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00970.pdf"], "doi": []}, {"id": "e4fb693d8b2755b8e989e0c59b28db3c75591503", "title": "Classification of E-Commerce-Related Images Using Hierarchical Classification with Deep Neural Networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8278089"]}, {"id": "9fb372fd2fb79571de1cc388154d4a3f0547d440", "title": "PBGAN: Partial Binarization of Deconvolution Based Generators", "year": "2018", "pdf": [], "doi": []}, {"id": "99f565df31ef710a2d8a1b606e3b7f5f92ab657c", "title": "Geometry Score: A Method For Comparing Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02664.pdf"], "doi": []}, {"id": "2786a595741c0bdbedbc0e3cc2e4174f784ac776", "title": "Distribution Matching in Variational Inference", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06847.pdf"], "doi": []}, {"id": "96390f95a73a6bd495728b6cd2a97554ef187f76", "title": "Pan Olympus : Sensor Privacy through Utility Aware", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9639/0f95a73a6bd495728b6cd2a97554ef187f76.pdf"], "doi": []}, {"id": "d81dbc2960e527e91c066102aabdaf9eb8b15f85", "title": "Deep Directed Generative Models with Energy-Based Probability Estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.03439.pdf"], "doi": []}, {"id": "8a3bf4d403a39ed33f0fa8cf78dc906d6130595f", "title": "Semantic Image Inpainting with Deep Generative Models", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100211"]}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "7804949c133d7308d828a94a7944d47c1f0ffe67", "title": "Detection of Deep Network Generated Images Using Disparities in Color Components", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07276.pdf"], "doi": []}, {"id": "93ae0e1704b20b89149e3eabce39c7428063e963", "title": "Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578368"]}, {"id": "cf65c2df432cd9dc9e29aca55da4f49d9cafe961", "title": "Spatial Fusion GAN for Image Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05840.pdf"], "doi": []}, {"id": "6903496ee5d4c24ca5f3f18211f406e0ba8442d6", "title": "Multi-Mapping Image-to-Image Translation with Central Biasing Normalization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.10050.pdf"], "doi": []}, {"id": "2b507f659b341ed0f23106446de8e4322f4a3f7e", "title": "Deep Identity-aware Transfer of Facial Attributes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05586.pdf"], "doi": []}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"id": "9d8978ee319d671283a90761aaed150c7cc9154b", "title": "Fader Networks: Manipulating Images by Sliding Attributes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00409.pdf"], "doi": []}, {"id": "d3d887aebeeae44cefd5c2bdbb388d9ce109e335", "title": "Image Manipulation with Perceptual Discriminators", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01396.pdf"], "doi": []}, {"id": "0a02184707247a79a236a03f85ab35d99a68be33", "title": "Bidirectional Conditional Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07461.pdf"], "doi": []}, {"id": "c231d8638e8b5292c479d20f7dd387c53e581a1a", "title": "Multi-View Data Generation Without View Supervision", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00305.pdf"], "doi": []}, {"id": "8326d3e57796dad294ab1c14a0688221550098b6", "title": "ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8326/d3e57796dad294ab1c14a0688221550098b6.pdf"], "doi": []}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "40c3f90f0abf842ee6f6009c414fde4f86b82005", "title": "Synchronization Detection and Recovery of Steganographic Messages with Adversarial Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.10365.pdf"], "doi": []}, {"id": "c64a45c2ce84c86e67cf22429d78432aa138317c", "title": "Spatiotemporal Data Fusion for Precipitation Nowcasting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10915.pdf"], "doi": []}, {"id": "174ddb6379b91a0e799e9988d0e522a5af18f91d", "title": "ChatPainter: Improving Text to Image Generation using Dialogue", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08216.pdf"], "doi": []}, {"id": "f83d1726f7a4e164027a3fa44cfe842640907d35", "title": "A Factorial Mixture Prior for Compositional Deep Generative Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07480.pdf"], "doi": []}, {"id": "907fbe706ec14101978a63c6252e0d75e657e8dd", "title": "The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00043.pdf"], "doi": []}, {"id": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"], "doi": []}, {"id": "79815f31f42708fd59da345f8fa79f635a070730", "title": "Autoregressive Quantile Networks for Generative Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05575.pdf"], "doi": []}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "442ee5a3f51ca93a642c20fa69326f3b17367565", "title": "Detection of rail surface defects based on CNN image recognition and classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8323642"]}, {"id": "a7e5a46e47dd21cc9347b913dd3dde2f0ad832ed", "title": "On denoising autoencoders trained to minimise binary cross-entropy", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08487.pdf"], "doi": []}, {"id": "d1697250de6f91d3a3266c1ff0fdce0bf96acfe3", "title": "A C Lassification \u2013 B Ased P Erspective on Gan D Istributions", "year": "2017", "pdf": [], "doi": []}, {"id": "7695ad05116bfdf9a6d106b3ea356a37d41a7c0a", "title": "Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09206.pdf"], "doi": []}, {"id": "ea94d834f912f092618d030f080de8395fe39b3f", "title": "Joint autoencoders : a flexible meta-learning framework", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3027/8a460e2936596b671d20599f2598c4d284ed.pdf"], "doi": []}, {"id": "7da7678882d06a1f93636f58fe89635da5b1dd0c", "title": "EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.07919.pdf"], "doi": []}, {"id": "b6b24dfaf4c9e498ca9b9ee9f82d8d0c5bdb77e9", "title": "Rethinking Feature Distribution for Loss Functions in Image Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579048"]}, {"id": "de60ee528db713d264ffea870b33f8be054fb8c7", "title": "A Classification-Based Perspective on GAN Distributions", "year": "2017", "pdf": [], "doi": []}, {"id": "2d6d4899c892346a9bc8902481212d7553f1bda4", "title": "Neural Face Editing with Intrinsic Image Disentangling SUPPLEMENTARY MATERIAL", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2d6d/4899c892346a9bc8902481212d7553f1bda4.pdf"], "doi": []}, {"id": "e0f828376631b362aa550246c73d85e354126fed", "title": "Disentangling Factors of Variation by Mixing Them", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578456"]}, {"id": "2829c069ff0e6b6e8bcb904c2ba61279434f7980", "title": "NECST: Neural Joint Source-Channel Coding", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bd17/d6ba5525dec8762dbaacf6cc3e0cc3f5ff90.pdf"], "doi": []}, {"id": "1dd3faf5488751c9de10977528ab96be24616138", "title": "Detecting Anomalous Faces with 'No Peeking' Autoencoders", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05798.pdf"], "doi": []}, {"id": "65ec52a3e0a0f6a46fd140ff83bb82d7d02a2d45", "title": "Learning Hierarchical Features from Generative Models", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08396.pdf"], "doi": []}, {"id": "9557da53ddb8a122281f92a17a2a816acde1b3d8", "title": "Do GAN Loss Functions Really Matter?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09567.pdf"], "doi": []}, {"id": "2a417a16473e2bcb1c98cd7814bc106760925e60", "title": "Image Inpainting for Irregular Holes Using Partial Convolutions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07723.pdf"], "doi": []}, {"id": "d87ccfc42cf6a72821d357aab0990e946918350b", "title": "Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00370.pdf"], "doi": []}, {"id": "fdaf65b314faee97220162980e76dbc8f32db9d6", "title": "Face recognition using both visible light image and near-infrared image and a deep network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fdaf/65b314faee97220162980e76dbc8f32db9d6.pdf"], "doi": []}, {"id": "c86afba9c77a9b1085ccc6c44c36fa3a1fdb51c5", "title": "New Losses for Generative Adversarial Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01290.pdf"], "doi": []}, {"id": "82821e227683d66543a303f4faddc1376a91a463", "title": "Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8282/1e227683d66543a303f4faddc1376a91a463.pdf"], "doi": []}, {"id": "84e9de36dd7915f9334db5cc1fe567e17d717495", "title": "Fine-Grained Categorization via CNN-Based Automatic Extraction and Integration of Object-Level and Part-Level Features", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.07397.pdf"], "doi": []}, {"id": "f00dd1f092ad93d659070a8e77f00b5902ec74b4", "title": "Inferencing based on unsupervised learning of disentangled representations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02627.pdf"], "doi": []}, {"id": "56bc524d7cc1ff2fad8f27c0414cac437fc2b4f0", "title": "Protest Activity Detection and Perceived Violence Estimation from Social Media Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06204.pdf"], "doi": []}, {"id": "02a97d3cd6c57636ef6f1bb9e3171e832ff8d307", "title": "A Hierarchical Grocery Store Image Dataset With Visual and Semantic Labels", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658240"]}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "4d91926b9291fd4542547f5e974be8c82cf6c822", "title": "A BIOLOGICALLY INSPIRED VISUAL WORKING MEMORY", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e22c/f1ca10c11991c2a43007e37ca652d8f0d814.pdf"], "doi": []}, {"id": "0217fb2a54a4f324ddf82babc6ec6692a3f6194f", "title": "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.03657.pdf"], "doi": []}, {"id": "471908e99d6965f0f6d249c9cd013485dc2b21df", "title": "Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.08446.pdf"], "doi": []}, {"id": "c8855bebdaa985dfc4c1a07e5f74a0e29787e47e", "title": "Multi-label Object Attribute Classification using a Convolutional Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04309.pdf"], "doi": []}, {"id": "486ee9d420fd1eba1006221d3d61931563bc4115", "title": "Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579022"]}, {"id": "6a20f975eb253503bba46a421275d46cf74ee1b9", "title": "Context Embedding Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579003"]}, {"id": "4a57999570a812795a93a6f9395058f575a0e531", "title": "Constraint-Based Visual Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09202.pdf"], "doi": []}, {"id": "4ed0be0b5d67cff63461ba79f2a7928d652cf310", "title": "Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00553.pdf"], "doi": []}, {"id": "e21c45b14d75545d40ed07896f26ec6f766f6a4b", "title": "Fisher GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09675.pdf"], "doi": []}, {"id": "ba60b642a558858325f50d38a345b6bb85114ce1", "title": "Imbalanced Deep Learning by Minority Class Incremental Rectification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10851.pdf"], "doi": []}, {"id": "b362b812ececef21100d7a702447fcf5ab6d4715", "title": "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07543.pdf"], "doi": []}, {"id": "0c2a9a6bee6dfa5240a79c9dc306c2354d3806e1", "title": "On Matching Faces with Alterations due to Plastic Surgery and Disguise", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07318.pdf"], "doi": []}, {"id": "33150902d90e9e5917418da0e91c05d062fa8e05", "title": "Task-Aware Compressed Sensing With Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01284.pdf"], "doi": []}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "8dbf8f3ccf67500b1bfa5cec7225801bcf5cd1be", "title": "Which is the Better Inpainted Image?Training Data Generation Without Any Manual Operations", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1132-0"]}, {"id": "e260847323b48a79bd88dd95a1499cd3053d3645", "title": "Reconstructing perceived faces from brain activations with deep adversarial neural decoding", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/937b/78204a7ac4aac6a8782f29c68322621dc1c2.pdf"], "doi": []}, {"id": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961738", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.30", "http://doi.org/10.1109/FG.2017.30"]}, {"id": "bea185a15d5df7bbfce83bc684c316412703efbb", "title": "PIXELNN: EXAMPLE-BASED IMAGE SYNTHESIS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/bea1/85a15d5df7bbfce83bc684c316412703efbb.pdf"], "doi": []}, {"id": "8681d139d86266642ff5008da05a1b30489fa29f", "title": "Relevance Factor VAE: Learning and Identifying Disentangled Factors", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01568.pdf"], "doi": []}, {"id": "3bf154166f149669ae6bbb2c265c6ced4992f3d4", "title": "Invertibility of Convolutional Generative Networks from Partial Measurements", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3bf1/54166f149669ae6bbb2c265c6ced4992f3d4.pdf"], "doi": []}, {"id": "66e57fe8d2bf08b5783d333c1870591b23008850", "title": "Nonlinear 3D Face Morphable Model", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578865"]}, {"id": "ab3b196c5386f7ec2d05870eeb8872c8b8e33d77", "title": "Unconditional Generative Models", "year": "2017", "pdf": [], "doi": []}, {"id": "501bc80334fd6e429d6fa2da7c81ecb1f03580b6", "title": "SGAN: An Alternative Training of Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579078"]}, {"id": "af6af58ba12920762638e1d0b8310a0d9961b7be", "title": "Sketch-to-Image Generation Using Deep Contextual Completion", "year": "2017", "pdf": [], "doi": []}, {"id": "7d8b1aab662186af200ba581573809452c9c2584", "title": "A Convex Duality Framework for GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11740.pdf"], "doi": []}, {"id": "e58f08ad6e0edd567f217ef08de1701a8c29fcc8", "title": "Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing - and Back", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04062.pdf"], "doi": []}, {"id": "fd37603fe9808f32d53fd417b20ab0a47dbb2d9b", "title": "Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411207"]}, {"id": "424259e9e917c037208125ccc1a02f8276afb667", "title": "Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06433.pdf"], "doi": []}, {"id": "98aa23924e224f6e6cab043fa363f10f4d473c7d", "title": "Compressed Sensing with Deep Image Prior and Learned Regularization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06438.pdf"], "doi": []}, {"id": "a75ee7f4c4130ef36d21582d5758f953dba03a01", "title": "Human face attributes prediction with Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a75e/e7f4c4130ef36d21582d5758f953dba03a01.pdf"], "doi": []}, {"id": "b23254b32e36e7d9782b7a076d6ad7b475d56c45", "title": "Generative Adversarial Image Synthesis with Decision Tree Latent Controller", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578789"]}, {"id": "14a022a3eb8cc9681b1ab075650d462788de1fa0", "title": "GANs for Biological Image Synthesis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04692.pdf"], "doi": []}, {"id": "9cc4abd2ec10e5fa94ff846c5ee27377caf17cf0", "title": "Improved Techniques for GAN based Facial Inpainting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08774.pdf"], "doi": []}, {"id": "59b6ff409ae6f57525faff4b369af85c37a8dd80", "title": "Deep Attribute Driven Image Similarity Learning Using Limited Data", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241593", "http://doi.ieeecomputersociety.org/10.1109/ISM.2017.28", "http://doi.org/10.1109/ISM.2017.28"]}, {"id": "eb72dcf0ba423d0e12d63cd7881f2ac5dfda7984", "title": "Associative Compression Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "e68ef9597613cd2b6cf76e81c13eb061ee468485", "title": "Latent Convolutional Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06284.pdf"], "doi": []}, {"id": "42f8ef9d5ebf969a7e2b4d1eef4b332db562e5d4", "title": "Which Training Methods for GANs do actually Converge?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.04406.pdf"], "doi": []}, {"id": "9eef060f351d2a107bd7eb5b49d67653a4ffa38b", "title": "Attribute-correlated local regions for deep relative attributes learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2f88/d3189723669f957d83ad542ac5c2341c37a5.pdf"], "doi": []}, {"id": "79fc3c10ce0d0f48b25c8cf460048087c97e2e90", "title": "Variational Bi-domain Triplet Autoencoder", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08672.pdf"], "doi": []}, {"id": "baffdff4457b1cd1db06b933a67c4d117eec4dbf", "title": "Facelet-Bank for Fast Portrait Manipulation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578471"]}, {"id": "390dc36d547dbf9bc9774ec8de454e6317a2d170", "title": "InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00193.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 718b3d67..18d117f4 100644 --- a/site/datasets/unknown/cuhk_campus_03.json +++ b/site/datasets/unknown/cuhk_campus_03.json @@ -1 +1 @@ -{"id": "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "citations": [{"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": "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": "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": "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": "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": "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": "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": "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": "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": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "36973330ae638571484e1f68aaf455e3e6f18ae9", "title": "Scale-Aware Fast R-CNN for Pedestrian Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.08160.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": "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": "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": "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": "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": "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": "5645f567d83bacf318c9b8c4adb5e508b713e466", "title": "Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"], "doi": []}, {"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": "eca9b9dd665556423278b85f79e1d589009a7ea7", "title": "Person Re-Identi fi cation by Robust Canonical Correlation Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/eca9/b9dd665556423278b85f79e1d589009a7ea7.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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "8cd61bb3469aa253d4411ef2295b50683a031d17", "title": "Random Occlusion-recovery for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.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": "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": "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": "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": "b06b0086e84038abbe5088f3429603778f2b8fdf", "title": "Distributed Data Association in Smart Camera Networks via Dual Decomposition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1501.04754.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": "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": "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": "36973330ae638571484e1f68aaf455e3e6f18ae9", "title": "Scale-Aware Fast R-CNN for Pedestrian Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.08160.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": "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": "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": "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": "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": "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": "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": "5645f567d83bacf318c9b8c4adb5e508b713e466", "title": "Deep Sequential Multi-camera Feature Fusion for Person Re-identification", "year": "2018", "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": "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": "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": "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": "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": "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": "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": "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": "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/duke_mtmc.json b/site/datasets/unknown/duke_mtmc.json index 769c8ec1..14f994cf 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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "b90b462619ba03fd3de0fd01b6c293185f4ba71d", "title": "Learning from Demonstration in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03516.pdf"], "doi": []}, {"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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.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": "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": "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": "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": "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": "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": "ae5983048e59a339c77fee89e9279a4a787ba985", "title": "Part-Based Deep Hashing for Large-Scale Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02145.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": "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": "43001722a7b31427d1ee16ef47c0482fdf552011", "title": "Review of Person Re-identification Methods", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560849"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/face_scrub.json b/site/datasets/unknown/face_scrub.json index 64e5e168..10572e13 100644 --- a/site/datasets/unknown/face_scrub.json +++ b/site/datasets/unknown/face_scrub.json @@ -1 +1 @@ -{"id": "0d3bb75852098b25d90f31d2f48fd0cb4944702b", "citations": [{"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "e4afc03c818bc9e357ea2fb23ebf73496f1ffc81", "title": "Mafalda Libo\u0301rio Baio Morais Alves", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4af/c03c818bc9e357ea2fb23ebf73496f1ffc81.pdf"], "doi": []}, {"id": "24c442ac3f6802296d71b1a1914b5d44e48b4f29", "title": "Pose and Expression-Coherent Face Recovery in the Wild", "year": "2015", "pdf": ["http://vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w24/papers/Burgos-Artizzu_Pose_and_Expression-Coherent_ICCV_2015_paper.pdf", "http://www.vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406466", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.117", "http://doi.org/10.1109/ICCVW.2015.117"]}, {"id": "d69b8121771f211cd4f0d9bc960954643731ca4b", "title": "OLE: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578944"]}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "486a82f50835ea888fbc5c6babf3cf8e8b9807bc", "title": "Face Search at Scale: 80 Million Gallery", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.07242.pdf"], "doi": []}, {"id": "5343b6d5c9f3a2c4d9648991162a6cc13c1c5e70", "title": "DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578691"]}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "565f7c767e6b150ebda491e04e6b1de759fda2d4", "title": "Fine-grained face verification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.11.023"]}, {"id": "00fb2836068042c19b5197d0999e8e93b920eb9c", "title": "Genetic Algorithm for Weight Optimization in Descriptor based Face Recognition Methods", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/00fb/2836068042c19b5197d0999e8e93b920eb9c.pdf"], "doi": []}, {"id": "03f4c0fe190e5e451d51310bca61c704b39dcac8", "title": "CHEAVD: a Chinese natural emotional audio\u2013visual database", "year": "2017", "pdf": ["http://speakit.cn/Group/file/2016_CHEAVD_AIHC_SCI-Ya%20Li.pdf"], "doi": ["http://doi.org/10.1007/s12652-016-0406-z"]}, {"id": "a455cbde9dafdb099d83464c7f4729d8f17208ed", "title": "ODESSA/PLUMCOT at Albayzin multimodal diarization challenge 2018", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a455/cbde9dafdb099d83464c7f4729d8f17208ed.pdf"], "doi": []}, {"id": "6789bddbabf234f31df992a3356b36a47451efc7", "title": "Unsupervised Generation of Free-Form and Parameterized Avatars.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6789/bddbabf234f31df992a3356b36a47451efc7.pdf"], "doi": []}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "1450296fb936d666f2f11454cc8f0108e2306741", "title": "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05192.pdf"], "doi": []}, {"id": "19d53bb35baf6ab02368756412800c218a2df71c", "title": "DeepDeblur: Fast one-step blurry face images restoration.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09515.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "5e0eb34aeb2b58000726540336771053ecd335fc", "title": "Low-Quality Video Face Recognition with Deep Networks and Polygonal Chain Distance", "year": "2016", "pdf": ["http://ies.anthropomatik.kit.edu/ies/download/publ/ies_2016_herrmann_low_quality.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797061", "http://doi.org/10.1109/DICTA.2016.7797061"]}, {"id": "1e21b925b65303ef0299af65e018ec1e1b9b8d60", "title": "Unsupervised Cross-Domain Image Generation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.02200.pdf"], "doi": []}, {"id": "f79da1632565f10ba4feac93fbb1aa521ba09015", "title": "Performance Evaluation of Image and Video Cloud Services", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622864"]}, {"id": "2b6683dc7e94863e2df5d4ff2b5eb44c0b1957c7", "title": "Improving Robustness of Biometric Identity Determination with Digital Watermarking", "year": "2016", "pdf": ["http://downloads.hindawi.com/journals/jece/2016/6390741.pdf"], "doi": ["https://doi.org/10.1155/2016%2F6390741", "https://doi.org/10.1155/2016/6390741"]}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "088aabe3da627432fdccf5077969e3f6402f0a80", "title": "CLASSIFIER-TO-GENERATOR ATTACK: ESTIMATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/088a/abe3da627432fdccf5077969e3f6402f0a80.pdf"], "doi": []}, {"id": "e2468c58e3178dd3a5dbbc1888a9d122c2727b76", "title": "Learning Face Deblurring Fast and Wide", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575269"]}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "07dbf04089b015db773fe95e664fa73aef874b36", "title": "Fishy Faces: Crafting Adversarial Images to Poison Face Authentication", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b9d0/774b0321a5cfc75471b62c8c5ef6c15527f5.pdf"], "doi": []}, {"id": "a5e5094a1e052fa44f539b0d62b54ef03c78bf6a", "title": "Detection without Recognition for Redaction", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a5e5/094a1e052fa44f539b0d62b54ef03c78bf6a.pdf"], "doi": []}, {"id": "fa08a4da5f2fa39632d90ce3a2e1688d147ece61", "title": "Supplementary material for \u201c Unsupervised Creation of Parameterized Avatars \u201d 1 Summary of Notations", "year": "", "pdf": ["https://pdfs.semanticscholar.org/fa08/a4da5f2fa39632d90ce3a2e1688d147ece61.pdf"], "doi": []}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944942", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.38", "http://doi.org/10.1109/BigDataService.2017.38"]}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "13f065d4e6dfe2a130bd64d73eee97d10d9f7d33", "title": "A Study of the Region Covariance Descriptor: Impact of Feature Selection and Image Transformations", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371222", "http://doi.org/10.1109/DICTA.2015.7371222"]}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "0c13bf7fcb238cc844dea24c0e2ad694a5f2cbde", "title": "Learning to Identify While Failing to Discriminate", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Sokolic_Learning_to_Identify_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265509", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.298", "http://doi.org/10.1109/ICCVW.2017.298"]}, {"id": "1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "title": "Face Search at Scale", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/WangOttoJain_FaceSearchAtScale_TPAMI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494641", "http://doi.org/10.1109/TPAMI.2016.2582166", "https://www.ncbi.nlm.nih.gov/pubmed/27333599", "https://www.wikidata.org/entity/Q36059157"]}, {"id": "facc086712a0255c5634c854b9d0ffbc3be6a6aa", "title": "Blurred Images Lead to Bad Local Minima", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10788.pdf"], "doi": []}, {"id": "1b55c4e804d1298cbbb9c507497177014a923d22", "title": "Incremental Class Representation Learning for Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1b55/c4e804d1298cbbb9c507497177014a923d22.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "b498640d8f0ac5a628563ff84dbef8d35d12a7ec", "title": "Overcoming catastrophic forgetting with hard attention to the task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01423.pdf"], "doi": []}, {"id": "64e216c128164f56bc91a33c18ab461647384869", "title": "Low-resolution Convolutional Neural Networks for video face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738017", "http://doi.org/10.1109/AVSS.2016.7738017"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "da141474d85257ae65e45b3d4b3a9aa23e62724d", "title": "Learning techniques for multi-modal facial analysis", "year": "2015", "pdf": [], "doi": []}, {"id": "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "title": "Using deep learning for social analysis in egocentric images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b13a/b3647352c3af2ba656f93b69bb5ae9a69fe5.pdf"], "doi": []}, {"id": "f442a2f2749f921849e22f37e0480ac04a3c3fec", "title": "Critical Features for Face Recognition in Humans and Machines", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f442/a2f2749f921849e22f37e0480ac04a3c3fec.pdf"], "doi": []}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "2c052a1c77a3ec2604b3deb702d77c41418c7d3e", "title": "What Is the Challenge for Deep Learning in Unconstrained Face Recognition?", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373863", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00070", "http://doi.org/10.1109/FG.2018.00070"]}, {"id": "9a7858eda9b40b16002c6003b6db19828f94a6c6", "title": "Mooney face classification and prediction by learning across tone", "year": "2017", "pdf": ["http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2017mooneyICIP.pdf", "https://www1.icsi.berkeley.edu/~twke/pdfs/pubs/mooney_icip2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296637", "http://doi.org/10.1109/ICIP.2017.8296637"]}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "4f3b652c75b1d7cf4997e0baaef2067b61e3a79b", "title": "Learning deep classifiers with deep features", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552910", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552910", "http://doi.org/10.1109/ICME.2016.7552910"]}, {"id": "49a7949fabcdf01bbae1c2eb38946ee99f491857", "title": "A concatenating framework of shortcut convolutional neural networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00974.pdf"], "doi": []}, {"id": "a9286519e12675302b1d7d2fe0ca3cc4dc7d17f6", "title": "Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.08197.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "0d3bb75852098b25d90f31d2f48fd0cb4944702b", "citations": [{"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "e4afc03c818bc9e357ea2fb23ebf73496f1ffc81", "title": "Mafalda Libo\u0301rio Baio Morais Alves", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4af/c03c818bc9e357ea2fb23ebf73496f1ffc81.pdf"], "doi": []}, {"id": "24c442ac3f6802296d71b1a1914b5d44e48b4f29", "title": "Pose and Expression-Coherent Face Recovery in the Wild", "year": "2015", "pdf": ["http://vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w24/papers/Burgos-Artizzu_Pose_and_Expression-Coherent_ICCV_2015_paper.pdf", "http://www.vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406466", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.117", "http://doi.org/10.1109/ICCVW.2015.117"]}, {"id": "d69b8121771f211cd4f0d9bc960954643731ca4b", "title": "OLE: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578944"]}, {"id": "486a82f50835ea888fbc5c6babf3cf8e8b9807bc", "title": "Face Search at Scale: 80 Million Gallery", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.07242.pdf"], "doi": []}, {"id": "5343b6d5c9f3a2c4d9648991162a6cc13c1c5e70", "title": "DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578691"]}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "565f7c767e6b150ebda491e04e6b1de759fda2d4", "title": "Fine-grained face verification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.11.023"]}, {"id": "00fb2836068042c19b5197d0999e8e93b920eb9c", "title": "Genetic Algorithm for Weight Optimization in Descriptor based Face Recognition Methods", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/00fb/2836068042c19b5197d0999e8e93b920eb9c.pdf"], "doi": []}, {"id": "03f4c0fe190e5e451d51310bca61c704b39dcac8", "title": "CHEAVD: a Chinese natural emotional audio\u2013visual database", "year": "2017", "pdf": ["http://speakit.cn/Group/file/2016_CHEAVD_AIHC_SCI-Ya%20Li.pdf"], "doi": ["http://doi.org/10.1007/s12652-016-0406-z"]}, {"id": "a455cbde9dafdb099d83464c7f4729d8f17208ed", "title": "ODESSA/PLUMCOT at Albayzin multimodal diarization challenge 2018", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a455/cbde9dafdb099d83464c7f4729d8f17208ed.pdf"], "doi": []}, {"id": "6789bddbabf234f31df992a3356b36a47451efc7", "title": "Unsupervised Generation of Free-Form and Parameterized Avatars.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6789/bddbabf234f31df992a3356b36a47451efc7.pdf"], "doi": []}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "1450296fb936d666f2f11454cc8f0108e2306741", "title": "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05192.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "5e0eb34aeb2b58000726540336771053ecd335fc", "title": "Low-Quality Video Face Recognition with Deep Networks and Polygonal Chain Distance", "year": "2016", "pdf": ["http://ies.anthropomatik.kit.edu/ies/download/publ/ies_2016_herrmann_low_quality.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797061", "http://doi.org/10.1109/DICTA.2016.7797061"]}, {"id": "1e21b925b65303ef0299af65e018ec1e1b9b8d60", "title": "Unsupervised Cross-Domain Image Generation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.02200.pdf"], "doi": []}, {"id": "f79da1632565f10ba4feac93fbb1aa521ba09015", "title": "Performance Evaluation of Image and Video Cloud Services", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622864"]}, {"id": "2b6683dc7e94863e2df5d4ff2b5eb44c0b1957c7", "title": "Improving Robustness of Biometric Identity Determination with Digital Watermarking", "year": "2016", "pdf": ["http://downloads.hindawi.com/journals/jece/2016/6390741.pdf"], "doi": ["https://doi.org/10.1155/2016%2F6390741", "https://doi.org/10.1155/2016/6390741"]}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "088aabe3da627432fdccf5077969e3f6402f0a80", "title": "CLASSIFIER-TO-GENERATOR ATTACK: ESTIMATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/088a/abe3da627432fdccf5077969e3f6402f0a80.pdf"], "doi": []}, {"id": "e2468c58e3178dd3a5dbbc1888a9d122c2727b76", "title": "Learning Face Deblurring Fast and Wide", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575269"]}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "07dbf04089b015db773fe95e664fa73aef874b36", "title": "Fishy Faces: Crafting Adversarial Images to Poison Face Authentication", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b9d0/774b0321a5cfc75471b62c8c5ef6c15527f5.pdf"], "doi": []}, {"id": "a5e5094a1e052fa44f539b0d62b54ef03c78bf6a", "title": "Detection without Recognition for Redaction", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a5e5/094a1e052fa44f539b0d62b54ef03c78bf6a.pdf"], "doi": []}, {"id": "fa08a4da5f2fa39632d90ce3a2e1688d147ece61", "title": "Supplementary material for \u201c Unsupervised Creation of Parameterized Avatars \u201d 1 Summary of Notations", "year": "", "pdf": ["https://pdfs.semanticscholar.org/fa08/a4da5f2fa39632d90ce3a2e1688d147ece61.pdf"], "doi": []}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944942", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.38", "http://doi.org/10.1109/BigDataService.2017.38"]}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "13f065d4e6dfe2a130bd64d73eee97d10d9f7d33", "title": "A Study of the Region Covariance Descriptor: Impact of Feature Selection and Image Transformations", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371222", "http://doi.org/10.1109/DICTA.2015.7371222"]}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "0c13bf7fcb238cc844dea24c0e2ad694a5f2cbde", "title": "Learning to Identify While Failing to Discriminate", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Sokolic_Learning_to_Identify_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265509", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.298", "http://doi.org/10.1109/ICCVW.2017.298"]}, {"id": "1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "title": "Face Search at Scale", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/WangOttoJain_FaceSearchAtScale_TPAMI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494641", "http://doi.org/10.1109/TPAMI.2016.2582166", "https://www.ncbi.nlm.nih.gov/pubmed/27333599", "https://www.wikidata.org/entity/Q36059157"]}, {"id": "facc086712a0255c5634c854b9d0ffbc3be6a6aa", "title": "Blurred Images Lead to Bad Local Minima", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10788.pdf"], "doi": []}, {"id": "1b55c4e804d1298cbbb9c507497177014a923d22", "title": "Incremental Class Representation Learning for Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1b55/c4e804d1298cbbb9c507497177014a923d22.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "b498640d8f0ac5a628563ff84dbef8d35d12a7ec", "title": "Overcoming catastrophic forgetting with hard attention to the task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01423.pdf"], "doi": []}, {"id": "64e216c128164f56bc91a33c18ab461647384869", "title": "Low-resolution Convolutional Neural Networks for video face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738017", "http://doi.org/10.1109/AVSS.2016.7738017"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "da141474d85257ae65e45b3d4b3a9aa23e62724d", "title": "Learning techniques for multi-modal facial analysis", "year": "2015", "pdf": [], "doi": []}, {"id": "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "title": "Using deep learning for social analysis in egocentric images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b13a/b3647352c3af2ba656f93b69bb5ae9a69fe5.pdf"], "doi": []}, {"id": "f442a2f2749f921849e22f37e0480ac04a3c3fec", "title": "Critical Features for Face Recognition in Humans and Machines", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f442/a2f2749f921849e22f37e0480ac04a3c3fec.pdf"], "doi": []}, {"id": "2c052a1c77a3ec2604b3deb702d77c41418c7d3e", "title": "What Is the Challenge for Deep Learning in Unconstrained Face Recognition?", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373863", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00070", "http://doi.org/10.1109/FG.2018.00070"]}, {"id": "9a7858eda9b40b16002c6003b6db19828f94a6c6", "title": "Mooney face classification and prediction by learning across tone", "year": "2017", "pdf": ["http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2017mooneyICIP.pdf", "https://www1.icsi.berkeley.edu/~twke/pdfs/pubs/mooney_icip2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296637", "http://doi.org/10.1109/ICIP.2017.8296637"]}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "4f3b652c75b1d7cf4997e0baaef2067b61e3a79b", "title": "Learning deep classifiers with deep features", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552910", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552910", "http://doi.org/10.1109/ICME.2016.7552910"]}, {"id": "49a7949fabcdf01bbae1c2eb38946ee99f491857", "title": "A concatenating framework of shortcut convolutional neural networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00974.pdf"], "doi": []}, {"id": "a9286519e12675302b1d7d2fe0ca3cc4dc7d17f6", "title": "Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.08197.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/fddb.json b/site/datasets/unknown/fddb.json index af907538..79d58767 100644 --- a/site/datasets/unknown/fddb.json +++ b/site/datasets/unknown/fddb.json @@ -1 +1 @@ -{"id": "75da1df4ed319926c544eefe17ec8d720feef8c0", "citations": [{"id": "5711400c59a162112c57e9f899147d457537f701", "title": "Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5711/400c59a162112c57e9f899147d457537f701.pdf"], "doi": []}, {"id": "2804e7407cc5c236da84437e0440947a3faa1145", "title": "Mathematical modeling for partial object detection.", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.18297/etd%2F1713"]}, {"id": "1a89f67e8578659e02d3fb94a1c258a80fde8993", "title": "Controlling Humanoid Robot Using Head Movements", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1a89/f67e8578659e02d3fb94a1c258a80fde8993.pdf"], "doi": []}, {"id": "19ddb005ddfbdec5109f6fd0672b38d6079753b1", "title": "Adaptive Thresholds for Robust Face Detection with a Short Cascade of Classifiers", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7081521"]}, {"id": "2f16459e2e24dc91b3b4cac7c6294387d4a0eacf", "title": "Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining", "year": "2018", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2017/triantafyllidou_nousi_tefas_big_data_and_neural_networks.pdf"], "doi": ["http://doi.org/10.1016/j.bdr.2017.06.002"]}, {"id": "f3a4599d501717db1714140a0425971ef4f330ff", "title": "A Novel Face Detection Algorithm for Occluded Images based on the Geometrical Model of Nose Point Extraction", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.12792/icisip2016.050", "https://www2.ia-engineers.org/conference/index.php/icisip/icisip2016/paper/viewFile/1176/764"]}, {"id": "c21b8b8cd5708111ea21d8095c075aef1598efcd", "title": "A novel pixel neighborhood differential statistic feature for pedestrian and face detection", "year": "2017", "pdf": ["http://vahabonline.com/wp-content/uploads/2017/08/A-novel-pixel-neighborhood-differential-statistic__dvfd.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.09.010"]}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "9a90ce38c5ad0fdfd18463a5ad8ff76ff625229e", "title": "IFQ-Net: Integrated Fixed-Point Quantization Networks for Embedded Vision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575253"]}, {"id": "dd41010faa2c848729bc79614f1846a2267f1904", "title": "Cascaded Random Forest for Fast Object Detection", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/dd41/010faa2c848729bc79614f1846a2267f1904.pdf"], "doi": []}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "61db7d306bde0622685450ca38d26da33e00d3b1", "title": "A robust SVM classification framework using PSM for multi-class recognition", "year": "2015", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-015-0061-x"], "doi": ["https://doi.org/10.1186/s13640-015-0061-x"]}, {"id": "86b69b3718b9350c9d2008880ce88cd035828432", "title": "Improving face image extraction by using deep learning technique", "year": "2016", "pdf": ["https://lhncbc.nlm.nih.gov/system/files/pub9332.pdf"], "doi": ["https://doi.org/10.1117/12.2216278"]}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": [], "doi": []}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-018-01617-y"]}, {"id": "f4746bd863991c55a1139982c15d9e49a5f9e905", "title": "Detection of reactions to sound via gaze and global eye motion analysis using camera streaming", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-018-0952-9"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "e585dc6c810264d9f07e38c412379734a920714e", "title": "Facing reality: an industrial view on large scale use of facial expression analysis", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531926"]}, {"id": "4af89578ac237278be310f7660a408b03f12d603", "title": "Large-scale geo-facial image analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "title": "Detecting Faces Using Inside Cascaded Contextual CNN", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhang_Detecting_Faces_Using_ICCV_2017_paper.pdf", "https://ai.tencent.com/ailab/media/publications/Detecting_Faces_Using_Inside_Cascaded_Contextual_CNN.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237606", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.344", "http://doi.org/10.1109/ICCV.2017.344"]}, {"id": "0916866570527b609566404ab80ae066cbd3ca7c", "title": "A Survey of Recent Advances in Face Detection", "year": "2010", "pdf": [], "doi": []}, {"id": "6f7d06ced04ead3b9a5da86b37e7c27bfcedbbdd", "title": "Multi-Scale Fully Convolutional Network for Fast Face Detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f7d/06ced04ead3b9a5da86b37e7c27bfcedbbdd.pdf"], "doi": []}, {"id": "7360a2adcd6e3fe744b7d7aec5c08ee31094dfd4", "title": "Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models", "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/deep-deformable-convolutional.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373833", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00040", "http://doi.org/10.1109/FG.2018.00040"]}, {"id": "d83583562f3536d5c13f8ca58925362f6878f5f4", "title": "Enhance Visual Recognition under Adverse Conditions via Deep Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07732.pdf"], "doi": []}, {"id": "14d4c019c3eac3c3fa888cb8c184f31457eced02", "title": "Robust Subspace Discovery via Relaxed Rank Minimization", "year": "2014", "pdf": ["http://ita.ucsd.edu/workshop/13/files/paper/paper_2646.pdf", "http://mc.eistar.net/~xwang/res/subspace_v7.pdf", "http://mclab.eic.hust.edu.cn/~xwang/pubs/subspace_v7.pdf", "http://pages.ucsd.edu/~ztu/publication/NECO-Subspace.pdf", "http://yima.csl.illinois.edu/psfile/subspace_discovery_v7.pdf"], "doi": ["https://doi.org/10.1162/NECO_a_00555", "http://dspace.mit.edu/openaccess-disseminate/1721.1/87586", "https://www.ncbi.nlm.nih.gov/pubmed/24320845", "https://www.wikidata.org/entity/Q46288980"]}, {"id": "5d32b19bf1c250c811ba56c37e87b8acda27aef1", "title": "Face region authentication and recovery system based on SPIHT and watermarking", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-014-2006-2"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789676", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.186", "http://doi.org/10.1109/CVPRW.2016.186"]}, {"id": "c444c4dab97dd6d6696f56c1cacda051dde60448", "title": "Multiview Face Detection and Registration Requiring Minimal Manual Intervention", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6461885", "http://doi.org/10.1109/TPAMI.2013.37", "https://www.ncbi.nlm.nih.gov/pubmed/23969391", "https://www.wikidata.org/entity/Q51170597"]}, {"id": "f8f57790f190cc7fbbb7d5fdbbf7545e11e91b67", "title": "Automatic stenosis detection using SVM from CTA projection images", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00530-017-0578-1"]}, {"id": "2d88e7922d9f046ace0234f9f96f570ee848a5b5", "title": "Building Better Detection with Privileged Information", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d88/e7922d9f046ace0234f9f96f570ee848a5b5.pdf"], "doi": []}, {"id": "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "title": "PyramidBox: A Context-assisted Single Shot Face Detector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07737.pdf"], "doi": []}, {"id": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.pdf"], "doi": []}, {"id": "a533ce73fe37e304bf47218a4acb817402086674", "title": "Content-based Video Summarization in Object Maps", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/a533/ce73fe37e304bf47218a4acb817402086674.pdf"], "doi": []}, {"id": "8a6033cbba8598945bfadd2dd04023c2a9f31681", "title": "3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Xiao_3D-Assisted_Coarse-To-Fine_Extreme-Pose_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014991", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.257", "http://doi.org/10.1109/CVPRW.2017.257"]}, {"id": "c82028f8fc6762e4f02a0001cf9d85e316274598", "title": "Seeing Small Faces from Robust Anchor's Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578636"]}, {"id": "6d10beb027fd7213dd4bccf2427e223662e20b7d", "title": "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d10/beb027fd7213dd4bccf2427e223662e20b7d.pdf"], "doi": []}, {"id": "6eba25166fe461dc388805cc2452d49f5d1cdadd", "title": "ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6eba/25166fe461dc388805cc2452d49f5d1cdadd.pdf"], "doi": []}, {"id": "e50ec6b6d1c189edc127eb403c41a64f34fc0a6c", "title": "Learning Flexible Block based Local Binary Patterns for unconstrained face detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890187"]}, {"id": "5cfe03c5a0518fe554f4c6709bbee8fa1f3ed0e8", "title": "How Useful Is Image Super-resolution to Other Vision Tasks?", "year": "2015", "pdf": [], "doi": []}, {"id": "919a0935d8d127aa5cea44327fc8f47f9724e5d9", "title": "Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/919a/0935d8d127aa5cea44327fc8f47f9724e5d9.pdf"], "doi": []}, {"id": "5a1255d65e8309131638b3eb94aad5c52ab3629a", "title": "Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5a12/55d65e8309131638b3eb94aad5c52ab3629a.pdf"], "doi": []}, {"id": "b3c60b642a1c64699ed069e3740a0edeabf1922c", "title": "Max-Margin Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00046.pdf"], "doi": []}, {"id": "8d4f0517eae232913bf27f516101a75da3249d15", "title": "Event-based Dynamic Face Detection and Tracking Based on Activity.", "year": "2018", "pdf": [], "doi": []}, {"id": "2c61a9e26557dd0fe824909adeadf22a6a0d86b0", "title": "Convolutional Channel Features", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07339.pdf"], "doi": []}, {"id": "aa331fe378056b6d6031bb8fe6676e035ed60d6d", "title": "Object detection using boosted local binaries", "year": "2016", "pdf": ["http://www.cs.sfu.ca/~li/papers-on-line/Haoyu-PR-2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.07.010"]}, {"id": "19d4855f064f0d53cb851e9342025bd8503922e2", "title": "Learning SURF Cascade for Fast and Accurate Object Detection", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d468.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/supp/4989d468s1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf", "https://16cbeb23-a-62cb3a1a-s-sites.googlegroups.com/site/leeplus/publications/learningsurfcascadeforfastandaccurateobjectdetection/cvsurf13.pdf?attachauth=ANoY7cprgGHyp0x1H24zmTyefmyqoRoMJFJxg9j-BM6Rh9vToSM_0gtVNgtcm7pgFG_yr6TS1gMJe7AEGilvP9MEizPWXUkP-NHn4b6wB49ETjP5XUJo93ObOe7SWdAUiCTeHWGdjA3aFjtBPOiSWteKMqeMeteYqnVW7e3NpALb8cnhR4TFfbcT82NKsxTv_XgJNenB-1UGij2Ayg0COitzW-6AVpls1e5yGDCdzMc-Ij8VgOxAWfLbiKzodL1hmPHLsrT4yM_cXV3B0vgpjQSmVzNgViA1s5cANrI-EjUTpxRczBT_RIA%3D&attredirects=3&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619289", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.445", "http://doi.org/10.1109/CVPR.2013.445"]}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "2c1d07f7dad8ab306ee02d58ab9698b436b1cc47", "title": "Exploiting Object Characteristics Using Custom Features for Boosting-Based Classification", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2c1d/07f7dad8ab306ee02d58ab9698b436b1cc47.pdf"], "doi": []}, {"id": "84dcf04802743d9907b5b3ae28b19cbbacd97981", "title": "Face Detection using Deep Learning: An Improved Faster RCNN Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08289.pdf"], "doi": []}, {"id": "d689063294e217f1ec8b83fe4b60e706f1934787", "title": "Simultaneous Face Detection and Pose Estimation Using Convolutional Neural Network Cascade", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8458127", "http://doi.org/10.1109/ACCESS.2018.2869465"]}, {"id": "59c194bc84d604baf09241238dc47806a998df70", "title": "Building a post-compression region-of-interest encryption framework for existing video surveillance systems", "year": "2015", "pdf": ["http://wavelab.at/papers/Unterweger15a.pdf"], "doi": ["http://doi.org/10.1007/s00530-015-0473-6"]}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "e98a30293a80976aa79259d8cae2d06d43f0918e", "title": "An Evidential Pixel-Based Face Blurring Approach", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e98a/30293a80976aa79259d8cae2d06d43f0918e.pdf"], "doi": []}, {"id": "7f5b379b12505d60f9303aab1fea48515d36d098", "title": "Performance Comparison of Deep Learning Techniques for Recognizing Birds in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411873", "http://doi.ieeecomputersociety.org/10.1109/DSC.2018.00052", "http://doi.org/10.1109/DSC.2018.00052"]}, {"id": "53de11d144cd2eda7cf1bb644ae27f8ef2489289", "title": "Extending Detection with Privileged Information via Generalized Distillation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424637", "http://doi.org/10.1109/SPW.2018.00021"]}, {"id": "01125423805e2d140ccb96f33c197ab97f6d4902", "title": "Vehicle detection in aerial imagery : A small target detection benchmark", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2015.11.002", "https://hal.archives-ouvertes.fr/hal-01122605/document", "https://hal.archives-ouvertes.fr/hal-01122605v2/document"]}, {"id": "74ba4ab407b90592ffdf884a20e10006d2223015", "title": "Partial Face Detection in the Mobile Domain", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02117.pdf"], "doi": []}, {"id": "4bf0f8fcc904e7b51a6adb15cd60d4edd950b859", "title": "Detecting and Counting Panicles in Sorghum Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8631417"]}, {"id": "5a7525a6ceb754ce4ed28d8f323c6e52e276bba7", "title": "Accelerating Boosting-Based Face Detection on GPUs", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6337592"]}, {"id": "ad75879082132a73fe173a890a0f414f2c279739", "title": "A comparison of CNN-based face and head detectors for real-time video surveillance applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1809.03336.pdf"], "doi": []}, {"id": "bd90d371dc333aa5a1dd127dbd85670273b32fc7", "title": "Object Detection with Deep Learning: A Review", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05511.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": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "66490b5869822b31d32af7108eaff193fbdb37b0", "title": "Cascade Multi-View Hourglass Model for Robust 3D Face Alignment", "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2018_3dalignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373857", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00064", "http://doi.org/10.1109/FG.2018.00064"]}, {"id": "4700f5954dd9873fbe5b88a7629b71074a95b3c6", "title": "Adapting Classification Cascades to New Domains", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751122"]}, {"id": "5d233e6f23b1c306cf62af49ce66faac2078f967", "title": "Optimal Geometrical Set for Automated Marker Placement to Virtualized Real-Time Facial Emotions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5d23/3e6f23b1c306cf62af49ce66faac2078f967.pdf"], "doi": []}, {"id": "d0fe28afd4b2ab64cf84346ac5d75d5fe6788e4e", "title": "Robust face detection using local CNN and SVM based on kernel combination", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2015.10.139"]}, {"id": "c3a53b308c7a75c66759cbfdf52359d9be4f552b", "title": "On Detecting Partially Occluded Faces with Pose Variations", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8121748", "http://doi.ieeecomputersociety.org/10.1109/ISPAN-FCST-ISCC.2017.16", "http://doi.org/10.1109/ISPAN-FCST-ISCC.2017.16"]}, {"id": "ef5c7e79f3157af726b118316752fded48f2eba3", "title": "Face detection using single cascade of customized features discriminators", "year": "2012", "pdf": [], "doi": []}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813020", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2016.021", "http://doi.org/10.1109/SIBGRAPI.2016.021"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "bdfcc45cfa495939789b73eec7e6e98a4d7e3f41", "title": "A Real-Time Face Detector Based on an End-to-End CNN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275797"]}, {"id": "0af4b7b0cc01fbdae6ba973ed0ae420708d3b051", "title": "Face Detection Based on Multi-parts and Multi-features", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7424575"]}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "795aa8064b34c4bf4acdd8be3f1e5d06da5a7756", "title": "Face-MagNet: Magnifying Feature Maps to Detect Small Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05258.pdf"], "doi": []}, {"id": "13b91ecf02ffeb91497b45a890732818052f5541", "title": "Finding Tiny Faces in the Wild with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578108"]}, {"id": "4e27fec1703408d524d6b7ed805cdb6cba6ca132", "title": "SSD-Sface: Single shot multibox detector for small faces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7714/a5aa27ab5ad4d06a81fbb3e973d3b1002ac1.pdf"], "doi": []}, {"id": "a53a20b01e93f04a37e0ce74100a658d6443591a", "title": "A Kernel matching approach for eye detection in surveillance images", "year": "2017", "pdf": [], "doi": []}, {"id": "020d97ca2bf617b7ffed5a31aa8a27ffa5efadbb", "title": "An Efficient and Flexible FPGA Implementation of a Face Detection System", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/020d/97ca2bf617b7ffed5a31aa8a27ffa5efadbb.pdf"], "doi": []}, {"id": "1c46a33da36d47356cd9189a41c55ac9f5d34847", "title": "An Study on Ear Detection and Its Applications to Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1c46/a33da36d47356cd9189a41c55ac9f5d34847.pdf"], "doi": []}, {"id": "bb070c019c0885232f114c7dca970d2afd9cd828", "title": "A Novel Landmark Detector System for Multi Resolution Frontal Faces", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008089", "http://doi.org/10.1109/DICTA.2014.7008089"]}, {"id": "1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "title": "Face Search at Scale", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/WangOttoJain_FaceSearchAtScale_TPAMI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494641", "http://doi.org/10.1109/TPAMI.2016.2582166", "https://www.ncbi.nlm.nih.gov/pubmed/27333599", "https://www.wikidata.org/entity/Q36059157"]}, {"id": "30861d747c87e2e838c1c30eed334b17cc93cdb6", "title": "Bootstrapping Face Detection with Hard Negative Examples", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02236.pdf"], "doi": []}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "f531ce18befc03489f647560ad3e5639566b39dc", "title": "Boosting Speed and Accuracy in Deformable Part Models for Face Image in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7422386", "http://doi.ieeecomputersociety.org/10.1109/ACOMP.2015.9", "http://doi.org/10.1109/ACOMP.2015.9"]}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "title": "Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb2a/b9caa61b021c1cd7aff6d08163768faba99e.pdf"], "doi": []}, {"id": "9bbaaf095eadd40e3b0f261edf483ad1ae4f3137", "title": "Convolutional herbal prescription building method from multi-scale facial features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.06847.pdf"], "doi": []}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "title": "Nested Shallow CNN-Cascade for Face Detection in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961737"]}, {"id": "1885acea0d24e7b953485f78ec57b2f04e946eaf", "title": "Combining Local and Global Features for 3D Face Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Xiong_Combining_Local_and_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265508", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.297", "http://doi.org/10.1109/ICCVW.2017.297"]}, {"id": "2f5ae4d6cd240ec7bc3f8ada47030e8439125df2", "title": "Efficient Boosted Exemplar-Based Face Detection", "year": "2014", "pdf": ["http://personal.stevens.edu/~hli18/papers/CVPR2014ExemplarFaceDetection_CameraReady.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr14_exemplarfacedetection.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Li_Efficient_Boosted_Exemplar-based_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909634", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.238", "http://doi.org/10.1109/CVPR.2014.238"]}, {"id": "d0ea54f1a97a1922c679f88c6167328da472a259", "title": "Unconstrained Face Detection", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d0ea/54f1a97a1922c679f88c6167328da472a259.pdf"], "doi": []}, {"id": "96faccdddef887673d6007fed8ff2574580cae1f", "title": "Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained \"Hard Faces\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09145.pdf"], "doi": []}, {"id": "65e68384a832282d5e894a3d1e62127475b68754", "title": "Image Cropping Based on Saliency and Semantics", "year": "2017", "pdf": [], "doi": []}, {"id": "c2d39d5a0f476f8fe06a1d8023301e3b3b45236f", "title": "Fast Face Detector Training Using Tailored Views", "year": "2013", "pdf": ["http://users.cecs.anu.edu.au/~jpetterson//papers/2013/KriFerPetBlaetal13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Scherbaum_Fast_Face_Detector_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751465", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.354", "http://doi.org/10.1109/ICCV.2013.354"]}, {"id": "9e09c86543d4b9207ce6216775d7e094d9046120", "title": "Face Detection with Deep Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9e09/c86543d4b9207ce6216775d7e094d9046120.pdf"], "doi": []}, {"id": "aac101dd321e6d2199d8c0b48c543b541c181b66", "title": "USING CONTEXT TO ENHANCE THE UNDERSTANDING OF FACE IMAGES", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/aac1/01dd321e6d2199d8c0b48c543b541c181b66.pdf"], "doi": []}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "10fc3d49c840329db0d2f6d83ab5f2b0bc058a4e", "title": "D\u00e9tection radiale de visages sur images omnidirectionnelles", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a32/c7658757c45fa1f97b48301c00e26d55d070.pdf"], "doi": []}, {"id": "94edf9873c51999a109ff544fb034047708dbb35", "title": "Face and Human Detection Using Gradient Pattern with Binary Histogram Technique", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/94ed/f9873c51999a109ff544fb034047708dbb35.pdf"], "doi": []}, {"id": "085913122bb75391ea8c73f2625f4679fe9cb3b1", "title": "Vector array based Multi-View Face Detection with compound exemplars", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248053", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248053", "http://doi.org/10.1109/CVPR.2012.6248053"]}, {"id": "1add90a3b956011e1503a6d4bdbf41842299bb99", "title": "Detection and matching of facial marks in face images", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1add/90a3b956011e1503a6d4bdbf41842299bb99.pdf"], "doi": []}, {"id": "ea2ee5c53747878f30f6d9c576fd09d388ab0e2b", "title": "Viola-Jones based detectors: how much affects the training set?", "year": "2011", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15079/5/C075_LNCS_IBPRIA11_postprint.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-21257-4_37"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "cbc2de9b919bc63590b6ee2dfd9dda134af45286", "title": "Direct face detection and video reconstruction from event cameras", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477561", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477561", "http://doi.org/10.1109/WACV.2016.7477561"]}, {"id": "cead57f2f7f7b733f4524c4b5a7ba7f271749b5f", "title": "Improving Face Detection Performance by Skin Detection Post-Processing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097326", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.46", "http://doi.org/10.1109/SIBGRAPI.2017.46"]}, {"id": "0c36c988acc9ec239953ff1b3931799af388ef70", "title": "Face Detection Using Improved Faster RCNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02142.pdf"], "doi": []}, {"id": "47294b53e0af2be666867e914b8788a73feb3753", "title": "An FPGA-based Parallel Hardware Architecture for Real-time Eye Detection", "year": "2012", "pdf": ["http://ocean.kisti.re.kr/downfile/volume/ieek/E1STAN/2012/v12n2/E1STAN_2012_v12n2_150.pdf", "http://www.jsts.org/html/journal/journal_files/2012/06/Year2012Volume12_02_04.pdf", "https://pdfs.semanticscholar.org/4729/4b53e0af2be666867e914b8788a73feb3753.pdf"], "doi": ["https://doi.org/10.5573/JSTS.2012.12.2.150"]}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "3e55a750f1fc64ae25cc510beb7aaa8fa4e009d3", "title": "Using social semantic knowledge to improve annotations in personal photo collections", "year": "2014", "pdf": [], "doi": []}, {"id": "25a784f7f8c94c42821ee078587fc38dffcd00a4", "title": "Robust Face Detection via Learning Small Faces on Hard Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11662.pdf"], "doi": []}, {"id": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "8518933a8e23833326011b3993af0335f4c83c49", "title": "Effects of the Unscented Kalman Filter Process for High Performance Face Detector", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8518/933a8e23833326011b3993af0335f4c83c49.pdf"], "doi": []}, {"id": "fe48f0e43dbdeeaf4a03b3837e27f6705783e576", "title": "Supervised Transformer Network for Efficient Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05477.pdf"], "doi": []}, {"id": "37f25732397864b739714aac001ea1574d813b0d", "title": "Face pixel detection using evidential calibration and fusion", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.ijar.2017.09.002"]}, {"id": "be892645c24f800b9b615b496172cd9fac8d5fe8", "title": "Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578686"]}, {"id": "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "title": "Large Scale 3D Morphable Models", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/booth2017large.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1009-7", "https://www.wikidata.org/entity/Q57924212"]}, {"id": "121af7d7fc747c4b36d00668a63c58ee5b368f97", "title": "Data driven analysis of faces from images", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/121a/f7d7fc747c4b36d00668a63c58ee5b368f97.pdf"], "doi": []}, {"id": "940a675de8a48b54bac6b420f551529d2bc53b99", "title": "Advances , Challenges , and Opportunities in Automatic Facial Expression Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/940a/675de8a48b54bac6b420f551529d2bc53b99.pdf"], "doi": []}, {"id": "24d376e4d580fb28fd66bc5e7681f1a8db3b6b78", "title": "Multi-Branch Fully Convolutional Network for Face Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06330.pdf"], "doi": []}, {"id": "de40c5b69c7d3dbb919e89b34c821afc44975278", "title": "FaceMatch: Real-World Face Image Retrieval", "year": "2016", "pdf": ["https://lhncbc.nlm.nih.gov/system/files/pub9450.pdf"], "doi": ["https://doi.org/10.1007/978-981-10-4859-3_36"]}, {"id": "b0c512fcfb7bd6c500429cbda963e28850f2e948", "title": "A Fast and Accurate Unconstrained Face Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1408.1656.pdf"], "doi": []}, {"id": "4c7470fe759b83a104fb6be5190877e96787ed96", "title": "Face detection based on skin color likelihood", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2013.11.005"]}, {"id": "250ebcd1a8da31f0071d07954eea4426bb80644c", "title": "DenseBox: Unifying Landmark Localization with End to End Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.04874.pdf"], "doi": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "8534eea03b25a3cb03f800c149b6e5f2608481a7", "title": "CVUCAMS: Computer Vision Based Unobtrusive Classroom Attendance Management System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8433466"]}, {"id": "544c5a8d30cd39b7797105b1e7c7e79264c1b1c3", "title": "Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578342"]}, {"id": "79dd787b2877cf9ce08762d702589543bda373be", "title": "Face detection using SURF cascade", "year": "2011", "pdf": ["http://face.cs.kit.edu/befit/workshop2011/pdf/slides/jianguo_li-slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130518", "http://doi.org/10.1109/ICCVW.2011.6130518"]}, {"id": "2e16f75194e2c29329b55ea8b82d1ca26ff01fdc", "title": "SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438999"]}, {"id": "e21d96a85df0d2d8cd685316efa216b61a0e1ba8", "title": "A fusion method for blurring faces on platforms using belief functions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e21d/96a85df0d2d8cd685316efa216b61a0e1ba8.pdf"], "doi": []}, {"id": "41ad3d007a217890baef80c9b18fa45d2c82c0e2", "title": "Mobile Face Tracking: A Survey and Benchmark.", "year": "2018", "pdf": [], "doi": []}, {"id": "31d51e48dbd9e7253eafe0719f3788adb564a971", "title": "Visual Phrases for Exemplar Face Detection", "year": "2015", "pdf": ["http://cvit.iiit.ac.in/projects/exemplar/vijayICCV15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410588", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.231", "http://doi.org/10.1109/ICCV.2015.231"]}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "0d5c01814f64f3be401efa4f6495d2677c16a8d8", "title": "Building an intelligent video and image analysis evaluation platform for public security", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078472", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078472", "http://doi.org/10.1109/AVSS.2017.8078472"]}, {"id": "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "title": "FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830820"]}]}
\ No newline at end of file +{"id": "75da1df4ed319926c544eefe17ec8d720feef8c0", "citations": [{"id": "5711400c59a162112c57e9f899147d457537f701", "title": "Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5711/400c59a162112c57e9f899147d457537f701.pdf"], "doi": []}, {"id": "2804e7407cc5c236da84437e0440947a3faa1145", "title": "Mathematical modeling for partial object detection.", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.18297/etd%2F1713"]}, {"id": "1a89f67e8578659e02d3fb94a1c258a80fde8993", "title": "Controlling Humanoid Robot Using Head Movements", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1a89/f67e8578659e02d3fb94a1c258a80fde8993.pdf"], "doi": []}, {"id": "19ddb005ddfbdec5109f6fd0672b38d6079753b1", "title": "Adaptive Thresholds for Robust Face Detection with a Short Cascade of Classifiers", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7081521"]}, {"id": "2f16459e2e24dc91b3b4cac7c6294387d4a0eacf", "title": "Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining", "year": "2018", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2017/triantafyllidou_nousi_tefas_big_data_and_neural_networks.pdf"], "doi": ["http://doi.org/10.1016/j.bdr.2017.06.002"]}, {"id": "f3a4599d501717db1714140a0425971ef4f330ff", "title": "A Novel Face Detection Algorithm for Occluded Images based on the Geometrical Model of Nose Point Extraction", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.12792/icisip2016.050", "https://www2.ia-engineers.org/conference/index.php/icisip/icisip2016/paper/viewFile/1176/764"]}, {"id": "c21b8b8cd5708111ea21d8095c075aef1598efcd", "title": "A novel pixel neighborhood differential statistic feature for pedestrian and face detection", "year": "2017", "pdf": ["http://vahabonline.com/wp-content/uploads/2017/08/A-novel-pixel-neighborhood-differential-statistic__dvfd.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.09.010"]}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "9a90ce38c5ad0fdfd18463a5ad8ff76ff625229e", "title": "IFQ-Net: Integrated Fixed-Point Quantization Networks for Embedded Vision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575253"]}, {"id": "dd41010faa2c848729bc79614f1846a2267f1904", "title": "Cascaded Random Forest for Fast Object Detection", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/dd41/010faa2c848729bc79614f1846a2267f1904.pdf"], "doi": []}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "61db7d306bde0622685450ca38d26da33e00d3b1", "title": "A robust SVM classification framework using PSM for multi-class recognition", "year": "2015", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-015-0061-x"], "doi": ["https://doi.org/10.1186/s13640-015-0061-x"]}, {"id": "86b69b3718b9350c9d2008880ce88cd035828432", "title": "Improving face image extraction by using deep learning technique", "year": "2016", "pdf": ["https://lhncbc.nlm.nih.gov/system/files/pub9332.pdf"], "doi": ["https://doi.org/10.1117/12.2216278"]}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": [], "doi": []}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-018-01617-y"]}, {"id": "f4746bd863991c55a1139982c15d9e49a5f9e905", "title": "Detection of reactions to sound via gaze and global eye motion analysis using camera streaming", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-018-0952-9"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "e585dc6c810264d9f07e38c412379734a920714e", "title": "Facing reality: an industrial view on large scale use of facial expression analysis", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531926"]}, {"id": "4af89578ac237278be310f7660a408b03f12d603", "title": "Large-scale geo-facial image analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "title": "Detecting Faces Using Inside Cascaded Contextual CNN", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhang_Detecting_Faces_Using_ICCV_2017_paper.pdf", "https://ai.tencent.com/ailab/media/publications/Detecting_Faces_Using_Inside_Cascaded_Contextual_CNN.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237606", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.344", "http://doi.org/10.1109/ICCV.2017.344"]}, {"id": "0916866570527b609566404ab80ae066cbd3ca7c", "title": "A Survey of Recent Advances in Face Detection", "year": "2010", "pdf": [], "doi": []}, {"id": "6f7d06ced04ead3b9a5da86b37e7c27bfcedbbdd", "title": "Multi-Scale Fully Convolutional Network for Fast Face Detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6f7d/06ced04ead3b9a5da86b37e7c27bfcedbbdd.pdf"], "doi": []}, {"id": "7360a2adcd6e3fe744b7d7aec5c08ee31094dfd4", "title": "Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models", "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/deep-deformable-convolutional.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373833", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00040", "http://doi.org/10.1109/FG.2018.00040"]}, {"id": "d83583562f3536d5c13f8ca58925362f6878f5f4", "title": "Enhance Visual Recognition under Adverse Conditions via Deep Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07732.pdf"], "doi": []}, {"id": "14d4c019c3eac3c3fa888cb8c184f31457eced02", "title": "Robust Subspace Discovery via Relaxed Rank Minimization", "year": "2014", "pdf": ["http://ita.ucsd.edu/workshop/13/files/paper/paper_2646.pdf", "http://mc.eistar.net/~xwang/res/subspace_v7.pdf", "http://mclab.eic.hust.edu.cn/~xwang/pubs/subspace_v7.pdf", "http://pages.ucsd.edu/~ztu/publication/NECO-Subspace.pdf", "http://yima.csl.illinois.edu/psfile/subspace_discovery_v7.pdf"], "doi": ["https://doi.org/10.1162/NECO_a_00555", "http://dspace.mit.edu/openaccess-disseminate/1721.1/87586", "https://www.ncbi.nlm.nih.gov/pubmed/24320845", "https://www.wikidata.org/entity/Q46288980"]}, {"id": "5d32b19bf1c250c811ba56c37e87b8acda27aef1", "title": "Face region authentication and recovery system based on SPIHT and watermarking", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-014-2006-2"]}, {"id": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789676", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.186", "http://doi.org/10.1109/CVPRW.2016.186"]}, {"id": "c444c4dab97dd6d6696f56c1cacda051dde60448", "title": "Multiview Face Detection and Registration Requiring Minimal Manual Intervention", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6461885", "http://doi.org/10.1109/TPAMI.2013.37", "https://www.ncbi.nlm.nih.gov/pubmed/23969391", "https://www.wikidata.org/entity/Q51170597"]}, {"id": "f8f57790f190cc7fbbb7d5fdbbf7545e11e91b67", "title": "Automatic stenosis detection using SVM from CTA projection images", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00530-017-0578-1"]}, {"id": "2d88e7922d9f046ace0234f9f96f570ee848a5b5", "title": "Building Better Detection with Privileged Information", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d88/e7922d9f046ace0234f9f96f570ee848a5b5.pdf"], "doi": []}, {"id": "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "title": "PyramidBox: A Context-assisted Single Shot Face Detector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07737.pdf"], "doi": []}, {"id": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.pdf"], "doi": []}, {"id": "a533ce73fe37e304bf47218a4acb817402086674", "title": "Content-based Video Summarization in Object Maps", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/a533/ce73fe37e304bf47218a4acb817402086674.pdf"], "doi": []}, {"id": "8a6033cbba8598945bfadd2dd04023c2a9f31681", "title": "3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Xiao_3D-Assisted_Coarse-To-Fine_Extreme-Pose_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014991", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.257", "http://doi.org/10.1109/CVPRW.2017.257"]}, {"id": "c82028f8fc6762e4f02a0001cf9d85e316274598", "title": "Seeing Small Faces from Robust Anchor's Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578636"]}, {"id": "6d10beb027fd7213dd4bccf2427e223662e20b7d", "title": "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d10/beb027fd7213dd4bccf2427e223662e20b7d.pdf"], "doi": []}, {"id": "6eba25166fe461dc388805cc2452d49f5d1cdadd", "title": "ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6eba/25166fe461dc388805cc2452d49f5d1cdadd.pdf"], "doi": []}, {"id": "e50ec6b6d1c189edc127eb403c41a64f34fc0a6c", "title": "Learning Flexible Block based Local Binary Patterns for unconstrained face detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890187"]}, {"id": "5cfe03c5a0518fe554f4c6709bbee8fa1f3ed0e8", "title": "How Useful Is Image Super-resolution to Other Vision Tasks?", "year": "2015", "pdf": [], "doi": []}, {"id": "919a0935d8d127aa5cea44327fc8f47f9724e5d9", "title": "Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/919a/0935d8d127aa5cea44327fc8f47f9724e5d9.pdf"], "doi": []}, {"id": "5a1255d65e8309131638b3eb94aad5c52ab3629a", "title": "Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5a12/55d65e8309131638b3eb94aad5c52ab3629a.pdf"], "doi": []}, {"id": "b3c60b642a1c64699ed069e3740a0edeabf1922c", "title": "Max-Margin Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00046.pdf"], "doi": []}, {"id": "8d4f0517eae232913bf27f516101a75da3249d15", "title": "Event-based Dynamic Face Detection and Tracking Based on Activity.", "year": "2018", "pdf": [], "doi": []}, {"id": "2c61a9e26557dd0fe824909adeadf22a6a0d86b0", "title": "Convolutional Channel Features", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.07339.pdf"], "doi": []}, {"id": "aa331fe378056b6d6031bb8fe6676e035ed60d6d", "title": "Object detection using boosted local binaries", "year": "2016", "pdf": ["http://www.cs.sfu.ca/~li/papers-on-line/Haoyu-PR-2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.07.010"]}, {"id": "19d4855f064f0d53cb851e9342025bd8503922e2", "title": "Learning SURF Cascade for Fast and Accurate Object Detection", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d468.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/supp/4989d468s1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf", "https://16cbeb23-a-62cb3a1a-s-sites.googlegroups.com/site/leeplus/publications/learningsurfcascadeforfastandaccurateobjectdetection/cvsurf13.pdf?attachauth=ANoY7cprgGHyp0x1H24zmTyefmyqoRoMJFJxg9j-BM6Rh9vToSM_0gtVNgtcm7pgFG_yr6TS1gMJe7AEGilvP9MEizPWXUkP-NHn4b6wB49ETjP5XUJo93ObOe7SWdAUiCTeHWGdjA3aFjtBPOiSWteKMqeMeteYqnVW7e3NpALb8cnhR4TFfbcT82NKsxTv_XgJNenB-1UGij2Ayg0COitzW-6AVpls1e5yGDCdzMc-Ij8VgOxAWfLbiKzodL1hmPHLsrT4yM_cXV3B0vgpjQSmVzNgViA1s5cANrI-EjUTpxRczBT_RIA%3D&attredirects=3&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619289", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.445", "http://doi.org/10.1109/CVPR.2013.445"]}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "2c1d07f7dad8ab306ee02d58ab9698b436b1cc47", "title": "Exploiting Object Characteristics Using Custom Features for Boosting-Based Classification", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2c1d/07f7dad8ab306ee02d58ab9698b436b1cc47.pdf"], "doi": []}, {"id": "84dcf04802743d9907b5b3ae28b19cbbacd97981", "title": "Face Detection using Deep Learning: An Improved Faster RCNN Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08289.pdf"], "doi": []}, {"id": "d689063294e217f1ec8b83fe4b60e706f1934787", "title": "Simultaneous Face Detection and Pose Estimation Using Convolutional Neural Network Cascade", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8458127", "http://doi.org/10.1109/ACCESS.2018.2869465"]}, {"id": "59c194bc84d604baf09241238dc47806a998df70", "title": "Building a post-compression region-of-interest encryption framework for existing video surveillance systems", "year": "2015", "pdf": ["http://wavelab.at/papers/Unterweger15a.pdf"], "doi": ["http://doi.org/10.1007/s00530-015-0473-6"]}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "e98a30293a80976aa79259d8cae2d06d43f0918e", "title": "An Evidential Pixel-Based Face Blurring Approach", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e98a/30293a80976aa79259d8cae2d06d43f0918e.pdf"], "doi": []}, {"id": "7f5b379b12505d60f9303aab1fea48515d36d098", "title": "Performance Comparison of Deep Learning Techniques for Recognizing Birds in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411873", "http://doi.ieeecomputersociety.org/10.1109/DSC.2018.00052", "http://doi.org/10.1109/DSC.2018.00052"]}, {"id": "53de11d144cd2eda7cf1bb644ae27f8ef2489289", "title": "Extending Detection with Privileged Information via Generalized Distillation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424637", "http://doi.org/10.1109/SPW.2018.00021"]}, {"id": "01125423805e2d140ccb96f33c197ab97f6d4902", "title": "Vehicle detection in aerial imagery : A small target detection benchmark", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2015.11.002", "https://hal.archives-ouvertes.fr/hal-01122605/document", "https://hal.archives-ouvertes.fr/hal-01122605v2/document"]}, {"id": "74ba4ab407b90592ffdf884a20e10006d2223015", "title": "Partial Face Detection in the Mobile Domain", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02117.pdf"], "doi": []}, {"id": "4bf0f8fcc904e7b51a6adb15cd60d4edd950b859", "title": "Detecting and Counting Panicles in Sorghum Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8631417"]}, {"id": "5a7525a6ceb754ce4ed28d8f323c6e52e276bba7", "title": "Accelerating Boosting-Based Face Detection on GPUs", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6337592"]}, {"id": "ad75879082132a73fe173a890a0f414f2c279739", "title": "A comparison of CNN-based face and head detectors for real-time video surveillance applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1809.03336.pdf"], "doi": []}, {"id": "bd90d371dc333aa5a1dd127dbd85670273b32fc7", "title": "Object Detection with Deep Learning: A Review", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05511.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": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "66490b5869822b31d32af7108eaff193fbdb37b0", "title": "Cascade Multi-View Hourglass Model for Robust 3D Face Alignment", "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2018_3dalignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373857", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00064", "http://doi.org/10.1109/FG.2018.00064"]}, {"id": "4700f5954dd9873fbe5b88a7629b71074a95b3c6", "title": "Adapting Classification Cascades to New Domains", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751122"]}, {"id": "5d233e6f23b1c306cf62af49ce66faac2078f967", "title": "Optimal Geometrical Set for Automated Marker Placement to Virtualized Real-Time Facial Emotions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5d23/3e6f23b1c306cf62af49ce66faac2078f967.pdf"], "doi": []}, {"id": "d0fe28afd4b2ab64cf84346ac5d75d5fe6788e4e", "title": "Robust face detection using local CNN and SVM based on kernel combination", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2015.10.139"]}, {"id": "c3a53b308c7a75c66759cbfdf52359d9be4f552b", "title": "On Detecting Partially Occluded Faces with Pose Variations", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8121748", "http://doi.ieeecomputersociety.org/10.1109/ISPAN-FCST-ISCC.2017.16", "http://doi.org/10.1109/ISPAN-FCST-ISCC.2017.16"]}, {"id": "ef5c7e79f3157af726b118316752fded48f2eba3", "title": "Face detection using single cascade of customized features discriminators", "year": "2012", "pdf": [], "doi": []}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813020", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2016.021", "http://doi.org/10.1109/SIBGRAPI.2016.021"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "bdfcc45cfa495939789b73eec7e6e98a4d7e3f41", "title": "A Real-Time Face Detector Based on an End-to-End CNN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275797"]}, {"id": "0af4b7b0cc01fbdae6ba973ed0ae420708d3b051", "title": "Face Detection Based on Multi-parts and Multi-features", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7424575"]}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "795aa8064b34c4bf4acdd8be3f1e5d06da5a7756", "title": "Face-MagNet: Magnifying Feature Maps to Detect Small Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05258.pdf"], "doi": []}, {"id": "13b91ecf02ffeb91497b45a890732818052f5541", "title": "Finding Tiny Faces in the Wild with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578108"]}, {"id": "4e27fec1703408d524d6b7ed805cdb6cba6ca132", "title": "SSD-Sface: Single shot multibox detector for small faces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7714/a5aa27ab5ad4d06a81fbb3e973d3b1002ac1.pdf"], "doi": []}, {"id": "a53a20b01e93f04a37e0ce74100a658d6443591a", "title": "A Kernel matching approach for eye detection in surveillance images", "year": "2017", "pdf": [], "doi": []}, {"id": "020d97ca2bf617b7ffed5a31aa8a27ffa5efadbb", "title": "An Efficient and Flexible FPGA Implementation of a Face Detection System", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/020d/97ca2bf617b7ffed5a31aa8a27ffa5efadbb.pdf"], "doi": []}, {"id": "1c46a33da36d47356cd9189a41c55ac9f5d34847", "title": "An Study on Ear Detection and Its Applications to Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1c46/a33da36d47356cd9189a41c55ac9f5d34847.pdf"], "doi": []}, {"id": "bb070c019c0885232f114c7dca970d2afd9cd828", "title": "A Novel Landmark Detector System for Multi Resolution Frontal Faces", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008089", "http://doi.org/10.1109/DICTA.2014.7008089"]}, {"id": "1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "title": "Face Search at Scale", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/WangOttoJain_FaceSearchAtScale_TPAMI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494641", "http://doi.org/10.1109/TPAMI.2016.2582166", "https://www.ncbi.nlm.nih.gov/pubmed/27333599", "https://www.wikidata.org/entity/Q36059157"]}, {"id": "30861d747c87e2e838c1c30eed334b17cc93cdb6", "title": "Bootstrapping Face Detection with Hard Negative Examples", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02236.pdf"], "doi": []}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "f531ce18befc03489f647560ad3e5639566b39dc", "title": "Boosting Speed and Accuracy in Deformable Part Models for Face Image in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7422386", "http://doi.ieeecomputersociety.org/10.1109/ACOMP.2015.9", "http://doi.org/10.1109/ACOMP.2015.9"]}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "title": "Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb2a/b9caa61b021c1cd7aff6d08163768faba99e.pdf"], "doi": []}, {"id": "9bbaaf095eadd40e3b0f261edf483ad1ae4f3137", "title": "Convolutional herbal prescription building method from multi-scale facial features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.06847.pdf"], "doi": []}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "1b331be4b5f0b2023c4ca135683fb5ea99e78247", "title": "Nested Shallow CNN-Cascade for Face Detection in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961737"]}, {"id": "1885acea0d24e7b953485f78ec57b2f04e946eaf", "title": "Combining Local and Global Features for 3D Face Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Xiong_Combining_Local_and_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265508", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.297", "http://doi.org/10.1109/ICCVW.2017.297"]}, {"id": "2f5ae4d6cd240ec7bc3f8ada47030e8439125df2", "title": "Efficient Boosted Exemplar-Based Face Detection", "year": "2014", "pdf": ["http://personal.stevens.edu/~hli18/papers/CVPR2014ExemplarFaceDetection_CameraReady.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr14_exemplarfacedetection.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Li_Efficient_Boosted_Exemplar-based_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909634", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.238", "http://doi.org/10.1109/CVPR.2014.238"]}, {"id": "d0ea54f1a97a1922c679f88c6167328da472a259", "title": "Unconstrained Face Detection", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d0ea/54f1a97a1922c679f88c6167328da472a259.pdf"], "doi": []}, {"id": "96faccdddef887673d6007fed8ff2574580cae1f", "title": "Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained \"Hard Faces\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09145.pdf"], "doi": []}, {"id": "65e68384a832282d5e894a3d1e62127475b68754", "title": "Image Cropping Based on Saliency and Semantics", "year": "2017", "pdf": [], "doi": []}, {"id": "c2d39d5a0f476f8fe06a1d8023301e3b3b45236f", "title": "Fast Face Detector Training Using Tailored Views", "year": "2013", "pdf": ["http://users.cecs.anu.edu.au/~jpetterson//papers/2013/KriFerPetBlaetal13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Scherbaum_Fast_Face_Detector_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751465", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.354", "http://doi.org/10.1109/ICCV.2013.354"]}, {"id": "9e09c86543d4b9207ce6216775d7e094d9046120", "title": "Face Detection with Deep Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9e09/c86543d4b9207ce6216775d7e094d9046120.pdf"], "doi": []}, {"id": "aac101dd321e6d2199d8c0b48c543b541c181b66", "title": "USING CONTEXT TO ENHANCE THE UNDERSTANDING OF FACE IMAGES", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/aac1/01dd321e6d2199d8c0b48c543b541c181b66.pdf"], "doi": []}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "10fc3d49c840329db0d2f6d83ab5f2b0bc058a4e", "title": "D\u00e9tection radiale de visages sur images omnidirectionnelles", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a32/c7658757c45fa1f97b48301c00e26d55d070.pdf"], "doi": []}, {"id": "94edf9873c51999a109ff544fb034047708dbb35", "title": "Face and Human Detection Using Gradient Pattern with Binary Histogram Technique", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/94ed/f9873c51999a109ff544fb034047708dbb35.pdf"], "doi": []}, {"id": "085913122bb75391ea8c73f2625f4679fe9cb3b1", "title": "Vector array based Multi-View Face Detection with compound exemplars", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248053", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248053", "http://doi.org/10.1109/CVPR.2012.6248053"]}, {"id": "1add90a3b956011e1503a6d4bdbf41842299bb99", "title": "Detection and matching of facial marks in face images", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1add/90a3b956011e1503a6d4bdbf41842299bb99.pdf"], "doi": []}, {"id": "ea2ee5c53747878f30f6d9c576fd09d388ab0e2b", "title": "Viola-Jones based detectors: how much affects the training set?", "year": "2011", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15079/5/C075_LNCS_IBPRIA11_postprint.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-21257-4_37"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "cbc2de9b919bc63590b6ee2dfd9dda134af45286", "title": "Direct face detection and video reconstruction from event cameras", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477561", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477561", "http://doi.org/10.1109/WACV.2016.7477561"]}, {"id": "cead57f2f7f7b733f4524c4b5a7ba7f271749b5f", "title": "Improving Face Detection Performance by Skin Detection Post-Processing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097326", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.46", "http://doi.org/10.1109/SIBGRAPI.2017.46"]}, {"id": "0c36c988acc9ec239953ff1b3931799af388ef70", "title": "Face Detection Using Improved Faster RCNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02142.pdf"], "doi": []}, {"id": "47294b53e0af2be666867e914b8788a73feb3753", "title": "An FPGA-based Parallel Hardware Architecture for Real-time Eye Detection", "year": "2012", "pdf": ["http://ocean.kisti.re.kr/downfile/volume/ieek/E1STAN/2012/v12n2/E1STAN_2012_v12n2_150.pdf", "http://www.jsts.org/html/journal/journal_files/2012/06/Year2012Volume12_02_04.pdf", "https://pdfs.semanticscholar.org/4729/4b53e0af2be666867e914b8788a73feb3753.pdf"], "doi": ["https://doi.org/10.5573/JSTS.2012.12.2.150"]}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "3e55a750f1fc64ae25cc510beb7aaa8fa4e009d3", "title": "Using social semantic knowledge to improve annotations in personal photo collections", "year": "2014", "pdf": [], "doi": []}, {"id": "25a784f7f8c94c42821ee078587fc38dffcd00a4", "title": "Robust Face Detection via Learning Small Faces on Hard Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11662.pdf"], "doi": []}, {"id": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "8518933a8e23833326011b3993af0335f4c83c49", "title": "Effects of the Unscented Kalman Filter Process for High Performance Face Detector", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8518/933a8e23833326011b3993af0335f4c83c49.pdf"], "doi": []}, {"id": "fe48f0e43dbdeeaf4a03b3837e27f6705783e576", "title": "Supervised Transformer Network for Efficient Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05477.pdf"], "doi": []}, {"id": "37f25732397864b739714aac001ea1574d813b0d", "title": "Face pixel detection using evidential calibration and fusion", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.ijar.2017.09.002"]}, {"id": "be892645c24f800b9b615b496172cd9fac8d5fe8", "title": "Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578686"]}, {"id": "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "title": "Large Scale 3D Morphable Models", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/booth2017large.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1009-7", "https://www.wikidata.org/entity/Q57924212"]}, {"id": "121af7d7fc747c4b36d00668a63c58ee5b368f97", "title": "Data driven analysis of faces from images", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/121a/f7d7fc747c4b36d00668a63c58ee5b368f97.pdf"], "doi": []}, {"id": "940a675de8a48b54bac6b420f551529d2bc53b99", "title": "Advances , Challenges , and Opportunities in Automatic Facial Expression Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/940a/675de8a48b54bac6b420f551529d2bc53b99.pdf"], "doi": []}, {"id": "24d376e4d580fb28fd66bc5e7681f1a8db3b6b78", "title": "Multi-Branch Fully Convolutional Network for Face Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06330.pdf"], "doi": []}, {"id": "de40c5b69c7d3dbb919e89b34c821afc44975278", "title": "FaceMatch: Real-World Face Image Retrieval", "year": "2016", "pdf": ["https://lhncbc.nlm.nih.gov/system/files/pub9450.pdf"], "doi": ["https://doi.org/10.1007/978-981-10-4859-3_36"]}, {"id": "b0c512fcfb7bd6c500429cbda963e28850f2e948", "title": "A Fast and Accurate Unconstrained Face Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1408.1656.pdf"], "doi": []}, {"id": "4c7470fe759b83a104fb6be5190877e96787ed96", "title": "Face detection based on skin color likelihood", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2013.11.005"]}, {"id": "250ebcd1a8da31f0071d07954eea4426bb80644c", "title": "DenseBox: Unifying Landmark Localization with End to End Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.04874.pdf"], "doi": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "8534eea03b25a3cb03f800c149b6e5f2608481a7", "title": "CVUCAMS: Computer Vision Based Unobtrusive Classroom Attendance Management System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8433466"]}, {"id": "544c5a8d30cd39b7797105b1e7c7e79264c1b1c3", "title": "Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578342"]}, {"id": "79dd787b2877cf9ce08762d702589543bda373be", "title": "Face detection using SURF cascade", "year": "2011", "pdf": ["http://face.cs.kit.edu/befit/workshop2011/pdf/slides/jianguo_li-slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130518", "http://doi.org/10.1109/ICCVW.2011.6130518"]}, {"id": "2e16f75194e2c29329b55ea8b82d1ca26ff01fdc", "title": "SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438999"]}, {"id": "e21d96a85df0d2d8cd685316efa216b61a0e1ba8", "title": "A fusion method for blurring faces on platforms using belief functions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e21d/96a85df0d2d8cd685316efa216b61a0e1ba8.pdf"], "doi": []}, {"id": "41ad3d007a217890baef80c9b18fa45d2c82c0e2", "title": "Mobile Face Tracking: A Survey and Benchmark.", "year": "2018", "pdf": [], "doi": []}, {"id": "31d51e48dbd9e7253eafe0719f3788adb564a971", "title": "Visual Phrases for Exemplar Face Detection", "year": "2015", "pdf": ["http://cvit.iiit.ac.in/projects/exemplar/vijayICCV15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kumar_Visual_Phrases_for_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410588", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.231", "http://doi.org/10.1109/ICCV.2015.231"]}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "0d5c01814f64f3be401efa4f6495d2677c16a8d8", "title": "Building an intelligent video and image analysis evaluation platform for public security", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078472", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078472", "http://doi.org/10.1109/AVSS.2017.8078472"]}, {"id": "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "title": "FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830820"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/fiw_300.json b/site/datasets/unknown/fiw_300.json index e645fe24..c4547b5a 100644 --- a/site/datasets/unknown/fiw_300.json +++ b/site/datasets/unknown/fiw_300.json @@ -1 +1 @@ -{"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "citations": [{"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "20532b1f80b509f2332b6cfc0126c0f80f438f10", "title": "A Deep Matrix Factorization Method for Learning Attribute Representations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.03248.pdf"], "doi": []}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a", "title": "Neural Networks Regularization Through Representation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05292.pdf"], "doi": []}, {"id": "78a4cabf0afc94da123e299df5b32550cd638939", "title": "Multi-view face recognition from single RGBD models of the faces", "year": "2017", "pdf": ["https://engineering.purdue.edu/kak/FaceRecognitionUnconstrainedPurdueRVL.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.04.008"]}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "9ab963e473829739475b9e47514f454ab467a5af", "title": "A Fully End-to-End Cascaded CNN for Facial Landmark Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961742", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.33", "http://doi.org/10.1109/FG.2017.33"]}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "title": "Improved Strategies for HPE Employing Learning-by-Synthesis Approaches", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Larumbe_Improved_Strategies_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.182", "http://doi.org/10.1109/ICCVW.2017.182"]}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "12d8730da5aab242795bdff17b30b6e0bac82998", "title": "Persistent Evidence of Local Image Properties in Generic ConvNets", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6509.pdf"], "doi": []}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "350108a9dbb746dc6f127d98342c07d8019e3f46", "title": "Multi-view facial landmark detection by using a 3D shape model", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.003"]}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"id": "aa643738532a593e739b5468ddff7ebd4c371b47", "title": "Facial Landmark Detection: A Literature Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05563.pdf"], "doi": []}, {"id": "621c08bd34297627c9b7ec7f7eb7a47b8d602a97", "title": "Synergy between Face Alignment and Tracking via Discriminative Global Consensus Optimization", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/44755/1/1859.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Khan_Synergy_Between_Face_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237671", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.409", "http://doi.org/10.1109/ICCV.2017.409"]}, {"id": "74419de59b2dd7d0a16484aa2aac621df514f5c4", "title": "Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00966.pdf"], "doi": []}, {"id": "1b0a071450c419138432c033f722027ec88846ea", "title": "Looking at faces in a vehicle: A deep CNN based approach and evaluation", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediITSC2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795622", "http://doi.org/10.1109/ITSC.2016.7795622"]}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "0c1314d98bb6b99af00817644c1803dbc0fb5ff5", "title": "Model of Human Visual Cortex Inspired Computational Models for Visual Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153860", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2015.29", "http://doi.org/10.1109/BigMM.2015.29"]}, {"id": "6e48b90fd1eed0c2e2f3b1a22a09b2675c1aaa02", "title": "Developing an Affect-Aware Rear-Projected Robotic Agent", "year": "2018", "pdf": [], "doi": []}, {"id": "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "title": "Input/Output Deep Architecture for Structured Output Problems", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07550"]}, {"id": "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "title": "2 New Statement for Structured Output Regression Problems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/891b/10c4b3b92ca30c9b93170ec9abd71f6099c4.pdf"], "doi": []}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "b45a9f95980c434582c920bf15a8099ec267c1f7", "title": "Robust Kronecker Component Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06432.pdf"], "doi": []}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "year": "2017", "pdf": [], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "0a1138276c52c734b67b30de0bf3f76b0351f097", "title": "Discriminant Incoherent Component Analysis", "year": "2016", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/georgakis_dica.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7428896", "http://doi.org/10.1109/TIP.2016.2539502", "https://www.ncbi.nlm.nih.gov/pubmed/27008268", "https://www.ncbi.nlm.nih.gov/pubmed/28113464", "https://www.wikidata.org/entity/Q39005047"]}, {"id": "a9116f261c1b6ca543cba3ee95f846ef3934efad", "title": "Facial Component-Landmark Detection With Weakly-Supervised LR-CNN", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598858"]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "656a59954de3c9fcf82ffcef926af6ade2f3fdb5", "title": "Convolutional Network Representation for Visual Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/656a/59954de3c9fcf82ffcef926af6ade2f3fdb5.pdf"], "doi": []}, {"id": "5aafca76dbbbbaefd82f5f0265776afb5320dafe", "title": "Empirical analysis of cascade deformable models for multi-view face detection", "year": "2015", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_empirical_analysis_of_cascade_deformable_models_for_multi-view_face_detection.pdf", "http://doc.utwente.nl/95219/1/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://eprints.eemcs.utwente.nl/24551/01/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/jorozco_imavis_2015.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.07.002"]}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "49258cc3979103681848284470056956b77caf80", "title": "EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors", "year": "2017", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/epat-euclidean-perturbation.pdf?attachauth=ANoY7crlk9caZscfn0KRjed81DVoV-Ec6ZHI7txQrJiM_NBic36WKIg-ODwefcBtfgfKdS1iX28MlSXNyB7pE0D7opPjlGqxBVVa1UuIiydhFOgkXlXGfrYqSPS6749JeYWDkfvwWraRfB_CK8bu77jAEA2sIVNgaVRa_7zvmzwnstLwSUowbYC1LRc5yDt8ieT_jdEb_TuhMgR2j03BdHgyUkVjl0TXRukYHWglDOxzHAKwj0vsb4U%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961745", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.36", "http://doi.org/10.1109/FG.2017.36"]}, {"id": "eaf020bc8a3ed5401fc3852f7037a03b2525586a", "title": "Adversarially Optimizing Intersection over Union for Object Localization Tasks", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1710.07735"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "8e36100cb144685c26e46ad034c524b830b8b2f2", "title": "Modeling Facial Geometry using Compositional", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8e36/100cb144685c26e46ad034c524b830b8b2f2.pdf"], "doi": []}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "6f2dc51d607f491dbe6338711c073620c85351ac", "title": "Capturing correlations of local features for image representation", "year": "2016", "pdf": ["http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/2Pool_nc_20150720.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.07.134"]}, {"id": "3727ac3d50e31a394b200029b2c350073c1b69e3", "title": "Facial Expression Recognition from World Wild Web", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03639.pdf"], "doi": []}, {"id": "ec27b3d1548909d3f55246a388d768cf51e65802", "title": "Face Mask Extraction in Video Sequence", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09207.pdf"], "doi": []}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "2f9c173ccd8c1e6b88d7fb95d6679838bc9ca51d", "title": "Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02917.pdf"], "doi": []}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "64cac22210861d4e9afb00b781da90cf99f9d19c", "title": "Facial Landmark Detection for Manga Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03214.pdf"], "doi": []}, {"id": "58823377757e7dc92f3b70a973be697651089756", "title": "Automatic facial expression analysis", "year": "2014", "pdf": ["http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-861.pdf", "http://www.cl.cam.ac.uk/~tb346/pub/thesis/phd_thesis.pdf"], "doi": ["http://doi.org/10.17863/CAM.16382", "http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600539"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1111/cgf.12760"]}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373908", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00115", "http://doi.org/10.1109/FG.2018.00115"]}, {"id": "1ddea58d04e29069b583ac95bc0ae9bebb0bed07", "title": "An Efficient Model for Simultaneous Face Detection, Pose Estimation and Landmark Localisation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371751", "http://doi.org/10.1109/KSE.2015.50"]}, {"id": "4068574b8678a117d9a434360e9c12fe6232dae0", "title": "Automatic Construction of Deformable Models In-the-Wild", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Antonakos_Automatic_Construction_of_2014_CVPR_paper.pdf", "http://www.visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2031.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909630", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.234", "http://doi.org/10.1109/CVPR.2014.234"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "2df4d05119fe3fbf1f8112b3ad901c33728b498a", "title": "A regularization scheme for structured output problems : an application to facial landmark detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2df4/d05119fe3fbf1f8112b3ad901c33728b498a.pdf"], "doi": []}, {"id": "48e77ff21d8fccccd9709b02f2de94b331c503d6", "title": "Modeling Facial Geometry Using Compositional VAEs", "year": "2018", "pdf": ["https://infoscience.epfl.ch/record/255014/files/bagautdinov.cvae.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578506", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00408", "http://doi.org/10.1109/CVPR.2018.00408"]}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "title": "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03887.pdf"], "doi": []}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "6d10beb027fd7213dd4bccf2427e223662e20b7d", "title": "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d10/beb027fd7213dd4bccf2427e223662e20b7d.pdf"], "doi": []}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face Alignment", "year": "2018", "pdf": [], "doi": []}, {"id": "b908edadad58c604a1e4b431f69ac8ded350589a", "title": "Deep Face Feature for Face Alignment", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02721.pdf"], "doi": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.07.007", "https://doi.org/10.1016/j.cviu.2015.07.007"]}, {"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": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": [], "doi": []}, {"id": "4a4f0a47de1567f3f913e2632921797df36b2525", "title": "Synthetic Prior Design for Real-Time Face Tracking", "year": "2016", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20161010224923/Synthetic-Prior-Design-for-Real-Time-Face-Tracking-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785140", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.72", "http://doi.org/10.1109/3DV.2016.72"]}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "b934f730a81c071dbfc08eb4c360d6fca2daa08f", "title": "Characteristic number regression for facial feature extraction", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177496", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177496", "http://doi.org/10.1109/ICME.2015.7177496"]}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "6932baa348943507d992aba75402cfe8545a1a9b", "title": "Stacked Hourglass Network for Robust Facial Landmark Localisation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Yang_Stacked_Hourglass_Network_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.253", "http://doi.org/10.1109/CVPRW.2017.253"]}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"id": "24e099e77ae7bae3df2bebdc0ee4e00acca71250", "title": "Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation", "year": "2015", "pdf": ["http://users.cecs.anu.edu.au/~hexm/papers/heng_tip.pdf", "http://www.eecs.qmul.ac.uk/~ioannisp/pubs/ecopies/2015-TIP-Yang-Patras-Robust-Face-Alignment-under-Occlusion-final-submitted.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22467/Yang%20Robust%20Face%20Alignment%20Under%20Occlusion%20via%20Regional%20Predictive%20Power%20Estimation%202015%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7084187", "http://doi.org/10.1109/TIP.2015.2421438", "https://www.ncbi.nlm.nih.gov/pubmed/25872211", "https://www.wikidata.org/entity/Q41075453"]}, {"id": "5180c98815d7034e753a14ef6f54583f115da3aa", "title": "Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107971", "http://doi.ieeecomputersociety.org/10.1109/iV.2017.40", "http://doi.org/10.1109/iV.2017.40"]}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "5cf12787b9ee536817c0429700c75b98f04192ba", "title": "A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05806.pdf"], "doi": []}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393", "http://doi.org/10.1109/CVPR.2017.393"]}, {"id": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without Face Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "title": "Large Scale 3D Morphable Models", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/booth2017large.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1009-7", "https://www.wikidata.org/entity/Q57924212"]}, {"id": "a6ce2f0795839d9c2543d64a08e043695887e0eb", "title": "Driver Gaze Region Estimation Without Using Eye Movement", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.04760.pdf"], "doi": []}, {"id": "ff93f127081f54855d1612b39260489a2d9baa0b", "title": "Facial 3D model registration under occlusions with sensiblepoints-based reinforced hypothesis refinement", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00531.pdf"], "doi": []}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "08b70ab782141a2d7003226a0f438a6aea0a0d46", "title": "Parametrizing Fully Convolutional Nets", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08b7/0ab782141a2d7003226a0f438a6aea0a0d46.pdf"], "doi": []}, {"id": "24c442ac3f6802296d71b1a1914b5d44e48b4f29", "title": "Pose and Expression-Coherent Face Recovery in the Wild", "year": "2015", "pdf": ["http://vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w24/papers/Burgos-Artizzu_Pose_and_Expression-Coherent_ICCV_2015_paper.pdf", "http://www.vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406466", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.117", "http://doi.org/10.1109/ICCVW.2015.117"]}, {"id": "b599f323ee17f12bf251aba928b19a09bfbb13bb", "title": "Autonomous Quadcopter Videographer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b599/f323ee17f12bf251aba928b19a09bfbb13bb.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "6ebc601bba067af64b57d59039319650168df4c9", "title": "CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.00980.pdf"], "doi": []}, {"id": "0a4f3a423a37588fde9a2db71f114b293fc09c50", "title": "Computer analysis of face beauty: A survey", "year": "2014", "pdf": ["http://porto.polito.it/2541099/1/Analyzing_human_beauty_R2_2.0.pdf", "https://iris.polito.it/retrieve/handle/11583/2541099/62404/Analyzing%20human%20beauty%20-%20R2%20-%202.0.pdf", "https://pdfs.semanticscholar.org/0a4f/3a423a37588fde9a2db71f114b293fc09c50.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.04.006"]}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "33ae696546eed070717192d393f75a1583cd8e2c", "title": "Subspace selection to suppress confounding source domain information in AAM transfer learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08508.pdf"], "doi": []}, {"id": "d1777d3ea950e6aac92dd359075701bc28ba1cb2", "title": "Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Gu_Dynamic_Facial_Analysis_CVPR_2017_paper.pdf", "http://research.nvidia.com/sites/default/files/pubs/2017-07_Dynamic-Facial-Analysis/rnnface.pdf", "http://www.gujinwei.org/pdfs/rnnface.pdf", "http://xiaodongyang.org/publications/papers/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.167", "http://doi.org/10.1109/CVPR.2017.167"]}, {"id": "d06bcb2d46342ee011e652990edf290a0876b502", "title": "Photo-realistic Face Images Synthesis for Learning-based Fine-scale 3D Face Reconstruction", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1708.00980"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "title": "DriveAHead \u2014 A Large-Scale Driver Head Pose Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w13/papers/Schwarz_DriveAHead_-_A_CVPR_2017_paper.pdf", "https://cvhci.anthropomatik.kit.edu/download/publications/2017_CVPR_Haurilet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014889", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.155", "http://doi.org/10.1109/CVPRW.2017.155"]}, {"id": "5aad5e7390211267f3511ffa75c69febe3b84cc7", "title": "Driver Gaze Estimation Without Using Eye Movement", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5aad/5e7390211267f3511ffa75c69febe3b84cc7.pdf"], "doi": []}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "f276d79e428183b457875dcccf2442c7832093bb", "title": "Deep Hierarchical Network With Line Segment Learning for Quantitative Analysis of Facial Palsy", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8558494", "http://doi.org/10.1109/ACCESS.2018.2884969"]}, {"id": "2804e7407cc5c236da84437e0440947a3faa1145", "title": "Mathematical modeling for partial object detection.", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.18297/etd%2F1713"]}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": [], "doi": []}, {"id": "bc704680b5032eadf78c4e49f548ba14040965bf", "title": "Face Normals \"In-the-Wild\" Using Fully Convolutional Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Trigeorgis_Face_Normals_In-The-Wild_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/normal_estimation__cvpr_2017_-4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099527", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.44", "http://doi.org/10.1109/CVPR.2017.44"]}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"], "doi": []}, {"id": "3d62b2f9cef997fc37099305dabff356d39ed477", "title": "Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02734.pdf"], "doi": []}, {"id": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.pdf"], "doi": []}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "e0a57676ca5f7fced9dcf885a60a1967cc21070c", "title": "Development of a Computer Interface for People with Disabilities based on Computer Vision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e0a5/7676ca5f7fced9dcf885a60a1967cc21070c.pdf"], "doi": []}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "7360a2adcd6e3fe744b7d7aec5c08ee31094dfd4", "title": "Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models", "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/deep-deformable-convolutional.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373833", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00040", "http://doi.org/10.1109/FG.2018.00040"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"], "doi": []}, {"id": "ac5d0705a9ddba29151fd539c668ba2c0d16deb6", "title": "RED-Net: A Recurrent Encoder\u2013Decoder Network for Video-Based Face Alignment", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06066.pdf"], "doi": []}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"], "doi": []}, {"id": "03e88bf3c5ddd44ebf0e580d4bd63072566613ad", "title": "How intelligent are convolutional neural networks?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06126.pdf"], "doi": []}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"], "doi": []}, {"id": "36bb93c4f381adca267191811abb8cc7812363f9", "title": "Quick retrieval method of massive face images based on global feature and local feature fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301987", "http://doi.org/10.1109/CISP-BMEI.2017.8301987"]}, {"id": "c6ea6fee4823b511eecf41f6c2574a0728055baf", "title": "HoloFace: Augmenting Human-to-Human Interactions on HoloLens", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00278.pdf"], "doi": []}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "7f3da52c13c70fd5b93c2ccebdd4a4527fa597fa", "title": "Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7f3d/a52c13c70fd5b93c2ccebdd4a4527fa597fa.pdf"], "doi": []}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789676", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.186", "http://doi.org/10.1109/CVPRW.2016.186"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "726b8aba2095eef076922351e9d3a724bb71cb51", "title": "DFaceNet : Real-time Dense Face Reconstruction via Synthesizing Photo-realistic Face Images", "year": "2017", "pdf": [], "doi": []}, {"id": "a83fc450c124b7e640adc762e95e3bb6b423b310", "title": "Deep Face Feature for Face Alignment and Reconstruction", "year": "2017", "pdf": [], "doi": []}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "43fbe350681185ec9a18991dbcb19d694ce4f245", "title": "The Perspective Face Shape Ambiguity", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/43fb/e350681185ec9a18991dbcb19d694ce4f245.pdf"], "doi": []}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "7b6f0c4b22aee0cb4987cba9df121d4076fac5a5", "title": "On Learning 3D Face Morphable Model from In-the-wild Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09560.pdf"], "doi": []}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "564babec16b895d385d06d38545febd66ef02f35", "title": "Robust Statistics for Feature-based Active Appearance Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/564b/abec16b895d385d06d38545febd66ef02f35.pdf"], "doi": []}, {"id": "8a6033cbba8598945bfadd2dd04023c2a9f31681", "title": "3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Xiao_3D-Assisted_Coarse-To-Fine_Extreme-Pose_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014991", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.257", "http://doi.org/10.1109/CVPRW.2017.257"]}, {"id": "66e57fe8d2bf08b5783d333c1870591b23008850", "title": "Nonlinear 3D Face Morphable Model", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578865"]}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "120785f9b4952734818245cc305148676563a99b", "title": "Diagnostic automatique de l'\u00e9tat d\u00e9pressif(Classification of depressive moods)", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1207/85f9b4952734818245cc305148676563a99b.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "0f257ae1829b3250723a87781373d339308ea996", "title": "A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03773.pdf"], "doi": []}, {"id": "7789a5d87884f8bafec8a82085292e87d4e2866f", "title": "A Unified Tensor-based Active Appearance Face Model", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.09548.pdf"], "doi": []}, {"id": "4dfd96f456f18bf678158d158f33929c63b438b8", "title": "Scarce face recognition via two-layer collaborative representation", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2017.0193"]}, {"id": "78f2c8671d1a79c08c80ac857e89315197418472", "title": "Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237443", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.181", "http://doi.org/10.1109/ICCV.2017.181"]}, {"id": "289cfcd081c4393c7d6f63510747b5372202f855", "title": "Detecting Decision Ambiguity from Facial Images", "year": "2018", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373873", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00080", "http://doi.org/10.1109/FG.2018.00080"]}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "6742c0a26315d7354ab6b1fa62a5fffaea06da14", "title": "What does 2 D geometric information really tell us about 3 D face shape ?", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae08/778d8003933a02fd90a49b2e5f67ba56ad8d.pdf"], "doi": []}, {"id": "afd3a6dde8fa3b330cb146678731b150213ddd95", "title": "Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03146.pdf"], "doi": []}, {"id": "e6e22d8505b98257af88d5dd1863d6b805128913", "title": "A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578151"]}, {"id": "254964096e523d5e48e03390ce440c9af337d200", "title": "Semantically-aware blendshape rigs from facial performance measurements", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3005378"]}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "1885acea0d24e7b953485f78ec57b2f04e946eaf", "title": "Combining Local and Global Features for 3D Face Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Xiong_Combining_Local_and_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265508", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.297", "http://doi.org/10.1109/ICCVW.2017.297"]}, {"id": "c26b43c2e1e2da96e7caabd46e1d7314acac0992", "title": "Facial Expression Recognition Using Facial Landmarks and Random Forest Classifier", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8466510", "http://doi.ieeecomputersociety.org/10.1109/ICIS.2018.8466510", "http://doi.org/10.1109/ICIS.2018.8466510"]}, {"id": "014e3d0fa5248e6f4634dc237e2398160294edce", "title": "What does 2D geometric information really tell us about 3D face shape?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06703.pdf"], "doi": []}, {"id": "465faf9974a60da00950be977f3bc2fc3e56f5d2", "title": "Facial action unit intensity estimation and feature relevance visualization with random regression forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273631", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273631", "http://doi.org/10.1109/ACII.2017.8273631"]}, {"id": "d9deafd9d9e60657a7f34df5f494edff546c4fb8", "title": "Learning the Multilinear Structure of Visual Data", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Learning_the_Multilinear_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/1914_(1).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100124", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.641", "http://doi.org/10.1109/CVPR.2017.641"]}, {"id": "758d7e1be64cc668c59ef33ba8882c8597406e53", "title": "AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03985.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "citations": [{"id": "788a7b59ea72e23ef4f86dc9abb4450efefeca41", "title": "Robust Statistical Face Frontalization", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26840/01/Pantic_Robust_Statistical_Face_Frontalization.pdf", "http://eprints.mdx.ac.uk/23776/1/C23.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/robust_frontalization.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410798", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.441", "http://doi.org/10.1109/ICCV.2015.441"]}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}, {"id": "20532b1f80b509f2332b6cfc0126c0f80f438f10", "title": "A Deep Matrix Factorization Method for Learning Attribute Representations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.03248.pdf"], "doi": []}, {"id": "131e395c94999c55c53afead65d81be61cd349a4", "title": "A Functional Regression Approach to Facial Landmark Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.02203.pdf"], "doi": []}, {"id": "0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a", "title": "Neural Networks Regularization Through Representation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05292.pdf"], "doi": []}, {"id": "78a4cabf0afc94da123e299df5b32550cd638939", "title": "Multi-view face recognition from single RGBD models of the faces", "year": "2017", "pdf": ["https://engineering.purdue.edu/kak/FaceRecognitionUnconstrainedPurdueRVL.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.04.008"]}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "9ab963e473829739475b9e47514f454ab467a5af", "title": "A Fully End-to-End Cascaded CNN for Facial Landmark Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961742", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.33", "http://doi.org/10.1109/FG.2017.33"]}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"id": "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "title": "Improved Strategies for HPE Employing Learning-by-Synthesis Approaches", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Larumbe_Improved_Strategies_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.182", "http://doi.org/10.1109/ICCVW.2017.182"]}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "12d8730da5aab242795bdff17b30b6e0bac82998", "title": "Persistent Evidence of Local Image Properties in Generic ConvNets", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6509.pdf"], "doi": []}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "350108a9dbb746dc6f127d98342c07d8019e3f46", "title": "Multi-view facial landmark detection by using a 3D shape model", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.003"]}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"id": "aa643738532a593e739b5468ddff7ebd4c371b47", "title": "Facial Landmark Detection: A Literature Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05563.pdf"], "doi": []}, {"id": "621c08bd34297627c9b7ec7f7eb7a47b8d602a97", "title": "Synergy between Face Alignment and Tracking via Discriminative Global Consensus Optimization", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/44755/1/1859.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Khan_Synergy_Between_Face_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237671", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.409", "http://doi.org/10.1109/ICCV.2017.409"]}, {"id": "74419de59b2dd7d0a16484aa2aac621df514f5c4", "title": "Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00966.pdf"], "doi": []}, {"id": "1b0a071450c419138432c033f722027ec88846ea", "title": "Looking at faces in a vehicle: A deep CNN based approach and evaluation", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediITSC2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795622", "http://doi.org/10.1109/ITSC.2016.7795622"]}, {"id": "9ca7899338129f4ba6744f801e722d53a44e4622", "title": "Deep neural networks regularization for structured output prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.07550.pdf"], "doi": []}, {"id": "0c1314d98bb6b99af00817644c1803dbc0fb5ff5", "title": "Model of Human Visual Cortex Inspired Computational Models for Visual Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153860", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2015.29", "http://doi.org/10.1109/BigMM.2015.29"]}, {"id": "6e48b90fd1eed0c2e2f3b1a22a09b2675c1aaa02", "title": "Developing an Affect-Aware Rear-Projected Robotic Agent", "year": "2018", "pdf": [], "doi": []}, {"id": "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "title": "Input/Output Deep Architecture for Structured Output Problems", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07550"]}, {"id": "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "title": "2 New Statement for Structured Output Regression Problems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/891b/10c4b3b92ca30c9b93170ec9abd71f6099c4.pdf"], "doi": []}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "b45a9f95980c434582c920bf15a8099ec267c1f7", "title": "Robust Kronecker Component Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06432.pdf"], "doi": []}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "year": "2017", "pdf": [], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "0a1138276c52c734b67b30de0bf3f76b0351f097", "title": "Discriminant Incoherent Component Analysis", "year": "2016", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/georgakis_dica.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7428896", "http://doi.org/10.1109/TIP.2016.2539502", "https://www.ncbi.nlm.nih.gov/pubmed/27008268", "https://www.ncbi.nlm.nih.gov/pubmed/28113464", "https://www.wikidata.org/entity/Q39005047"]}, {"id": "a9116f261c1b6ca543cba3ee95f846ef3934efad", "title": "Facial Component-Landmark Detection With Weakly-Supervised LR-CNN", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598858"]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "656a59954de3c9fcf82ffcef926af6ade2f3fdb5", "title": "Convolutional Network Representation for Visual Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/656a/59954de3c9fcf82ffcef926af6ade2f3fdb5.pdf"], "doi": []}, {"id": "5aafca76dbbbbaefd82f5f0265776afb5320dafe", "title": "Empirical analysis of cascade deformable models for multi-view face detection", "year": "2015", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_empirical_analysis_of_cascade_deformable_models_for_multi-view_face_detection.pdf", "http://doc.utwente.nl/95219/1/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://eprints.eemcs.utwente.nl/24551/01/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/jorozco_imavis_2015.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.07.002"]}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "49258cc3979103681848284470056956b77caf80", "title": "EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors", "year": "2017", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/epat-euclidean-perturbation.pdf?attachauth=ANoY7crlk9caZscfn0KRjed81DVoV-Ec6ZHI7txQrJiM_NBic36WKIg-ODwefcBtfgfKdS1iX28MlSXNyB7pE0D7opPjlGqxBVVa1UuIiydhFOgkXlXGfrYqSPS6749JeYWDkfvwWraRfB_CK8bu77jAEA2sIVNgaVRa_7zvmzwnstLwSUowbYC1LRc5yDt8ieT_jdEb_TuhMgR2j03BdHgyUkVjl0TXRukYHWglDOxzHAKwj0vsb4U%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961745", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.36", "http://doi.org/10.1109/FG.2017.36"]}, {"id": "eaf020bc8a3ed5401fc3852f7037a03b2525586a", "title": "Adversarially Optimizing Intersection over Union for Object Localization Tasks", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1710.07735"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "8e36100cb144685c26e46ad034c524b830b8b2f2", "title": "Modeling Facial Geometry using Compositional", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8e36/100cb144685c26e46ad034c524b830b8b2f2.pdf"], "doi": []}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "6f2dc51d607f491dbe6338711c073620c85351ac", "title": "Capturing correlations of local features for image representation", "year": "2016", "pdf": ["http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/2Pool_nc_20150720.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.07.134"]}, {"id": "3727ac3d50e31a394b200029b2c350073c1b69e3", "title": "Facial Expression Recognition from World Wild Web", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03639.pdf"], "doi": []}, {"id": "ec27b3d1548909d3f55246a388d768cf51e65802", "title": "Face Mask Extraction in Video Sequence", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09207.pdf"], "doi": []}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "2f9c173ccd8c1e6b88d7fb95d6679838bc9ca51d", "title": "Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02917.pdf"], "doi": []}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "64cac22210861d4e9afb00b781da90cf99f9d19c", "title": "Facial Landmark Detection for Manga Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03214.pdf"], "doi": []}, {"id": "58823377757e7dc92f3b70a973be697651089756", "title": "Automatic facial expression analysis", "year": "2014", "pdf": ["http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-861.pdf", "http://www.cl.cam.ac.uk/~tb346/pub/thesis/phd_thesis.pdf"], "doi": ["http://doi.org/10.17863/CAM.16382", "http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600539"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1111/cgf.12760"]}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373908", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00115", "http://doi.org/10.1109/FG.2018.00115"]}, {"id": "1ddea58d04e29069b583ac95bc0ae9bebb0bed07", "title": "An Efficient Model for Simultaneous Face Detection, Pose Estimation and Landmark Localisation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371751", "http://doi.org/10.1109/KSE.2015.50"]}, {"id": "4068574b8678a117d9a434360e9c12fe6232dae0", "title": "Automatic Construction of Deformable Models In-the-Wild", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Antonakos_Automatic_Construction_of_2014_CVPR_paper.pdf", "http://www.visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2031.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909630", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.234", "http://doi.org/10.1109/CVPR.2014.234"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "2df4d05119fe3fbf1f8112b3ad901c33728b498a", "title": "A regularization scheme for structured output problems : an application to facial landmark detection", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2df4/d05119fe3fbf1f8112b3ad901c33728b498a.pdf"], "doi": []}, {"id": "48e77ff21d8fccccd9709b02f2de94b331c503d6", "title": "Modeling Facial Geometry Using Compositional VAEs", "year": "2018", "pdf": ["https://infoscience.epfl.ch/record/255014/files/bagautdinov.cvae.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578506", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00408", "http://doi.org/10.1109/CVPR.2018.00408"]}, {"id": "5239001571bc64de3e61be0be8985860f08d7e7e", "title": "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06871.pdf"], "doi": []}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "title": "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03887.pdf"], "doi": []}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "6d10beb027fd7213dd4bccf2427e223662e20b7d", "title": "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d10/beb027fd7213dd4bccf2427e223662e20b7d.pdf"], "doi": []}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face Alignment", "year": "2018", "pdf": [], "doi": []}, {"id": "b908edadad58c604a1e4b431f69ac8ded350589a", "title": "Deep Face Feature for Face Alignment", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02721.pdf"], "doi": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.07.007", "https://doi.org/10.1016/j.cviu.2015.07.007"]}, {"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": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": [], "doi": []}, {"id": "4a4f0a47de1567f3f913e2632921797df36b2525", "title": "Synthetic Prior Design for Real-Time Face Tracking", "year": "2016", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20161010224923/Synthetic-Prior-Design-for-Real-Time-Face-Tracking-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785140", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.72", "http://doi.org/10.1109/3DV.2016.72"]}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "b934f730a81c071dbfc08eb4c360d6fca2daa08f", "title": "Characteristic number regression for facial feature extraction", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177496", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177496", "http://doi.org/10.1109/ICME.2015.7177496"]}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "6932baa348943507d992aba75402cfe8545a1a9b", "title": "Stacked Hourglass Network for Robust Facial Landmark Localisation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Yang_Stacked_Hourglass_Network_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.253", "http://doi.org/10.1109/CVPRW.2017.253"]}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"id": "24e099e77ae7bae3df2bebdc0ee4e00acca71250", "title": "Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation", "year": "2015", "pdf": ["http://users.cecs.anu.edu.au/~hexm/papers/heng_tip.pdf", "http://www.eecs.qmul.ac.uk/~ioannisp/pubs/ecopies/2015-TIP-Yang-Patras-Robust-Face-Alignment-under-Occlusion-final-submitted.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22467/Yang%20Robust%20Face%20Alignment%20Under%20Occlusion%20via%20Regional%20Predictive%20Power%20Estimation%202015%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7084187", "http://doi.org/10.1109/TIP.2015.2421438", "https://www.ncbi.nlm.nih.gov/pubmed/25872211", "https://www.wikidata.org/entity/Q41075453"]}, {"id": "5180c98815d7034e753a14ef6f54583f115da3aa", "title": "Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107971", "http://doi.ieeecomputersociety.org/10.1109/iV.2017.40", "http://doi.org/10.1109/iV.2017.40"]}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "5cf12787b9ee536817c0429700c75b98f04192ba", "title": "A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05806.pdf"], "doi": []}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393", "http://doi.org/10.1109/CVPR.2017.393"]}, {"id": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without Face Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "title": "Large Scale 3D Morphable Models", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/booth2017large.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1009-7", "https://www.wikidata.org/entity/Q57924212"]}, {"id": "a6ce2f0795839d9c2543d64a08e043695887e0eb", "title": "Driver Gaze Region Estimation Without Using Eye Movement", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.04760.pdf"], "doi": []}, {"id": "ff93f127081f54855d1612b39260489a2d9baa0b", "title": "Facial 3D model registration under occlusions with sensiblepoints-based reinforced hypothesis refinement", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00531.pdf"], "doi": []}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "303065c44cf847849d04da16b8b1d9a120cef73a", "title": "3D Face Morphable Models \"In-the-Wild\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05360.pdf"], "doi": []}, {"id": "08b70ab782141a2d7003226a0f438a6aea0a0d46", "title": "Parametrizing Fully Convolutional Nets", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08b7/0ab782141a2d7003226a0f438a6aea0a0d46.pdf"], "doi": []}, {"id": "24c442ac3f6802296d71b1a1914b5d44e48b4f29", "title": "Pose and Expression-Coherent Face Recovery in the Wild", "year": "2015", "pdf": ["http://vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w24/papers/Burgos-Artizzu_Pose_and_Expression-Coherent_ICCV_2015_paper.pdf", "http://www.vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406466", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.117", "http://doi.org/10.1109/ICCVW.2015.117"]}, {"id": "b599f323ee17f12bf251aba928b19a09bfbb13bb", "title": "Autonomous Quadcopter Videographer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b599/f323ee17f12bf251aba928b19a09bfbb13bb.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "6ebc601bba067af64b57d59039319650168df4c9", "title": "CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.00980.pdf"], "doi": []}, {"id": "0a4f3a423a37588fde9a2db71f114b293fc09c50", "title": "Computer analysis of face beauty: A survey", "year": "2014", "pdf": ["http://porto.polito.it/2541099/1/Analyzing_human_beauty_R2_2.0.pdf", "https://iris.polito.it/retrieve/handle/11583/2541099/62404/Analyzing%20human%20beauty%20-%20R2%20-%202.0.pdf", "https://pdfs.semanticscholar.org/0a4f/3a423a37588fde9a2db71f114b293fc09c50.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.04.006"]}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "33ae696546eed070717192d393f75a1583cd8e2c", "title": "Subspace selection to suppress confounding source domain information in AAM transfer learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08508.pdf"], "doi": []}, {"id": "d1777d3ea950e6aac92dd359075701bc28ba1cb2", "title": "Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Gu_Dynamic_Facial_Analysis_CVPR_2017_paper.pdf", "http://research.nvidia.com/sites/default/files/pubs/2017-07_Dynamic-Facial-Analysis/rnnface.pdf", "http://www.gujinwei.org/pdfs/rnnface.pdf", "http://xiaodongyang.org/publications/papers/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.167", "http://doi.org/10.1109/CVPR.2017.167"]}, {"id": "d06bcb2d46342ee011e652990edf290a0876b502", "title": "Photo-realistic Face Images Synthesis for Learning-based Fine-scale 3D Face Reconstruction", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1708.00980"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"id": "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "title": "DriveAHead \u2014 A Large-Scale Driver Head Pose Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w13/papers/Schwarz_DriveAHead_-_A_CVPR_2017_paper.pdf", "https://cvhci.anthropomatik.kit.edu/download/publications/2017_CVPR_Haurilet.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014889", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.155", "http://doi.org/10.1109/CVPRW.2017.155"]}, {"id": "5aad5e7390211267f3511ffa75c69febe3b84cc7", "title": "Driver Gaze Estimation Without Using Eye Movement", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5aad/5e7390211267f3511ffa75c69febe3b84cc7.pdf"], "doi": []}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "f276d79e428183b457875dcccf2442c7832093bb", "title": "Deep Hierarchical Network With Line Segment Learning for Quantitative Analysis of Facial Palsy", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8558494", "http://doi.org/10.1109/ACCESS.2018.2884969"]}, {"id": "2804e7407cc5c236da84437e0440947a3faa1145", "title": "Mathematical modeling for partial object detection.", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.18297/etd%2F1713"]}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": [], "doi": []}, {"id": "bc704680b5032eadf78c4e49f548ba14040965bf", "title": "Face Normals \"In-the-Wild\" Using Fully Convolutional Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Trigeorgis_Face_Normals_In-The-Wild_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/normal_estimation__cvpr_2017_-4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099527", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.44", "http://doi.org/10.1109/CVPR.2017.44"]}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"], "doi": []}, {"id": "3d62b2f9cef997fc37099305dabff356d39ed477", "title": "Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02734.pdf"], "doi": []}, {"id": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.pdf"], "doi": []}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "e0a57676ca5f7fced9dcf885a60a1967cc21070c", "title": "Development of a Computer Interface for People with Disabilities based on Computer Vision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e0a5/7676ca5f7fced9dcf885a60a1967cc21070c.pdf"], "doi": []}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "7360a2adcd6e3fe744b7d7aec5c08ee31094dfd4", "title": "Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models", "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/deep-deformable-convolutional.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373833", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00040", "http://doi.org/10.1109/FG.2018.00040"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"], "doi": []}, {"id": "ac5d0705a9ddba29151fd539c668ba2c0d16deb6", "title": "RED-Net: A Recurrent Encoder\u2013Decoder Network for Video-Based Face Alignment", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06066.pdf"], "doi": []}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"], "doi": []}, {"id": "03e88bf3c5ddd44ebf0e580d4bd63072566613ad", "title": "How intelligent are convolutional neural networks?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06126.pdf"], "doi": []}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"], "doi": []}, {"id": "36bb93c4f381adca267191811abb8cc7812363f9", "title": "Quick retrieval method of massive face images based on global feature and local feature fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301987", "http://doi.org/10.1109/CISP-BMEI.2017.8301987"]}, {"id": "c6ea6fee4823b511eecf41f6c2574a0728055baf", "title": "HoloFace: Augmenting Human-to-Human Interactions on HoloLens", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00278.pdf"], "doi": []}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "7f3da52c13c70fd5b93c2ccebdd4a4527fa597fa", "title": "Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7f3d/a52c13c70fd5b93c2ccebdd4a4527fa597fa.pdf"], "doi": []}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789676", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.186", "http://doi.org/10.1109/CVPRW.2016.186"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "726b8aba2095eef076922351e9d3a724bb71cb51", "title": "DFaceNet : Real-time Dense Face Reconstruction via Synthesizing Photo-realistic Face Images", "year": "2017", "pdf": [], "doi": []}, {"id": "a83fc450c124b7e640adc762e95e3bb6b423b310", "title": "Deep Face Feature for Face Alignment and Reconstruction", "year": "2017", "pdf": [], "doi": []}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "43fbe350681185ec9a18991dbcb19d694ce4f245", "title": "The Perspective Face Shape Ambiguity", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/43fb/e350681185ec9a18991dbcb19d694ce4f245.pdf"], "doi": []}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "7b6f0c4b22aee0cb4987cba9df121d4076fac5a5", "title": "On Learning 3D Face Morphable Model from In-the-wild Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09560.pdf"], "doi": []}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "564babec16b895d385d06d38545febd66ef02f35", "title": "Robust Statistics for Feature-based Active Appearance Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/564b/abec16b895d385d06d38545febd66ef02f35.pdf"], "doi": []}, {"id": "8a6033cbba8598945bfadd2dd04023c2a9f31681", "title": "3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Xiao_3D-Assisted_Coarse-To-Fine_Extreme-Pose_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014991", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.257", "http://doi.org/10.1109/CVPRW.2017.257"]}, {"id": "66e57fe8d2bf08b5783d333c1870591b23008850", "title": "Nonlinear 3D Face Morphable Model", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578865"]}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "120785f9b4952734818245cc305148676563a99b", "title": "Diagnostic automatique de l'\u00e9tat d\u00e9pressif(Classification of depressive moods)", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1207/85f9b4952734818245cc305148676563a99b.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "0f257ae1829b3250723a87781373d339308ea996", "title": "A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03773.pdf"], "doi": []}, {"id": "7789a5d87884f8bafec8a82085292e87d4e2866f", "title": "A Unified Tensor-based Active Appearance Face Model", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.09548.pdf"], "doi": []}, {"id": "4dfd96f456f18bf678158d158f33929c63b438b8", "title": "Scarce face recognition via two-layer collaborative representation", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2017.0193"]}, {"id": "78f2c8671d1a79c08c80ac857e89315197418472", "title": "Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237443", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.181", "http://doi.org/10.1109/ICCV.2017.181"]}, {"id": "289cfcd081c4393c7d6f63510747b5372202f855", "title": "Detecting Decision Ambiguity from Facial Images", "year": "2018", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373873", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00080", "http://doi.org/10.1109/FG.2018.00080"]}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "6742c0a26315d7354ab6b1fa62a5fffaea06da14", "title": "What does 2 D geometric information really tell us about 3 D face shape ?", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae08/778d8003933a02fd90a49b2e5f67ba56ad8d.pdf"], "doi": []}, {"id": "afd3a6dde8fa3b330cb146678731b150213ddd95", "title": "Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03146.pdf"], "doi": []}, {"id": "e6e22d8505b98257af88d5dd1863d6b805128913", "title": "A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578151"]}, {"id": "254964096e523d5e48e03390ce440c9af337d200", "title": "Semantically-aware blendshape rigs from facial performance measurements", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3005378"]}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "1885acea0d24e7b953485f78ec57b2f04e946eaf", "title": "Combining Local and Global Features for 3D Face Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Xiong_Combining_Local_and_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265508", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.297", "http://doi.org/10.1109/ICCVW.2017.297"]}, {"id": "c26b43c2e1e2da96e7caabd46e1d7314acac0992", "title": "Facial Expression Recognition Using Facial Landmarks and Random Forest Classifier", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8466510", "http://doi.ieeecomputersociety.org/10.1109/ICIS.2018.8466510", "http://doi.org/10.1109/ICIS.2018.8466510"]}, {"id": "014e3d0fa5248e6f4634dc237e2398160294edce", "title": "What does 2D geometric information really tell us about 3D face shape?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06703.pdf"], "doi": []}, {"id": "465faf9974a60da00950be977f3bc2fc3e56f5d2", "title": "Facial action unit intensity estimation and feature relevance visualization with random regression forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273631", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273631", "http://doi.org/10.1109/ACII.2017.8273631"]}, {"id": "d9deafd9d9e60657a7f34df5f494edff546c4fb8", "title": "Learning the Multilinear Structure of Visual Data", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Learning_the_Multilinear_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/1914_(1).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100124", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.641", "http://doi.org/10.1109/CVPR.2017.641"]}, {"id": "758d7e1be64cc668c59ef33ba8882c8597406e53", "title": "AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03985.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/ijb_a.json b/site/datasets/unknown/ijb_a.json index 7db6d9b2..e375f599 100644 --- a/site/datasets/unknown/ijb_a.json +++ b/site/datasets/unknown/ijb_a.json @@ -1 +1 @@ -{"id": "140c95e53c619eac594d70f6369f518adfea12ef", "citations": [{"id": "ddf099f0e0631da4a6396a17829160301796151c", "title": "Chen et al . Face Quality Value : Input : Feat -\u2010 5 Features : L 2 R + PKM Model : Feat -\u2010", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ddf0/99f0e0631da4a6396a17829160301796151c.pdf"], "doi": []}, {"id": "ec39e9c21d6e2576f21936b1ecc1574dadaf291e", "title": "Pose-Robust Face Verification by Exploiting Competing Tasks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926713", "http://doi.org/10.1109/WACV.2017.130"]}, {"id": "8da32ff9e3759dc236878ac240728b344555e4e9", "title": "Investigating Nuisance Factors in Face Recognition with DCNN Representation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Ferrari_Investigating_Nuisance_Factors_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014820", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.86", "http://doi.org/10.1109/CVPRW.2017.86"]}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.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": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "2c052a1c77a3ec2604b3deb702d77c41418c7d3e", "title": "What Is the Challenge for Deep Learning in Unconstrained Face Recognition?", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373863", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00070", "http://doi.org/10.1109/FG.2018.00070"]}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "2ad7cef781f98fd66101fa4a78e012369d064830", "title": "Neural Aggregation Network for Video Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.05474.pdf"], "doi": []}, {"id": "31aa20911cc7a2b556e7d273f0bdd5a2f0671e0a", "title": "Patch-based Face Recognition using a Hierarchical Multi-label Matcher", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01417.pdf"], "doi": []}, {"id": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"], "doi": []}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "b5ca8d4f259f35c1f3edfd9f108ce29881e478b0", "title": "Disentangled Representation Learning GAN for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Tran_Yin_Liu_CVPR2017.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Tran_Disentangled_Representation_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.141", "http://doi.org/10.1109/CVPR.2017.141"]}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "title": "Comparator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11440.pdf"], "doi": []}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "7e8c8b1d72c67e2e241184448715a8d4bd88a727", "title": "Face Verification Based on Relational Disparity Features and Partial Least Squares Models", "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_SIBGRAPI_Vareto.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097314", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.34", "http://doi.org/10.1109/SIBGRAPI.2017.34"]}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "6ed27a41214716259676b6949999cdf4b12d0bdd", "title": "A Sparse and Inlier Based SIFT and SURF Features for Automated Face Recognition", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2982112"]}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"id": "c69916375fec3c3ebba3aafb31c99a2beb0151c4", "title": "Face recognition in video surveillance from a single reference sample through domain adaptation", "year": "2017", "pdf": [], "doi": []}, {"id": "7f6cd03e3b7b63fca7170e317b3bb072ec9889e0", "title": "A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09359.pdf"], "doi": []}, {"id": "df51dfe55912d30fc2f792561e9e0c2b43179089", "title": "Face Hallucination Using Linear Models of Coupled Sparse Support", "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.06009.pdf"], "doi": []}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "b2ae5c496fe01bb2e2dee107f75b82c6a2a23374", "title": "Attention-Based Template Adaptation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961846", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.116", "http://doi.org/10.1109/FG.2017.116"]}, {"id": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "944ea33211d67663e04d0181843db634e42cb2ca", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "f3b84a03985de3890b400b68e2a92c0a00afd9d0", "title": "Large Variability Surveillance Camera Face Database", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7579704"]}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "8c7f4c11b0c9e8edf62a0f5e6cf0dd9d2da431fa", "title": "Dataset Augmentation for Pose and Lighting Invariant Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04326.pdf"], "doi": []}, {"id": "1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "title": "Face Search at Scale", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/WangOttoJain_FaceSearchAtScale_TPAMI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494641", "http://doi.org/10.1109/TPAMI.2016.2582166", "https://www.ncbi.nlm.nih.gov/pubmed/27333599", "https://www.wikidata.org/entity/Q36059157"]}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "title": "Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575544"]}, {"id": "49258cc3979103681848284470056956b77caf80", "title": "EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors", "year": "2017", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/epat-euclidean-perturbation.pdf?attachauth=ANoY7crlk9caZscfn0KRjed81DVoV-Ec6ZHI7txQrJiM_NBic36WKIg-ODwefcBtfgfKdS1iX28MlSXNyB7pE0D7opPjlGqxBVVa1UuIiydhFOgkXlXGfrYqSPS6749JeYWDkfvwWraRfB_CK8bu77jAEA2sIVNgaVRa_7zvmzwnstLwSUowbYC1LRc5yDt8ieT_jdEb_TuhMgR2j03BdHgyUkVjl0TXRukYHWglDOxzHAKwj0vsb4U%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961745", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.36", "http://doi.org/10.1109/FG.2017.36"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.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": "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": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "011e6146995d5d63c852bd776f782cc6f6e11b7b", "title": "Fast Training of Triplet-Based Deep Binary Embedding Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02844.pdf"], "doi": []}, {"id": "1ba966584fa935ba8ab8654016a12298fcd2b048", "title": "Generalized Deep Image to Image Regression", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100056"]}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "04bb3fa0824d255b01e9db4946ead9f856cc0b59", "title": "Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.07972.pdf"], "doi": []}, {"id": "91d513af1f667f64c9afc55ea1f45b0be7ba08d4", "title": "Automatic Face Image Quality Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09887.pdf"], "doi": []}, {"id": "d92084e376a795d3943df577d3b3f3b7d12eeae5", "title": "Face and Image Representation in Deep CNN Features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961806", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.85", "http://doi.org/10.1109/FG.2017.85"]}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "4e32fbb58154e878dd2fd4b06398f85636fd0cf4", "title": "A Hierarchical Matcher using Local Classifier Chains", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02339.pdf"], "doi": []}, {"id": "d0f690b9ad1d66e06e4da18381d92443e9d15f11", "title": "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578642"]}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "1ef4aac0ebc34e76123f848c256840d89ff728d0", "title": "Rapid Synthesis of Massive Face Sets for Improved Face Recognition", "year": "2017", "pdf": ["http://www.openu.ac.il/home/hassner/projects/augmented_faces/Masietal2017rapid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961797", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.76", "http://doi.org/10.1109/FG.2017.76"]}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "6097ea6fd21a5f86a10a52e6e4dd5b78a436d5bf", "title": "Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.05300.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "098363b29eef1471c494382338687f2fe98f6e15", "title": "Metadata-Based Feature Aggregation Network for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411212", "http://doi.org/10.1109/ICB2018.2018.00028", "https://doi.org/10.1109/ICB2018.2018.00028"]}, {"id": "84c5b45328dee855c4855a104ac9c0558cc8a328", "title": "Conformal Mapping of a 3D Face Representation onto a 2D Image for CNN Based Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411213", "http://doi.org/10.1109/ICB2018.2018.00029"]}, {"id": "a3f69a073dcfb6da8038607a9f14eb28b5dab2db", "title": "3D-Aided Deep Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a3f6/9a073dcfb6da8038607a9f14eb28b5dab2db.pdf"], "doi": []}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "title": "Representation Learning by Rotating Your Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11136.pdf"], "doi": []}, {"id": "64d9c5ab4cab193046ac839b74d182a472fe45ba", "title": "NosePose : a competitive , landmark-free methodology for head pose estimation in the wild", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/64d9/c5ab4cab193046ac839b74d182a472fe45ba.pdf"], "doi": []}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "5c01d8bffb5cf7a5f871e3c691f8dc7dba6e6da9", "title": "Survey of biometric pattern recognition via machine learning techniques", "year": "2018", "pdf": ["http://www.m-hikari.com/ces/ces2018/ces33-36-2018/p/hernandezCES33-36-2018-2.pdf"], "doi": ["https://doi.org/10.12988/ces.2018.84166"]}, {"id": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"], "doi": []}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "a8117a4733cce9148c35fb6888962f665ae65b1e", "title": "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00438.pdf"], "doi": []}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "b971266b29fcecf1d5efe1c4dcdc2355cb188ab0", "title": "On the Reconstruction of Face Images from Deep Face Templates.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.00832.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "title": "Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441009", "http://doi.org/10.1109/SACI.2018.8441009", "https://doi.org/10.1109/SACI.2018.8441009"]}, {"id": "77037a22c9b8169930d74d2ce6f50f1a999c1221", "title": "Robust Face Recognition With Kernelized Locality-Sensitive Group Sparsity Representation", "year": "2017", "pdf": ["https://ueaeprints.uea.ac.uk/64308/1/Accepted_manuscript.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7949052", "http://doi.org/10.1109/TIP.2017.2716180", "https://www.ncbi.nlm.nih.gov/pubmed/28641251", "https://www.wikidata.org/entity/Q38713616"]}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "2f7e9b45255c9029d2ae97bbb004d6072e70fa79", "title": "cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.08247.pdf"], "doi": []}, {"id": "6909cd34a1eceba2140e2c02a842cefcecf33645", "title": "Face Recognition of the Rhinopithecus Roxellana Qinlingensis Based on Improved HOG and Sparse Representation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8128617"]}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "fab60b3db164327be8588bce6ce5e45d5b882db6", "title": "Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fab6/0b3db164327be8588bce6ce5e45d5b882db6.pdf"], "doi": []}, {"id": "5fea59ccdab484873081eaa37af88e26e3db2aed", "title": "Capacitive Sensor for Tagless Remote Human Identification Using Body Frequency Absorption Signatures", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8263394", "http://doi.org/10.1109/TIM.2017.2789078"]}, {"id": "99ced8f36d66dce20d121f3a29f52d8b27a1da6c", "title": "Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05675.pdf"], "doi": []}, {"id": "e988be047b28ba3b2f1e4cdba3e8c94026139fcf", "title": "Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04710.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "aed321909bb87c81121c841b21d31509d6c78f69", "title": "Unfamiliar Sides , Video , Image Enhancement in Face Recognition 1", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aed3/21909bb87c81121c841b21d31509d6c78f69.pdf"], "doi": []}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}]}
\ No newline at end of file +{"id": "140c95e53c619eac594d70f6369f518adfea12ef", "citations": [{"id": "ddf099f0e0631da4a6396a17829160301796151c", "title": "Chen et al . Face Quality Value : Input : Feat -\u2010 5 Features : L 2 R + PKM Model : Feat -\u2010", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ddf0/99f0e0631da4a6396a17829160301796151c.pdf"], "doi": []}, {"id": "ec39e9c21d6e2576f21936b1ecc1574dadaf291e", "title": "Pose-Robust Face Verification by Exploiting Competing Tasks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926713", "http://doi.org/10.1109/WACV.2017.130"]}, {"id": "8da32ff9e3759dc236878ac240728b344555e4e9", "title": "Investigating Nuisance Factors in Face Recognition with DCNN Representation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Ferrari_Investigating_Nuisance_Factors_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014820", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.86", "http://doi.org/10.1109/CVPRW.2017.86"]}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.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": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "2c052a1c77a3ec2604b3deb702d77c41418c7d3e", "title": "What Is the Challenge for Deep Learning in Unconstrained Face Recognition?", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373863", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00070", "http://doi.org/10.1109/FG.2018.00070"]}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "2ad7cef781f98fd66101fa4a78e012369d064830", "title": "Neural Aggregation Network for Video Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.05474.pdf"], "doi": []}, {"id": "31aa20911cc7a2b556e7d273f0bdd5a2f0671e0a", "title": "Patch-based Face Recognition using a Hierarchical Multi-label Matcher", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01417.pdf"], "doi": []}, {"id": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"], "doi": []}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "b5ca8d4f259f35c1f3edfd9f108ce29881e478b0", "title": "Disentangled Representation Learning GAN for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Tran_Yin_Liu_CVPR2017.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Tran_Disentangled_Representation_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.141", "http://doi.org/10.1109/CVPR.2017.141"]}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "title": "Comparator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11440.pdf"], "doi": []}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "7e8c8b1d72c67e2e241184448715a8d4bd88a727", "title": "Face Verification Based on Relational Disparity Features and Partial Least Squares Models", "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_SIBGRAPI_Vareto.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097314", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.34", "http://doi.org/10.1109/SIBGRAPI.2017.34"]}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "6ed27a41214716259676b6949999cdf4b12d0bdd", "title": "A Sparse and Inlier Based SIFT and SURF Features for Automated Face Recognition", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2982112"]}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"id": "c69916375fec3c3ebba3aafb31c99a2beb0151c4", "title": "Face recognition in video surveillance from a single reference sample through domain adaptation", "year": "2017", "pdf": [], "doi": []}, {"id": "7f6cd03e3b7b63fca7170e317b3bb072ec9889e0", "title": "A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09359.pdf"], "doi": []}, {"id": "df51dfe55912d30fc2f792561e9e0c2b43179089", "title": "Face Hallucination Using Linear Models of Coupled Sparse Support", "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.06009.pdf"], "doi": []}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "b2ae5c496fe01bb2e2dee107f75b82c6a2a23374", "title": "Attention-Based Template Adaptation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961846", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.116", "http://doi.org/10.1109/FG.2017.116"]}, {"id": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "f3b84a03985de3890b400b68e2a92c0a00afd9d0", "title": "Large Variability Surveillance Camera Face Database", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7579704"]}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "8c7f4c11b0c9e8edf62a0f5e6cf0dd9d2da431fa", "title": "Dataset Augmentation for Pose and Lighting Invariant Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04326.pdf"], "doi": []}, {"id": "1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "title": "Face Search at Scale", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/WangOttoJain_FaceSearchAtScale_TPAMI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494641", "http://doi.org/10.1109/TPAMI.2016.2582166", "https://www.ncbi.nlm.nih.gov/pubmed/27333599", "https://www.wikidata.org/entity/Q36059157"]}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "title": "Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575544"]}, {"id": "49258cc3979103681848284470056956b77caf80", "title": "EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors", "year": "2017", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/epat-euclidean-perturbation.pdf?attachauth=ANoY7crlk9caZscfn0KRjed81DVoV-Ec6ZHI7txQrJiM_NBic36WKIg-ODwefcBtfgfKdS1iX28MlSXNyB7pE0D7opPjlGqxBVVa1UuIiydhFOgkXlXGfrYqSPS6749JeYWDkfvwWraRfB_CK8bu77jAEA2sIVNgaVRa_7zvmzwnstLwSUowbYC1LRc5yDt8ieT_jdEb_TuhMgR2j03BdHgyUkVjl0TXRukYHWglDOxzHAKwj0vsb4U%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961745", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.36", "http://doi.org/10.1109/FG.2017.36"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.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": "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": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "011e6146995d5d63c852bd776f782cc6f6e11b7b", "title": "Fast Training of Triplet-Based Deep Binary Embedding Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.02844.pdf"], "doi": []}, {"id": "1ba966584fa935ba8ab8654016a12298fcd2b048", "title": "Generalized Deep Image to Image Regression", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100056"]}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "04bb3fa0824d255b01e9db4946ead9f856cc0b59", "title": "Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.07972.pdf"], "doi": []}, {"id": "91d513af1f667f64c9afc55ea1f45b0be7ba08d4", "title": "Automatic Face Image Quality Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09887.pdf"], "doi": []}, {"id": "d92084e376a795d3943df577d3b3f3b7d12eeae5", "title": "Face and Image Representation in Deep CNN Features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961806", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.85", "http://doi.org/10.1109/FG.2017.85"]}, {"id": "4e32fbb58154e878dd2fd4b06398f85636fd0cf4", "title": "A Hierarchical Matcher using Local Classifier Chains", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02339.pdf"], "doi": []}, {"id": "d0f690b9ad1d66e06e4da18381d92443e9d15f11", "title": "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578642"]}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "1ef4aac0ebc34e76123f848c256840d89ff728d0", "title": "Rapid Synthesis of Massive Face Sets for Improved Face Recognition", "year": "2017", "pdf": ["http://www.openu.ac.il/home/hassner/projects/augmented_faces/Masietal2017rapid.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961797", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.76", "http://doi.org/10.1109/FG.2017.76"]}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "6097ea6fd21a5f86a10a52e6e4dd5b78a436d5bf", "title": "Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.05300.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "098363b29eef1471c494382338687f2fe98f6e15", "title": "Metadata-Based Feature Aggregation Network for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411212", "http://doi.org/10.1109/ICB2018.2018.00028", "https://doi.org/10.1109/ICB2018.2018.00028"]}, {"id": "84c5b45328dee855c4855a104ac9c0558cc8a328", "title": "Conformal Mapping of a 3D Face Representation onto a 2D Image for CNN Based Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411213", "http://doi.org/10.1109/ICB2018.2018.00029"]}, {"id": "a3f69a073dcfb6da8038607a9f14eb28b5dab2db", "title": "3D-Aided Deep Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a3f6/9a073dcfb6da8038607a9f14eb28b5dab2db.pdf"], "doi": []}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "title": "Representation Learning by Rotating Your Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11136.pdf"], "doi": []}, {"id": "64d9c5ab4cab193046ac839b74d182a472fe45ba", "title": "NosePose : a competitive , landmark-free methodology for head pose estimation in the wild", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/64d9/c5ab4cab193046ac839b74d182a472fe45ba.pdf"], "doi": []}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "5c01d8bffb5cf7a5f871e3c691f8dc7dba6e6da9", "title": "Survey of biometric pattern recognition via machine learning techniques", "year": "2018", "pdf": ["http://www.m-hikari.com/ces/ces2018/ces33-36-2018/p/hernandezCES33-36-2018-2.pdf"], "doi": ["https://doi.org/10.12988/ces.2018.84166"]}, {"id": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"], "doi": []}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "a8117a4733cce9148c35fb6888962f665ae65b1e", "title": "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00438.pdf"], "doi": []}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "b971266b29fcecf1d5efe1c4dcdc2355cb188ab0", "title": "On the Reconstruction of Face Images from Deep Face Templates.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.00832.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "title": "Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441009", "http://doi.org/10.1109/SACI.2018.8441009", "https://doi.org/10.1109/SACI.2018.8441009"]}, {"id": "77037a22c9b8169930d74d2ce6f50f1a999c1221", "title": "Robust Face Recognition With Kernelized Locality-Sensitive Group Sparsity Representation", "year": "2017", "pdf": ["https://ueaeprints.uea.ac.uk/64308/1/Accepted_manuscript.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7949052", "http://doi.org/10.1109/TIP.2017.2716180", "https://www.ncbi.nlm.nih.gov/pubmed/28641251", "https://www.wikidata.org/entity/Q38713616"]}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "2f7e9b45255c9029d2ae97bbb004d6072e70fa79", "title": "cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.08247.pdf"], "doi": []}, {"id": "6909cd34a1eceba2140e2c02a842cefcecf33645", "title": "Face Recognition of the Rhinopithecus Roxellana Qinlingensis Based on Improved HOG and Sparse Representation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8128617"]}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "fab60b3db164327be8588bce6ce5e45d5b882db6", "title": "Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fab6/0b3db164327be8588bce6ce5e45d5b882db6.pdf"], "doi": []}, {"id": "5fea59ccdab484873081eaa37af88e26e3db2aed", "title": "Capacitive Sensor for Tagless Remote Human Identification Using Body Frequency Absorption Signatures", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8263394", "http://doi.org/10.1109/TIM.2017.2789078"]}, {"id": "99ced8f36d66dce20d121f3a29f52d8b27a1da6c", "title": "Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05675.pdf"], "doi": []}, {"id": "e988be047b28ba3b2f1e4cdba3e8c94026139fcf", "title": "Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04710.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "aed321909bb87c81121c841b21d31509d6c78f69", "title": "Unfamiliar Sides , Video , Image Enhancement in Face Recognition 1", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aed3/21909bb87c81121c841b21d31509d6c78f69.pdf"], "doi": []}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/ijb_b.json b/site/datasets/unknown/ijb_b.json index 6b029642..f11f4e08 100644 --- a/site/datasets/unknown/ijb_b.json +++ b/site/datasets/unknown/ijb_b.json @@ -1 +1 @@ -{"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "citations": [{"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "title": "Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575544"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "title": "Comparator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11440.pdf"], "doi": []}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"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": "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "title": "Using deep learning for social analysis in egocentric images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b13a/b3647352c3af2ba656f93b69bb5ae9a69fe5.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "944ea33211d67663e04d0181843db634e42cb2ca", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "citations": [{"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "title": "Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575544"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "title": "Comparator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11440.pdf"], "doi": []}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"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": "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "title": "Using deep learning for social analysis in egocentric images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b13a/b3647352c3af2ba656f93b69bb5ae9a69fe5.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/ijb_c.json b/site/datasets/unknown/ijb_c.json index 09a16bf1..c36cd76e 100644 --- a/site/datasets/unknown/ijb_c.json +++ b/site/datasets/unknown/ijb_c.json @@ -1 +1 @@ -{"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "citations": [{"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "title": "Comparator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11440.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "citations": [{"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "title": "Comparator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11440.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/imdb_wiki.json b/site/datasets/unknown/imdb_wiki.json index e71818cb..38748b18 100644 --- a/site/datasets/unknown/imdb_wiki.json +++ b/site/datasets/unknown/imdb_wiki.json @@ -1 +1 @@ -{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "citations": [{"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "92b61b09d2eed4937058d0f9494d9efeddc39002", "title": "BoxCars: Improving Vehicle Fine-Grained Recognition using 3D Bounding Boxes in Traffic Surveillance", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92b6/1b09d2eed4937058d0f9494d9efeddc39002.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"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": "bb2944569a2b3d3b8340b36d4903c8cddf20047f", "title": "Improving Regression Performance with Distributional Losses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04613.pdf"], "doi": []}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "357963a46dfc150670061dbc23da6ba7d6da786e", "title": "Online Regression with Model Selection", "year": "2018", "pdf": [], "doi": []}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "d3b9ef82c999f16641c7dd41efe6695bf44d34f0", "title": "Multimodal emotion recognition based human-robot interaction enhancement", "year": "2018", "pdf": [], "doi": []}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "4560491820e0ee49736aea9b81d57c3939a69e12", "title": "Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04008.pdf"], "doi": []}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.pdf"], "doi": []}, {"id": "ff60d4601adabe04214c67e12253ea3359f4e082", "title": "Video-based emotion recognition in the wild using deep transfer learning and score fusion", "year": "2017", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/imavis_emotiw15_v10.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.01.012"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "36939e6a365e9db904d81325212177c9e9e76c54", "title": "Assessing the Accuracy of Four Popular Face Recognition Tools for Inferring Gender, Age, and Race", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/941b/5492e6ac98355fd7bc7531f846d638e814ac.pdf"], "doi": []}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "390dc36d547dbf9bc9774ec8de454e6317a2d170", "title": "InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00193.pdf"], "doi": []}, {"id": "d7c2f972c21290e9df8cce1b4f89389983268cb7", "title": "Deep Regression Forests for Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578343"]}, {"id": "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "title": "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02952.pdf"], "doi": []}, {"id": "a9ad8f6c6bf110485921b17f9790241b1548487c", "title": "Automatic Skin Tone Extraction for Visagism Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a9ad/8f6c6bf110485921b17f9790241b1548487c.pdf"], "doi": []}, {"id": "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "title": "NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08297.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "8397956c7ad3bd24c6c6c0b38866e165367327c0", "title": "Social Relation Trait Discovery from Visual LifeLog Data with Facial Multi-Attribute Framework", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8397/956c7ad3bd24c6c6c0b38866e165367327c0.pdf"], "doi": []}, {"id": "df7af280771a6c8302b75ed0a14ffe7854cca679", "title": "Prediction of users' facial attractiveness on an online dating website", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026293", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026293", "http://doi.org/10.1109/ICMEW.2017.8026293"]}, {"id": "a101de23d08350011890f851d4f73ba8f39259c8", "title": "Multi-Task Zipping via Layer-wise Neuron Sharing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09791.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "9c63c2210b5dde771ec8751cebc4281e74034fb0", "title": "CNN for IMU assisted odometry estimation using velodyne LiDAR", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06352.pdf"], "doi": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "8f89aed13cb3555b56fccd715753f9ea72f27f05", "title": "Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08690.pdf"], "doi": []}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "ca7ea4e39ed4ab53394197cf5761be734c7b61fa", "title": "CAAE++: Improved CAAE for Age Progression/Regression", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8528393"]}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "b8e5800dfc590f82a0f7eedefce9abebf8088d12", "title": "How to Train Your Neural Network with Dictionary Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7923743", "http://doi.org/10.1109/DCC.2017.87"]}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "377c6563f97e76a4dc836a0bd23d7673492b1aae", "title": "Motion deblurring of faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03330.pdf"], "doi": []}, {"id": "5366573e96a1dadfcd4fd592f83017e378a0e185", "title": "Server, server in the cloud. Who is the fairest in the crowd?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08801.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "bcd679f5d4ff8c85fddf7f4aff430dbfaa801e15", "title": "XBadges. Identifying and training soft skills with commercial video games. Improving persistence, risk taking & spatial reasoning with commercial video games and facial and emotional recognition system", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00863.pdf"], "doi": []}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "a398fcb30b49bee32d8f2c4cd3939517cd262025", "title": "Generative Adversarial Style Transfer Networks for Face Aging", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Palsson_Generative_Adversarial_Style_CVPR_2018_paper.pdf", "http://www.vision.ee.ethz.ch/~aeirikur/generative-adversarial-style.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Palsson-CVPRW-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575452", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00282", "http://doi.org/10.1109/CVPRW.2018.00282"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "ca50e441e275a3c04299bb6b59f6c098abecec1d", "title": "Face Recognition and Age Estimation Implications of Changes in Facial Features: A Critical Review Study", "year": "2018", "pdf": ["https://umexpert.um.edu.my/file/publication/00005433_161555_73291.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361072", "http://doi.org/10.1109/ACCESS.2018.2836924"]}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "4c81c76f799c48c33bb63b9369d013f51eaf5ada", "title": "Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w26/papers/Kaya_Multi-Modal_Score_Fusion_CVPR_2017_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/kaya17chalearn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014944", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.210", "http://doi.org/10.1109/CVPRW.2017.210"]}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04280.pdf"], "doi": []}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237444", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.182", "http://doi.org/10.1109/ICCV.2017.182"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02181.pdf"], "doi": []}, {"id": "71c4b8e1bb25ee80f4317411ea8180dae6499524", "title": "Extended Features using Machine Learning Techniques for Photo Liking Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463396", "http://doi.org/10.1109/QoMEX.2018.8463396"]}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "ac12ba5bf81de83991210b4cd95b4ad048317681", "title": "Combining Deep Facial and Ambient Features for First Impression Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac12/ba5bf81de83991210b4cd95b4ad048317681.pdf"], "doi": []}, {"id": "6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365", "title": "Privacy-Preserving Deep Inference for Rich User Data on The Cloud", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01727.pdf"], "doi": []}, {"id": "0e3840ea3227851aaf4633133dd3cbf9bbe89e5b", "title": "ChaLearn Looking at People: Events and Resources", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0e38/40ea3227851aaf4633133dd3cbf9bbe89e5b.pdf"], "doi": []}, {"id": "a7664247a37a89c74d0e1a1606a99119cffc41d4", "title": "Modal Consistency based Pre-Trained Multi-Model Reuse", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a766/4247a37a89c74d0e1a1606a99119cffc41d4.pdf"], "doi": []}, {"id": "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "title": "Dual Conditional GANs for Face Aging and Rejuvenation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93e9/62f8886eae13b02ad2aa98bdedfbd7e68709.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "citations": [{"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "92b61b09d2eed4937058d0f9494d9efeddc39002", "title": "BoxCars: Improving Vehicle Fine-Grained Recognition using 3D Bounding Boxes in Traffic Surveillance", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92b6/1b09d2eed4937058d0f9494d9efeddc39002.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"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": "bb2944569a2b3d3b8340b36d4903c8cddf20047f", "title": "Improving Regression Performance with Distributional Losses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04613.pdf"], "doi": []}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "357963a46dfc150670061dbc23da6ba7d6da786e", "title": "Online Regression with Model Selection", "year": "2018", "pdf": [], "doi": []}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "d3b9ef82c999f16641c7dd41efe6695bf44d34f0", "title": "Multimodal emotion recognition based human-robot interaction enhancement", "year": "2018", "pdf": [], "doi": []}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "4560491820e0ee49736aea9b81d57c3939a69e12", "title": "Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04008.pdf"], "doi": []}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.pdf"], "doi": []}, {"id": "ff60d4601adabe04214c67e12253ea3359f4e082", "title": "Video-based emotion recognition in the wild using deep transfer learning and score fusion", "year": "2017", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/imavis_emotiw15_v10.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.01.012"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "36939e6a365e9db904d81325212177c9e9e76c54", "title": "Assessing the Accuracy of Four Popular Face Recognition Tools for Inferring Gender, Age, and Race", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/941b/5492e6ac98355fd7bc7531f846d638e814ac.pdf"], "doi": []}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "390dc36d547dbf9bc9774ec8de454e6317a2d170", "title": "InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00193.pdf"], "doi": []}, {"id": "d7c2f972c21290e9df8cce1b4f89389983268cb7", "title": "Deep Regression Forests for Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578343"]}, {"id": "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "title": "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02952.pdf"], "doi": []}, {"id": "a9ad8f6c6bf110485921b17f9790241b1548487c", "title": "Automatic Skin Tone Extraction for Visagism Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a9ad/8f6c6bf110485921b17f9790241b1548487c.pdf"], "doi": []}, {"id": "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "title": "NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08297.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "8397956c7ad3bd24c6c6c0b38866e165367327c0", "title": "Social Relation Trait Discovery from Visual LifeLog Data with Facial Multi-Attribute Framework", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8397/956c7ad3bd24c6c6c0b38866e165367327c0.pdf"], "doi": []}, {"id": "df7af280771a6c8302b75ed0a14ffe7854cca679", "title": "Prediction of users' facial attractiveness on an online dating website", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026293", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026293", "http://doi.org/10.1109/ICMEW.2017.8026293"]}, {"id": "a101de23d08350011890f851d4f73ba8f39259c8", "title": "Multi-Task Zipping via Layer-wise Neuron Sharing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09791.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "9c63c2210b5dde771ec8751cebc4281e74034fb0", "title": "CNN for IMU assisted odometry estimation using velodyne LiDAR", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06352.pdf"], "doi": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "8f89aed13cb3555b56fccd715753f9ea72f27f05", "title": "Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08690.pdf"], "doi": []}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "ca7ea4e39ed4ab53394197cf5761be734c7b61fa", "title": "CAAE++: Improved CAAE for Age Progression/Regression", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8528393"]}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "b8e5800dfc590f82a0f7eedefce9abebf8088d12", "title": "How to Train Your Neural Network with Dictionary Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7923743", "http://doi.org/10.1109/DCC.2017.87"]}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "377c6563f97e76a4dc836a0bd23d7673492b1aae", "title": "Motion deblurring of faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03330.pdf"], "doi": []}, {"id": "5366573e96a1dadfcd4fd592f83017e378a0e185", "title": "Server, server in the cloud. Who is the fairest in the crowd?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08801.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "bcd679f5d4ff8c85fddf7f4aff430dbfaa801e15", "title": "XBadges. Identifying and training soft skills with commercial video games. Improving persistence, risk taking & spatial reasoning with commercial video games and facial and emotional recognition system", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00863.pdf"], "doi": []}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "a398fcb30b49bee32d8f2c4cd3939517cd262025", "title": "Generative Adversarial Style Transfer Networks for Face Aging", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Palsson_Generative_Adversarial_Style_CVPR_2018_paper.pdf", "http://www.vision.ee.ethz.ch/~aeirikur/generative-adversarial-style.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Palsson-CVPRW-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575452", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00282", "http://doi.org/10.1109/CVPRW.2018.00282"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "ca50e441e275a3c04299bb6b59f6c098abecec1d", "title": "Face Recognition and Age Estimation Implications of Changes in Facial Features: A Critical Review Study", "year": "2018", "pdf": ["https://umexpert.um.edu.my/file/publication/00005433_161555_73291.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361072", "http://doi.org/10.1109/ACCESS.2018.2836924"]}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "4c81c76f799c48c33bb63b9369d013f51eaf5ada", "title": "Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w26/papers/Kaya_Multi-Modal_Score_Fusion_CVPR_2017_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/kaya17chalearn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014944", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.210", "http://doi.org/10.1109/CVPRW.2017.210"]}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04280.pdf"], "doi": []}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237444", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.182", "http://doi.org/10.1109/ICCV.2017.182"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02181.pdf"], "doi": []}, {"id": "71c4b8e1bb25ee80f4317411ea8180dae6499524", "title": "Extended Features using Machine Learning Techniques for Photo Liking Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463396", "http://doi.org/10.1109/QoMEX.2018.8463396"]}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "ac12ba5bf81de83991210b4cd95b4ad048317681", "title": "Combining Deep Facial and Ambient Features for First Impression Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac12/ba5bf81de83991210b4cd95b4ad048317681.pdf"], "doi": []}, {"id": "6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365", "title": "Privacy-Preserving Deep Inference for Rich User Data on The Cloud", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01727.pdf"], "doi": []}, {"id": "0e3840ea3227851aaf4633133dd3cbf9bbe89e5b", "title": "ChaLearn Looking at People: Events and Resources", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0e38/40ea3227851aaf4633133dd3cbf9bbe89e5b.pdf"], "doi": []}, {"id": "a7664247a37a89c74d0e1a1606a99119cffc41d4", "title": "Modal Consistency based Pre-Trained Multi-Model Reuse", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a766/4247a37a89c74d0e1a1606a99119cffc41d4.pdf"], "doi": []}, {"id": "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "title": "Dual Conditional GANs for Face Aging and Rejuvenation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93e9/62f8886eae13b02ad2aa98bdedfbd7e68709.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/lfw.json b/site/datasets/unknown/lfw.json index 7ab94bb7..e1a810e4 100644 --- a/site/datasets/unknown/lfw.json +++ b/site/datasets/unknown/lfw.json @@ -1 +1 @@ -{"id": "2d3482dcff69c7417c7b933f22de606a0e8e42d4", "citations": [{"id": "0db1cd7a4aed9d17256b02946660a2ea902d6635", "title": "Keystroke Biometrics Ongoing Competition", "year": "2016", "pdf": ["http://atvs.ii.uam.es/audias/files/2016_IEEEAccess_KBOC_Aythami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738412", "http://doi.org/10.1109/ACCESS.2016.2626718"]}, {"id": "303828619630ca295f772be0a7b9fe8007dfaea3", "title": "Face verification in the wild using similarity in representations", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324125"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "b216040f110d2549f61e3f5a7261cab128cab361", "title": "Weighted Voting of Discriminative Regions for Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b216/040f110d2549f61e3f5a7261cab128cab361.pdf"], "doi": []}, {"id": "5b01d4338734aefb16ee82c4c59763d3abc008e6", "title": "A Robust Face Recognition Algorithm Based on Kernel Regularized Relevance-Weighted Discriminant Analysis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5b01/d4338734aefb16ee82c4c59763d3abc008e6.pdf"], "doi": []}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "77d31d2ec25df44781d999d6ff980183093fb3de", "title": "The Multiverse Loss for Robust Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.09033.pdf"], "doi": []}, {"id": "27e97b67a8401def58eb41b4b00d3dfb0e4ad1a8", "title": "Knowledge Based Face Detection Using Fusion Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/27e9/7b67a8401def58eb41b4b00d3dfb0e4ad1a8.pdf"], "doi": []}, {"id": "d6e785d3466eeaaae1f6c792f679d1111ab30302", "title": "People tracking and re-identification by face recognition for RGB-D camera networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8098689", "http://doi.org/10.1109/ECMR.2017.8098689"]}, {"id": "2348f1fa2940b01ec90e023fac8cc96812189774", "title": "Face verification based on convolutional neural network and deep learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8110157", "http://doi.ieeecomputersociety.org/10.1109/EWDTS.2017.8110157", "http://doi.org/10.1109/EWDTS.2017.8110157"]}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "b624d6eaa1d21e2a34e1b9bc34cfe2159ed39449", "title": "Cross Audio-Visual Speaker Identification in the Wild Using Deep Learning", "year": "2017", "pdf": [], "doi": []}, {"id": "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393", "http://doi.org/10.1109/CVPR.2017.393"]}, {"id": "ac5d0705a9ddba29151fd539c668ba2c0d16deb6", "title": "RED-Net: A Recurrent Encoder\u2013Decoder Network for Video-Based Face Alignment", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06066.pdf"], "doi": []}, {"id": "384f972c81c52fe36849600728865ea50a0c4670", "title": "Multi-Fold Gabor, PCA, and ICA Filter Convolution Descriptor for Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1604.07057.pdf"], "doi": []}, {"id": "565f7c767e6b150ebda491e04e6b1de759fda2d4", "title": "Fine-grained face verification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.11.023"]}, {"id": "2d88e7922d9f046ace0234f9f96f570ee848a5b5", "title": "Building Better Detection with Privileged Information", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d88/e7922d9f046ace0234f9f96f570ee848a5b5.pdf"], "doi": []}, {"id": "7ef0cc4f3f7566f96f168123bac1e07053a939b2", "title": "Triangular Similarity Metric Learning: a Siamese Architecture Approach. ( L'apprentissage de similarit\u00e9 triangulaire en utilisant des r\u00e9seaux siamois)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e735/b8212d8a81909753291d5d06789a917014f8.pdf"], "doi": []}, {"id": "65ee4de888e5b934429dcb126ee0ae544156c9bd", "title": "Face recognition using linear representation ensembles", "year": "2016", "pdf": ["http://bmc.uestc.edu.cn/~fshen/PR2016_hanxi.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.12.011"]}, {"id": "df51dfe55912d30fc2f792561e9e0c2b43179089", "title": "Face Hallucination Using Linear Models of Coupled Sparse Support", "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.06009.pdf"], "doi": []}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "b26d23501f8e9f89ce822057a6c645bc9a634b2c", "title": "Multi Seed Authentication Using S/Key Scheme", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7336335", "http://doi.org/10.1109/HPCC-CSS-ICESS.2015.104"]}, {"id": "3393459600368be2c4c9878a3f65a57dcc0c2cfa", "title": "Eigen-PEP for Video Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3393/459600368be2c4c9878a3f65a57dcc0c2cfa.pdf"], "doi": []}, {"id": "10ab1b48b2a55ec9e2920a5397febd84906a7769", "title": "Demo: I-Pic: A Platform for Privacy-Compliant Image Capture", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2938589"]}, {"id": "ff3a89da1140c7d75586527002f9fd28cbfb04b6", "title": "Strengths and weaknesses of deep learning models for face recognition against image degradations", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2017.0083"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "214ac8196d8061981bef271b37a279526aab5024", "title": "Face Recognition Using Smoothed High-Dimensional Representation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/214a/c8196d8061981bef271b37a279526aab5024.pdf"], "doi": []}, {"id": "07d3dddb363870cfd980ca8d748c8b1418aad863", "title": "Learning from Differentially Private Neural Activations with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567659", "http://doi.ieeecomputersociety.org/10.1109/SEC.2018.00014", "http://doi.org/10.1109/SEC.2018.00014"]}, {"id": "d9208c964bed4cc0055e313353c73fd00a60c412", "title": "Multi-class Fukunaga Koontz discriminant analysis for enhanced face recognition", "year": "2016", "pdf": ["https://users.ece.cmu.edu/~juefeix/felix_pr16_fkda.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.10.007"]}, {"id": "7d40e7e5c01bd551edf65902386401e1b8b8014b", "title": "Channel-Level Acceleration of Deep Face Representations", "year": "2015", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/RRR_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303876", "http://doi.org/10.1109/ACCESS.2015.2494536"]}, {"id": "6abdeda10a4261ae2d91806d367f7eca19e44792", "title": "Face recognition in real-world images", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001482.pdf", "https://infoscience.epfl.ch/record/224338/files/1926.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952403", "http://doi.org/10.1109/ICASSP.2017.7952403"]}, {"id": "7aa4c16a8e1481629f16167dea313fe9256abb42", "title": "Multi-task learning for face identification and attribute estimation", "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002981.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952703", "http://doi.org/10.1109/ICASSP.2017.7952703"]}, {"id": "52e181018aa26df71a02ffffaa1d061fc43cf09d", "title": "Coupled 3D Convolutional Neural Networks for Audio-Visual Recognition", "year": "2017", "pdf": [], "doi": []}, {"id": "5bb87c7462c6c1ec5d60bde169c3a785ba5ea48f", "title": "Targeting Ultimate Accuracy: Face Recognition via Deep Embedding", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07310.pdf"], "doi": []}, {"id": "930b3472592ced6665cd630be7ae57d4abb8b4b1", "title": "Development of two novel face-recognition CAPTCHAs: A security and usability study", "year": "2016", "pdf": ["https://epub.uni-regensburg.de/33570/1/CAPTCHA_Usability.pdf"], "doi": ["http://doi.org/10.1016/j.cose.2016.03.007"]}, {"id": "7e8c8b1d72c67e2e241184448715a8d4bd88a727", "title": "Face Verification Based on Relational Disparity Features and Partial Least Squares Models", "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_SIBGRAPI_Vareto.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097314", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.34", "http://doi.org/10.1109/SIBGRAPI.2017.34"]}, {"id": "53de11d144cd2eda7cf1bb644ae27f8ef2489289", "title": "Extending Detection with Privileged Information via Generalized Distillation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424637", "http://doi.org/10.1109/SPW.2018.00021"]}, {"id": "4be3d083e05fed1adc1af3dc4a119b74590b0eaa", "title": "Image-Based Seed Generation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7809735", "http://doi.ieeecomputersociety.org/10.1109/CIC.2016.064", "http://doi.org/10.1109/CIC.2016.064"]}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "title": "Deep Disguised Faces Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Zhang_Deep_Disguised_Faces_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575272", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00012", "http://doi.org/10.1109/CVPRW.2018.00012"]}, {"id": "204b2b9c33d2c3be77dbd6d82dfefd1dfa95d8a3", "title": "Deep Face Recognition under Eyeglass and Scale Variation Using Extended Siamese Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575869", "http://doi.org/10.1109/ACPR.2017.48"]}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "5ec7925cb1af29cc4916ed552a59db42c82f52d0", "title": "Cross Audio-Visual Recognition in the Wild Using Deep Learning", "year": "2017", "pdf": [], "doi": []}, {"id": "ac26166857e55fd5c64ae7194a169ff4e473eb8b", "title": "Personalized Age Progression with Bi-Level Aging Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01039.pdf"], "doi": []}, {"id": "aaec8141d57d29aa3cedf1baec9633180ddb7a3d", "title": "Geometry-aware metric learning for similar face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552916", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552916", "http://doi.org/10.1109/ICME.2016.7552916"]}, {"id": "d7080ad3381ff613f7445e8f8ac6aec0e776e79b", "title": "Compare and Contrast: Learning Prominent Visual Differences", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00112.pdf"], "doi": []}, {"id": "e97ba85a4550667b8a28f83a98808d489e0ff3bc", "title": "A Research on Fast Face Feature Points Detection on Smart Mobile Devices", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1155/2018%2F9729014", "https://doi.org/10.1155/2018/9729014"]}, {"id": "3ebb0209d5e99b22c67e425a67a959f4db8d1f47", "title": "Subspace-Based Convolutional Network for Handwritten Character Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270104", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.173", "http://doi.org/10.1109/ICDAR.2017.173"]}, {"id": "0b5915fdba1e99e401f0e964deed33a9e12357bb", "title": "Component-Based Representation in Automated Face Recognition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6341076"]}, {"id": "67c56c3893d4ecac99e263e1374ce851fb988e4f", "title": "A New Approach to Partial Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/67c5/6c3893d4ecac99e263e1374ce851fb988e4f.pdf"], "doi": []}, {"id": "9ec9a80b1c9ee6450f4419f01e457bb87d91bd5e", "title": "Optimized projection for Collaborative Representation based Classification and its applications to face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2016.01.012"]}, {"id": "ce5ee0c014b5559c8f294c34076de7e978f84844", "title": "Efficient object detection by prediction in 3D space", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.sigpro.2014.08.039"]}, {"id": "741da133076cee3cd0efa848e8ef8aee5adc98c9", "title": "Fisher's linear discriminant embedded metric learning", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2014.06.030"]}, {"id": "46d477442fa49a497b5ec794b613f127ee647bc5", "title": "Unrolling the Shutter: CNN to Correct Motion Distortions", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099735"]}, {"id": "9360cdc6ea9d1d373ff31387b5528fcea2d815ea", "title": "Honeycomb Model Based Skin Color Detector for Face Detection", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4749499"]}, {"id": "2775de727d56d50b63d473ef2ec7bfee9b62b185", "title": "Hand it over or set it down: A user study of object delivery with an assistive mobile manipulator", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5326254"]}, {"id": "43aa40eaa59244c233f83d81f86e12eba8d74b59", "title": "Fast pose invariant face recognition using super coupled multiresolution Markov Random Fields on a GPU", "year": "2014", "pdf": ["https://udrc.eng.ed.ac.uk/sites/udrc.eng.ed.ac.uk/files/publications/Pose_invariantPRL2014_kittler.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.05.017"]}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "c808c784237f167c78a87cc5a9d48152579c27a4", "title": "Know You at One Glance: A Compact Vector Representation for Low-Shot Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265437", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.227", "http://doi.org/10.1109/ICCVW.2017.227"]}, {"id": "1c7e1248ce254b3a9a0b6fef9e37d37620fc8aa3", "title": "Dynamic Image-to-Class Warping for Occluded Face Recognition", "year": "2014", "pdf": ["http://wrap.warwick.ac.uk/63261/13/WRAP_Wei_TIFS2014-WEI.pdf", "http://www2.warwick.ac.uk/fac/sci/dcs/people/chang-tsun_li/publications/TIF_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906281", "http://doi.org/10.1109/TIFS.2014.2359632"]}, {"id": "133f01aec1534604d184d56de866a4bd531dac87", "title": "Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5674057"]}, {"id": "13fd0a4d06f30a665fc0f6938cea6572f3b496f7", "title": "Regularized Extreme Learning Machine for Large-scale Media Content Analysis", "year": "2015", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/conference/2015_INNS_RELM.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.procs.2015.07.319"]}, {"id": "2c06781ba75d51f5246d65d1acf66ab182e9bde6", "title": "Open-set face recognition across look-alike faces in real-world scenarios", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2016.11.002"]}, {"id": "d0f690b9ad1d66e06e4da18381d92443e9d15f11", "title": "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578642"]}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "0037bff7be6d463785d4e5b2671da664cd7ef746", "title": "Multiple Instance Metric Learning from Automatically Labeled Bags of Faces", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/0037/bff7be6d463785d4e5b2671da664cd7ef746.pdf"], "doi": []}, {"id": "95df57cf3e15d75a8526b4fd3212d39538d31100", "title": "Towards Pose Invariant Face Recognition in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578333"]}, {"id": "59ac40ba02eb812e08f8a80f2303d7d97376fae9", "title": "Unsupervised Joint Alignment, Clustering and Feature Learning", "year": "2014", "pdf": [], "doi": []}, {"id": "75e7fa7290b9b740559725b9c59df0d457523ee3", "title": "A pr 2 01 8 Ultra Power-Efficient CNN Domain Specific Accelerator with 9 . 3 TOPS / Watt for Mobile and Embedded Applications", "year": "2018", "pdf": [], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "288dbc40c027af002298b38954d648fddd4e2fd3", "title": "Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/288d/bc40c027af002298b38954d648fddd4e2fd3.pdf"], "doi": []}, {"id": "0faf441a1ef1e788fb9ccd20484b104a1fa95ee8", "title": "A brief review on techniques for recognizing images under varying poses", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7124975", "http://doi.org/10.1109/ECS.2015.7124975"]}, {"id": "7a99b250f070e5adba3ed9483ea7ea47fc71ac8c", "title": "Efficient face recognition using wavelet-based generalized neural network", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.sigpro.2012.09.012"]}, {"id": "1b6394178dbc31d0867f0b44686d224a19d61cf4", "title": "EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca8e/5419fd570f19643425b24da801283b706fc1.pdf"], "doi": []}, {"id": "d065996d413814b58092d4b881f3ac6e9d6b15d8", "title": "CBR TECHNIQUES WITH SPARSE CODEWORDS TO RETRIEVE FACE IMAGE", "year": "2015", "pdf": [], "doi": []}, {"id": "1d53aebe67d0e088e2da587fd6b08c8e8ed7f45c", "title": "A Selection Module for Large-Scale Face Recognition Systems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1d53/aebe67d0e088e2da587fd6b08c8e8ed7f45c.pdf"], "doi": []}, {"id": "7480d8739eb7ab97c12c14e75658e5444b852e9f", "title": "MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfe4/b03951be323394e6749f6a30b2ac9b924479.pdf"], "doi": []}, {"id": "ddf099f0e0631da4a6396a17829160301796151c", "title": "Chen et al . Face Quality Value : Input : Feat -\u2010 5 Features : L 2 R + PKM Model : Feat -\u2010", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ddf0/99f0e0631da4a6396a17829160301796151c.pdf"], "doi": []}, {"id": "14e949f5754f9e5160e8bfa3f1364dd92c2bb8d6", "title": "Multi-subregion based correlation filter bank for robust face recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1603.07604.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "ac6b280f2a43516fbaf92073304002f9f4da0188", "title": "Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients", "year": "2014", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/PR14b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.03.024"]}, {"id": "94a7c97d1e3eb5dbfb20b180780451486597a9be", "title": "Facial attributes for active authentication on mobile devices", "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/attrspaper_final.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.004"]}, {"id": "210668e2dd74916ca1aa1555aff30e78cd3f477e", "title": "Detector of Facial Landmarks Learned by the Structured Output SVM", "year": "2012", "pdf": [], "doi": []}, {"id": "8e3d0b401dec8818cd0245c540c6bc032f169a1d", "title": "McGan: Mean and Covariance Feature Matching GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08398.pdf"], "doi": []}, {"id": "d37519f8b26a86162bff65ee48d3a805773b7c98", "title": "Fast and efficient compact feature descriptor for face recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076785"]}, {"id": "269912f07c693453dbe5ae69175d06e841e2d9b5", "title": "Adapting pedestrian detectors to new domains: A comprehensive review", "year": "2016", "pdf": ["http://eprints.whiterose.ac.uk/102212/1/elsarticle-template-num.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2016.01.029", "https://www.wikidata.org/entity/Q57949181"]}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"], "doi": []}, {"id": "0fa077478abea097a1b74915ccaaeb4952eaaec7", "title": "Object Classification With Joint Projection and Low-Rank Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.01594.pdf"], "doi": []}, {"id": "e692870efb009da4b9316678b354ae935fdf48eb", "title": "An Efficient and Robust Gender Classification System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7546094"]}, {"id": "02a92b79391ddac0acef4f665b396f7f39ca2972", "title": "Fusing landmark-based features at kernel level for face recognition \u2606", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.021"]}, {"id": "c3fb2399eb4bcec22723715556e31c44d086e054", "title": "Face recognition based on SIGMA sets of image features", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p499-srinivasan.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6853646", "http://doi.org/10.1109/ICASSP.2014.6853646"]}, {"id": "5209758096819efee15751c8875121bd27f2ee78", "title": "Finding Person Relations in Image Data of the Internet Archive", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08246.pdf"], "doi": []}, {"id": "cfbb2d32586b58f5681e459afd236380acd86e28", "title": "Improving alignment of faces for recognition", "year": "2011", "pdf": ["http://www.professeurs.polymtl.ca/christopher.pal/2011/ROSE.v2.5.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6058545", "http://doi.org/10.1109/ROSE.2011.6058545"]}, {"id": "2916dbb29b6b9b13f6d4f7517c239de9bd81b4f4", "title": "Online Heterogeneous Transfer Metric Learning", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0350.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F350", "https://doi.org/10.24963/ijcai.2018/350"]}, {"id": "8913a5b7ed91c5f6dec95349fbc6919deee4fc75", "title": "BigBIRD: A large-scale 3D database of object instances", "year": "2014", "pdf": ["http://www.cs.berkeley.edu/~karthik.narayan/assets/2014-ICRA-BigBIRD.pdf", "http://www.cs.cornell.edu/~hema/rgbd-workshop-2014/papers/Singh.pdf", "https://people.eecs.berkeley.edu/~pabbeel/papers/2014-ICRA-BigBIRD.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906903", "http://doi.org/10.1109/ICRA.2014.6906903"]}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "4d9b757b51e52dc5da81f47f7006833269a55ff2", "title": "Extrapolating Expected Accuracies for Large Multi-Class Problems", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09713.pdf"], "doi": []}, {"id": "ae1c92ae7e836eb3d964b998ac5f8699e5c90cfc", "title": "Large Scale Visual Recognition", "year": "2012", "pdf": [], "doi": []}, {"id": "d92084e376a795d3943df577d3b3f3b7d12eeae5", "title": "Face and Image Representation in Deep CNN Features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961806", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.85", "http://doi.org/10.1109/FG.2017.85"]}, {"id": "0b8c92463f8f5087696681fb62dad003c308ebe2", "title": "On matching sketches with digital face images", "year": "2010", "pdf": ["https://www.iiitd.edu.in/~richa/papers/BTAS10-Sketch.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634507", "http://doi.org/10.1109/BTAS.2010.5634507"]}, {"id": "de878384f00b6ce1caa66ac01735fb4b63ad0279", "title": "Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1049/iet-ipr.2014.0670"]}, {"id": "1bc075fd7cc4bd847c9dbf4e990f295954b89fe6", "title": "Towards Large-Scale 3D Face Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797090", "http://doi.org/10.1109/DICTA.2016.7797090"]}, {"id": "5a93f9084e59cb9730a498ff602a8c8703e5d8a5", "title": "Face Recognition using Local Quantized Patterns", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5a93/f9084e59cb9730a498ff602a8c8703e5d8a5.pdf"], "doi": []}, {"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"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": "f834c50e249c9796eb7f03da7459b71205dc0737", "title": "Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6008646", "http://doi.org/10.1109/TIP.2011.2166974", "https://www.ncbi.nlm.nih.gov/pubmed/21896385", "https://www.wikidata.org/entity/Q48113135"]}, {"id": "c5fe40875358a286594b77fa23285fcfb7bda68e", "title": "Face identification using reference-based features with message passing model", "year": "2013", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2012.pdf", "http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf", "https://cis.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2012.06.032"]}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "7f3a73babe733520112c0199ff8d26ddfc7038a0", "title": "Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f3a/73babe733520112c0199ff8d26ddfc7038a0.pdf"], "doi": []}, {"id": "13141284f1a7e1fe255f5c2b22c09e32f0a4d465", "title": "Object Tracking by Oversampling Local Features", "year": "2014", "pdf": ["http://www.micc.unifi.it/pernici/index_files/ALIEN_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6684527", "http://doi.org/10.1109/TPAMI.2013.250", "https://www.ncbi.nlm.nih.gov/pubmed/26353156", "https://www.wikidata.org/entity/Q48652939"]}, {"id": "f19ab817dd1ef64ee94e94689b0daae0f686e849", "title": "Blickrichtungsunabh\u00e4ngige Erkennung von Personen in Bild- und Tiefendaten", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/f19a/b817dd1ef64ee94e94689b0daae0f686e849.pdf"], "doi": []}, {"id": "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "title": "Frankenstein: Learning Deep Face Representations Using Small Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06470.pdf"], "doi": []}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "ada73060c0813d957576be471756fa7190d1e72d", "title": "VRPBench: A Vehicle Routing Benchmark Tool.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05402.pdf"], "doi": []}, {"id": "cfa205874bd192ab949132631a7eda995ecc57af", "title": "Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07457.pdf"], "doi": []}, {"id": "45dffa3cd37371c5eed78b6f170c7ab3b5cc491f", "title": "Face Recognition Using a Unified 3D Morphable Model", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0431/7e63c08e7888cef480fe79f12d3c255c5b00.pdf"], "doi": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "title": "Bayesian face recognition using 2D Gaussian-Hermite moments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe0c/51fd41cb2d5afa1bc1900bbbadb38a0de139.pdf"], "doi": []}, {"id": "8c9b29d6df5601d0bc9f6164d99a26a1cb1e256d", "title": "Two-Dimensional Joint Bayesian Method for Face Verification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8c9b/29d6df5601d0bc9f6164d99a26a1cb1e256d.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7094272", "http://doi.org/10.1109/TIP.2015.2426413", "https://www.ncbi.nlm.nih.gov/pubmed/25915959"]}, {"id": "51c3050fb509ca685de3d9ac2e965f0de1fb21cc", "title": "Fantope Regularization in Metric Learning", "year": "2014", "pdf": ["http://cedric.cnam.fr/~thomen/papers/Law_CVPR_2014_Fantope.pdf", "http://vision.ia.ac.cn/zh/senimar/reports/Fantope%20Regularization%20in%20Metric%20Learning%20-%20byh.pdf", "http://www-poleia.lip6.fr/~lawm/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Law_Fantope_Regularization_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909534", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.138", "http://doi.org/10.1109/CVPR.2014.138", "https://hal.archives-ouvertes.fr/hal-01094074/document"]}, {"id": "1617f56c86bf8ea61de62062a97961d23fcf03d3", "title": "Facial Similarity Learning with Humans in the Loop", "year": "2015", "pdf": ["https://page-one.springer.com/pdf/preview/10.1007/s11390-015-1540-3"], "doi": ["http://doi.org/10.1007/s11390-015-1540-3"]}, {"id": "26bf242c40b86e70f2a5f9db5a34f0ac6345f14c", "title": "Adversarial Metric Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03170.pdf"], "doi": []}, {"id": "dbc04694ef17c83bb12b3ad34da6092eab68ae68", "title": "Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.04423.pdf"], "doi": []}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "e724c9a69613bef36f67ae7ed6850b1942918804", "title": "Recognition of Faces Using Discriminative Features of LBP and HOG Descriptor in Varying Environment", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7546129"]}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "5a8f96f6906af8fbf73810b88c68b84a31555f60", "title": "Iterative Grassmannian Optimization for Robust Image Alignment", "year": "2014", "pdf": ["https://arxiv.org/pdf/1306.0404.pdf"], "doi": []}, {"id": "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "title": "Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dc2e/805d0038f9d1b3d1bc79192f1d90f6091ecb.pdf"], "doi": []}, {"id": "db0b512d4473bf9d08875bc001038e9a3fc71a11", "title": "Research on Unstructured Text Data Mining and Fault Classification Based on RNN-LSTM with Malfunction Inspection Report", "year": "2017", "pdf": ["http://www.mdpi.com/1996-1073/10/3/406/pdf"], "doi": ["https://doi.org/10.3390/en10030406"]}, {"id": "818e537b0c6ec8b388ab14d947dda50ff2f8ed13", "title": "Semi Supervised Learning in Wild Faces and Videos", "year": "2011", "pdf": [], "doi": []}, {"id": "3b9d94752f8488106b2c007e11c193f35d941e92", "title": "Appearance , Visual and Social Ensembles for Face Recognition in Personal Photo Collections", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3b9d/94752f8488106b2c007e11c193f35d941e92.pdf"], "doi": []}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-018-01617-y"]}, {"id": "3e4acf3f2d112fc6516abcdddbe9e17d839f5d9b", "title": "Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04363.pdf"], "doi": []}, {"id": "ce54e891e956d5b502a834ad131616786897dc91", "title": "Face Recognition Using LTP Algorithm", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce54/e891e956d5b502a834ad131616786897dc91.pdf"], "doi": []}, {"id": "6fa3857faba887ed048a9e355b3b8642c6aab1d8", "title": "Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fa3/857faba887ed048a9e355b3b8642c6aab1d8.pdf"], "doi": []}, {"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.06149.pdf"], "doi": []}, {"id": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"], "doi": []}, {"id": "60b3601d70f5cdcfef9934b24bcb3cc4dde663e7", "title": "Binary Gradient Correlation Patterns for Robust Face Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/60b3/601d70f5cdcfef9934b24bcb3cc4dde663e7.pdf"], "doi": []}, {"id": "c813413fc84be33d7c4ccdd4a1f025ccc73a77bd", "title": "Discriminative Bayesian Active Shape Models", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c813/413fc84be33d7c4ccdd4a1f025ccc73a77bd.pdf"], "doi": []}, {"id": "753bfc20fc820d33b8069dde1ddcb3a662d07a3f", "title": "Bilateral Two-Dimensional Neighborhood Preserving Discriminant Embedding for Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8013795"]}, {"id": "48bc87ccc6b6e2d318f91d5f1886432806fec553", "title": "Multiaccuracy: Black-Box Post-Processing for Fairness in Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12317.pdf"], "doi": []}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"], "doi": []}, {"id": "0a88f5936528dcfdd27df886b07e62f2fd2072d0", "title": "Supervised Congealing for Simultaneous Face Normalization and Eye Localization", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5344056"]}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "367f5243e3a7cd3dede3a9b2c540906d18161636", "title": "Weakly supervised learning from multiple modalities: exploiting video, audio and text for video understanding", "year": "2009", "pdf": [], "doi": []}, {"id": "a0b87e556ea7f4e1f5daafdd334c23549d593f48", "title": "Robot semantic place recognition based on deep belief networks and a direct use of tiny images. (Robot de reconnaissance des lieux s\u00e9mantiques bas\u00e9e sur l'architecture profonde et une utilisation directe de mini-images)", "year": "2012", "pdf": [], "doi": ["https://tel.archives-ouvertes.fr/tel-00960289", "https://tel.archives-ouvertes.fr/tel-00960289/document"]}, {"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": "731d33256d42dc4146019954c46c566aa666d7f2", "title": "Partially Shared Multi-task Convolutional Neural Network with Local Constraint for Face Attribute Learning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Partially_Shared_Multi-Task_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578549", "http://doi.org/10.1109/CVPR.2018.00451"]}, {"id": "ad7df582a51dab276cf3db3a56c4b7166bc3632c", "title": "SIFRS: Spoof Invariant Facial Recognition System (A Helping Hand for Visual Impaired People)", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8493971"]}, {"id": "68484ae8a042904a95a8d284a7f85a4e28e37513", "title": "Spoofing Deep Face Recognition with Custom Silicone Masks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6848/4ae8a042904a95a8d284a7f85a4e28e37513.pdf"], "doi": []}, {"id": "ea2ee5c53747878f30f6d9c576fd09d388ab0e2b", "title": "Viola-Jones based detectors: how much affects the training set?", "year": "2011", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15079/5/C075_LNCS_IBPRIA11_postprint.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-21257-4_37"]}, {"id": "2ef51b57c4a3743ac33e47e0dc6a40b0afcdd522", "title": "Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition", "year": "2011", "pdf": ["https://arxiv.org/pdf/1108.1122.pdf"], "doi": []}, {"id": "917423ac7e47cc6131084f645444aaf98cb98395", "title": "A high-throughput screening approach to discovering good forms of inspired visual representation", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/9174/23ac7e47cc6131084f645444aaf98cb98395.pdf"], "doi": []}, {"id": "2f17f6c460e02bd105dcbf14c9b73f34c5fb59bd", "title": "Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2f17/f6c460e02bd105dcbf14c9b73f34c5fb59bd.pdf"], "doi": []}, {"id": "eb526174fa071345ff7b1fad1fad240cd943a6d7", "title": "Deeply vulnerable: a study of the robustness of face recognition to presentation attacks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb52/6174fa071345ff7b1fad1fad240cd943a6d7.pdf"], "doi": []}, {"id": "743e582c3e70c6ec07094887ce8dae7248b970ad", "title": "Face Recognition based on Deep Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/743e/582c3e70c6ec07094887ce8dae7248b970ad.pdf"], "doi": []}, {"id": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "title": "Attribute and simile classifiers for face verification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459250"]}, {"id": "aba9acb4a607071af10684f2cfbdefa0507a4e9a", "title": "Uncorrelated multi-set feature learning for color face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.06.010"]}, {"id": "7db00be42ded44f87f23661c49913f9d64107983", "title": "TROPE R HCRAESE R PAID I 2 D FACE RECOGNITION : AN EXPERIMENTAL AND REPRODUCIBLE RESEARCH SURVEY", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7db0/0be42ded44f87f23661c49913f9d64107983.pdf"], "doi": []}, {"id": "ec00ecb64fa206cea8b2e716955a738a96424084", "title": "Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Hashemi_Intelligent_Synthesis_Driven_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265512", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.301", "http://doi.org/10.1109/ICCVW.2017.301"]}, {"id": "19d53bb35baf6ab02368756412800c218a2df71c", "title": "DeepDeblur: Fast one-step blurry face images restoration.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09515.pdf"], "doi": []}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977254", "http://doi.org/10.1109/ICPR.2014.542"]}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "baa6b659c18ede26085dff29fb1b3130217e9102", "title": "Head pose estimation using image abstraction and local directional quaternary patterns for multiclass classification", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2014.03.017"]}, {"id": "116808d63af1cdfa30b9cb9abfa6883f932cc44f", "title": "Feature fusion with covariance matrix regularization in face recognition", "year": "2018", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/44512/Feature%20Fusion%20with%20Covariance%20Matrix%20Regularization%20in.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.1016/j.sigpro.2017.10.024"]}, {"id": "6c01b349edb2d33530e8bb07ba338f009663a9dd", "title": "Cross-Media Alignment of Names and Faces", "year": "2010", "pdf": ["http://class.inrialpes.fr/pub/pham-tmm09.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5332299", "http://doi.org/10.1109/TMM.2009.2036232", "https://doi.org/10.1109/TMM.2009.2036232"]}, {"id": "238fc68b2e0ef9f5ec043d081451902573992a03", "title": "Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition", "year": "2016", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ChuanxianRen-ELGOF-TCYB.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7302030", "http://doi.org/10.1109/TCYB.2015.2484356", "https://www.ncbi.nlm.nih.gov/pubmed/26513817", "https://www.wikidata.org/entity/Q40379538"]}, {"id": "50f0c495a214b8d57892d43110728e54e413d47d", "title": "Pairwise support vector machines and their application to large scale problems", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/50f0/c495a214b8d57892d43110728e54e413d47d.pdf"], "doi": []}, {"id": "7c86f71de716a297950dc46f45152e03bfbc475d", "title": "Asymmetric Joint Learning for Heterogeneous Face Recognition", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16096", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16096/16249"]}, {"id": "02e133aacde6d0977bca01ffe971c79097097b7f", "title": "Convolutional Neural Fabrics", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02492.pdf"], "doi": []}, {"id": "1da83903c8d476c64c14d6851c85060411830129", "title": "Iterated Support Vector Machines for Distance Metric Learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00363.pdf"], "doi": []}, {"id": "5b0ebb8430a04d9259b321fc3c1cc1090b8e600e", "title": "The One-Shot similarity kernel", "year": "2009", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/osskernel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459323", "http://doi.org/10.1109/ICCV.2009.5459323"]}, {"id": "4526992d4de4da2c5fae7a5ceaad6b65441adf9d", "title": "System for Medical Mask Detection in the Operating Room Through Facial Attributes", "year": "2015", "pdf": ["http://persoal.citius.usc.es/manuel.mucientes/pubs/Nieto-Rodriguez15_ibpria.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-19390-8_16"]}, {"id": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"], "doi": []}, {"id": "90d735cffd84e8f2ae4d0c9493590f3a7d99daf1", "title": "Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/90d7/35cffd84e8f2ae4d0c9493590f3a7d99daf1.pdf"], "doi": []}, {"id": "e8dda897372e6b4cf903234c7a9c40117711d8d8", "title": "What do you think of my picture? Investigating factors of influence in profile images context perception", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e8dd/a897372e6b4cf903234c7a9c40117711d8d8.pdf"], "doi": []}, {"id": "7c2ecfb2feb2b8bd61232567631fe5c0f336cc14", "title": "Unblinking eyes: the ethics of automating surveillance", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s10676-012-9291-0"]}, {"id": "27a0a7837f9114143717fc63294a6500565294c2", "title": "Face Recognition in Unconstrained Environments : A Comparative Study", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/27a0/a7837f9114143717fc63294a6500565294c2.pdf"], "doi": []}, {"id": "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "title": "Compass local binary patterns for gender recognition of facial photographs and sketches", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.055"]}, {"id": "110359824a0e3b6480102b108372793265a24a86", "title": "Landmark perturbation-based data augmentation for unconstrained face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.03.011"]}, {"id": "a95dc0c4a9d882a903ce8c70e80399f38d2dcc89", "title": "Review and Implementation of High-Dimensional Local Binary Patterns and Its Application to Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a95d/c0c4a9d882a903ce8c70e80399f38d2dcc89.pdf"], "doi": []}, {"id": "b23bad5159c41b32fa07e901b1cf52fdb41450df", "title": "Multiscale Local Phase Quantization for Robust Component-Based Face Recognition Using Kernel Fusion of Multiple Descriptors", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6302142", "http://doi.org/10.1109/TPAMI.2012.199", "https://www.ncbi.nlm.nih.gov/pubmed/23520257", "https://www.wikidata.org/entity/Q51241668"]}, {"id": "f1aa120fb720f6cfaab13aea4b8379275e6d40a2", "title": "InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f1aa/120fb720f6cfaab13aea4b8379275e6d40a2.pdf"], "doi": []}, {"id": "6f7ce89aa3e01045fcd7f1c1635af7a09811a1fe", "title": "A novel rank order LoG filter for interest point detection", "year": "2012", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0000937.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6288039", "http://doi.org/10.1109/ICASSP.2012.6288039"]}, {"id": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789676", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.186", "http://doi.org/10.1109/CVPRW.2016.186"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "7fc5ab3743e6e9a2f4fe70152440e13a673e239b", "title": "Improved Face Recognition Rate Using HOG Features and SVM Classifier", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7fc5/ab3743e6e9a2f4fe70152440e13a673e239b.pdf"], "doi": []}, {"id": "32d15024dbac059d6ba5ef8dc4cacebeba5df68f", "title": "On Hair Recognition in the Wild by Machine", "year": "2014", "pdf": ["http://cse.msu.edu/~liuxm/publication/Roth_Liu_AAAI2014.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2014AAAI_Roth_Liu.pdf", "https://pdfs.semanticscholar.org/8eb7/d148107a6cca99b788d70b5134583d28e9c4.pdf"], "doi": ["http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8598", "http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/download/8598/8636"]}, {"id": "e6ca412a05002b51d358c2e3061913c3dab6b810", "title": "MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10580.pdf"], "doi": []}, {"id": "f49b4ab188dd090367d9f6762473879b2bba16cf", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578512"]}, {"id": "5b3f345f1e3ff54e088b8d7ca2f831fd34dcb80a", "title": "Face Painting: querying art with photos", "year": "2015", "pdf": ["http://www.bmva.org/bmvc/2015/papers/paper065/abstract065.pdf", "http://www.bmva.org/bmvc/2015/papers/paper065/paper065.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Crowley15/crowley15.pdf", "https://www.research.ed.ac.uk/portal/files/28430753/crowley15.pdf"], "doi": ["https://doi.org/10.5244/C.29.65"]}, {"id": "404776aa18031828f3d5dbceed39907f038a47fe", "title": "Sparsely encoded local descriptor for face verification", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/homepage/rpwang/publications/Sparsely%20Encoded%20Local%20Descriptor%20for%20Face%20Verification_NECO2015.pdf", "https://pdfs.semanticscholar.org/4047/76aa18031828f3d5dbceed39907f038a47fe.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2014.06.044"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "d8c62e812a03f7cefe1e5300232e2a031e3dadfb", "title": "FACE IMAGE RECOGNITION BASED ON PARTIAL FACE MATCHING USING GENETIC ALGORITHM", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d8c6/2e812a03f7cefe1e5300232e2a031e3dadfb.pdf"], "doi": []}, {"id": "fe108803ee97badfa2a4abb80f27fa86afd9aad9", "title": "Kernel discriminant transformation for image set-based face recognition", "year": "2011", "pdf": ["http://www.csie.kuas.edu.tw/~jcchen/pdf/Kernel%20discriminant%20transformation%20for%20image%20set-based%20face%20recognition.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2011.02.011"]}, {"id": "7397fc452aac26712099170431a02fd531f97cf0", "title": "An MKD-SRC Approach for Face Recognition from Partial Image", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7397/fc452aac26712099170431a02fd531f97cf0.pdf"], "doi": []}, {"id": "e476cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf", "title": "Robust Kernel Representation With Statistical Local Features for Face Recognition", "year": "2013", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/RKR-TNN.pdf", "https://pdfs.semanticscholar.org/e476/cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6471239", "http://doi.org/10.1109/TNNLS.2013.2245340", "https://www.ncbi.nlm.nih.gov/pubmed/24808472", "https://www.wikidata.org/entity/Q46195115"]}, {"id": "5322b4232b234d0b1b06463fcbc0d1e20396de4e", "title": "Runtime Network Routing for Efficient Image Classification.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30371355", "https://doi.org/10.1109/TPAMI.2018.2878258"]}, {"id": "3a9681e2e07be7b40b59c32a49a6ff4c40c962a2", "title": "Comparing treatment means : overlapping standard errors , overlapping confidence intervals , and tests of hypothesis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1c95/1714996c573b00e63878acdc48cdc4ddc183.pdf"], "doi": []}, {"id": "6cddc7e24c0581c50adef92d01bb3c73d8b80b41", "title": "Face Verification Using the LARK Representation", "year": "2011", "pdf": ["https://users.soe.ucsc.edu/~milanfar/publications/journal/TIFS_Final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5872024", "http://doi.org/10.1109/TIFS.2011.2159205"]}, {"id": "b6967d6096294bbac242b6f27e1fee51da24eb11", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578645"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "b1961dca4d37aa72a0713fd2164d70126ffc0587", "title": "Non-uniform patch based face recognition via 2D-DWT", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.imavis.2014.12.005", "http://cam.tju.edu.cn/research/downAchiev.php?id=29"]}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "9d757c0fede931b1c6ac344f67767533043cba14", "title": "Search Based Face Annotation Using PCA and Unsupervised Label Refinement Algorithms", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9d75/7c0fede931b1c6ac344f67767533043cba14.pdf"], "doi": []}, {"id": "e1f790bbedcba3134277f545e56946bc6ffce48d", "title": "Image Retrieval Using Attribute Enhanced Sparse Code Words", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e1f7/90bbedcba3134277f545e56946bc6ffce48d.pdf"], "doi": []}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/talk_final.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Fouhey16/fouhey16.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/talk_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780537", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.168", "http://doi.org/10.1109/CVPR.2016.168"]}, {"id": "68f61154a0080c4aae9322110c8827978f01ac2e", "title": "Recognizing blurred , non-frontal , illumination and expression variant partially occluded faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68f6/1154a0080c4aae9322110c8827978f01ac2e.pdf"], "doi": []}, {"id": "2c56e17a37c3584d128e7baf3cbea595a150f74f", "title": "Improving Face Recognition Systems Using a New Image Enhancement Technique, Hybrid Features and the Convolutional Neural Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8550634"]}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "326ccae22d5d28812adef8c88dcfb1cddc2bb4e3", "title": "A Bezier Curve Cohort Selection Strategy for Face Pair Matching", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3193044"]}, {"id": "ac0d88ca5f75a4a80da90365c28fa26f1a26d4c4", "title": "MOT16: A Benchmark for Multi-Object Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00831.pdf"], "doi": []}, {"id": "cd3b713722ccb1e2ae3b050837ca296b2a2dd82a", "title": "Kernel dictionary learning based discriminant analysis", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2016.07.015"]}, {"id": "3dda181be266950ba1280b61eb63ac11777029f9", "title": "When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09757.pdf"], "doi": []}, {"id": "78fdf2b98cf6380623b0e20b0005a452e736181e", "title": "Dense Wide-Baseline Stereo with Varying Illumination and its Application to Face Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/78fd/f2b98cf6380623b0e20b0005a452e736181e.pdf"], "doi": []}, {"id": "d452eaa8decb8c7a83bc716beaf8e9e74a3c2218", "title": "K-Means Clustering For Detection of Human Faces in Databases", "year": "2009", "pdf": [], "doi": []}, {"id": "e83b017eaedfbf19d598799d8a1884c57c634782", "title": "GenLR-Net: Deep Framework for Very Low Resolution Face and Object Recognition with Generalization to Unseen Categories", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575553"]}, {"id": "3c086601ce0bac61047b5b931b253bd4035e1e7a", "title": "Occlusion handling in feature point tracking using ranked parts based models", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350897", "http://doi.org/10.1109/ICIP.2015.7350897"]}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "47e8db3d9adb79a87c8c02b88f432f911eb45dc5", "title": "MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05715.pdf"], "doi": []}, {"id": "2ef1b1b5ed732634e005df779fd9b21da0ffe60c", "title": "Pair of projections based on sparse consistence with applications to efficient face recognition", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.image.2017.03.012"]}, {"id": "a92c207031b0778572bf41803dba1a21076e128b", "title": "Unobtrusive Students' Engagement Analysis in Computer Science Laboratory Using Deep Learning Techniques", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8433557", "http://doi.ieeecomputersociety.org/10.1109/ICALT.2018.00110", "http://doi.org/10.1109/ICALT.2018.00110"]}, {"id": "224d0eee53c2aa5d426d2c9b7fa5d843a47cf1db", "title": "Probabilistic Elastic Matching for Pose Variant Face Verification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d499.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Probabilistic_Elastic_Matching_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/CVPR13-PEM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619293", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.449", "http://doi.org/10.1109/CVPR.2013.449"]}, {"id": "b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1", "title": "Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09518.pdf"], "doi": []}, {"id": "82417d8ec8ac6406f2d55774a35af2a1b3f4b66e", "title": "Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8241/7d8ec8ac6406f2d55774a35af2a1b3f4b66e.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "7bdcd85efd1e3ce14b7934ff642b76f017419751", "title": "Learning Discriminant Face Descriptor", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/Lei-DFD-PAMI-14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6531609", "http://doi.org/10.1109/TPAMI.2013.112", "https://www.ncbi.nlm.nih.gov/pubmed/24356350", "https://www.wikidata.org/entity/Q50701663"]}, {"id": "8134b052a9aedd573dd16649a611f68b48e30cb2", "title": "InverseFaceNet: Deep Monocular Inverse Face Rendering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.10956.pdf"], "doi": []}, {"id": "289cfcd081c4393c7d6f63510747b5372202f855", "title": "Detecting Decision Ambiguity from Facial Images", "year": "2018", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373873", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00080", "http://doi.org/10.1109/FG.2018.00080"]}, {"id": "5506a1a1e1255353fde05d9188cb2adc20553af5", "title": "Dictionary Integration Using 3D Morphable Face Models for Pose-Invariant Collaborative-Representation-Based Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.00284.pdf"], "doi": []}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "b49affdff167f5d170da18de3efa6fd6a50262a2", "title": "Linking Names and Faces : Seeing the Problem in Different Ways", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/b49a/ffdff167f5d170da18de3efa6fd6a50262a2.pdf"], "doi": []}, {"id": "b46d49cb7aade5ab7be51bd7a0ce3aa6f7c6b9ed", "title": "Recognizing Gender from Human Facial Regions using Genetic Algorithm", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01661.pdf"], "doi": []}, {"id": "9a3f3a8e48fb9549b5292e4c4c474f5f1d810d64", "title": "Quasi Cosine Similarity Metric Learning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9a3f/3a8e48fb9549b5292e4c4c474f5f1d810d64.pdf"], "doi": []}, {"id": "632fb05acb6f5de2506a7cbb8d47a181314bc23c", "title": "Face detection in color images using fusion of the chrominance and luminance channel decisions", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5509043"]}, {"id": "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "title": "Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02412.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "8cd9475a3a1b2bcccf2034ce8f4fe691c57a4889", "title": "Noisy Face Image Sets Refining Collaborated with Discriminant Feature Space Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961789", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.138", "http://doi.org/10.1109/FG.2017.138"]}, {"id": "a4a0b5f08198f6d7ea2d1e81bd97fea21afe3fc3", "title": "cient Recurrent Residual Networks Improved by Feature Transfer MSc Thesis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a4a0/b5f08198f6d7ea2d1e81bd97fea21afe3fc3.pdf"], "doi": []}, {"id": "cf254aaecb3b6f0f127a8ed620c11223bd171ccc", "title": "Boosting gender recognition performance with a fuzzy inference system", "year": "2015", "pdf": ["http://www.lifl.fr/~martinej/papers/2015/danisman15boosting.pdf"], "doi": ["http://doi.org/10.1016/j.eswa.2014.11.023", "https://hal.archives-ouvertes.fr/hal-01111681/document"]}, {"id": "0a2d2b79ba39e2140c93543b8ce873f106c08e3d", "title": "Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.03279.pdf"], "doi": []}, {"id": "1fbde67e87890e5d45864e66edb86136fbdbe20e", "title": "The Action Similarity Labeling Challenge", "year": "2012", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=29AAC1FEE14BE24B8F85A75F41F8A9CE?doi=10.1.1.400.8877&rep=rep1&type=pdf", "http://www.cs.tau.ac.il/~wolf/papers/aslan.pdf", "http://www.openu.ac.il/home/hassner/data/ASLAN/Papers/ASLAN_TPAMI12.pdf", "http://www.wisdom.weizmann.ac.il/mathusers/kliper/Papers/ASLAN_TPAMI12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6042884", "http://doi.org/10.1109/TPAMI.2011.209", "https://www.ncbi.nlm.nih.gov/pubmed/22262724", "https://www.wikidata.org/entity/Q44165124"]}, {"id": "266766818dbc5a4ca1161ae2bc14c9e269ddc490", "title": "Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2667/66818dbc5a4ca1161ae2bc14c9e269ddc490.pdf"], "doi": []}, {"id": "1ce29d6b820ed4a24da27b76ffd9605d5b3b10b5", "title": "Unrestricted pose-invariant face recognition by sparse dictionary matrix", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.007"]}, {"id": "34546ef7e6148d9a1fb42cfab5f0ce11c92c760a", "title": "Robust domain adaptation image classification via sparse and low rank representation", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2015.09.005"]}, {"id": "13907865a97afde053d7bb7134d58a7bbc12043c", "title": "Fisher discrimination based low rank matrix recovery for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2014.05.001"]}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "8b1db0894a23c4d6535b5adf28692f795559be90", "title": "How Reliable are Your Visual Attributes ?", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8b1d/b0894a23c4d6535b5adf28692f795559be90.pdf"], "doi": []}, {"id": "90fb58eeb32f15f795030c112f5a9b1655ba3624", "title": "OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS ISSN 2320-7345 FACE AND IRIS RECOGNITION IN A VIDEO SEQUENCE USING DBPNN AND ADAPTIVE HAMMING DISTANCE", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/90fb/58eeb32f15f795030c112f5a9b1655ba3624.pdf"], "doi": []}, {"id": "ec40df721a80c62d4a768fe29b58d86b1a07f435", "title": "Local robust sparse representation for face recognition with single sample per person", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051298"]}, {"id": "f8d434471c2850c5f1d0757d42142b655fb46ddb", "title": "A New Distance Measure for Non-Identical Data with Application to Image Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.09766.pdf"], "doi": []}, {"id": "3e687d5ace90c407186602de1a7727167461194a", "title": "Photo Tagging by Collection-Aware People Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3e68/7d5ace90c407186602de1a7727167461194a.pdf"], "doi": []}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "da8d0855e7760e86fbec47a3cfcf5acd8c700ca8", "title": "F 2 ConText : How to Extract Holistic Contexts of Persons of Interest for Enhancing Exploratory Analysis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/da8d/0855e7760e86fbec47a3cfcf5acd8c700ca8.pdf"], "doi": []}, {"id": "e83753a708e3bc8072851fe97aa6929515c518ec", "title": "Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546745"]}, {"id": "307a810d1bf6f747b1bd697a8a642afbd649613d", "title": "An affordable contactless security system access for restricted area", "year": "2016", "pdf": [], "doi": []}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301352", "http://doi.org/10.1109/CVPRW.2015.7301352"]}, {"id": "c84991fe3bf0635e326a05e34b11ccaf74d233dc", "title": "A parameter-free label propagation algorithm for person identification in stereo videos", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.069"]}, {"id": "ec286f61f2c530b5628596c0e82ae5b07e7396c2", "title": "A Computational Study of American Sign Language Nonmanuals", "year": "2015", "pdf": [], "doi": []}, {"id": "db68105a787d7ef60ebb5bb4cfce151d47748123", "title": "Improved RGB-D-T based face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/db68/105a787d7ef60ebb5bb4cfce151d47748123.pdf"], "doi": []}, {"id": "4686bdcee01520ed6a769943f112b2471e436208", "title": "Fast search based on generalized similarity measure", "year": "2017", "pdf": ["http://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0024-5?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0024-5", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986831"]}, {"id": "c444c4dab97dd6d6696f56c1cacda051dde60448", "title": "Multiview Face Detection and Registration Requiring Minimal Manual Intervention", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6461885", "http://doi.org/10.1109/TPAMI.2013.37", "https://www.ncbi.nlm.nih.gov/pubmed/23969391", "https://www.wikidata.org/entity/Q51170597"]}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "title": "Compare and Contrast : Learning Prominent Differences in Relative Attributes by", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a6b/ba2e81d5fb3c0fd0e6b757cf50ba7bf8e924.pdf"], "doi": []}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"], "doi": []}, {"id": "9806d3dc7805dd8c9c20d7222c915fc4beee7099", "title": "Self-Stimulatory Behaviours in the Wild for Autism Diagnosis", "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Rajagopalan_Dhall_Goecke_ICCV2013_DSCSI_Self-StimulatoryBehavioursInTheWildForAutismDiagnosis.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W22/papers/Rajagopalan_Self-Stimulatory_Behaviours_in_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755972"]}, {"id": "c610101667a93d0beed6376dc8e53cdbab6f3674", "title": "Improving Deep Representation Learning with Complex and Multimodal Data.", "year": "2015", "pdf": [], "doi": []}, {"id": "b108c2a80744fc1463f9cf30ecfff79cd5d370e5", "title": "Principal Local Binary Patterns for Face Representation and Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977492"]}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "056d1637fac0510146431a03d81de1cbf1147d65", "title": "UHDB11 Database for 3D-2D Face Recognition", "year": "2013", "pdf": ["http://cbl.uh.edu/pub_files/uhdb11-database-for-3d-2d-face-recognition.pdf", "http://web.mit.edu/gevang/www/papers/TodericiEvangelopoulos_UHDB11_PSIVT13/TodericiEvangelopoulos_UHDB11_PSIVT13.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-53842-1_7"]}, {"id": "7c2a6b27dd756fe851954e0c040bc87bbd39f098", "title": "Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w39/Xu_Using_Psychophysical_Methods_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575433", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00266", "http://doi.org/10.1109/CVPRW.2018.00266"]}, {"id": "33548dec33abfc66bba40ac3f9651c0605d6b537", "title": "CMML : a New Metric Learning Approach for Cross Modal Matching", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3354/8dec33abfc66bba40ac3f9651c0605d6b537.pdf"], "doi": []}, {"id": "6976326c1b8706cd93620560e46dd7d3d7c15d26", "title": "Full ranking as local descriptor for visual recognition: A comparison of distance metrics on sn", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2014.10.010", "https://www.wikidata.org/entity/Q56814213"]}, {"id": "6b6493551017819a3d1f12bbf922a8a8c8cc2a03", "title": "Pose Normalization for Local Appearance-Based Face Recognition", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6b64/93551017819a3d1f12bbf922a8a8c8cc2a03.pdf"], "doi": []}, {"id": "19296e129c70b332a8c0a67af8990f2f4d4f44d1", "title": "Is that you? Metric learning approaches for face identification", "year": "2009", "pdf": ["http://lear.inrialpes.fr/pubs/2009/GVS09/GVS09.pdf", "http://lear.inrialpes.fr/pubs/2009/GVS09/supplmat.pdf", "https://hal.inria.fr/inria-00439290/file/verbeek09iccv2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459197", "http://doi.org/10.1109/ICCV.2009.5459197"]}, {"id": "6f6ce988a13ac08071a0e3349f80b7c8adc7a49d", "title": "A detailed survey on 2D and 3D still face and face video databases part II", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6950080"]}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "66d490c95ac100cedd2a0886a0a5510267e042f7", "title": "With one look: 3D face shape estimation from a single snapshot", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552934", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552934", "http://doi.org/10.1109/ICME.2016.7552934"]}, {"id": "dd3b83ce1b52203afd05b15c660ec6e19580299e", "title": "Head pose estimation using improved label distribution learning with fewer annotations", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-019-7284-2"]}, {"id": "b0b8757e6b327180824f01514cfb81b1e2823550", "title": "Robust Feature Set Matching for Partial Face Recognition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751184"]}, {"id": "0dfd713c72d1f64c74c25c68bbb2616c701a878a", "title": "Local Regularization for Multiclass Classification Facing Significant Intraclass Variations", "year": "2008", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/localreg.pdf"], "doi": ["https://doi.org/10.1007/978-3-540-88693-8_55"]}, {"id": "903cae123665d885aa82b7590db0d323630d8d88", "title": "Distance metric learning for image and webpage comparison. (Apprentissage de distance pour la comparaison d'images et de pages Web)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/903c/ae123665d885aa82b7590db0d323630d8d88.pdf"], "doi": []}, {"id": "c81ee278d27423fd16c1a114dcae486687ee27ff", "title": "Search Based Face Annotation Using Weakly Labeled Facial Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c81e/e278d27423fd16c1a114dcae486687ee27ff.pdf"], "doi": []}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "a34d75da87525d1192bda240b7675349ee85c123", "title": "Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.04690.pdf"], "doi": []}, {"id": "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "title": "Facial Action Units Detection with Multi-Features and -AUs Fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961833", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.110", "http://doi.org/10.1109/FG.2017.110"]}, {"id": "5ec94adc9e0f282597f943ea9f4502a2a34ecfc2", "title": "Leveraging the Power of Gabor Phase for Face Identification: A Block Matching Approach", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04655.pdf"], "doi": []}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "1287bfe73e381cc8042ac0cc27868ae086e1ce3b", "title": "Computational Mid-Level Vision: From Border Ownership to Categorical Object Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1287/bfe73e381cc8042ac0cc27868ae086e1ce3b.pdf"], "doi": []}, {"id": "2d294c58b2afb529b26c49d3c92293431f5f98d0", "title": "Maximum Margin Projection Subspace Learning for Visual Data Analysis", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/mmpp_journal.pdf", "http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2014/Nikitidis_2014_Maximum_TIP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6879493", "http://doi.org/10.1109/TIP.2014.2348868", "https://www.ncbi.nlm.nih.gov/pubmed/25148664", "https://www.wikidata.org/entity/Q30844297"]}, {"id": "f4d25431e4022e60c465b3f93abd0dbb08864453", "title": "Learning Structure and Strength of CNN Filters for Small Sample Size Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579072"]}, {"id": "5028c0decfc8dd623c50b102424b93a8e9f2e390", "title": "REVISITING CLASSIFIER TWO-SAMPLE TESTS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5028/c0decfc8dd623c50b102424b93a8e9f2e390.pdf"], "doi": []}, {"id": "77037a22c9b8169930d74d2ce6f50f1a999c1221", "title": "Robust Face Recognition With Kernelized Locality-Sensitive Group Sparsity Representation", "year": "2017", "pdf": ["https://ueaeprints.uea.ac.uk/64308/1/Accepted_manuscript.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7949052", "http://doi.org/10.1109/TIP.2017.2716180", "https://www.ncbi.nlm.nih.gov/pubmed/28641251", "https://www.wikidata.org/entity/Q38713616"]}, {"id": "2c48683c9663ea82fcbbd5891d892a884f1a32d0", "title": "Explore semantic pixel sets based local patterns with information entropy for face recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2c48/683c9663ea82fcbbd5891d892a884f1a32d0.pdf"], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "89272b78b651038ff4d294b9ccca0018d2c9033b", "title": "Low Computation Face Verification Using Class Center Analysis", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977490", "http://doi.org/10.1109/ICPR.2014.777"]}, {"id": "86915632efd021e1dca42f16df36944d08de2fbe", "title": "Face Recognition with Image Misalignment via Structure Constraint Coding", "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop16/pdffiles/w16-p8.pdf", "http://vipl.ict.ac.cn/homepage/accv14his/pdffiles/w16-p8.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16634-6_41"]}, {"id": "789a781eec0cf28d4294c270bbd72f3a21e41dba", "title": "A New Implementation of Deep Neural Networks for Optical Character Recognition and Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/789a/781eec0cf28d4294c270bbd72f3a21e41dba.pdf"], "doi": []}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"], "doi": []}, {"id": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.pdf"], "doi": []}, {"id": "6b35b15ceba2f26cf949f23347ec95bbbf7bed64", "title": "RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor", "year": "2015", "pdf": ["http://lhncbc.nlm.nih.gov/system/files/pub9220.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.06.010", "https://www.wikidata.org/entity/Q58218947"]}, {"id": "0709bf7179cf2478d0aa5c05633dc86ff3645e31", "title": "An Efficient Face Recognition and Retrieval Using LBP and SIFT", "year": "2013", "pdf": [], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "a937d8d4a25709d1572192fc85c3f12759067ce8", "title": "CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06155.pdf"], "doi": []}, {"id": "2e64682caf77309db573ee439d988233f71e88ad", "title": "Establishing Good Benchmarks and Baselines for Face Recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/2e64/682caf77309db573ee439d988233f71e88ad.pdf"], "doi": []}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "pdf": [], "doi": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "1c46a33da36d47356cd9189a41c55ac9f5d34847", "title": "An Study on Ear Detection and Its Applications to Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1c46/a33da36d47356cd9189a41c55ac9f5d34847.pdf"], "doi": []}, {"id": "524c25217a6f1ed17f47871e947a5581d775fa56", "title": "Fusing global and local features for face verification", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2030875"]}, {"id": "f1d880b7752a5b1c06153a4ff75d31220b0313f7", "title": "Positive and negative label propagation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f1d8/80b7752a5b1c06153a4ff75d31220b0313f7.pdf"], "doi": []}, {"id": "768f6a14a7903099729872e0db231ea814eb05e9", "title": "De-Mark GAN: Removing Dense Watermark with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411205", "http://doi.org/10.1109/ICB2018.2018.00021"]}, {"id": "b1290dff343ae4980e3e853055ad9a5b9116238b", "title": "Gender Classification Based on Fusion of Different Spatial Scale Features Selected by Mutual Information From Histogram of LBP, Intensity, and Shape", "year": "2013", "pdf": ["http://www.cec.uchile.cl/~clperez/papers/Gender%20Classification%20Based%20on%20Fusion%20of%20Different%20Spatial%20Scale%20Features%20Selected%20by%20Mutual%20Information%20From%20Histogram%20of%20LBP,%20Intensity,%20and%20Shape%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6418022", "http://doi.org/10.1109/TIFS.2013.2242063"]}, {"id": "8e33183a0ed7141aa4fa9d87ef3be334727c76c0", "title": "Robustness of Face Recognition to Image Manipulations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8e33/183a0ed7141aa4fa9d87ef3be334727c76c0.pdf"], "doi": []}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903705", "http://doi.org/10.1109/TPAMI.2017.2695183", "https://www.ncbi.nlm.nih.gov/pubmed/28436844", "https://www.wikidata.org/entity/Q47874946"]}, {"id": "6eba25166fe461dc388805cc2452d49f5d1cdadd", "title": "ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6eba/25166fe461dc388805cc2452d49f5d1cdadd.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "108b2581e07c6b7ca235717c749d45a1fa15bb24", "title": "Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose", "year": "2009", "pdf": ["http://www.cs.umd.edu/~carlos/pami09.pdf", "http://www.cs.umd.edu/~djacobs/pubs_files/TPAMI_Proofs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5010439", "http://doi.org/10.1109/TPAMI.2009.123", "https://www.ncbi.nlm.nih.gov/pubmed/19834149", "https://www.wikidata.org/entity/Q44088711"]}, {"id": "de390a143720e697bc71c3727633b155bf25a2c1", "title": "High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/de39/0a143720e697bc71c3727633b155bf25a2c1.pdf"], "doi": []}, {"id": "0c069a870367b54dd06d0da63b1e3a900a257298", "title": "Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs", "year": "2011", "pdf": ["https://arxiv.org/pdf/1107.3823.pdf"], "doi": []}, {"id": "7d0cb85f9f63afc23ce42b92337b12ef91fc091e", "title": "Discriminative transfer learning for single-sample face recognition", "year": "2015", "pdf": ["http://hujunlin.cn/papers/DTL_ICB15.pdf", "https://pdfs.semanticscholar.org/7d0c/b85f9f63afc23ce42b92337b12ef91fc091e.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139095", "http://doi.org/10.1109/ICB.2015.7139095"]}, {"id": "256ef291cd320d39163d3b438010256a3c40c40c", "title": "Multi-feature multi-manifold learning for single-sample face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.06.012"]}, {"id": "3958db5769c927cfc2a9e4d1ee33ecfba86fe054", "title": "Describable Visual Attributes for Face Verification and Image Search", "year": "2011", "pdf": ["http://acberg.com/papers/berg_face_attributes_pami.pdf", "http://acberg.com/papers/faceattrs_pami_submission_1.pdf", "http://neerajkumar.org/publications/base/papers/nk_pami2011_faceattrs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5728825", "http://doi.org/10.1109/TPAMI.2011.48", "https://www.ncbi.nlm.nih.gov/pubmed/21383395", "https://www.wikidata.org/entity/Q34169148"]}, {"id": "59a35b63cf845ebf0ba31c290423e24eb822d245", "title": "The FaceSketchID System: Matching Facial Composites to Mugshots", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TechReport_MSU-CSE-14-6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6912947", "http://doi.org/10.1109/TIFS.2014.2360825"]}, {"id": "dfa53c8a4d66ab6219d6f00219ca7ed3909832fd", "title": "Probabilistic Neural Network with Complex Exponential Activation Functions in Image Recognition using Deep Learning Framework", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02733.pdf"], "doi": []}, {"id": "f1280f76933ba8b7f4a6b8662580504f02bb4ab6", "title": "Gender Classification by Deep Learning on Millions of Weakly Labelled Images", "year": "2016", "pdf": ["https://research-information.bristol.ac.uk/files/90114160/Sen_Jia_Gender_Classification_by_Deep_Learning_on_Millions_of_Weakly_Labelled_Images.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7836703", "http://doi.org/10.1109/ICDMW.2016.0072"]}, {"id": "7079c51423ff61a18692da993ce3113451bf262a", "title": "Face recognition in unconstrained images and videos", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7079/c51423ff61a18692da993ce3113451bf262a.pdf"], "doi": []}, {"id": "9ebf00558968a7ca6e130b61e70bbe2e24706da4", "title": "Ongoing face recognition vendor test (FRVT) part 2:: identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5cfe/f7aedc2651d7754911a7a5cf9ee4edbe876a.pdf"], "doi": []}, {"id": "585efe3c8efd1a4fa2ed8221c278997521668bc1", "title": "Recognizing Face Images with Disguise Variations", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/c10c/ad9353c366e81518fff06350242b7e16f970.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "e908ce44fa94bb7ecf2a8b70cb5ec0b1a00b311a", "title": "Topology preserving graph matching for partial face recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019548", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019548", "http://doi.org/10.1109/ICME.2017.8019548"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "7804949c133d7308d828a94a7944d47c1f0ffe67", "title": "Detection of Deep Network Generated Images Using Disparities in Color Components", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07276.pdf"], "doi": []}, {"id": "20a3ce81e7ddc1a121f4b13e439c4cbfb01adfba", "title": "Sparse-MVRVMs Tree for Fast and Accurate Head Pose Estimation in the Wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e805/bc872e18277c7cbfce82206cf1667cce22cc.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "5dc056fe911a3e34a932513abe637076250d96da", "title": "Real-time facial feature detection using conditional regression forests", "year": "2012", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_facialfeatures_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247976", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247976", "http://doi.org/10.1109/CVPR.2012.6247976"]}, {"id": "3e18b439a6fff09a0e4c245eb1298531cc766a72", "title": "Semi-automatic Face Image Finding Method , Which Uses the 3 D Model of the Head for Recognising an Unknown Face", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e18/b439a6fff09a0e4c245eb1298531cc766a72.pdf"], "doi": []}, {"id": "3b2697d76f035304bfeb57f6a682224c87645065", "title": "ImageNet Large Scale Visual Recognition Challenge", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.0575.pdf"], "doi": []}, {"id": "b40290a694075868e0daef77303f2c4ca1c43269", "title": "Combining Local and Global Information for Hair Shape Modeling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b402/90a694075868e0daef77303f2c4ca1c43269.pdf"], "doi": []}, {"id": "fdaf65b314faee97220162980e76dbc8f32db9d6", "title": "Face recognition using both visible light image and near-infrared image and a deep network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fdaf/65b314faee97220162980e76dbc8f32db9d6.pdf"], "doi": []}, {"id": "55a158f4e7c38fe281d06ae45eb456e05516af50", "title": "Simile Classifiers for Face Classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/55a1/58f4e7c38fe281d06ae45eb456e05516af50.pdf"], "doi": []}, {"id": "6e3a181bf388dd503c83dc324561701b19d37df1", "title": "Finding a low-rank basis in a matrix subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1503.08601.pdf"], "doi": []}, {"id": "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "title": "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02952.pdf"], "doi": []}, {"id": "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579001"]}, {"id": "e4df98e4b45a598661a47a0a8900065716dafd6d", "title": "Weakly Supervised Object Class Learning Via Discriminative Subspace Models", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7396808", "http://doi.ieeecomputersociety.org/10.1109/WI-IAT.2015.219", "http://doi.org/10.1109/WI-IAT.2015.219"]}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "62d1a31b8acd2141d3a994f2d2ec7a3baf0e6dc4", "title": "Noise-resistant network: a deep-learning method for face recognition under noise", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/62d1/a31b8acd2141d3a994f2d2ec7a3baf0e6dc4.pdf"], "doi": []}, {"id": "5e6ba16cddd1797853d8898de52c1f1f44a73279", "title": "Face Identification with Second-Order Pooling", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6818.pdf"], "doi": []}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "c0230b49a8576aa83805bcdf5efcafb38efd8482", "title": "Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29993977", "https://doi.org/10.1109/TPAMI.2018.2824309"]}, {"id": "6a69e245fc5d615a849518d6f6ef320b46545672", "title": "Online learning in biometrics: A case study in face classifier update", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5339071"]}, {"id": "9854145f2f64d52aac23c0301f4bb6657e32e562", "title": "An Improved Face Verification Approach Based on Speedup Robust Features and Pairwise Matching", "year": "2013", "pdf": ["http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/technical/114953_2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6656208", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2013.57", "http://doi.org/10.1109/SIBGRAPI.2013.57"]}, {"id": "d340a135a55ecf7506010e153d5f23155dcfa7e8", "title": "MAVI: An Embedded Device to Assist Mobility of Visually Impaired", "year": "2017", "pdf": ["http://www.cse.iitd.ernet.in/~chetan/papers/mavi-vlsid2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7884781", "http://doi.ieeecomputersociety.org/10.1109/VLSID.2017.38", "http://doi.org/10.1109/VLSID.2017.38"]}, {"id": "9d839dfc9b6a274e7c193039dfa7166d3c07040b", "title": "Augmented faces", "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00869.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130218", "http://cgit.nutn.edu.tw:8080/cgit/PaperDL/LZJ_120522184630.PDF", "http://doi.org/10.1109/ICCVW.2011.6130218"]}, {"id": "1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f", "title": "Implementation of Partial Face Recognition using Directional Binary Code", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a6c/3c37c2e62b21ebc0f3533686dde4d0103b3f.pdf"], "doi": []}, {"id": "a38808d5295350132d0e0b3031837310511f1e1d", "title": "Separable Dictionary Learning", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618907"]}, {"id": "021e008282714eaefc0796303f521c9e4f199d7e", "title": "NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354319", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00215", "http://doi.org/10.1109/WACV.2018.00215"]}, {"id": "dd600e7d6e4443ebe87ab864d62e2f4316431293", "title": "Improving facial expression analysis using histograms of Log-Transformed Nonnegative Sparse Representation with a Spatial Pyramid Structure", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553774.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553774", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553774", "http://doi.org/10.1109/FG.2013.6553774"]}, {"id": "66886997988358847615375ba7d6e9eb0f1bb27f", "title": "Prototype-Based Discriminative Feature Learning for Kinship Verification", "year": "2015", "pdf": ["http://www.kinfacew.com/papers/PDFL_TCYB15.pdf", "https://pdfs.semanticscholar.org/6688/6997988358847615375ba7d6e9eb0f1bb27f.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981937", "http://doi.org/10.1109/TCYB.2014.2376934", "https://www.ncbi.nlm.nih.gov/pubmed/25532145", "https://www.wikidata.org/entity/Q50612520"]}, {"id": "dbe255d3d2a5d960daaaba71cb0da292e0af36a7", "title": "Evolutionary Cost-Sensitive Extreme Learning Machine", "year": "2017", "pdf": ["https://arxiv.org/pdf/1505.04373.pdf"], "doi": []}, {"id": "bcc5cbbb540ee66dc8b9a3453b506e895d8395de", "title": "Joint Estimation of Pose and Face Landmark", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8ba/5cddae817c30de79a804eaf16024610c1e4f.pdf"], "doi": []}, {"id": "439ec47725ae4a3660e509d32828599a495559bf", "title": "Facial Expressions Tracking and Recognition : Database Protocols for Systems Validation and Evaluation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/439e/c47725ae4a3660e509d32828599a495559bf.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"id": "191674c64f89c1b5cba19732869aa48c38698c84", "title": "FACE IMAGE RETRIEVAL USING ATTRIBUTE-ENHANCED SPARSE CODEWORDS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1916/74c64f89c1b5cba19732869aa48c38698c84.pdf"], "doi": []}, {"id": "6b8329730b2e13178a577b878631735a1cd58a71", "title": "A Real-Time Big Data Architecture for Glasses Detection Using Computer Vision Techniques", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7300872", "http://doi.ieeecomputersociety.org/10.1109/FiCloud.2015.78", "http://doi.org/10.1109/FiCloud.2015.78"]}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "e3a3a6c1f4802ea1cd0c34d0b34e4c83689895ac", "title": "An Effective Unconstrained Correlation Filter and Its Kernelization for Face Recognition", "year": "2013", "pdf": ["https://arxiv.org/pdf/1603.07800.pdf"], "doi": []}, {"id": "48d67280368d7efdc3893d286290a85a00070918", "title": "A comparison of PCA , KPCA and ICA for dimentionality reduction", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/48d6/7280368d7efdc3893d286290a85a00070918.pdf"], "doi": []}, {"id": "0ee661a1b6bbfadb5a482ec643573de53a9adf5e", "title": "On the Use of Discriminative Cohort Score Normalization for Unconstrained Face Recognition", "year": "2014", "pdf": ["http://epubs.surrey.ac.uk/812523/1/yunlian_TIFS2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918523", "http://doi.org/10.1109/TIFS.2014.2362007"]}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "2f13dd8c82f8efb25057de1517746373e05b04c4", "title": "Evaluation of state-of-the-art algorithms for remote face recognition", "year": "2010", "pdf": ["http://www.cfar.umd.edu/~rama/Publications/Ni_ICIP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5652608", "http://doi.org/10.1109/ICIP.2010.5652608"]}, {"id": "c1178a5e02338270c18d3a80e40e3d03c165586b", "title": "Grassmann Learning for Recognition and Classification", "year": "2014", "pdf": [], "doi": []}, {"id": "87e5b4d95f95a0975e855cf5ad402db7a3c64ff5", "title": "Local Novelty Detection in Multi-class Recognition Problems", "year": "2015", "pdf": ["http://hera.inf-cv.uni-jena.de:6680/pdf/Bodesheim15:LND", "http://www.researchgate.net/profile/Paul_Bodesheim/publication/269314560_Local_Novelty_Detection_in_Multi-class_Recognition_Problems/links/5486c2420cf289302e2c35eb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045967", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.113", "http://doi.org/10.1109/WACV.2015.113"]}, {"id": "4d0ef449de476631a8d107c8ec225628a67c87f9", "title": "Face system evaluation toolkit: Recognition is harder than it seems", "year": "2010", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2010b_photohead.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634517", "http://doi.org/10.1109/BTAS.2010.5634517"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "c8db8764f9d8f5d44e739bbcb663fbfc0a40fb3d", "title": "Modeling for part-based visual object detection based on local features", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c8db/8764f9d8f5d44e739bbcb663fbfc0a40fb3d.pdf"], "doi": []}, {"id": "39b4b48aeb1deca67390718735511f2fb5d71c5e", "title": "Stereo Matching for Unconstrained Face Recognition Ph.D. Proposal", "year": "2009", "pdf": [], "doi": []}, {"id": "cc4dead2a6dde99c477bd52000bfcfe9589e7425", "title": "Design and analysis of a new illumination invariant human face recognition system", "year": "2012", "pdf": [], "doi": []}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "1d3733e1a4b9d3e5b95fb7cc135a0819cba90c22", "title": "Linear subspace methods in face recognition", "year": "2011", "pdf": ["http://eprints.nottingham.ac.uk/12330/1/thesis_final.pdf"], "doi": ["http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548966"]}, {"id": "ac12a36330248eaddadd3e6e75b909e023c7674a", "title": "Towards generic image classification using tree-based learning: An extensive empirical study", "year": "2016", "pdf": ["https://orbi.uliege.be/bitstream/2268/191267/1/maree-prletters2016_accepted.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2016.01.006"]}, {"id": "988d1295ec32ce41d06e7cf928f14a3ee079a11e", "title": "Semantic Deep Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/988d/1295ec32ce41d06e7cf928f14a3ee079a11e.pdf"], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "57b8e6db0002660f03c4d93174a05a6d525fa755", "title": "Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575381"]}, {"id": "1e2d9ea6fe9c50a5c26a629b94446250e1be4e7d", "title": "The Freiburg Groceries Dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05799.pdf"], "doi": []}, {"id": "424259e9e917c037208125ccc1a02f8276afb667", "title": "Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06433.pdf"], "doi": []}, {"id": "f33bd953d2df0a5305fc8a93a37ff754459a906c", "title": "Deformable Models of Ears in-the-Wild for Alignment and Recognition", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2017earrecognitioninthewild.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961800", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.79", "http://doi.org/10.1109/FG.2017.79"]}, {"id": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "7a2f315c4ac99091724aa7d3f22f0128a35228dc", "title": "Speeding up and augmenting mobile device applications using actors and cloud computing", "year": "2014", "pdf": [], "doi": []}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "4af89578ac237278be310f7660a408b03f12d603", "title": "Large-scale geo-facial image analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf"], "doi": []}, {"id": "26727dc7347e3338d22e8cf6092e3a3c7568d763", "title": "Discriminative low-rank metric learning for face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163088", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163088", "http://doi.org/10.1109/FG.2015.7163088"]}, {"id": "24977d59a5de4eb597347bef00f0c097a641a8dd", "title": "Random projection-based partial feature extraction for robust face recognition", "year": "2015", "pdf": ["http://matlabproject.ir/forms/files/836464.pdf", "https://pdfs.semanticscholar.org/2497/7d59a5de4eb597347bef00f0c097a641a8dd.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.004"]}, {"id": "4df34e0194faa27078832cb5078a2af6c9d0ea9b", "title": "Saliency Prediction in the Deep Learning Era: An Empirical Investigation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03716.pdf"], "doi": []}, {"id": "9d29ad7576f5ba1622aea3ec3eb14d869015a73f", "title": "An In-depth Examination of Local Binary Descriptors in Unconstrained Face Recognition", "year": "2014", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/icpr2014.pdf", "https://users.aalto.fi/~kannalj1/publications/icpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977478", "http://doi.org/10.1109/ICPR.2014.765"]}, {"id": "3965d61c4f3b72044f43609c808f8760af8781a2", "title": "Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01121.pdf"], "doi": []}, {"id": "b5c30099791a909b87c736bfc269b347544a859c", "title": "Recognizing Surgically Altered Face Images", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b5c3/0099791a909b87c736bfc269b347544a859c.pdf"], "doi": []}, {"id": "5e5e11e143140cc376db466d5b096a54b900c2ba", "title": "Face Recognition in Uncontrolled Environment", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5e5e/11e143140cc376db466d5b096a54b900c2ba.pdf"], "doi": []}, {"id": "244d6cd74b690a5989b19f3eb0e8bbdfc48b11e3", "title": "Shared representation learning for heterogenous face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163093"]}, {"id": "e64b683e32525643a9ddb6b6af8b0472ef5b6a37", "title": "Face Recognition and Retrieval in Video", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/e64b/683e32525643a9ddb6b6af8b0472ef5b6a37.pdf"], "doi": []}, {"id": "21e828071249d25e2edaca0596e27dcd63237346", "title": "Scalable Face Image Retrieval with Identity-Based Quantization and Multireference Reranking", "year": "2010", "pdf": ["http://research.microsoft.com/en-us/um/people/jiansun/papers/cvpr10_facesearch.pdf", "http://research.microsoft.com/pubs/155719/face-pami.pdf", "http://www.jiansun.org/papers/CVPR10_FaceSearch.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2010/06/cvpr2010.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2011/10/face-pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871641", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2011.111", "http://doi.org/10.1109/TPAMI.2011.111", "https://www.ncbi.nlm.nih.gov/pubmed/21646678"]}, {"id": "7aa062c6c90dba866273f5edd413075b90077b51", "title": "Minimizing Separability : A Comparative Analysis of Illumination Compensation Techniques in Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7aa0/62c6c90dba866273f5edd413075b90077b51.pdf"], "doi": []}, {"id": "a03cfd5c0059825c87d51f5dbf12f8a76fe9ff60", "title": "Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning", "year": "2008", "pdf": [], "doi": []}, {"id": "845f45f8412905137bf4e46a0d434f5856cd3aec", "title": "The Spyware Used in Intimate Partner Violence", "year": "2018", "pdf": ["https://rist.tech.cornell.edu/papers/spyware.pdf", "https://www.cs.cornell.edu/~rahul/papers/IPV_Spyware.pdf", "https://www.cs.cornell.edu/~rahul/ppts/IPV_spyware.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418618", "http://doi.ieeecomputersociety.org/10.1109/SP.2018.00061", "http://doi.org/10.1109/SP.2018.00061"]}, {"id": "9649a19b49607459cef32f43db4f6e6727080bdb", "title": "Offset Neural Network for Document Orientation Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395207", "http://doi.ieeecomputersociety.org/10.1109/DAS.2018.12", "http://doi.org/10.1109/DAS.2018.12"]}, {"id": "e1cc833f301c42579392f21335b70d0216b03ab4", "title": "Robust local features for remote face recognition", "year": "2017", "pdf": ["http://www.ee.oulu.fi/~jiechen/paper/IVC2017-Robust%20Local%20Features%20for%20Remote%20Face%20Recognition.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.05.006"]}, {"id": "b6259115b819424de53bb92f64cc459dcb649f31", "title": "Learning Feature Representation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078466", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078466", "http://doi.org/10.1109/AVSS.2017.8078466"]}, {"id": "8166edc1352eeef54f6d861b93673c36d67927e8", "title": "Recognizing People in Motion", "year": "2016", "pdf": ["http://egozi.tau.ac.il/gylab/wp-content/uploads/2016/05/1-s2.0-S1364661316000462-main-3.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S1364661316000462?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.tics.2016.02.005", "https://www.ncbi.nlm.nih.gov/pubmed/27016844"]}, {"id": "9b2c813a94cee031325b3e76e20db7072063549f", "title": "A scalable and flexible framework for smart video surveillance", "year": "2016", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2016/11/paper_2016_CVIU.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.10.014"]}, {"id": "cce261b47bbeec42cf4036e89e2413e25f66ce61", "title": "Gender recognition from facial images : 2 D or 3 D ?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cce2/61b47bbeec42cf4036e89e2413e25f66ce61.pdf"], "doi": []}, {"id": "5f5164cf998a10d2bef37741adb562ab07fac413", "title": "A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs", "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/wuHWWTtpami16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7439821", "http://doi.org/10.1109/TPAMI.2016.2545669", "https://www.ncbi.nlm.nih.gov/pubmed/28113278", "https://www.wikidata.org/entity/Q39005289"]}, {"id": "d3b38fbaee4404e31186d9db98ecac74f48a433a", "title": "Batch image alignment via subspace recovery based on alternative sparsity pursuit", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s41095-017-0080-x"]}, {"id": "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "title": "PCANet: A Simple Deep Learning Baseline for Image Classification?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1404.3606.pdf"], "doi": []}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "c697590ddd71232174072c9680adbc7a0b30c84c", "title": "Face retrieval using frequency decoded local descriptor", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.06508.pdf"], "doi": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "5ce80b41443518a14d800f6b93b4057bbb007432", "title": "Benchmarking Intelligence Processors", "year": "2017", "pdf": [], "doi": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.07.007", "https://doi.org/10.1016/j.cviu.2015.07.007"]}, {"id": "634541661d976c4b82d590ef6d1f3457d2857b19", "title": "Advanced Techniques for Face Recognition under Challenging Environments", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6345/41661d976c4b82d590ef6d1f3457d2857b19.pdf"], "doi": []}, {"id": "656a5d4d84c450792402b3c69eecbdbca4cad4cb", "title": "2.1. Imagenet and Related Datasets", "year": "", "pdf": ["https://pdfs.semanticscholar.org/656a/5d4d84c450792402b3c69eecbdbca4cad4cb.pdf"], "doi": []}, {"id": "97eabf253570f1fda79a0e217a7bbdb5aec871da", "title": "Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10895.pdf"], "doi": []}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "e0eb1d66f244456063409264ed795d9893565011", "title": "Inhibited Softmax for Uncertainty Estimation in Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.01861.pdf"], "doi": []}, {"id": "9b000ccc04a2605f6aab867097ebf7001a52b459", "title": "PCANet: An energy perspective", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.00944.pdf"], "doi": []}, {"id": "155205b8e288fd49bf203135871d66de879c8c04", "title": "Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02640.pdf"], "doi": []}, {"id": "cd66a1d08db3d56c91156797659b96dce8aa015f", "title": "Adaptive Locality Preserving Regression", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.00563.pdf"], "doi": []}, {"id": "1a2431e3b35a4a4794dc38ef16e9eec2996114a1", "title": "Automated Face Recognition: Challenges and Solutions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a24/31e3b35a4a4794dc38ef16e9eec2996114a1.pdf"], "doi": []}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "fb228b214e28af26f77cc1195d03c9d851b78ec6", "title": "Facial asymmetry versus facial makeup", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301753"]}, {"id": "532200db4f95055a47e16c2e2095edf063f42d6f", "title": "Implementation of Robust Face Recognition System Using Live Video Feed Based on CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07339.pdf"], "doi": []}, {"id": "8377ac1b2dffb11cf48f456be2531c95d14aa6e5", "title": "Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11674.pdf"], "doi": []}, {"id": "a089812eefb777ac6d17cf886a0bf2b1f89ba505", "title": "DEVELOPMENT OF A COMPUTER SYSTEM FOR IDENTITY AUTHENTICATION USING ARTIFICIAL NEURAL NETWORKS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a089/812eefb777ac6d17cf886a0bf2b1f89ba505.pdf"], "doi": []}, {"id": "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "title": "Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441009", "http://doi.org/10.1109/SACI.2018.8441009", "https://doi.org/10.1109/SACI.2018.8441009"]}, {"id": "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "title": "Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S1060992X17020102"]}, {"id": "e49372992c31412f55579397e615610748b6e6c9", "title": "Online Robust Image Alignment via Subspace Learning from Gradient Orientations", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Online_Robust_Image_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Zheng_Online_Robust_Image_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237457", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.195", "http://doi.org/10.1109/ICCV.2017.195"]}, {"id": "de0eb358b890d92e8f67592c6e23f0e3b2ba3f66", "title": "Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.01587.pdf"], "doi": []}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545308"]}, {"id": "b5d14fee9658877abbbfa760dd9765db0af86ba6", "title": "Swarm intelligence and evolutionary computation approaches for 2 D face recognition : a systematic review", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b5d1/4fee9658877abbbfa760dd9765db0af86ba6.pdf"], "doi": []}, {"id": "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "title": "Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581e/920ddb6ecfc2a313a3aa6fed3d933b917ab0.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "d487142a7b8c84cb47129d91d5837345ccaa88eb", "title": "Face recognition using extended LBP features and multilevel SVM classifier", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8284596"]}, {"id": "ec27b3d1548909d3f55246a388d768cf51e65802", "title": "Face Mask Extraction in Video Sequence", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09207.pdf"], "doi": []}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "5f62cad6d777d1b621af07c4146e615f7ebacc7d", "title": "Analysis of Keystroke Dynamics for the Generation of Synthetic Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8590063"]}, {"id": "f16d6152e23b032f59eb794fac2d272daa859a79", "title": "A Face Recognition System Based on Local Binary Patterns and Support Vector Machine for Home Security Service Robot", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830848"]}, {"id": "04bb3fa0824d255b01e9db4946ead9f856cc0b59", "title": "Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.07972.pdf"], "doi": []}, {"id": "0d5c01814f64f3be401efa4f6495d2677c16a8d8", "title": "Building an intelligent video and image analysis evaluation platform for public security", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078472", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078472", "http://doi.org/10.1109/AVSS.2017.8078472"]}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "05db8e3a342f8f239203c24d496e809a65ca7f73", "title": "Learning Diverse Image Colorization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01958.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "a40f8881a36bc01f3ae356b3e57eac84e989eef0", "title": "End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03305.pdf"], "doi": []}, {"id": "c1f05b723e53ac4eb1133249b445c0011d42ca79", "title": "Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1162/neco_a_00990", "https://www.wikidata.org/entity/Q38733939"]}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "13831e47759e11f8cc6c77fa64ad34272b409b34", "title": "Compressing deep neural networks for efficient visual inference", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019465", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019465", "http://doi.org/10.1109/ICME.2017.8019465"]}, {"id": "5a1255d65e8309131638b3eb94aad5c52ab3629a", "title": "Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5a12/55d65e8309131638b3eb94aad5c52ab3629a.pdf"], "doi": []}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "0ee737085af468f264f57f052ea9b9b1f58d7222", "title": "SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08370.pdf"], "doi": []}, {"id": "fab60b3db164327be8588bce6ce5e45d5b882db6", "title": "Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fab6/0b3db164327be8588bce6ce5e45d5b882db6.pdf"], "doi": []}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.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": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "5e3eacfae3009616456e7c038597eaa50ad049ca", "title": "Computer face-matching technology using two-dimensional photographs accurately matches the facial gestalt of unrelated individuals with the same syndromic form of intellectual disability", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea3/e84ab58ef37dc506ca4ef8b25edb4b170efd.pdf"], "doi": []}, {"id": "9b1c218a55ead45296bfd7ad315aaeff1ae9983e", "title": "Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274747", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2481396", "http://doi.org/10.1109/TPAMI.2015.2481396", "https://www.ncbi.nlm.nih.gov/pubmed/26415152"]}, {"id": "bcc172a1051be261afacdd5313619881cbe0f676", "title": "A fast face clustering method for indexing applications on mobile phones", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002197.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952546", "http://doi.org/10.1109/ICASSP.2017.7952546"]}, {"id": "02601d184d79742c7cd0c0ed80e846d95def052e", "title": "Graphical Representation for Heterogeneous Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1503.00488.pdf"], "doi": []}, {"id": "0e5dad0fe99aed6978c6c6c95dc49c6dca601e6a", "title": "LATCH: Learned arrangements of three patch codes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1501.03719.pdf"], "doi": []}, {"id": "46c3b9386d63b483dc113592f587b74168d30eea", "title": "Manifesto from Dagstuhl Perspectives Workshop 12382 Computation and Palaeography : Potentials and Limits \u2217", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/46c3/b9386d63b483dc113592f587b74168d30eea.pdf"], "doi": []}, {"id": "b747fcad32484dfbe29530a15776d0df5688a7db", "title": "Background suppressing Gabor energy filtering", "year": "2015", "pdf": ["http://www.cs.csub.edu/~acruz/papers/10.1016-j.patrec.2014.10.001.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.10.001"]}, {"id": "205b34b6035aa7b23d89f1aed2850b1d3780de35", "title": "Log-domain polynomial filters for illumination-robust face recognition", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p504-jiang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6853647", "http://doi.org/10.1109/ICASSP.2014.6853647"]}, {"id": "5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0", "title": "Reference Face Graph for Face Recognition", "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/ReferenceFaceGraphforFaceRecognition14.pdf", "http://www.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://www.ee.ucr.edu/~lan/papers/AnTIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905824", "http://doi.org/10.1109/TIFS.2014.2359548"]}, {"id": "5d2a9519b5d421a58dbb02b0b836f04ab396525d", "title": "Uncorrelated regularized local Fisher discriminant analysis for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.23.4.043017"]}, {"id": "7918698ffa86cdd6123bc2f1f613be1ab38c0d2f", "title": "Learning to Recognize Faces in Realistic Conditions", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7918/698ffa86cdd6123bc2f1f613be1ab38c0d2f.pdf"], "doi": []}, {"id": "d78077a7aa8a302d4a6a09fb9737ab489ae169a6", "title": "Robust Face Recognition with Structural Binary Gradient Patterns", "year": "2017", "pdf": ["https://arxiv.org/pdf/1506.00481.pdf"], "doi": []}, {"id": "83d50257eb4c0aa8d16d27bf2ee8d0614fd63bf6", "title": "A multi-perspective holistic approach to Kinship Verification in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284834", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284834", "http://doi.org/10.1109/FG.2015.7284834"]}, {"id": "28b5b5f20ad584e560cd9fb4d81b0a22279b2e7b", "title": "A New Fuzzy Stacked Generalization Technique and Analysis of its Performance", "year": "2012", "pdf": ["https://arxiv.org/pdf/1204.0171.pdf"], "doi": []}, {"id": "a14ae81609d09fed217aa12a4df9466553db4859", "title": "Face Identification Using Large Feature Sets", "year": "2012", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2011_TIP.pdf", "http://www.umiacs.umd.edu/~jhchoi/paper/tip12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6086621", "http://doi.org/10.1109/TIP.2011.2176951", "https://www.ncbi.nlm.nih.gov/pubmed/22128005", "https://www.wikidata.org/entity/Q34086406"]}, {"id": "430c4d7ad76e51d83bbd7ec9d3f856043f054915", "title": "Two decades of local binary patterns: A survey", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06795.pdf"], "doi": []}, {"id": "a8117a4733cce9148c35fb6888962f665ae65b1e", "title": "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00438.pdf"], "doi": []}, {"id": "a324d61c79fe2e240e080f0dab358aa72dd002b3", "title": "Adaptive noise dictionary construction via IRRPCA for face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.02.005"]}, {"id": "a8e75978a5335fd3deb04572bb6ca43dbfad4738", "title": "Sparse graphical representation based discriminant analysis for heterogeneous face recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1607.00137.pdf"], "doi": []}, {"id": "0fc4d0c328036cc197a48f278f7c15cb12860f3a", "title": "Learning a non-linear combination of Mahalanobis distances using statistical inference for similarity measure", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0011"]}, {"id": "942b89d8d17e89e58c82453de2bfcbbeb09adc81", "title": "Semi-supervised linear discriminant analysis for dimension reduction and classification", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.02.019"]}, {"id": "81831ed8e5b304e9d28d2d8524d952b12b4cbf55", "title": "Discriminative histograms of local dominant orientation (D-HLDO) for biometric image feature extraction", "year": "2013", "pdf": ["http://www.ai.rug.nl/~sheng/subsection/hldo.pdf", "https://pdfs.semanticscholar.org/8183/1ed8e5b304e9d28d2d8524d952b12b4cbf55.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.03.005"]}, {"id": "1a9337d70a87d0e30966ecd1d7a9b0bbc7be161f", "title": "A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Tapabrata_Chakraborti/publication/262340257_A_novel_binary_adaptive_weight_GSA_based_feature_selection_for_face_recognition_using_local_gradient_patterns_modified_census_transform_and_local_binary_patterns/links/54bf8c600cf2f6bf4e04fab5.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2014.04.006"]}, {"id": "98a660c15c821ea6d49a61c5061cd88e26c18c65", "title": "Face Databases for 2 D and 3 D Facial Recognition : A Survey", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/98a6/60c15c821ea6d49a61c5061cd88e26c18c65.pdf"], "doi": []}, {"id": "34a41ec648d082270697b9ee264f0baf4ffb5c8d", "title": "Integration of multi-feature fusion and dictionary learning for face recognition", "year": "2013", "pdf": ["http://www.cs.zju.edu.cn/people/wangdh/papers/IVC.pdf?doi=10.1016/j.imavis.2013.10.002&domain=f"], "doi": ["http://doi.org/10.1016/j.imavis.2013.10.002"]}, {"id": "bcd4e549928260d247f3ca67659a65ffcd429e98", "title": "On using Additional Unlabeled Data for Improving Dissimilarity-Based Classifications", "year": "2013", "pdf": [], "doi": []}, {"id": "395a91d49e9283e1bf2d61a75c3dc846b347ea74", "title": "On-Demand Virtual Health Counselor for Delivering Behavior-Change Health Interventions", "year": "2013", "pdf": ["http://cake.fiu.edu/Publications/Reza+al-13-OV.On-demand_Virtual_Health.IEEE.downloaded.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6680460", "http://doi.ieeecomputersociety.org/10.1109/ICHI.2013.13", "http://doi.org/10.1109/ICHI.2013.13"]}, {"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": "fd649233d62bf43d589818fbb41295e2d0669aeb", "title": "An Improved Crack Detection Algorithm Based on Characteristics of Texture Analysis and Gravity Model", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048157"]}, {"id": "4e21fb066ea5eee04f3e2090bb4348344ae980a2", "title": "Face Recognition using Features Combination and a New Non-linear Kernel Essam", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0447/0861408d14cc860f24e73d93b3bb476492d0.pdf"], "doi": []}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830587"]}, {"id": "d8288322f32ee4501cef5a9b667e5bb79ebd7018", "title": "Facing scalability: Naming faces in an online social network", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2011.12.018"]}, {"id": "fec295c6b6a1795d8ccb4592603040794667dfa7", "title": "LDOP: Local Directional Order Pattern for Robust Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07441.pdf"], "doi": []}, {"id": "17cf838720f7892dbe567129dcf3f7a982e0b56e", "title": "Global-Local Face Upsampling Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07235.pdf"], "doi": []}, {"id": "176d9121e4e645344de4706dfb345ad456bfb84a", "title": "Efficient algorithm for sparse coding and dictionary learning with applications to face recognition", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.24.2.023009"]}, {"id": "ae8240095c9cca2c395f173fece2f46277b94929", "title": "Weighted contourlet binary patterns and image-based fisher linear discriminant for face recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.06.045"]}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "61084a25ebe736e8f6d7a6e53b2c20d9723c4608", "title": "Face recognition for web-scale datasets", "year": "2014", "pdf": ["http://briancbecker.com/files/downloads/publications/Ortiz_CVIU13.pdf", "http://crcv-web.eecs.ucf.edu/papers/OrtizBecker_Webscale_CVIU.pdf", "http://crcv.ucf.edu/papers/OrtizBecker_Webscale_CVIU.pdf", "http://www.enriquegortiz.com/publications/OrtizBecker_Webscale_CVIU.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2013.09.004"]}, {"id": "3a2fc58222870d8bed62442c00341e8c0a39ec87", "title": "Probabilistic Local Variation Segmentation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3a2f/c58222870d8bed62442c00341e8c0a39ec87.pdf"], "doi": []}, {"id": "9c0fd1134aa730c876c4020fc4e54f6e7162109a", "title": "Unconstrained face identification with multi-scale block-based correlation", "year": "2016", "pdf": [], "doi": []}, {"id": "75e5ba7621935b57b2be7bf4a10cad66a9c445b9", "title": "Equidistant prototypes embedding for single sample based face recognition with generic learning and incremental learning", "year": "2014", "pdf": ["http://www.pris.net.cn/wp-content/uploads/2010/11/whdeng_pr4.pdf", "https://pdfs.semanticscholar.org/75e5/ba7621935b57b2be7bf4a10cad66a9c445b9.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.06.020"]}, {"id": "1063be2ad265751fb958b396ee26167fa0e844d2", "title": "A Multiresolution Gray-Scale and Rotation Invariant Descriptor for Texture Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369056", "http://doi.org/10.1109/ACCESS.2018.2842078"]}, {"id": "62e0380a86e92709fe2c64e6a71ed94d152c6643", "title": "Facial emotion recognition with expression energy", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2388777"]}, {"id": "0059b3dfc7056f26de1eabaafd1ad542e34c2c2e", "title": "I Can Help You Change! An Empathic Virtual Agent Delivers Behavior Change Health Interventions", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2544103"]}, {"id": "0394e684bd0a94fc2ff09d2baef8059c2652ffb0", "title": "Median Robust Extended Local Binary Pattern for Texture Classification", "year": "2015", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/liuLFGWPtip16.pdf", "http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/TIP2522378.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7393828", "http://doi.org/10.1109/ICIP.2015.7351216", "https://www.ncbi.nlm.nih.gov/pubmed/26829791"]}, {"id": "e0679f8cf0029c04a95d966f562eb0bac3145adf", "title": "Harnessing auxiliary information : New methods to improve person identification", "year": "2015", "pdf": [], "doi": []}]}
\ No newline at end of file +{"id": "2d3482dcff69c7417c7b933f22de606a0e8e42d4", "citations": [{"id": "0db1cd7a4aed9d17256b02946660a2ea902d6635", "title": "Keystroke Biometrics Ongoing Competition", "year": "2016", "pdf": ["http://atvs.ii.uam.es/audias/files/2016_IEEEAccess_KBOC_Aythami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738412", "http://doi.org/10.1109/ACCESS.2016.2626718"]}, {"id": "303828619630ca295f772be0a7b9fe8007dfaea3", "title": "Face verification in the wild using similarity in representations", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324125"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "b216040f110d2549f61e3f5a7261cab128cab361", "title": "Weighted Voting of Discriminative Regions for Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b216/040f110d2549f61e3f5a7261cab128cab361.pdf"], "doi": []}, {"id": "5b01d4338734aefb16ee82c4c59763d3abc008e6", "title": "A Robust Face Recognition Algorithm Based on Kernel Regularized Relevance-Weighted Discriminant Analysis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5b01/d4338734aefb16ee82c4c59763d3abc008e6.pdf"], "doi": []}, {"id": "77d31d2ec25df44781d999d6ff980183093fb3de", "title": "The Multiverse Loss for Robust Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.09033.pdf"], "doi": []}, {"id": "27e97b67a8401def58eb41b4b00d3dfb0e4ad1a8", "title": "Knowledge Based Face Detection Using Fusion Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/27e9/7b67a8401def58eb41b4b00d3dfb0e4ad1a8.pdf"], "doi": []}, {"id": "d6e785d3466eeaaae1f6c792f679d1111ab30302", "title": "People tracking and re-identification by face recognition for RGB-D camera networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8098689", "http://doi.org/10.1109/ECMR.2017.8098689"]}, {"id": "2348f1fa2940b01ec90e023fac8cc96812189774", "title": "Face verification based on convolutional neural network and deep learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8110157", "http://doi.ieeecomputersociety.org/10.1109/EWDTS.2017.8110157", "http://doi.org/10.1109/EWDTS.2017.8110157"]}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "b624d6eaa1d21e2a34e1b9bc34cfe2159ed39449", "title": "Cross Audio-Visual Speaker Identification in the Wild Using Deep Learning", "year": "2017", "pdf": [], "doi": []}, {"id": "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393", "http://doi.org/10.1109/CVPR.2017.393"]}, {"id": "ac5d0705a9ddba29151fd539c668ba2c0d16deb6", "title": "RED-Net: A Recurrent Encoder\u2013Decoder Network for Video-Based Face Alignment", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06066.pdf"], "doi": []}, {"id": "384f972c81c52fe36849600728865ea50a0c4670", "title": "Multi-Fold Gabor, PCA, and ICA Filter Convolution Descriptor for Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1604.07057.pdf"], "doi": []}, {"id": "565f7c767e6b150ebda491e04e6b1de759fda2d4", "title": "Fine-grained face verification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.11.023"]}, {"id": "2d88e7922d9f046ace0234f9f96f570ee848a5b5", "title": "Building Better Detection with Privileged Information", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d88/e7922d9f046ace0234f9f96f570ee848a5b5.pdf"], "doi": []}, {"id": "7ef0cc4f3f7566f96f168123bac1e07053a939b2", "title": "Triangular Similarity Metric Learning: a Siamese Architecture Approach. ( L'apprentissage de similarit\u00e9 triangulaire en utilisant des r\u00e9seaux siamois)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e735/b8212d8a81909753291d5d06789a917014f8.pdf"], "doi": []}, {"id": "65ee4de888e5b934429dcb126ee0ae544156c9bd", "title": "Face recognition using linear representation ensembles", "year": "2016", "pdf": ["http://bmc.uestc.edu.cn/~fshen/PR2016_hanxi.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.12.011"]}, {"id": "df51dfe55912d30fc2f792561e9e0c2b43179089", "title": "Face Hallucination Using Linear Models of Coupled Sparse Support", "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.06009.pdf"], "doi": []}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.7964.pdf"], "doi": []}, {"id": "b26d23501f8e9f89ce822057a6c645bc9a634b2c", "title": "Multi Seed Authentication Using S/Key Scheme", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7336335", "http://doi.org/10.1109/HPCC-CSS-ICESS.2015.104"]}, {"id": "3393459600368be2c4c9878a3f65a57dcc0c2cfa", "title": "Eigen-PEP for Video Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3393/459600368be2c4c9878a3f65a57dcc0c2cfa.pdf"], "doi": []}, {"id": "10ab1b48b2a55ec9e2920a5397febd84906a7769", "title": "Demo: I-Pic: A Platform for Privacy-Compliant Image Capture", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2938589"]}, {"id": "ff3a89da1140c7d75586527002f9fd28cbfb04b6", "title": "Strengths and weaknesses of deep learning models for face recognition against image degradations", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2017.0083"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "214ac8196d8061981bef271b37a279526aab5024", "title": "Face Recognition Using Smoothed High-Dimensional Representation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/214a/c8196d8061981bef271b37a279526aab5024.pdf"], "doi": []}, {"id": "07d3dddb363870cfd980ca8d748c8b1418aad863", "title": "Learning from Differentially Private Neural Activations with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567659", "http://doi.ieeecomputersociety.org/10.1109/SEC.2018.00014", "http://doi.org/10.1109/SEC.2018.00014"]}, {"id": "d9208c964bed4cc0055e313353c73fd00a60c412", "title": "Multi-class Fukunaga Koontz discriminant analysis for enhanced face recognition", "year": "2016", "pdf": ["https://users.ece.cmu.edu/~juefeix/felix_pr16_fkda.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.10.007"]}, {"id": "7d40e7e5c01bd551edf65902386401e1b8b8014b", "title": "Channel-Level Acceleration of Deep Face Representations", "year": "2015", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/RRR_cameraready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303876", "http://doi.org/10.1109/ACCESS.2015.2494536"]}, {"id": "6abdeda10a4261ae2d91806d367f7eca19e44792", "title": "Face recognition in real-world images", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001482.pdf", "https://infoscience.epfl.ch/record/224338/files/1926.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952403", "http://doi.org/10.1109/ICASSP.2017.7952403"]}, {"id": "7aa4c16a8e1481629f16167dea313fe9256abb42", "title": "Multi-task learning for face identification and attribute estimation", "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002981.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952703", "http://doi.org/10.1109/ICASSP.2017.7952703"]}, {"id": "52e181018aa26df71a02ffffaa1d061fc43cf09d", "title": "Coupled 3D Convolutional Neural Networks for Audio-Visual Recognition", "year": "2017", "pdf": [], "doi": []}, {"id": "5bb87c7462c6c1ec5d60bde169c3a785ba5ea48f", "title": "Targeting Ultimate Accuracy: Face Recognition via Deep Embedding", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07310.pdf"], "doi": []}, {"id": "930b3472592ced6665cd630be7ae57d4abb8b4b1", "title": "Development of two novel face-recognition CAPTCHAs: A security and usability study", "year": "2016", "pdf": ["https://epub.uni-regensburg.de/33570/1/CAPTCHA_Usability.pdf"], "doi": ["http://doi.org/10.1016/j.cose.2016.03.007"]}, {"id": "7e8c8b1d72c67e2e241184448715a8d4bd88a727", "title": "Face Verification Based on Relational Disparity Features and Partial Least Squares Models", "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_SIBGRAPI_Vareto.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097314", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2017.34", "http://doi.org/10.1109/SIBGRAPI.2017.34"]}, {"id": "53de11d144cd2eda7cf1bb644ae27f8ef2489289", "title": "Extending Detection with Privileged Information via Generalized Distillation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424637", "http://doi.org/10.1109/SPW.2018.00021"]}, {"id": "4be3d083e05fed1adc1af3dc4a119b74590b0eaa", "title": "Image-Based Seed Generation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7809735", "http://doi.ieeecomputersociety.org/10.1109/CIC.2016.064", "http://doi.org/10.1109/CIC.2016.064"]}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "204b2b9c33d2c3be77dbd6d82dfefd1dfa95d8a3", "title": "Deep Face Recognition under Eyeglass and Scale Variation Using Extended Siamese Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575869", "http://doi.org/10.1109/ACPR.2017.48"]}, {"id": "5ec7925cb1af29cc4916ed552a59db42c82f52d0", "title": "Cross Audio-Visual Recognition in the Wild Using Deep Learning", "year": "2017", "pdf": [], "doi": []}, {"id": "ac26166857e55fd5c64ae7194a169ff4e473eb8b", "title": "Personalized Age Progression with Bi-Level Aging Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01039.pdf"], "doi": []}, {"id": "aaec8141d57d29aa3cedf1baec9633180ddb7a3d", "title": "Geometry-aware metric learning for similar face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552916", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552916", "http://doi.org/10.1109/ICME.2016.7552916"]}, {"id": "d7080ad3381ff613f7445e8f8ac6aec0e776e79b", "title": "Compare and Contrast: Learning Prominent Visual Differences", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00112.pdf"], "doi": []}, {"id": "e97ba85a4550667b8a28f83a98808d489e0ff3bc", "title": "A Research on Fast Face Feature Points Detection on Smart Mobile Devices", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1155/2018%2F9729014", "https://doi.org/10.1155/2018/9729014"]}, {"id": "3ebb0209d5e99b22c67e425a67a959f4db8d1f47", "title": "Subspace-Based Convolutional Network for Handwritten Character Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270104", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.173", "http://doi.org/10.1109/ICDAR.2017.173"]}, {"id": "0b5915fdba1e99e401f0e964deed33a9e12357bb", "title": "Component-Based Representation in Automated Face Recognition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6341076"]}, {"id": "67c56c3893d4ecac99e263e1374ce851fb988e4f", "title": "A New Approach to Partial Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/67c5/6c3893d4ecac99e263e1374ce851fb988e4f.pdf"], "doi": []}, {"id": "9ec9a80b1c9ee6450f4419f01e457bb87d91bd5e", "title": "Optimized projection for Collaborative Representation based Classification and its applications to face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2016.01.012"]}, {"id": "ce5ee0c014b5559c8f294c34076de7e978f84844", "title": "Efficient object detection by prediction in 3D space", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.sigpro.2014.08.039"]}, {"id": "741da133076cee3cd0efa848e8ef8aee5adc98c9", "title": "Fisher's linear discriminant embedded metric learning", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2014.06.030"]}, {"id": "46d477442fa49a497b5ec794b613f127ee647bc5", "title": "Unrolling the Shutter: CNN to Correct Motion Distortions", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099735"]}, {"id": "9360cdc6ea9d1d373ff31387b5528fcea2d815ea", "title": "Honeycomb Model Based Skin Color Detector for Face Detection", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4749499"]}, {"id": "2775de727d56d50b63d473ef2ec7bfee9b62b185", "title": "Hand it over or set it down: A user study of object delivery with an assistive mobile manipulator", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5326254"]}, {"id": "43aa40eaa59244c233f83d81f86e12eba8d74b59", "title": "Fast pose invariant face recognition using super coupled multiresolution Markov Random Fields on a GPU", "year": "2014", "pdf": ["https://udrc.eng.ed.ac.uk/sites/udrc.eng.ed.ac.uk/files/publications/Pose_invariantPRL2014_kittler.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.05.017"]}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "c808c784237f167c78a87cc5a9d48152579c27a4", "title": "Know You at One Glance: A Compact Vector Representation for Low-Shot Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265437", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.227", "http://doi.org/10.1109/ICCVW.2017.227"]}, {"id": "1c7e1248ce254b3a9a0b6fef9e37d37620fc8aa3", "title": "Dynamic Image-to-Class Warping for Occluded Face Recognition", "year": "2014", "pdf": ["http://wrap.warwick.ac.uk/63261/13/WRAP_Wei_TIFS2014-WEI.pdf", "http://www2.warwick.ac.uk/fac/sci/dcs/people/chang-tsun_li/publications/TIF_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906281", "http://doi.org/10.1109/TIFS.2014.2359632"]}, {"id": "133f01aec1534604d184d56de866a4bd531dac87", "title": "Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5674057"]}, {"id": "13fd0a4d06f30a665fc0f6938cea6572f3b496f7", "title": "Regularized Extreme Learning Machine for Large-scale Media Content Analysis", "year": "2015", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/conference/2015_INNS_RELM.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.procs.2015.07.319"]}, {"id": "2c06781ba75d51f5246d65d1acf66ab182e9bde6", "title": "Open-set face recognition across look-alike faces in real-world scenarios", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2016.11.002"]}, {"id": "d0f690b9ad1d66e06e4da18381d92443e9d15f11", "title": "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578642"]}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "0037bff7be6d463785d4e5b2671da664cd7ef746", "title": "Multiple Instance Metric Learning from Automatically Labeled Bags of Faces", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/0037/bff7be6d463785d4e5b2671da664cd7ef746.pdf"], "doi": []}, {"id": "95df57cf3e15d75a8526b4fd3212d39538d31100", "title": "Towards Pose Invariant Face Recognition in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578333"]}, {"id": "59ac40ba02eb812e08f8a80f2303d7d97376fae9", "title": "Unsupervised Joint Alignment, Clustering and Feature Learning", "year": "2014", "pdf": [], "doi": []}, {"id": "75e7fa7290b9b740559725b9c59df0d457523ee3", "title": "A pr 2 01 8 Ultra Power-Efficient CNN Domain Specific Accelerator with 9 . 3 TOPS / Watt for Mobile and Embedded Applications", "year": "2018", "pdf": [], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "288dbc40c027af002298b38954d648fddd4e2fd3", "title": "Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/288d/bc40c027af002298b38954d648fddd4e2fd3.pdf"], "doi": []}, {"id": "0faf441a1ef1e788fb9ccd20484b104a1fa95ee8", "title": "A brief review on techniques for recognizing images under varying poses", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7124975", "http://doi.org/10.1109/ECS.2015.7124975"]}, {"id": "7a99b250f070e5adba3ed9483ea7ea47fc71ac8c", "title": "Efficient face recognition using wavelet-based generalized neural network", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.sigpro.2012.09.012"]}, {"id": "1b6394178dbc31d0867f0b44686d224a19d61cf4", "title": "EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca8e/5419fd570f19643425b24da801283b706fc1.pdf"], "doi": []}, {"id": "d065996d413814b58092d4b881f3ac6e9d6b15d8", "title": "CBR TECHNIQUES WITH SPARSE CODEWORDS TO RETRIEVE FACE IMAGE", "year": "2015", "pdf": [], "doi": []}, {"id": "1d53aebe67d0e088e2da587fd6b08c8e8ed7f45c", "title": "A Selection Module for Large-Scale Face Recognition Systems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1d53/aebe67d0e088e2da587fd6b08c8e8ed7f45c.pdf"], "doi": []}, {"id": "7480d8739eb7ab97c12c14e75658e5444b852e9f", "title": "MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfe4/b03951be323394e6749f6a30b2ac9b924479.pdf"], "doi": []}, {"id": "ddf099f0e0631da4a6396a17829160301796151c", "title": "Chen et al . Face Quality Value : Input : Feat -\u2010 5 Features : L 2 R + PKM Model : Feat -\u2010", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ddf0/99f0e0631da4a6396a17829160301796151c.pdf"], "doi": []}, {"id": "14e949f5754f9e5160e8bfa3f1364dd92c2bb8d6", "title": "Multi-subregion based correlation filter bank for robust face recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1603.07604.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "ac6b280f2a43516fbaf92073304002f9f4da0188", "title": "Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients", "year": "2014", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/PR14b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.03.024"]}, {"id": "94a7c97d1e3eb5dbfb20b180780451486597a9be", "title": "Facial attributes for active authentication on mobile devices", "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/attrspaper_final.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.004"]}, {"id": "210668e2dd74916ca1aa1555aff30e78cd3f477e", "title": "Detector of Facial Landmarks Learned by the Structured Output SVM", "year": "2012", "pdf": [], "doi": []}, {"id": "8e3d0b401dec8818cd0245c540c6bc032f169a1d", "title": "McGan: Mean and Covariance Feature Matching GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08398.pdf"], "doi": []}, {"id": "d37519f8b26a86162bff65ee48d3a805773b7c98", "title": "Fast and efficient compact feature descriptor for face recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8076785"]}, {"id": "269912f07c693453dbe5ae69175d06e841e2d9b5", "title": "Adapting pedestrian detectors to new domains: A comprehensive review", "year": "2016", "pdf": ["http://eprints.whiterose.ac.uk/102212/1/elsarticle-template-num.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2016.01.029", "https://www.wikidata.org/entity/Q57949181"]}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"], "doi": []}, {"id": "0fa077478abea097a1b74915ccaaeb4952eaaec7", "title": "Object Classification With Joint Projection and Low-Rank Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.01594.pdf"], "doi": []}, {"id": "e692870efb009da4b9316678b354ae935fdf48eb", "title": "An Efficient and Robust Gender Classification System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7546094"]}, {"id": "02a92b79391ddac0acef4f665b396f7f39ca2972", "title": "Fusing landmark-based features at kernel level for face recognition \u2606", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.021"]}, {"id": "c3fb2399eb4bcec22723715556e31c44d086e054", "title": "Face recognition based on SIGMA sets of image features", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p499-srinivasan.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6853646", "http://doi.org/10.1109/ICASSP.2014.6853646"]}, {"id": "cfbb2d32586b58f5681e459afd236380acd86e28", "title": "Improving alignment of faces for recognition", "year": "2011", "pdf": ["http://www.professeurs.polymtl.ca/christopher.pal/2011/ROSE.v2.5.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6058545", "http://doi.org/10.1109/ROSE.2011.6058545"]}, {"id": "2916dbb29b6b9b13f6d4f7517c239de9bd81b4f4", "title": "Online Heterogeneous Transfer Metric Learning", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0350.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F350", "https://doi.org/10.24963/ijcai.2018/350"]}, {"id": "8913a5b7ed91c5f6dec95349fbc6919deee4fc75", "title": "BigBIRD: A large-scale 3D database of object instances", "year": "2014", "pdf": ["http://www.cs.berkeley.edu/~karthik.narayan/assets/2014-ICRA-BigBIRD.pdf", "http://www.cs.cornell.edu/~hema/rgbd-workshop-2014/papers/Singh.pdf", "https://people.eecs.berkeley.edu/~pabbeel/papers/2014-ICRA-BigBIRD.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906903", "http://doi.org/10.1109/ICRA.2014.6906903"]}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "4d9b757b51e52dc5da81f47f7006833269a55ff2", "title": "Extrapolating Expected Accuracies for Large Multi-Class Problems", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09713.pdf"], "doi": []}, {"id": "ae1c92ae7e836eb3d964b998ac5f8699e5c90cfc", "title": "Large Scale Visual Recognition", "year": "2012", "pdf": [], "doi": []}, {"id": "d92084e376a795d3943df577d3b3f3b7d12eeae5", "title": "Face and Image Representation in Deep CNN Features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961806", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.85", "http://doi.org/10.1109/FG.2017.85"]}, {"id": "0b8c92463f8f5087696681fb62dad003c308ebe2", "title": "On matching sketches with digital face images", "year": "2010", "pdf": ["https://www.iiitd.edu.in/~richa/papers/BTAS10-Sketch.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634507", "http://doi.org/10.1109/BTAS.2010.5634507"]}, {"id": "de878384f00b6ce1caa66ac01735fb4b63ad0279", "title": "Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1049/iet-ipr.2014.0670"]}, {"id": "1bc075fd7cc4bd847c9dbf4e990f295954b89fe6", "title": "Towards Large-Scale 3D Face Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797090", "http://doi.org/10.1109/DICTA.2016.7797090"]}, {"id": "5a93f9084e59cb9730a498ff602a8c8703e5d8a5", "title": "Face Recognition using Local Quantized Patterns", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5a93/f9084e59cb9730a498ff602a8c8703e5d8a5.pdf"], "doi": []}, {"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"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": "f834c50e249c9796eb7f03da7459b71205dc0737", "title": "Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6008646", "http://doi.org/10.1109/TIP.2011.2166974", "https://www.ncbi.nlm.nih.gov/pubmed/21896385", "https://www.wikidata.org/entity/Q48113135"]}, {"id": "c5fe40875358a286594b77fa23285fcfb7bda68e", "title": "Face identification using reference-based features with message passing model", "year": "2013", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2012.pdf", "http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf", "https://cis.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2012.06.032"]}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "7f3a73babe733520112c0199ff8d26ddfc7038a0", "title": "Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f3a/73babe733520112c0199ff8d26ddfc7038a0.pdf"], "doi": []}, {"id": "13141284f1a7e1fe255f5c2b22c09e32f0a4d465", "title": "Object Tracking by Oversampling Local Features", "year": "2014", "pdf": ["http://www.micc.unifi.it/pernici/index_files/ALIEN_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6684527", "http://doi.org/10.1109/TPAMI.2013.250", "https://www.ncbi.nlm.nih.gov/pubmed/26353156", "https://www.wikidata.org/entity/Q48652939"]}, {"id": "f19ab817dd1ef64ee94e94689b0daae0f686e849", "title": "Blickrichtungsunabh\u00e4ngige Erkennung von Personen in Bild- und Tiefendaten", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/f19a/b817dd1ef64ee94e94689b0daae0f686e849.pdf"], "doi": []}, {"id": "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "title": "Frankenstein: Learning Deep Face Representations Using Small Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06470.pdf"], "doi": []}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "ada73060c0813d957576be471756fa7190d1e72d", "title": "VRPBench: A Vehicle Routing Benchmark Tool.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05402.pdf"], "doi": []}, {"id": "cfa205874bd192ab949132631a7eda995ecc57af", "title": "Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07457.pdf"], "doi": []}, {"id": "45dffa3cd37371c5eed78b6f170c7ab3b5cc491f", "title": "Face Recognition Using a Unified 3D Morphable Model", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0431/7e63c08e7888cef480fe79f12d3c255c5b00.pdf"], "doi": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "title": "Bayesian face recognition using 2D Gaussian-Hermite moments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe0c/51fd41cb2d5afa1bc1900bbbadb38a0de139.pdf"], "doi": []}, {"id": "8c9b29d6df5601d0bc9f6164d99a26a1cb1e256d", "title": "Two-Dimensional Joint Bayesian Method for Face Verification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8c9b/29d6df5601d0bc9f6164d99a26a1cb1e256d.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7094272", "http://doi.org/10.1109/TIP.2015.2426413", "https://www.ncbi.nlm.nih.gov/pubmed/25915959"]}, {"id": "51c3050fb509ca685de3d9ac2e965f0de1fb21cc", "title": "Fantope Regularization in Metric Learning", "year": "2014", "pdf": ["http://cedric.cnam.fr/~thomen/papers/Law_CVPR_2014_Fantope.pdf", "http://vision.ia.ac.cn/zh/senimar/reports/Fantope%20Regularization%20in%20Metric%20Learning%20-%20byh.pdf", "http://www-poleia.lip6.fr/~lawm/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Law_Fantope_Regularization_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909534", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.138", "http://doi.org/10.1109/CVPR.2014.138", "https://hal.archives-ouvertes.fr/hal-01094074/document"]}, {"id": "1617f56c86bf8ea61de62062a97961d23fcf03d3", "title": "Facial Similarity Learning with Humans in the Loop", "year": "2015", "pdf": ["https://page-one.springer.com/pdf/preview/10.1007/s11390-015-1540-3"], "doi": ["http://doi.org/10.1007/s11390-015-1540-3"]}, {"id": "26bf242c40b86e70f2a5f9db5a34f0ac6345f14c", "title": "Adversarial Metric Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03170.pdf"], "doi": []}, {"id": "dbc04694ef17c83bb12b3ad34da6092eab68ae68", "title": "Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.04423.pdf"], "doi": []}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "e724c9a69613bef36f67ae7ed6850b1942918804", "title": "Recognition of Faces Using Discriminative Features of LBP and HOG Descriptor in Varying Environment", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7546129"]}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "5a8f96f6906af8fbf73810b88c68b84a31555f60", "title": "Iterative Grassmannian Optimization for Robust Image Alignment", "year": "2014", "pdf": ["https://arxiv.org/pdf/1306.0404.pdf"], "doi": []}, {"id": "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "title": "Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dc2e/805d0038f9d1b3d1bc79192f1d90f6091ecb.pdf"], "doi": []}, {"id": "db0b512d4473bf9d08875bc001038e9a3fc71a11", "title": "Research on Unstructured Text Data Mining and Fault Classification Based on RNN-LSTM with Malfunction Inspection Report", "year": "2017", "pdf": ["http://www.mdpi.com/1996-1073/10/3/406/pdf"], "doi": ["https://doi.org/10.3390/en10030406"]}, {"id": "818e537b0c6ec8b388ab14d947dda50ff2f8ed13", "title": "Semi Supervised Learning in Wild Faces and Videos", "year": "2011", "pdf": [], "doi": []}, {"id": "3b9d94752f8488106b2c007e11c193f35d941e92", "title": "Appearance , Visual and Social Ensembles for Face Recognition in Personal Photo Collections", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3b9d/94752f8488106b2c007e11c193f35d941e92.pdf"], "doi": []}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-018-01617-y"]}, {"id": "3e4acf3f2d112fc6516abcdddbe9e17d839f5d9b", "title": "Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04363.pdf"], "doi": []}, {"id": "ce54e891e956d5b502a834ad131616786897dc91", "title": "Face Recognition Using LTP Algorithm", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce54/e891e956d5b502a834ad131616786897dc91.pdf"], "doi": []}, {"id": "6fa3857faba887ed048a9e355b3b8642c6aab1d8", "title": "Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fa3/857faba887ed048a9e355b3b8642c6aab1d8.pdf"], "doi": []}, {"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.06149.pdf"], "doi": []}, {"id": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"], "doi": []}, {"id": "60b3601d70f5cdcfef9934b24bcb3cc4dde663e7", "title": "Binary Gradient Correlation Patterns for Robust Face Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/60b3/601d70f5cdcfef9934b24bcb3cc4dde663e7.pdf"], "doi": []}, {"id": "c813413fc84be33d7c4ccdd4a1f025ccc73a77bd", "title": "Discriminative Bayesian Active Shape Models", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c813/413fc84be33d7c4ccdd4a1f025ccc73a77bd.pdf"], "doi": []}, {"id": "753bfc20fc820d33b8069dde1ddcb3a662d07a3f", "title": "Bilateral Two-Dimensional Neighborhood Preserving Discriminant Embedding for Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8013795"]}, {"id": "48bc87ccc6b6e2d318f91d5f1886432806fec553", "title": "Multiaccuracy: Black-Box Post-Processing for Fairness in Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12317.pdf"], "doi": []}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"], "doi": []}, {"id": "0a88f5936528dcfdd27df886b07e62f2fd2072d0", "title": "Supervised Congealing for Simultaneous Face Normalization and Eye Localization", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5344056"]}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "367f5243e3a7cd3dede3a9b2c540906d18161636", "title": "Weakly supervised learning from multiple modalities: exploiting video, audio and text for video understanding", "year": "2009", "pdf": [], "doi": []}, {"id": "a0b87e556ea7f4e1f5daafdd334c23549d593f48", "title": "Robot semantic place recognition based on deep belief networks and a direct use of tiny images. (Robot de reconnaissance des lieux s\u00e9mantiques bas\u00e9e sur l'architecture profonde et une utilisation directe de mini-images)", "year": "2012", "pdf": [], "doi": ["https://tel.archives-ouvertes.fr/tel-00960289", "https://tel.archives-ouvertes.fr/tel-00960289/document"]}, {"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": "731d33256d42dc4146019954c46c566aa666d7f2", "title": "Partially Shared Multi-task Convolutional Neural Network with Local Constraint for Face Attribute Learning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Partially_Shared_Multi-Task_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578549", "http://doi.org/10.1109/CVPR.2018.00451"]}, {"id": "ad7df582a51dab276cf3db3a56c4b7166bc3632c", "title": "SIFRS: Spoof Invariant Facial Recognition System (A Helping Hand for Visual Impaired People)", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8493971"]}, {"id": "68484ae8a042904a95a8d284a7f85a4e28e37513", "title": "Spoofing Deep Face Recognition with Custom Silicone Masks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6848/4ae8a042904a95a8d284a7f85a4e28e37513.pdf"], "doi": []}, {"id": "ea2ee5c53747878f30f6d9c576fd09d388ab0e2b", "title": "Viola-Jones based detectors: how much affects the training set?", "year": "2011", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15079/5/C075_LNCS_IBPRIA11_postprint.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-21257-4_37"]}, {"id": "2ef51b57c4a3743ac33e47e0dc6a40b0afcdd522", "title": "Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition", "year": "2011", "pdf": ["https://arxiv.org/pdf/1108.1122.pdf"], "doi": []}, {"id": "917423ac7e47cc6131084f645444aaf98cb98395", "title": "A high-throughput screening approach to discovering good forms of inspired visual representation", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/9174/23ac7e47cc6131084f645444aaf98cb98395.pdf"], "doi": []}, {"id": "2f17f6c460e02bd105dcbf14c9b73f34c5fb59bd", "title": "Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2f17/f6c460e02bd105dcbf14c9b73f34c5fb59bd.pdf"], "doi": []}, {"id": "eb526174fa071345ff7b1fad1fad240cd943a6d7", "title": "Deeply vulnerable: a study of the robustness of face recognition to presentation attacks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb52/6174fa071345ff7b1fad1fad240cd943a6d7.pdf"], "doi": []}, {"id": "743e582c3e70c6ec07094887ce8dae7248b970ad", "title": "Face Recognition based on Deep Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/743e/582c3e70c6ec07094887ce8dae7248b970ad.pdf"], "doi": []}, {"id": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "title": "Attribute and simile classifiers for face verification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459250"]}, {"id": "aba9acb4a607071af10684f2cfbdefa0507a4e9a", "title": "Uncorrelated multi-set feature learning for color face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.06.010"]}, {"id": "7db00be42ded44f87f23661c49913f9d64107983", "title": "TROPE R HCRAESE R PAID I 2 D FACE RECOGNITION : AN EXPERIMENTAL AND REPRODUCIBLE RESEARCH SURVEY", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7db0/0be42ded44f87f23661c49913f9d64107983.pdf"], "doi": []}, {"id": "ec00ecb64fa206cea8b2e716955a738a96424084", "title": "Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Hashemi_Intelligent_Synthesis_Driven_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265512", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.301", "http://doi.org/10.1109/ICCVW.2017.301"]}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977254", "http://doi.org/10.1109/ICPR.2014.542"]}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "baa6b659c18ede26085dff29fb1b3130217e9102", "title": "Head pose estimation using image abstraction and local directional quaternary patterns for multiclass classification", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2014.03.017"]}, {"id": "116808d63af1cdfa30b9cb9abfa6883f932cc44f", "title": "Feature fusion with covariance matrix regularization in face recognition", "year": "2018", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/44512/Feature%20Fusion%20with%20Covariance%20Matrix%20Regularization%20in.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.1016/j.sigpro.2017.10.024"]}, {"id": "6c01b349edb2d33530e8bb07ba338f009663a9dd", "title": "Cross-Media Alignment of Names and Faces", "year": "2010", "pdf": ["http://class.inrialpes.fr/pub/pham-tmm09.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5332299", "http://doi.org/10.1109/TMM.2009.2036232", "https://doi.org/10.1109/TMM.2009.2036232"]}, {"id": "238fc68b2e0ef9f5ec043d081451902573992a03", "title": "Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition", "year": "2016", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ChuanxianRen-ELGOF-TCYB.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7302030", "http://doi.org/10.1109/TCYB.2015.2484356", "https://www.ncbi.nlm.nih.gov/pubmed/26513817", "https://www.wikidata.org/entity/Q40379538"]}, {"id": "50f0c495a214b8d57892d43110728e54e413d47d", "title": "Pairwise support vector machines and their application to large scale problems", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/50f0/c495a214b8d57892d43110728e54e413d47d.pdf"], "doi": []}, {"id": "7c86f71de716a297950dc46f45152e03bfbc475d", "title": "Asymmetric Joint Learning for Heterogeneous Face Recognition", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16096", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16096/16249"]}, {"id": "02e133aacde6d0977bca01ffe971c79097097b7f", "title": "Convolutional Neural Fabrics", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02492.pdf"], "doi": []}, {"id": "1da83903c8d476c64c14d6851c85060411830129", "title": "Iterated Support Vector Machines for Distance Metric Learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00363.pdf"], "doi": []}, {"id": "5b0ebb8430a04d9259b321fc3c1cc1090b8e600e", "title": "The One-Shot similarity kernel", "year": "2009", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/osskernel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459323", "http://doi.org/10.1109/ICCV.2009.5459323"]}, {"id": "4526992d4de4da2c5fae7a5ceaad6b65441adf9d", "title": "System for Medical Mask Detection in the Operating Room Through Facial Attributes", "year": "2015", "pdf": ["http://persoal.citius.usc.es/manuel.mucientes/pubs/Nieto-Rodriguez15_ibpria.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-19390-8_16"]}, {"id": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"], "doi": []}, {"id": "90d735cffd84e8f2ae4d0c9493590f3a7d99daf1", "title": "Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/90d7/35cffd84e8f2ae4d0c9493590f3a7d99daf1.pdf"], "doi": []}, {"id": "e8dda897372e6b4cf903234c7a9c40117711d8d8", "title": "What do you think of my picture? Investigating factors of influence in profile images context perception", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e8dd/a897372e6b4cf903234c7a9c40117711d8d8.pdf"], "doi": []}, {"id": "7c2ecfb2feb2b8bd61232567631fe5c0f336cc14", "title": "Unblinking eyes: the ethics of automating surveillance", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s10676-012-9291-0"]}, {"id": "27a0a7837f9114143717fc63294a6500565294c2", "title": "Face Recognition in Unconstrained Environments : A Comparative Study", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/27a0/a7837f9114143717fc63294a6500565294c2.pdf"], "doi": []}, {"id": "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "title": "Compass local binary patterns for gender recognition of facial photographs and sketches", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.055"]}, {"id": "110359824a0e3b6480102b108372793265a24a86", "title": "Landmark perturbation-based data augmentation for unconstrained face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.03.011"]}, {"id": "a95dc0c4a9d882a903ce8c70e80399f38d2dcc89", "title": "Review and Implementation of High-Dimensional Local Binary Patterns and Its Application to Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a95d/c0c4a9d882a903ce8c70e80399f38d2dcc89.pdf"], "doi": []}, {"id": "b23bad5159c41b32fa07e901b1cf52fdb41450df", "title": "Multiscale Local Phase Quantization for Robust Component-Based Face Recognition Using Kernel Fusion of Multiple Descriptors", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6302142", "http://doi.org/10.1109/TPAMI.2012.199", "https://www.ncbi.nlm.nih.gov/pubmed/23520257", "https://www.wikidata.org/entity/Q51241668"]}, {"id": "f1aa120fb720f6cfaab13aea4b8379275e6d40a2", "title": "InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f1aa/120fb720f6cfaab13aea4b8379275e6d40a2.pdf"], "doi": []}, {"id": "6f7ce89aa3e01045fcd7f1c1635af7a09811a1fe", "title": "A novel rank order LoG filter for interest point detection", "year": "2012", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0000937.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6288039", "http://doi.org/10.1109/ICASSP.2012.6288039"]}, {"id": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789676", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.186", "http://doi.org/10.1109/CVPRW.2016.186"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "7fc5ab3743e6e9a2f4fe70152440e13a673e239b", "title": "Improved Face Recognition Rate Using HOG Features and SVM Classifier", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7fc5/ab3743e6e9a2f4fe70152440e13a673e239b.pdf"], "doi": []}, {"id": "32d15024dbac059d6ba5ef8dc4cacebeba5df68f", "title": "On Hair Recognition in the Wild by Machine", "year": "2014", "pdf": ["http://cse.msu.edu/~liuxm/publication/Roth_Liu_AAAI2014.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2014AAAI_Roth_Liu.pdf", "https://pdfs.semanticscholar.org/8eb7/d148107a6cca99b788d70b5134583d28e9c4.pdf"], "doi": ["http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8598", "http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/download/8598/8636"]}, {"id": "e6ca412a05002b51d358c2e3061913c3dab6b810", "title": "MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10580.pdf"], "doi": []}, {"id": "f49b4ab188dd090367d9f6762473879b2bba16cf", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578512"]}, {"id": "5b3f345f1e3ff54e088b8d7ca2f831fd34dcb80a", "title": "Face Painting: querying art with photos", "year": "2015", "pdf": ["http://www.bmva.org/bmvc/2015/papers/paper065/abstract065.pdf", "http://www.bmva.org/bmvc/2015/papers/paper065/paper065.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Crowley15/crowley15.pdf", "https://www.research.ed.ac.uk/portal/files/28430753/crowley15.pdf"], "doi": ["https://doi.org/10.5244/C.29.65"]}, {"id": "404776aa18031828f3d5dbceed39907f038a47fe", "title": "Sparsely encoded local descriptor for face verification", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/homepage/rpwang/publications/Sparsely%20Encoded%20Local%20Descriptor%20for%20Face%20Verification_NECO2015.pdf", "https://pdfs.semanticscholar.org/4047/76aa18031828f3d5dbceed39907f038a47fe.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2014.06.044"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"id": "d8c62e812a03f7cefe1e5300232e2a031e3dadfb", "title": "FACE IMAGE RECOGNITION BASED ON PARTIAL FACE MATCHING USING GENETIC ALGORITHM", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d8c6/2e812a03f7cefe1e5300232e2a031e3dadfb.pdf"], "doi": []}, {"id": "fe108803ee97badfa2a4abb80f27fa86afd9aad9", "title": "Kernel discriminant transformation for image set-based face recognition", "year": "2011", "pdf": ["http://www.csie.kuas.edu.tw/~jcchen/pdf/Kernel%20discriminant%20transformation%20for%20image%20set-based%20face%20recognition.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2011.02.011"]}, {"id": "7397fc452aac26712099170431a02fd531f97cf0", "title": "An MKD-SRC Approach for Face Recognition from Partial Image", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7397/fc452aac26712099170431a02fd531f97cf0.pdf"], "doi": []}, {"id": "e476cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf", "title": "Robust Kernel Representation With Statistical Local Features for Face Recognition", "year": "2013", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/RKR-TNN.pdf", "https://pdfs.semanticscholar.org/e476/cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6471239", "http://doi.org/10.1109/TNNLS.2013.2245340", "https://www.ncbi.nlm.nih.gov/pubmed/24808472", "https://www.wikidata.org/entity/Q46195115"]}, {"id": "5322b4232b234d0b1b06463fcbc0d1e20396de4e", "title": "Runtime Network Routing for Efficient Image Classification.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30371355", "https://doi.org/10.1109/TPAMI.2018.2878258"]}, {"id": "3a9681e2e07be7b40b59c32a49a6ff4c40c962a2", "title": "Comparing treatment means : overlapping standard errors , overlapping confidence intervals , and tests of hypothesis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1c95/1714996c573b00e63878acdc48cdc4ddc183.pdf"], "doi": []}, {"id": "6cddc7e24c0581c50adef92d01bb3c73d8b80b41", "title": "Face Verification Using the LARK Representation", "year": "2011", "pdf": ["https://users.soe.ucsc.edu/~milanfar/publications/journal/TIFS_Final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5872024", "http://doi.org/10.1109/TIFS.2011.2159205"]}, {"id": "b6967d6096294bbac242b6f27e1fee51da24eb11", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578645"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "b1961dca4d37aa72a0713fd2164d70126ffc0587", "title": "Non-uniform patch based face recognition via 2D-DWT", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.imavis.2014.12.005", "http://cam.tju.edu.cn/research/downAchiev.php?id=29"]}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "9d757c0fede931b1c6ac344f67767533043cba14", "title": "Search Based Face Annotation Using PCA and Unsupervised Label Refinement Algorithms", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9d75/7c0fede931b1c6ac344f67767533043cba14.pdf"], "doi": []}, {"id": "e1f790bbedcba3134277f545e56946bc6ffce48d", "title": "Image Retrieval Using Attribute Enhanced Sparse Code Words", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e1f7/90bbedcba3134277f545e56946bc6ffce48d.pdf"], "doi": []}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/talk_final.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Fouhey16/fouhey16.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/talk_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780537", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.168", "http://doi.org/10.1109/CVPR.2016.168"]}, {"id": "68f61154a0080c4aae9322110c8827978f01ac2e", "title": "Recognizing blurred , non-frontal , illumination and expression variant partially occluded faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68f6/1154a0080c4aae9322110c8827978f01ac2e.pdf"], "doi": []}, {"id": "2c56e17a37c3584d128e7baf3cbea595a150f74f", "title": "Improving Face Recognition Systems Using a New Image Enhancement Technique, Hybrid Features and the Convolutional Neural Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8550634"]}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "326ccae22d5d28812adef8c88dcfb1cddc2bb4e3", "title": "A Bezier Curve Cohort Selection Strategy for Face Pair Matching", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3193044"]}, {"id": "ac0d88ca5f75a4a80da90365c28fa26f1a26d4c4", "title": "MOT16: A Benchmark for Multi-Object Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00831.pdf"], "doi": []}, {"id": "cd3b713722ccb1e2ae3b050837ca296b2a2dd82a", "title": "Kernel dictionary learning based discriminant analysis", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2016.07.015"]}, {"id": "3dda181be266950ba1280b61eb63ac11777029f9", "title": "When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09757.pdf"], "doi": []}, {"id": "78fdf2b98cf6380623b0e20b0005a452e736181e", "title": "Dense Wide-Baseline Stereo with Varying Illumination and its Application to Face Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/78fd/f2b98cf6380623b0e20b0005a452e736181e.pdf"], "doi": []}, {"id": "d452eaa8decb8c7a83bc716beaf8e9e74a3c2218", "title": "K-Means Clustering For Detection of Human Faces in Databases", "year": "2009", "pdf": [], "doi": []}, {"id": "e83b017eaedfbf19d598799d8a1884c57c634782", "title": "GenLR-Net: Deep Framework for Very Low Resolution Face and Object Recognition with Generalization to Unseen Categories", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575553"]}, {"id": "3c086601ce0bac61047b5b931b253bd4035e1e7a", "title": "Occlusion handling in feature point tracking using ranked parts based models", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350897", "http://doi.org/10.1109/ICIP.2015.7350897"]}, {"id": "47e8db3d9adb79a87c8c02b88f432f911eb45dc5", "title": "MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05715.pdf"], "doi": []}, {"id": "2ef1b1b5ed732634e005df779fd9b21da0ffe60c", "title": "Pair of projections based on sparse consistence with applications to efficient face recognition", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.image.2017.03.012"]}, {"id": "a92c207031b0778572bf41803dba1a21076e128b", "title": "Unobtrusive Students' Engagement Analysis in Computer Science Laboratory Using Deep Learning Techniques", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8433557", "http://doi.ieeecomputersociety.org/10.1109/ICALT.2018.00110", "http://doi.org/10.1109/ICALT.2018.00110"]}, {"id": "224d0eee53c2aa5d426d2c9b7fa5d843a47cf1db", "title": "Probabilistic Elastic Matching for Pose Variant Face Verification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d499.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Probabilistic_Elastic_Matching_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/CVPR13-PEM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619293", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.449", "http://doi.org/10.1109/CVPR.2013.449"]}, {"id": "b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1", "title": "Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09518.pdf"], "doi": []}, {"id": "82417d8ec8ac6406f2d55774a35af2a1b3f4b66e", "title": "Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8241/7d8ec8ac6406f2d55774a35af2a1b3f4b66e.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "7bdcd85efd1e3ce14b7934ff642b76f017419751", "title": "Learning Discriminant Face Descriptor", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/Lei-DFD-PAMI-14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6531609", "http://doi.org/10.1109/TPAMI.2013.112", "https://www.ncbi.nlm.nih.gov/pubmed/24356350", "https://www.wikidata.org/entity/Q50701663"]}, {"id": "8134b052a9aedd573dd16649a611f68b48e30cb2", "title": "InverseFaceNet: Deep Monocular Inverse Face Rendering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.10956.pdf"], "doi": []}, {"id": "289cfcd081c4393c7d6f63510747b5372202f855", "title": "Detecting Decision Ambiguity from Facial Images", "year": "2018", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373873", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00080", "http://doi.org/10.1109/FG.2018.00080"]}, {"id": "5506a1a1e1255353fde05d9188cb2adc20553af5", "title": "Dictionary Integration Using 3D Morphable Face Models for Pose-Invariant Collaborative-Representation-Based Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.00284.pdf"], "doi": []}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "b49affdff167f5d170da18de3efa6fd6a50262a2", "title": "Linking Names and Faces : Seeing the Problem in Different Ways", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/b49a/ffdff167f5d170da18de3efa6fd6a50262a2.pdf"], "doi": []}, {"id": "b46d49cb7aade5ab7be51bd7a0ce3aa6f7c6b9ed", "title": "Recognizing Gender from Human Facial Regions using Genetic Algorithm", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01661.pdf"], "doi": []}, {"id": "9a3f3a8e48fb9549b5292e4c4c474f5f1d810d64", "title": "Quasi Cosine Similarity Metric Learning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9a3f/3a8e48fb9549b5292e4c4c474f5f1d810d64.pdf"], "doi": []}, {"id": "632fb05acb6f5de2506a7cbb8d47a181314bc23c", "title": "Face detection in color images using fusion of the chrominance and luminance channel decisions", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5509043"]}, {"id": "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "title": "Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02412.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "8cd9475a3a1b2bcccf2034ce8f4fe691c57a4889", "title": "Noisy Face Image Sets Refining Collaborated with Discriminant Feature Space Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961789", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.138", "http://doi.org/10.1109/FG.2017.138"]}, {"id": "a4a0b5f08198f6d7ea2d1e81bd97fea21afe3fc3", "title": "cient Recurrent Residual Networks Improved by Feature Transfer MSc Thesis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a4a0/b5f08198f6d7ea2d1e81bd97fea21afe3fc3.pdf"], "doi": []}, {"id": "cf254aaecb3b6f0f127a8ed620c11223bd171ccc", "title": "Boosting gender recognition performance with a fuzzy inference system", "year": "2015", "pdf": ["http://www.lifl.fr/~martinej/papers/2015/danisman15boosting.pdf"], "doi": ["http://doi.org/10.1016/j.eswa.2014.11.023", "https://hal.archives-ouvertes.fr/hal-01111681/document"]}, {"id": "0a2d2b79ba39e2140c93543b8ce873f106c08e3d", "title": "Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.03279.pdf"], "doi": []}, {"id": "1fbde67e87890e5d45864e66edb86136fbdbe20e", "title": "The Action Similarity Labeling Challenge", "year": "2012", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=29AAC1FEE14BE24B8F85A75F41F8A9CE?doi=10.1.1.400.8877&rep=rep1&type=pdf", "http://www.cs.tau.ac.il/~wolf/papers/aslan.pdf", "http://www.openu.ac.il/home/hassner/data/ASLAN/Papers/ASLAN_TPAMI12.pdf", "http://www.wisdom.weizmann.ac.il/mathusers/kliper/Papers/ASLAN_TPAMI12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6042884", "http://doi.org/10.1109/TPAMI.2011.209", "https://www.ncbi.nlm.nih.gov/pubmed/22262724", "https://www.wikidata.org/entity/Q44165124"]}, {"id": "1ce29d6b820ed4a24da27b76ffd9605d5b3b10b5", "title": "Unrestricted pose-invariant face recognition by sparse dictionary matrix", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.01.007"]}, {"id": "34546ef7e6148d9a1fb42cfab5f0ce11c92c760a", "title": "Robust domain adaptation image classification via sparse and low rank representation", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2015.09.005"]}, {"id": "13907865a97afde053d7bb7134d58a7bbc12043c", "title": "Fisher discrimination based low rank matrix recovery for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2014.05.001"]}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780892", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.523", "http://doi.org/10.1109/CVPR.2016.523"]}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "8b1db0894a23c4d6535b5adf28692f795559be90", "title": "How Reliable are Your Visual Attributes ?", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8b1d/b0894a23c4d6535b5adf28692f795559be90.pdf"], "doi": []}, {"id": "90fb58eeb32f15f795030c112f5a9b1655ba3624", "title": "OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS ISSN 2320-7345 FACE AND IRIS RECOGNITION IN A VIDEO SEQUENCE USING DBPNN AND ADAPTIVE HAMMING DISTANCE", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/90fb/58eeb32f15f795030c112f5a9b1655ba3624.pdf"], "doi": []}, {"id": "ec40df721a80c62d4a768fe29b58d86b1a07f435", "title": "Local robust sparse representation for face recognition with single sample per person", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051298"]}, {"id": "f8d434471c2850c5f1d0757d42142b655fb46ddb", "title": "A New Distance Measure for Non-Identical Data with Application to Image Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.09766.pdf"], "doi": []}, {"id": "3e687d5ace90c407186602de1a7727167461194a", "title": "Photo Tagging by Collection-Aware People Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3e68/7d5ace90c407186602de1a7727167461194a.pdf"], "doi": []}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "da8d0855e7760e86fbec47a3cfcf5acd8c700ca8", "title": "F 2 ConText : How to Extract Holistic Contexts of Persons of Interest for Enhancing Exploratory Analysis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/da8d/0855e7760e86fbec47a3cfcf5acd8c700ca8.pdf"], "doi": []}, {"id": "e83753a708e3bc8072851fe97aa6929515c518ec", "title": "Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546745"]}, {"id": "307a810d1bf6f747b1bd697a8a642afbd649613d", "title": "An affordable contactless security system access for restricted area", "year": "2016", "pdf": [], "doi": []}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301352", "http://doi.org/10.1109/CVPRW.2015.7301352"]}, {"id": "c84991fe3bf0635e326a05e34b11ccaf74d233dc", "title": "A parameter-free label propagation algorithm for person identification in stereo videos", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.069"]}, {"id": "ec286f61f2c530b5628596c0e82ae5b07e7396c2", "title": "A Computational Study of American Sign Language Nonmanuals", "year": "2015", "pdf": [], "doi": []}, {"id": "db68105a787d7ef60ebb5bb4cfce151d47748123", "title": "Improved RGB-D-T based face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/db68/105a787d7ef60ebb5bb4cfce151d47748123.pdf"], "doi": []}, {"id": "4686bdcee01520ed6a769943f112b2471e436208", "title": "Fast search based on generalized similarity measure", "year": "2017", "pdf": ["http://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0024-5?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0024-5", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986831"]}, {"id": "c444c4dab97dd6d6696f56c1cacda051dde60448", "title": "Multiview Face Detection and Registration Requiring Minimal Manual Intervention", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6461885", "http://doi.org/10.1109/TPAMI.2013.37", "https://www.ncbi.nlm.nih.gov/pubmed/23969391", "https://www.wikidata.org/entity/Q51170597"]}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "title": "Compare and Contrast : Learning Prominent Differences in Relative Attributes by", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a6b/ba2e81d5fb3c0fd0e6b757cf50ba7bf8e924.pdf"], "doi": []}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"], "doi": []}, {"id": "9806d3dc7805dd8c9c20d7222c915fc4beee7099", "title": "Self-Stimulatory Behaviours in the Wild for Autism Diagnosis", "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Rajagopalan_Dhall_Goecke_ICCV2013_DSCSI_Self-StimulatoryBehavioursInTheWildForAutismDiagnosis.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W22/papers/Rajagopalan_Self-Stimulatory_Behaviours_in_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755972"]}, {"id": "c610101667a93d0beed6376dc8e53cdbab6f3674", "title": "Improving Deep Representation Learning with Complex and Multimodal Data.", "year": "2015", "pdf": [], "doi": []}, {"id": "b108c2a80744fc1463f9cf30ecfff79cd5d370e5", "title": "Principal Local Binary Patterns for Face Representation and Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977492"]}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "056d1637fac0510146431a03d81de1cbf1147d65", "title": "UHDB11 Database for 3D-2D Face Recognition", "year": "2013", "pdf": ["http://cbl.uh.edu/pub_files/uhdb11-database-for-3d-2d-face-recognition.pdf", "http://web.mit.edu/gevang/www/papers/TodericiEvangelopoulos_UHDB11_PSIVT13/TodericiEvangelopoulos_UHDB11_PSIVT13.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-53842-1_7"]}, {"id": "7c2a6b27dd756fe851954e0c040bc87bbd39f098", "title": "Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w39/Xu_Using_Psychophysical_Methods_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575433", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00266", "http://doi.org/10.1109/CVPRW.2018.00266"]}, {"id": "33548dec33abfc66bba40ac3f9651c0605d6b537", "title": "CMML : a New Metric Learning Approach for Cross Modal Matching", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3354/8dec33abfc66bba40ac3f9651c0605d6b537.pdf"], "doi": []}, {"id": "6976326c1b8706cd93620560e46dd7d3d7c15d26", "title": "Full ranking as local descriptor for visual recognition: A comparison of distance metrics on sn", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2014.10.010", "https://www.wikidata.org/entity/Q56814213"]}, {"id": "6b6493551017819a3d1f12bbf922a8a8c8cc2a03", "title": "Pose Normalization for Local Appearance-Based Face Recognition", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6b64/93551017819a3d1f12bbf922a8a8c8cc2a03.pdf"], "doi": []}, {"id": "19296e129c70b332a8c0a67af8990f2f4d4f44d1", "title": "Is that you? Metric learning approaches for face identification", "year": "2009", "pdf": ["http://lear.inrialpes.fr/pubs/2009/GVS09/GVS09.pdf", "http://lear.inrialpes.fr/pubs/2009/GVS09/supplmat.pdf", "https://hal.inria.fr/inria-00439290/file/verbeek09iccv2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459197", "http://doi.org/10.1109/ICCV.2009.5459197"]}, {"id": "6f6ce988a13ac08071a0e3349f80b7c8adc7a49d", "title": "A detailed survey on 2D and 3D still face and face video databases part II", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6950080"]}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "66d490c95ac100cedd2a0886a0a5510267e042f7", "title": "With one look: 3D face shape estimation from a single snapshot", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552934", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552934", "http://doi.org/10.1109/ICME.2016.7552934"]}, {"id": "dd3b83ce1b52203afd05b15c660ec6e19580299e", "title": "Head pose estimation using improved label distribution learning with fewer annotations", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-019-7284-2"]}, {"id": "b0b8757e6b327180824f01514cfb81b1e2823550", "title": "Robust Feature Set Matching for Partial Face Recognition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751184"]}, {"id": "0dfd713c72d1f64c74c25c68bbb2616c701a878a", "title": "Local Regularization for Multiclass Classification Facing Significant Intraclass Variations", "year": "2008", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/localreg.pdf"], "doi": ["https://doi.org/10.1007/978-3-540-88693-8_55"]}, {"id": "903cae123665d885aa82b7590db0d323630d8d88", "title": "Distance metric learning for image and webpage comparison. (Apprentissage de distance pour la comparaison d'images et de pages Web)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/903c/ae123665d885aa82b7590db0d323630d8d88.pdf"], "doi": []}, {"id": "c81ee278d27423fd16c1a114dcae486687ee27ff", "title": "Search Based Face Annotation Using Weakly Labeled Facial Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c81e/e278d27423fd16c1a114dcae486687ee27ff.pdf"], "doi": []}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "a34d75da87525d1192bda240b7675349ee85c123", "title": "Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.04690.pdf"], "doi": []}, {"id": "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "title": "Facial Action Units Detection with Multi-Features and -AUs Fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961833", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.110", "http://doi.org/10.1109/FG.2017.110"]}, {"id": "5ec94adc9e0f282597f943ea9f4502a2a34ecfc2", "title": "Leveraging the Power of Gabor Phase for Face Identification: A Block Matching Approach", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04655.pdf"], "doi": []}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "1287bfe73e381cc8042ac0cc27868ae086e1ce3b", "title": "Computational Mid-Level Vision: From Border Ownership to Categorical Object Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1287/bfe73e381cc8042ac0cc27868ae086e1ce3b.pdf"], "doi": []}, {"id": "2d294c58b2afb529b26c49d3c92293431f5f98d0", "title": "Maximum Margin Projection Subspace Learning for Visual Data Analysis", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/mmpp_journal.pdf", "http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2014/Nikitidis_2014_Maximum_TIP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6879493", "http://doi.org/10.1109/TIP.2014.2348868", "https://www.ncbi.nlm.nih.gov/pubmed/25148664", "https://www.wikidata.org/entity/Q30844297"]}, {"id": "f4d25431e4022e60c465b3f93abd0dbb08864453", "title": "Learning Structure and Strength of CNN Filters for Small Sample Size Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579072"]}, {"id": "5028c0decfc8dd623c50b102424b93a8e9f2e390", "title": "REVISITING CLASSIFIER TWO-SAMPLE TESTS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5028/c0decfc8dd623c50b102424b93a8e9f2e390.pdf"], "doi": []}, {"id": "77037a22c9b8169930d74d2ce6f50f1a999c1221", "title": "Robust Face Recognition With Kernelized Locality-Sensitive Group Sparsity Representation", "year": "2017", "pdf": ["https://ueaeprints.uea.ac.uk/64308/1/Accepted_manuscript.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7949052", "http://doi.org/10.1109/TIP.2017.2716180", "https://www.ncbi.nlm.nih.gov/pubmed/28641251", "https://www.wikidata.org/entity/Q38713616"]}, {"id": "2c48683c9663ea82fcbbd5891d892a884f1a32d0", "title": "Explore semantic pixel sets based local patterns with information entropy for face recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2c48/683c9663ea82fcbbd5891d892a884f1a32d0.pdf"], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "89272b78b651038ff4d294b9ccca0018d2c9033b", "title": "Low Computation Face Verification Using Class Center Analysis", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977490", "http://doi.org/10.1109/ICPR.2014.777"]}, {"id": "86915632efd021e1dca42f16df36944d08de2fbe", "title": "Face Recognition with Image Misalignment via Structure Constraint Coding", "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop16/pdffiles/w16-p8.pdf", "http://vipl.ict.ac.cn/homepage/accv14his/pdffiles/w16-p8.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16634-6_41"]}, {"id": "789a781eec0cf28d4294c270bbd72f3a21e41dba", "title": "A New Implementation of Deep Neural Networks for Optical Character Recognition and Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/789a/781eec0cf28d4294c270bbd72f3a21e41dba.pdf"], "doi": []}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"], "doi": []}, {"id": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.pdf"], "doi": []}, {"id": "6b35b15ceba2f26cf949f23347ec95bbbf7bed64", "title": "RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor", "year": "2015", "pdf": ["http://lhncbc.nlm.nih.gov/system/files/pub9220.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.06.010", "https://www.wikidata.org/entity/Q58218947"]}, {"id": "0709bf7179cf2478d0aa5c05633dc86ff3645e31", "title": "An Efficient Face Recognition and Retrieval Using LBP and SIFT", "year": "2013", "pdf": [], "doi": []}, {"id": "a937d8d4a25709d1572192fc85c3f12759067ce8", "title": "CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06155.pdf"], "doi": []}, {"id": "2e64682caf77309db573ee439d988233f71e88ad", "title": "Establishing Good Benchmarks and Baselines for Face Recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/2e64/682caf77309db573ee439d988233f71e88ad.pdf"], "doi": []}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "pdf": [], "doi": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "1c46a33da36d47356cd9189a41c55ac9f5d34847", "title": "An Study on Ear Detection and Its Applications to Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1c46/a33da36d47356cd9189a41c55ac9f5d34847.pdf"], "doi": []}, {"id": "524c25217a6f1ed17f47871e947a5581d775fa56", "title": "Fusing global and local features for face verification", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2030875"]}, {"id": "f1d880b7752a5b1c06153a4ff75d31220b0313f7", "title": "Positive and negative label propagation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f1d8/80b7752a5b1c06153a4ff75d31220b0313f7.pdf"], "doi": []}, {"id": "768f6a14a7903099729872e0db231ea814eb05e9", "title": "De-Mark GAN: Removing Dense Watermark with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411205", "http://doi.org/10.1109/ICB2018.2018.00021"]}, {"id": "b1290dff343ae4980e3e853055ad9a5b9116238b", "title": "Gender Classification Based on Fusion of Different Spatial Scale Features Selected by Mutual Information From Histogram of LBP, Intensity, and Shape", "year": "2013", "pdf": ["http://www.cec.uchile.cl/~clperez/papers/Gender%20Classification%20Based%20on%20Fusion%20of%20Different%20Spatial%20Scale%20Features%20Selected%20by%20Mutual%20Information%20From%20Histogram%20of%20LBP,%20Intensity,%20and%20Shape%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6418022", "http://doi.org/10.1109/TIFS.2013.2242063"]}, {"id": "8e33183a0ed7141aa4fa9d87ef3be334727c76c0", "title": "Robustness of Face Recognition to Image Manipulations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8e33/183a0ed7141aa4fa9d87ef3be334727c76c0.pdf"], "doi": []}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903705", "http://doi.org/10.1109/TPAMI.2017.2695183", "https://www.ncbi.nlm.nih.gov/pubmed/28436844", "https://www.wikidata.org/entity/Q47874946"]}, {"id": "6eba25166fe461dc388805cc2452d49f5d1cdadd", "title": "ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6eba/25166fe461dc388805cc2452d49f5d1cdadd.pdf"], "doi": []}, {"id": "108b2581e07c6b7ca235717c749d45a1fa15bb24", "title": "Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose", "year": "2009", "pdf": ["http://www.cs.umd.edu/~carlos/pami09.pdf", "http://www.cs.umd.edu/~djacobs/pubs_files/TPAMI_Proofs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5010439", "http://doi.org/10.1109/TPAMI.2009.123", "https://www.ncbi.nlm.nih.gov/pubmed/19834149", "https://www.wikidata.org/entity/Q44088711"]}, {"id": "de390a143720e697bc71c3727633b155bf25a2c1", "title": "High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/de39/0a143720e697bc71c3727633b155bf25a2c1.pdf"], "doi": []}, {"id": "0c069a870367b54dd06d0da63b1e3a900a257298", "title": "Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs", "year": "2011", "pdf": ["https://arxiv.org/pdf/1107.3823.pdf"], "doi": []}, {"id": "7d0cb85f9f63afc23ce42b92337b12ef91fc091e", "title": "Discriminative transfer learning for single-sample face recognition", "year": "2015", "pdf": ["http://hujunlin.cn/papers/DTL_ICB15.pdf", "https://pdfs.semanticscholar.org/7d0c/b85f9f63afc23ce42b92337b12ef91fc091e.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139095", "http://doi.org/10.1109/ICB.2015.7139095"]}, {"id": "256ef291cd320d39163d3b438010256a3c40c40c", "title": "Multi-feature multi-manifold learning for single-sample face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.06.012"]}, {"id": "3958db5769c927cfc2a9e4d1ee33ecfba86fe054", "title": "Describable Visual Attributes for Face Verification and Image Search", "year": "2011", "pdf": ["http://acberg.com/papers/berg_face_attributes_pami.pdf", "http://acberg.com/papers/faceattrs_pami_submission_1.pdf", "http://neerajkumar.org/publications/base/papers/nk_pami2011_faceattrs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5728825", "http://doi.org/10.1109/TPAMI.2011.48", "https://www.ncbi.nlm.nih.gov/pubmed/21383395", "https://www.wikidata.org/entity/Q34169148"]}, {"id": "59a35b63cf845ebf0ba31c290423e24eb822d245", "title": "The FaceSketchID System: Matching Facial Composites to Mugshots", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TechReport_MSU-CSE-14-6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6912947", "http://doi.org/10.1109/TIFS.2014.2360825"]}, {"id": "dfa53c8a4d66ab6219d6f00219ca7ed3909832fd", "title": "Probabilistic Neural Network with Complex Exponential Activation Functions in Image Recognition using Deep Learning Framework", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02733.pdf"], "doi": []}, {"id": "f1280f76933ba8b7f4a6b8662580504f02bb4ab6", "title": "Gender Classification by Deep Learning on Millions of Weakly Labelled Images", "year": "2016", "pdf": ["https://research-information.bristol.ac.uk/files/90114160/Sen_Jia_Gender_Classification_by_Deep_Learning_on_Millions_of_Weakly_Labelled_Images.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7836703", "http://doi.org/10.1109/ICDMW.2016.0072"]}, {"id": "7079c51423ff61a18692da993ce3113451bf262a", "title": "Face recognition in unconstrained images and videos", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7079/c51423ff61a18692da993ce3113451bf262a.pdf"], "doi": []}, {"id": "9ebf00558968a7ca6e130b61e70bbe2e24706da4", "title": "Ongoing face recognition vendor test (FRVT) part 2:: identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5cfe/f7aedc2651d7754911a7a5cf9ee4edbe876a.pdf"], "doi": []}, {"id": "585efe3c8efd1a4fa2ed8221c278997521668bc1", "title": "Recognizing Face Images with Disguise Variations", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/c10c/ad9353c366e81518fff06350242b7e16f970.pdf"], "doi": []}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "e908ce44fa94bb7ecf2a8b70cb5ec0b1a00b311a", "title": "Topology preserving graph matching for partial face recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019548", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019548", "http://doi.org/10.1109/ICME.2017.8019548"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "7804949c133d7308d828a94a7944d47c1f0ffe67", "title": "Detection of Deep Network Generated Images Using Disparities in Color Components", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07276.pdf"], "doi": []}, {"id": "20a3ce81e7ddc1a121f4b13e439c4cbfb01adfba", "title": "Sparse-MVRVMs Tree for Fast and Accurate Head Pose Estimation in the Wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e805/bc872e18277c7cbfce82206cf1667cce22cc.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "5dc056fe911a3e34a932513abe637076250d96da", "title": "Real-time facial feature detection using conditional regression forests", "year": "2012", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_facialfeatures_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247976", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247976", "http://doi.org/10.1109/CVPR.2012.6247976"]}, {"id": "3e18b439a6fff09a0e4c245eb1298531cc766a72", "title": "Semi-automatic Face Image Finding Method , Which Uses the 3 D Model of the Head for Recognising an Unknown Face", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e18/b439a6fff09a0e4c245eb1298531cc766a72.pdf"], "doi": []}, {"id": "3b2697d76f035304bfeb57f6a682224c87645065", "title": "ImageNet Large Scale Visual Recognition Challenge", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.0575.pdf"], "doi": []}, {"id": "b40290a694075868e0daef77303f2c4ca1c43269", "title": "Combining Local and Global Information for Hair Shape Modeling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b402/90a694075868e0daef77303f2c4ca1c43269.pdf"], "doi": []}, {"id": "fdaf65b314faee97220162980e76dbc8f32db9d6", "title": "Face recognition using both visible light image and near-infrared image and a deep network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fdaf/65b314faee97220162980e76dbc8f32db9d6.pdf"], "doi": []}, {"id": "55a158f4e7c38fe281d06ae45eb456e05516af50", "title": "Simile Classifiers for Face Classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/55a1/58f4e7c38fe281d06ae45eb456e05516af50.pdf"], "doi": []}, {"id": "6e3a181bf388dd503c83dc324561701b19d37df1", "title": "Finding a low-rank basis in a matrix subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1503.08601.pdf"], "doi": []}, {"id": "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "title": "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02952.pdf"], "doi": []}, {"id": "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579001"]}, {"id": "e4df98e4b45a598661a47a0a8900065716dafd6d", "title": "Weakly Supervised Object Class Learning Via Discriminative Subspace Models", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7396808", "http://doi.ieeecomputersociety.org/10.1109/WI-IAT.2015.219", "http://doi.org/10.1109/WI-IAT.2015.219"]}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "62d1a31b8acd2141d3a994f2d2ec7a3baf0e6dc4", "title": "Noise-resistant network: a deep-learning method for face recognition under noise", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/62d1/a31b8acd2141d3a994f2d2ec7a3baf0e6dc4.pdf"], "doi": []}, {"id": "5e6ba16cddd1797853d8898de52c1f1f44a73279", "title": "Face Identification with Second-Order Pooling", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6818.pdf"], "doi": []}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "c0230b49a8576aa83805bcdf5efcafb38efd8482", "title": "Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29993977", "https://doi.org/10.1109/TPAMI.2018.2824309"]}, {"id": "6a69e245fc5d615a849518d6f6ef320b46545672", "title": "Online learning in biometrics: A case study in face classifier update", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5339071"]}, {"id": "9854145f2f64d52aac23c0301f4bb6657e32e562", "title": "An Improved Face Verification Approach Based on Speedup Robust Features and Pairwise Matching", "year": "2013", "pdf": ["http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/technical/114953_2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6656208", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2013.57", "http://doi.org/10.1109/SIBGRAPI.2013.57"]}, {"id": "d340a135a55ecf7506010e153d5f23155dcfa7e8", "title": "MAVI: An Embedded Device to Assist Mobility of Visually Impaired", "year": "2017", "pdf": ["http://www.cse.iitd.ernet.in/~chetan/papers/mavi-vlsid2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7884781", "http://doi.ieeecomputersociety.org/10.1109/VLSID.2017.38", "http://doi.org/10.1109/VLSID.2017.38"]}, {"id": "9d839dfc9b6a274e7c193039dfa7166d3c07040b", "title": "Augmented faces", "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00869.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130218", "http://cgit.nutn.edu.tw:8080/cgit/PaperDL/LZJ_120522184630.PDF", "http://doi.org/10.1109/ICCVW.2011.6130218"]}, {"id": "1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f", "title": "Implementation of Partial Face Recognition using Directional Binary Code", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a6c/3c37c2e62b21ebc0f3533686dde4d0103b3f.pdf"], "doi": []}, {"id": "a38808d5295350132d0e0b3031837310511f1e1d", "title": "Separable Dictionary Learning", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618907"]}, {"id": "021e008282714eaefc0796303f521c9e4f199d7e", "title": "NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354319", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00215", "http://doi.org/10.1109/WACV.2018.00215"]}, {"id": "dd600e7d6e4443ebe87ab864d62e2f4316431293", "title": "Improving facial expression analysis using histograms of Log-Transformed Nonnegative Sparse Representation with a Spatial Pyramid Structure", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553774.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553774", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553774", "http://doi.org/10.1109/FG.2013.6553774"]}, {"id": "66886997988358847615375ba7d6e9eb0f1bb27f", "title": "Prototype-Based Discriminative Feature Learning for Kinship Verification", "year": "2015", "pdf": ["http://www.kinfacew.com/papers/PDFL_TCYB15.pdf", "https://pdfs.semanticscholar.org/6688/6997988358847615375ba7d6e9eb0f1bb27f.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981937", "http://doi.org/10.1109/TCYB.2014.2376934", "https://www.ncbi.nlm.nih.gov/pubmed/25532145", "https://www.wikidata.org/entity/Q50612520"]}, {"id": "dbe255d3d2a5d960daaaba71cb0da292e0af36a7", "title": "Evolutionary Cost-Sensitive Extreme Learning Machine", "year": "2017", "pdf": ["https://arxiv.org/pdf/1505.04373.pdf"], "doi": []}, {"id": "bcc5cbbb540ee66dc8b9a3453b506e895d8395de", "title": "Joint Estimation of Pose and Face Landmark", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8ba/5cddae817c30de79a804eaf16024610c1e4f.pdf"], "doi": []}, {"id": "439ec47725ae4a3660e509d32828599a495559bf", "title": "Facial Expressions Tracking and Recognition : Database Protocols for Systems Validation and Evaluation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/439e/c47725ae4a3660e509d32828599a495559bf.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"id": "191674c64f89c1b5cba19732869aa48c38698c84", "title": "FACE IMAGE RETRIEVAL USING ATTRIBUTE-ENHANCED SPARSE CODEWORDS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1916/74c64f89c1b5cba19732869aa48c38698c84.pdf"], "doi": []}, {"id": "6b8329730b2e13178a577b878631735a1cd58a71", "title": "A Real-Time Big Data Architecture for Glasses Detection Using Computer Vision Techniques", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7300872", "http://doi.ieeecomputersociety.org/10.1109/FiCloud.2015.78", "http://doi.org/10.1109/FiCloud.2015.78"]}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "e3a3a6c1f4802ea1cd0c34d0b34e4c83689895ac", "title": "An Effective Unconstrained Correlation Filter and Its Kernelization for Face Recognition", "year": "2013", "pdf": ["https://arxiv.org/pdf/1603.07800.pdf"], "doi": []}, {"id": "48d67280368d7efdc3893d286290a85a00070918", "title": "A comparison of PCA , KPCA and ICA for dimentionality reduction", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/48d6/7280368d7efdc3893d286290a85a00070918.pdf"], "doi": []}, {"id": "0ee661a1b6bbfadb5a482ec643573de53a9adf5e", "title": "On the Use of Discriminative Cohort Score Normalization for Unconstrained Face Recognition", "year": "2014", "pdf": ["http://epubs.surrey.ac.uk/812523/1/yunlian_TIFS2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918523", "http://doi.org/10.1109/TIFS.2014.2362007"]}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "2f13dd8c82f8efb25057de1517746373e05b04c4", "title": "Evaluation of state-of-the-art algorithms for remote face recognition", "year": "2010", "pdf": ["http://www.cfar.umd.edu/~rama/Publications/Ni_ICIP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5652608", "http://doi.org/10.1109/ICIP.2010.5652608"]}, {"id": "c1178a5e02338270c18d3a80e40e3d03c165586b", "title": "Grassmann Learning for Recognition and Classification", "year": "2014", "pdf": [], "doi": []}, {"id": "87e5b4d95f95a0975e855cf5ad402db7a3c64ff5", "title": "Local Novelty Detection in Multi-class Recognition Problems", "year": "2015", "pdf": ["http://hera.inf-cv.uni-jena.de:6680/pdf/Bodesheim15:LND", "http://www.researchgate.net/profile/Paul_Bodesheim/publication/269314560_Local_Novelty_Detection_in_Multi-class_Recognition_Problems/links/5486c2420cf289302e2c35eb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045967", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.113", "http://doi.org/10.1109/WACV.2015.113"]}, {"id": "4d0ef449de476631a8d107c8ec225628a67c87f9", "title": "Face system evaluation toolkit: Recognition is harder than it seems", "year": "2010", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2010b_photohead.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634517", "http://doi.org/10.1109/BTAS.2010.5634517"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "c8db8764f9d8f5d44e739bbcb663fbfc0a40fb3d", "title": "Modeling for part-based visual object detection based on local features", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c8db/8764f9d8f5d44e739bbcb663fbfc0a40fb3d.pdf"], "doi": []}, {"id": "39b4b48aeb1deca67390718735511f2fb5d71c5e", "title": "Stereo Matching for Unconstrained Face Recognition Ph.D. Proposal", "year": "2009", "pdf": [], "doi": []}, {"id": "cc4dead2a6dde99c477bd52000bfcfe9589e7425", "title": "Design and analysis of a new illumination invariant human face recognition system", "year": "2012", "pdf": [], "doi": []}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "1d3733e1a4b9d3e5b95fb7cc135a0819cba90c22", "title": "Linear subspace methods in face recognition", "year": "2011", "pdf": ["http://eprints.nottingham.ac.uk/12330/1/thesis_final.pdf"], "doi": ["http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548966"]}, {"id": "ac12a36330248eaddadd3e6e75b909e023c7674a", "title": "Towards generic image classification using tree-based learning: An extensive empirical study", "year": "2016", "pdf": ["https://orbi.uliege.be/bitstream/2268/191267/1/maree-prletters2016_accepted.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2016.01.006"]}, {"id": "988d1295ec32ce41d06e7cf928f14a3ee079a11e", "title": "Semantic Deep Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/988d/1295ec32ce41d06e7cf928f14a3ee079a11e.pdf"], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "57b8e6db0002660f03c4d93174a05a6d525fa755", "title": "Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575381"]}, {"id": "1e2d9ea6fe9c50a5c26a629b94446250e1be4e7d", "title": "The Freiburg Groceries Dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05799.pdf"], "doi": []}, {"id": "424259e9e917c037208125ccc1a02f8276afb667", "title": "Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06433.pdf"], "doi": []}, {"id": "f33bd953d2df0a5305fc8a93a37ff754459a906c", "title": "Deformable Models of Ears in-the-Wild for Alignment and Recognition", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2017earrecognitioninthewild.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961800", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.79", "http://doi.org/10.1109/FG.2017.79"]}, {"id": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "7a2f315c4ac99091724aa7d3f22f0128a35228dc", "title": "Speeding up and augmenting mobile device applications using actors and cloud computing", "year": "2014", "pdf": [], "doi": []}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "4af89578ac237278be310f7660a408b03f12d603", "title": "Large-scale geo-facial image analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf"], "doi": []}, {"id": "26727dc7347e3338d22e8cf6092e3a3c7568d763", "title": "Discriminative low-rank metric learning for face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163088", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163088", "http://doi.org/10.1109/FG.2015.7163088"]}, {"id": "24977d59a5de4eb597347bef00f0c097a641a8dd", "title": "Random projection-based partial feature extraction for robust face recognition", "year": "2015", "pdf": ["http://matlabproject.ir/forms/files/836464.pdf", "https://pdfs.semanticscholar.org/2497/7d59a5de4eb597347bef00f0c097a641a8dd.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2014.09.004"]}, {"id": "4df34e0194faa27078832cb5078a2af6c9d0ea9b", "title": "Saliency Prediction in the Deep Learning Era: An Empirical Investigation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03716.pdf"], "doi": []}, {"id": "9d29ad7576f5ba1622aea3ec3eb14d869015a73f", "title": "An In-depth Examination of Local Binary Descriptors in Unconstrained Face Recognition", "year": "2014", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/icpr2014.pdf", "https://users.aalto.fi/~kannalj1/publications/icpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977478", "http://doi.org/10.1109/ICPR.2014.765"]}, {"id": "3965d61c4f3b72044f43609c808f8760af8781a2", "title": "Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01121.pdf"], "doi": []}, {"id": "b5c30099791a909b87c736bfc269b347544a859c", "title": "Recognizing Surgically Altered Face Images", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b5c3/0099791a909b87c736bfc269b347544a859c.pdf"], "doi": []}, {"id": "5e5e11e143140cc376db466d5b096a54b900c2ba", "title": "Face Recognition in Uncontrolled Environment", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5e5e/11e143140cc376db466d5b096a54b900c2ba.pdf"], "doi": []}, {"id": "244d6cd74b690a5989b19f3eb0e8bbdfc48b11e3", "title": "Shared representation learning for heterogenous face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163093"]}, {"id": "e64b683e32525643a9ddb6b6af8b0472ef5b6a37", "title": "Face Recognition and Retrieval in Video", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/e64b/683e32525643a9ddb6b6af8b0472ef5b6a37.pdf"], "doi": []}, {"id": "21e828071249d25e2edaca0596e27dcd63237346", "title": "Scalable Face Image Retrieval with Identity-Based Quantization and Multireference Reranking", "year": "2010", "pdf": ["http://research.microsoft.com/en-us/um/people/jiansun/papers/cvpr10_facesearch.pdf", "http://research.microsoft.com/pubs/155719/face-pami.pdf", "http://www.jiansun.org/papers/CVPR10_FaceSearch.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2010/06/cvpr2010.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2011/10/face-pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871641", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2011.111", "http://doi.org/10.1109/TPAMI.2011.111", "https://www.ncbi.nlm.nih.gov/pubmed/21646678"]}, {"id": "7aa062c6c90dba866273f5edd413075b90077b51", "title": "Minimizing Separability : A Comparative Analysis of Illumination Compensation Techniques in Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7aa0/62c6c90dba866273f5edd413075b90077b51.pdf"], "doi": []}, {"id": "a03cfd5c0059825c87d51f5dbf12f8a76fe9ff60", "title": "Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning", "year": "2008", "pdf": [], "doi": []}, {"id": "845f45f8412905137bf4e46a0d434f5856cd3aec", "title": "The Spyware Used in Intimate Partner Violence", "year": "2018", "pdf": ["https://rist.tech.cornell.edu/papers/spyware.pdf", "https://www.cs.cornell.edu/~rahul/papers/IPV_Spyware.pdf", "https://www.cs.cornell.edu/~rahul/ppts/IPV_spyware.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418618", "http://doi.ieeecomputersociety.org/10.1109/SP.2018.00061", "http://doi.org/10.1109/SP.2018.00061"]}, {"id": "9649a19b49607459cef32f43db4f6e6727080bdb", "title": "Offset Neural Network for Document Orientation Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395207", "http://doi.ieeecomputersociety.org/10.1109/DAS.2018.12", "http://doi.org/10.1109/DAS.2018.12"]}, {"id": "e1cc833f301c42579392f21335b70d0216b03ab4", "title": "Robust local features for remote face recognition", "year": "2017", "pdf": ["http://www.ee.oulu.fi/~jiechen/paper/IVC2017-Robust%20Local%20Features%20for%20Remote%20Face%20Recognition.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.05.006"]}, {"id": "b6259115b819424de53bb92f64cc459dcb649f31", "title": "Learning Feature Representation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078466", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078466", "http://doi.org/10.1109/AVSS.2017.8078466"]}, {"id": "8166edc1352eeef54f6d861b93673c36d67927e8", "title": "Recognizing People in Motion", "year": "2016", "pdf": ["http://egozi.tau.ac.il/gylab/wp-content/uploads/2016/05/1-s2.0-S1364661316000462-main-3.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S1364661316000462?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.tics.2016.02.005", "https://www.ncbi.nlm.nih.gov/pubmed/27016844"]}, {"id": "9b2c813a94cee031325b3e76e20db7072063549f", "title": "A scalable and flexible framework for smart video surveillance", "year": "2016", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2016/11/paper_2016_CVIU.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.10.014"]}, {"id": "cce261b47bbeec42cf4036e89e2413e25f66ce61", "title": "Gender recognition from facial images : 2 D or 3 D ?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cce2/61b47bbeec42cf4036e89e2413e25f66ce61.pdf"], "doi": []}, {"id": "5f5164cf998a10d2bef37741adb562ab07fac413", "title": "A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs", "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/wuHWWTtpami16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7439821", "http://doi.org/10.1109/TPAMI.2016.2545669", "https://www.ncbi.nlm.nih.gov/pubmed/28113278", "https://www.wikidata.org/entity/Q39005289"]}, {"id": "d3b38fbaee4404e31186d9db98ecac74f48a433a", "title": "Batch image alignment via subspace recovery based on alternative sparsity pursuit", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s41095-017-0080-x"]}, {"id": "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "title": "PCANet: A Simple Deep Learning Baseline for Image Classification?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1404.3606.pdf"], "doi": []}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "c697590ddd71232174072c9680adbc7a0b30c84c", "title": "Face retrieval using frequency decoded local descriptor", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.06508.pdf"], "doi": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "5ce80b41443518a14d800f6b93b4057bbb007432", "title": "Benchmarking Intelligence Processors", "year": "2017", "pdf": [], "doi": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.07.007", "https://doi.org/10.1016/j.cviu.2015.07.007"]}, {"id": "634541661d976c4b82d590ef6d1f3457d2857b19", "title": "Advanced Techniques for Face Recognition under Challenging Environments", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6345/41661d976c4b82d590ef6d1f3457d2857b19.pdf"], "doi": []}, {"id": "656a5d4d84c450792402b3c69eecbdbca4cad4cb", "title": "2.1. Imagenet and Related Datasets", "year": "", "pdf": ["https://pdfs.semanticscholar.org/656a/5d4d84c450792402b3c69eecbdbca4cad4cb.pdf"], "doi": []}, {"id": "97eabf253570f1fda79a0e217a7bbdb5aec871da", "title": "Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10895.pdf"], "doi": []}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "e0eb1d66f244456063409264ed795d9893565011", "title": "Inhibited Softmax for Uncertainty Estimation in Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.01861.pdf"], "doi": []}, {"id": "9b000ccc04a2605f6aab867097ebf7001a52b459", "title": "PCANet: An energy perspective", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.00944.pdf"], "doi": []}, {"id": "155205b8e288fd49bf203135871d66de879c8c04", "title": "Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02640.pdf"], "doi": []}, {"id": "cd66a1d08db3d56c91156797659b96dce8aa015f", "title": "Adaptive Locality Preserving Regression", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.00563.pdf"], "doi": []}, {"id": "1a2431e3b35a4a4794dc38ef16e9eec2996114a1", "title": "Automated Face Recognition: Challenges and Solutions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a24/31e3b35a4a4794dc38ef16e9eec2996114a1.pdf"], "doi": []}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "fb228b214e28af26f77cc1195d03c9d851b78ec6", "title": "Facial asymmetry versus facial makeup", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301753"]}, {"id": "532200db4f95055a47e16c2e2095edf063f42d6f", "title": "Implementation of Robust Face Recognition System Using Live Video Feed Based on CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07339.pdf"], "doi": []}, {"id": "8377ac1b2dffb11cf48f456be2531c95d14aa6e5", "title": "Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11674.pdf"], "doi": []}, {"id": "a089812eefb777ac6d17cf886a0bf2b1f89ba505", "title": "DEVELOPMENT OF A COMPUTER SYSTEM FOR IDENTITY AUTHENTICATION USING ARTIFICIAL NEURAL NETWORKS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a089/812eefb777ac6d17cf886a0bf2b1f89ba505.pdf"], "doi": []}, {"id": "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "title": "Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441009", "http://doi.org/10.1109/SACI.2018.8441009", "https://doi.org/10.1109/SACI.2018.8441009"]}, {"id": "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "title": "Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S1060992X17020102"]}, {"id": "e49372992c31412f55579397e615610748b6e6c9", "title": "Online Robust Image Alignment via Subspace Learning from Gradient Orientations", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Online_Robust_Image_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Zheng_Online_Robust_Image_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237457", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.195", "http://doi.org/10.1109/ICCV.2017.195"]}, {"id": "de0eb358b890d92e8f67592c6e23f0e3b2ba3f66", "title": "Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.01587.pdf"], "doi": []}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545308"]}, {"id": "b5d14fee9658877abbbfa760dd9765db0af86ba6", "title": "Swarm intelligence and evolutionary computation approaches for 2 D face recognition : a systematic review", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b5d1/4fee9658877abbbfa760dd9765db0af86ba6.pdf"], "doi": []}, {"id": "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "title": "Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581e/920ddb6ecfc2a313a3aa6fed3d933b917ab0.pdf"], "doi": []}, {"id": "d487142a7b8c84cb47129d91d5837345ccaa88eb", "title": "Face recognition using extended LBP features and multilevel SVM classifier", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8284596"]}, {"id": "ec27b3d1548909d3f55246a388d768cf51e65802", "title": "Face Mask Extraction in Video Sequence", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09207.pdf"], "doi": []}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "5f62cad6d777d1b621af07c4146e615f7ebacc7d", "title": "Analysis of Keystroke Dynamics for the Generation of Synthetic Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8590063"]}, {"id": "f16d6152e23b032f59eb794fac2d272daa859a79", "title": "A Face Recognition System Based on Local Binary Patterns and Support Vector Machine for Home Security Service Robot", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830848"]}, {"id": "04bb3fa0824d255b01e9db4946ead9f856cc0b59", "title": "Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.07972.pdf"], "doi": []}, {"id": "0d5c01814f64f3be401efa4f6495d2677c16a8d8", "title": "Building an intelligent video and image analysis evaluation platform for public security", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078472", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078472", "http://doi.org/10.1109/AVSS.2017.8078472"]}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "05db8e3a342f8f239203c24d496e809a65ca7f73", "title": "Learning Diverse Image Colorization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01958.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "a40f8881a36bc01f3ae356b3e57eac84e989eef0", "title": "End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03305.pdf"], "doi": []}, {"id": "c1f05b723e53ac4eb1133249b445c0011d42ca79", "title": "Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1162/neco_a_00990", "https://www.wikidata.org/entity/Q38733939"]}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "13831e47759e11f8cc6c77fa64ad34272b409b34", "title": "Compressing deep neural networks for efficient visual inference", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019465", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019465", "http://doi.org/10.1109/ICME.2017.8019465"]}, {"id": "5a1255d65e8309131638b3eb94aad5c52ab3629a", "title": "Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5a12/55d65e8309131638b3eb94aad5c52ab3629a.pdf"], "doi": []}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "0ee737085af468f264f57f052ea9b9b1f58d7222", "title": "SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08370.pdf"], "doi": []}, {"id": "fab60b3db164327be8588bce6ce5e45d5b882db6", "title": "Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fab6/0b3db164327be8588bce6ce5e45d5b882db6.pdf"], "doi": []}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.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": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "5e3eacfae3009616456e7c038597eaa50ad049ca", "title": "Computer face-matching technology using two-dimensional photographs accurately matches the facial gestalt of unrelated individuals with the same syndromic form of intellectual disability", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea3/e84ab58ef37dc506ca4ef8b25edb4b170efd.pdf"], "doi": []}, {"id": "9b1c218a55ead45296bfd7ad315aaeff1ae9983e", "title": "Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274747", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2481396", "http://doi.org/10.1109/TPAMI.2015.2481396", "https://www.ncbi.nlm.nih.gov/pubmed/26415152"]}, {"id": "bcc172a1051be261afacdd5313619881cbe0f676", "title": "A fast face clustering method for indexing applications on mobile phones", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002197.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952546", "http://doi.org/10.1109/ICASSP.2017.7952546"]}, {"id": "02601d184d79742c7cd0c0ed80e846d95def052e", "title": "Graphical Representation for Heterogeneous Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1503.00488.pdf"], "doi": []}, {"id": "0e5dad0fe99aed6978c6c6c95dc49c6dca601e6a", "title": "LATCH: Learned arrangements of three patch codes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1501.03719.pdf"], "doi": []}, {"id": "46c3b9386d63b483dc113592f587b74168d30eea", "title": "Manifesto from Dagstuhl Perspectives Workshop 12382 Computation and Palaeography : Potentials and Limits \u2217", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/46c3/b9386d63b483dc113592f587b74168d30eea.pdf"], "doi": []}, {"id": "b747fcad32484dfbe29530a15776d0df5688a7db", "title": "Background suppressing Gabor energy filtering", "year": "2015", "pdf": ["http://www.cs.csub.edu/~acruz/papers/10.1016-j.patrec.2014.10.001.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.10.001"]}, {"id": "205b34b6035aa7b23d89f1aed2850b1d3780de35", "title": "Log-domain polynomial filters for illumination-robust face recognition", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p504-jiang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6853647", "http://doi.org/10.1109/ICASSP.2014.6853647"]}, {"id": "5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0", "title": "Reference Face Graph for Face Recognition", "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/ReferenceFaceGraphforFaceRecognition14.pdf", "http://www.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://www.ee.ucr.edu/~lan/papers/AnTIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905824", "http://doi.org/10.1109/TIFS.2014.2359548"]}, {"id": "5d2a9519b5d421a58dbb02b0b836f04ab396525d", "title": "Uncorrelated regularized local Fisher discriminant analysis for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.23.4.043017"]}, {"id": "7918698ffa86cdd6123bc2f1f613be1ab38c0d2f", "title": "Learning to Recognize Faces in Realistic Conditions", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7918/698ffa86cdd6123bc2f1f613be1ab38c0d2f.pdf"], "doi": []}, {"id": "d78077a7aa8a302d4a6a09fb9737ab489ae169a6", "title": "Robust Face Recognition with Structural Binary Gradient Patterns", "year": "2017", "pdf": ["https://arxiv.org/pdf/1506.00481.pdf"], "doi": []}, {"id": "83d50257eb4c0aa8d16d27bf2ee8d0614fd63bf6", "title": "A multi-perspective holistic approach to Kinship Verification in the Wild", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284834", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284834", "http://doi.org/10.1109/FG.2015.7284834"]}, {"id": "28b5b5f20ad584e560cd9fb4d81b0a22279b2e7b", "title": "A New Fuzzy Stacked Generalization Technique and Analysis of its Performance", "year": "2012", "pdf": ["https://arxiv.org/pdf/1204.0171.pdf"], "doi": []}, {"id": "a14ae81609d09fed217aa12a4df9466553db4859", "title": "Face Identification Using Large Feature Sets", "year": "2012", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2011_TIP.pdf", "http://www.umiacs.umd.edu/~jhchoi/paper/tip12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6086621", "http://doi.org/10.1109/TIP.2011.2176951", "https://www.ncbi.nlm.nih.gov/pubmed/22128005", "https://www.wikidata.org/entity/Q34086406"]}, {"id": "430c4d7ad76e51d83bbd7ec9d3f856043f054915", "title": "Two decades of local binary patterns: A survey", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.06795.pdf"], "doi": []}, {"id": "a8117a4733cce9148c35fb6888962f665ae65b1e", "title": "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00438.pdf"], "doi": []}, {"id": "a324d61c79fe2e240e080f0dab358aa72dd002b3", "title": "Adaptive noise dictionary construction via IRRPCA for face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.02.005"]}, {"id": "a8e75978a5335fd3deb04572bb6ca43dbfad4738", "title": "Sparse graphical representation based discriminant analysis for heterogeneous face recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1607.00137.pdf"], "doi": []}, {"id": "0fc4d0c328036cc197a48f278f7c15cb12860f3a", "title": "Learning a non-linear combination of Mahalanobis distances using statistical inference for similarity measure", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0011"]}, {"id": "942b89d8d17e89e58c82453de2bfcbbeb09adc81", "title": "Semi-supervised linear discriminant analysis for dimension reduction and classification", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.02.019"]}, {"id": "81831ed8e5b304e9d28d2d8524d952b12b4cbf55", "title": "Discriminative histograms of local dominant orientation (D-HLDO) for biometric image feature extraction", "year": "2013", "pdf": ["http://www.ai.rug.nl/~sheng/subsection/hldo.pdf", "https://pdfs.semanticscholar.org/8183/1ed8e5b304e9d28d2d8524d952b12b4cbf55.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.03.005"]}, {"id": "1a9337d70a87d0e30966ecd1d7a9b0bbc7be161f", "title": "A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Tapabrata_Chakraborti/publication/262340257_A_novel_binary_adaptive_weight_GSA_based_feature_selection_for_face_recognition_using_local_gradient_patterns_modified_census_transform_and_local_binary_patterns/links/54bf8c600cf2f6bf4e04fab5.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2014.04.006"]}, {"id": "98a660c15c821ea6d49a61c5061cd88e26c18c65", "title": "Face Databases for 2 D and 3 D Facial Recognition : A Survey", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/98a6/60c15c821ea6d49a61c5061cd88e26c18c65.pdf"], "doi": []}, {"id": "34a41ec648d082270697b9ee264f0baf4ffb5c8d", "title": "Integration of multi-feature fusion and dictionary learning for face recognition", "year": "2013", "pdf": ["http://www.cs.zju.edu.cn/people/wangdh/papers/IVC.pdf?doi=10.1016/j.imavis.2013.10.002&domain=f"], "doi": ["http://doi.org/10.1016/j.imavis.2013.10.002"]}, {"id": "bcd4e549928260d247f3ca67659a65ffcd429e98", "title": "On using Additional Unlabeled Data for Improving Dissimilarity-Based Classifications", "year": "2013", "pdf": [], "doi": []}, {"id": "395a91d49e9283e1bf2d61a75c3dc846b347ea74", "title": "On-Demand Virtual Health Counselor for Delivering Behavior-Change Health Interventions", "year": "2013", "pdf": ["http://cake.fiu.edu/Publications/Reza+al-13-OV.On-demand_Virtual_Health.IEEE.downloaded.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6680460", "http://doi.ieeecomputersociety.org/10.1109/ICHI.2013.13", "http://doi.org/10.1109/ICHI.2013.13"]}, {"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": "fd649233d62bf43d589818fbb41295e2d0669aeb", "title": "An Improved Crack Detection Algorithm Based on Characteristics of Texture Analysis and Gravity Model", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048157"]}, {"id": "4e21fb066ea5eee04f3e2090bb4348344ae980a2", "title": "Face Recognition using Features Combination and a New Non-linear Kernel Essam", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0447/0861408d14cc860f24e73d93b3bb476492d0.pdf"], "doi": []}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830587"]}, {"id": "d8288322f32ee4501cef5a9b667e5bb79ebd7018", "title": "Facing scalability: Naming faces in an online social network", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2011.12.018"]}, {"id": "fec295c6b6a1795d8ccb4592603040794667dfa7", "title": "LDOP: Local Directional Order Pattern for Robust Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07441.pdf"], "doi": []}, {"id": "17cf838720f7892dbe567129dcf3f7a982e0b56e", "title": "Global-Local Face Upsampling Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07235.pdf"], "doi": []}, {"id": "176d9121e4e645344de4706dfb345ad456bfb84a", "title": "Efficient algorithm for sparse coding and dictionary learning with applications to face recognition", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.24.2.023009"]}, {"id": "ae8240095c9cca2c395f173fece2f46277b94929", "title": "Weighted contourlet binary patterns and image-based fisher linear discriminant for face recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.06.045"]}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "61084a25ebe736e8f6d7a6e53b2c20d9723c4608", "title": "Face recognition for web-scale datasets", "year": "2014", "pdf": ["http://briancbecker.com/files/downloads/publications/Ortiz_CVIU13.pdf", "http://crcv-web.eecs.ucf.edu/papers/OrtizBecker_Webscale_CVIU.pdf", "http://crcv.ucf.edu/papers/OrtizBecker_Webscale_CVIU.pdf", "http://www.enriquegortiz.com/publications/OrtizBecker_Webscale_CVIU.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2013.09.004"]}, {"id": "3a2fc58222870d8bed62442c00341e8c0a39ec87", "title": "Probabilistic Local Variation Segmentation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3a2f/c58222870d8bed62442c00341e8c0a39ec87.pdf"], "doi": []}, {"id": "9c0fd1134aa730c876c4020fc4e54f6e7162109a", "title": "Unconstrained face identification with multi-scale block-based correlation", "year": "2016", "pdf": [], "doi": []}, {"id": "75e5ba7621935b57b2be7bf4a10cad66a9c445b9", "title": "Equidistant prototypes embedding for single sample based face recognition with generic learning and incremental learning", "year": "2014", "pdf": ["http://www.pris.net.cn/wp-content/uploads/2010/11/whdeng_pr4.pdf", "https://pdfs.semanticscholar.org/75e5/ba7621935b57b2be7bf4a10cad66a9c445b9.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.06.020"]}, {"id": "1063be2ad265751fb958b396ee26167fa0e844d2", "title": "A Multiresolution Gray-Scale and Rotation Invariant Descriptor for Texture Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369056", "http://doi.org/10.1109/ACCESS.2018.2842078"]}, {"id": "62e0380a86e92709fe2c64e6a71ed94d152c6643", "title": "Facial emotion recognition with expression energy", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2388777"]}, {"id": "0059b3dfc7056f26de1eabaafd1ad542e34c2c2e", "title": "I Can Help You Change! An Empathic Virtual Agent Delivers Behavior Change Health Interventions", "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2544103"]}, {"id": "0394e684bd0a94fc2ff09d2baef8059c2652ffb0", "title": "Median Robust Extended Local Binary Pattern for Texture Classification", "year": "2015", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/liuLFGWPtip16.pdf", "http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/TIP2522378.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7393828", "http://doi.org/10.1109/ICIP.2015.7351216", "https://www.ncbi.nlm.nih.gov/pubmed/26829791"]}, {"id": "e0679f8cf0029c04a95d966f562eb0bac3145adf", "title": "Harnessing auxiliary information : New methods to improve person identification", "year": "2015", "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 5de1be88..0ad80947 100644 --- a/site/datasets/unknown/market_1501.json +++ b/site/datasets/unknown/market_1501.json @@ -1 +1 @@ -{"id": "4308bd8c28e37e2ed9a3fcfe74d5436cce34b410", "citations": [{"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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.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": "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": "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": "fbec9ce3d6aedaedbbf8ff6c3781d8d8b5e39960", "title": "Person Re-identification Using Group Context", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/34cd/99528d873e842083abec429457233fdb3226.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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "e68bce8de2946e3f1b0b7899e76c37fbe0e8a42c", "title": "Pseudo-positive regularization for deep person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06500.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": "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": "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": "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": "fbec9ce3d6aedaedbbf8ff6c3781d8d8b5e39960", "title": "Person Re-identification Using Group Context", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/34cd/99528d873e842083abec429457233fdb3226.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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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 1e999508..de87275a 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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": []}]}
\ 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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/megaface.json b/site/datasets/unknown/megaface.json index 9e3a888b..5be722c0 100644 --- a/site/datasets/unknown/megaface.json +++ b/site/datasets/unknown/megaface.json @@ -1 +1 @@ -{"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "citations": [{"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}, {"id": "9a10845115794117485fc84f9b9e6ada2a7d2b00", "title": "Eye In-painting with Exemplar Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03999.pdf"], "doi": []}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"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": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"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": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "b612bbd751d94996a02b85829e0b2ac0511350ff", "title": "Learning Representations for Utility and Privacy : An Information-Theoretic Based Approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b612/bbd751d94996a02b85829e0b2ac0511350ff.pdf"], "doi": []}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944942", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.38", "http://doi.org/10.1109/BigDataService.2017.38"]}, {"id": "4e1a65f3c3d9cfeecab898affbe0b47a9b6c9157", "title": "DIY Human Action Dataset Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575353"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "2c75658b080a9baaac20db39af86016ffa36f6f0", "title": "Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578977"]}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "c924137ca87e8b4e1557465405744f8b639b16fc", "title": "Seeding Deep Learning using Wireless Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10242.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "934f69d038721540c96093cae634573b89d7d714", "title": "DeSTNet : Densely Fused Spatial Transformer Networks 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/934f/69d038721540c96093cae634573b89d7d714.pdf"], "doi": []}, {"id": "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b80/5f8cbcffe7f5e2cc7af86b5649330b15298d.pdf"], "doi": []}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "d2eb1079552fb736e3ba5e494543e67620832c52", "title": "DeSTNet: Densely Fused Spatial Transformer Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04050.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "9ebf00558968a7ca6e130b61e70bbe2e24706da4", "title": "Ongoing face recognition vendor test (FRVT) part 2:: identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5cfe/f7aedc2651d7754911a7a5cf9ee4edbe876a.pdf"], "doi": []}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "2b2896f41480399e7182acfa9466a3f915885387", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "citations": [{"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}, {"id": "9a10845115794117485fc84f9b9e6ada2a7d2b00", "title": "Eye In-painting with Exemplar Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.03999.pdf"], "doi": []}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"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": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "b612bbd751d94996a02b85829e0b2ac0511350ff", "title": "Learning Representations for Utility and Privacy : An Information-Theoretic Based Approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b612/bbd751d94996a02b85829e0b2ac0511350ff.pdf"], "doi": []}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944942", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.38", "http://doi.org/10.1109/BigDataService.2017.38"]}, {"id": "4e1a65f3c3d9cfeecab898affbe0b47a9b6c9157", "title": "DIY Human Action Dataset Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575353"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "2c75658b080a9baaac20db39af86016ffa36f6f0", "title": "Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578977"]}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "c924137ca87e8b4e1557465405744f8b639b16fc", "title": "Seeding Deep Learning using Wireless Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10242.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "934f69d038721540c96093cae634573b89d7d714", "title": "DeSTNet : Densely Fused Spatial Transformer Networks 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/934f/69d038721540c96093cae634573b89d7d714.pdf"], "doi": []}, {"id": "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b80/5f8cbcffe7f5e2cc7af86b5649330b15298d.pdf"], "doi": []}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "d2eb1079552fb736e3ba5e494543e67620832c52", "title": "DeSTNet: Densely Fused Spatial Transformer Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04050.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "9ebf00558968a7ca6e130b61e70bbe2e24706da4", "title": "Ongoing face recognition vendor test (FRVT) part 2:: identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5cfe/f7aedc2651d7754911a7a5cf9ee4edbe876a.pdf"], "doi": []}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "2b2896f41480399e7182acfa9466a3f915885387", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/morph.json b/site/datasets/unknown/morph.json index 1c41fd5c..65c8c050 100644 --- a/site/datasets/unknown/morph.json +++ b/site/datasets/unknown/morph.json @@ -1 +1 @@ -{"id": "9055b155cbabdce3b98e16e5ac9c0edf00f9552f", "citations": [{"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "fa23122db319440fb5a7253e19709f992b4571b9", "title": "Human Age Estimation via Geometric and Textural Features", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fa23/122db319440fb5a7253e19709f992b4571b9.pdf"], "doi": []}, {"id": "7bc1e7d000ab517161a83b1fedf353e619516ddf", "title": "Age group classification via structured fusion of uncertainty-driven shape features and selected surface features", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836068", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836068", "http://doi.org/10.1109/WACV.2014.6836068"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "72c0c8deb9ea6f59fde4f5043bff67366b86bd66", "title": "Age progression in Human Faces : A Survey", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/72c0/c8deb9ea6f59fde4f5043bff67366b86bd66.pdf"], "doi": []}, {"id": "53facf0d786366430886eff2fb7bf6da236b2899", "title": "Gender and Ethnicity Classification Using Partial Face in Biometric Applications", "year": "2014", "pdf": [], "doi": []}, {"id": "ed32df6b122b15a52238777c9993ed31107b4bed", "title": "Age face simulation using aging functions on global and local features with residual images", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.03.008"]}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"], "doi": []}, {"id": "083a2bc86e0984968b06593ba06654277b252f00", "title": "Neural evidence for the contribution of holistic processing but not attention allocation to the other-race effect on face memory.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/083a/2bc86e0984968b06593ba06654277b252f00.pdf"], "doi": []}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237444", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.182", "http://doi.org/10.1109/ICCV.2017.182"]}, {"id": "0fc5c6f06e40014a56f492172f44c073d269e95c", "title": "Genetic and evolutionary biometrics: Exploring value preference space for hybrid feature weighting and selection", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1108/17563781311301490"]}, {"id": "15f3d47b48a7bcbe877f596cb2cfa76e798c6452", "title": "Automatic face analysis tools for interactive digital games", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/15f3/d47b48a7bcbe877f596cb2cfa76e798c6452.pdf"], "doi": []}, {"id": "e198a7b9e61dd19c620e454aaa81ae8f7377ade0", "title": "A hierarchical approach to facial aging", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543611", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543611", "http://doi.org/10.1109/CVPRW.2010.5543611"]}, {"id": "29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Kuang_Deeply_Learned_Rich_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406401", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.52", "http://doi.org/10.1109/ICCVW.2015.52"]}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "title": "Dual Conditional GANs for Face Aging and Rejuvenation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93e9/62f8886eae13b02ad2aa98bdedfbd7e68709.pdf"], "doi": []}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "3dce635ce4b55fb63fc6d41b38640403b152a048", "title": "The Impact of Age and Threshold Variation on Facial Recognition Algorithm Performance Using Images of Children", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411225", "http://doi.org/10.1109/ICB2018.2018.00041"]}, {"id": "fa160e14172ba5b825488d961c7e6e7787a26cd3", "title": "Improving Gender Classification Accuracy in the Wild", "year": "2013", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15087/5/C085_LNCS_CIARP13_postprint.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-41827-3_34"]}, {"id": "44fb4dcf88eb482e2ab79fd4540caf941613b970", "title": "Perceived Age Estimation under Lighting Condition Change by Covariate Shift Adaptation", "year": "2010", "pdf": ["http://www.ms.k.u-tokyo.ac.jp/2010/ICPR2010a.pdf", "http://www.researchgate.net/profile/Masashi_Sugiyama/publication/220930547_Perceived_Age_Estimation_under_Lighting_Condition_Change_by_Covariate_Shift_Adaptation/links/0fcfd5122b4d406edd000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597530", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.830", "http://doi.org/10.1109/ICPR.2010.830"]}, {"id": "4465b754ac93e330facee245b4da0c822cc58441", "title": "A comprehensive age estimation on face images using hybrid filter based feature extraction", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e87/06fab62a5716c30a245e5963f51793e1d0ed.pdf"], "doi": []}, {"id": "5058a7ec68c32984c33f357ebaee96c59e269425", "title": "A Comparative Evaluation of Regression Learning Algorithms for Facial Age Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5058/a7ec68c32984c33f357ebaee96c59e269425.pdf"], "doi": []}, {"id": "8d8461ed57b81e05cc46be8e83260cd68a2ebb4d", "title": "Age identification of Facial Images using Neural Network", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8d84/61ed57b81e05cc46be8e83260cd68a2ebb4d.pdf"], "doi": []}, {"id": "289cfcd081c4393c7d6f63510747b5372202f855", "title": "Detecting Decision Ambiguity from Facial Images", "year": "2018", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373873", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00080", "http://doi.org/10.1109/FG.2018.00080"]}, {"id": "2bbbbe1873ad2800954058c749a00f30fe61ab17", "title": "Face Verification across Ages Using Self Organizing Map", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2bbb/be1873ad2800954058c749a00f30fe61ab17.pdf"], "doi": []}, {"id": "f1748303cc02424704b3a35595610890229567f9", "title": "Learning-based encoding with soft assignment for age estimation under unconstrained imaging conditions", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2012.07.009"]}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "3c6542295cf7fe362d7d629ac10670bf30cdabce", "title": "Hierarchical Aggregation Based Deep Aging Feature for Age Prediction", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371264", "http://doi.org/10.1109/DICTA.2015.7371264"]}, {"id": "22532c6e38ded690dc1420f05c18e23f6f24804d", "title": "Chapter 5 Genetic & Evolutionary Biometrics", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2253/2c6e38ded690dc1420f05c18e23f6f24804d.pdf"], "doi": []}, {"id": "7c11fa4fd91cb57e6e216117febcdd748e595760", "title": "Discriminant Feature Manifold for Facial Aging Estimation", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Hui_Fang2/publication/220932407_Discriminant_Feature_Manifold_for_Facial_Aging_Estimation/links/004635214d3e09ab00000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597453", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.150", "http://doi.org/10.1109/ICPR.2010.150"]}, {"id": "1e1e66783f51a206509b0a427e68b3f6e40a27c8", "title": "Semi-supervised estimation of perceived age from face images", "year": "2010", "pdf": [], "doi": []}, {"id": "29ce6b54a87432dc8371f3761a9568eb3c5593b0", "title": "Age Sensitivity of Face Recognition Algorithms", "year": "2013", "pdf": ["https://kar.kent.ac.uk/43222/1/Yatie_EST2013_vfinal.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6680176", "http://doi.ieeecomputersociety.org/10.1109/EST.2013.8", "http://doi.org/10.1109/EST.2013.8"]}, {"id": "3dda181be266950ba1280b61eb63ac11777029f9", "title": "When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09757.pdf"], "doi": []}, {"id": "aca273a9350b10b6e2ef84f0e3a327255207d0f5", "title": "Aalborg Universitet On Soft Biometrics", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aca2/73a9350b10b6e2ef84f0e3a327255207d0f5.pdf"], "doi": []}, {"id": "c398684270543e97e3194674d9cce20acaef3db3", "title": "Chapter 2 Comparative Face Soft Biometrics for Human Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c398/684270543e97e3194674d9cce20acaef3db3.pdf"], "doi": []}, {"id": "fe866887d3c26ee72590c440ed86ffc80e980293", "title": "Understanding Human Aging Patterns from a Machine Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397011", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00055", "http://doi.org/10.1109/MIPR.2018.00055"]}, {"id": "469ee1b00f7bbfe17c698ccded6f48be398f2a44", "title": "SURVEy : Techniques for Aging Problems in Face Recognition", "year": "", "pdf": ["https://pdfs.semanticscholar.org/469e/e1b00f7bbfe17c698ccded6f48be398f2a44.pdf"], "doi": []}, {"id": "9e28243f047cc9f62a946bf87abedb65b0da0f0a", "title": "Can We Minimize the Influence Due to Gender and Race in Age Estimation?", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6786126", "http://doi.org/10.1109/ICMLA.2013.141"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "fc2b5fa51a275af4c96029ca18789504f9f55393", "title": "Relationships Self-Learning Based Gender-Aware Age Estimation", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-019-09993-9"]}, {"id": "a608c5f8fd42af6e9bd332ab516c8c2af7063c61", "title": "Age Estimation via Grouping and Decision Fusion", "year": "2015", "pdf": ["http://mcl.usc.edu/wp-content/uploads/2016/01/Liu-TIFS-2015-10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7173035", "http://doi.org/10.1109/TIFS.2015.2462732"]}, {"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10462-018-9661-z"]}, {"id": "49e1aa3ecda55465641b2c2acc6583b32f3f1fc6", "title": "Support Vector Machine for age classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/49e1/aa3ecda55465641b2c2acc6583b32f3f1fc6.pdf"], "doi": []}, {"id": "d7c2f972c21290e9df8cce1b4f89389983268cb7", "title": "Deep Regression Forests for Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578343"]}, {"id": "75650bfc20036d99314f7ddae8f2baecde3d57e2", "title": "Concave Losses for Robust Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00659.pdf"], "doi": []}, {"id": "b47a3c909ee9b099854619054fd00e200b944aa9", "title": "Deeply-Learned Feature for Age Estimation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045931", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.77", "http://doi.org/10.1109/WACV.2015.77"]}, {"id": "37eb666b7eb225ffdafc6f318639bea7f0ba9a24", "title": "Age , Gender and Race Estimation from Unconstrained Face Images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/37eb/666b7eb225ffdafc6f318639bea7f0ba9a24.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "c1482491f553726a8349337351692627a04d5dbe", "title": "When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00048.pdf"], "doi": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "year": "2016", "pdf": ["https://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2016/F1b-PR2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.12.003"]}, {"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780901"]}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"], "doi": []}, {"id": "b234d429c9ea682e54fca52f4b889b3170f65ffc", "title": "A Concatenational Graph Evolution Aging Model", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6127881", "http://doi.org/10.1109/TPAMI.2012.22", "https://www.ncbi.nlm.nih.gov/pubmed/22997125", "https://www.wikidata.org/entity/Q50783988"]}, {"id": "166186e551b75c9b5adcc9218f0727b73f5de899", "title": "Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1661/86e551b75c9b5adcc9218f0727b73f5de899.pdf"], "doi": []}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961736", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.28", "http://doi.org/10.1109/FG.2017.28"]}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "132cc530230cb869318b0a9d81a717077895db38", "title": "Emancipation of Upper Bound Greedy Algorithm in Detection of Nodes in Social Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/132c/c530230cb869318b0a9d81a717077895db38.pdf"], "doi": []}, {"id": "7b1ca9a74ab7fbfc32a69e8313ca2f2d78ac6c35", "title": "Comparison of Three Different CNN Architectures for Age Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7889565", "http://doi.ieeecomputersociety.org/10.1109/ICSC.2017.61", "http://doi.org/10.1109/ICSC.2017.61"]}, {"id": "23d55061f7baf2ffa1c847d356d8f76d78ebc8c1", "title": "Generic and attribute-specific deep representations for maritime vessels", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0033-4?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0033-4"]}, {"id": "48cfc5789c246c6ad88ff841701204fc9d6577ed", "title": "Age Invariant Face Recognition Based on DCT Feature Extraction and Kernel Fisher Analysis", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/48cf/c5789c246c6ad88ff841701204fc9d6577ed.pdf"], "doi": []}, {"id": "2133475ba633c732292ccf405f07a0baea9d01b3", "title": "Demographic-Assisted Age-Invariant Face Recognition and Retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.3390/sym10050148"]}, {"id": "4ef09fe9f7fa027427414cf1f2e9050ac7f5e34d", "title": "A proposed method for the improvement in biometric facial image recognition using document-based classification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11227-018-2408-4"]}, {"id": "7195cb08ba2248f3214f5dc5d7881533dd1f46d9", "title": "Age Regression Based on Local Image Features", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5673820", "http://biblio.telecom-paristech.fr/cgi-bin/download.cgi?id=10558"]}, {"id": "1f3f7df159c338884ddfd38ee2d3ba2e1e3ada69", "title": "Self-enhancement Influences Medial Frontal Cortex Alpha Power to Social Rejection Feedback", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1162/jocn_a_00645", "https://www.ncbi.nlm.nih.gov/pubmed/24738770", "https://www.wikidata.org/entity/Q47778683"]}, {"id": "9cdb311463aca8ab3f2619e390635ea42ca02097", "title": "Cubic norm and kernel-based bi-directional PCA: toward age-aware facial kinship verification", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-017-1442-1"]}, {"id": "df674dc0fc813c2a6d539e892bfc74f9a761fbc8", "title": "An Image Mining System for Gender Classification & Age Prediction Based on Facial Features", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/df67/4dc0fc813c2a6d539e892bfc74f9a761fbc8.pdf"], "doi": []}, {"id": "18ae88aef1a69f1a475bf41b03ad226bb66f40f4", "title": "Hybrid Ageing Patterns for face age estimation", "year": "2018", "pdf": ["https://e-space.mmu.ac.uk/619011/1/revised_manuscript.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2017.08.005", "https://www.wikidata.org/entity/Q58796144"]}, {"id": "af12a79892bd030c19dfea392f7a7ccb0e7ebb72", "title": "A study on human age estimation under facial expression changes", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247972", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247972", "http://doi.org/10.1109/CVPR.2012.6247972"]}, {"id": "59fe66eeb06d1a7e1496a85f7ffc7b37512cd7e5", "title": "Robust feature encoding for age-invariant face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552862", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552862", "http://doi.org/10.1109/ICME.2016.7552862"]}, {"id": "3edb0fa2d6b0f1984e8e2c523c558cb026b2a983", "title": "Automatic Age Estimation Based on Facial Aging Patterns", "year": "2007", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tpami07.pdf", "http://cse.seu.edu.cn/PersonalPage/xgeng/files/tpami07.pdf", "http://dro.deakin.edu.au/eserv/DU:30007652/geng-automaticage-2007.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4359348", "http://doi.org/10.1109/TPAMI.2007.70733", "https://www.ncbi.nlm.nih.gov/pubmed/17934231", "https://www.wikidata.org/entity/Q50890131"]}, {"id": "fa24bf887d3b3f6f58f8305dcd076f0ccc30272a", "title": "Interval Insensitive Loss for Ordinal Classification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/84a6/4425ab3d590d669525229c84d7d1bfcea554.pdf"], "doi": []}, {"id": "b5f9306c3207ac12ac761e7d028c78b3009a219c", "title": "Age estimation based on extended non-negative matrix factorization", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6093779", "http://doi.org/10.1109/MMSP.2011.6093779", "http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2788&context=infopapers"]}, {"id": "9cb5f62995c9b5413164e896294ac695413823d9", "title": "Binary Coding based Label Distribution Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9cb5/f62995c9b5413164e896294ac695413823d9.pdf"], "doi": []}, {"id": "fcd3d69b418d56ae6800a421c8b89ef363418665", "title": "Effects of Aging over Facial Feature Analysis and Face Recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fcd3/d69b418d56ae6800a421c8b89ef363418665.pdf"], "doi": []}, {"id": "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "title": "Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578147"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "7c8909da44e89a78fe88e815c83a4ced34f99149", "title": "Multi-classifier Q-stack Aging Model for Adult Face Verification", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597781", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.326", "http://doi.org/10.1109/ICPR.2010.326"]}, {"id": "88337c4ca3eeb00538b9a1ac54180d02187c68db", "title": "Learning Face Age Progression: A Pyramid Architecture of GANs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578109"]}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813020", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2016.021", "http://doi.org/10.1109/SIBGRAPI.2016.021"]}, {"id": "be7444c891caf295d162233bdae0e1c79791d566", "title": "Face Recognition Performance under Aging", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/DebBestRowdenJain_FaceRecognitionPerformanceUnderAging_CVPRW17.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Deb_Face_Recognition_Performance_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/CVPR2017_Lacey_v2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014816", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.82", "http://doi.org/10.1109/CVPRW.2017.82"]}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "69ff40fd5ce7c3e6db95a2b63d763edd8db3a102", "title": "HUMAN AGE ESTIMATION VIA GEOMETRIC AND TEXTURAL FEATURES", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/69ff/40fd5ce7c3e6db95a2b63d763edd8db3a102.pdf"], "doi": []}, {"id": "414d78e32ac41e6ff8b192bc095fe55f865a02f4", "title": "Dual-reference Face Retrieval: What Does He/She Look Like at Age 'X'?", "year": "2017", "pdf": [], "doi": []}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961796", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.75", "http://doi.org/10.1109/FG.2017.75"]}, {"id": "76a52ebfc5afd547f8b73430ec81456cf25ddd69", "title": "Gender and age recognition for video analytics solution", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7041914", "http://doi.ieeecomputersociety.org/10.1109/AIPR.2014.7041914", "http://doi.org/10.1109/AIPR.2014.7041914"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "title": "Group-aware deep feature learning for facial age estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Group-aware%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.026"]}, {"id": "59cdafed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1", "title": "Classification of Age Estimation based on Neural Networks Features by using Data mining", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/59cd/afed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1.pdf"], "doi": []}, {"id": "23675cb2180aac466944df0edda4677a77c455cd", "title": "Age Estimation Using AAM and Local Facial Features", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5337138", "http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2009.142", "http://doi.org/10.1109/IIH-MSP.2009.142"]}, {"id": "4e8f301dbedc9063831da1306b294f2bd5b10477", "title": "Discriminating Power of FISWG Characteristic Descriptors Under Different Forensic Use Cases", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7736919", "http://doi.org/10.1109/BIOSIG.2016.7736919", "https://dl.gi.de/20.500.12116/1208"]}, {"id": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961738", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.30", "http://doi.org/10.1109/FG.2017.30"]}, {"id": "3d94f81cf4c3a7307e1a976dc6cb7bf38068a381", "title": "Data-Dependent Label Distribution Learning for Age Estimation", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip17_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7822912", "http://doi.org/10.1109/TIP.2017.2655445", "https://www.ncbi.nlm.nih.gov/pubmed/28103557", "https://www.wikidata.org/entity/Q31155396"]}, {"id": "65b3bee001f1d62a35802b9f1ebd17c90e87b022", "title": "An Evaluation of Classification Performance for Facial Analytics on Diverse Datasets", "year": "2013", "pdf": [], "doi": []}, {"id": "cce332405ce9cd9dccc45efac26d1d614eaa982d", "title": "A Ranking Approach for Human Ages Estimation Based on Face Images", "year": "2010", "pdf": ["http://www.iis.sinica.edu.tw/papers/song/10774-F.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597533", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.829", "http://doi.org/10.1109/ICPR.2010.829"]}, {"id": "25bcd5aa3bbe56c992547fba683418655b46fc4a", "title": "Pyramid multi-level features for facial demographic estimation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.03.030"]}, {"id": "0f112e49240f67a2bd5aaf46f74a924129f03912", "title": "Age-Invariant Face Recognition", "year": "2010", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/ParkTongJain_AgeInvariantFaceRecognition_PAMI10.pdf", "http://www.asmgroup.edu.in/incon/publication/incon13-it-042.pdf", "http://www.svcl.ucsd.edu/~nikux/age/Age%20Invariant%20Face%20Recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5383364", "http://doi.org/10.1109/TPAMI.2010.14", "https://www.ncbi.nlm.nih.gov/pubmed/20299717", "https://www.wikidata.org/entity/Q51712786"]}, {"id": "cb004e9706f12d1de83b88c209ac948b137caae0", "title": "Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01186.pdf"], "doi": []}, {"id": "e9fcd15bcb0f65565138dda292e0c71ef25ea8bb", "title": "Analysing Facial Regions for Face Recognition Using Forensic Protocols", "year": "2013", "pdf": ["https://repositorio.uam.es/xmlui/bitstream/handle/10486/663763/analysing_tome_CCIS_2013_ps.pdf?sequence=3"], "doi": ["http://doi.org/10.1007/978-3-642-38061-7_22"]}, {"id": "68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5", "title": "AGE CLASSIFICATION BASED ON SIMPLE LBP TRANSITIONS", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/68a2/ee5c5b76b6feeb3170aaff09b1566ec2cdf5.pdf"], "doi": []}, {"id": "f214bcc6ecc3309e2efefdc21062441328ff6081", "title": "Speaker verification in score-ageing-quality classification space", "year": "2013", "pdf": ["http://www.mee.tcd.ie/~sigmedia/pmwiki/uploads/Main.Publications/kelly_sv_score_age_quality.pdf", "http://www.researchgate.net/profile/Finnian_Kelly/publication/257267643_Speaker_verification_in_score-ageing-quality_classification_space/links/0f317532b07efcaf77000000.pdf"], "doi": ["http://doi.org/10.1016/j.csl.2012.12.005"]}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "437642cfc8c34e445ea653929e2d183aaaeeb704", "title": "Component Biologically Inspired Features with Moving Segmentation for Age Estimation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Hsu_Component_Biologically_Inspired_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/Component_Biologically_Inspired_Features_with_Moving_Segmentation_for_Age_Estimation_rev.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014815", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.81", "http://doi.org/10.1109/CVPRW.2017.81"]}, {"id": "28715fc79bd5ff8dd8b6fc68a4f2641e5d1b8a08", "title": "Deep Label Distribution Learning for Apparent Age Estimation", "year": "2015", "pdf": ["http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE_slide.pdf", "http://lamda.nju.edu.cn/weixs/publication/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/weixs/slide/iccvw15_AGE_slide.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Huo_Deep_Age_Distribution_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Yang_Deep_Label_Distribution_ICCV_2015_paper.pdf", "https://cs.nju.edu.cn/wujx/paper/LaP_ICCV2015_24.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406402", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.53", "http://doi.org/10.1109/ICCVW.2015.53"]}, {"id": "d82b93f848d5442f82154a6011d26df8a9cd00e7", "title": "NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d82b/93f848d5442f82154a6011d26df8a9cd00e7.pdf"], "doi": []}, {"id": "070c8ee3876c06f9a65693e536d61097ace40417", "title": "How Do Facial Expressions Contribute to Age Prediction?", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778457", "http://doi.org/10.1109/ACPR.2013.161"]}, {"id": "97d1d561362a8b6beb0fdbee28f3862fb48f1380", "title": "Age Synthesis and Estimation via Faces: A Survey", "year": "2010", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapersOnWeb/PAMI10Guo.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5406526", "http://doi.org/10.1109/TPAMI.2010.36", "https://www.ncbi.nlm.nih.gov/pubmed/20847387", "https://www.wikidata.org/entity/Q37789567"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "5b9d9f5a59c48bc8dd409a1bd5abf1d642463d65", "title": "An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5b9d/9f5a59c48bc8dd409a1bd5abf1d642463d65.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "13f03aab62fc29748114a0219426613cf3ba76ae", "title": "MORPH-II: Feature Vector Documentation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/13f0/3aab62fc29748114a0219426613cf3ba76ae.pdf"], "doi": []}, {"id": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"], "doi": []}, {"id": "15e0b9ba3389a7394c6a1d267b6e06f8758ab82b", "title": "The OU-ISIR Gait Database comprising the Large Population Dataset with Age and performance evaluation of age estimation", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0035-2?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0035-2"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"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": "931f99bc6865d3d0c80c15d5b1c05338dfe98982", "title": "Identification of Aging Faces Using A-Stack Classification Model", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5302130"]}, {"id": "0f92e9121e9c0addc35eedbbd25d0a1faf3ab529", "title": "MORPH-II : A Proposed Subsetting Scheme", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f92/e9121e9c0addc35eedbbd25d0a1faf3ab529.pdf"], "doi": []}, {"id": "7ad7897740e701eae455457ea74ac10f8b307bed", "title": "Random Subspace Two-dimensional LDA for Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00575.pdf"], "doi": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}, {"id": "f4251e02f87ac3fcae70bdb313f13ed16ff6ff0a", "title": "Identification using face regions: application and assessment in forensic scenarios.", "year": "2013", "pdf": ["http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTome.pdf", "http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "http://audias.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "https://repositorio.uam.es/bitstream/handle/10486/663052/identification_tome_FSI_2013_ps.pdf?sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/24314504", "http://doi.org/10.1016/j.forsciint.2013.08.020"]}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "4a0b18fab67724313cafc35495af9dc5454fa6af", "title": "Sexually Dimorphic Faciometrics in Humans From Early Adulthood to Late Middle Age: Dynamic, Declining, and Differentiated.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a0b/18fab67724313cafc35495af9dc5454fa6af.pdf"], "doi": []}, {"id": "1890470d07a090e7b762091c7b9670b5c2e1c348", "title": "Improving Random Forests by Correlation-Enhancing Projections and Sample-Based Sparse Discriminant Selection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801525", "http://doi.ieeecomputersociety.org/10.1109/CRV.2016.20", "http://doi.org/10.1109/CRV.2016.20"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "c8b89de8d63d68166b3373e451916bf35e74d2f4", "title": "Hierarchical Facial Age Estimation Using Gaussian Process Regression", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8601185"]}, {"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.06149.pdf"], "doi": []}, {"id": "fc04a50379e08ddde501816eb1f9560c36d01a39", "title": "Image Pre-processing Using OpenCV Library on MORPH-II Face Database", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06934.pdf"], "doi": []}, {"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"id": "1ae3a26a985fe525b23f080a9e1041ecff0509ad", "title": "A Comparative Study of Statistical Conversion of Face to Voice Based on Their Subjective Impressions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ae3/a26a985fe525b23f080a9e1041ecff0509ad.pdf"], "doi": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "7553fba5c7f73098524fbb58ca534a65f08e91e7", "title": "A Practical Approach for Determination of Human Gender & Age", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7553/fba5c7f73098524fbb58ca534a65f08e91e7.pdf"], "doi": []}, {"id": "997c7ebf467c579b55859315c5a7f15c1df43432", "title": "A Study of Convolutional Sparse Feature Learning for Human Age Estimate", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961792", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.141", "http://doi.org/10.1109/FG.2017.141"]}, {"id": "e2d4ead809ea9488be7e68caea0e7c2fcfce3fa1", "title": "A deep analysis on age estimation", "year": "2015", "pdf": ["http://www.hertasecurity.com/sites/default/files/publication/files/A-Deep-Analysis-on-Age-Estimation2.pdf", "https://upcommons.upc.edu/bitstream/handle/2117/83918/A%20deep%20analysis%20on%20age%20estimation.pdf?isAllowed=y&sequence=6"], "doi": ["https://doi.org/10.1016/j.patrec.2015.06.006", "https://www.wikidata.org/entity/Q57724169"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6", "title": "Demographic Estimation from Face Images: Human vs. Machine Performance", "year": "2015", "pdf": ["http://cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf", "http://www.cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6920084", "http://doi.org/10.1109/TPAMI.2014.2362759", "https://www.ncbi.nlm.nih.gov/pubmed/26357339", "https://www.wikidata.org/entity/Q40552843"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977254", "http://doi.org/10.1109/ICPR.2014.542"]}, {"id": "3b1260d78885e872cf2223f2c6f3d6f6ea254204", "title": "Face Tracking and Recognition at a Distance: A Coaxial and Concentric PTZ Camera System", "year": "2013", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Choietal_FaceTrackingRecognitionDistancePTZCameraSystem.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Parketal_FaceTrackingRecognitionDistance_CoaxialConcentricPTZCameraSystem_TIFS13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512016", "http://doi.org/10.1109/TIFS.2013.2261061"]}, {"id": "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "title": "Age estimation via unsupervised neural networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163119", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163119", "http://doi.org/10.1109/FG.2015.7163119"]}, {"id": "744d23991a2c48d146781405e299e9b3cc14b731", "title": "Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection", "year": "2016", "pdf": ["http://www.cise.ufl.edu/~dihong/assets/LPS2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7420684", "http://doi.org/10.1109/TIP.2016.2535284", "https://www.ncbi.nlm.nih.gov/pubmed/26930681"]}, {"id": "362a70b6e7d55a777feb7b9fc8bc4d40a57cde8c", "title": "A partial least squares based ranker for fast and accurate age estimation", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0002792.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472186", "http://doi.org/10.1109/ICASSP.2016.7472186"]}, {"id": "87b607b8d4858a16731144d17f457a54e488f15d", "title": "Cross-Age Face Recognition on a Very Large Database: The Performance versus Age Intervals and Improvement Using Soft Biometric Traits", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Karl_Ricanek/publication/220931837_Cross-Age_Face_Recognition_on_a_Very_Large_Database_The_Performance_versus_Age_Intervals_and_Improvement_Using_Soft_Biometric_Traits/links/02bfe50d46b635ff13000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597532", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.828", "http://doi.org/10.1109/ICPR.2010.828"]}, {"id": "6e198f6cc4199e1c4173944e3df6f39a302cf787", "title": "MORPH-II : Inconsistencies and Cleaning Whitepaper", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e19/8f6cc4199e1c4173944e3df6f39a302cf787.pdf"], "doi": []}, {"id": "d9810786fccee5f5affaef59bc58d2282718af9b", "title": "Adaptive Frame Selection for Enhanced Face Recognition in Low-Resolution Videos", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d981/0786fccee5f5affaef59bc58d2282718af9b.pdf"], "doi": []}, {"id": "a534f41608ee0157ff002a0d5e5d39deb0d34797", "title": "On soft biometrics", "year": "2015", "pdf": ["http://vbn.aau.dk/files/219488771/on_softbiometrics_preprint.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2015.08.006", "https://www.wikidata.org/entity/Q57724073"]}, {"id": "0c6a566ebdac4bd14e80cd6bf4631bc7458e1595", "title": "Local descriptors in application to the aging problem in face recognition", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2013.03.010"]}, {"id": "bc6de183cd8b2baeebafeefcf40be88468b04b74", "title": "Age Group Recognition using Human Facial Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e057/e713301e089887295543226b79b534fdd145.pdf"], "doi": []}, {"id": "79581c364cefe53bff6bdd224acd4f4bbc43d6d4", "title": "Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.06838.pdf"], "doi": []}, {"id": "40033c6a0b534a6023a78ee2a144edd7f10fa696", "title": "Facial soft biometric features for forensic face recognition.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_FSI_ForensicFacialFeat_PTome_final.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26454196", "https://doi.org/10.1016/j.forsciint.2015.09.002"]}, {"id": "3c0bbfe664fb083644301c67c04a7f1331d9515f", "title": "The Role of Color and Contrast in Facial Age Estimation Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3c0b/bfe664fb083644301c67c04a7f1331d9515f.pdf"], "doi": []}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893", "http://doi.org/10.1109/TMM.2015.2420374"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "8c5cf18c456957c63248245791f44a685e832345", "title": "Implementation of perceptual resemblance of local plastic surgery facial images using Near Sets", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7193017"]}, {"id": "72cd5d81e4541c80c611a9bcab85bdcf14d5f028", "title": "Age group classification based on facial images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/72cd/5d81e4541c80c611a9bcab85bdcf14d5f028.pdf"], "doi": []}, {"id": "1135a818b756b057104e45d976546970ba84e612", "title": "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961848", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.118", "http://doi.org/10.1109/FG.2017.118"]}, {"id": "dcb44fc19c1949b1eda9abe998935d567498467d", "title": "Ordinal Zero-Shot Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/dcb4/4fc19c1949b1eda9abe998935d567498467d.pdf"], "doi": []}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014811", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.77", "http://doi.org/10.1109/CVPRW.2017.77"]}, {"id": "60ce4a9602c27ad17a1366165033fe5e0cf68078", "title": "Combination of Face Regions in Forensic Scenarios.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_JFO_FaceRegionFusion_Tome.pdf", "http://atvs.ii.uam.es/files/2015_JFO_FaceRegionFusion_Tome.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26189995", "http://doi.org/10.1111/1556-4029.12800"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "e16efd2ae73a325b7571a456618bfa682b51aef8", "title": "Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/93f8/4b8200aeba68af767c4f143233829e8ce6d9.pdf"], "doi": []}, {"id": "f47404424270f6a20ba1ba8c2211adfba032f405", "title": "Identification of Face Age range Group using Neural Network", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f474/04424270f6a20ba1ba8c2211adfba032f405.pdf"], "doi": []}, {"id": "b034cc919af30e96ee7bed769b93ea5828ae361b", "title": "Soft-Margin Mixture of Regressions", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Soft-Margin_Mixture_of_CVPR_2017_paper.pdf", "http://www.ca.cs.cmu.edu/sites/default/files/08099915.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099915", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.432", "http://doi.org/10.1109/CVPR.2017.432"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "621741b87258c745f8905d15ba81aaf2a8be60d2", "title": "A Study of Geometric Features for Aging Face Recognition", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5659191"]}, {"id": "574751dbb53777101502419127ba8209562c4758", "title": "Gender classification from unaligned facial images using support subspaces", "year": "2013", "pdf": ["http://ochoa.pc.cs.cmu.edu/wschu/papers/doc/ins13-gender.pdf"], "doi": ["http://doi.org/10.1016/j.ins.2012.09.008"]}, {"id": "c05a7c72e679745deab9c9d7d481f7b5b9b36bdd", "title": "Naval Postgraduate School Monterey, California Approved for Public Release; Distribution Is Unlimited Biometric Challenges for Future Deployments: a Study of the Impact of Geography, Climate, Culture, and Social Conditions on the Effective Collection of Biometrics", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c05a/7c72e679745deab9c9d7d481f7b5b9b36bdd.pdf"], "doi": []}, {"id": "09111da0aedb231c8484601444296c50ca0b5388", "title": "Joint estimation of age, gender and ethnicity: CCA vs. PLS", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553737.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553737", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553737", "http://doi.org/10.1109/FG.2013.6553737"]}, {"id": "d3c004125c71942846a9b32ae565c5216c068d1e", "title": "Recognizing Age-Separated Face Images: Humans and Machines", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d3c0/04125c71942846a9b32ae565c5216c068d1e.pdf"], "doi": []}, {"id": "362ba8317aba71c78dafca023be60fb71320381d", "title": "Nighttime face recognition at large standoff: Cross-distance and cross-spectral matching", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/KangHanJainLee_NighttimeFRatLargeStandoff_P.R.2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.06.004"]}, {"id": "2c8743089d9c7df04883405a31b5fbe494f175b4", "title": "Real-time full-body human gender recognition in (RGB)-D data", "year": "2015", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/linderICRA15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139616", "http://doi.org/10.1109/ICRA.2015.7139616"]}, {"id": "63488398f397b55552f484409b86d812dacde99a", "title": "Learning Universal Multiview Age Estimator by Video Contexts", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6348/8398f397b55552f484409b86d812dacde99a.pdf"], "doi": []}, {"id": "b1301c722886b6028d11e4c2084ee96466218be4", "title": "Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02740.pdf"], "doi": []}, {"id": "e5dfd17dbfc9647ccc7323a5d62f65721b318ba9", "title": "Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e5df/d17dbfc9647ccc7323a5d62f65721b318ba9.pdf"], "doi": []}, {"id": "1035536e484a167e3f7d7edca8de9cd5917383ec", "title": "UvA-DARE ( Digital Academic Repository ) Expression-Invariant Age Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0da7/e3fabea12a9242348df62de7754b2be28b44.pdf"], "doi": []}, {"id": "6e12ba518816cbc2d987200c461dc907fd19f533", "title": "A computational approach to body mass index prediction from face images", "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapers/BMIface2013.pdf", "http://www.csee.wvu.edu/~gdguo/myPapers/BMIface2013.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2013.03.001"]}, {"id": "a01f9461bc8cf8fe40c26d223ab1abea5d8e2812", "title": "Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a01f/9461bc8cf8fe40c26d223ab1abea5d8e2812.pdf"], "doi": []}, {"id": "03b31cbb8e64dc9402b76287f06f15840acff3f1", "title": "Privacy-Protective-GAN for Privacy Preserving Face De-Identification", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11390-019-1898-8"]}, {"id": "5f09018d330f8d62b9abd83d44f1097d945508e4", "title": "Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03268.pdf"], "doi": []}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301352", "http://doi.org/10.1109/CVPRW.2015.7301352"]}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "ac26166857e55fd5c64ae7194a169ff4e473eb8b", "title": "Personalized Age Progression with Bi-Level Aging Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01039.pdf"], "doi": []}, {"id": "4aeb87c11fb3a8ad603311c4650040fd3c088832", "title": "Self-paced Mixture of Regressions", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4aeb/87c11fb3a8ad603311c4650040fd3c088832.pdf"], "doi": []}, {"id": "d09df8a2e7cfef667e7836a157d0d26658be788f", "title": "Cumulative attribute relation regularization learning for human age estimation", "year": "2015", "pdf": ["http://parnec.nuaa.edu.cn/pubs/songcan%20chen/journal/2015/TQ-Neucom-2015.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2015.03.078"]}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"], "doi": []}, {"id": "8cffe360a05085d4bcba111a3a3cd113d96c0369", "title": "Learning universal multi-view age estimator using video context", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126248", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126248", "http://doi.org/10.1109/ICCV.2011.6126248"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7094272", "http://doi.org/10.1109/TIP.2015.2426413", "https://www.ncbi.nlm.nih.gov/pubmed/25915959"]}, {"id": "35e4b6c20756cd6388a3c0012b58acee14ffa604", "title": "Gender Classification in Large Databases", "year": "2012", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15085/5/C082_LNCS_CIARP12_postprint.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33275-3_9"]}, {"id": "197eaa59a003a4c7cc77c1abe0f99d942f716942", "title": "Web image mining towards universal age estimator", "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1631287"]}, {"id": "812d3f6975f4cb87e9905ef18696c5c779227634", "title": "A novel comparative deep learning framework for facial age estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/812d/3f6975f4cb87e9905ef18696c5c779227634.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "9055b155cbabdce3b98e16e5ac9c0edf00f9552f", "citations": [{"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "fa23122db319440fb5a7253e19709f992b4571b9", "title": "Human Age Estimation via Geometric and Textural Features", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fa23/122db319440fb5a7253e19709f992b4571b9.pdf"], "doi": []}, {"id": "7bc1e7d000ab517161a83b1fedf353e619516ddf", "title": "Age group classification via structured fusion of uncertainty-driven shape features and selected surface features", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836068", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836068", "http://doi.org/10.1109/WACV.2014.6836068"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "72c0c8deb9ea6f59fde4f5043bff67366b86bd66", "title": "Age progression in Human Faces : A Survey", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/72c0/c8deb9ea6f59fde4f5043bff67366b86bd66.pdf"], "doi": []}, {"id": "53facf0d786366430886eff2fb7bf6da236b2899", "title": "Gender and Ethnicity Classification Using Partial Face in Biometric Applications", "year": "2014", "pdf": [], "doi": []}, {"id": "ed32df6b122b15a52238777c9993ed31107b4bed", "title": "Age face simulation using aging functions on global and local features with residual images", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.03.008"]}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"], "doi": []}, {"id": "083a2bc86e0984968b06593ba06654277b252f00", "title": "Neural evidence for the contribution of holistic processing but not attention allocation to the other-race effect on face memory.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/083a/2bc86e0984968b06593ba06654277b252f00.pdf"], "doi": []}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237444", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.182", "http://doi.org/10.1109/ICCV.2017.182"]}, {"id": "0fc5c6f06e40014a56f492172f44c073d269e95c", "title": "Genetic and evolutionary biometrics: Exploring value preference space for hybrid feature weighting and selection", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1108/17563781311301490"]}, {"id": "15f3d47b48a7bcbe877f596cb2cfa76e798c6452", "title": "Automatic face analysis tools for interactive digital games", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/15f3/d47b48a7bcbe877f596cb2cfa76e798c6452.pdf"], "doi": []}, {"id": "e198a7b9e61dd19c620e454aaa81ae8f7377ade0", "title": "A hierarchical approach to facial aging", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543611", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543611", "http://doi.org/10.1109/CVPRW.2010.5543611"]}, {"id": "29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Kuang_Deeply_Learned_Rich_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406401", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.52", "http://doi.org/10.1109/ICCVW.2015.52"]}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "title": "Dual Conditional GANs for Face Aging and Rejuvenation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93e9/62f8886eae13b02ad2aa98bdedfbd7e68709.pdf"], "doi": []}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "3dce635ce4b55fb63fc6d41b38640403b152a048", "title": "The Impact of Age and Threshold Variation on Facial Recognition Algorithm Performance Using Images of Children", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411225", "http://doi.org/10.1109/ICB2018.2018.00041"]}, {"id": "fa160e14172ba5b825488d961c7e6e7787a26cd3", "title": "Improving Gender Classification Accuracy in the Wild", "year": "2013", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15087/5/C085_LNCS_CIARP13_postprint.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-41827-3_34"]}, {"id": "44fb4dcf88eb482e2ab79fd4540caf941613b970", "title": "Perceived Age Estimation under Lighting Condition Change by Covariate Shift Adaptation", "year": "2010", "pdf": ["http://www.ms.k.u-tokyo.ac.jp/2010/ICPR2010a.pdf", "http://www.researchgate.net/profile/Masashi_Sugiyama/publication/220930547_Perceived_Age_Estimation_under_Lighting_Condition_Change_by_Covariate_Shift_Adaptation/links/0fcfd5122b4d406edd000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597530", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.830", "http://doi.org/10.1109/ICPR.2010.830"]}, {"id": "4465b754ac93e330facee245b4da0c822cc58441", "title": "A comprehensive age estimation on face images using hybrid filter based feature extraction", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e87/06fab62a5716c30a245e5963f51793e1d0ed.pdf"], "doi": []}, {"id": "5058a7ec68c32984c33f357ebaee96c59e269425", "title": "A Comparative Evaluation of Regression Learning Algorithms for Facial Age Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5058/a7ec68c32984c33f357ebaee96c59e269425.pdf"], "doi": []}, {"id": "8d8461ed57b81e05cc46be8e83260cd68a2ebb4d", "title": "Age identification of Facial Images using Neural Network", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8d84/61ed57b81e05cc46be8e83260cd68a2ebb4d.pdf"], "doi": []}, {"id": "289cfcd081c4393c7d6f63510747b5372202f855", "title": "Detecting Decision Ambiguity from Facial Images", "year": "2018", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373873", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00080", "http://doi.org/10.1109/FG.2018.00080"]}, {"id": "2bbbbe1873ad2800954058c749a00f30fe61ab17", "title": "Face Verification across Ages Using Self Organizing Map", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2bbb/be1873ad2800954058c749a00f30fe61ab17.pdf"], "doi": []}, {"id": "f1748303cc02424704b3a35595610890229567f9", "title": "Learning-based encoding with soft assignment for age estimation under unconstrained imaging conditions", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2012.07.009"]}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "3c6542295cf7fe362d7d629ac10670bf30cdabce", "title": "Hierarchical Aggregation Based Deep Aging Feature for Age Prediction", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371264", "http://doi.org/10.1109/DICTA.2015.7371264"]}, {"id": "22532c6e38ded690dc1420f05c18e23f6f24804d", "title": "Chapter 5 Genetic & Evolutionary Biometrics", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2253/2c6e38ded690dc1420f05c18e23f6f24804d.pdf"], "doi": []}, {"id": "7c11fa4fd91cb57e6e216117febcdd748e595760", "title": "Discriminant Feature Manifold for Facial Aging Estimation", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Hui_Fang2/publication/220932407_Discriminant_Feature_Manifold_for_Facial_Aging_Estimation/links/004635214d3e09ab00000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597453", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.150", "http://doi.org/10.1109/ICPR.2010.150"]}, {"id": "1e1e66783f51a206509b0a427e68b3f6e40a27c8", "title": "Semi-supervised estimation of perceived age from face images", "year": "2010", "pdf": [], "doi": []}, {"id": "29ce6b54a87432dc8371f3761a9568eb3c5593b0", "title": "Age Sensitivity of Face Recognition Algorithms", "year": "2013", "pdf": ["https://kar.kent.ac.uk/43222/1/Yatie_EST2013_vfinal.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6680176", "http://doi.ieeecomputersociety.org/10.1109/EST.2013.8", "http://doi.org/10.1109/EST.2013.8"]}, {"id": "3dda181be266950ba1280b61eb63ac11777029f9", "title": "When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09757.pdf"], "doi": []}, {"id": "aca273a9350b10b6e2ef84f0e3a327255207d0f5", "title": "Aalborg Universitet On Soft Biometrics", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aca2/73a9350b10b6e2ef84f0e3a327255207d0f5.pdf"], "doi": []}, {"id": "c398684270543e97e3194674d9cce20acaef3db3", "title": "Chapter 2 Comparative Face Soft Biometrics for Human Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c398/684270543e97e3194674d9cce20acaef3db3.pdf"], "doi": []}, {"id": "fe866887d3c26ee72590c440ed86ffc80e980293", "title": "Understanding Human Aging Patterns from a Machine Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397011", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00055", "http://doi.org/10.1109/MIPR.2018.00055"]}, {"id": "469ee1b00f7bbfe17c698ccded6f48be398f2a44", "title": "SURVEy : Techniques for Aging Problems in Face Recognition", "year": "", "pdf": ["https://pdfs.semanticscholar.org/469e/e1b00f7bbfe17c698ccded6f48be398f2a44.pdf"], "doi": []}, {"id": "9e28243f047cc9f62a946bf87abedb65b0da0f0a", "title": "Can We Minimize the Influence Due to Gender and Race in Age Estimation?", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6786126", "http://doi.org/10.1109/ICMLA.2013.141"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "fc2b5fa51a275af4c96029ca18789504f9f55393", "title": "Relationships Self-Learning Based Gender-Aware Age Estimation", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-019-09993-9"]}, {"id": "a608c5f8fd42af6e9bd332ab516c8c2af7063c61", "title": "Age Estimation via Grouping and Decision Fusion", "year": "2015", "pdf": ["http://mcl.usc.edu/wp-content/uploads/2016/01/Liu-TIFS-2015-10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7173035", "http://doi.org/10.1109/TIFS.2015.2462732"]}, {"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10462-018-9661-z"]}, {"id": "49e1aa3ecda55465641b2c2acc6583b32f3f1fc6", "title": "Support Vector Machine for age classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/49e1/aa3ecda55465641b2c2acc6583b32f3f1fc6.pdf"], "doi": []}, {"id": "d7c2f972c21290e9df8cce1b4f89389983268cb7", "title": "Deep Regression Forests for Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578343"]}, {"id": "75650bfc20036d99314f7ddae8f2baecde3d57e2", "title": "Concave Losses for Robust Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00659.pdf"], "doi": []}, {"id": "b47a3c909ee9b099854619054fd00e200b944aa9", "title": "Deeply-Learned Feature for Age Estimation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045931", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.77", "http://doi.org/10.1109/WACV.2015.77"]}, {"id": "37eb666b7eb225ffdafc6f318639bea7f0ba9a24", "title": "Age , Gender and Race Estimation from Unconstrained Face Images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/37eb/666b7eb225ffdafc6f318639bea7f0ba9a24.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "c1482491f553726a8349337351692627a04d5dbe", "title": "When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00048.pdf"], "doi": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "year": "2016", "pdf": ["https://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2016/F1b-PR2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.12.003"]}, {"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780901"]}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"], "doi": []}, {"id": "b234d429c9ea682e54fca52f4b889b3170f65ffc", "title": "A Concatenational Graph Evolution Aging Model", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6127881", "http://doi.org/10.1109/TPAMI.2012.22", "https://www.ncbi.nlm.nih.gov/pubmed/22997125", "https://www.wikidata.org/entity/Q50783988"]}, {"id": "166186e551b75c9b5adcc9218f0727b73f5de899", "title": "Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1661/86e551b75c9b5adcc9218f0727b73f5de899.pdf"], "doi": []}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961736", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.28", "http://doi.org/10.1109/FG.2017.28"]}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "132cc530230cb869318b0a9d81a717077895db38", "title": "Emancipation of Upper Bound Greedy Algorithm in Detection of Nodes in Social Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/132c/c530230cb869318b0a9d81a717077895db38.pdf"], "doi": []}, {"id": "7b1ca9a74ab7fbfc32a69e8313ca2f2d78ac6c35", "title": "Comparison of Three Different CNN Architectures for Age Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7889565", "http://doi.ieeecomputersociety.org/10.1109/ICSC.2017.61", "http://doi.org/10.1109/ICSC.2017.61"]}, {"id": "23d55061f7baf2ffa1c847d356d8f76d78ebc8c1", "title": "Generic and attribute-specific deep representations for maritime vessels", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0033-4?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0033-4"]}, {"id": "48cfc5789c246c6ad88ff841701204fc9d6577ed", "title": "Age Invariant Face Recognition Based on DCT Feature Extraction and Kernel Fisher Analysis", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/48cf/c5789c246c6ad88ff841701204fc9d6577ed.pdf"], "doi": []}, {"id": "2133475ba633c732292ccf405f07a0baea9d01b3", "title": "Demographic-Assisted Age-Invariant Face Recognition and Retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.3390/sym10050148"]}, {"id": "4ef09fe9f7fa027427414cf1f2e9050ac7f5e34d", "title": "A proposed method for the improvement in biometric facial image recognition using document-based classification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11227-018-2408-4"]}, {"id": "7195cb08ba2248f3214f5dc5d7881533dd1f46d9", "title": "Age Regression Based on Local Image Features", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5673820", "http://biblio.telecom-paristech.fr/cgi-bin/download.cgi?id=10558"]}, {"id": "1f3f7df159c338884ddfd38ee2d3ba2e1e3ada69", "title": "Self-enhancement Influences Medial Frontal Cortex Alpha Power to Social Rejection Feedback", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1162/jocn_a_00645", "https://www.ncbi.nlm.nih.gov/pubmed/24738770", "https://www.wikidata.org/entity/Q47778683"]}, {"id": "9cdb311463aca8ab3f2619e390635ea42ca02097", "title": "Cubic norm and kernel-based bi-directional PCA: toward age-aware facial kinship verification", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-017-1442-1"]}, {"id": "df674dc0fc813c2a6d539e892bfc74f9a761fbc8", "title": "An Image Mining System for Gender Classification & Age Prediction Based on Facial Features", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/df67/4dc0fc813c2a6d539e892bfc74f9a761fbc8.pdf"], "doi": []}, {"id": "18ae88aef1a69f1a475bf41b03ad226bb66f40f4", "title": "Hybrid Ageing Patterns for face age estimation", "year": "2018", "pdf": ["https://e-space.mmu.ac.uk/619011/1/revised_manuscript.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2017.08.005", "https://www.wikidata.org/entity/Q58796144"]}, {"id": "af12a79892bd030c19dfea392f7a7ccb0e7ebb72", "title": "A study on human age estimation under facial expression changes", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247972", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247972", "http://doi.org/10.1109/CVPR.2012.6247972"]}, {"id": "59fe66eeb06d1a7e1496a85f7ffc7b37512cd7e5", "title": "Robust feature encoding for age-invariant face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552862", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552862", "http://doi.org/10.1109/ICME.2016.7552862"]}, {"id": "3edb0fa2d6b0f1984e8e2c523c558cb026b2a983", "title": "Automatic Age Estimation Based on Facial Aging Patterns", "year": "2007", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tpami07.pdf", "http://cse.seu.edu.cn/PersonalPage/xgeng/files/tpami07.pdf", "http://dro.deakin.edu.au/eserv/DU:30007652/geng-automaticage-2007.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4359348", "http://doi.org/10.1109/TPAMI.2007.70733", "https://www.ncbi.nlm.nih.gov/pubmed/17934231", "https://www.wikidata.org/entity/Q50890131"]}, {"id": "fa24bf887d3b3f6f58f8305dcd076f0ccc30272a", "title": "Interval Insensitive Loss for Ordinal Classification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/84a6/4425ab3d590d669525229c84d7d1bfcea554.pdf"], "doi": []}, {"id": "b5f9306c3207ac12ac761e7d028c78b3009a219c", "title": "Age estimation based on extended non-negative matrix factorization", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6093779", "http://doi.org/10.1109/MMSP.2011.6093779", "http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2788&context=infopapers"]}, {"id": "9cb5f62995c9b5413164e896294ac695413823d9", "title": "Binary Coding based Label Distribution Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9cb5/f62995c9b5413164e896294ac695413823d9.pdf"], "doi": []}, {"id": "fcd3d69b418d56ae6800a421c8b89ef363418665", "title": "Effects of Aging over Facial Feature Analysis and Face Recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fcd3/d69b418d56ae6800a421c8b89ef363418665.pdf"], "doi": []}, {"id": "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "title": "Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578147"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "7c8909da44e89a78fe88e815c83a4ced34f99149", "title": "Multi-classifier Q-stack Aging Model for Adult Face Verification", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597781", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.326", "http://doi.org/10.1109/ICPR.2010.326"]}, {"id": "88337c4ca3eeb00538b9a1ac54180d02187c68db", "title": "Learning Face Age Progression: A Pyramid Architecture of GANs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578109"]}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813020", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2016.021", "http://doi.org/10.1109/SIBGRAPI.2016.021"]}, {"id": "be7444c891caf295d162233bdae0e1c79791d566", "title": "Face Recognition Performance under Aging", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/DebBestRowdenJain_FaceRecognitionPerformanceUnderAging_CVPRW17.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Deb_Face_Recognition_Performance_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/CVPR2017_Lacey_v2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014816", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.82", "http://doi.org/10.1109/CVPRW.2017.82"]}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "69ff40fd5ce7c3e6db95a2b63d763edd8db3a102", "title": "HUMAN AGE ESTIMATION VIA GEOMETRIC AND TEXTURAL FEATURES", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/69ff/40fd5ce7c3e6db95a2b63d763edd8db3a102.pdf"], "doi": []}, {"id": "414d78e32ac41e6ff8b192bc095fe55f865a02f4", "title": "Dual-reference Face Retrieval: What Does He/She Look Like at Age 'X'?", "year": "2017", "pdf": [], "doi": []}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961796", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.75", "http://doi.org/10.1109/FG.2017.75"]}, {"id": "76a52ebfc5afd547f8b73430ec81456cf25ddd69", "title": "Gender and age recognition for video analytics solution", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7041914", "http://doi.ieeecomputersociety.org/10.1109/AIPR.2014.7041914", "http://doi.org/10.1109/AIPR.2014.7041914"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "title": "Group-aware deep feature learning for facial age estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Group-aware%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.026"]}, {"id": "59cdafed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1", "title": "Classification of Age Estimation based on Neural Networks Features by using Data mining", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/59cd/afed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1.pdf"], "doi": []}, {"id": "23675cb2180aac466944df0edda4677a77c455cd", "title": "Age Estimation Using AAM and Local Facial Features", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5337138", "http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2009.142", "http://doi.org/10.1109/IIH-MSP.2009.142"]}, {"id": "4e8f301dbedc9063831da1306b294f2bd5b10477", "title": "Discriminating Power of FISWG Characteristic Descriptors Under Different Forensic Use Cases", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7736919", "http://doi.org/10.1109/BIOSIG.2016.7736919", "https://dl.gi.de/20.500.12116/1208"]}, {"id": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961738", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.30", "http://doi.org/10.1109/FG.2017.30"]}, {"id": "3d94f81cf4c3a7307e1a976dc6cb7bf38068a381", "title": "Data-Dependent Label Distribution Learning for Age Estimation", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip17_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7822912", "http://doi.org/10.1109/TIP.2017.2655445", "https://www.ncbi.nlm.nih.gov/pubmed/28103557", "https://www.wikidata.org/entity/Q31155396"]}, {"id": "65b3bee001f1d62a35802b9f1ebd17c90e87b022", "title": "An Evaluation of Classification Performance for Facial Analytics on Diverse Datasets", "year": "2013", "pdf": [], "doi": []}, {"id": "cce332405ce9cd9dccc45efac26d1d614eaa982d", "title": "A Ranking Approach for Human Ages Estimation Based on Face Images", "year": "2010", "pdf": ["http://www.iis.sinica.edu.tw/papers/song/10774-F.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597533", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.829", "http://doi.org/10.1109/ICPR.2010.829"]}, {"id": "25bcd5aa3bbe56c992547fba683418655b46fc4a", "title": "Pyramid multi-level features for facial demographic estimation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.03.030"]}, {"id": "0f112e49240f67a2bd5aaf46f74a924129f03912", "title": "Age-Invariant Face Recognition", "year": "2010", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/ParkTongJain_AgeInvariantFaceRecognition_PAMI10.pdf", "http://www.asmgroup.edu.in/incon/publication/incon13-it-042.pdf", "http://www.svcl.ucsd.edu/~nikux/age/Age%20Invariant%20Face%20Recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5383364", "http://doi.org/10.1109/TPAMI.2010.14", "https://www.ncbi.nlm.nih.gov/pubmed/20299717", "https://www.wikidata.org/entity/Q51712786"]}, {"id": "cb004e9706f12d1de83b88c209ac948b137caae0", "title": "Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01186.pdf"], "doi": []}, {"id": "e9fcd15bcb0f65565138dda292e0c71ef25ea8bb", "title": "Analysing Facial Regions for Face Recognition Using Forensic Protocols", "year": "2013", "pdf": ["https://repositorio.uam.es/xmlui/bitstream/handle/10486/663763/analysing_tome_CCIS_2013_ps.pdf?sequence=3"], "doi": ["http://doi.org/10.1007/978-3-642-38061-7_22"]}, {"id": "68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5", "title": "AGE CLASSIFICATION BASED ON SIMPLE LBP TRANSITIONS", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/68a2/ee5c5b76b6feeb3170aaff09b1566ec2cdf5.pdf"], "doi": []}, {"id": "f214bcc6ecc3309e2efefdc21062441328ff6081", "title": "Speaker verification in score-ageing-quality classification space", "year": "2013", "pdf": ["http://www.mee.tcd.ie/~sigmedia/pmwiki/uploads/Main.Publications/kelly_sv_score_age_quality.pdf", "http://www.researchgate.net/profile/Finnian_Kelly/publication/257267643_Speaker_verification_in_score-ageing-quality_classification_space/links/0f317532b07efcaf77000000.pdf"], "doi": ["http://doi.org/10.1016/j.csl.2012.12.005"]}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "437642cfc8c34e445ea653929e2d183aaaeeb704", "title": "Component Biologically Inspired Features with Moving Segmentation for Age Estimation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Hsu_Component_Biologically_Inspired_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/Component_Biologically_Inspired_Features_with_Moving_Segmentation_for_Age_Estimation_rev.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014815", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.81", "http://doi.org/10.1109/CVPRW.2017.81"]}, {"id": "28715fc79bd5ff8dd8b6fc68a4f2641e5d1b8a08", "title": "Deep Label Distribution Learning for Apparent Age Estimation", "year": "2015", "pdf": ["http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE_slide.pdf", "http://lamda.nju.edu.cn/weixs/publication/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/weixs/slide/iccvw15_AGE_slide.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Huo_Deep_Age_Distribution_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Yang_Deep_Label_Distribution_ICCV_2015_paper.pdf", "https://cs.nju.edu.cn/wujx/paper/LaP_ICCV2015_24.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406402", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.53", "http://doi.org/10.1109/ICCVW.2015.53"]}, {"id": "d82b93f848d5442f82154a6011d26df8a9cd00e7", "title": "NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d82b/93f848d5442f82154a6011d26df8a9cd00e7.pdf"], "doi": []}, {"id": "070c8ee3876c06f9a65693e536d61097ace40417", "title": "How Do Facial Expressions Contribute to Age Prediction?", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778457", "http://doi.org/10.1109/ACPR.2013.161"]}, {"id": "97d1d561362a8b6beb0fdbee28f3862fb48f1380", "title": "Age Synthesis and Estimation via Faces: A Survey", "year": "2010", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapersOnWeb/PAMI10Guo.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5406526", "http://doi.org/10.1109/TPAMI.2010.36", "https://www.ncbi.nlm.nih.gov/pubmed/20847387", "https://www.wikidata.org/entity/Q37789567"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "5b9d9f5a59c48bc8dd409a1bd5abf1d642463d65", "title": "An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5b9d/9f5a59c48bc8dd409a1bd5abf1d642463d65.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "13f03aab62fc29748114a0219426613cf3ba76ae", "title": "MORPH-II: Feature Vector Documentation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/13f0/3aab62fc29748114a0219426613cf3ba76ae.pdf"], "doi": []}, {"id": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"], "doi": []}, {"id": "15e0b9ba3389a7394c6a1d267b6e06f8758ab82b", "title": "The OU-ISIR Gait Database comprising the Large Population Dataset with Age and performance evaluation of age estimation", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0035-2?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0035-2"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"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": "931f99bc6865d3d0c80c15d5b1c05338dfe98982", "title": "Identification of Aging Faces Using A-Stack Classification Model", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5302130"]}, {"id": "0f92e9121e9c0addc35eedbbd25d0a1faf3ab529", "title": "MORPH-II : A Proposed Subsetting Scheme", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f92/e9121e9c0addc35eedbbd25d0a1faf3ab529.pdf"], "doi": []}, {"id": "7ad7897740e701eae455457ea74ac10f8b307bed", "title": "Random Subspace Two-dimensional LDA for Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00575.pdf"], "doi": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}, {"id": "f4251e02f87ac3fcae70bdb313f13ed16ff6ff0a", "title": "Identification using face regions: application and assessment in forensic scenarios.", "year": "2013", "pdf": ["http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTome.pdf", "http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "http://audias.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "https://repositorio.uam.es/bitstream/handle/10486/663052/identification_tome_FSI_2013_ps.pdf?sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/24314504", "http://doi.org/10.1016/j.forsciint.2013.08.020"]}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "4a0b18fab67724313cafc35495af9dc5454fa6af", "title": "Sexually Dimorphic Faciometrics in Humans From Early Adulthood to Late Middle Age: Dynamic, Declining, and Differentiated.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a0b/18fab67724313cafc35495af9dc5454fa6af.pdf"], "doi": []}, {"id": "1890470d07a090e7b762091c7b9670b5c2e1c348", "title": "Improving Random Forests by Correlation-Enhancing Projections and Sample-Based Sparse Discriminant Selection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801525", "http://doi.ieeecomputersociety.org/10.1109/CRV.2016.20", "http://doi.org/10.1109/CRV.2016.20"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "c8b89de8d63d68166b3373e451916bf35e74d2f4", "title": "Hierarchical Facial Age Estimation Using Gaussian Process Regression", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8601185"]}, {"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.06149.pdf"], "doi": []}, {"id": "fc04a50379e08ddde501816eb1f9560c36d01a39", "title": "Image Pre-processing Using OpenCV Library on MORPH-II Face Database", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06934.pdf"], "doi": []}, {"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"id": "1ae3a26a985fe525b23f080a9e1041ecff0509ad", "title": "A Comparative Study of Statistical Conversion of Face to Voice Based on Their Subjective Impressions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ae3/a26a985fe525b23f080a9e1041ecff0509ad.pdf"], "doi": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "7553fba5c7f73098524fbb58ca534a65f08e91e7", "title": "A Practical Approach for Determination of Human Gender & Age", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7553/fba5c7f73098524fbb58ca534a65f08e91e7.pdf"], "doi": []}, {"id": "997c7ebf467c579b55859315c5a7f15c1df43432", "title": "A Study of Convolutional Sparse Feature Learning for Human Age Estimate", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961792", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.141", "http://doi.org/10.1109/FG.2017.141"]}, {"id": "e2d4ead809ea9488be7e68caea0e7c2fcfce3fa1", "title": "A deep analysis on age estimation", "year": "2015", "pdf": ["http://www.hertasecurity.com/sites/default/files/publication/files/A-Deep-Analysis-on-Age-Estimation2.pdf", "https://upcommons.upc.edu/bitstream/handle/2117/83918/A%20deep%20analysis%20on%20age%20estimation.pdf?isAllowed=y&sequence=6"], "doi": ["https://doi.org/10.1016/j.patrec.2015.06.006", "https://www.wikidata.org/entity/Q57724169"]}, {"id": "1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6", "title": "Demographic Estimation from Face Images: Human vs. Machine Performance", "year": "2015", "pdf": ["http://cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf", "http://www.cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6920084", "http://doi.org/10.1109/TPAMI.2014.2362759", "https://www.ncbi.nlm.nih.gov/pubmed/26357339", "https://www.wikidata.org/entity/Q40552843"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977254", "http://doi.org/10.1109/ICPR.2014.542"]}, {"id": "3b1260d78885e872cf2223f2c6f3d6f6ea254204", "title": "Face Tracking and Recognition at a Distance: A Coaxial and Concentric PTZ Camera System", "year": "2013", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Choietal_FaceTrackingRecognitionDistancePTZCameraSystem.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Parketal_FaceTrackingRecognitionDistance_CoaxialConcentricPTZCameraSystem_TIFS13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512016", "http://doi.org/10.1109/TIFS.2013.2261061"]}, {"id": "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "title": "Age estimation via unsupervised neural networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163119", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163119", "http://doi.org/10.1109/FG.2015.7163119"]}, {"id": "744d23991a2c48d146781405e299e9b3cc14b731", "title": "Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection", "year": "2016", "pdf": ["http://www.cise.ufl.edu/~dihong/assets/LPS2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7420684", "http://doi.org/10.1109/TIP.2016.2535284", "https://www.ncbi.nlm.nih.gov/pubmed/26930681"]}, {"id": "362a70b6e7d55a777feb7b9fc8bc4d40a57cde8c", "title": "A partial least squares based ranker for fast and accurate age estimation", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0002792.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472186", "http://doi.org/10.1109/ICASSP.2016.7472186"]}, {"id": "87b607b8d4858a16731144d17f457a54e488f15d", "title": "Cross-Age Face Recognition on a Very Large Database: The Performance versus Age Intervals and Improvement Using Soft Biometric Traits", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Karl_Ricanek/publication/220931837_Cross-Age_Face_Recognition_on_a_Very_Large_Database_The_Performance_versus_Age_Intervals_and_Improvement_Using_Soft_Biometric_Traits/links/02bfe50d46b635ff13000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597532", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.828", "http://doi.org/10.1109/ICPR.2010.828"]}, {"id": "6e198f6cc4199e1c4173944e3df6f39a302cf787", "title": "MORPH-II : Inconsistencies and Cleaning Whitepaper", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e19/8f6cc4199e1c4173944e3df6f39a302cf787.pdf"], "doi": []}, {"id": "d9810786fccee5f5affaef59bc58d2282718af9b", "title": "Adaptive Frame Selection for Enhanced Face Recognition in Low-Resolution Videos", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d981/0786fccee5f5affaef59bc58d2282718af9b.pdf"], "doi": []}, {"id": "a534f41608ee0157ff002a0d5e5d39deb0d34797", "title": "On soft biometrics", "year": "2015", "pdf": ["http://vbn.aau.dk/files/219488771/on_softbiometrics_preprint.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2015.08.006", "https://www.wikidata.org/entity/Q57724073"]}, {"id": "0c6a566ebdac4bd14e80cd6bf4631bc7458e1595", "title": "Local descriptors in application to the aging problem in face recognition", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2013.03.010"]}, {"id": "bc6de183cd8b2baeebafeefcf40be88468b04b74", "title": "Age Group Recognition using Human Facial Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e057/e713301e089887295543226b79b534fdd145.pdf"], "doi": []}, {"id": "79581c364cefe53bff6bdd224acd4f4bbc43d6d4", "title": "Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.06838.pdf"], "doi": []}, {"id": "40033c6a0b534a6023a78ee2a144edd7f10fa696", "title": "Facial soft biometric features for forensic face recognition.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_FSI_ForensicFacialFeat_PTome_final.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26454196", "https://doi.org/10.1016/j.forsciint.2015.09.002"]}, {"id": "3c0bbfe664fb083644301c67c04a7f1331d9515f", "title": "The Role of Color and Contrast in Facial Age Estimation Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3c0b/bfe664fb083644301c67c04a7f1331d9515f.pdf"], "doi": []}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893", "http://doi.org/10.1109/TMM.2015.2420374"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "8c5cf18c456957c63248245791f44a685e832345", "title": "Implementation of perceptual resemblance of local plastic surgery facial images using Near Sets", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7193017"]}, {"id": "72cd5d81e4541c80c611a9bcab85bdcf14d5f028", "title": "Age group classification based on facial images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/72cd/5d81e4541c80c611a9bcab85bdcf14d5f028.pdf"], "doi": []}, {"id": "1135a818b756b057104e45d976546970ba84e612", "title": "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961848", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.118", "http://doi.org/10.1109/FG.2017.118"]}, {"id": "dcb44fc19c1949b1eda9abe998935d567498467d", "title": "Ordinal Zero-Shot Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/dcb4/4fc19c1949b1eda9abe998935d567498467d.pdf"], "doi": []}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014811", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.77", "http://doi.org/10.1109/CVPRW.2017.77"]}, {"id": "60ce4a9602c27ad17a1366165033fe5e0cf68078", "title": "Combination of Face Regions in Forensic Scenarios.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_JFO_FaceRegionFusion_Tome.pdf", "http://atvs.ii.uam.es/files/2015_JFO_FaceRegionFusion_Tome.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26189995", "http://doi.org/10.1111/1556-4029.12800"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "e16efd2ae73a325b7571a456618bfa682b51aef8", "title": "Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/93f8/4b8200aeba68af767c4f143233829e8ce6d9.pdf"], "doi": []}, {"id": "f47404424270f6a20ba1ba8c2211adfba032f405", "title": "Identification of Face Age range Group using Neural Network", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f474/04424270f6a20ba1ba8c2211adfba032f405.pdf"], "doi": []}, {"id": "b034cc919af30e96ee7bed769b93ea5828ae361b", "title": "Soft-Margin Mixture of Regressions", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Soft-Margin_Mixture_of_CVPR_2017_paper.pdf", "http://www.ca.cs.cmu.edu/sites/default/files/08099915.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099915", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.432", "http://doi.org/10.1109/CVPR.2017.432"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "621741b87258c745f8905d15ba81aaf2a8be60d2", "title": "A Study of Geometric Features for Aging Face Recognition", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5659191"]}, {"id": "574751dbb53777101502419127ba8209562c4758", "title": "Gender classification from unaligned facial images using support subspaces", "year": "2013", "pdf": ["http://ochoa.pc.cs.cmu.edu/wschu/papers/doc/ins13-gender.pdf"], "doi": ["http://doi.org/10.1016/j.ins.2012.09.008"]}, {"id": "c05a7c72e679745deab9c9d7d481f7b5b9b36bdd", "title": "Naval Postgraduate School Monterey, California Approved for Public Release; Distribution Is Unlimited Biometric Challenges for Future Deployments: a Study of the Impact of Geography, Climate, Culture, and Social Conditions on the Effective Collection of Biometrics", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c05a/7c72e679745deab9c9d7d481f7b5b9b36bdd.pdf"], "doi": []}, {"id": "09111da0aedb231c8484601444296c50ca0b5388", "title": "Joint estimation of age, gender and ethnicity: CCA vs. PLS", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553737.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553737", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553737", "http://doi.org/10.1109/FG.2013.6553737"]}, {"id": "d3c004125c71942846a9b32ae565c5216c068d1e", "title": "Recognizing Age-Separated Face Images: Humans and Machines", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d3c0/04125c71942846a9b32ae565c5216c068d1e.pdf"], "doi": []}, {"id": "362ba8317aba71c78dafca023be60fb71320381d", "title": "Nighttime face recognition at large standoff: Cross-distance and cross-spectral matching", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/KangHanJainLee_NighttimeFRatLargeStandoff_P.R.2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.06.004"]}, {"id": "2c8743089d9c7df04883405a31b5fbe494f175b4", "title": "Real-time full-body human gender recognition in (RGB)-D data", "year": "2015", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/linderICRA15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139616", "http://doi.org/10.1109/ICRA.2015.7139616"]}, {"id": "63488398f397b55552f484409b86d812dacde99a", "title": "Learning Universal Multiview Age Estimator by Video Contexts", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6348/8398f397b55552f484409b86d812dacde99a.pdf"], "doi": []}, {"id": "b1301c722886b6028d11e4c2084ee96466218be4", "title": "Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02740.pdf"], "doi": []}, {"id": "e5dfd17dbfc9647ccc7323a5d62f65721b318ba9", "title": "Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e5df/d17dbfc9647ccc7323a5d62f65721b318ba9.pdf"], "doi": []}, {"id": "1035536e484a167e3f7d7edca8de9cd5917383ec", "title": "UvA-DARE ( Digital Academic Repository ) Expression-Invariant Age Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0da7/e3fabea12a9242348df62de7754b2be28b44.pdf"], "doi": []}, {"id": "6e12ba518816cbc2d987200c461dc907fd19f533", "title": "A computational approach to body mass index prediction from face images", "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapers/BMIface2013.pdf", "http://www.csee.wvu.edu/~gdguo/myPapers/BMIface2013.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2013.03.001"]}, {"id": "a01f9461bc8cf8fe40c26d223ab1abea5d8e2812", "title": "Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a01f/9461bc8cf8fe40c26d223ab1abea5d8e2812.pdf"], "doi": []}, {"id": "03b31cbb8e64dc9402b76287f06f15840acff3f1", "title": "Privacy-Protective-GAN for Privacy Preserving Face De-Identification", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11390-019-1898-8"]}, {"id": "5f09018d330f8d62b9abd83d44f1097d945508e4", "title": "Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03268.pdf"], "doi": []}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301352", "http://doi.org/10.1109/CVPRW.2015.7301352"]}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "ac26166857e55fd5c64ae7194a169ff4e473eb8b", "title": "Personalized Age Progression with Bi-Level Aging Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01039.pdf"], "doi": []}, {"id": "4aeb87c11fb3a8ad603311c4650040fd3c088832", "title": "Self-paced Mixture of Regressions", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4aeb/87c11fb3a8ad603311c4650040fd3c088832.pdf"], "doi": []}, {"id": "d09df8a2e7cfef667e7836a157d0d26658be788f", "title": "Cumulative attribute relation regularization learning for human age estimation", "year": "2015", "pdf": ["http://parnec.nuaa.edu.cn/pubs/songcan%20chen/journal/2015/TQ-Neucom-2015.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2015.03.078"]}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"], "doi": []}, {"id": "8cffe360a05085d4bcba111a3a3cd113d96c0369", "title": "Learning universal multi-view age estimator using video context", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126248", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126248", "http://doi.org/10.1109/ICCV.2011.6126248"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7094272", "http://doi.org/10.1109/TIP.2015.2426413", "https://www.ncbi.nlm.nih.gov/pubmed/25915959"]}, {"id": "35e4b6c20756cd6388a3c0012b58acee14ffa604", "title": "Gender Classification in Large Databases", "year": "2012", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15085/5/C082_LNCS_CIARP12_postprint.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33275-3_9"]}, {"id": "197eaa59a003a4c7cc77c1abe0f99d942f716942", "title": "Web image mining towards universal age estimator", "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1631287"]}, {"id": "812d3f6975f4cb87e9905ef18696c5c779227634", "title": "A novel comparative deep learning framework for facial age estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/812d/3f6975f4cb87e9905ef18696c5c779227634.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/morph_nc.json b/site/datasets/unknown/morph_nc.json index 1c41fd5c..65c8c050 100644 --- a/site/datasets/unknown/morph_nc.json +++ b/site/datasets/unknown/morph_nc.json @@ -1 +1 @@ -{"id": "9055b155cbabdce3b98e16e5ac9c0edf00f9552f", "citations": [{"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "fa23122db319440fb5a7253e19709f992b4571b9", "title": "Human Age Estimation via Geometric and Textural Features", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fa23/122db319440fb5a7253e19709f992b4571b9.pdf"], "doi": []}, {"id": "7bc1e7d000ab517161a83b1fedf353e619516ddf", "title": "Age group classification via structured fusion of uncertainty-driven shape features and selected surface features", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836068", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836068", "http://doi.org/10.1109/WACV.2014.6836068"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "72c0c8deb9ea6f59fde4f5043bff67366b86bd66", "title": "Age progression in Human Faces : A Survey", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/72c0/c8deb9ea6f59fde4f5043bff67366b86bd66.pdf"], "doi": []}, {"id": "53facf0d786366430886eff2fb7bf6da236b2899", "title": "Gender and Ethnicity Classification Using Partial Face in Biometric Applications", "year": "2014", "pdf": [], "doi": []}, {"id": "ed32df6b122b15a52238777c9993ed31107b4bed", "title": "Age face simulation using aging functions on global and local features with residual images", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.03.008"]}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"], "doi": []}, {"id": "083a2bc86e0984968b06593ba06654277b252f00", "title": "Neural evidence for the contribution of holistic processing but not attention allocation to the other-race effect on face memory.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/083a/2bc86e0984968b06593ba06654277b252f00.pdf"], "doi": []}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237444", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.182", "http://doi.org/10.1109/ICCV.2017.182"]}, {"id": "0fc5c6f06e40014a56f492172f44c073d269e95c", "title": "Genetic and evolutionary biometrics: Exploring value preference space for hybrid feature weighting and selection", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1108/17563781311301490"]}, {"id": "15f3d47b48a7bcbe877f596cb2cfa76e798c6452", "title": "Automatic face analysis tools for interactive digital games", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/15f3/d47b48a7bcbe877f596cb2cfa76e798c6452.pdf"], "doi": []}, {"id": "e198a7b9e61dd19c620e454aaa81ae8f7377ade0", "title": "A hierarchical approach to facial aging", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543611", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543611", "http://doi.org/10.1109/CVPRW.2010.5543611"]}, {"id": "29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Kuang_Deeply_Learned_Rich_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406401", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.52", "http://doi.org/10.1109/ICCVW.2015.52"]}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "title": "Dual Conditional GANs for Face Aging and Rejuvenation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93e9/62f8886eae13b02ad2aa98bdedfbd7e68709.pdf"], "doi": []}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "3dce635ce4b55fb63fc6d41b38640403b152a048", "title": "The Impact of Age and Threshold Variation on Facial Recognition Algorithm Performance Using Images of Children", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411225", "http://doi.org/10.1109/ICB2018.2018.00041"]}, {"id": "fa160e14172ba5b825488d961c7e6e7787a26cd3", "title": "Improving Gender Classification Accuracy in the Wild", "year": "2013", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15087/5/C085_LNCS_CIARP13_postprint.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-41827-3_34"]}, {"id": "44fb4dcf88eb482e2ab79fd4540caf941613b970", "title": "Perceived Age Estimation under Lighting Condition Change by Covariate Shift Adaptation", "year": "2010", "pdf": ["http://www.ms.k.u-tokyo.ac.jp/2010/ICPR2010a.pdf", "http://www.researchgate.net/profile/Masashi_Sugiyama/publication/220930547_Perceived_Age_Estimation_under_Lighting_Condition_Change_by_Covariate_Shift_Adaptation/links/0fcfd5122b4d406edd000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597530", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.830", "http://doi.org/10.1109/ICPR.2010.830"]}, {"id": "4465b754ac93e330facee245b4da0c822cc58441", "title": "A comprehensive age estimation on face images using hybrid filter based feature extraction", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e87/06fab62a5716c30a245e5963f51793e1d0ed.pdf"], "doi": []}, {"id": "5058a7ec68c32984c33f357ebaee96c59e269425", "title": "A Comparative Evaluation of Regression Learning Algorithms for Facial Age Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5058/a7ec68c32984c33f357ebaee96c59e269425.pdf"], "doi": []}, {"id": "8d8461ed57b81e05cc46be8e83260cd68a2ebb4d", "title": "Age identification of Facial Images using Neural Network", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8d84/61ed57b81e05cc46be8e83260cd68a2ebb4d.pdf"], "doi": []}, {"id": "289cfcd081c4393c7d6f63510747b5372202f855", "title": "Detecting Decision Ambiguity from Facial Images", "year": "2018", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373873", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00080", "http://doi.org/10.1109/FG.2018.00080"]}, {"id": "2bbbbe1873ad2800954058c749a00f30fe61ab17", "title": "Face Verification across Ages Using Self Organizing Map", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2bbb/be1873ad2800954058c749a00f30fe61ab17.pdf"], "doi": []}, {"id": "f1748303cc02424704b3a35595610890229567f9", "title": "Learning-based encoding with soft assignment for age estimation under unconstrained imaging conditions", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2012.07.009"]}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "3c6542295cf7fe362d7d629ac10670bf30cdabce", "title": "Hierarchical Aggregation Based Deep Aging Feature for Age Prediction", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371264", "http://doi.org/10.1109/DICTA.2015.7371264"]}, {"id": "22532c6e38ded690dc1420f05c18e23f6f24804d", "title": "Chapter 5 Genetic & Evolutionary Biometrics", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2253/2c6e38ded690dc1420f05c18e23f6f24804d.pdf"], "doi": []}, {"id": "7c11fa4fd91cb57e6e216117febcdd748e595760", "title": "Discriminant Feature Manifold for Facial Aging Estimation", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Hui_Fang2/publication/220932407_Discriminant_Feature_Manifold_for_Facial_Aging_Estimation/links/004635214d3e09ab00000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597453", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.150", "http://doi.org/10.1109/ICPR.2010.150"]}, {"id": "1e1e66783f51a206509b0a427e68b3f6e40a27c8", "title": "Semi-supervised estimation of perceived age from face images", "year": "2010", "pdf": [], "doi": []}, {"id": "29ce6b54a87432dc8371f3761a9568eb3c5593b0", "title": "Age Sensitivity of Face Recognition Algorithms", "year": "2013", "pdf": ["https://kar.kent.ac.uk/43222/1/Yatie_EST2013_vfinal.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6680176", "http://doi.ieeecomputersociety.org/10.1109/EST.2013.8", "http://doi.org/10.1109/EST.2013.8"]}, {"id": "3dda181be266950ba1280b61eb63ac11777029f9", "title": "When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09757.pdf"], "doi": []}, {"id": "aca273a9350b10b6e2ef84f0e3a327255207d0f5", "title": "Aalborg Universitet On Soft Biometrics", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aca2/73a9350b10b6e2ef84f0e3a327255207d0f5.pdf"], "doi": []}, {"id": "c398684270543e97e3194674d9cce20acaef3db3", "title": "Chapter 2 Comparative Face Soft Biometrics for Human Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c398/684270543e97e3194674d9cce20acaef3db3.pdf"], "doi": []}, {"id": "fe866887d3c26ee72590c440ed86ffc80e980293", "title": "Understanding Human Aging Patterns from a Machine Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397011", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00055", "http://doi.org/10.1109/MIPR.2018.00055"]}, {"id": "469ee1b00f7bbfe17c698ccded6f48be398f2a44", "title": "SURVEy : Techniques for Aging Problems in Face Recognition", "year": "", "pdf": ["https://pdfs.semanticscholar.org/469e/e1b00f7bbfe17c698ccded6f48be398f2a44.pdf"], "doi": []}, {"id": "9e28243f047cc9f62a946bf87abedb65b0da0f0a", "title": "Can We Minimize the Influence Due to Gender and Race in Age Estimation?", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6786126", "http://doi.org/10.1109/ICMLA.2013.141"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "fc2b5fa51a275af4c96029ca18789504f9f55393", "title": "Relationships Self-Learning Based Gender-Aware Age Estimation", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-019-09993-9"]}, {"id": "a608c5f8fd42af6e9bd332ab516c8c2af7063c61", "title": "Age Estimation via Grouping and Decision Fusion", "year": "2015", "pdf": ["http://mcl.usc.edu/wp-content/uploads/2016/01/Liu-TIFS-2015-10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7173035", "http://doi.org/10.1109/TIFS.2015.2462732"]}, {"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10462-018-9661-z"]}, {"id": "49e1aa3ecda55465641b2c2acc6583b32f3f1fc6", "title": "Support Vector Machine for age classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/49e1/aa3ecda55465641b2c2acc6583b32f3f1fc6.pdf"], "doi": []}, {"id": "d7c2f972c21290e9df8cce1b4f89389983268cb7", "title": "Deep Regression Forests for Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578343"]}, {"id": "75650bfc20036d99314f7ddae8f2baecde3d57e2", "title": "Concave Losses for Robust Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00659.pdf"], "doi": []}, {"id": "b47a3c909ee9b099854619054fd00e200b944aa9", "title": "Deeply-Learned Feature for Age Estimation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045931", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.77", "http://doi.org/10.1109/WACV.2015.77"]}, {"id": "37eb666b7eb225ffdafc6f318639bea7f0ba9a24", "title": "Age , Gender and Race Estimation from Unconstrained Face Images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/37eb/666b7eb225ffdafc6f318639bea7f0ba9a24.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "c1482491f553726a8349337351692627a04d5dbe", "title": "When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00048.pdf"], "doi": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "year": "2016", "pdf": ["https://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2016/F1b-PR2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.12.003"]}, {"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780901"]}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"], "doi": []}, {"id": "b234d429c9ea682e54fca52f4b889b3170f65ffc", "title": "A Concatenational Graph Evolution Aging Model", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6127881", "http://doi.org/10.1109/TPAMI.2012.22", "https://www.ncbi.nlm.nih.gov/pubmed/22997125", "https://www.wikidata.org/entity/Q50783988"]}, {"id": "166186e551b75c9b5adcc9218f0727b73f5de899", "title": "Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1661/86e551b75c9b5adcc9218f0727b73f5de899.pdf"], "doi": []}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961736", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.28", "http://doi.org/10.1109/FG.2017.28"]}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "132cc530230cb869318b0a9d81a717077895db38", "title": "Emancipation of Upper Bound Greedy Algorithm in Detection of Nodes in Social Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/132c/c530230cb869318b0a9d81a717077895db38.pdf"], "doi": []}, {"id": "7b1ca9a74ab7fbfc32a69e8313ca2f2d78ac6c35", "title": "Comparison of Three Different CNN Architectures for Age Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7889565", "http://doi.ieeecomputersociety.org/10.1109/ICSC.2017.61", "http://doi.org/10.1109/ICSC.2017.61"]}, {"id": "23d55061f7baf2ffa1c847d356d8f76d78ebc8c1", "title": "Generic and attribute-specific deep representations for maritime vessels", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0033-4?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0033-4"]}, {"id": "48cfc5789c246c6ad88ff841701204fc9d6577ed", "title": "Age Invariant Face Recognition Based on DCT Feature Extraction and Kernel Fisher Analysis", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/48cf/c5789c246c6ad88ff841701204fc9d6577ed.pdf"], "doi": []}, {"id": "2133475ba633c732292ccf405f07a0baea9d01b3", "title": "Demographic-Assisted Age-Invariant Face Recognition and Retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.3390/sym10050148"]}, {"id": "4ef09fe9f7fa027427414cf1f2e9050ac7f5e34d", "title": "A proposed method for the improvement in biometric facial image recognition using document-based classification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11227-018-2408-4"]}, {"id": "7195cb08ba2248f3214f5dc5d7881533dd1f46d9", "title": "Age Regression Based on Local Image Features", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5673820", "http://biblio.telecom-paristech.fr/cgi-bin/download.cgi?id=10558"]}, {"id": "1f3f7df159c338884ddfd38ee2d3ba2e1e3ada69", "title": "Self-enhancement Influences Medial Frontal Cortex Alpha Power to Social Rejection Feedback", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1162/jocn_a_00645", "https://www.ncbi.nlm.nih.gov/pubmed/24738770", "https://www.wikidata.org/entity/Q47778683"]}, {"id": "9cdb311463aca8ab3f2619e390635ea42ca02097", "title": "Cubic norm and kernel-based bi-directional PCA: toward age-aware facial kinship verification", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-017-1442-1"]}, {"id": "df674dc0fc813c2a6d539e892bfc74f9a761fbc8", "title": "An Image Mining System for Gender Classification & Age Prediction Based on Facial Features", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/df67/4dc0fc813c2a6d539e892bfc74f9a761fbc8.pdf"], "doi": []}, {"id": "18ae88aef1a69f1a475bf41b03ad226bb66f40f4", "title": "Hybrid Ageing Patterns for face age estimation", "year": "2018", "pdf": ["https://e-space.mmu.ac.uk/619011/1/revised_manuscript.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2017.08.005", "https://www.wikidata.org/entity/Q58796144"]}, {"id": "af12a79892bd030c19dfea392f7a7ccb0e7ebb72", "title": "A study on human age estimation under facial expression changes", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247972", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247972", "http://doi.org/10.1109/CVPR.2012.6247972"]}, {"id": "59fe66eeb06d1a7e1496a85f7ffc7b37512cd7e5", "title": "Robust feature encoding for age-invariant face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552862", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552862", "http://doi.org/10.1109/ICME.2016.7552862"]}, {"id": "3edb0fa2d6b0f1984e8e2c523c558cb026b2a983", "title": "Automatic Age Estimation Based on Facial Aging Patterns", "year": "2007", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tpami07.pdf", "http://cse.seu.edu.cn/PersonalPage/xgeng/files/tpami07.pdf", "http://dro.deakin.edu.au/eserv/DU:30007652/geng-automaticage-2007.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4359348", "http://doi.org/10.1109/TPAMI.2007.70733", "https://www.ncbi.nlm.nih.gov/pubmed/17934231", "https://www.wikidata.org/entity/Q50890131"]}, {"id": "fa24bf887d3b3f6f58f8305dcd076f0ccc30272a", "title": "Interval Insensitive Loss for Ordinal Classification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/84a6/4425ab3d590d669525229c84d7d1bfcea554.pdf"], "doi": []}, {"id": "b5f9306c3207ac12ac761e7d028c78b3009a219c", "title": "Age estimation based on extended non-negative matrix factorization", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6093779", "http://doi.org/10.1109/MMSP.2011.6093779", "http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2788&context=infopapers"]}, {"id": "9cb5f62995c9b5413164e896294ac695413823d9", "title": "Binary Coding based Label Distribution Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9cb5/f62995c9b5413164e896294ac695413823d9.pdf"], "doi": []}, {"id": "fcd3d69b418d56ae6800a421c8b89ef363418665", "title": "Effects of Aging over Facial Feature Analysis and Face Recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fcd3/d69b418d56ae6800a421c8b89ef363418665.pdf"], "doi": []}, {"id": "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "title": "Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578147"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "7c8909da44e89a78fe88e815c83a4ced34f99149", "title": "Multi-classifier Q-stack Aging Model for Adult Face Verification", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597781", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.326", "http://doi.org/10.1109/ICPR.2010.326"]}, {"id": "88337c4ca3eeb00538b9a1ac54180d02187c68db", "title": "Learning Face Age Progression: A Pyramid Architecture of GANs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578109"]}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813020", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2016.021", "http://doi.org/10.1109/SIBGRAPI.2016.021"]}, {"id": "be7444c891caf295d162233bdae0e1c79791d566", "title": "Face Recognition Performance under Aging", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/DebBestRowdenJain_FaceRecognitionPerformanceUnderAging_CVPRW17.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Deb_Face_Recognition_Performance_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/CVPR2017_Lacey_v2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014816", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.82", "http://doi.org/10.1109/CVPRW.2017.82"]}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "69ff40fd5ce7c3e6db95a2b63d763edd8db3a102", "title": "HUMAN AGE ESTIMATION VIA GEOMETRIC AND TEXTURAL FEATURES", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/69ff/40fd5ce7c3e6db95a2b63d763edd8db3a102.pdf"], "doi": []}, {"id": "414d78e32ac41e6ff8b192bc095fe55f865a02f4", "title": "Dual-reference Face Retrieval: What Does He/She Look Like at Age 'X'?", "year": "2017", "pdf": [], "doi": []}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961796", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.75", "http://doi.org/10.1109/FG.2017.75"]}, {"id": "76a52ebfc5afd547f8b73430ec81456cf25ddd69", "title": "Gender and age recognition for video analytics solution", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7041914", "http://doi.ieeecomputersociety.org/10.1109/AIPR.2014.7041914", "http://doi.org/10.1109/AIPR.2014.7041914"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "title": "Group-aware deep feature learning for facial age estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Group-aware%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.026"]}, {"id": "59cdafed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1", "title": "Classification of Age Estimation based on Neural Networks Features by using Data mining", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/59cd/afed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1.pdf"], "doi": []}, {"id": "23675cb2180aac466944df0edda4677a77c455cd", "title": "Age Estimation Using AAM and Local Facial Features", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5337138", "http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2009.142", "http://doi.org/10.1109/IIH-MSP.2009.142"]}, {"id": "4e8f301dbedc9063831da1306b294f2bd5b10477", "title": "Discriminating Power of FISWG Characteristic Descriptors Under Different Forensic Use Cases", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7736919", "http://doi.org/10.1109/BIOSIG.2016.7736919", "https://dl.gi.de/20.500.12116/1208"]}, {"id": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961738", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.30", "http://doi.org/10.1109/FG.2017.30"]}, {"id": "3d94f81cf4c3a7307e1a976dc6cb7bf38068a381", "title": "Data-Dependent Label Distribution Learning for Age Estimation", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip17_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7822912", "http://doi.org/10.1109/TIP.2017.2655445", "https://www.ncbi.nlm.nih.gov/pubmed/28103557", "https://www.wikidata.org/entity/Q31155396"]}, {"id": "65b3bee001f1d62a35802b9f1ebd17c90e87b022", "title": "An Evaluation of Classification Performance for Facial Analytics on Diverse Datasets", "year": "2013", "pdf": [], "doi": []}, {"id": "cce332405ce9cd9dccc45efac26d1d614eaa982d", "title": "A Ranking Approach for Human Ages Estimation Based on Face Images", "year": "2010", "pdf": ["http://www.iis.sinica.edu.tw/papers/song/10774-F.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597533", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.829", "http://doi.org/10.1109/ICPR.2010.829"]}, {"id": "25bcd5aa3bbe56c992547fba683418655b46fc4a", "title": "Pyramid multi-level features for facial demographic estimation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.03.030"]}, {"id": "0f112e49240f67a2bd5aaf46f74a924129f03912", "title": "Age-Invariant Face Recognition", "year": "2010", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/ParkTongJain_AgeInvariantFaceRecognition_PAMI10.pdf", "http://www.asmgroup.edu.in/incon/publication/incon13-it-042.pdf", "http://www.svcl.ucsd.edu/~nikux/age/Age%20Invariant%20Face%20Recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5383364", "http://doi.org/10.1109/TPAMI.2010.14", "https://www.ncbi.nlm.nih.gov/pubmed/20299717", "https://www.wikidata.org/entity/Q51712786"]}, {"id": "cb004e9706f12d1de83b88c209ac948b137caae0", "title": "Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01186.pdf"], "doi": []}, {"id": "e9fcd15bcb0f65565138dda292e0c71ef25ea8bb", "title": "Analysing Facial Regions for Face Recognition Using Forensic Protocols", "year": "2013", "pdf": ["https://repositorio.uam.es/xmlui/bitstream/handle/10486/663763/analysing_tome_CCIS_2013_ps.pdf?sequence=3"], "doi": ["http://doi.org/10.1007/978-3-642-38061-7_22"]}, {"id": "68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5", "title": "AGE CLASSIFICATION BASED ON SIMPLE LBP TRANSITIONS", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/68a2/ee5c5b76b6feeb3170aaff09b1566ec2cdf5.pdf"], "doi": []}, {"id": "f214bcc6ecc3309e2efefdc21062441328ff6081", "title": "Speaker verification in score-ageing-quality classification space", "year": "2013", "pdf": ["http://www.mee.tcd.ie/~sigmedia/pmwiki/uploads/Main.Publications/kelly_sv_score_age_quality.pdf", "http://www.researchgate.net/profile/Finnian_Kelly/publication/257267643_Speaker_verification_in_score-ageing-quality_classification_space/links/0f317532b07efcaf77000000.pdf"], "doi": ["http://doi.org/10.1016/j.csl.2012.12.005"]}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "437642cfc8c34e445ea653929e2d183aaaeeb704", "title": "Component Biologically Inspired Features with Moving Segmentation for Age Estimation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Hsu_Component_Biologically_Inspired_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/Component_Biologically_Inspired_Features_with_Moving_Segmentation_for_Age_Estimation_rev.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014815", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.81", "http://doi.org/10.1109/CVPRW.2017.81"]}, {"id": "28715fc79bd5ff8dd8b6fc68a4f2641e5d1b8a08", "title": "Deep Label Distribution Learning for Apparent Age Estimation", "year": "2015", "pdf": ["http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE_slide.pdf", "http://lamda.nju.edu.cn/weixs/publication/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/weixs/slide/iccvw15_AGE_slide.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Huo_Deep_Age_Distribution_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Yang_Deep_Label_Distribution_ICCV_2015_paper.pdf", "https://cs.nju.edu.cn/wujx/paper/LaP_ICCV2015_24.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406402", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.53", "http://doi.org/10.1109/ICCVW.2015.53"]}, {"id": "d82b93f848d5442f82154a6011d26df8a9cd00e7", "title": "NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d82b/93f848d5442f82154a6011d26df8a9cd00e7.pdf"], "doi": []}, {"id": "070c8ee3876c06f9a65693e536d61097ace40417", "title": "How Do Facial Expressions Contribute to Age Prediction?", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778457", "http://doi.org/10.1109/ACPR.2013.161"]}, {"id": "97d1d561362a8b6beb0fdbee28f3862fb48f1380", "title": "Age Synthesis and Estimation via Faces: A Survey", "year": "2010", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapersOnWeb/PAMI10Guo.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5406526", "http://doi.org/10.1109/TPAMI.2010.36", "https://www.ncbi.nlm.nih.gov/pubmed/20847387", "https://www.wikidata.org/entity/Q37789567"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "5b9d9f5a59c48bc8dd409a1bd5abf1d642463d65", "title": "An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5b9d/9f5a59c48bc8dd409a1bd5abf1d642463d65.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "13f03aab62fc29748114a0219426613cf3ba76ae", "title": "MORPH-II: Feature Vector Documentation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/13f0/3aab62fc29748114a0219426613cf3ba76ae.pdf"], "doi": []}, {"id": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"], "doi": []}, {"id": "15e0b9ba3389a7394c6a1d267b6e06f8758ab82b", "title": "The OU-ISIR Gait Database comprising the Large Population Dataset with Age and performance evaluation of age estimation", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0035-2?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0035-2"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"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": "931f99bc6865d3d0c80c15d5b1c05338dfe98982", "title": "Identification of Aging Faces Using A-Stack Classification Model", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5302130"]}, {"id": "0f92e9121e9c0addc35eedbbd25d0a1faf3ab529", "title": "MORPH-II : A Proposed Subsetting Scheme", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f92/e9121e9c0addc35eedbbd25d0a1faf3ab529.pdf"], "doi": []}, {"id": "7ad7897740e701eae455457ea74ac10f8b307bed", "title": "Random Subspace Two-dimensional LDA for Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00575.pdf"], "doi": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}, {"id": "f4251e02f87ac3fcae70bdb313f13ed16ff6ff0a", "title": "Identification using face regions: application and assessment in forensic scenarios.", "year": "2013", "pdf": ["http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTome.pdf", "http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "http://audias.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "https://repositorio.uam.es/bitstream/handle/10486/663052/identification_tome_FSI_2013_ps.pdf?sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/24314504", "http://doi.org/10.1016/j.forsciint.2013.08.020"]}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "4a0b18fab67724313cafc35495af9dc5454fa6af", "title": "Sexually Dimorphic Faciometrics in Humans From Early Adulthood to Late Middle Age: Dynamic, Declining, and Differentiated.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a0b/18fab67724313cafc35495af9dc5454fa6af.pdf"], "doi": []}, {"id": "1890470d07a090e7b762091c7b9670b5c2e1c348", "title": "Improving Random Forests by Correlation-Enhancing Projections and Sample-Based Sparse Discriminant Selection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801525", "http://doi.ieeecomputersociety.org/10.1109/CRV.2016.20", "http://doi.org/10.1109/CRV.2016.20"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "c8b89de8d63d68166b3373e451916bf35e74d2f4", "title": "Hierarchical Facial Age Estimation Using Gaussian Process Regression", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8601185"]}, {"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.06149.pdf"], "doi": []}, {"id": "fc04a50379e08ddde501816eb1f9560c36d01a39", "title": "Image Pre-processing Using OpenCV Library on MORPH-II Face Database", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06934.pdf"], "doi": []}, {"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"id": "1ae3a26a985fe525b23f080a9e1041ecff0509ad", "title": "A Comparative Study of Statistical Conversion of Face to Voice Based on Their Subjective Impressions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ae3/a26a985fe525b23f080a9e1041ecff0509ad.pdf"], "doi": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "7553fba5c7f73098524fbb58ca534a65f08e91e7", "title": "A Practical Approach for Determination of Human Gender & Age", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7553/fba5c7f73098524fbb58ca534a65f08e91e7.pdf"], "doi": []}, {"id": "997c7ebf467c579b55859315c5a7f15c1df43432", "title": "A Study of Convolutional Sparse Feature Learning for Human Age Estimate", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961792", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.141", "http://doi.org/10.1109/FG.2017.141"]}, {"id": "e2d4ead809ea9488be7e68caea0e7c2fcfce3fa1", "title": "A deep analysis on age estimation", "year": "2015", "pdf": ["http://www.hertasecurity.com/sites/default/files/publication/files/A-Deep-Analysis-on-Age-Estimation2.pdf", "https://upcommons.upc.edu/bitstream/handle/2117/83918/A%20deep%20analysis%20on%20age%20estimation.pdf?isAllowed=y&sequence=6"], "doi": ["https://doi.org/10.1016/j.patrec.2015.06.006", "https://www.wikidata.org/entity/Q57724169"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6", "title": "Demographic Estimation from Face Images: Human vs. Machine Performance", "year": "2015", "pdf": ["http://cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf", "http://www.cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6920084", "http://doi.org/10.1109/TPAMI.2014.2362759", "https://www.ncbi.nlm.nih.gov/pubmed/26357339", "https://www.wikidata.org/entity/Q40552843"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977254", "http://doi.org/10.1109/ICPR.2014.542"]}, {"id": "3b1260d78885e872cf2223f2c6f3d6f6ea254204", "title": "Face Tracking and Recognition at a Distance: A Coaxial and Concentric PTZ Camera System", "year": "2013", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Choietal_FaceTrackingRecognitionDistancePTZCameraSystem.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Parketal_FaceTrackingRecognitionDistance_CoaxialConcentricPTZCameraSystem_TIFS13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512016", "http://doi.org/10.1109/TIFS.2013.2261061"]}, {"id": "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "title": "Age estimation via unsupervised neural networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163119", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163119", "http://doi.org/10.1109/FG.2015.7163119"]}, {"id": "744d23991a2c48d146781405e299e9b3cc14b731", "title": "Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection", "year": "2016", "pdf": ["http://www.cise.ufl.edu/~dihong/assets/LPS2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7420684", "http://doi.org/10.1109/TIP.2016.2535284", "https://www.ncbi.nlm.nih.gov/pubmed/26930681"]}, {"id": "362a70b6e7d55a777feb7b9fc8bc4d40a57cde8c", "title": "A partial least squares based ranker for fast and accurate age estimation", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0002792.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472186", "http://doi.org/10.1109/ICASSP.2016.7472186"]}, {"id": "87b607b8d4858a16731144d17f457a54e488f15d", "title": "Cross-Age Face Recognition on a Very Large Database: The Performance versus Age Intervals and Improvement Using Soft Biometric Traits", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Karl_Ricanek/publication/220931837_Cross-Age_Face_Recognition_on_a_Very_Large_Database_The_Performance_versus_Age_Intervals_and_Improvement_Using_Soft_Biometric_Traits/links/02bfe50d46b635ff13000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597532", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.828", "http://doi.org/10.1109/ICPR.2010.828"]}, {"id": "6e198f6cc4199e1c4173944e3df6f39a302cf787", "title": "MORPH-II : Inconsistencies and Cleaning Whitepaper", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e19/8f6cc4199e1c4173944e3df6f39a302cf787.pdf"], "doi": []}, {"id": "d9810786fccee5f5affaef59bc58d2282718af9b", "title": "Adaptive Frame Selection for Enhanced Face Recognition in Low-Resolution Videos", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d981/0786fccee5f5affaef59bc58d2282718af9b.pdf"], "doi": []}, {"id": "a534f41608ee0157ff002a0d5e5d39deb0d34797", "title": "On soft biometrics", "year": "2015", "pdf": ["http://vbn.aau.dk/files/219488771/on_softbiometrics_preprint.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2015.08.006", "https://www.wikidata.org/entity/Q57724073"]}, {"id": "0c6a566ebdac4bd14e80cd6bf4631bc7458e1595", "title": "Local descriptors in application to the aging problem in face recognition", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2013.03.010"]}, {"id": "bc6de183cd8b2baeebafeefcf40be88468b04b74", "title": "Age Group Recognition using Human Facial Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e057/e713301e089887295543226b79b534fdd145.pdf"], "doi": []}, {"id": "79581c364cefe53bff6bdd224acd4f4bbc43d6d4", "title": "Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.06838.pdf"], "doi": []}, {"id": "40033c6a0b534a6023a78ee2a144edd7f10fa696", "title": "Facial soft biometric features for forensic face recognition.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_FSI_ForensicFacialFeat_PTome_final.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26454196", "https://doi.org/10.1016/j.forsciint.2015.09.002"]}, {"id": "3c0bbfe664fb083644301c67c04a7f1331d9515f", "title": "The Role of Color and Contrast in Facial Age Estimation Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3c0b/bfe664fb083644301c67c04a7f1331d9515f.pdf"], "doi": []}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893", "http://doi.org/10.1109/TMM.2015.2420374"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "8c5cf18c456957c63248245791f44a685e832345", "title": "Implementation of perceptual resemblance of local plastic surgery facial images using Near Sets", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7193017"]}, {"id": "72cd5d81e4541c80c611a9bcab85bdcf14d5f028", "title": "Age group classification based on facial images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/72cd/5d81e4541c80c611a9bcab85bdcf14d5f028.pdf"], "doi": []}, {"id": "1135a818b756b057104e45d976546970ba84e612", "title": "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961848", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.118", "http://doi.org/10.1109/FG.2017.118"]}, {"id": "dcb44fc19c1949b1eda9abe998935d567498467d", "title": "Ordinal Zero-Shot Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/dcb4/4fc19c1949b1eda9abe998935d567498467d.pdf"], "doi": []}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014811", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.77", "http://doi.org/10.1109/CVPRW.2017.77"]}, {"id": "60ce4a9602c27ad17a1366165033fe5e0cf68078", "title": "Combination of Face Regions in Forensic Scenarios.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_JFO_FaceRegionFusion_Tome.pdf", "http://atvs.ii.uam.es/files/2015_JFO_FaceRegionFusion_Tome.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26189995", "http://doi.org/10.1111/1556-4029.12800"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "e16efd2ae73a325b7571a456618bfa682b51aef8", "title": "Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/93f8/4b8200aeba68af767c4f143233829e8ce6d9.pdf"], "doi": []}, {"id": "f47404424270f6a20ba1ba8c2211adfba032f405", "title": "Identification of Face Age range Group using Neural Network", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f474/04424270f6a20ba1ba8c2211adfba032f405.pdf"], "doi": []}, {"id": "b034cc919af30e96ee7bed769b93ea5828ae361b", "title": "Soft-Margin Mixture of Regressions", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Soft-Margin_Mixture_of_CVPR_2017_paper.pdf", "http://www.ca.cs.cmu.edu/sites/default/files/08099915.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099915", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.432", "http://doi.org/10.1109/CVPR.2017.432"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "621741b87258c745f8905d15ba81aaf2a8be60d2", "title": "A Study of Geometric Features for Aging Face Recognition", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5659191"]}, {"id": "574751dbb53777101502419127ba8209562c4758", "title": "Gender classification from unaligned facial images using support subspaces", "year": "2013", "pdf": ["http://ochoa.pc.cs.cmu.edu/wschu/papers/doc/ins13-gender.pdf"], "doi": ["http://doi.org/10.1016/j.ins.2012.09.008"]}, {"id": "c05a7c72e679745deab9c9d7d481f7b5b9b36bdd", "title": "Naval Postgraduate School Monterey, California Approved for Public Release; Distribution Is Unlimited Biometric Challenges for Future Deployments: a Study of the Impact of Geography, Climate, Culture, and Social Conditions on the Effective Collection of Biometrics", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c05a/7c72e679745deab9c9d7d481f7b5b9b36bdd.pdf"], "doi": []}, {"id": "09111da0aedb231c8484601444296c50ca0b5388", "title": "Joint estimation of age, gender and ethnicity: CCA vs. PLS", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553737.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553737", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553737", "http://doi.org/10.1109/FG.2013.6553737"]}, {"id": "d3c004125c71942846a9b32ae565c5216c068d1e", "title": "Recognizing Age-Separated Face Images: Humans and Machines", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d3c0/04125c71942846a9b32ae565c5216c068d1e.pdf"], "doi": []}, {"id": "362ba8317aba71c78dafca023be60fb71320381d", "title": "Nighttime face recognition at large standoff: Cross-distance and cross-spectral matching", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/KangHanJainLee_NighttimeFRatLargeStandoff_P.R.2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.06.004"]}, {"id": "2c8743089d9c7df04883405a31b5fbe494f175b4", "title": "Real-time full-body human gender recognition in (RGB)-D data", "year": "2015", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/linderICRA15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139616", "http://doi.org/10.1109/ICRA.2015.7139616"]}, {"id": "63488398f397b55552f484409b86d812dacde99a", "title": "Learning Universal Multiview Age Estimator by Video Contexts", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6348/8398f397b55552f484409b86d812dacde99a.pdf"], "doi": []}, {"id": "b1301c722886b6028d11e4c2084ee96466218be4", "title": "Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02740.pdf"], "doi": []}, {"id": "e5dfd17dbfc9647ccc7323a5d62f65721b318ba9", "title": "Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e5df/d17dbfc9647ccc7323a5d62f65721b318ba9.pdf"], "doi": []}, {"id": "1035536e484a167e3f7d7edca8de9cd5917383ec", "title": "UvA-DARE ( Digital Academic Repository ) Expression-Invariant Age Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0da7/e3fabea12a9242348df62de7754b2be28b44.pdf"], "doi": []}, {"id": "6e12ba518816cbc2d987200c461dc907fd19f533", "title": "A computational approach to body mass index prediction from face images", "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapers/BMIface2013.pdf", "http://www.csee.wvu.edu/~gdguo/myPapers/BMIface2013.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2013.03.001"]}, {"id": "a01f9461bc8cf8fe40c26d223ab1abea5d8e2812", "title": "Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a01f/9461bc8cf8fe40c26d223ab1abea5d8e2812.pdf"], "doi": []}, {"id": "03b31cbb8e64dc9402b76287f06f15840acff3f1", "title": "Privacy-Protective-GAN for Privacy Preserving Face De-Identification", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11390-019-1898-8"]}, {"id": "5f09018d330f8d62b9abd83d44f1097d945508e4", "title": "Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03268.pdf"], "doi": []}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301352", "http://doi.org/10.1109/CVPRW.2015.7301352"]}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "ac26166857e55fd5c64ae7194a169ff4e473eb8b", "title": "Personalized Age Progression with Bi-Level Aging Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01039.pdf"], "doi": []}, {"id": "4aeb87c11fb3a8ad603311c4650040fd3c088832", "title": "Self-paced Mixture of Regressions", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4aeb/87c11fb3a8ad603311c4650040fd3c088832.pdf"], "doi": []}, {"id": "d09df8a2e7cfef667e7836a157d0d26658be788f", "title": "Cumulative attribute relation regularization learning for human age estimation", "year": "2015", "pdf": ["http://parnec.nuaa.edu.cn/pubs/songcan%20chen/journal/2015/TQ-Neucom-2015.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2015.03.078"]}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"], "doi": []}, {"id": "8cffe360a05085d4bcba111a3a3cd113d96c0369", "title": "Learning universal multi-view age estimator using video context", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126248", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126248", "http://doi.org/10.1109/ICCV.2011.6126248"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7094272", "http://doi.org/10.1109/TIP.2015.2426413", "https://www.ncbi.nlm.nih.gov/pubmed/25915959"]}, {"id": "35e4b6c20756cd6388a3c0012b58acee14ffa604", "title": "Gender Classification in Large Databases", "year": "2012", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15085/5/C082_LNCS_CIARP12_postprint.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33275-3_9"]}, {"id": "197eaa59a003a4c7cc77c1abe0f99d942f716942", "title": "Web image mining towards universal age estimator", "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1631287"]}, {"id": "812d3f6975f4cb87e9905ef18696c5c779227634", "title": "A novel comparative deep learning framework for facial age estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/812d/3f6975f4cb87e9905ef18696c5c779227634.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "9055b155cbabdce3b98e16e5ac9c0edf00f9552f", "citations": [{"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "fa23122db319440fb5a7253e19709f992b4571b9", "title": "Human Age Estimation via Geometric and Textural Features", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fa23/122db319440fb5a7253e19709f992b4571b9.pdf"], "doi": []}, {"id": "7bc1e7d000ab517161a83b1fedf353e619516ddf", "title": "Age group classification via structured fusion of uncertainty-driven shape features and selected surface features", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836068", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836068", "http://doi.org/10.1109/WACV.2014.6836068"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "72c0c8deb9ea6f59fde4f5043bff67366b86bd66", "title": "Age progression in Human Faces : A Survey", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/72c0/c8deb9ea6f59fde4f5043bff67366b86bd66.pdf"], "doi": []}, {"id": "53facf0d786366430886eff2fb7bf6da236b2899", "title": "Gender and Ethnicity Classification Using Partial Face in Biometric Applications", "year": "2014", "pdf": [], "doi": []}, {"id": "ed32df6b122b15a52238777c9993ed31107b4bed", "title": "Age face simulation using aging functions on global and local features with residual images", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.03.008"]}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"], "doi": []}, {"id": "083a2bc86e0984968b06593ba06654277b252f00", "title": "Neural evidence for the contribution of holistic processing but not attention allocation to the other-race effect on face memory.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/083a/2bc86e0984968b06593ba06654277b252f00.pdf"], "doi": []}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237444", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.182", "http://doi.org/10.1109/ICCV.2017.182"]}, {"id": "0fc5c6f06e40014a56f492172f44c073d269e95c", "title": "Genetic and evolutionary biometrics: Exploring value preference space for hybrid feature weighting and selection", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1108/17563781311301490"]}, {"id": "15f3d47b48a7bcbe877f596cb2cfa76e798c6452", "title": "Automatic face analysis tools for interactive digital games", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/15f3/d47b48a7bcbe877f596cb2cfa76e798c6452.pdf"], "doi": []}, {"id": "e198a7b9e61dd19c620e454aaa81ae8f7377ade0", "title": "A hierarchical approach to facial aging", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543611", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543611", "http://doi.org/10.1109/CVPRW.2010.5543611"]}, {"id": "29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Kuang_Deeply_Learned_Rich_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406401", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.52", "http://doi.org/10.1109/ICCVW.2015.52"]}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "title": "Dual Conditional GANs for Face Aging and Rejuvenation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93e9/62f8886eae13b02ad2aa98bdedfbd7e68709.pdf"], "doi": []}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "3dce635ce4b55fb63fc6d41b38640403b152a048", "title": "The Impact of Age and Threshold Variation on Facial Recognition Algorithm Performance Using Images of Children", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411225", "http://doi.org/10.1109/ICB2018.2018.00041"]}, {"id": "fa160e14172ba5b825488d961c7e6e7787a26cd3", "title": "Improving Gender Classification Accuracy in the Wild", "year": "2013", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15087/5/C085_LNCS_CIARP13_postprint.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-41827-3_34"]}, {"id": "44fb4dcf88eb482e2ab79fd4540caf941613b970", "title": "Perceived Age Estimation under Lighting Condition Change by Covariate Shift Adaptation", "year": "2010", "pdf": ["http://www.ms.k.u-tokyo.ac.jp/2010/ICPR2010a.pdf", "http://www.researchgate.net/profile/Masashi_Sugiyama/publication/220930547_Perceived_Age_Estimation_under_Lighting_Condition_Change_by_Covariate_Shift_Adaptation/links/0fcfd5122b4d406edd000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597530", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.830", "http://doi.org/10.1109/ICPR.2010.830"]}, {"id": "4465b754ac93e330facee245b4da0c822cc58441", "title": "A comprehensive age estimation on face images using hybrid filter based feature extraction", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e87/06fab62a5716c30a245e5963f51793e1d0ed.pdf"], "doi": []}, {"id": "5058a7ec68c32984c33f357ebaee96c59e269425", "title": "A Comparative Evaluation of Regression Learning Algorithms for Facial Age Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5058/a7ec68c32984c33f357ebaee96c59e269425.pdf"], "doi": []}, {"id": "8d8461ed57b81e05cc46be8e83260cd68a2ebb4d", "title": "Age identification of Facial Images using Neural Network", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8d84/61ed57b81e05cc46be8e83260cd68a2ebb4d.pdf"], "doi": []}, {"id": "289cfcd081c4393c7d6f63510747b5372202f855", "title": "Detecting Decision Ambiguity from Facial Images", "year": "2018", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373873", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00080", "http://doi.org/10.1109/FG.2018.00080"]}, {"id": "2bbbbe1873ad2800954058c749a00f30fe61ab17", "title": "Face Verification across Ages Using Self Organizing Map", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2bbb/be1873ad2800954058c749a00f30fe61ab17.pdf"], "doi": []}, {"id": "f1748303cc02424704b3a35595610890229567f9", "title": "Learning-based encoding with soft assignment for age estimation under unconstrained imaging conditions", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2012.07.009"]}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "3c6542295cf7fe362d7d629ac10670bf30cdabce", "title": "Hierarchical Aggregation Based Deep Aging Feature for Age Prediction", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371264", "http://doi.org/10.1109/DICTA.2015.7371264"]}, {"id": "22532c6e38ded690dc1420f05c18e23f6f24804d", "title": "Chapter 5 Genetic & Evolutionary Biometrics", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2253/2c6e38ded690dc1420f05c18e23f6f24804d.pdf"], "doi": []}, {"id": "7c11fa4fd91cb57e6e216117febcdd748e595760", "title": "Discriminant Feature Manifold for Facial Aging Estimation", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Hui_Fang2/publication/220932407_Discriminant_Feature_Manifold_for_Facial_Aging_Estimation/links/004635214d3e09ab00000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597453", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.150", "http://doi.org/10.1109/ICPR.2010.150"]}, {"id": "1e1e66783f51a206509b0a427e68b3f6e40a27c8", "title": "Semi-supervised estimation of perceived age from face images", "year": "2010", "pdf": [], "doi": []}, {"id": "29ce6b54a87432dc8371f3761a9568eb3c5593b0", "title": "Age Sensitivity of Face Recognition Algorithms", "year": "2013", "pdf": ["https://kar.kent.ac.uk/43222/1/Yatie_EST2013_vfinal.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6680176", "http://doi.ieeecomputersociety.org/10.1109/EST.2013.8", "http://doi.org/10.1109/EST.2013.8"]}, {"id": "3dda181be266950ba1280b61eb63ac11777029f9", "title": "When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09757.pdf"], "doi": []}, {"id": "aca273a9350b10b6e2ef84f0e3a327255207d0f5", "title": "Aalborg Universitet On Soft Biometrics", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/aca2/73a9350b10b6e2ef84f0e3a327255207d0f5.pdf"], "doi": []}, {"id": "c398684270543e97e3194674d9cce20acaef3db3", "title": "Chapter 2 Comparative Face Soft Biometrics for Human Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c398/684270543e97e3194674d9cce20acaef3db3.pdf"], "doi": []}, {"id": "fe866887d3c26ee72590c440ed86ffc80e980293", "title": "Understanding Human Aging Patterns from a Machine Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397011", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00055", "http://doi.org/10.1109/MIPR.2018.00055"]}, {"id": "469ee1b00f7bbfe17c698ccded6f48be398f2a44", "title": "SURVEy : Techniques for Aging Problems in Face Recognition", "year": "", "pdf": ["https://pdfs.semanticscholar.org/469e/e1b00f7bbfe17c698ccded6f48be398f2a44.pdf"], "doi": []}, {"id": "9e28243f047cc9f62a946bf87abedb65b0da0f0a", "title": "Can We Minimize the Influence Due to Gender and Race in Age Estimation?", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6786126", "http://doi.org/10.1109/ICMLA.2013.141"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "fc2b5fa51a275af4c96029ca18789504f9f55393", "title": "Relationships Self-Learning Based Gender-Aware Age Estimation", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-019-09993-9"]}, {"id": "a608c5f8fd42af6e9bd332ab516c8c2af7063c61", "title": "Age Estimation via Grouping and Decision Fusion", "year": "2015", "pdf": ["http://mcl.usc.edu/wp-content/uploads/2016/01/Liu-TIFS-2015-10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7173035", "http://doi.org/10.1109/TIFS.2015.2462732"]}, {"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10462-018-9661-z"]}, {"id": "49e1aa3ecda55465641b2c2acc6583b32f3f1fc6", "title": "Support Vector Machine for age classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/49e1/aa3ecda55465641b2c2acc6583b32f3f1fc6.pdf"], "doi": []}, {"id": "d7c2f972c21290e9df8cce1b4f89389983268cb7", "title": "Deep Regression Forests for Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578343"]}, {"id": "75650bfc20036d99314f7ddae8f2baecde3d57e2", "title": "Concave Losses for Robust Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00659.pdf"], "doi": []}, {"id": "b47a3c909ee9b099854619054fd00e200b944aa9", "title": "Deeply-Learned Feature for Age Estimation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045931", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.77", "http://doi.org/10.1109/WACV.2015.77"]}, {"id": "37eb666b7eb225ffdafc6f318639bea7f0ba9a24", "title": "Age , Gender and Race Estimation from Unconstrained Face Images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/37eb/666b7eb225ffdafc6f318639bea7f0ba9a24.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "c1482491f553726a8349337351692627a04d5dbe", "title": "When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00048.pdf"], "doi": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "year": "2016", "pdf": ["https://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2016/F1b-PR2016.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.12.003"]}, {"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780901"]}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"], "doi": []}, {"id": "b234d429c9ea682e54fca52f4b889b3170f65ffc", "title": "A Concatenational Graph Evolution Aging Model", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6127881", "http://doi.org/10.1109/TPAMI.2012.22", "https://www.ncbi.nlm.nih.gov/pubmed/22997125", "https://www.wikidata.org/entity/Q50783988"]}, {"id": "166186e551b75c9b5adcc9218f0727b73f5de899", "title": "Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1661/86e551b75c9b5adcc9218f0727b73f5de899.pdf"], "doi": []}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961736", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.28", "http://doi.org/10.1109/FG.2017.28"]}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "132cc530230cb869318b0a9d81a717077895db38", "title": "Emancipation of Upper Bound Greedy Algorithm in Detection of Nodes in Social Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/132c/c530230cb869318b0a9d81a717077895db38.pdf"], "doi": []}, {"id": "7b1ca9a74ab7fbfc32a69e8313ca2f2d78ac6c35", "title": "Comparison of Three Different CNN Architectures for Age Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7889565", "http://doi.ieeecomputersociety.org/10.1109/ICSC.2017.61", "http://doi.org/10.1109/ICSC.2017.61"]}, {"id": "23d55061f7baf2ffa1c847d356d8f76d78ebc8c1", "title": "Generic and attribute-specific deep representations for maritime vessels", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0033-4?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0033-4"]}, {"id": "48cfc5789c246c6ad88ff841701204fc9d6577ed", "title": "Age Invariant Face Recognition Based on DCT Feature Extraction and Kernel Fisher Analysis", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/48cf/c5789c246c6ad88ff841701204fc9d6577ed.pdf"], "doi": []}, {"id": "2133475ba633c732292ccf405f07a0baea9d01b3", "title": "Demographic-Assisted Age-Invariant Face Recognition and Retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.3390/sym10050148"]}, {"id": "4ef09fe9f7fa027427414cf1f2e9050ac7f5e34d", "title": "A proposed method for the improvement in biometric facial image recognition using document-based classification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11227-018-2408-4"]}, {"id": "7195cb08ba2248f3214f5dc5d7881533dd1f46d9", "title": "Age Regression Based on Local Image Features", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5673820", "http://biblio.telecom-paristech.fr/cgi-bin/download.cgi?id=10558"]}, {"id": "1f3f7df159c338884ddfd38ee2d3ba2e1e3ada69", "title": "Self-enhancement Influences Medial Frontal Cortex Alpha Power to Social Rejection Feedback", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1162/jocn_a_00645", "https://www.ncbi.nlm.nih.gov/pubmed/24738770", "https://www.wikidata.org/entity/Q47778683"]}, {"id": "9cdb311463aca8ab3f2619e390635ea42ca02097", "title": "Cubic norm and kernel-based bi-directional PCA: toward age-aware facial kinship verification", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-017-1442-1"]}, {"id": "df674dc0fc813c2a6d539e892bfc74f9a761fbc8", "title": "An Image Mining System for Gender Classification & Age Prediction Based on Facial Features", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/df67/4dc0fc813c2a6d539e892bfc74f9a761fbc8.pdf"], "doi": []}, {"id": "18ae88aef1a69f1a475bf41b03ad226bb66f40f4", "title": "Hybrid Ageing Patterns for face age estimation", "year": "2018", "pdf": ["https://e-space.mmu.ac.uk/619011/1/revised_manuscript.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2017.08.005", "https://www.wikidata.org/entity/Q58796144"]}, {"id": "af12a79892bd030c19dfea392f7a7ccb0e7ebb72", "title": "A study on human age estimation under facial expression changes", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247972", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247972", "http://doi.org/10.1109/CVPR.2012.6247972"]}, {"id": "59fe66eeb06d1a7e1496a85f7ffc7b37512cd7e5", "title": "Robust feature encoding for age-invariant face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552862", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552862", "http://doi.org/10.1109/ICME.2016.7552862"]}, {"id": "3edb0fa2d6b0f1984e8e2c523c558cb026b2a983", "title": "Automatic Age Estimation Based on Facial Aging Patterns", "year": "2007", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tpami07.pdf", "http://cse.seu.edu.cn/PersonalPage/xgeng/files/tpami07.pdf", "http://dro.deakin.edu.au/eserv/DU:30007652/geng-automaticage-2007.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4359348", "http://doi.org/10.1109/TPAMI.2007.70733", "https://www.ncbi.nlm.nih.gov/pubmed/17934231", "https://www.wikidata.org/entity/Q50890131"]}, {"id": "fa24bf887d3b3f6f58f8305dcd076f0ccc30272a", "title": "Interval Insensitive Loss for Ordinal Classification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/84a6/4425ab3d590d669525229c84d7d1bfcea554.pdf"], "doi": []}, {"id": "b5f9306c3207ac12ac761e7d028c78b3009a219c", "title": "Age estimation based on extended non-negative matrix factorization", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6093779", "http://doi.org/10.1109/MMSP.2011.6093779", "http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2788&context=infopapers"]}, {"id": "9cb5f62995c9b5413164e896294ac695413823d9", "title": "Binary Coding based Label Distribution Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9cb5/f62995c9b5413164e896294ac695413823d9.pdf"], "doi": []}, {"id": "fcd3d69b418d56ae6800a421c8b89ef363418665", "title": "Effects of Aging over Facial Feature Analysis and Face Recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fcd3/d69b418d56ae6800a421c8b89ef363418665.pdf"], "doi": []}, {"id": "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "title": "Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578147"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "7c8909da44e89a78fe88e815c83a4ced34f99149", "title": "Multi-classifier Q-stack Aging Model for Adult Face Verification", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597781", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.326", "http://doi.org/10.1109/ICPR.2010.326"]}, {"id": "88337c4ca3eeb00538b9a1ac54180d02187c68db", "title": "Learning Face Age Progression: A Pyramid Architecture of GANs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578109"]}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813020", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2016.021", "http://doi.org/10.1109/SIBGRAPI.2016.021"]}, {"id": "be7444c891caf295d162233bdae0e1c79791d566", "title": "Face Recognition Performance under Aging", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/DebBestRowdenJain_FaceRecognitionPerformanceUnderAging_CVPRW17.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Deb_Face_Recognition_Performance_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/CVPR2017_Lacey_v2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014816", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.82", "http://doi.org/10.1109/CVPRW.2017.82"]}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "69ff40fd5ce7c3e6db95a2b63d763edd8db3a102", "title": "HUMAN AGE ESTIMATION VIA GEOMETRIC AND TEXTURAL FEATURES", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/69ff/40fd5ce7c3e6db95a2b63d763edd8db3a102.pdf"], "doi": []}, {"id": "414d78e32ac41e6ff8b192bc095fe55f865a02f4", "title": "Dual-reference Face Retrieval: What Does He/She Look Like at Age 'X'?", "year": "2017", "pdf": [], "doi": []}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961796", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.75", "http://doi.org/10.1109/FG.2017.75"]}, {"id": "76a52ebfc5afd547f8b73430ec81456cf25ddd69", "title": "Gender and age recognition for video analytics solution", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7041914", "http://doi.ieeecomputersociety.org/10.1109/AIPR.2014.7041914", "http://doi.org/10.1109/AIPR.2014.7041914"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "title": "Group-aware deep feature learning for facial age estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Group-aware%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.026"]}, {"id": "59cdafed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1", "title": "Classification of Age Estimation based on Neural Networks Features by using Data mining", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/59cd/afed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1.pdf"], "doi": []}, {"id": "23675cb2180aac466944df0edda4677a77c455cd", "title": "Age Estimation Using AAM and Local Facial Features", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5337138", "http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2009.142", "http://doi.org/10.1109/IIH-MSP.2009.142"]}, {"id": "4e8f301dbedc9063831da1306b294f2bd5b10477", "title": "Discriminating Power of FISWG Characteristic Descriptors Under Different Forensic Use Cases", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7736919", "http://doi.org/10.1109/BIOSIG.2016.7736919", "https://dl.gi.de/20.500.12116/1208"]}, {"id": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961738", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.30", "http://doi.org/10.1109/FG.2017.30"]}, {"id": "3d94f81cf4c3a7307e1a976dc6cb7bf38068a381", "title": "Data-Dependent Label Distribution Learning for Age Estimation", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip17_age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7822912", "http://doi.org/10.1109/TIP.2017.2655445", "https://www.ncbi.nlm.nih.gov/pubmed/28103557", "https://www.wikidata.org/entity/Q31155396"]}, {"id": "65b3bee001f1d62a35802b9f1ebd17c90e87b022", "title": "An Evaluation of Classification Performance for Facial Analytics on Diverse Datasets", "year": "2013", "pdf": [], "doi": []}, {"id": "cce332405ce9cd9dccc45efac26d1d614eaa982d", "title": "A Ranking Approach for Human Ages Estimation Based on Face Images", "year": "2010", "pdf": ["http://www.iis.sinica.edu.tw/papers/song/10774-F.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597533", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.829", "http://doi.org/10.1109/ICPR.2010.829"]}, {"id": "25bcd5aa3bbe56c992547fba683418655b46fc4a", "title": "Pyramid multi-level features for facial demographic estimation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.03.030"]}, {"id": "0f112e49240f67a2bd5aaf46f74a924129f03912", "title": "Age-Invariant Face Recognition", "year": "2010", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/ParkTongJain_AgeInvariantFaceRecognition_PAMI10.pdf", "http://www.asmgroup.edu.in/incon/publication/incon13-it-042.pdf", "http://www.svcl.ucsd.edu/~nikux/age/Age%20Invariant%20Face%20Recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5383364", "http://doi.org/10.1109/TPAMI.2010.14", "https://www.ncbi.nlm.nih.gov/pubmed/20299717", "https://www.wikidata.org/entity/Q51712786"]}, {"id": "cb004e9706f12d1de83b88c209ac948b137caae0", "title": "Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01186.pdf"], "doi": []}, {"id": "e9fcd15bcb0f65565138dda292e0c71ef25ea8bb", "title": "Analysing Facial Regions for Face Recognition Using Forensic Protocols", "year": "2013", "pdf": ["https://repositorio.uam.es/xmlui/bitstream/handle/10486/663763/analysing_tome_CCIS_2013_ps.pdf?sequence=3"], "doi": ["http://doi.org/10.1007/978-3-642-38061-7_22"]}, {"id": "68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5", "title": "AGE CLASSIFICATION BASED ON SIMPLE LBP TRANSITIONS", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/68a2/ee5c5b76b6feeb3170aaff09b1566ec2cdf5.pdf"], "doi": []}, {"id": "f214bcc6ecc3309e2efefdc21062441328ff6081", "title": "Speaker verification in score-ageing-quality classification space", "year": "2013", "pdf": ["http://www.mee.tcd.ie/~sigmedia/pmwiki/uploads/Main.Publications/kelly_sv_score_age_quality.pdf", "http://www.researchgate.net/profile/Finnian_Kelly/publication/257267643_Speaker_verification_in_score-ageing-quality_classification_space/links/0f317532b07efcaf77000000.pdf"], "doi": ["http://doi.org/10.1016/j.csl.2012.12.005"]}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "437642cfc8c34e445ea653929e2d183aaaeeb704", "title": "Component Biologically Inspired Features with Moving Segmentation for Age Estimation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Hsu_Component_Biologically_Inspired_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/Component_Biologically_Inspired_Features_with_Moving_Segmentation_for_Age_Estimation_rev.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014815", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.81", "http://doi.org/10.1109/CVPRW.2017.81"]}, {"id": "28715fc79bd5ff8dd8b6fc68a4f2641e5d1b8a08", "title": "Deep Label Distribution Learning for Apparent Age Estimation", "year": "2015", "pdf": ["http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE_slide.pdf", "http://lamda.nju.edu.cn/weixs/publication/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/weixs/slide/iccvw15_AGE_slide.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Huo_Deep_Age_Distribution_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Yang_Deep_Label_Distribution_ICCV_2015_paper.pdf", "https://cs.nju.edu.cn/wujx/paper/LaP_ICCV2015_24.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406402", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.53", "http://doi.org/10.1109/ICCVW.2015.53"]}, {"id": "d82b93f848d5442f82154a6011d26df8a9cd00e7", "title": "NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d82b/93f848d5442f82154a6011d26df8a9cd00e7.pdf"], "doi": []}, {"id": "070c8ee3876c06f9a65693e536d61097ace40417", "title": "How Do Facial Expressions Contribute to Age Prediction?", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778457", "http://doi.org/10.1109/ACPR.2013.161"]}, {"id": "97d1d561362a8b6beb0fdbee28f3862fb48f1380", "title": "Age Synthesis and Estimation via Faces: A Survey", "year": "2010", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapersOnWeb/PAMI10Guo.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5406526", "http://doi.org/10.1109/TPAMI.2010.36", "https://www.ncbi.nlm.nih.gov/pubmed/20847387", "https://www.wikidata.org/entity/Q37789567"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "5b9d9f5a59c48bc8dd409a1bd5abf1d642463d65", "title": "An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5b9d/9f5a59c48bc8dd409a1bd5abf1d642463d65.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "13f03aab62fc29748114a0219426613cf3ba76ae", "title": "MORPH-II: Feature Vector Documentation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/13f0/3aab62fc29748114a0219426613cf3ba76ae.pdf"], "doi": []}, {"id": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"], "doi": []}, {"id": "15e0b9ba3389a7394c6a1d267b6e06f8758ab82b", "title": "The OU-ISIR Gait Database comprising the Large Population Dataset with Age and performance evaluation of age estimation", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0035-2?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0035-2"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"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": "931f99bc6865d3d0c80c15d5b1c05338dfe98982", "title": "Identification of Aging Faces Using A-Stack Classification Model", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5302130"]}, {"id": "0f92e9121e9c0addc35eedbbd25d0a1faf3ab529", "title": "MORPH-II : A Proposed Subsetting Scheme", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f92/e9121e9c0addc35eedbbd25d0a1faf3ab529.pdf"], "doi": []}, {"id": "7ad7897740e701eae455457ea74ac10f8b307bed", "title": "Random Subspace Two-dimensional LDA for Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00575.pdf"], "doi": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}, {"id": "f4251e02f87ac3fcae70bdb313f13ed16ff6ff0a", "title": "Identification using face regions: application and assessment in forensic scenarios.", "year": "2013", "pdf": ["http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTome.pdf", "http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "http://audias.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "https://repositorio.uam.es/bitstream/handle/10486/663052/identification_tome_FSI_2013_ps.pdf?sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/24314504", "http://doi.org/10.1016/j.forsciint.2013.08.020"]}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "4a0b18fab67724313cafc35495af9dc5454fa6af", "title": "Sexually Dimorphic Faciometrics in Humans From Early Adulthood to Late Middle Age: Dynamic, Declining, and Differentiated.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a0b/18fab67724313cafc35495af9dc5454fa6af.pdf"], "doi": []}, {"id": "1890470d07a090e7b762091c7b9670b5c2e1c348", "title": "Improving Random Forests by Correlation-Enhancing Projections and Sample-Based Sparse Discriminant Selection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801525", "http://doi.ieeecomputersociety.org/10.1109/CRV.2016.20", "http://doi.org/10.1109/CRV.2016.20"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "c8b89de8d63d68166b3373e451916bf35e74d2f4", "title": "Hierarchical Facial Age Estimation Using Gaussian Process Regression", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8601185"]}, {"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.06149.pdf"], "doi": []}, {"id": "fc04a50379e08ddde501816eb1f9560c36d01a39", "title": "Image Pre-processing Using OpenCV Library on MORPH-II Face Database", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06934.pdf"], "doi": []}, {"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"id": "1ae3a26a985fe525b23f080a9e1041ecff0509ad", "title": "A Comparative Study of Statistical Conversion of Face to Voice Based on Their Subjective Impressions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ae3/a26a985fe525b23f080a9e1041ecff0509ad.pdf"], "doi": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "7553fba5c7f73098524fbb58ca534a65f08e91e7", "title": "A Practical Approach for Determination of Human Gender & Age", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7553/fba5c7f73098524fbb58ca534a65f08e91e7.pdf"], "doi": []}, {"id": "997c7ebf467c579b55859315c5a7f15c1df43432", "title": "A Study of Convolutional Sparse Feature Learning for Human Age Estimate", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961792", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.141", "http://doi.org/10.1109/FG.2017.141"]}, {"id": "e2d4ead809ea9488be7e68caea0e7c2fcfce3fa1", "title": "A deep analysis on age estimation", "year": "2015", "pdf": ["http://www.hertasecurity.com/sites/default/files/publication/files/A-Deep-Analysis-on-Age-Estimation2.pdf", "https://upcommons.upc.edu/bitstream/handle/2117/83918/A%20deep%20analysis%20on%20age%20estimation.pdf?isAllowed=y&sequence=6"], "doi": ["https://doi.org/10.1016/j.patrec.2015.06.006", "https://www.wikidata.org/entity/Q57724169"]}, {"id": "1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6", "title": "Demographic Estimation from Face Images: Human vs. Machine Performance", "year": "2015", "pdf": ["http://cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf", "http://www.cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6920084", "http://doi.org/10.1109/TPAMI.2014.2362759", "https://www.ncbi.nlm.nih.gov/pubmed/26357339", "https://www.wikidata.org/entity/Q40552843"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977254", "http://doi.org/10.1109/ICPR.2014.542"]}, {"id": "3b1260d78885e872cf2223f2c6f3d6f6ea254204", "title": "Face Tracking and Recognition at a Distance: A Coaxial and Concentric PTZ Camera System", "year": "2013", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Choietal_FaceTrackingRecognitionDistancePTZCameraSystem.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Parketal_FaceTrackingRecognitionDistance_CoaxialConcentricPTZCameraSystem_TIFS13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512016", "http://doi.org/10.1109/TIFS.2013.2261061"]}, {"id": "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "title": "Age estimation via unsupervised neural networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163119", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163119", "http://doi.org/10.1109/FG.2015.7163119"]}, {"id": "744d23991a2c48d146781405e299e9b3cc14b731", "title": "Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection", "year": "2016", "pdf": ["http://www.cise.ufl.edu/~dihong/assets/LPS2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7420684", "http://doi.org/10.1109/TIP.2016.2535284", "https://www.ncbi.nlm.nih.gov/pubmed/26930681"]}, {"id": "362a70b6e7d55a777feb7b9fc8bc4d40a57cde8c", "title": "A partial least squares based ranker for fast and accurate age estimation", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0002792.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472186", "http://doi.org/10.1109/ICASSP.2016.7472186"]}, {"id": "87b607b8d4858a16731144d17f457a54e488f15d", "title": "Cross-Age Face Recognition on a Very Large Database: The Performance versus Age Intervals and Improvement Using Soft Biometric Traits", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Karl_Ricanek/publication/220931837_Cross-Age_Face_Recognition_on_a_Very_Large_Database_The_Performance_versus_Age_Intervals_and_Improvement_Using_Soft_Biometric_Traits/links/02bfe50d46b635ff13000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597532", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.828", "http://doi.org/10.1109/ICPR.2010.828"]}, {"id": "6e198f6cc4199e1c4173944e3df6f39a302cf787", "title": "MORPH-II : Inconsistencies and Cleaning Whitepaper", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e19/8f6cc4199e1c4173944e3df6f39a302cf787.pdf"], "doi": []}, {"id": "d9810786fccee5f5affaef59bc58d2282718af9b", "title": "Adaptive Frame Selection for Enhanced Face Recognition in Low-Resolution Videos", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d981/0786fccee5f5affaef59bc58d2282718af9b.pdf"], "doi": []}, {"id": "a534f41608ee0157ff002a0d5e5d39deb0d34797", "title": "On soft biometrics", "year": "2015", "pdf": ["http://vbn.aau.dk/files/219488771/on_softbiometrics_preprint.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2015.08.006", "https://www.wikidata.org/entity/Q57724073"]}, {"id": "0c6a566ebdac4bd14e80cd6bf4631bc7458e1595", "title": "Local descriptors in application to the aging problem in face recognition", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2013.03.010"]}, {"id": "bc6de183cd8b2baeebafeefcf40be88468b04b74", "title": "Age Group Recognition using Human Facial Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e057/e713301e089887295543226b79b534fdd145.pdf"], "doi": []}, {"id": "79581c364cefe53bff6bdd224acd4f4bbc43d6d4", "title": "Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.06838.pdf"], "doi": []}, {"id": "40033c6a0b534a6023a78ee2a144edd7f10fa696", "title": "Facial soft biometric features for forensic face recognition.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_FSI_ForensicFacialFeat_PTome_final.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26454196", "https://doi.org/10.1016/j.forsciint.2015.09.002"]}, {"id": "3c0bbfe664fb083644301c67c04a7f1331d9515f", "title": "The Role of Color and Contrast in Facial Age Estimation Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3c0b/bfe664fb083644301c67c04a7f1331d9515f.pdf"], "doi": []}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893", "http://doi.org/10.1109/TMM.2015.2420374"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "8c5cf18c456957c63248245791f44a685e832345", "title": "Implementation of perceptual resemblance of local plastic surgery facial images using Near Sets", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7193017"]}, {"id": "72cd5d81e4541c80c611a9bcab85bdcf14d5f028", "title": "Age group classification based on facial images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/72cd/5d81e4541c80c611a9bcab85bdcf14d5f028.pdf"], "doi": []}, {"id": "1135a818b756b057104e45d976546970ba84e612", "title": "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961848", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.118", "http://doi.org/10.1109/FG.2017.118"]}, {"id": "dcb44fc19c1949b1eda9abe998935d567498467d", "title": "Ordinal Zero-Shot Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/dcb4/4fc19c1949b1eda9abe998935d567498467d.pdf"], "doi": []}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014811", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.77", "http://doi.org/10.1109/CVPRW.2017.77"]}, {"id": "60ce4a9602c27ad17a1366165033fe5e0cf68078", "title": "Combination of Face Regions in Forensic Scenarios.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_JFO_FaceRegionFusion_Tome.pdf", "http://atvs.ii.uam.es/files/2015_JFO_FaceRegionFusion_Tome.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26189995", "http://doi.org/10.1111/1556-4029.12800"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "e16efd2ae73a325b7571a456618bfa682b51aef8", "title": "Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/93f8/4b8200aeba68af767c4f143233829e8ce6d9.pdf"], "doi": []}, {"id": "f47404424270f6a20ba1ba8c2211adfba032f405", "title": "Identification of Face Age range Group using Neural Network", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f474/04424270f6a20ba1ba8c2211adfba032f405.pdf"], "doi": []}, {"id": "b034cc919af30e96ee7bed769b93ea5828ae361b", "title": "Soft-Margin Mixture of Regressions", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Soft-Margin_Mixture_of_CVPR_2017_paper.pdf", "http://www.ca.cs.cmu.edu/sites/default/files/08099915.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099915", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.432", "http://doi.org/10.1109/CVPR.2017.432"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "621741b87258c745f8905d15ba81aaf2a8be60d2", "title": "A Study of Geometric Features for Aging Face Recognition", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5659191"]}, {"id": "574751dbb53777101502419127ba8209562c4758", "title": "Gender classification from unaligned facial images using support subspaces", "year": "2013", "pdf": ["http://ochoa.pc.cs.cmu.edu/wschu/papers/doc/ins13-gender.pdf"], "doi": ["http://doi.org/10.1016/j.ins.2012.09.008"]}, {"id": "c05a7c72e679745deab9c9d7d481f7b5b9b36bdd", "title": "Naval Postgraduate School Monterey, California Approved for Public Release; Distribution Is Unlimited Biometric Challenges for Future Deployments: a Study of the Impact of Geography, Climate, Culture, and Social Conditions on the Effective Collection of Biometrics", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c05a/7c72e679745deab9c9d7d481f7b5b9b36bdd.pdf"], "doi": []}, {"id": "09111da0aedb231c8484601444296c50ca0b5388", "title": "Joint estimation of age, gender and ethnicity: CCA vs. PLS", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553737.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553737", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553737", "http://doi.org/10.1109/FG.2013.6553737"]}, {"id": "d3c004125c71942846a9b32ae565c5216c068d1e", "title": "Recognizing Age-Separated Face Images: Humans and Machines", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d3c0/04125c71942846a9b32ae565c5216c068d1e.pdf"], "doi": []}, {"id": "362ba8317aba71c78dafca023be60fb71320381d", "title": "Nighttime face recognition at large standoff: Cross-distance and cross-spectral matching", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/KangHanJainLee_NighttimeFRatLargeStandoff_P.R.2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2014.06.004"]}, {"id": "2c8743089d9c7df04883405a31b5fbe494f175b4", "title": "Real-time full-body human gender recognition in (RGB)-D data", "year": "2015", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/linderICRA15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139616", "http://doi.org/10.1109/ICRA.2015.7139616"]}, {"id": "63488398f397b55552f484409b86d812dacde99a", "title": "Learning Universal Multiview Age Estimator by Video Contexts", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6348/8398f397b55552f484409b86d812dacde99a.pdf"], "doi": []}, {"id": "b1301c722886b6028d11e4c2084ee96466218be4", "title": "Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02740.pdf"], "doi": []}, {"id": "e5dfd17dbfc9647ccc7323a5d62f65721b318ba9", "title": "Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e5df/d17dbfc9647ccc7323a5d62f65721b318ba9.pdf"], "doi": []}, {"id": "1035536e484a167e3f7d7edca8de9cd5917383ec", "title": "UvA-DARE ( Digital Academic Repository ) Expression-Invariant Age Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0da7/e3fabea12a9242348df62de7754b2be28b44.pdf"], "doi": []}, {"id": "6e12ba518816cbc2d987200c461dc907fd19f533", "title": "A computational approach to body mass index prediction from face images", "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapers/BMIface2013.pdf", "http://www.csee.wvu.edu/~gdguo/myPapers/BMIface2013.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2013.03.001"]}, {"id": "a01f9461bc8cf8fe40c26d223ab1abea5d8e2812", "title": "Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a01f/9461bc8cf8fe40c26d223ab1abea5d8e2812.pdf"], "doi": []}, {"id": "03b31cbb8e64dc9402b76287f06f15840acff3f1", "title": "Privacy-Protective-GAN for Privacy Preserving Face De-Identification", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11390-019-1898-8"]}, {"id": "5f09018d330f8d62b9abd83d44f1097d945508e4", "title": "Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03268.pdf"], "doi": []}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301352", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301352", "http://doi.org/10.1109/CVPRW.2015.7301352"]}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "ac26166857e55fd5c64ae7194a169ff4e473eb8b", "title": "Personalized Age Progression with Bi-Level Aging Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01039.pdf"], "doi": []}, {"id": "4aeb87c11fb3a8ad603311c4650040fd3c088832", "title": "Self-paced Mixture of Regressions", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4aeb/87c11fb3a8ad603311c4650040fd3c088832.pdf"], "doi": []}, {"id": "d09df8a2e7cfef667e7836a157d0d26658be788f", "title": "Cumulative attribute relation regularization learning for human age estimation", "year": "2015", "pdf": ["http://parnec.nuaa.edu.cn/pubs/songcan%20chen/journal/2015/TQ-Neucom-2015.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2015.03.078"]}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"], "doi": []}, {"id": "8cffe360a05085d4bcba111a3a3cd113d96c0369", "title": "Learning universal multi-view age estimator using video context", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126248", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126248", "http://doi.org/10.1109/ICCV.2011.6126248"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7094272", "http://doi.org/10.1109/TIP.2015.2426413", "https://www.ncbi.nlm.nih.gov/pubmed/25915959"]}, {"id": "35e4b6c20756cd6388a3c0012b58acee14ffa604", "title": "Gender Classification in Large Databases", "year": "2012", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15085/5/C082_LNCS_CIARP12_postprint.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33275-3_9"]}, {"id": "197eaa59a003a4c7cc77c1abe0f99d942f716942", "title": "Web image mining towards universal age estimator", "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1631287"]}, {"id": "812d3f6975f4cb87e9905ef18696c5c779227634", "title": "A novel comparative deep learning framework for facial age estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/812d/3f6975f4cb87e9905ef18696c5c779227634.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/mot.json b/site/datasets/unknown/mot.json index 111cdee5..4bcd747d 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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "a921dbe7659e4a75c1ac53f5bdc1fcdc6caa5933", "title": "Title Detection based low frame rate human tracking", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/a921/dbe7659e4a75c1ac53f5bdc1fcdc6caa5933.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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "b90b462619ba03fd3de0fd01b6c293185f4ba71d", "title": "Learning from Demonstration in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03516.pdf"], "doi": []}, {"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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "a921dbe7659e4a75c1ac53f5bdc1fcdc6caa5933", "title": "Title Detection based low frame rate human tracking", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/a921/dbe7659e4a75c1ac53f5bdc1fcdc6caa5933.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/msceleb.json b/site/datasets/unknown/msceleb.json index e17f919d..c52ccfe8 100644 --- a/site/datasets/unknown/msceleb.json +++ b/site/datasets/unknown/msceleb.json @@ -1 +1 @@ -{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "citations": [{"id": "3dc522a6576c3475e4a166377cbbf4ba389c041f", "title": "The iNaturalist Challenge 2017 Dataset.", "year": "2017", "pdf": [], "doi": []}, {"id": "cb2470aade8e5630dcad5e479ab220db94ecbf91", "title": "Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397018", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00062", "http://doi.org/10.1109/MIPR.2018.00062"]}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "332548fd2e52b27e062bd6dcc1db0953ced6ed48", "title": "Low-Shot Face Recognition with Hybrid Classifiers", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Wu_Low-Shot_Face_Recognition_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265438", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.228", "http://doi.org/10.1109/ICCVW.2017.228"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "5121f42de7cb9e41f93646e087df82b573b23311", "title": "Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04347.pdf"], "doi": []}, {"id": "19d53bb35baf6ab02368756412800c218a2df71c", "title": "DeepDeblur: Fast one-step blurry face images restoration.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09515.pdf"], "doi": []}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "12ba7c6f559a69fbfaacf61bfb2f8431505b09a0", "title": "DocFace+: ID Document to Selfie Matching", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05620.pdf"], "doi": []}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "4874daed0f6a42d03011ed86e5ab46f231b02c13", "title": "GridFace: Face Rectification via Learning Local Homography Transformations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06210.pdf"], "doi": []}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "c808c784237f167c78a87cc5a9d48152579c27a4", "title": "Know You at One Glance: A Compact Vector Representation for Low-Shot Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265437", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.227", "http://doi.org/10.1109/ICCVW.2017.227"]}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.pdf"], "doi": []}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "95df57cf3e15d75a8526b4fd3212d39538d31100", "title": "Towards Pose Invariant Face Recognition in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578333"]}, {"id": "266766818dbc5a4ca1161ae2bc14c9e269ddc490", "title": "Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2667/66818dbc5a4ca1161ae2bc14c9e269ddc490.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": "944ea33211d67663e04d0181843db634e42cb2ca", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d", "title": "High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Xu_High_Performance_Large_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265434", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.224", "http://doi.org/10.1109/ICCVW.2017.224"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579001"]}, {"id": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "e36fdb50844132fc7925550398e68e7ae95467de", "title": "Face Verification with Disguise Variations via Deep Disguise Recognizer", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575251"]}, {"id": "98b2f21db344b8b9f7747feaf86f92558595990c", "title": "PACES OF G ENERATIVE A DVERSARIAL N ETWORKS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf"], "doi": []}, {"id": "779904cb019c9d622b90948c99aded91cab9524a", "title": "Facial-based Intrusion Detection System with Deep Learning in Embedded Devices", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3290598"]}, {"id": "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "title": "Deep Disguised Faces Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Zhang_Deep_Disguised_Faces_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575272", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00012", "http://doi.org/10.1109/CVPRW.2018.00012"]}, {"id": "b4f58d7fc87a9c276965e604fbe83592bae7f4e5", "title": "ROC-GAN: ROBUST CONDITIONAL GAN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4f5/8d7fc87a9c276965e604fbe83592bae7f4e5.pdf"], "doi": []}, {"id": "b26d5d929cc3c0d14da058961ddd024f4c9690f5", "title": "Robust Conditional Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08657.pdf"], "doi": []}, {"id": "32aeb90992f6cf8494b1b5c67f4b912feef05e9c", "title": "Incremental Classifier Learning with Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00853.pdf"], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "352a620f0b96a7e76b9195a7038d5eec257fd994", "title": "Kinship Classification through Latent Adaptive Subspace", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373823", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00030", "http://doi.org/10.1109/FG.2018.00030"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "5209758096819efee15751c8875121bd27f2ee78", "title": "Finding Person Relations in Image Data of the Internet Archive", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08246.pdf"], "doi": []}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b80/5f8cbcffe7f5e2cc7af86b5649330b15298d.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "4a56d3240a924240c2392c0d5dea8715f6715277", "title": "Under review as a conference paper at ICLR 2019 Sampled Latents D iscrim inator G enerator Real Images Real or Fake ? Generated Images Contrastive Loss Pull Push", "year": "", "pdf": ["https://pdfs.semanticscholar.org/4a56/d3240a924240c2392c0d5dea8715f6715277.pdf"], "doi": []}, {"id": "eb526174fa071345ff7b1fad1fad240cd943a6d7", "title": "Deeply vulnerable: a study of the robustness of face recognition to presentation attacks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb52/6174fa071345ff7b1fad1fad240cd943a6d7.pdf"], "doi": []}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "ff44d8938c52cfdca48c80f8e1618bbcbf91cb2a", "title": "Towards Video Captioning with Naming: A Novel Dataset and a Multi-modal Approach", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff44/d8938c52cfdca48c80f8e1618bbcbf91cb2a.pdf"], "doi": []}, {"id": "c1482491f553726a8349337351692627a04d5dbe", "title": "When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00048.pdf"], "doi": []}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "5ec94635977929ccd1e2a8b6a0138868e6ac0543", "title": "The iNaturalist Species Classification and Detection Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579012"]}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "title": "Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02412.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.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": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"], "doi": []}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "d8526863f35b29cbf8ac2ae756eaae0d2930ffb1", "title": "Face Generation for Low-Shot Learning Using Generative Adversarial Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Choe_Face_Generation_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265439", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.229", "http://doi.org/10.1109/ICCVW.2017.229"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "5f64a2a9b6b3d410dd60dc2af4a58a428c5d85f9", "title": "Scalable Object Detection for Stylized Objects", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09822.pdf"], "doi": []}, {"id": "8509abbde2f4b42dc26a45cafddcccb2d370712f", "title": "A way to improve precision of face recognition in SIPP without retrain of the deep neural network model", "year": "2017", "pdf": [], "doi": []}, {"id": "69adf2f122ff18848ff85e8de3ee3b2bc495838e", "title": "Arbitrary Facial Attribute Editing: Only Change What You Want", "year": "2017", "pdf": [], "doi": []}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "436d80cc1b52365ed7b2477c0b385b6fbbb51d3b", "title": "Probabilistic Knowledge Transfer for Deep Representation Learning", "year": "2018", "pdf": [], "doi": []}, {"id": "3e3227c8e9f44593d2499f4d1302575c77977b2e", "title": "Facial Expression Recognition Using a Large Out-of-Context Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347112", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00012", "http://doi.org/10.1109/WACVW.2018.00012"]}]}
\ No newline at end of file +{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "citations": [{"id": "3dc522a6576c3475e4a166377cbbf4ba389c041f", "title": "The iNaturalist Challenge 2017 Dataset.", "year": "2017", "pdf": [], "doi": []}, {"id": "cb2470aade8e5630dcad5e479ab220db94ecbf91", "title": "Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397018", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00062", "http://doi.org/10.1109/MIPR.2018.00062"]}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "a35483c9becc95faa16bf70a8c6355566a205091", "title": "FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578190"]}, {"id": "332548fd2e52b27e062bd6dcc1db0953ced6ed48", "title": "Low-Shot Face Recognition with Hybrid Classifiers", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Wu_Low-Shot_Face_Recognition_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265438", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.228", "http://doi.org/10.1109/ICCVW.2017.228"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "5121f42de7cb9e41f93646e087df82b573b23311", "title": "Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04347.pdf"], "doi": []}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "c808c784237f167c78a87cc5a9d48152579c27a4", "title": "Know You at One Glance: A Compact Vector Representation for Low-Shot Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265437", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.227", "http://doi.org/10.1109/ICCVW.2017.227"]}, {"id": "f47518fcd69cdbb43dc88fe5259f4f4c61921313", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "95df57cf3e15d75a8526b4fd3212d39538d31100", "title": "Towards Pose Invariant Face Recognition in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578333"]}, {"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": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"], "doi": []}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579001"]}, {"id": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "e36fdb50844132fc7925550398e68e7ae95467de", "title": "Face Verification with Disguise Variations via Deep Disguise Recognizer", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575251"]}, {"id": "98b2f21db344b8b9f7747feaf86f92558595990c", "title": "PACES OF G ENERATIVE A DVERSARIAL N ETWORKS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf"], "doi": []}, {"id": "779904cb019c9d622b90948c99aded91cab9524a", "title": "Facial-based Intrusion Detection System with Deep Learning in Embedded Devices", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3290598"]}, {"id": "b4f58d7fc87a9c276965e604fbe83592bae7f4e5", "title": "ROC-GAN: ROBUST CONDITIONAL GAN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b4f5/8d7fc87a9c276965e604fbe83592bae7f4e5.pdf"], "doi": []}, {"id": "b26d5d929cc3c0d14da058961ddd024f4c9690f5", "title": "Robust Conditional Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08657.pdf"], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "352a620f0b96a7e76b9195a7038d5eec257fd994", "title": "Kinship Classification through Latent Adaptive Subspace", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373823", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00030", "http://doi.org/10.1109/FG.2018.00030"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "5b7a5b8ea99ea79e0a0ae53b45bc9b2b1aa99952", "title": "Learning towards Minimum Hyperspherical Energy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "1b805f8cbcffe7f5e2cc7af86b5649330b15298d", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b80/5f8cbcffe7f5e2cc7af86b5649330b15298d.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "4a56d3240a924240c2392c0d5dea8715f6715277", "title": "Under review as a conference paper at ICLR 2019 Sampled Latents D iscrim inator G enerator Real Images Real or Fake ? Generated Images Contrastive Loss Pull Push", "year": "", "pdf": ["https://pdfs.semanticscholar.org/4a56/d3240a924240c2392c0d5dea8715f6715277.pdf"], "doi": []}, {"id": "eb526174fa071345ff7b1fad1fad240cd943a6d7", "title": "Deeply vulnerable: a study of the robustness of face recognition to presentation attacks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb52/6174fa071345ff7b1fad1fad240cd943a6d7.pdf"], "doi": []}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "ff44d8938c52cfdca48c80f8e1618bbcbf91cb2a", "title": "Towards Video Captioning with Naming: A Novel Dataset and a Multi-modal Approach", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff44/d8938c52cfdca48c80f8e1618bbcbf91cb2a.pdf"], "doi": []}, {"id": "c1482491f553726a8349337351692627a04d5dbe", "title": "When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00048.pdf"], "doi": []}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "5ec94635977929ccd1e2a8b6a0138868e6ac0543", "title": "The iNaturalist Species Classification and Detection Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579012"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "title": "Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02412.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": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"], "doi": []}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "5f64a2a9b6b3d410dd60dc2af4a58a428c5d85f9", "title": "Scalable Object Detection for Stylized Objects", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09822.pdf"], "doi": []}, {"id": "8509abbde2f4b42dc26a45cafddcccb2d370712f", "title": "A way to improve precision of face recognition in SIPP without retrain of the deep neural network model", "year": "2017", "pdf": [], "doi": []}, {"id": "69adf2f122ff18848ff85e8de3ee3b2bc495838e", "title": "Arbitrary Facial Attribute Editing: Only Change What You Want", "year": "2017", "pdf": [], "doi": []}, {"id": "c5b324f7f9abdffc1be83f640674beda81b74315", "title": "Towards Open-Set Identity Preserving Face Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578800"]}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "436d80cc1b52365ed7b2477c0b385b6fbbb51d3b", "title": "Probabilistic Knowledge Transfer for Deep Representation Learning", "year": "2018", "pdf": [], "doi": []}, {"id": "3e3227c8e9f44593d2499f4d1302575c77977b2e", "title": "Facial Expression Recognition Using a Large Out-of-Context Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347112", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00012", "http://doi.org/10.1109/WACVW.2018.00012"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/pa_100k.json b/site/datasets/unknown/pa_100k.json index cc3687c8..a2e7037b 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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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/peta.json b/site/datasets/unknown/peta.json index f68663bf..041c3a82 100644 --- a/site/datasets/unknown/peta.json +++ b/site/datasets/unknown/peta.json @@ -1 +1 @@ -{"id": "2a4bbee0b4cf52d5aadbbc662164f7efba89566c", "citations": [{"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": "aff69fb91d8bbebe989703f35ff86d5becef8c89", "title": "Adversarial Attribute-Image Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01493.pdf"], "doi": []}, {"id": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.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": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "5a677694e23fc36c08e3752e9428fb2b90ab0397", "title": "Multi-attribute Residual Network (MAResNet) for Soft-Biometrics Recognition in Surveillance Scenarios", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961767", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.55", "http://doi.org/10.1109/FG.2017.55"]}, {"id": "bf665daa2efc8ea41fd4b254921dac6cee11ffa6", "title": "Attribute Recognition by Joint Recurrent Learning of Context and Correlation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237327"]}, {"id": "50c89813eab745dc170bf440cba869d3999a2827", "title": "Hierarchical pedestrian attribute recognition based on adaptive region localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026292", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026292", "http://doi.org/10.1109/ICMEW.2017.8026292"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.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"]}, {"id": "cea08e768eff490c51ac1d884163cbc5ec862015", "title": "Framework for estimating distance and dimension attributes of pedestrians in real-time environments using monocular camera", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.052"]}, {"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": "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": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.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": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.pdf"], "doi": []}, {"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": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.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": "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": "c383d55c717caaef3655be23fb051a2168e14ca2", "title": "Two-Stream Part-Based Deep Representation for Human Attribute Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411208", "http://doi.org/10.1109/ICB2018.2018.00024"]}, {"id": "37b207d2c4a82a57f80e96353f79ecd71320a854", "title": "Person Search with Natural Language Description", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05729.pdf"], "doi": []}, {"id": "37381718559f767fc496cc34ceb98ff18bc7d3e1", "title": "Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3738/1718559f767fc496cc34ceb98ff18bc7d3e1.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": "b37538f9364252eec4182bdbb80ef1e4614c3acd", "title": "Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification", "year": "2017", "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": "ea9857a5e5c72d435054a5a73e50dafb755a2597", "title": "Comparative study of histogram distance measures for re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08134.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": "a05a770bb2b7778e195a578006482926dfc1af82", "title": "Learning to Recognize Pedestrian Attribute", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.00901.pdf"], "doi": []}, {"id": "6ce6da7a6b2d55fac604d986595ba6979580393b", "title": "Cross Domain Knowledge Transfer for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06026.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "2a4bbee0b4cf52d5aadbbc662164f7efba89566c", "citations": [{"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": "aff69fb91d8bbebe989703f35ff86d5becef8c89", "title": "Adversarial Attribute-Image Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01493.pdf"], "doi": []}, {"id": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.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": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "5a677694e23fc36c08e3752e9428fb2b90ab0397", "title": "Multi-attribute Residual Network (MAResNet) for Soft-Biometrics Recognition in Surveillance Scenarios", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961767", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.55", "http://doi.org/10.1109/FG.2017.55"]}, {"id": "bf665daa2efc8ea41fd4b254921dac6cee11ffa6", "title": "Attribute Recognition by Joint Recurrent Learning of Context and Correlation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237327"]}, {"id": "50c89813eab745dc170bf440cba869d3999a2827", "title": "Hierarchical pedestrian attribute recognition based on adaptive region localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026292", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026292", "http://doi.org/10.1109/ICMEW.2017.8026292"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.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"]}, {"id": "cea08e768eff490c51ac1d884163cbc5ec862015", "title": "Framework for estimating distance and dimension attributes of pedestrians in real-time environments using monocular camera", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.052"]}, {"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": "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": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.pdf"], "doi": []}, {"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": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.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": "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": "c383d55c717caaef3655be23fb051a2168e14ca2", "title": "Two-Stream Part-Based Deep Representation for Human Attribute Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411208", "http://doi.org/10.1109/ICB2018.2018.00024"]}, {"id": "37b207d2c4a82a57f80e96353f79ecd71320a854", "title": "Person Search with Natural Language Description", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05729.pdf"], "doi": []}, {"id": "37381718559f767fc496cc34ceb98ff18bc7d3e1", "title": "Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3738/1718559f767fc496cc34ceb98ff18bc7d3e1.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": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"], "doi": []}, {"id": "ea9857a5e5c72d435054a5a73e50dafb755a2597", "title": "Comparative study of histogram distance measures for re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08134.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": "a05a770bb2b7778e195a578006482926dfc1af82", "title": "Learning to Recognize Pedestrian Attribute", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.00901.pdf"], "doi": []}, {"id": "6ce6da7a6b2d55fac604d986595ba6979580393b", "title": "Cross Domain Knowledge Transfer for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06026.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/prid.json b/site/datasets/unknown/prid.json index fe3fa258..f43544f1 100644 --- a/site/datasets/unknown/prid.json +++ b/site/datasets/unknown/prid.json @@ -1 +1 @@ -{"id": "16c7c31a7553d99f1837fc6e88e77b5ccbb346b8", "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.pdf"], "doi": []}, {"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": "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": "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": "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": "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": "25b83cffddff334d78c55db4d67c65b1d8999b2f", "title": "Optimization of Person Re-Identification through Visual Descriptors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/25b8/3cffddff334d78c55db4d67c65b1d8999b2f.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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.pdf"], "doi": []}, {"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": "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": "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": "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": "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": "25b83cffddff334d78c55db4d67c65b1d8999b2f", "title": "Optimization of Person Re-Identification through Visual Descriptors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/25b8/3cffddff334d78c55db4d67c65b1d8999b2f.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": "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": "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": "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": "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": "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": "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/unknown/ufdd.json b/site/datasets/unknown/ufdd.json index 8a6cb8e1..05cbb7e8 100644 --- a/site/datasets/unknown/ufdd.json +++ b/site/datasets/unknown/ufdd.json @@ -1 +1 @@ -{"id": "3531332efe19be21e7401ba1f04570a142617236", "citations": [{"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "774c9a3d7a38060550ed47ce8a3e4177fa1115e1", "title": "Improving Face Detection Performance with 3D-Rendered Synthetic Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07363.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "3531332efe19be21e7401ba1f04570a142617236", "citations": [{"id": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "774c9a3d7a38060550ed47ce8a3e4177fa1115e1", "title": "Improving Face Detection Performance with 3D-Rendered Synthetic Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07363.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/umd_faces.json b/site/datasets/unknown/umd_faces.json index 933eac33..14555dc5 100644 --- a/site/datasets/unknown/umd_faces.json +++ b/site/datasets/unknown/umd_faces.json @@ -1 +1 @@ -{"id": "31b05f65405534a696a847dd19c621b7b8588263", "citations": [{"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "6932baa348943507d992aba75402cfe8545a1a9b", "title": "Stacked Hourglass Network for Robust Facial Landmark Localisation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Yang_Stacked_Hourglass_Network_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.253", "http://doi.org/10.1109/CVPRW.2017.253"]}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "cc47368fe303c6cbda38caf5ac0e1d1c9d7e2a52", "title": "University Classroom Attendance Based on Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089918"]}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "944ea33211d67663e04d0181843db634e42cb2ca", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "title": "Deep Disguised Faces Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Zhang_Deep_Disguised_Faces_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575272", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00012", "http://doi.org/10.1109/CVPRW.2018.00012"]}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "377c6563f97e76a4dc836a0bd23d7673492b1aae", "title": "Motion deblurring of faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03330.pdf"], "doi": []}, {"id": "7b8aa3ebeae17e5266dac23e87f603a5d5f7b1e3", "title": "Open Set Logo Detection and Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.10891.pdf"], "doi": []}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face Alignment", "year": "2018", "pdf": [], "doi": []}, {"id": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"], "doi": []}, {"id": "29933de38d72a0941d763b7ac5a480e733ef74a2", "title": "Set Logo Detection and Retrieval", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2993/3de38d72a0941d763b7ac5a480e733ef74a2.pdf"], "doi": []}, {"id": "c69916375fec3c3ebba3aafb31c99a2beb0151c4", "title": "Face recognition in video surveillance from a single reference sample through domain adaptation", "year": "2017", "pdf": [], "doi": []}, {"id": "9b666e20f570387214926eee542965f3fbe3cfce", "title": "Side Information for Face Completion: a Robust PCA Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07580.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "31b05f65405534a696a847dd19c621b7b8588263", "citations": [{"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "6932baa348943507d992aba75402cfe8545a1a9b", "title": "Stacked Hourglass Network for Robust Facial Landmark Localisation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Yang_Stacked_Hourglass_Network_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.253", "http://doi.org/10.1109/CVPRW.2017.253"]}, {"id": "cc47368fe303c6cbda38caf5ac0e1d1c9d7e2a52", "title": "University Classroom Attendance Based on Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8089918"]}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "377c6563f97e76a4dc836a0bd23d7673492b1aae", "title": "Motion deblurring of faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03330.pdf"], "doi": []}, {"id": "7b8aa3ebeae17e5266dac23e87f603a5d5f7b1e3", "title": "Open Set Logo Detection and Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.10891.pdf"], "doi": []}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face Alignment", "year": "2018", "pdf": [], "doi": []}, {"id": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"], "doi": []}, {"id": "29933de38d72a0941d763b7ac5a480e733ef74a2", "title": "Set Logo Detection and Retrieval", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2993/3de38d72a0941d763b7ac5a480e733ef74a2.pdf"], "doi": []}, {"id": "c69916375fec3c3ebba3aafb31c99a2beb0151c4", "title": "Face recognition in video surveillance from a single reference sample through domain adaptation", "year": "2017", "pdf": [], "doi": []}, {"id": "9b666e20f570387214926eee542965f3fbe3cfce", "title": "Side Information for Face Completion: a Robust PCA Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07580.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/vgg_faces.json b/site/datasets/unknown/vgg_faces.json index 6020d58f..c38ac7f6 100644 --- a/site/datasets/unknown/vgg_faces.json +++ b/site/datasets/unknown/vgg_faces.json @@ -1 +1 @@ -{"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "citations": [{"id": "6aef8eeff5f532dcdad95043ba464720be664ab8", "title": "Computer vision for assistive technologies", "year": "2017", "pdf": ["http://cvrr.ucsd.edu/publications/2016/ComputerVisionforAssistiveTech-cviu2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.001"]}, {"id": "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "title": "Comparator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11440.pdf"], "doi": []}, {"id": "ac12ba5bf81de83991210b4cd95b4ad048317681", "title": "Combining Deep Facial and Ambient Features for First Impression Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac12/ba5bf81de83991210b4cd95b4ad048317681.pdf"], "doi": []}, {"id": "4f53f80cc0d11beb3a086b98ba8ebaed6ec688de", "title": "Task Specific Networks for Identity and Face Variation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373840", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00047", "http://doi.org/10.1109/FG.2018.00047"]}, {"id": "c6fdbdbbbc7642daae22df0b7812e78d0647afb3", "title": "Unsupervised feature learning with C-SVDDNet", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.7259.pdf"], "doi": []}, {"id": "70ec156f7e6de0275c7e4e95e35f1bc1e92e29b3", "title": "Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.04662.pdf"], "doi": []}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "271fbc4c09b3f2eb9f56dc2bbac89262b3bc083d", "title": "Domain Adaptation with Soft-margin multiple feature-kernel learning beats Deep Learning for surveillance face recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01374.pdf"], "doi": []}, {"id": "0cfca73806f443188632266513bac6aaf6923fa8", "title": "Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04756.pdf"], "doi": []}, {"id": "98ba5933d7fe9fec0f3b39d7072662007ca6a57e", "title": "ExprGAN: Facial Expression Editing With Controllable Expression Intensity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03842.pdf"], "doi": []}, {"id": "203fcd66c043e44fefd783b8f54105f0a577fc25", "title": "Analyzing Content and Customer Engagement in Social Media with Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/203f/cd66c043e44fefd783b8f54105f0a577fc25.pdf"], "doi": []}, {"id": "5c35ac04260e281141b3aaa7bbb147032c887f0c", "title": "Face Detection and Tracking Control with Omni Car", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c35/ac04260e281141b3aaa7bbb147032c887f0c.pdf"], "doi": []}, {"id": "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "title": "Frankenstein: Learning Deep Face Representations Using Small Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06470.pdf"], "doi": []}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "99ced8f36d66dce20d121f3a29f52d8b27a1da6c", "title": "Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05675.pdf"], "doi": []}, {"id": "0ebc58bb5d517db0111f3565c4eb378d93dad908", "title": "Seeing Through Noise: Speaker Separation and Enhancement using Visually-derived Speech", "year": "2017", "pdf": [], "doi": []}, {"id": "b6259115b819424de53bb92f64cc459dcb649f31", "title": "Learning Feature Representation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078466", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078466", "http://doi.org/10.1109/AVSS.2017.8078466"]}, {"id": "19075e854e29edce89a1cb39167eb1af06b86fe5", "title": "GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Duan_GraphBit_Bitwise_Interaction_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578961", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00863", "http://doi.org/10.1109/CVPR.2018.00863"]}, {"id": "dd888fd4f6d04623a34fc2286ff1e26280c2f0f0", "title": "Evaluating a Convolutional Neural Network on Short-Wave Infra-Red Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347108", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00008", "http://doi.org/10.1109/WACVW.2018.00008"]}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "c69916375fec3c3ebba3aafb31c99a2beb0151c4", "title": "Face recognition in video surveillance from a single reference sample through domain adaptation", "year": "2017", "pdf": [], "doi": []}, {"id": "2b507f659b341ed0f23106446de8e4322f4a3f7e", "title": "Deep Identity-aware Transfer of Facial Attributes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05586.pdf"], "doi": []}, {"id": "13831e47759e11f8cc6c77fa64ad34272b409b34", "title": "Compressing deep neural networks for efficient visual inference", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019465", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019465", "http://doi.org/10.1109/ICME.2017.8019465"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.pdf"], "doi": []}, {"id": "11aa92ecea8674138c375d2bfea3ddc4f5811b45", "title": "Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11392.pdf"], "doi": []}, {"id": "8935ffe454758e2e5def0b5190de6e28c350b3b8", "title": "Learning to Reconstruct Face Geometries Research", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea06/abd83c491877f0ce04cc7780ce068578f282.pdf"], "doi": []}, {"id": "b8f3f6d8f188f65ca8ea2725b248397c7d1e662d", "title": "Selfie Detection by Synergy-Constraint Based Convolutional Neural Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.04357.pdf"], "doi": []}, {"id": "9ea992f009492888c482d5f4006281eaa8b758e7", "title": "X2Face: A Network for Controlling Face Generation Using Images, Audio, and Pose Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10550.pdf"], "doi": []}, {"id": "81695fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f", "title": "Comparison of Face Recognition Neural Networks", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8169/5fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f.pdf"], "doi": []}, {"id": "e36fdb50844132fc7925550398e68e7ae95467de", "title": "Face Verification with Disguise Variations via Deep Disguise Recognizer", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575251"]}, {"id": "f94867160e0885bc397892e4db56fa7ce9ebc83a", "title": "Visualizing and Quantifying Discriminative Features for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373806", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00013", "http://doi.org/10.1109/FG.2018.00013"]}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "8191f76d9df5c59186859c4834026c8e0fb42922", "title": "Deep Semantic Face Deblurring", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578960"]}, {"id": "bb6801a2e7e3f319d6dc72a4ab5b4d16919d074d", "title": "Continuous Real-Time Vehicle Driver Authentication Using Convolutional Neural Network Based Face Recognition", "year": "2018", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/derman18hbu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373885", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00092", "http://doi.org/10.1109/FG.2018.00092"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "3929ff77805bc02993b187a6019dbed4f662d59c", "title": "Pose Overcomplete Automatic Registration Method for Video Based Robust Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8221077"]}, {"id": "2ad7cef781f98fd66101fa4a78e012369d064830", "title": "Neural Aggregation Network for Video Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.05474.pdf"], "doi": []}, {"id": "d041c8cb05a5555046f6e62a4efbb964fb560c31", "title": "Generating faces for affect analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05027.pdf"], "doi": []}, {"id": "eb3066de677f9f6131aab542d9d426aaf50ed2ce", "title": "Deep Transfer Network with 3D Morphable Models for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373860", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00067", "http://doi.org/10.1109/FG.2018.00067"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "710b7a0c45ca6ba84768025ed1a02804a9530ea9", "title": "Illumination invariant single face image recognition under heterogeneous lighting condition", "year": "2017", "pdf": ["http://isee.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Illumination%20Invariant%20Single%20Face%20Image%20Recognition%20under%20Heterogeneous%20Lighting%20Condition.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.029"]}, {"id": "e568236493c3606ecd8c576a62540545aed1c170", "title": "Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05155.pdf"], "doi": []}, {"id": "7f3a73babe733520112c0199ff8d26ddfc7038a0", "title": "Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f3a/73babe733520112c0199ff8d26ddfc7038a0.pdf"], "doi": []}, {"id": "c0be23ae7f327f9415e583aee1936b9932c9b58b", "title": "Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05476.pdf"], "doi": []}, {"id": "49fdafef327069516d887d8e69b5e96c983c3dd0", "title": "Face Retrieval in Video Sequences Using a Single Face Sample", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227433", "http://doi.org/10.1109/DICTA.2017.8227433"]}, {"id": "0f4dfdeca316a5d27d61ab6bcdf907cd44686941", "title": "Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images", "year": "2016", "pdf": ["http://vbn.aau.dk/files/245132512/FFER_Pain_Super_Resolution.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-56687-0_13"]}, {"id": "f49b4ab188dd090367d9f6762473879b2bba16cf", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578512"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "ca8ba835d8ebcc2d95d166ce34e051821367928f", "title": "Feature Vector Compression Based on Least Error Quantization", "year": "2016", "pdf": ["http://vislab.ucr.edu/Biometrics16/Vector_Compression.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Kawahara_Feature_Vector_Compression_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789508", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.18", "http://doi.org/10.1109/CVPRW.2016.18"]}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "52a9f957f776c8b3d913cfcd20452b9e31c27845", "title": "OPML: A one-pass closed-form solution for online metric learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09178.pdf"], "doi": []}, {"id": "25a784f7f8c94c42821ee078587fc38dffcd00a4", "title": "Robust Face Detection via Learning Small Faces on Hard Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11662.pdf"], "doi": []}, {"id": "b72eebffe697008048781ab7b768e0c96e52236a", "title": "Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Discriminative_Covariance_Oriented_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wang_Discriminative_Covariance_Oriented_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Discriminative%20Covariance%20Oriented%20Representation%20Learning%20for%20Face%20Recognition%20with%20Image%20Sets_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100092", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.609", "http://doi.org/10.1109/CVPR.2017.609"]}, {"id": "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "title": "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02952.pdf"], "doi": []}, {"id": "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "title": "Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S1060992X17020102"]}, {"id": "1a31192ac79d0eccef596f93d6170117a0111396", "title": "Image Based Facial Micro-Expression Recognition Using Deep Learning on Small Datasets", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227443", "http://doi.org/10.1109/DICTA.2017.8227443"]}, {"id": "64e216c128164f56bc91a33c18ab461647384869", "title": "Low-resolution Convolutional Neural Networks for video face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738017", "http://doi.org/10.1109/AVSS.2016.7738017"]}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"], "doi": []}, {"id": "7c86f71de716a297950dc46f45152e03bfbc475d", "title": "Asymmetric Joint Learning for Heterogeneous Face Recognition", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16096", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16096/16249"]}, {"id": "ff3a89da1140c7d75586527002f9fd28cbfb04b6", "title": "Strengths and weaknesses of deep learning models for face recognition against image degradations", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2017.0083"]}, {"id": "e83b017eaedfbf19d598799d8a1884c57c634782", "title": "GenLR-Net: Deep Framework for Very Low Resolution Face and Object Recognition with Generalization to Unseen Categories", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575553"]}, {"id": "c4da6de4135a67c1c34ca5432224a2e91de71a17", "title": "Facial Recognition via Transfer Learning: Fine-Tuning Keras_vggface", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560856"]}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "f2700e3d69d3cce2e0b1aea0d7f87e74aff437cd", "title": "Attention-Aware Deep Reinforcement Learning for Video Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Rao_Attention-Aware_Deep_Reinforcement_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237686", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.424", "http://doi.org/10.1109/ICCV.2017.424"]}, {"id": "fdaf65b314faee97220162980e76dbc8f32db9d6", "title": "Face recognition using both visible light image and near-infrared image and a deep network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fdaf/65b314faee97220162980e76dbc8f32db9d6.pdf"], "doi": []}, {"id": "4560491820e0ee49736aea9b81d57c3939a69e12", "title": "Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04008.pdf"], "doi": []}, {"id": "3555bdf6acee09ec7eb08b891a0f30b82c1b6482", "title": "Soft-Margin Learning for Multiple Feature-Kernel Combinations with Domain Adaptation, for Recognition in Surveillance Face Datasets", "year": "2016", "pdf": ["http://vislab.ucr.edu/Biometrics16/Soft-Margin_Learning.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Banerjee_Soft-Margin_Learning_for_CVPR_2016_paper.pdf", "https://arxiv.org/pdf/1610.01374v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789526", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.36", "http://doi.org/10.1109/CVPRW.2016.36"]}, {"id": "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "title": "Group-aware deep feature learning for facial age estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Group-aware%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.026"]}, {"id": "10e7dd3bbbfbc25661213155e0de1a9f043461a2", "title": "Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04200.pdf"], "doi": []}, {"id": "7a16f37ecccca4f9703ce190dc596149b4ccc8d2", "title": "A Deep Cascade Network for Unaligned Face Attribute Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03851.pdf"], "doi": []}, {"id": "dbc04694ef17c83bb12b3ad34da6092eab68ae68", "title": "Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.04423.pdf"], "doi": []}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "49484ace2786445c2181d2f2975ec3ce34f9ed6d", "title": "Online Attention for Interpretable Conflict Estimation in Political Debates", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373855", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00062", "http://doi.org/10.1109/FG.2018.00062"]}, {"id": "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "title": "Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.07662.pdf"], "doi": []}, {"id": "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "title": "Metric-based Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123334"]}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545308"]}, {"id": "5b3f345f1e3ff54e088b8d7ca2f831fd34dcb80a", "title": "Face Painting: querying art with photos", "year": "2015", "pdf": ["http://www.bmva.org/bmvc/2015/papers/paper065/abstract065.pdf", "http://www.bmva.org/bmvc/2015/papers/paper065/paper065.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Crowley15/crowley15.pdf", "https://www.research.ed.ac.uk/portal/files/28430753/crowley15.pdf"], "doi": ["https://doi.org/10.5244/C.29.65"]}, {"id": "f294278e03868257bfce132b8cf189359ada915a", "title": "Boosting Face in Video Recognition via CNN Based Key Frame Extraction", "year": "2018", "pdf": ["https://www.clarkson.edu/sites/default/files/2018-03/Boosting%20Face%20in%20Video%20Recognition%20via%20CNN%20based%20Key%20Frame%20Extraction.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411214", "http://doi.org/10.1109/ICB2018.2018.00030"]}, {"id": "ffcb92719dcd993dda292ca82d4585950ea22ac9", "title": "Handwritten Digit Recognition Using Convolutional Neural Networks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ffcb/92719dcd993dda292ca82d4585950ea22ac9.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d", "title": "High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Xu_High_Performance_Large_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265434", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.224", "http://doi.org/10.1109/ICCVW.2017.224"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "c81326a1ecb7e71ae38a665779b8d959d3938d1a", "title": "A Novel Neural Network Model Specified for Representing Logical Relations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00580.pdf"], "doi": []}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "6e38011e38a1c893b90a48e8f8eae0e22d2008e8", "title": "A Computer Vision Based Approach for Understanding Emotional Involvements in Children with Autism Spectrum Disorders", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Del_Coco_A_Computer_Vision_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265376", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.166", "http://doi.org/10.1109/ICCVW.2017.166"]}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "e83753a708e3bc8072851fe97aa6929515c518ec", "title": "Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546745"]}, {"id": "b2b535118c5c4dfcc96f547274cdc05dde629976", "title": "Automatic Recognition of Facial Displays of Unfelt Emotions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04061.pdf"], "doi": []}, {"id": "430cc88c6c73ab178c0e656b246f8f74d51c3a7f", "title": "You Will Succeed or Not? Matching Prediction in a Marriage Consulting Service", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966728", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.11", "http://doi.org/10.1109/BigMM.2017.11"]}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "f793970c7b57c3470561e9830cebbdd590a38bf4", "title": "Photo-realistic Facial Texture Transfer", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04306.pdf"], "doi": []}, {"id": "3e9405f88d82f70348317b42828b54718f60dc13", "title": "Thermal to Visible Synthesis of Face Images Using Multiple Regions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354114"]}, {"id": "eff063c99ebed728582a5895e312f660e8fde5f7", "title": "Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.04656.pdf"], "doi": []}, {"id": "6fa9bae381274518d3972294d81e460f0c63900b", "title": "Personalized Recommendations in Police Photo Lineup Assembling Task", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6fa9/bae381274518d3972294d81e460f0c63900b.pdf"], "doi": []}, {"id": "6eba25166fe461dc388805cc2452d49f5d1cdadd", "title": "ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6eba/25166fe461dc388805cc2452d49f5d1cdadd.pdf"], "doi": []}, {"id": "ea5fdb7f6c2e94d1a67bff622c566ddc66be19ab", "title": "Face recognition based on convolutional neural network and support vector machine", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832107"]}, {"id": "388b345e4d9e306e7072d0d2604fcc385d32acf4", "title": "Dynamic Feature Learning for Partial Face Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/He_Dynamic_Feature_Learning_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00737", "http://doi.org/10.1109/CVPR.2018.00737"]}, {"id": "71c4b8e1bb25ee80f4317411ea8180dae6499524", "title": "Extended Features using Machine Learning Techniques for Photo Liking Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463396", "http://doi.org/10.1109/QoMEX.2018.8463396"]}, {"id": "5ce80b41443518a14d800f6b93b4057bbb007432", "title": "Benchmarking Intelligence Processors", "year": "2017", "pdf": [], "doi": []}, {"id": "0c13bf7fcb238cc844dea24c0e2ad694a5f2cbde", "title": "Learning to Identify While Failing to Discriminate", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Sokolic_Learning_to_Identify_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265509", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.298", "http://doi.org/10.1109/ICCVW.2017.298"]}, {"id": "0a2d2b79ba39e2140c93543b8ce873f106c08e3d", "title": "Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.03279.pdf"], "doi": []}, {"id": "43dce79cf815b5c7068b1678f6200dabf8f5de31", "title": "Deep multi-frame face hallucination for face identification", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1709.03196"]}, {"id": "dd2e69465ecdcd67d5211babb9d1a6754468d174", "title": "DF2Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16730", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16730/16293"]}, {"id": "8e5804b8dddff600ee7646b8c33bebad4b550b31", "title": "Convolutional Neural Network-Based Periocular Recognition in Surveillance Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8482116", "http://doi.org/10.1109/ACCESS.2018.2874056"]}, {"id": "debab342dd7bf6980ba5c0ad9fd7d6d3cd691f46", "title": "Long-term face tracking in the wild using deep learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07646.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "6fdc0bc13f2517061eaa1364dcf853f36e1ea5ae", "title": "DAISEE: Dataset for Affective States in E-Learning Environments", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fdc/0bc13f2517061eaa1364dcf853f36e1ea5ae.pdf"], "doi": []}, {"id": "113b06e70b7eead8ae7450bafe9c91656705024c", "title": "Face Alignment across Large Pose via MT-CNN Based 3D Shape Reconstruction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373832", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00039", "http://doi.org/10.1109/FG.2018.00039"]}, {"id": "8d9445e579837e83099e137f2aa65681ce029697", "title": "DeepIED: An epileptic discharge detector for EEG-fMRI based on deep learning", "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S2213158217303108", "https://doi.org/10.1016/j.nicl.2017.12.005", "https://www.ncbi.nlm.nih.gov/pubmed/29321970"]}, {"id": "c808c784237f167c78a87cc5a9d48152579c27a4", "title": "Know You at One Glance: A Compact Vector Representation for Low-Shot Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265437", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.227", "http://doi.org/10.1109/ICCVW.2017.227"]}, {"id": "806c07757431ab3fd91f4276d350186cf6f9b7e4", "title": "Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1892/5ac92f9c8f6e82e0cc7a843234c6c494c4cc.pdf"], "doi": []}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}, {"id": "51c7236feaa2ae23cef78c7bca75c69d7081e24a", "title": "Deep multi-frame face super-resolution", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03196.pdf"], "doi": []}, {"id": "8fc730d22f33d08be927e5449f359dc15b5c3503", "title": "Measuring and modeling the perception of natural and unconstrained gaze in humans and machines", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.09819.pdf"], "doi": []}, {"id": "587f81ae87b42c18c565694c694439c65557d6d5", "title": "DeepFace : Face Generation using Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/587f/81ae87b42c18c565694c694439c65557d6d5.pdf"], "doi": []}, {"id": "4874daed0f6a42d03011ed86e5ab46f231b02c13", "title": "GridFace: Face Rectification via Learning Local Homography Transformations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06210.pdf"], "doi": []}, {"id": "20260d36506911e04ad1efed1e60b06bfc178d52", "title": "Deep 3D face identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10714.pdf"], "doi": []}, {"id": "084011fe855c3aabb3de1c25174d78082d04a5b7", "title": "WebLogo-2M: Scalable Logo Detection by Deep Learning from the Web", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w5/Su_WebLogo-2M_Scalable_Logo_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/SuEtAl_ICCV17WS.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36236/Gong%20WebLogo-2M%20Scalable%202018%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265251", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.41", "http://doi.org/10.1109/ICCVW.2017.41"]}, {"id": "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "title": "Facial Action Units Detection with Multi-Features and -AUs Fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961833", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.110", "http://doi.org/10.1109/FG.2017.110"]}, {"id": "f56a9a127a0c65f7a0977d93e260d74ed4d5aed9", "title": "3 D Face Recognition Under Unconstrained Settings Using Low-Cost Sensors", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f56a/9a127a0c65f7a0977d93e260d74ed4d5aed9.pdf"], "doi": []}, {"id": "317553d0c479cb9893b3884c96cfa681c80296a0", "title": "Facial Expression Recognition for Traumatic Brain Injured Patients", "year": "2018", "pdf": ["http://vbn.aau.dk/files/265229434/VISAPP_2018_189_CR.pdf", "http://www.scitepress.org/Papers/2018/67213/67213.pdf"], "doi": ["https://doi.org/10.5220/0006721305220530"]}, {"id": "944ea33211d67663e04d0181843db634e42cb2ca", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "1a8ab75050d1c5a6722d7fa05bebf8fd4edd698d", "title": "Towards on-farm pig face recognition using convolutional neural networks", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.compind.2018.02.016"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "089a5982768a077028d3675a615b32e67a12a22c", "title": "Face Beauty Analysis via Manifold based Semi-Supervised Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/089a/5982768a077028d3675a615b32e67a12a22c.pdf"], "doi": []}, {"id": "9c9417e7a3c04f6304d3e609ea9ff320bff285e8", "title": "Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237854"]}, {"id": "88337c4ca3eeb00538b9a1ac54180d02187c68db", "title": "Learning Face Age Progression: A Pyramid Architecture of GANs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578109"]}, {"id": "de95fa1dd69a2d0d2b76539357062062f8b1e7b8", "title": "Face to Age", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/de95/fa1dd69a2d0d2b76539357062062f8b1e7b8.pdf"], "doi": []}, {"id": "3b6e90afe6b8dd28b3ac67e4b6c34dc4faa17aa8", "title": "Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-019-01154-8"]}, {"id": "d92084e376a795d3943df577d3b3f3b7d12eeae5", "title": "Face and Image Representation in Deep CNN Features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961806", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.85", "http://doi.org/10.1109/FG.2017.85"]}, {"id": "8e33183a0ed7141aa4fa9d87ef3be334727c76c0", "title": "Robustness of Face Recognition to Image Manipulations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8e33/183a0ed7141aa4fa9d87ef3be334727c76c0.pdf"], "doi": []}, {"id": "6aa201b23b93dc51939e68bcf12e386d3b459f2d", "title": "Monitoring Patients in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961856", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.153", "http://doi.org/10.1109/FG.2017.153"]}, {"id": "f0225fd9e968a022ea6f993c1e44f01716908769", "title": "Learning the Cultural Consistent Facial Aesthetics by Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227351", "http://doi.org/10.1109/Culture.and.Computing.2017.53"]}, {"id": "523574aca71d8981b4122cce8d132f22391ef26e", "title": "MovieGraphs: Towards Understanding Human-Centric Situations from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578993"]}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "fd4537b92ab9fa7c653e9e5b9c4f815914a498c0", "title": "One-Sided Unsupervised Domain Mapping", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00826.pdf"], "doi": []}, {"id": "4edc7f27d4512b69be54abfc6b9876e5b00725ab", "title": "Facial Expression Recognition using Convolutional Neural Networks: State of the Art", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02903.pdf"], "doi": []}, {"id": "be0a0e563445119b82d664d370e646e53e69a4c5", "title": "Age and gender classification from speech and face images by jointly fine-tuned deep neural networks", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.05.037"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "title": "Features and methods for improving large scale face recognition", "year": "2015", "pdf": [], "doi": ["https://ora.ox.ac.uk/objects/uuid:7704244a-b327-4e5c-a58e-7bfe769ed988"]}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "260a57f4d099f3f2a2c2b458e92de15e4e4a47fc", "title": "Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hu_Attribute-Enhanced_Face_Recognition_ICCV_2017_paper.pdf", "https://pure.qub.ac.uk/portal/files/138226397/ICCV2017_Attribute_Enhanced_Face_Recognition_with_Neural_Tensor_Fusion_Networks.pdf", "https://www.research.ed.ac.uk/portal/files/41072997/hu2017neuralTensor.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237666", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.404", "http://doi.org/10.1109/ICCV.2017.404"]}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"id": "174ef76c12e6426056ff2980bf220964030ed48e", "title": "How competitive are you: Analysis of people's attractiveness in an online dating system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019374", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019374", "http://doi.org/10.1109/ICME.2017.8019374"]}, {"id": "49a5d855f91c6ec6d1724a200d33e92c41f73480", "title": "Cascade Adversarial Machine Learning Regularized with a Unified Embedding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02582.pdf"], "doi": []}, {"id": "9a845ce802227a13de16f3e29eebeb3c8817f83b", "title": "Convolutional neural network approach for vision based student recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8281789"]}, {"id": "6187f91f1e53cf6f62afe30e01c7b1ed43505c9e", "title": "Localizing and Orienting Street Views Using Overhead Imagery", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00161.pdf"], "doi": []}, {"id": "a58ba304ca0c37d94c7227feeeffb600a492d902", "title": "Audio-Visual Speech Enhancement Based on Multimodal Deep Convolutional Neural Networks", "year": "", "pdf": [], "doi": []}, {"id": "42a48ce71daa2d05c698d2e9e90335320ddd9841", "title": "General-to-specific learning for facial attribute classification in the wild", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2018.09.003"]}, {"id": "7173871866fc7e555e9123d1d7133d20577054e8", "title": "Simultaneous Adversarial Training - Learn from Others Mistakes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08108.pdf"], "doi": []}, {"id": "71fd29c2ae9cc9e4f959268674b6b563c06d9480", "title": "End-to-end 3D shape inverse rendering of different classes of objects from a single input image", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05858.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "59b6ff409ae6f57525faff4b369af85c37a8dd80", "title": "Deep Attribute Driven Image Similarity Learning Using Limited Data", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241593", "http://doi.ieeecomputersociety.org/10.1109/ISM.2017.28", "http://doi.org/10.1109/ISM.2017.28"]}, {"id": "de06dcbe607f583794ce98f85caed4607a366b35", "title": "UAS Navigation with SqueezePoseNet\u2014Accuracy Boosting for Pose Regression by Data Augmentation", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.3390/drones2010007", "https://publikationen.bibliothek.kit.edu/1000087401/19336945"]}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "3f768179cea3c710dac8e68c0a890c48cfdc8ed1", "title": "Face Template Protection Using Deep Convolutional Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w11/Jindal_Face_Template_Protection_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575550", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00087", "http://doi.org/10.1109/CVPRW.2018.00087"]}, {"id": "7b6f0c4b22aee0cb4987cba9df121d4076fac5a5", "title": "On Learning 3D Face Morphable Model from In-the-wild Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09560.pdf"], "doi": []}, {"id": "954eca6c3daf17a081379d51980beb299c803d3a", "title": "Learning Deep Features for Hierarchical Classification of Mobile Phone Face Datasets in Heterogeneous Environments", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961740", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.139", "http://doi.org/10.1109/FG.2017.139"]}, {"id": "1e472cf9a290e8f59573628dba426cd6d74411f4", "title": "A Large-Scale Software-Generated Face Composite Sketch Database", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7736902", "http://doi.org/10.1109/BIOSIG.2016.7736902", "https://dl.gi.de/20.500.12116/1212"]}, {"id": "e44e8b0e8b041afe4501f199fa8af7610cfd4259", "title": "Reduced Residual Nets (Red-Nets): Low Powered Adversarial Outlier Detectors", "year": "2018", "pdf": ["http://users.cis.fiu.edu/~chens/PDF/IRI18_Saad.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424741", "http://doi.ieeecomputersociety.org/10.1109/IRI.2018.00070", "http://doi.org/10.1109/IRI.2018.00070"]}, {"id": "ba654c84ec5817bd115983fef53c90ca68f880cc", "title": "Generalization in Metric Learning: Should the Embedding Layer Be Embedding Layer?", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658420"]}, {"id": "e6ca412a05002b51d358c2e3061913c3dab6b810", "title": "MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10580.pdf"], "doi": []}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "a9e8c08c69b8752a8afad752ec26a2b3807ede50", "title": "PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08657.pdf"], "doi": []}, {"id": "49df381ea2a1e7f4059346311f1f9f45dd997164", "title": "Client-Specific Anomaly Detection for Face Presentation Attack Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00848.pdf"], "doi": []}, {"id": "5c01d8bffb5cf7a5f871e3c691f8dc7dba6e6da9", "title": "Survey of biometric pattern recognition via machine learning techniques", "year": "2018", "pdf": ["http://www.m-hikari.com/ces/ces2018/ces33-36-2018/p/hernandezCES33-36-2018-2.pdf"], "doi": ["https://doi.org/10.12988/ces.2018.84166"]}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "0b07e4341303272b26be11262feb66c0a4412c43", "title": "Deep Learned Cumulative Attribute Regression", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373906", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00113", "http://doi.org/10.1109/FG.2018.00113"]}, {"id": "fd0a1a2ecf69a6c1a6efcb18b8f23e4d5402f601", "title": "ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02095.pdf"], "doi": []}, {"id": "d118454b38f3f0d4dd48d7775ea3683708b33325", "title": "Person Identification from Drones by Humans: Insights from Cognitive Psychology", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d118/454b38f3f0d4dd48d7775ea3683708b33325.pdf"], "doi": []}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "1280b35e4a20036fcfd82ee09f45a3fca190276f", "title": "Face Verification Based on Feature Transfer via PCA-SVM Framework", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276888", "http://doi.ieeecomputersociety.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166", "http://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166"]}, {"id": "df7af280771a6c8302b75ed0a14ffe7854cca679", "title": "Prediction of users' facial attractiveness on an online dating website", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026293", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026293", "http://doi.org/10.1109/ICMEW.2017.8026293"]}, {"id": "b3e5cc26fb8ae57b5e9e6dc161d5ea3c67bcdeab", "title": "Exploiting Data Redundancy for Error Detection in Degraded Biometric Signatures Resulting From in the Wild Environments", "year": "2017", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/FG2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961852", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.122", "http://doi.org/10.1109/FG.2017.122"]}, {"id": "a8ff837f67f9fe9e6f562f5de56784b93b4f9dfe", "title": "XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05139.pdf"], "doi": []}, {"id": "db326e6b49121e7f80c802fd2e5b80a482c955df", "title": "What You Can't See Can Help You - Extended-Range Imaging for 3D-Mask Presentation Attack Detection", "year": "2017", "pdf": ["http://publications.idiap.ch/downloads/papers/2017/Bhattacharjee_BIOSIG2017_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8053524", "https://dl.gi.de/20.500.12116/4645"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "30885b71532eaed5827b5de5cb60d9b85bce7a08", "title": "A Multi-View Learning Approach to Deception Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373888"]}, {"id": "9857eeded6b7608ff862174742b38946102f5008", "title": "Interpretable Facial Relational Network Using Relational Importance", "year": "2017", "pdf": [], "doi": []}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "fd4b5766a8ace0d89676deb26a098949a96089a3", "title": "Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12167.pdf"], "doi": []}, {"id": "98b2f21db344b8b9f7747feaf86f92558595990c", "title": "PACES OF G ENERATIVE A DVERSARIAL N ETWORKS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf"], "doi": []}, {"id": "95df57cf3e15d75a8526b4fd3212d39538d31100", "title": "Towards Pose Invariant Face Recognition in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578333"]}, {"id": "d07483e2c1f89b490ae03507fd39bd3c0883f2d9", "title": "Adversarial-Playground: A Visualization Suite for Adversarial Sample Generation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01763.pdf"], "doi": []}, {"id": "4589d6bbb3186fc001ea2a42ae1ea2718edba915", "title": "Recursive Cross-Domain Face/Sketch Generation from Limited Facial Parts", "year": "2017", "pdf": [], "doi": []}, {"id": "29c1f733a80c1e07acfdd228b7bcfb136c1dff98", "title": "Discriminatively Trained Latent Ordinal Model for Video Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.02318.pdf"], "doi": []}, {"id": "00c05adcd5157edba775782464402c2bfb998c82", "title": "Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b5fd/440edd27702c8dbfa38fac0bf23deacf33cb.pdf"], "doi": []}, {"id": "cfa205874bd192ab949132631a7eda995ecc57af", "title": "Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07457.pdf"], "doi": []}, {"id": "b632d47eb7421a3d622b0f1ceb009e4415ccc84d", "title": "Deep Perceptual Mapping for Cross-Modal Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.05347.pdf"], "doi": []}, {"id": "cd6e32b00a53310f90a7138a41b855bf44129637", "title": "Persons-In-Places: a Deep Features Based Approach for Searching a Specific Person in a Specific Location", "year": "2017", "pdf": [], "doi": ["http://www.informatica.si/index.php/informatica/article/view/1664", "http://www.informatica.si/index.php/informatica/article/download/1664/1031"]}, {"id": "6e7d799497b94954dc4232d840628c3a00263e42", "title": "Aalborg Universitet Deep Multimodal Pain Recognition : A Database and Comparison of Spatio-Temporal Visual", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6e7d/799497b94954dc4232d840628c3a00263e42.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": "b4c80df27276660522f8901aa90c129c15611821", "title": "On Detecting Domestic Abuse via Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575463"]}, {"id": "e2468c58e3178dd3a5dbbc1888a9d122c2727b76", "title": "Learning Face Deblurring Fast and Wide", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575269"]}, {"id": "ff60d4601adabe04214c67e12253ea3359f4e082", "title": "Video-based emotion recognition in the wild using deep transfer learning and score fusion", "year": "2017", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/imavis_emotiw15_v10.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.01.012"]}, {"id": "2133475ba633c732292ccf405f07a0baea9d01b3", "title": "Demographic-Assisted Age-Invariant Face Recognition and Retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.3390/sym10050148"]}, {"id": "01350214f850f43d72268df4f98b05901fbbe06c", "title": "1 Deep convolutional neural networks for detection of 2 polar mesocyclones from satellite mosaics 3", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0135/0214f850f43d72268df4f98b05901fbbe06c.pdf"], "doi": []}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961736", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.28", "http://doi.org/10.1109/FG.2017.28"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "116808d63af1cdfa30b9cb9abfa6883f932cc44f", "title": "Feature fusion with covariance matrix regularization in face recognition", "year": "2018", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/44512/Feature%20Fusion%20with%20Covariance%20Matrix%20Regularization%20in.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.1016/j.sigpro.2017.10.024"]}, {"id": "de390a143720e697bc71c3727633b155bf25a2c1", "title": "High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/de39/0a143720e697bc71c3727633b155bf25a2c1.pdf"], "doi": []}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "1e21b925b65303ef0299af65e018ec1e1b9b8d60", "title": "Unsupervised Cross-Domain Image Generation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.02200.pdf"], "doi": []}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "4fb11a58d5a3ffc0bb6d4ade334a366b4a431b02", "title": "The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00074.pdf"], "doi": []}, {"id": "a23e7e71fb92a56c2e7717f6356e8b69fc2f4bfc", "title": "Multimodal fusion of audio, scene, and face features for first impression estimation", "year": "2016", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/gurpinar16icpr_author_proof.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899605", "http://doi.org/10.1109/ICPR.2016.7899605"]}, {"id": "cf6c59d359466c41643017d2c212125aa0ee84b2", "title": "Weakly-supervised deep self-learning for face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552983", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552983", "http://doi.org/10.1109/ICME.2016.7552983"]}, {"id": "16371cf22f9de60dd1edd7178669e5ba69143686", "title": "Exploring LOTS in Deep Neural Networks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2624/08f84d6c5c25cff15bec24a5a874e6a944d0.pdf"], "doi": []}, {"id": "2d2127532fbad4d5558ead3e5617e3d3004dd5cf", "title": "DeepFakes: a New Threat to Face Recognition? Assessment and Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08685.pdf"], "doi": []}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "d278e020be85a1ccd90aa366b70c43884dd3f798", "title": "Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11191.pdf"], "doi": []}, {"id": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"], "doi": []}, {"id": "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579001"]}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "d06bcb2d46342ee011e652990edf290a0876b502", "title": "Photo-realistic Face Images Synthesis for Learning-based Fine-scale 3D Face Reconstruction", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1708.00980"]}, {"id": "8c7f4c11b0c9e8edf62a0f5e6cf0dd9d2da431fa", "title": "Dataset Augmentation for Pose and Lighting Invariant Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04326.pdf"], "doi": []}, {"id": "437642cfc8c34e445ea653929e2d183aaaeeb704", "title": "Component Biologically Inspired Features with Moving Segmentation for Age Estimation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Hsu_Component_Biologically_Inspired_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/Component_Biologically_Inspired_Features_with_Moving_Segmentation_for_Age_Estimation_rev.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014815", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.81", "http://doi.org/10.1109/CVPRW.2017.81"]}, {"id": "c9ab493f7ab58e7923dfad04c48b860cfc5aaf30", "title": "Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7997822"]}, {"id": "42cc9ea3da1277b1f19dff3d8007c6cbc0bb9830", "title": "Coordinated Local Metric Learning", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Saxena_Coordinated_Local_Metric_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406405", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.56", "http://doi.org/10.1109/ICCVW.2015.56"]}, {"id": "b28d061c0e26b4580f603c1fd919ce0c7a84c731", "title": "Face value of companies : deep learning for nonverbal communication", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b28d/061c0e26b4580f603c1fd919ce0c7a84c731.pdf"], "doi": []}, {"id": "6e3660e8efb976c916e61fe17ea90aea7d13aac4", "title": "BIER \u2014 Boosting Independent Embeddings Robustly", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Opitz_BIER_-_Boosting_ICCV_2017_paper.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/opitz_iccv17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237817", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.555", "http://doi.org/10.1109/ICCV.2017.555"]}, {"id": "195bec771d31eff04c8b0324878d2338ab594527", "title": "On Effectiveness of Anomaly Detection Approaches against Unseen Presentation Attacks in Face Anti-spoofing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411206"]}, {"id": "aeff403079022683b233decda556a6aee3225065", "title": "DeepFace: Face Generation using Deep Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01876.pdf"], "doi": []}, {"id": "31aa20911cc7a2b556e7d273f0bdd5a2f0671e0a", "title": "Patch-based Face Recognition using a Hierarchical Multi-label Matcher", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01417.pdf"], "doi": []}, {"id": "726b8aba2095eef076922351e9d3a724bb71cb51", "title": "DFaceNet : Real-time Dense Face Reconstruction via Synthesizing Photo-realistic Face Images", "year": "2017", "pdf": [], "doi": []}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "60f7de07de4d090990120483bd5407369b29a120", "title": "\u2113\u2081-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/60f7/de07de4d090990120483bd5407369b29a120.pdf"], "doi": []}, {"id": "6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365", "title": "Privacy-Preserving Deep Inference for Rich User Data on The Cloud", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01727.pdf"], "doi": []}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "17ad76ef00d4cb584389682ca6b138a8bdc9a2da", "title": "Continuous Multimodal Emotion Recognition Approach for AVEC 2017", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05861.pdf"], "doi": []}, {"id": "f5ab93e4ec9d0c80ae6c1378e865df2411f19752", "title": "Dict Layer: A Structured Dictionary Layer", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w11/Chen_Dict_Layer_A_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575546", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00083", "http://doi.org/10.1109/CVPRW.2018.00083"]}, {"id": "c1c8ea4b2118095bea55cf6b51c36dbf95cc7f2c", "title": "Learning 3D Segment Descriptors for Place Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09270.pdf"], "doi": []}, {"id": "b8a5839f6b1e051f430f2b89d5a1a7e49a10655a", "title": "DCFNet: Deep Neural Network with Decomposed Convolutional Filters", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04145.pdf"], "doi": []}, {"id": "3f6da4965b214ea947dd3b6cd33b41ece89e7e79", "title": "Context-Aware Fusion for Continuous Biometric Authentication", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411227", "http://doi.org/10.1109/ICB2018.2018.00043"]}, {"id": "66436e96aafa7abd3b0700e8409dbb360775a9b8", "title": "Considering Race a Problem of Transfer Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638327"]}, {"id": "9aa36a46d63693c136cb8ca673128f2a2d4e08d5", "title": "[Regular Paper] KnowPain: Automated System for Detecting Pain in Neonates from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567471"]}, {"id": "8f89aed13cb3555b56fccd715753f9ea72f27f05", "title": "Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08690.pdf"], "doi": []}, {"id": "a9ae55c83a8047c6cdf7c958fd3d4a6bfb0a13df", "title": "AcFR: Active Face Recognition Using Convolutional Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w1/papers/Nakada_AcFR_Active_Face_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014745", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.11", "http://doi.org/10.1109/CVPRW.2017.11"]}, {"id": "7f6cd03e3b7b63fca7170e317b3bb072ec9889e0", "title": "A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09359.pdf"], "doi": []}, {"id": "64d9c5ab4cab193046ac839b74d182a472fe45ba", "title": "NosePose : a competitive , landmark-free methodology for head pose estimation in the wild", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/64d9/c5ab4cab193046ac839b74d182a472fe45ba.pdf"], "doi": []}, {"id": "bcd6e682c11eaf493017cb734e95d606e49648cb", "title": "BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099762"]}, {"id": "5f09018d330f8d62b9abd83d44f1097d945508e4", "title": "Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03268.pdf"], "doi": []}, {"id": "5d80149e005894ab57f47e667f3e060e247d8e43", "title": "Lip reading using CNN and LSTM", "year": "2016", "pdf": [], "doi": []}, {"id": "71edcfe5e3a4e1678698a0659a7e51555291d242", "title": "Who's that Actor? Automatic Labelling of Actors in TV Series Starting from IMDB Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.09162.pdf"], "doi": []}, {"id": "1999248e52154aa8e2aa4c1e60899e26794eb1f9", "title": "A two-stage learning approach to face recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2016.12.006"]}, {"id": "9e86e9853c261f2e4affe61674ca26a537ba65de", "title": "Transfer Learning for Face Identification with Deep Face Model", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7979872", "http://doi.org/10.1109/CCBD.2016.014"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "a455cbde9dafdb099d83464c7f4729d8f17208ed", "title": "ODESSA/PLUMCOT at Albayzin multimodal diarization challenge 2018", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a455/cbde9dafdb099d83464c7f4729d8f17208ed.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": "5121f42de7cb9e41f93646e087df82b573b23311", "title": "Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04347.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "f4ac6d29b6f544370d53aaff88c007c14a1fddfb", "title": "Changes in Facial Expression as Biometric: A Database and Benchmarks of Identification", "year": "2018", "pdf": ["http://sergioescalera.com/wp-content/uploads/2018/05/FG2018_Expression-Change-Biometrics.pdf", "http://vbn.aau.dk/files/279731010/FG2018_Expression_Biometric_CameraReady.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373891", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00098", "http://doi.org/10.1109/FG.2018.00098"]}, {"id": "59efb1ac77c59abc8613830787d767100387c680", "title": "DIF : Dataset of Intoxicated Faces for Drunk Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10030.pdf"], "doi": []}, {"id": "3a3c47b6da1ea1b8d57ce41d9ddb54a774e1914d", "title": "High-Level Prediction Signals in a Low-Level Area of the Macaque Face-Processing Hierarchy", "year": "2017", "pdf": ["http://www.cnbc.cmu.edu/braingroup/papers/Schiedrzik_Freiwald_2017.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0896627317308425", "http://doi.org/10.1016/j.neuron.2017.09.007", "https://www.ncbi.nlm.nih.gov/pubmed/28957679"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576", "title": "Neural Face Editing with Intrinsic Image Disentangling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04131.pdf"], "doi": []}, {"id": "65783e66cb6d9c057edf7b37f6d0be24a78d3013", "title": "Recognition of Affect in the Wild Using Deep Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Kollias_Recognition_of_Affect_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/cvpr_workshop_paper_camera_ready_(2).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014981", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.247", "http://doi.org/10.1109/CVPRW.2017.247"]}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"], "doi": []}, {"id": "dbe101c7c4b5ea5986be38e4d6de70bfc4324683", "title": "1 Deep convolutional neural networks capabilities for 2 binary classification of polar mesocyclones in 3 satellite mosaics 4", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cd86/ad9c21ceff734446d26a08d89c893174dfb3.pdf"], "doi": []}, {"id": "4e4a4359c7dd25af7e2ef0910928cd9faa5d0cfb", "title": "End-to-End 3D Face Reconstruction with Deep Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05020.pdf"], "doi": []}, {"id": "d94c7a89adf6f568bbe1510910850d5083a58b4f", "title": "Deep Cross Modal Learning for Caricature Verification and Identification (CaVINet)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11688.pdf"], "doi": []}, {"id": "08307351e8f2a40d7ff9bbee8deaa54dc1bad055", "title": "Face Recognition Based on CSGF(2D)2PCANet", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8435907", "http://doi.org/10.1109/ACCESS.2018.2865425"]}, {"id": "021e008282714eaefc0796303f521c9e4f199d7e", "title": "NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354319", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00215", "http://doi.org/10.1109/WACV.2018.00215"]}, {"id": "415c16201f65e92b089918340494ba2a798bdec5", "title": "Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03156.pdf"], "doi": []}, {"id": "e8e662e45e39249756d2b0090782434a5cf1f4aa", "title": "VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hou_VegFru_A_Domain-Specific_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Hou_VegFru_A_Domain-Specific_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237328", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.66", "http://doi.org/10.1109/ICCV.2017.66"]}, {"id": "7334ebde5892b618c24dbac47027f61cf0473fde", "title": "DeepStar: Detecting Starring Characters in Movies", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8604143"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "c1d11b94c8fecaed79f97966d4bfa8381d32ad16", "title": "Deep Domain Adaptation for Face Recognition using images captured from surveillance cameras", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553278", "http://doi.org/10.23919/BIOSIG.2018.8553278"]}, {"id": "b8d9966941bc1e7a225d6f338fb3c1bd04bb2910", "title": "Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10938.pdf"], "doi": []}, {"id": "204b2b9c33d2c3be77dbd6d82dfefd1dfa95d8a3", "title": "Deep Face Recognition under Eyeglass and Scale Variation Using Extended Siamese Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575869", "http://doi.org/10.1109/ACPR.2017.48"]}, {"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": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "b12431e61172443c534ea523a4d7407e847b5c5b", "title": "Yu\u0308z Tan\u0131maya Dayal\u0131 Kis\u0327i Bazl\u0131 Test Otomasyonu", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b124/31e61172443c534ea523a4d7407e847b5c5b.pdf"], "doi": []}, {"id": "218603147709344d4ff66625d83603deee2854bf", "title": "Learning Deep Embeddings with Histogram Loss", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00822.pdf"], "doi": []}, {"id": "6ebc601bba067af64b57d59039319650168df4c9", "title": "CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.00980.pdf"], "doi": []}, {"id": "92527ace7f75188b5ec209ff7d59f431343075e4", "title": "Video-based emotion recognition using CNN-RNN and C3D hybrid networks", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997632"]}, {"id": "25d75339720787e7003f2f103cf38cee8175972a", "title": "Optimistic and Pessimistic Neural Networks for Scene and Object Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07982.pdf"], "doi": []}, {"id": "fea83550a21f4b41057b031ac338170bacda8805", "title": "Learning a Metric Embedding for Face Recognition using the Multibatch Method", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.07270.pdf"], "doi": []}, {"id": "110359824a0e3b6480102b108372793265a24a86", "title": "Landmark perturbation-based data augmentation for unconstrained face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.03.011"]}, {"id": "0418cdad1a10b58cf1a526b5a65a465f9324d67f", "title": "Facial Micro-Expressions Grand Challenge 2018 Summary", "year": "2018", "pdf": ["http://pesona.mmu.edu.my/~johnsee/research/papers/files/summary-megc-fg18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373899", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00106", "http://doi.org/10.1109/FG.2018.00106"]}, {"id": "93ae0e1704b20b89149e3eabce39c7428063e963", "title": "Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578368"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "c18bf07d5161d6ca7afb6eb5a4f385b6bd2fc381", "title": "Leveraging Large Face Recognition Data for Emotion Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373902", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00109", "http://doi.org/10.1109/FG.2018.00109"]}, {"id": "f36303b994e571d45bea1961edf46a072f4b2ffe", "title": "Convolutional Neural Networks for Iris Presentation Attack Detection: Toward Cross-Dataset and Cross-Sensor Generalization", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575375"]}, {"id": "fddc99348ba397c0f1a16f4ee44754fb7a411b76", "title": "Automatic Detection of Optic Disc in Retina Image Using CNN and CRF", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560299"]}, {"id": "1b55c4e804d1298cbbb9c507497177014a923d22", "title": "Incremental Class Representation Learning for Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1b55/c4e804d1298cbbb9c507497177014a923d22.pdf"], "doi": []}, {"id": "a75de488eaacb1dafffbe667465390f101498aaf", "title": "Rule-Based Facial Makeup Recommendation System", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961759", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.47", "http://doi.org/10.1109/FG.2017.47"]}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "title": "Using deep learning for social analysis in egocentric images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b13a/b3647352c3af2ba656f93b69bb5ae9a69fe5.pdf"], "doi": []}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373908", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00115", "http://doi.org/10.1109/FG.2018.00115"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "da5932a4f3af37030f0460496d4e0b6f93294bfd", "title": "Learning Geometric Equivalence between Patterns Using Embedding Neural Networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227457", "http://doi.org/10.1109/DICTA.2017.8227457"]}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "pdf": [], "doi": []}, {"id": "f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6", "title": "Rapid Object Detection Systems , Utilising Deep Learning and Unmanned Aerial Systems ( Uas ) for Civil Engineering Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f81f/5da2a1e4eb80b465b8dffca4c9e583a8a8a6.pdf"], "doi": []}, {"id": "f7242b7a146f62189f27a71ff56a26e17b26a363", "title": "SegMap: 3D Segment Mapping using Data-Driven Descriptors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09557.pdf"], "doi": []}, {"id": "f276d79e428183b457875dcccf2442c7832093bb", "title": "Deep Hierarchical Network With Line Segment Learning for Quantitative Analysis of Facial Palsy", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8558494", "http://doi.org/10.1109/ACCESS.2018.2884969"]}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "d3b9ef82c999f16641c7dd41efe6695bf44d34f0", "title": "Multimodal emotion recognition based human-robot interaction enhancement", "year": "2018", "pdf": [], "doi": []}, {"id": "3d62b2f9cef997fc37099305dabff356d39ed477", "title": "Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02734.pdf"], "doi": []}, {"id": "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "title": "Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575544"]}, {"id": "0c2a9a6bee6dfa5240a79c9dc306c2354d3806e1", "title": "On Matching Faces with Alterations due to Plastic Surgery and Disguise", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07318.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": "70e41be079ff20d213a37e09b9a82bfd2beb2191", "title": "Deep Convolutional Neural Networks Capabilities for Binary Classification of Polar Mesocyclones in Satellite Mosaics", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70e4/1be079ff20d213a37e09b9a82bfd2beb2191.pdf"], "doi": []}, {"id": "e260847323b48a79bd88dd95a1499cd3053d3645", "title": "Reconstructing perceived faces from brain activations with deep adversarial neural decoding", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/937b/78204a7ac4aac6a8782f29c68322621dc1c2.pdf"], "doi": []}, {"id": "bc93a5d09aad16356808843338bdd34df6b5b01b", "title": "DEEP-SEE FACE: A Mobile Face Recognition System Dedicated to Visually Impaired People", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8466782", "http://doi.org/10.1109/ACCESS.2018.2870334"]}, {"id": "68484ae8a042904a95a8d284a7f85a4e28e37513", "title": "Spoofing Deep Face Recognition with Custom Silicone Masks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6848/4ae8a042904a95a8d284a7f85a4e28e37513.pdf"], "doi": []}, {"id": "d9ca4c9b35b5a3eac4229e5e767caff339ab1641", "title": "Recovering Faces From Portraits with Auxiliary Facial Attributes", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8659142"]}, {"id": "fa72f77519d4e48d9dbb1f47eafdbc9bc4c824bd", "title": "Visual Transformation Aided Contrastive Learning for Video-Based Kinship Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Dibeklioglu_Visual_Transformation_Aided_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237531", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.269", "http://doi.org/10.1109/ICCV.2017.269"]}, {"id": "806589080e7a5e48ee4b8883fc819b521f749128", "title": "On the Learning of Deep Local Features for Robust Face Spoofing Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614337"]}, {"id": "03b31cbb8e64dc9402b76287f06f15840acff3f1", "title": "Privacy-Protective-GAN for Privacy Preserving Face De-Identification", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11390-019-1898-8"]}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "dd16038195c0f3ce6b1f3afc6a0482a12bb9ab6d", "title": "A Study on the Suppression of Amusement", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373850", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00057", "http://doi.org/10.1109/FG.2018.00057"]}, {"id": "0a91c7e4037912b9614eaf738aa732be7bc22ec1", "title": "Sparse, Smart Contours to Represent and Edit Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578468"]}, {"id": "a9286519e12675302b1d7d2fe0ca3cc4dc7d17f6", "title": "Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.08197.pdf"], "doi": []}, {"id": "f33bd953d2df0a5305fc8a93a37ff754459a906c", "title": "Deformable Models of Ears in-the-Wild for Alignment and Recognition", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2017earrecognitioninthewild.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961800", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.79", "http://doi.org/10.1109/FG.2017.79"]}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "badde061da20510ca74b94818eb726d27ff2f491", "title": "Improving speech embedding using crossmodal transfer learning with audio-visual data", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6992-3"]}, {"id": "fab60b3db164327be8588bce6ce5e45d5b882db6", "title": "Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fab6/0b3db164327be8588bce6ce5e45d5b882db6.pdf"], "doi": []}, {"id": "e908ce44fa94bb7ecf2a8b70cb5ec0b1a00b311a", "title": "Topology preserving graph matching for partial face recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019548", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019548", "http://doi.org/10.1109/ICME.2017.8019548"]}, {"id": "53de11d144cd2eda7cf1bb644ae27f8ef2489289", "title": "Extending Detection with Privileged Information via Generalized Distillation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424637", "http://doi.org/10.1109/SPW.2018.00021"]}, {"id": "3fe269cbe3a15aca4663d7086e0622ec5eb93c2d", "title": "Neural Information Processing", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-030-04167-0"]}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "33e539cc9bab90ad9165f8482c1329d8870e9bb3", "title": "Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/33e5/39cc9bab90ad9165f8482c1329d8870e9bb3.pdf"], "doi": []}, {"id": "7b0b0e556a91057ce38a731de247e6a98ee65a2d", "title": "A Deep Learning Models for Blind Guidance by Integrating CNN and ELM", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622945", "http://doi.org/10.1109/HPCC%2FSmartCity%2FDSS.2018.00207", "https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00207"]}, {"id": "f2743ae62496a49d69a049141fcddcb3d1fffba4", "title": "Deep learning to predict the lab-of-origin of engineered DNA", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1038/s41467-018-05378-z", "https://www.ncbi.nlm.nih.gov/pubmed/30087331"]}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "bb33376961f6663df848ae9bf055c9afd9182443", "title": "Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01151.pdf"], "doi": []}, {"id": "7da069849066a55d219b9e5b043fb4e07dee2652", "title": "Image-based Family Verification in the wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7da0/69849066a55d219b9e5b043fb4e07dee2652.pdf"], "doi": []}, {"id": "973022a1f9e30a624f5e8f7158b5bbb114f4af32", "title": "Searching a specific person in a specific location using deep features", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011138"]}, {"id": "91dec705d119cb3cc40da18f51aafac3c5c191ce", "title": "Person Recognition beyond the Visible Spectrum: Combining Body Shape and Texture from mmW Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411228", "http://doi.org/10.1109/ICB2018.2018.00044"]}, {"id": "065756857d5180a40b493e88f4eb3b24d30a1713", "title": "License plate detection and recognition using hierarchical feature layers from CNN", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6889-1"]}, {"id": "098363b29eef1471c494382338687f2fe98f6e15", "title": "Metadata-Based Feature Aggregation Network for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411212", "http://doi.org/10.1109/ICB2018.2018.00028", "https://doi.org/10.1109/ICB2018.2018.00028"]}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "0bbde476713458acbdbe86157bc5067b36cad2ad", "title": "Automated Pain Detection from Facial Expressions using FACS: A Review", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07988.pdf"], "doi": []}, {"id": "33cbaae593b6fc0d4cafdd41cec11e00956e251f", "title": "Predicting eye movement patterns from fMRI responses to natural scenes", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1038/s41467-018-07471-9", "https://www.ncbi.nlm.nih.gov/pubmed/30514836"]}, {"id": "4c81c76f799c48c33bb63b9369d013f51eaf5ada", "title": "Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w26/papers/Kaya_Multi-Modal_Score_Fusion_CVPR_2017_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/kaya17chalearn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014944", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.210", "http://doi.org/10.1109/CVPRW.2017.210"]}, {"id": "a84bc1216f508ecdd8bb310e21d5f9bd15dc66d5", "title": "Adversarial image detection in deep neural networks", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-5853-4"]}, {"id": "f36647e63a11486ef9cf7a5a1c86a40fda5d408a", "title": "CS 229 Final Report : Artistic Style Transfer for Face Portraits", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f366/47e63a11486ef9cf7a5a1c86a40fda5d408a.pdf"], "doi": []}, {"id": "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "title": "Are facial attributes adversarially robust?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05411.pdf"], "doi": []}, {"id": "da8d0855e7760e86fbec47a3cfcf5acd8c700ca8", "title": "F 2 ConText : How to Extract Holistic Contexts of Persons of Interest for Enhancing Exploratory Analysis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/da8d/0855e7760e86fbec47a3cfcf5acd8c700ca8.pdf"], "doi": []}, {"id": "3a78f0c4b07ff756aec20a2f17ef0f25470c3cd6", "title": "Video Summarization via Multi-view Representative Selection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w18/Meng_Video_Summarization_via_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265353", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.144", "http://doi.org/10.1109/ICCVW.2017.144"]}, {"id": "3fd203807fab28243f84d2360572796869ccde90", "title": "Deep Video Code for Efficient Face Video Retrieval", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfe5/c97de89bbb775c7e44e02d5612f4dae7f95f.pdf"], "doi": []}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "fd37603fe9808f32d53fd417b20ab0a47dbb2d9b", "title": "Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411207"]}, {"id": "b2ae5c496fe01bb2e2dee107f75b82c6a2a23374", "title": "Attention-Based Template Adaptation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961846", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.116", "http://doi.org/10.1109/FG.2017.116"]}, {"id": "6789bddbabf234f31df992a3356b36a47451efc7", "title": "Unsupervised Generation of Free-Form and Parameterized Avatars.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6789/bddbabf234f31df992a3356b36a47451efc7.pdf"], "doi": []}, {"id": "a3f69a073dcfb6da8038607a9f14eb28b5dab2db", "title": "3D-Aided Deep Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a3f6/9a073dcfb6da8038607a9f14eb28b5dab2db.pdf"], "doi": []}, {"id": "b5ca8d4f259f35c1f3edfd9f108ce29881e478b0", "title": "Disentangled Representation Learning GAN for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Tran_Yin_Liu_CVPR2017.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Tran_Disentangled_Representation_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.141", "http://doi.org/10.1109/CVPR.2017.141"]}, {"id": "07d3dddb363870cfd980ca8d748c8b1418aad863", "title": "Learning from Differentially Private Neural Activations with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567659", "http://doi.ieeecomputersociety.org/10.1109/SEC.2018.00014", "http://doi.org/10.1109/SEC.2018.00014"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "a8117a4733cce9148c35fb6888962f665ae65b1e", "title": "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00438.pdf"], "doi": []}, {"id": "b5ba0c50cfe2559f4197bb35cf50441118b768c8", "title": "audEERING's approach to the One-Minute-Gradual Emotion Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01222.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "e065a2cb4534492ccf46d0afc81b9ad8b420c5ec", "title": "SFace: An Efficient Network for Face Detection in Large Scale Variations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06559.pdf"], "doi": []}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "9b666e20f570387214926eee542965f3fbe3cfce", "title": "Side Information for Face Completion: a Robust PCA Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07580.pdf"], "doi": []}, {"id": "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "title": "Representation Learning by Rotating Your Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11136.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "3faebe9d5c47fc90998811c4ac768706283d605c", "title": "Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/12a7/14d01dfef0dae2a113f0da3df223d6a5289c.pdf"], "doi": []}, {"id": "352a620f0b96a7e76b9195a7038d5eec257fd994", "title": "Kinship Classification through Latent Adaptive Subspace", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373823", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00030", "http://doi.org/10.1109/FG.2018.00030"]}, {"id": "ea2d43aa2490331cd1406e1432ce706c53139323", "title": "Tracked Instance Search", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00479.pdf"], "doi": []}, {"id": "c877dfb0c636852f243e53dac4445681e1985a35", "title": "Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09487.pdf"], "doi": []}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961796", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.75", "http://doi.org/10.1109/FG.2017.75"]}, {"id": "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "title": "Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02412.pdf"], "doi": []}, {"id": "2a50dfe8d2157e1f75f587601fad8f3d81bbf10c", "title": "Illumination and pose variable face recognition via adaptively weighted ULBP_MHOG and WSRC", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2017.07.008"]}, {"id": "30861d747c87e2e838c1c30eed334b17cc93cdb6", "title": "Bootstrapping Face Detection with Hard Negative Examples", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02236.pdf"], "doi": []}, {"id": "62e8010e2ac1523d3a3e7e1c13cb34e63e85ce04", "title": "Transfer Learning for Action Unit Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07556.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "4e32fbb58154e878dd2fd4b06398f85636fd0cf4", "title": "A Hierarchical Matcher using Local Classifier Chains", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02339.pdf"], "doi": []}, {"id": "894f1e924dfb8dfb843c42835fa79e386ac07383", "title": "Dimensional emotion recognition using visual and textual cues", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01416.pdf"], "doi": []}, {"id": "18d19cf4d09ac340428d091b24af561a3d5de3ea", "title": "Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08501.pdf"], "doi": []}, {"id": "a6e51e37b8fcc679d331753441ca531fcedbf002", "title": "Multimodal Visual Concept Learning with Weakly Supervised Techniques", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578614"]}, {"id": "d69b8121771f211cd4f0d9bc960954643731ca4b", "title": "OLE: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578944"]}, {"id": "3de3c479164312ab3a1795ee84f20c16632c04c4", "title": "Scalable Deep Learning Logo Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11417.pdf"], "doi": []}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "03e60b7ea55f3bd30ccd50394723c63ce9b8d14c", "title": "The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614341"]}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "3cc5f82147bd203e6d0a2cf9d2b2ac0ce31e58d6", "title": "Automated face recognition of rhesus macaques", "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027017302637", "http://doi.org/10.1016/j.jneumeth.2017.07.020", "https://www.ncbi.nlm.nih.gov/pubmed/28739161"]}, {"id": "f4d25431e4022e60c465b3f93abd0dbb08864453", "title": "Learning Structure and Strength of CNN Filters for Small Sample Size Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579072"]}]}
\ No newline at end of file +{"id": "162ea969d1929ed180cc6de9f0bf116993ff6e06", "citations": [{"id": "6aef8eeff5f532dcdad95043ba464720be664ab8", "title": "Computer vision for assistive technologies", "year": "2017", "pdf": ["http://cvrr.ucsd.edu/publications/2016/ComputerVisionforAssistiveTech-cviu2016.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.001"]}, {"id": "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "title": "Comparator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11440.pdf"], "doi": []}, {"id": "ac12ba5bf81de83991210b4cd95b4ad048317681", "title": "Combining Deep Facial and Ambient Features for First Impression Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac12/ba5bf81de83991210b4cd95b4ad048317681.pdf"], "doi": []}, {"id": "4f53f80cc0d11beb3a086b98ba8ebaed6ec688de", "title": "Task Specific Networks for Identity and Face Variation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373840", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00047", "http://doi.org/10.1109/FG.2018.00047"]}, {"id": "c6fdbdbbbc7642daae22df0b7812e78d0647afb3", "title": "Unsupervised feature learning with C-SVDDNet", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.7259.pdf"], "doi": []}, {"id": "70ec156f7e6de0275c7e4e95e35f1bc1e92e29b3", "title": "Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.04662.pdf"], "doi": []}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "271fbc4c09b3f2eb9f56dc2bbac89262b3bc083d", "title": "Domain Adaptation with Soft-margin multiple feature-kernel learning beats Deep Learning for surveillance face recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01374.pdf"], "doi": []}, {"id": "0cfca73806f443188632266513bac6aaf6923fa8", "title": "Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04756.pdf"], "doi": []}, {"id": "98ba5933d7fe9fec0f3b39d7072662007ca6a57e", "title": "ExprGAN: Facial Expression Editing With Controllable Expression Intensity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03842.pdf"], "doi": []}, {"id": "203fcd66c043e44fefd783b8f54105f0a577fc25", "title": "Analyzing Content and Customer Engagement in Social Media with Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/203f/cd66c043e44fefd783b8f54105f0a577fc25.pdf"], "doi": []}, {"id": "5c35ac04260e281141b3aaa7bbb147032c887f0c", "title": "Face Detection and Tracking Control with Omni Car", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c35/ac04260e281141b3aaa7bbb147032c887f0c.pdf"], "doi": []}, {"id": "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "title": "Frankenstein: Learning Deep Face Representations Using Small Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06470.pdf"], "doi": []}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "99ced8f36d66dce20d121f3a29f52d8b27a1da6c", "title": "Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05675.pdf"], "doi": []}, {"id": "0ebc58bb5d517db0111f3565c4eb378d93dad908", "title": "Seeing Through Noise: Speaker Separation and Enhancement using Visually-derived Speech", "year": "2017", "pdf": [], "doi": []}, {"id": "b6259115b819424de53bb92f64cc459dcb649f31", "title": "Learning Feature Representation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078466", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078466", "http://doi.org/10.1109/AVSS.2017.8078466"]}, {"id": "19075e854e29edce89a1cb39167eb1af06b86fe5", "title": "GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Duan_GraphBit_Bitwise_Interaction_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578961", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00863", "http://doi.org/10.1109/CVPR.2018.00863"]}, {"id": "dd888fd4f6d04623a34fc2286ff1e26280c2f0f0", "title": "Evaluating a Convolutional Neural Network on Short-Wave Infra-Red Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8347108", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2018.00008", "http://doi.org/10.1109/WACVW.2018.00008"]}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "c69916375fec3c3ebba3aafb31c99a2beb0151c4", "title": "Face recognition in video surveillance from a single reference sample through domain adaptation", "year": "2017", "pdf": [], "doi": []}, {"id": "2b507f659b341ed0f23106446de8e4322f4a3f7e", "title": "Deep Identity-aware Transfer of Facial Attributes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05586.pdf"], "doi": []}, {"id": "13831e47759e11f8cc6c77fa64ad34272b409b34", "title": "Compressing deep neural networks for efficient visual inference", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019465", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019465", "http://doi.org/10.1109/ICME.2017.8019465"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.pdf"], "doi": []}, {"id": "11aa92ecea8674138c375d2bfea3ddc4f5811b45", "title": "Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11392.pdf"], "doi": []}, {"id": "8935ffe454758e2e5def0b5190de6e28c350b3b8", "title": "Learning to Reconstruct Face Geometries Research", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea06/abd83c491877f0ce04cc7780ce068578f282.pdf"], "doi": []}, {"id": "b8f3f6d8f188f65ca8ea2725b248397c7d1e662d", "title": "Selfie Detection by Synergy-Constraint Based Convolutional Neural Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.04357.pdf"], "doi": []}, {"id": "9ea992f009492888c482d5f4006281eaa8b758e7", "title": "X2Face: A Network for Controlling Face Generation Using Images, Audio, and Pose Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10550.pdf"], "doi": []}, {"id": "81695fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f", "title": "Comparison of Face Recognition Neural Networks", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8169/5fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f.pdf"], "doi": []}, {"id": "e36fdb50844132fc7925550398e68e7ae95467de", "title": "Face Verification with Disguise Variations via Deep Disguise Recognizer", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575251"]}, {"id": "f94867160e0885bc397892e4db56fa7ce9ebc83a", "title": "Visualizing and Quantifying Discriminative Features for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373806", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00013", "http://doi.org/10.1109/FG.2018.00013"]}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "8191f76d9df5c59186859c4834026c8e0fb42922", "title": "Deep Semantic Face Deblurring", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578960"]}, {"id": "bb6801a2e7e3f319d6dc72a4ab5b4d16919d074d", "title": "Continuous Real-Time Vehicle Driver Authentication Using Convolutional Neural Network Based Face Recognition", "year": "2018", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/derman18hbu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373885", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00092", "http://doi.org/10.1109/FG.2018.00092"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "3929ff77805bc02993b187a6019dbed4f662d59c", "title": "Pose Overcomplete Automatic Registration Method for Video Based Robust Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8221077"]}, {"id": "2ad7cef781f98fd66101fa4a78e012369d064830", "title": "Neural Aggregation Network for Video Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.05474.pdf"], "doi": []}, {"id": "d041c8cb05a5555046f6e62a4efbb964fb560c31", "title": "Generating faces for affect analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05027.pdf"], "doi": []}, {"id": "eb3066de677f9f6131aab542d9d426aaf50ed2ce", "title": "Deep Transfer Network with 3D Morphable Models for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373860", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00067", "http://doi.org/10.1109/FG.2018.00067"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "710b7a0c45ca6ba84768025ed1a02804a9530ea9", "title": "Illumination invariant single face image recognition under heterogeneous lighting condition", "year": "2017", "pdf": ["http://isee.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Illumination%20Invariant%20Single%20Face%20Image%20Recognition%20under%20Heterogeneous%20Lighting%20Condition.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.029"]}, {"id": "e568236493c3606ecd8c576a62540545aed1c170", "title": "Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05155.pdf"], "doi": []}, {"id": "7f3a73babe733520112c0199ff8d26ddfc7038a0", "title": "Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f3a/73babe733520112c0199ff8d26ddfc7038a0.pdf"], "doi": []}, {"id": "c0be23ae7f327f9415e583aee1936b9932c9b58b", "title": "Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05476.pdf"], "doi": []}, {"id": "49fdafef327069516d887d8e69b5e96c983c3dd0", "title": "Face Retrieval in Video Sequences Using a Single Face Sample", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227433", "http://doi.org/10.1109/DICTA.2017.8227433"]}, {"id": "0f4dfdeca316a5d27d61ab6bcdf907cd44686941", "title": "Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images", "year": "2016", "pdf": ["http://vbn.aau.dk/files/245132512/FFER_Pain_Super_Resolution.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-56687-0_13"]}, {"id": "f49b4ab188dd090367d9f6762473879b2bba16cf", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578512"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "ca8ba835d8ebcc2d95d166ce34e051821367928f", "title": "Feature Vector Compression Based on Least Error Quantization", "year": "2016", "pdf": ["http://vislab.ucr.edu/Biometrics16/Vector_Compression.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Kawahara_Feature_Vector_Compression_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789508", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.18", "http://doi.org/10.1109/CVPRW.2016.18"]}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "52a9f957f776c8b3d913cfcd20452b9e31c27845", "title": "OPML: A one-pass closed-form solution for online metric learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09178.pdf"], "doi": []}, {"id": "25a784f7f8c94c42821ee078587fc38dffcd00a4", "title": "Robust Face Detection via Learning Small Faces on Hard Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11662.pdf"], "doi": []}, {"id": "b72eebffe697008048781ab7b768e0c96e52236a", "title": "Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Discriminative_Covariance_Oriented_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wang_Discriminative_Covariance_Oriented_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Discriminative%20Covariance%20Oriented%20Representation%20Learning%20for%20Face%20Recognition%20with%20Image%20Sets_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100092", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.609", "http://doi.org/10.1109/CVPR.2017.609"]}, {"id": "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "title": "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02952.pdf"], "doi": []}, {"id": "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "title": "Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S1060992X17020102"]}, {"id": "1a31192ac79d0eccef596f93d6170117a0111396", "title": "Image Based Facial Micro-Expression Recognition Using Deep Learning on Small Datasets", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227443", "http://doi.org/10.1109/DICTA.2017.8227443"]}, {"id": "64e216c128164f56bc91a33c18ab461647384869", "title": "Low-resolution Convolutional Neural Networks for video face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738017", "http://doi.org/10.1109/AVSS.2016.7738017"]}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"], "doi": []}, {"id": "7c86f71de716a297950dc46f45152e03bfbc475d", "title": "Asymmetric Joint Learning for Heterogeneous Face Recognition", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16096", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16096/16249"]}, {"id": "ff3a89da1140c7d75586527002f9fd28cbfb04b6", "title": "Strengths and weaknesses of deep learning models for face recognition against image degradations", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2017.0083"]}, {"id": "e83b017eaedfbf19d598799d8a1884c57c634782", "title": "GenLR-Net: Deep Framework for Very Low Resolution Face and Object Recognition with Generalization to Unseen Categories", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575553"]}, {"id": "c4da6de4135a67c1c34ca5432224a2e91de71a17", "title": "Facial Recognition via Transfer Learning: Fine-Tuning Keras_vggface", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560856"]}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "f2700e3d69d3cce2e0b1aea0d7f87e74aff437cd", "title": "Attention-Aware Deep Reinforcement Learning for Video Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Rao_Attention-Aware_Deep_Reinforcement_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237686", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.424", "http://doi.org/10.1109/ICCV.2017.424"]}, {"id": "fdaf65b314faee97220162980e76dbc8f32db9d6", "title": "Face recognition using both visible light image and near-infrared image and a deep network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fdaf/65b314faee97220162980e76dbc8f32db9d6.pdf"], "doi": []}, {"id": "4560491820e0ee49736aea9b81d57c3939a69e12", "title": "Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04008.pdf"], "doi": []}, {"id": "3555bdf6acee09ec7eb08b891a0f30b82c1b6482", "title": "Soft-Margin Learning for Multiple Feature-Kernel Combinations with Domain Adaptation, for Recognition in Surveillance Face Datasets", "year": "2016", "pdf": ["http://vislab.ucr.edu/Biometrics16/Soft-Margin_Learning.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Banerjee_Soft-Margin_Learning_for_CVPR_2016_paper.pdf", "https://arxiv.org/pdf/1610.01374v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789526", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.36", "http://doi.org/10.1109/CVPRW.2016.36"]}, {"id": "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "title": "Group-aware deep feature learning for facial age estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Group-aware%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.026"]}, {"id": "10e7dd3bbbfbc25661213155e0de1a9f043461a2", "title": "Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04200.pdf"], "doi": []}, {"id": "7a16f37ecccca4f9703ce190dc596149b4ccc8d2", "title": "A Deep Cascade Network for Unaligned Face Attribute Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.03851.pdf"], "doi": []}, {"id": "dbc04694ef17c83bb12b3ad34da6092eab68ae68", "title": "Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.04423.pdf"], "doi": []}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "49484ace2786445c2181d2f2975ec3ce34f9ed6d", "title": "Online Attention for Interpretable Conflict Estimation in Political Debates", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373855", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00062", "http://doi.org/10.1109/FG.2018.00062"]}, {"id": "b07582d1a59a9c6f029d0d8328414c7bef64dca0", "title": "Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.07662.pdf"], "doi": []}, {"id": "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "title": "Metric-based Generative Adversarial Network", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123334"]}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545308"]}, {"id": "5b3f345f1e3ff54e088b8d7ca2f831fd34dcb80a", "title": "Face Painting: querying art with photos", "year": "2015", "pdf": ["http://www.bmva.org/bmvc/2015/papers/paper065/abstract065.pdf", "http://www.bmva.org/bmvc/2015/papers/paper065/paper065.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Crowley15/crowley15.pdf", "https://www.research.ed.ac.uk/portal/files/28430753/crowley15.pdf"], "doi": ["https://doi.org/10.5244/C.29.65"]}, {"id": "f294278e03868257bfce132b8cf189359ada915a", "title": "Boosting Face in Video Recognition via CNN Based Key Frame Extraction", "year": "2018", "pdf": ["https://www.clarkson.edu/sites/default/files/2018-03/Boosting%20Face%20in%20Video%20Recognition%20via%20CNN%20based%20Key%20Frame%20Extraction.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411214", "http://doi.org/10.1109/ICB2018.2018.00030"]}, {"id": "ffcb92719dcd993dda292ca82d4585950ea22ac9", "title": "Handwritten Digit Recognition Using Convolutional Neural Networks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ffcb/92719dcd993dda292ca82d4585950ea22ac9.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "c81326a1ecb7e71ae38a665779b8d959d3938d1a", "title": "A Novel Neural Network Model Specified for Representing Logical Relations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00580.pdf"], "doi": []}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "6e38011e38a1c893b90a48e8f8eae0e22d2008e8", "title": "A Computer Vision Based Approach for Understanding Emotional Involvements in Children with Autism Spectrum Disorders", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Del_Coco_A_Computer_Vision_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265376", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.166", "http://doi.org/10.1109/ICCVW.2017.166"]}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"], "doi": []}, {"id": "e83753a708e3bc8072851fe97aa6929515c518ec", "title": "Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546745"]}, {"id": "b2b535118c5c4dfcc96f547274cdc05dde629976", "title": "Automatic Recognition of Facial Displays of Unfelt Emotions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04061.pdf"], "doi": []}, {"id": "430cc88c6c73ab178c0e656b246f8f74d51c3a7f", "title": "You Will Succeed or Not? Matching Prediction in a Marriage Consulting Service", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7966728", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2017.11", "http://doi.org/10.1109/BigMM.2017.11"]}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "f793970c7b57c3470561e9830cebbdd590a38bf4", "title": "Photo-realistic Facial Texture Transfer", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04306.pdf"], "doi": []}, {"id": "3e9405f88d82f70348317b42828b54718f60dc13", "title": "Thermal to Visible Synthesis of Face Images Using Multiple Regions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354114"]}, {"id": "eff063c99ebed728582a5895e312f660e8fde5f7", "title": "Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.04656.pdf"], "doi": []}, {"id": "6fa9bae381274518d3972294d81e460f0c63900b", "title": "Personalized Recommendations in Police Photo Lineup Assembling Task", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6fa9/bae381274518d3972294d81e460f0c63900b.pdf"], "doi": []}, {"id": "6eba25166fe461dc388805cc2452d49f5d1cdadd", "title": "ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6eba/25166fe461dc388805cc2452d49f5d1cdadd.pdf"], "doi": []}, {"id": "ea5fdb7f6c2e94d1a67bff622c566ddc66be19ab", "title": "Face recognition based on convolutional neural network and support vector machine", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832107"]}, {"id": "388b345e4d9e306e7072d0d2604fcc385d32acf4", "title": "Dynamic Feature Learning for Partial Face Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/He_Dynamic_Feature_Learning_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00737", "http://doi.org/10.1109/CVPR.2018.00737"]}, {"id": "71c4b8e1bb25ee80f4317411ea8180dae6499524", "title": "Extended Features using Machine Learning Techniques for Photo Liking Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463396", "http://doi.org/10.1109/QoMEX.2018.8463396"]}, {"id": "5ce80b41443518a14d800f6b93b4057bbb007432", "title": "Benchmarking Intelligence Processors", "year": "2017", "pdf": [], "doi": []}, {"id": "0c13bf7fcb238cc844dea24c0e2ad694a5f2cbde", "title": "Learning to Identify While Failing to Discriminate", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Sokolic_Learning_to_Identify_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265509", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.298", "http://doi.org/10.1109/ICCVW.2017.298"]}, {"id": "0a2d2b79ba39e2140c93543b8ce873f106c08e3d", "title": "Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.03279.pdf"], "doi": []}, {"id": "43dce79cf815b5c7068b1678f6200dabf8f5de31", "title": "Deep multi-frame face hallucination for face identification", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1709.03196"]}, {"id": "dd2e69465ecdcd67d5211babb9d1a6754468d174", "title": "DF2Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16730", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16730/16293"]}, {"id": "8e5804b8dddff600ee7646b8c33bebad4b550b31", "title": "Convolutional Neural Network-Based Periocular Recognition in Surveillance Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8482116", "http://doi.org/10.1109/ACCESS.2018.2874056"]}, {"id": "debab342dd7bf6980ba5c0ad9fd7d6d3cd691f46", "title": "Long-term face tracking in the wild using deep learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07646.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "6fdc0bc13f2517061eaa1364dcf853f36e1ea5ae", "title": "DAISEE: Dataset for Affective States in E-Learning Environments", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fdc/0bc13f2517061eaa1364dcf853f36e1ea5ae.pdf"], "doi": []}, {"id": "113b06e70b7eead8ae7450bafe9c91656705024c", "title": "Face Alignment across Large Pose via MT-CNN Based 3D Shape Reconstruction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373832", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00039", "http://doi.org/10.1109/FG.2018.00039"]}, {"id": "8d9445e579837e83099e137f2aa65681ce029697", "title": "DeepIED: An epileptic discharge detector for EEG-fMRI based on deep learning", "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S2213158217303108", "https://doi.org/10.1016/j.nicl.2017.12.005", "https://www.ncbi.nlm.nih.gov/pubmed/29321970"]}, {"id": "c808c784237f167c78a87cc5a9d48152579c27a4", "title": "Know You at One Glance: A Compact Vector Representation for Low-Shot Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265437", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.227", "http://doi.org/10.1109/ICCVW.2017.227"]}, {"id": "806c07757431ab3fd91f4276d350186cf6f9b7e4", "title": "Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1892/5ac92f9c8f6e82e0cc7a843234c6c494c4cc.pdf"], "doi": []}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": [], "doi": []}, {"id": "51c7236feaa2ae23cef78c7bca75c69d7081e24a", "title": "Deep multi-frame face super-resolution", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03196.pdf"], "doi": []}, {"id": "8fc730d22f33d08be927e5449f359dc15b5c3503", "title": "Measuring and modeling the perception of natural and unconstrained gaze in humans and machines", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.09819.pdf"], "doi": []}, {"id": "587f81ae87b42c18c565694c694439c65557d6d5", "title": "DeepFace : Face Generation using Deep Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/587f/81ae87b42c18c565694c694439c65557d6d5.pdf"], "doi": []}, {"id": "20260d36506911e04ad1efed1e60b06bfc178d52", "title": "Deep 3D face identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10714.pdf"], "doi": []}, {"id": "084011fe855c3aabb3de1c25174d78082d04a5b7", "title": "WebLogo-2M: Scalable Logo Detection by Deep Learning from the Web", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w5/Su_WebLogo-2M_Scalable_Logo_ICCV_2017_paper.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/SuEtAl_ICCV17WS.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/36236/Gong%20WebLogo-2M%20Scalable%202018%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265251", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.41", "http://doi.org/10.1109/ICCVW.2017.41"]}, {"id": "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "title": "Facial Action Units Detection with Multi-Features and -AUs Fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961833", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.110", "http://doi.org/10.1109/FG.2017.110"]}, {"id": "f56a9a127a0c65f7a0977d93e260d74ed4d5aed9", "title": "3 D Face Recognition Under Unconstrained Settings Using Low-Cost Sensors", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f56a/9a127a0c65f7a0977d93e260d74ed4d5aed9.pdf"], "doi": []}, {"id": "317553d0c479cb9893b3884c96cfa681c80296a0", "title": "Facial Expression Recognition for Traumatic Brain Injured Patients", "year": "2018", "pdf": ["http://vbn.aau.dk/files/265229434/VISAPP_2018_189_CR.pdf", "http://www.scitepress.org/Papers/2018/67213/67213.pdf"], "doi": ["https://doi.org/10.5220/0006721305220530"]}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272729", "http://doi.org/10.1109/BTAS.2017.8272729"]}, {"id": "1a8ab75050d1c5a6722d7fa05bebf8fd4edd698d", "title": "Towards on-farm pig face recognition using convolutional neural networks", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.compind.2018.02.016"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "089a5982768a077028d3675a615b32e67a12a22c", "title": "Face Beauty Analysis via Manifold based Semi-Supervised Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/089a/5982768a077028d3675a615b32e67a12a22c.pdf"], "doi": []}, {"id": "9c9417e7a3c04f6304d3e609ea9ff320bff285e8", "title": "Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237854"]}, {"id": "88337c4ca3eeb00538b9a1ac54180d02187c68db", "title": "Learning Face Age Progression: A Pyramid Architecture of GANs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578109"]}, {"id": "de95fa1dd69a2d0d2b76539357062062f8b1e7b8", "title": "Face to Age", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/de95/fa1dd69a2d0d2b76539357062062f8b1e7b8.pdf"], "doi": []}, {"id": "3b6e90afe6b8dd28b3ac67e4b6c34dc4faa17aa8", "title": "Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-019-01154-8"]}, {"id": "d92084e376a795d3943df577d3b3f3b7d12eeae5", "title": "Face and Image Representation in Deep CNN Features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961806", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.85", "http://doi.org/10.1109/FG.2017.85"]}, {"id": "8e33183a0ed7141aa4fa9d87ef3be334727c76c0", "title": "Robustness of Face Recognition to Image Manipulations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8e33/183a0ed7141aa4fa9d87ef3be334727c76c0.pdf"], "doi": []}, {"id": "6aa201b23b93dc51939e68bcf12e386d3b459f2d", "title": "Monitoring Patients in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961856", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.153", "http://doi.org/10.1109/FG.2017.153"]}, {"id": "f0225fd9e968a022ea6f993c1e44f01716908769", "title": "Learning the Cultural Consistent Facial Aesthetics by Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227351", "http://doi.org/10.1109/Culture.and.Computing.2017.53"]}, {"id": "523574aca71d8981b4122cce8d132f22391ef26e", "title": "MovieGraphs: Towards Understanding Human-Centric Situations from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578993"]}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "fd4537b92ab9fa7c653e9e5b9c4f815914a498c0", "title": "One-Sided Unsupervised Domain Mapping", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00826.pdf"], "doi": []}, {"id": "4edc7f27d4512b69be54abfc6b9876e5b00725ab", "title": "Facial Expression Recognition using Convolutional Neural Networks: State of the Art", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02903.pdf"], "doi": []}, {"id": "be0a0e563445119b82d664d370e646e53e69a4c5", "title": "Age and gender classification from speech and face images by jointly fine-tuned deep neural networks", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.05.037"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "title": "Features and methods for improving large scale face recognition", "year": "2015", "pdf": [], "doi": ["https://ora.ox.ac.uk/objects/uuid:7704244a-b327-4e5c-a58e-7bfe769ed988"]}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "260a57f4d099f3f2a2c2b458e92de15e4e4a47fc", "title": "Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hu_Attribute-Enhanced_Face_Recognition_ICCV_2017_paper.pdf", "https://pure.qub.ac.uk/portal/files/138226397/ICCV2017_Attribute_Enhanced_Face_Recognition_with_Neural_Tensor_Fusion_Networks.pdf", "https://www.research.ed.ac.uk/portal/files/41072997/hu2017neuralTensor.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237666", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.404", "http://doi.org/10.1109/ICCV.2017.404"]}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"id": "174ef76c12e6426056ff2980bf220964030ed48e", "title": "How competitive are you: Analysis of people's attractiveness in an online dating system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019374", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019374", "http://doi.org/10.1109/ICME.2017.8019374"]}, {"id": "49a5d855f91c6ec6d1724a200d33e92c41f73480", "title": "Cascade Adversarial Machine Learning Regularized with a Unified Embedding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02582.pdf"], "doi": []}, {"id": "9a845ce802227a13de16f3e29eebeb3c8817f83b", "title": "Convolutional neural network approach for vision based student recognition system", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8281789"]}, {"id": "6187f91f1e53cf6f62afe30e01c7b1ed43505c9e", "title": "Localizing and Orienting Street Views Using Overhead Imagery", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00161.pdf"], "doi": []}, {"id": "a58ba304ca0c37d94c7227feeeffb600a492d902", "title": "Audio-Visual Speech Enhancement Based on Multimodal Deep Convolutional Neural Networks", "year": "", "pdf": [], "doi": []}, {"id": "42a48ce71daa2d05c698d2e9e90335320ddd9841", "title": "General-to-specific learning for facial attribute classification in the wild", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2018.09.003"]}, {"id": "7173871866fc7e555e9123d1d7133d20577054e8", "title": "Simultaneous Adversarial Training - Learn from Others Mistakes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08108.pdf"], "doi": []}, {"id": "71fd29c2ae9cc9e4f959268674b6b563c06d9480", "title": "End-to-end 3D shape inverse rendering of different classes of objects from a single input image", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05858.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "59b6ff409ae6f57525faff4b369af85c37a8dd80", "title": "Deep Attribute Driven Image Similarity Learning Using Limited Data", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8241593", "http://doi.ieeecomputersociety.org/10.1109/ISM.2017.28", "http://doi.org/10.1109/ISM.2017.28"]}, {"id": "de06dcbe607f583794ce98f85caed4607a366b35", "title": "UAS Navigation with SqueezePoseNet\u2014Accuracy Boosting for Pose Regression by Data Augmentation", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.3390/drones2010007", "https://publikationen.bibliothek.kit.edu/1000087401/19336945"]}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354125", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00021", "http://doi.org/10.1109/WACV.2018.00021"]}, {"id": "3f768179cea3c710dac8e68c0a890c48cfdc8ed1", "title": "Face Template Protection Using Deep Convolutional Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w11/Jindal_Face_Template_Protection_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575550", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00087", "http://doi.org/10.1109/CVPRW.2018.00087"]}, {"id": "7b6f0c4b22aee0cb4987cba9df121d4076fac5a5", "title": "On Learning 3D Face Morphable Model from In-the-wild Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09560.pdf"], "doi": []}, {"id": "954eca6c3daf17a081379d51980beb299c803d3a", "title": "Learning Deep Features for Hierarchical Classification of Mobile Phone Face Datasets in Heterogeneous Environments", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961740", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.139", "http://doi.org/10.1109/FG.2017.139"]}, {"id": "1e472cf9a290e8f59573628dba426cd6d74411f4", "title": "A Large-Scale Software-Generated Face Composite Sketch Database", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7736902", "http://doi.org/10.1109/BIOSIG.2016.7736902", "https://dl.gi.de/20.500.12116/1212"]}, {"id": "e44e8b0e8b041afe4501f199fa8af7610cfd4259", "title": "Reduced Residual Nets (Red-Nets): Low Powered Adversarial Outlier Detectors", "year": "2018", "pdf": ["http://users.cis.fiu.edu/~chens/PDF/IRI18_Saad.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424741", "http://doi.ieeecomputersociety.org/10.1109/IRI.2018.00070", "http://doi.org/10.1109/IRI.2018.00070"]}, {"id": "ba654c84ec5817bd115983fef53c90ca68f880cc", "title": "Generalization in Metric Learning: Should the Embedding Layer Be Embedding Layer?", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658420"]}, {"id": "e6ca412a05002b51d358c2e3061913c3dab6b810", "title": "MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10580.pdf"], "doi": []}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"], "doi": []}, {"id": "a9e8c08c69b8752a8afad752ec26a2b3807ede50", "title": "PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08657.pdf"], "doi": []}, {"id": "49df381ea2a1e7f4059346311f1f9f45dd997164", "title": "Client-Specific Anomaly Detection for Face Presentation Attack Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00848.pdf"], "doi": []}, {"id": "5c01d8bffb5cf7a5f871e3c691f8dc7dba6e6da9", "title": "Survey of biometric pattern recognition via machine learning techniques", "year": "2018", "pdf": ["http://www.m-hikari.com/ces/ces2018/ces33-36-2018/p/hernandezCES33-36-2018-2.pdf"], "doi": ["https://doi.org/10.12988/ces.2018.84166"]}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "0b07e4341303272b26be11262feb66c0a4412c43", "title": "Deep Learned Cumulative Attribute Regression", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373906", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00113", "http://doi.org/10.1109/FG.2018.00113"]}, {"id": "fd0a1a2ecf69a6c1a6efcb18b8f23e4d5402f601", "title": "ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02095.pdf"], "doi": []}, {"id": "d118454b38f3f0d4dd48d7775ea3683708b33325", "title": "Person Identification from Drones by Humans: Insights from Cognitive Psychology", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d118/454b38f3f0d4dd48d7775ea3683708b33325.pdf"], "doi": []}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "1280b35e4a20036fcfd82ee09f45a3fca190276f", "title": "Face Verification Based on Feature Transfer via PCA-SVM Framework", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276888", "http://doi.ieeecomputersociety.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166", "http://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.166"]}, {"id": "df7af280771a6c8302b75ed0a14ffe7854cca679", "title": "Prediction of users' facial attractiveness on an online dating website", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026293", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026293", "http://doi.org/10.1109/ICMEW.2017.8026293"]}, {"id": "b3e5cc26fb8ae57b5e9e6dc161d5ea3c67bcdeab", "title": "Exploiting Data Redundancy for Error Detection in Degraded Biometric Signatures Resulting From in the Wild Environments", "year": "2017", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/FG2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961852", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.122", "http://doi.org/10.1109/FG.2017.122"]}, {"id": "a8ff837f67f9fe9e6f562f5de56784b93b4f9dfe", "title": "XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05139.pdf"], "doi": []}, {"id": "db326e6b49121e7f80c802fd2e5b80a482c955df", "title": "What You Can't See Can Help You - Extended-Range Imaging for 3D-Mask Presentation Attack Detection", "year": "2017", "pdf": ["http://publications.idiap.ch/downloads/papers/2017/Bhattacharjee_BIOSIG2017_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8053524", "https://dl.gi.de/20.500.12116/4645"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "30885b71532eaed5827b5de5cb60d9b85bce7a08", "title": "A Multi-View Learning Approach to Deception Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373888"]}, {"id": "9857eeded6b7608ff862174742b38946102f5008", "title": "Interpretable Facial Relational Network Using Relational Importance", "year": "2017", "pdf": [], "doi": []}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "fd4b5766a8ace0d89676deb26a098949a96089a3", "title": "Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12167.pdf"], "doi": []}, {"id": "98b2f21db344b8b9f7747feaf86f92558595990c", "title": "PACES OF G ENERATIVE A DVERSARIAL N ETWORKS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf"], "doi": []}, {"id": "95df57cf3e15d75a8526b4fd3212d39538d31100", "title": "Towards Pose Invariant Face Recognition in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578333"]}, {"id": "d07483e2c1f89b490ae03507fd39bd3c0883f2d9", "title": "Adversarial-Playground: A Visualization Suite for Adversarial Sample Generation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01763.pdf"], "doi": []}, {"id": "4589d6bbb3186fc001ea2a42ae1ea2718edba915", "title": "Recursive Cross-Domain Face/Sketch Generation from Limited Facial Parts", "year": "2017", "pdf": [], "doi": []}, {"id": "29c1f733a80c1e07acfdd228b7bcfb136c1dff98", "title": "Discriminatively Trained Latent Ordinal Model for Video Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.02318.pdf"], "doi": []}, {"id": "00c05adcd5157edba775782464402c2bfb998c82", "title": "Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b5fd/440edd27702c8dbfa38fac0bf23deacf33cb.pdf"], "doi": []}, {"id": "cfa205874bd192ab949132631a7eda995ecc57af", "title": "Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07457.pdf"], "doi": []}, {"id": "b632d47eb7421a3d622b0f1ceb009e4415ccc84d", "title": "Deep Perceptual Mapping for Cross-Modal Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.05347.pdf"], "doi": []}, {"id": "cd6e32b00a53310f90a7138a41b855bf44129637", "title": "Persons-In-Places: a Deep Features Based Approach for Searching a Specific Person in a Specific Location", "year": "2017", "pdf": [], "doi": ["http://www.informatica.si/index.php/informatica/article/view/1664", "http://www.informatica.si/index.php/informatica/article/download/1664/1031"]}, {"id": "6e7d799497b94954dc4232d840628c3a00263e42", "title": "Aalborg Universitet Deep Multimodal Pain Recognition : A Database and Comparison of Spatio-Temporal Visual", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6e7d/799497b94954dc4232d840628c3a00263e42.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": "b4c80df27276660522f8901aa90c129c15611821", "title": "On Detecting Domestic Abuse via Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575463"]}, {"id": "e2468c58e3178dd3a5dbbc1888a9d122c2727b76", "title": "Learning Face Deblurring Fast and Wide", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575269"]}, {"id": "ff60d4601adabe04214c67e12253ea3359f4e082", "title": "Video-based emotion recognition in the wild using deep transfer learning and score fusion", "year": "2017", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/imavis_emotiw15_v10.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.01.012"]}, {"id": "2133475ba633c732292ccf405f07a0baea9d01b3", "title": "Demographic-Assisted Age-Invariant Face Recognition and Retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.3390/sym10050148"]}, {"id": "01350214f850f43d72268df4f98b05901fbbe06c", "title": "1 Deep convolutional neural networks for detection of 2 polar mesocyclones from satellite mosaics 3", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0135/0214f850f43d72268df4f98b05901fbbe06c.pdf"], "doi": []}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961736", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.28", "http://doi.org/10.1109/FG.2017.28"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "116808d63af1cdfa30b9cb9abfa6883f932cc44f", "title": "Feature fusion with covariance matrix regularization in face recognition", "year": "2018", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/44512/Feature%20Fusion%20with%20Covariance%20Matrix%20Regularization%20in.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.1016/j.sigpro.2017.10.024"]}, {"id": "de390a143720e697bc71c3727633b155bf25a2c1", "title": "High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/de39/0a143720e697bc71c3727633b155bf25a2c1.pdf"], "doi": []}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "1e21b925b65303ef0299af65e018ec1e1b9b8d60", "title": "Unsupervised Cross-Domain Image Generation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.02200.pdf"], "doi": []}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "e4232e8fd566a7289ccb33f732c9093c9beb84a6", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.300", "http://doi.org/10.1109/ICCVW.2017.300"]}, {"id": "4fb11a58d5a3ffc0bb6d4ade334a366b4a431b02", "title": "The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00074.pdf"], "doi": []}, {"id": "a23e7e71fb92a56c2e7717f6356e8b69fc2f4bfc", "title": "Multimodal fusion of audio, scene, and face features for first impression estimation", "year": "2016", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/gurpinar16icpr_author_proof.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899605", "http://doi.org/10.1109/ICPR.2016.7899605"]}, {"id": "cf6c59d359466c41643017d2c212125aa0ee84b2", "title": "Weakly-supervised deep self-learning for face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552983", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552983", "http://doi.org/10.1109/ICME.2016.7552983"]}, {"id": "16371cf22f9de60dd1edd7178669e5ba69143686", "title": "Exploring LOTS in Deep Neural Networks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2624/08f84d6c5c25cff15bec24a5a874e6a944d0.pdf"], "doi": []}, {"id": "2d2127532fbad4d5558ead3e5617e3d3004dd5cf", "title": "DeepFakes: a New Threat to Face Recognition? Assessment and Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08685.pdf"], "doi": []}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "d278e020be85a1ccd90aa366b70c43884dd3f798", "title": "Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11191.pdf"], "doi": []}, {"id": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"], "doi": []}, {"id": "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579001"]}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "d06bcb2d46342ee011e652990edf290a0876b502", "title": "Photo-realistic Face Images Synthesis for Learning-based Fine-scale 3D Face Reconstruction", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1708.00980"]}, {"id": "8c7f4c11b0c9e8edf62a0f5e6cf0dd9d2da431fa", "title": "Dataset Augmentation for Pose and Lighting Invariant Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04326.pdf"], "doi": []}, {"id": "437642cfc8c34e445ea653929e2d183aaaeeb704", "title": "Component Biologically Inspired Features with Moving Segmentation for Age Estimation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Hsu_Component_Biologically_Inspired_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/Component_Biologically_Inspired_Features_with_Moving_Segmentation_for_Age_Estimation_rev.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014815", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.81", "http://doi.org/10.1109/CVPRW.2017.81"]}, {"id": "c9ab493f7ab58e7923dfad04c48b860cfc5aaf30", "title": "Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7997822"]}, {"id": "42cc9ea3da1277b1f19dff3d8007c6cbc0bb9830", "title": "Coordinated Local Metric Learning", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Saxena_Coordinated_Local_Metric_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406405", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.56", "http://doi.org/10.1109/ICCVW.2015.56"]}, {"id": "b28d061c0e26b4580f603c1fd919ce0c7a84c731", "title": "Face value of companies : deep learning for nonverbal communication", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b28d/061c0e26b4580f603c1fd919ce0c7a84c731.pdf"], "doi": []}, {"id": "6e3660e8efb976c916e61fe17ea90aea7d13aac4", "title": "BIER \u2014 Boosting Independent Embeddings Robustly", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Opitz_BIER_-_Boosting_ICCV_2017_paper.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/opitz_iccv17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237817", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.555", "http://doi.org/10.1109/ICCV.2017.555"]}, {"id": "195bec771d31eff04c8b0324878d2338ab594527", "title": "On Effectiveness of Anomaly Detection Approaches against Unseen Presentation Attacks in Face Anti-spoofing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411206"]}, {"id": "aeff403079022683b233decda556a6aee3225065", "title": "DeepFace: Face Generation using Deep Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01876.pdf"], "doi": []}, {"id": "31aa20911cc7a2b556e7d273f0bdd5a2f0671e0a", "title": "Patch-based Face Recognition using a Hierarchical Multi-label Matcher", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01417.pdf"], "doi": []}, {"id": "726b8aba2095eef076922351e9d3a724bb71cb51", "title": "DFaceNet : Real-time Dense Face Reconstruction via Synthesizing Photo-realistic Face Images", "year": "2017", "pdf": [], "doi": []}, {"id": "3933e323653ff27e68c3458d245b47e3e37f52fd", "title": "Evaluation of a 3 D-aided Pose Invariant 2 D Face Recognition System", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3933/e323653ff27e68c3458d245b47e3e37f52fd.pdf"], "doi": []}, {"id": "60f7de07de4d090990120483bd5407369b29a120", "title": "\u2113\u2081-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/60f7/de07de4d090990120483bd5407369b29a120.pdf"], "doi": []}, {"id": "6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365", "title": "Privacy-Preserving Deep Inference for Rich User Data on The Cloud", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01727.pdf"], "doi": []}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "17ad76ef00d4cb584389682ca6b138a8bdc9a2da", "title": "Continuous Multimodal Emotion Recognition Approach for AVEC 2017", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05861.pdf"], "doi": []}, {"id": "f5ab93e4ec9d0c80ae6c1378e865df2411f19752", "title": "Dict Layer: A Structured Dictionary Layer", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w11/Chen_Dict_Layer_A_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575546", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00083", "http://doi.org/10.1109/CVPRW.2018.00083"]}, {"id": "c1c8ea4b2118095bea55cf6b51c36dbf95cc7f2c", "title": "Learning 3D Segment Descriptors for Place Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09270.pdf"], "doi": []}, {"id": "b8a5839f6b1e051f430f2b89d5a1a7e49a10655a", "title": "DCFNet: Deep Neural Network with Decomposed Convolutional Filters", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04145.pdf"], "doi": []}, {"id": "3f6da4965b214ea947dd3b6cd33b41ece89e7e79", "title": "Context-Aware Fusion for Continuous Biometric Authentication", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411227", "http://doi.org/10.1109/ICB2018.2018.00043"]}, {"id": "66436e96aafa7abd3b0700e8409dbb360775a9b8", "title": "Considering Race a Problem of Transfer Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8638327"]}, {"id": "9aa36a46d63693c136cb8ca673128f2a2d4e08d5", "title": "[Regular Paper] KnowPain: Automated System for Detecting Pain in Neonates from Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567471"]}, {"id": "8f89aed13cb3555b56fccd715753f9ea72f27f05", "title": "Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08690.pdf"], "doi": []}, {"id": "a9ae55c83a8047c6cdf7c958fd3d4a6bfb0a13df", "title": "AcFR: Active Face Recognition Using Convolutional Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w1/papers/Nakada_AcFR_Active_Face_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014745", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.11", "http://doi.org/10.1109/CVPRW.2017.11"]}, {"id": "7f6cd03e3b7b63fca7170e317b3bb072ec9889e0", "title": "A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09359.pdf"], "doi": []}, {"id": "64d9c5ab4cab193046ac839b74d182a472fe45ba", "title": "NosePose : a competitive , landmark-free methodology for head pose estimation in the wild", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/64d9/c5ab4cab193046ac839b74d182a472fe45ba.pdf"], "doi": []}, {"id": "bcd6e682c11eaf493017cb734e95d606e49648cb", "title": "BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099762"]}, {"id": "5f09018d330f8d62b9abd83d44f1097d945508e4", "title": "Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03268.pdf"], "doi": []}, {"id": "5d80149e005894ab57f47e667f3e060e247d8e43", "title": "Lip reading using CNN and LSTM", "year": "2016", "pdf": [], "doi": []}, {"id": "71edcfe5e3a4e1678698a0659a7e51555291d242", "title": "Who's that Actor? Automatic Labelling of Actors in TV Series Starting from IMDB Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.09162.pdf"], "doi": []}, {"id": "1999248e52154aa8e2aa4c1e60899e26794eb1f9", "title": "A two-stage learning approach to face recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2016.12.006"]}, {"id": "9e86e9853c261f2e4affe61674ca26a537ba65de", "title": "Transfer Learning for Face Identification with Deep Face Model", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7979872", "http://doi.org/10.1109/CCBD.2016.014"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "a455cbde9dafdb099d83464c7f4729d8f17208ed", "title": "ODESSA/PLUMCOT at Albayzin multimodal diarization challenge 2018", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a455/cbde9dafdb099d83464c7f4729d8f17208ed.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": "5121f42de7cb9e41f93646e087df82b573b23311", "title": "Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04347.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "f4ac6d29b6f544370d53aaff88c007c14a1fddfb", "title": "Changes in Facial Expression as Biometric: A Database and Benchmarks of Identification", "year": "2018", "pdf": ["http://sergioescalera.com/wp-content/uploads/2018/05/FG2018_Expression-Change-Biometrics.pdf", "http://vbn.aau.dk/files/279731010/FG2018_Expression_Biometric_CameraReady.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373891", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00098", "http://doi.org/10.1109/FG.2018.00098"]}, {"id": "59efb1ac77c59abc8613830787d767100387c680", "title": "DIF : Dataset of Intoxicated Faces for Drunk Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10030.pdf"], "doi": []}, {"id": "3a3c47b6da1ea1b8d57ce41d9ddb54a774e1914d", "title": "High-Level Prediction Signals in a Low-Level Area of the Macaque Face-Processing Hierarchy", "year": "2017", "pdf": ["http://www.cnbc.cmu.edu/braingroup/papers/Schiedrzik_Freiwald_2017.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0896627317308425", "http://doi.org/10.1016/j.neuron.2017.09.007", "https://www.ncbi.nlm.nih.gov/pubmed/28957679"]}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576", "title": "Neural Face Editing with Intrinsic Image Disentangling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04131.pdf"], "doi": []}, {"id": "65783e66cb6d9c057edf7b37f6d0be24a78d3013", "title": "Recognition of Affect in the Wild Using Deep Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Kollias_Recognition_of_Affect_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/cvpr_workshop_paper_camera_ready_(2).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014981", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.247", "http://doi.org/10.1109/CVPRW.2017.247"]}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"], "doi": []}, {"id": "dbe101c7c4b5ea5986be38e4d6de70bfc4324683", "title": "1 Deep convolutional neural networks capabilities for 2 binary classification of polar mesocyclones in 3 satellite mosaics 4", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cd86/ad9c21ceff734446d26a08d89c893174dfb3.pdf"], "doi": []}, {"id": "4e4a4359c7dd25af7e2ef0910928cd9faa5d0cfb", "title": "End-to-End 3D Face Reconstruction with Deep Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05020.pdf"], "doi": []}, {"id": "d94c7a89adf6f568bbe1510910850d5083a58b4f", "title": "Deep Cross Modal Learning for Caricature Verification and Identification (CaVINet)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11688.pdf"], "doi": []}, {"id": "08307351e8f2a40d7ff9bbee8deaa54dc1bad055", "title": "Face Recognition Based on CSGF(2D)2PCANet", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8435907", "http://doi.org/10.1109/ACCESS.2018.2865425"]}, {"id": "021e008282714eaefc0796303f521c9e4f199d7e", "title": "NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354319", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00215", "http://doi.org/10.1109/WACV.2018.00215"]}, {"id": "415c16201f65e92b089918340494ba2a798bdec5", "title": "Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03156.pdf"], "doi": []}, {"id": "e8e662e45e39249756d2b0090782434a5cf1f4aa", "title": "VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hou_VegFru_A_Domain-Specific_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Hou_VegFru_A_Domain-Specific_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237328", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.66", "http://doi.org/10.1109/ICCV.2017.66"]}, {"id": "7334ebde5892b618c24dbac47027f61cf0473fde", "title": "DeepStar: Detecting Starring Characters in Movies", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8604143"]}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "47e14fdc6685f0b3800f709c32e005068dfc8d47", "title": "Secure Face Matching Using Fully Homomorphic Encryption", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00577.pdf"], "doi": []}, {"id": "c1d11b94c8fecaed79f97966d4bfa8381d32ad16", "title": "Deep Domain Adaptation for Face Recognition using images captured from surveillance cameras", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553278", "http://doi.org/10.23919/BIOSIG.2018.8553278"]}, {"id": "b8d9966941bc1e7a225d6f338fb3c1bd04bb2910", "title": "Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10938.pdf"], "doi": []}, {"id": "204b2b9c33d2c3be77dbd6d82dfefd1dfa95d8a3", "title": "Deep Face Recognition under Eyeglass and Scale Variation Using Extended Siamese Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575869", "http://doi.org/10.1109/ACPR.2017.48"]}, {"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": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "b12431e61172443c534ea523a4d7407e847b5c5b", "title": "Yu\u0308z Tan\u0131maya Dayal\u0131 Kis\u0327i Bazl\u0131 Test Otomasyonu", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b124/31e61172443c534ea523a4d7407e847b5c5b.pdf"], "doi": []}, {"id": "218603147709344d4ff66625d83603deee2854bf", "title": "Learning Deep Embeddings with Histogram Loss", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.00822.pdf"], "doi": []}, {"id": "6ebc601bba067af64b57d59039319650168df4c9", "title": "CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.00980.pdf"], "doi": []}, {"id": "92527ace7f75188b5ec209ff7d59f431343075e4", "title": "Video-based emotion recognition using CNN-RNN and C3D hybrid networks", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997632"]}, {"id": "25d75339720787e7003f2f103cf38cee8175972a", "title": "Optimistic and Pessimistic Neural Networks for Scene and Object Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07982.pdf"], "doi": []}, {"id": "fea83550a21f4b41057b031ac338170bacda8805", "title": "Learning a Metric Embedding for Face Recognition using the Multibatch Method", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.07270.pdf"], "doi": []}, {"id": "110359824a0e3b6480102b108372793265a24a86", "title": "Landmark perturbation-based data augmentation for unconstrained face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.03.011"]}, {"id": "0418cdad1a10b58cf1a526b5a65a465f9324d67f", "title": "Facial Micro-Expressions Grand Challenge 2018 Summary", "year": "2018", "pdf": ["http://pesona.mmu.edu.my/~johnsee/research/papers/files/summary-megc-fg18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373899", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00106", "http://doi.org/10.1109/FG.2018.00106"]}, {"id": "93ae0e1704b20b89149e3eabce39c7428063e963", "title": "Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578368"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "c18bf07d5161d6ca7afb6eb5a4f385b6bd2fc381", "title": "Leveraging Large Face Recognition Data for Emotion Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373902", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00109", "http://doi.org/10.1109/FG.2018.00109"]}, {"id": "f36303b994e571d45bea1961edf46a072f4b2ffe", "title": "Convolutional Neural Networks for Iris Presentation Attack Detection: Toward Cross-Dataset and Cross-Sensor Generalization", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575375"]}, {"id": "fddc99348ba397c0f1a16f4ee44754fb7a411b76", "title": "Automatic Detection of Optic Disc in Retina Image Using CNN and CRF", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560299"]}, {"id": "1b55c4e804d1298cbbb9c507497177014a923d22", "title": "Incremental Class Representation Learning for Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1b55/c4e804d1298cbbb9c507497177014a923d22.pdf"], "doi": []}, {"id": "a75de488eaacb1dafffbe667465390f101498aaf", "title": "Rule-Based Facial Makeup Recommendation System", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961759", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.47", "http://doi.org/10.1109/FG.2017.47"]}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"], "doi": []}, {"id": "b13ab3647352c3af2ba656f93b69bb5ae9a69fe5", "title": "Using deep learning for social analysis in egocentric images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b13a/b3647352c3af2ba656f93b69bb5ae9a69fe5.pdf"], "doi": []}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373908", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00115", "http://doi.org/10.1109/FG.2018.00115"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "da5932a4f3af37030f0460496d4e0b6f93294bfd", "title": "Learning Geometric Equivalence between Patterns Using Embedding Neural Networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227457", "http://doi.org/10.1109/DICTA.2017.8227457"]}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "pdf": [], "doi": []}, {"id": "f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6", "title": "Rapid Object Detection Systems , Utilising Deep Learning and Unmanned Aerial Systems ( Uas ) for Civil Engineering Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f81f/5da2a1e4eb80b465b8dffca4c9e583a8a8a6.pdf"], "doi": []}, {"id": "f7242b7a146f62189f27a71ff56a26e17b26a363", "title": "SegMap: 3D Segment Mapping using Data-Driven Descriptors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09557.pdf"], "doi": []}, {"id": "f276d79e428183b457875dcccf2442c7832093bb", "title": "Deep Hierarchical Network With Line Segment Learning for Quantitative Analysis of Facial Palsy", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8558494", "http://doi.org/10.1109/ACCESS.2018.2884969"]}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "d3b9ef82c999f16641c7dd41efe6695bf44d34f0", "title": "Multimodal emotion recognition based human-robot interaction enhancement", "year": "2018", "pdf": [], "doi": []}, {"id": "3d62b2f9cef997fc37099305dabff356d39ed477", "title": "Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02734.pdf"], "doi": []}, {"id": "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "title": "Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575544"]}, {"id": "0c2a9a6bee6dfa5240a79c9dc306c2354d3806e1", "title": "On Matching Faces with Alterations due to Plastic Surgery and Disguise", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07318.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": "70e41be079ff20d213a37e09b9a82bfd2beb2191", "title": "Deep Convolutional Neural Networks Capabilities for Binary Classification of Polar Mesocyclones in Satellite Mosaics", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70e4/1be079ff20d213a37e09b9a82bfd2beb2191.pdf"], "doi": []}, {"id": "e260847323b48a79bd88dd95a1499cd3053d3645", "title": "Reconstructing perceived faces from brain activations with deep adversarial neural decoding", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/937b/78204a7ac4aac6a8782f29c68322621dc1c2.pdf"], "doi": []}, {"id": "bc93a5d09aad16356808843338bdd34df6b5b01b", "title": "DEEP-SEE FACE: A Mobile Face Recognition System Dedicated to Visually Impaired People", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8466782", "http://doi.org/10.1109/ACCESS.2018.2870334"]}, {"id": "68484ae8a042904a95a8d284a7f85a4e28e37513", "title": "Spoofing Deep Face Recognition with Custom Silicone Masks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6848/4ae8a042904a95a8d284a7f85a4e28e37513.pdf"], "doi": []}, {"id": "d9ca4c9b35b5a3eac4229e5e767caff339ab1641", "title": "Recovering Faces From Portraits with Auxiliary Facial Attributes", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8659142"]}, {"id": "fa72f77519d4e48d9dbb1f47eafdbc9bc4c824bd", "title": "Visual Transformation Aided Contrastive Learning for Video-Based Kinship Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Dibeklioglu_Visual_Transformation_Aided_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237531", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.269", "http://doi.org/10.1109/ICCV.2017.269"]}, {"id": "806589080e7a5e48ee4b8883fc819b521f749128", "title": "On the Learning of Deep Local Features for Robust Face Spoofing Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614337"]}, {"id": "03b31cbb8e64dc9402b76287f06f15840acff3f1", "title": "Privacy-Protective-GAN for Privacy Preserving Face De-Identification", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11390-019-1898-8"]}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "dd16038195c0f3ce6b1f3afc6a0482a12bb9ab6d", "title": "A Study on the Suppression of Amusement", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373850", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00057", "http://doi.org/10.1109/FG.2018.00057"]}, {"id": "0a91c7e4037912b9614eaf738aa732be7bc22ec1", "title": "Sparse, Smart Contours to Represent and Edit Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578468"]}, {"id": "a9286519e12675302b1d7d2fe0ca3cc4dc7d17f6", "title": "Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.08197.pdf"], "doi": []}, {"id": "f33bd953d2df0a5305fc8a93a37ff754459a906c", "title": "Deformable Models of Ears in-the-Wild for Alignment and Recognition", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2017earrecognitioninthewild.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961800", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.79", "http://doi.org/10.1109/FG.2017.79"]}, {"id": "badde061da20510ca74b94818eb726d27ff2f491", "title": "Improving speech embedding using crossmodal transfer learning with audio-visual data", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6992-3"]}, {"id": "fab60b3db164327be8588bce6ce5e45d5b882db6", "title": "Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fab6/0b3db164327be8588bce6ce5e45d5b882db6.pdf"], "doi": []}, {"id": "e908ce44fa94bb7ecf2a8b70cb5ec0b1a00b311a", "title": "Topology preserving graph matching for partial face recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019548", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019548", "http://doi.org/10.1109/ICME.2017.8019548"]}, {"id": "53de11d144cd2eda7cf1bb644ae27f8ef2489289", "title": "Extending Detection with Privileged Information via Generalized Distillation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424637", "http://doi.org/10.1109/SPW.2018.00021"]}, {"id": "3fe269cbe3a15aca4663d7086e0622ec5eb93c2d", "title": "Neural Information Processing", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/978-3-030-04167-0"]}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "33e539cc9bab90ad9165f8482c1329d8870e9bb3", "title": "Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/33e5/39cc9bab90ad9165f8482c1329d8870e9bb3.pdf"], "doi": []}, {"id": "7b0b0e556a91057ce38a731de247e6a98ee65a2d", "title": "A Deep Learning Models for Blind Guidance by Integrating CNN and ELM", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622945", "http://doi.org/10.1109/HPCC%2FSmartCity%2FDSS.2018.00207", "https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00207"]}, {"id": "f2743ae62496a49d69a049141fcddcb3d1fffba4", "title": "Deep learning to predict the lab-of-origin of engineered DNA", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1038/s41467-018-05378-z", "https://www.ncbi.nlm.nih.gov/pubmed/30087331"]}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "bb33376961f6663df848ae9bf055c9afd9182443", "title": "Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01151.pdf"], "doi": []}, {"id": "7da069849066a55d219b9e5b043fb4e07dee2652", "title": "Image-based Family Verification in the wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7da0/69849066a55d219b9e5b043fb4e07dee2652.pdf"], "doi": []}, {"id": "973022a1f9e30a624f5e8f7158b5bbb114f4af32", "title": "Searching a specific person in a specific location using deep features", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011138"]}, {"id": "91dec705d119cb3cc40da18f51aafac3c5c191ce", "title": "Person Recognition beyond the Visible Spectrum: Combining Body Shape and Texture from mmW Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411228", "http://doi.org/10.1109/ICB2018.2018.00044"]}, {"id": "065756857d5180a40b493e88f4eb3b24d30a1713", "title": "License plate detection and recognition using hierarchical feature layers from CNN", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6889-1"]}, {"id": "098363b29eef1471c494382338687f2fe98f6e15", "title": "Metadata-Based Feature Aggregation Network for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411212", "http://doi.org/10.1109/ICB2018.2018.00028", "https://doi.org/10.1109/ICB2018.2018.00028"]}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "0bbde476713458acbdbe86157bc5067b36cad2ad", "title": "Automated Pain Detection from Facial Expressions using FACS: A Review", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07988.pdf"], "doi": []}, {"id": "33cbaae593b6fc0d4cafdd41cec11e00956e251f", "title": "Predicting eye movement patterns from fMRI responses to natural scenes", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1038/s41467-018-07471-9", "https://www.ncbi.nlm.nih.gov/pubmed/30514836"]}, {"id": "4c81c76f799c48c33bb63b9369d013f51eaf5ada", "title": "Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w26/papers/Kaya_Multi-Modal_Score_Fusion_CVPR_2017_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/kaya17chalearn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014944", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.210", "http://doi.org/10.1109/CVPRW.2017.210"]}, {"id": "a84bc1216f508ecdd8bb310e21d5f9bd15dc66d5", "title": "Adversarial image detection in deep neural networks", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-5853-4"]}, {"id": "f36647e63a11486ef9cf7a5a1c86a40fda5d408a", "title": "CS 229 Final Report : Artistic Style Transfer for Face Portraits", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f366/47e63a11486ef9cf7a5a1c86a40fda5d408a.pdf"], "doi": []}, {"id": "366d20f8fd25b4fe4f7dc95068abc6c6cabe1194", "title": "Are facial attributes adversarially robust?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05411.pdf"], "doi": []}, {"id": "da8d0855e7760e86fbec47a3cfcf5acd8c700ca8", "title": "F 2 ConText : How to Extract Holistic Contexts of Persons of Interest for Enhancing Exploratory Analysis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/da8d/0855e7760e86fbec47a3cfcf5acd8c700ca8.pdf"], "doi": []}, {"id": "3a78f0c4b07ff756aec20a2f17ef0f25470c3cd6", "title": "Video Summarization via Multi-view Representative Selection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w18/Meng_Video_Summarization_via_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265353", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.144", "http://doi.org/10.1109/ICCVW.2017.144"]}, {"id": "3fd203807fab28243f84d2360572796869ccde90", "title": "Deep Video Code for Efficient Face Video Retrieval", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfe5/c97de89bbb775c7e44e02d5612f4dae7f95f.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "fd37603fe9808f32d53fd417b20ab0a47dbb2d9b", "title": "Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411207"]}, {"id": "b2ae5c496fe01bb2e2dee107f75b82c6a2a23374", "title": "Attention-Based Template Adaptation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961846", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.116", "http://doi.org/10.1109/FG.2017.116"]}, {"id": "6789bddbabf234f31df992a3356b36a47451efc7", "title": "Unsupervised Generation of Free-Form and Parameterized Avatars.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6789/bddbabf234f31df992a3356b36a47451efc7.pdf"], "doi": []}, {"id": "a3f69a073dcfb6da8038607a9f14eb28b5dab2db", "title": "3D-Aided Deep Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a3f6/9a073dcfb6da8038607a9f14eb28b5dab2db.pdf"], "doi": []}, {"id": "b5ca8d4f259f35c1f3edfd9f108ce29881e478b0", "title": "Disentangled Representation Learning GAN for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Tran_Yin_Liu_CVPR2017.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Tran_Disentangled_Representation_Learning_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.141", "http://doi.org/10.1109/CVPR.2017.141"]}, {"id": "07d3dddb363870cfd980ca8d748c8b1418aad863", "title": "Learning from Differentially Private Neural Activations with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567659", "http://doi.ieeecomputersociety.org/10.1109/SEC.2018.00014", "http://doi.org/10.1109/SEC.2018.00014"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "a8117a4733cce9148c35fb6888962f665ae65b1e", "title": "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00438.pdf"], "doi": []}, {"id": "b5ba0c50cfe2559f4197bb35cf50441118b768c8", "title": "audEERING's approach to the One-Minute-Gradual Emotion Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01222.pdf"], "doi": []}, {"id": "e065a2cb4534492ccf46d0afc81b9ad8b420c5ec", "title": "SFace: An Efficient Network for Face Detection in Large Scale Variations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06559.pdf"], "doi": []}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "9b666e20f570387214926eee542965f3fbe3cfce", "title": "Side Information for Face Completion: a Robust PCA Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07580.pdf"], "doi": []}, {"id": "0ba6614ff9ed1cd00e07d44c5c61879958e7566b", "title": "Representation Learning by Rotating Your Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11136.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "3faebe9d5c47fc90998811c4ac768706283d605c", "title": "Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/12a7/14d01dfef0dae2a113f0da3df223d6a5289c.pdf"], "doi": []}, {"id": "352a620f0b96a7e76b9195a7038d5eec257fd994", "title": "Kinship Classification through Latent Adaptive Subspace", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373823", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00030", "http://doi.org/10.1109/FG.2018.00030"]}, {"id": "ea2d43aa2490331cd1406e1432ce706c53139323", "title": "Tracked Instance Search", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00479.pdf"], "doi": []}, {"id": "c877dfb0c636852f243e53dac4445681e1985a35", "title": "Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09487.pdf"], "doi": []}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961796", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.75", "http://doi.org/10.1109/FG.2017.75"]}, {"id": "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "title": "Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02412.pdf"], "doi": []}, {"id": "2a50dfe8d2157e1f75f587601fad8f3d81bbf10c", "title": "Illumination and pose variable face recognition via adaptively weighted ULBP_MHOG and WSRC", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2017.07.008"]}, {"id": "30861d747c87e2e838c1c30eed334b17cc93cdb6", "title": "Bootstrapping Face Detection with Hard Negative Examples", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02236.pdf"], "doi": []}, {"id": "62e8010e2ac1523d3a3e7e1c13cb34e63e85ce04", "title": "Transfer Learning for Action Unit Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07556.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "4e32fbb58154e878dd2fd4b06398f85636fd0cf4", "title": "A Hierarchical Matcher using Local Classifier Chains", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02339.pdf"], "doi": []}, {"id": "894f1e924dfb8dfb843c42835fa79e386ac07383", "title": "Dimensional emotion recognition using visual and textual cues", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01416.pdf"], "doi": []}, {"id": "18d19cf4d09ac340428d091b24af561a3d5de3ea", "title": "Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08501.pdf"], "doi": []}, {"id": "a6e51e37b8fcc679d331753441ca531fcedbf002", "title": "Multimodal Visual Concept Learning with Weakly Supervised Techniques", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578614"]}, {"id": "d69b8121771f211cd4f0d9bc960954643731ca4b", "title": "OLE: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578944"]}, {"id": "3de3c479164312ab3a1795ee84f20c16632c04c4", "title": "Scalable Deep Learning Logo Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11417.pdf"], "doi": []}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"], "doi": []}, {"id": "03e60b7ea55f3bd30ccd50394723c63ce9b8d14c", "title": "The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614341"]}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "3cc5f82147bd203e6d0a2cf9d2b2ac0ce31e58d6", "title": "Automated face recognition of rhesus macaques", "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027017302637", "http://doi.org/10.1016/j.jneumeth.2017.07.020", "https://www.ncbi.nlm.nih.gov/pubmed/28739161"]}, {"id": "f4d25431e4022e60c465b3f93abd0dbb08864453", "title": "Learning Structure and Strength of CNN Filters for Small Sample Size Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579072"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/vgg_faces2.json b/site/datasets/unknown/vgg_faces2.json index 3b449b98..8e0e722b 100644 --- a/site/datasets/unknown/vgg_faces2.json +++ b/site/datasets/unknown/vgg_faces2.json @@ -1 +1 @@ -{"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "citations": [{"id": "d041c8cb05a5555046f6e62a4efbb964fb560c31", "title": "Generating faces for affect analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05027.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": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545308"]}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"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": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "title": "Comparator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11440.pdf"], "doi": []}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "b612bbd751d94996a02b85829e0b2ac0511350ff", "title": "Learning Representations for Utility and Privacy : An Information-Theoretic Based Approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b612/bbd751d94996a02b85829e0b2ac0511350ff.pdf"], "doi": []}, {"id": "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "title": "Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441009", "http://doi.org/10.1109/SACI.2018.8441009", "https://doi.org/10.1109/SACI.2018.8441009"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "5ec94635977929ccd1e2a8b6a0138868e6ac0543", "title": "The iNaturalist Species Classification and Detection Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579012"]}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "0095f7ea55fc04feb5fbd532e8c07fa281faffd7", "title": "Enabling Deep Learning on IoT Edge: Approaches and Evaluation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567692"]}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "e36fdb50844132fc7925550398e68e7ae95467de", "title": "Face Verification with Disguise Variations via Deep Disguise Recognizer", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575251"]}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "9b666e20f570387214926eee542965f3fbe3cfce", "title": "Side Information for Face Completion: a Robust PCA Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07580.pdf"], "doi": []}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "266766818dbc5a4ca1161ae2bc14c9e269ddc490", "title": "Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2667/66818dbc5a4ca1161ae2bc14c9e269ddc490.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "f15b7c317f106816bf444ac4ffb6c280cd6392c7", "title": "Deep Disguised Faces Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Zhang_Deep_Disguised_Faces_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575272", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00012", "http://doi.org/10.1109/CVPRW.2018.00012"]}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "12ba7c6f559a69fbfaacf61bfb2f8431505b09a0", "title": "DocFace+: ID Document to Selfie Matching", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05620.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "1dd3faf5488751c9de10977528ab96be24616138", "title": "Detecting Anomalous Faces with 'No Peeking' Autoencoders", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05798.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "03e60b7ea55f3bd30ccd50394723c63ce9b8d14c", "title": "The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614341"]}, {"id": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "citations": [{"id": "d041c8cb05a5555046f6e62a4efbb964fb560c31", "title": "Generating faces for affect analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05027.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": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545308"]}, {"id": "20f87ed94a423b5d8599d85d1f2f80bab8902107", "title": "Pose-Guided Photorealistic Face Rotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578974"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"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": "ac5ab8f71edde6d1a2129da12d051ed03a8446a1", "title": "Comparator Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11440.pdf"], "doi": []}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "b612bbd751d94996a02b85829e0b2ac0511350ff", "title": "Learning Representations for Utility and Privacy : An Information-Theoretic Based Approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b612/bbd751d94996a02b85829e0b2ac0511350ff.pdf"], "doi": []}, {"id": "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "title": "Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441009", "http://doi.org/10.1109/SACI.2018.8441009", "https://doi.org/10.1109/SACI.2018.8441009"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "5ec94635977929ccd1e2a8b6a0138868e6ac0543", "title": "The iNaturalist Species Classification and Detection Dataset", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579012"]}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "0095f7ea55fc04feb5fbd532e8c07fa281faffd7", "title": "Enabling Deep Learning on IoT Edge: Approaches and Evaluation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8567692"]}, {"id": "fbc2f5cf943f440b1ba2374ecf82d0176a44f1eb", "title": "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30040629", "http://doi.org/10.1109/TPAMI.2018.2858819"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "e36fdb50844132fc7925550398e68e7ae95467de", "title": "Face Verification with Disguise Variations via Deep Disguise Recognizer", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575251"]}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "9b666e20f570387214926eee542965f3fbe3cfce", "title": "Side Information for Face Completion: a Robust PCA Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07580.pdf"], "doi": []}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "9286eab328444401a848cd2e13186840be8f0409", "title": "Multicolumn Networks for Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09192.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "1dd3faf5488751c9de10977528ab96be24616138", "title": "Detecting Anomalous Faces with 'No Peeking' Autoencoders", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05798.pdf"], "doi": []}, {"id": "03e60b7ea55f3bd30ccd50394723c63ce9b8d14c", "title": "The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614341"]}, {"id": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/viper.json b/site/datasets/unknown/viper.json index 5117a32f..b7bce56c 100644 --- a/site/datasets/unknown/viper.json +++ b/site/datasets/unknown/viper.json @@ -1 +1 @@ -{"id": "6273b3491e94ea4dd1ce42b791d77bdc96ee73a8", "citations": [{"id": "9059188d07fee979f556e3a1fbb6cd76805a6aac", "title": "Real-time tracking and fast retrieval of persons in multiple surveillance cameras of a shopping mall", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9059/188d07fee979f556e3a1fbb6cd76805a6aac.pdf"], "doi": []}, {"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"]}, {"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": "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": "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": "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": "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": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578215"]}, {"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": "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": "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": "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": "09da5ae17cf1bf382f69036a96ec953c18f676d4", "title": "Person Re-Identification using Deep Foreground Appearance Modelling", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/09da/5ae17cf1bf382f69036a96ec953c18f676d4.pdf"], "doi": []}, {"id": "28103f6c09fd64c90a738076b0681400d4d31c9f", "title": "Color Invariants for Person Reidentification", "year": "2013", "pdf": ["http://www.cs.technion.ac.il/news/2011/452/docs/igor_kviatkovsky.pdf", "http://www.cs.technion.ac.il/users/wwwb/cgi-bin/tr-get.cgi/2012/MSC/MSC-2012-03.pdf", "http://www.cs.technion.ac.il/~kviat/papers/ColorInvariantsForPersonReIdentification_Poster.pdf", "http://www.cs.technion.ac.il/~kviat/papers/IgorKviatkovskyMScThesis.pdf", "http://www.cs.technion.ac.il/~kviat/papers/pamiColorReId.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6357194", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2012.246", "http://doi.org/10.1109/TPAMI.2012.246", "https://www.ncbi.nlm.nih.gov/pubmed/23681991"]}, {"id": "2594bf77a1fef68d86be74a2cb79c55499cb2bec", "title": "Learning Invariant Color Features for Person Reidentification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1410.1035.pdf"], "doi": []}, {"id": "c5c56e9c884ac4070880ac481909bb6b621d2a3f", "title": "Random ensemble metrics for object recognition", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126466", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126466", "http://doi.org/10.1109/ICCV.2011.6126466"]}, {"id": "4cf5437ef31e587435ba1531da9109d714c0ee3e", "title": "Vehicle Re-identification Using Quadruple Directional Deep Learning Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05163.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": "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": "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": "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": "9715aba0688195b2019d510ae3fd8da2e40f6e20", "title": "Evaluation of color spaces for person re-identification", "year": "2012", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/%5B2012%5D%5Bicpr%5DDuYN-1055.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460395", "http://ieeexplore.ieee.org/document/6460395/"]}, {"id": "b2444e837095706998b03fa5fed223411b9d4d55", "title": "Color Based Tracing in Real-Life Surveillance Data", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/b244/4e837095706998b03fa5fed223411b9d4d55.pdf"], "doi": []}, {"id": "46a01565e6afe7c074affb752e7069ee3bf2e4ef", "title": "Local Descriptors Encoded by Fisher Vectors for Person Re-identification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a105/f1ef67b4b02da38eadce8ffb4e13aa301a93.pdf"], "doi": []}, {"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": "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": "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": "2eef20a11324686099ee6f9b1a7613444b0d2112", "title": "Dual-Path Convolutional Image-Text Embedding with Instance Loss", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05535.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": "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": "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": "f727b12c905ac585de60811048c9f9dd4188b498", "title": "R 4-A . 2 : Rapid Forensic Search & Retrieval in Video", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f727/b12c905ac585de60811048c9f9dd4188b498.pdf"], "doi": []}, {"id": "4372ddbf84b8d754ed83229db4ecb3d53ccceb73", "title": "A fast multi-scale covariance descriptor for object re-identification", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2011.09.006"]}, {"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": "a341505614f5693c8b6c15d9801fea9f8d956804", "title": "Color Models and Weighted Covariance Estimation for Person Re-identification", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICPR2014/Yang-ICPR-14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977040", "http://doi.org/10.1109/ICPR.2014.328"]}, {"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": "9e8e9e04bfce59907f7c8a73e03f7ebe034120b8", "title": "Adaptive Minimum Classification Error based KISS Metric Learning for Person Re-identification", "year": "", "pdf": ["https://pdfs.semanticscholar.org/9e8e/9e04bfce59907f7c8a73e03f7ebe034120b8.pdf"], "doi": []}, {"id": "d71cefc30269feaa1de3e330b472a7dc66ec95d3", "title": "Person Re-Identification as Image Retrieval Using Bag of Ensemble Colors", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d71c/efc30269feaa1de3e330b472a7dc66ec95d3.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": "bbaebcc0a2d65dea32fe1cf2a2aa12c65bb1b3da", "title": "Track based relevance feedback for tracing persons in surveillance videos", "year": "2013", "pdf": ["https://ivi.fnwi.uva.nl/isis/publications/2013/MetternichCVIU2013/MetternichCVIU2013.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2012.11.004"]}, {"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": "eaaf411826d129c2a31d997dc3f5f708a8186656", "title": "SDALF: Modeling Human Appearance with Symmetry-Driven Accumulation of Local Features", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/eaaf/411826d129c2a31d997dc3f5f708a8186656.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": "4441f529631a9278f5893f8302c2448039456fd9", "title": "A compact color descriptor for person re-identification with clothing selection from a wardrobe", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177526", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177526", "http://doi.org/10.1109/ICME.2015.7177526"]}, {"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": "471bef061653366ba66a7ac4f29268e8444f146e", "title": "Semi-supervised Component Analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7379656", "http://doi.org/10.1109/SMC.2015.524"]}, {"id": "f10f6c294130c76981f0e584af5811c44636eda5", "title": "The Re-identification Challenge", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/109c/7a377a1160ff36874829e3d0a47e08d7ea5e.pdf"], "doi": []}, {"id": "e27ef52c641c2b5100a1b34fd0b819e84a31b4df", "title": "SARC3D: A New 3D Body Model for People Tracking and Re-identification", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e27e/f52c641c2b5100a1b34fd0b819e84a31b4df.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": "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": "afd29ac2de84c8a6d48232477be018ec57d6f564", "title": "Deep Metric Learning for Practical Person Re-Identification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4979.pdf"], "doi": []}, {"id": "88c5baffa5522ea62ff5d5c41036b92e30d7e3c9", "title": "Who is who at different cameras. People re-identification using Depth Cameras", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/88c5/baffa5522ea62ff5d5c41036b92e30d7e3c9.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": "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": "71dc03d6c837ca9ec1334a63bea24d836de076a0", "title": "Complex Events Recognition under Uncertainty in a Sensor Network.", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.0085.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": "d740a9d099a86e234084234af09c060d736f764c", "title": "Improved Person Re-Identification Using Statistical Approximation", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6411683", "http://doi.org/10.1109/DICTA.2012.6411683"]}, {"id": "1afe5d933b58b4dd982a559cc6ec1d17959239de", "title": "Enhanced canonical correlation analysis with local density for cross-domain visual classification", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001757.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952458", "http://doi.org/10.1109/ICASSP.2017.7952458"]}, {"id": "7a4b4719554ddc46bc962a55f88a9ae475d42097", "title": "Discriminative Image Descriptors for Person Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7a4b/4719554ddc46bc962a55f88a9ae475d42097.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": "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": "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": "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": "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": "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": "9caa7f125d3e861450bc3685699fceeaebea04d8", "title": "Designing Video Surveillance Systems as Services", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9caa/7f125d3e861450bc3685699fceeaebea04d8.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.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": "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": "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": "7c8e64f20b58ddd1fc0e9c972c3eb0fe35b40a6b", "title": "Multiple-shot person re-identification by chromatic and epitomic analyses", "year": "2012", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/PRL2012Cristani.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2011.11.016"]}, {"id": "22a7f1aebdb57eecd64be2a1f03aef25f9b0e9a7", "title": "Attribute-restricted latent topic model for person re-identification", "year": "2012", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/person_reidentification_pr12.pdf", "https://www.ece.nus.edu.sg/stfpage/eleqiz/publications/pdf/person_reidentification_pr12.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2012.05.019"]}, {"id": "acaa89fb6263aef7ad58a37d9cac79c8fcaa29ca", "title": "Person Re-identification in Identity Regression Space", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09695.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": "8e4508e86d838356c9ec4a7011fda5cd1d8d35a3", "title": "Finding suspects in multiple cameras for improved railway protection", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e45/08e86d838356c9ec4a7011fda5cd1d8d35a3.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": "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": "5c9c153f705a02e157adcf49dccf4f1eeb70cf93", "title": "Learning Appearance Transfer for Person Re-identification", "year": "2014", "pdf": ["http://www.cs.technion.ac.il/~tammya/Publications/AvrahamLindenbaumREIDchapter2014.pdf"], "doi": ["http://doi.org/10.1007/978-1-4471-6296-4_11"]}, {"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": "f8ebba8188c9f6b1688ba7ba76f297215e6cc7c7", "title": "Triplet-Based Deep Similarity Learning for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.03254.pdf"], "doi": []}, {"id": "88dddb8ea1bc1ad08598e232a67f2bbfbcf3d6ba", "title": "Shinpuhkan2014: A Multi-Camera Pedestrian Dataset for Tracking People across Multiple Cameras", "year": "2014", "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": "ec6340adb88d8443343e0f66f846a8c8c79ebb6f", "title": "Person Re-identification Using Spatial Covariance Regions of Human Body Parts", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Francois_Bremond/publication/224181516_Person_Re-identification_Using_Spatial_Covariance_Regions_of_Human_Body_Parts/links/00b495214e3ee02970000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597114", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2010.34", "http://doi.org/10.1109/AVSS.2010.34"]}, {"id": "0f25aa473e808de72c6975fdb1e3e65180a38c05", "title": "Bag of Soft Biometrics for Person Identification New trends and challenges", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0f25/aa473e808de72c6975fdb1e3e65180a38c05.pdf"], "doi": []}, {"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": "b63411ed70ba315b87a716e1809faea48e70a982", "title": "A Survey on Object Detect , Track and Identify Using Video Surveillance", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b634/11ed70ba315b87a716e1809faea48e70a982.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": "816c1925de9e8557fa70ec67d0ff71a5059eb931", "title": "Person Re-identification by Articulated Appearance Matching", "year": "2014", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/CristaniChapterRe-IDCustom2013.pdf"], "doi": ["http://doi.org/10.1007/978-1-4471-6296-4_7"]}, {"id": "7ac25c5391251611696d16e677bd71040d80d583", "title": "Person Re-Identification by Saliency Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.1908.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": "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": "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": "37a1937691f69fc4b07fc5229c4d2756d2cf41f1", "title": "A Pedestrian Re-Identification Method Based on Multi-Feature Fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8110252"]}, {"id": "260081528f19f6f7e8e5ae16a776b62ad8c2ed0d", "title": "An Agent Based WCET Analysis for Top-View Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2600/81528f19f6f7e8e5ae16a776b62ad8c2ed0d.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": "d737048ceaa81eb59ef2e4cebe2faffe1f19da8f", "title": "Characterizing Humans on Riemannian Manifolds", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6381419", "http://doi.org/10.1109/TPAMI.2012.263", "https://www.ncbi.nlm.nih.gov/pubmed/23787347", "https://www.wikidata.org/entity/Q45279685"]}, {"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": "360a590703542f2ba345b432416398b6dad9e3fb", "title": "Multimodal Person Reidentification Using RGB-D Cameras", "year": "2016", "pdf": ["https://pralab.diee.unica.it/sites/default/files/Pala_IEEE_TCSVT2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7088601", "http://doi.org/10.1109/TCSVT.2015.2424056"]}, {"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": "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": "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": "2084e54505cfe4fd81005167b1b11d10b5f837d1", "title": "Person Re-Identification by Discriminative Selection in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d43f/4cd42c17c6f0ae0186fef0d98eaef2044f31.pdf"], "doi": []}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "3d7fce66c1880f4b29171e415cfad57d8b96ced2", "title": "Exploiting Ambiguities in the Analysis of Cumulative Matching Curves for Person Re-identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3d7f/ce66c1880f4b29171e415cfad57d8b96ced2.pdf"], "doi": []}, {"id": "2868622003cbfd5cfc817cb57896298c0858b166", "title": "BIFOCAL STEREO FOR MULTIPATH PERSON RE-IDENTIFICATION", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2868/622003cbfd5cfc817cb57896298c0858b166.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": "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": "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": "3454e7bc68713f03000e6eeaab67d6401ba24531", "title": "Transferring attributes for person re-identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301803", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301803", "http://doi.org/10.1109/AVSS.2015.7301803"]}, {"id": "5a677694e23fc36c08e3752e9428fb2b90ab0397", "title": "Multi-attribute Residual Network (MAResNet) for Soft-Biometrics Recognition in Surveillance Scenarios", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961767", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.55", "http://doi.org/10.1109/FG.2017.55"]}, {"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": "ae936628e78db4edb8e66853f59433b8cc83594f", "title": "PRISM: Person Reidentification via Structured Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1406.4444.pdf"], "doi": []}, {"id": "b0b43cc7c42cf4a44ea9040455ec40744b3e0d21", "title": "Re-identifying People Based on Indexing Structure and Manifold Appearance Modeling", "year": "2013", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2015/06/paper_2013_SIBGRAPI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6656189", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2013.38", "http://doi.org/10.1109/SIBGRAPI.2013.38"]}, {"id": "c038186138b76a625500ff84c9dadb18aae29f1c", "title": "Learning Implicit Transfer for Person Re-identification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c038/186138b76a625500ff84c9dadb18aae29f1c.pdf"], "doi": []}, {"id": "21fc82d819d2a1a70465471be67260a1d6c0982e", "title": "Kernelized random KISS metric learning for person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.064"]}, {"id": "3e9ab40e6e23f09d16c852b74d40264067ac6abc", "title": "Learning Locally-Adaptive Decision Functions for Person Verification", "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/zhenli_cvpr13-camera-check.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d610.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_Locally-Adaptive_Decision_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~chang87/papers/cvpr_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619307", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.463", "http://doi.org/10.1109/CVPR.2013.463"]}, {"id": "1da19761c5b36e3169e7c7e9d2b2c519b5276691", "title": "Person Re-Identification by Common-Near-Neighbor Analysis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1da1/9761c5b36e3169e7c7e9d2b2c519b5276691.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": "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": "2aacfcdc5d06c86901852f7b666d17e97822ba23", "title": "BiCov: a novel image representation for person re-identification and face verification", "year": "2012", "pdf": ["http://www.bmva.org/bmvc/2012/BMVC/paper057/abstract057.pdf", "http://www.bmva.org/bmvc/2012/BMVC/paper057/paper057.pdf", "http://www.jdl.ac.cn/user/bpma/homepage/Paper/BMVC2012_BiCov%20a%20novel%20image%20representation%20for%20person%20re-identification%20and%20face%20verification.pdf"], "doi": ["http://doi.org/10.5244/C.26.57", "https://hal.archives-ouvertes.fr/hal-00806112/document"]}, {"id": "ce51d6533f4ef7f2c7dc417342b7e72211c4c516", "title": "Human Gait Recognition using Deep Neural Networks", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2905192"]}, {"id": "47022785c35735a242dbacd4f1f1bb73628493ea", "title": "Person Retrieval Based on Viewpoint Saliency Prior", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4702/2785c35735a242dbacd4f1f1bb73628493ea.pdf"], "doi": []}, {"id": "5a08b451b0397782d81edb5b614bb2a523c6be98", "title": "Learning Correspondence Structures for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06931.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": "e4fbd2f5b2068016aba3f3ef6f9bffd695b3a729", "title": "Exploiting Gaussian mixture importance for person re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078470", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078470", "http://doi.org/10.1109/AVSS.2017.8078470"]}, {"id": "489decd84645b77d31001d17a66abb92bb96c731", "title": "Learning View-Specific Deep Networks for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11333.pdf"], "doi": []}, {"id": "095251493ac774df0a737bb8023cffd036edccd0", "title": "Person Re-identification using prototype formation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7036538"]}, {"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": "7c0ffae3acb0fd0a14ff66b6d474229aa16c53ab", "title": "Covariance Descriptor Multiple Object Tracking and Re-identification with Colorspace Evaluation", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7c0f/fae3acb0fd0a14ff66b6d474229aa16c53ab.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": "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": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.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": "514273063cebe911f0b628d012e9553129181996", "title": "Distributed Implementation for Person Re-Identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7288501"]}, {"id": "688680d9902f688b9ac2d47c399ceebd1014d785", "title": "GIS-supported people tracking re-acquisition in a multi-camera environment", "year": "2014", "pdf": ["http://www.iti.gr/iti/files/document/publications/MUSESUAN_PAPER_7.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7514530", "http://ieeexplore.ieee.org/document/7514530/"]}, {"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": "989d7ee9b43a528f99f33a9f92d16ced735019d1", "title": "Identity Alignment by Noisy Pixel Removal", "year": "2017", "pdf": [], "doi": []}, {"id": "2f43233c1c165f225bb002874dac967736525d85", "title": "Transitive Re-identification", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bb6f/88501d21081387543aa15856e559c59ca725.pdf"], "doi": []}, {"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": "7557e81c1189f0ef9643519e0664d60baed51721", "title": "Robust and Efficient Graph Correspondence Transfer for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06323.pdf"], "doi": []}, {"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": "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": "01381e2faeb26489ae9c24c84c42df33901cfe61", "title": "Multi-scale Deep Learning Architectures for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05165.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": "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": "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "title": "Human tracking over camera networks: a review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/39df/6ca15f41e5a674ed8cd1654e699dbc8b8c11.pdf"], "doi": []}, {"id": "cd041e47807124d2ee9e88cfdfb47491da8c2b13", "title": "Automatic detection of suspicious behavior of pickpockets with track-based features in a shopping mall", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cd04/1e47807124d2ee9e88cfdfb47491da8c2b13.pdf"], "doi": []}, {"id": "a05a770bb2b7778e195a578006482926dfc1af82", "title": "Learning to Recognize Pedestrian Attribute", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.00901.pdf"], "doi": []}, {"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": "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": "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": "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": "212f6bd7163e7175eec7335be8d62249eaaccacc", "title": "Fusion of spatially constrained attributes with kernelized ranking for person re-identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301738", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301738", "http://doi.org/10.1109/AVSS.2015.7301738"]}, {"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": "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": "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": "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": "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": "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": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "07db2bec3691535ad9d8525b4cd0f230ddc6b384", "title": "Covariance based person re-identification using spectral matching", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7030437"]}, {"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": "6752b59da83c03e64c73f9248a67304713b6efa9", "title": "Chapter 3 Re-identification by Covariance Descriptors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6752/b59da83c03e64c73f9248a67304713b6efa9.pdf"], "doi": []}, {"id": "091b4ad74ac5bec206604673506b19838d6a0c52", "title": "Person Re-identification by Saliency Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/091b/4ad74ac5bec206604673506b19838d6a0c52.pdf"], "doi": []}, {"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": "e79aaa36b68cb9e14ab4a6a66028dcb4c79e8681", "title": "Coupled metric learning for single-shot versus single-shot person reidentification", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e79a/aa36b68cb9e14ab4a6a66028dcb4c79e8681.pdf"], "doi": []}, {"id": "70e90b9df5b8617ef6636c5492db727f9d48d0ec", "title": "People Search with Textual Queries About Clothing Appearance Attributes", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/70e9/0b9df5b8617ef6636c5492db727f9d48d0ec.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": "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": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "488e475eeb3bb39a145f23ede197cd3620f1d98a", "title": "Pedestrian Attribute Classification in Surveillance: Database and Evaluation", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755916"]}, {"id": "b0623c1d8493d273d704ba1d0413db0de579ae77", "title": "Attributes-Based Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b062/3c1d8493d273d704ba1d0413db0de579ae77.pdf"], "doi": []}, {"id": "8cd61bb3469aa253d4411ef2295b50683a031d17", "title": "Random Occlusion-recovery for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "3b42de882cfba6766f6ca34d57fb5001f2686f33", "title": "WPSS: Watching people security services", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3b42/de882cfba6766f6ca34d57fb5001f2686f33.pdf"], "doi": []}, {"id": "08d25f86d9ba5d2443bd3852aab01334a3a96dce", "title": "A Multiple Component Matching Framework for Person Re-Identification", "year": "2011", "pdf": ["https://arxiv.org/pdf/1105.2491.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": "33ec945e6a4ae7fe0268ffe142098ea9caf6588f", "title": "Deep Person Re-Identification with Improved Embedding", "year": "2017", "pdf": [], "doi": []}, {"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": "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": "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": "0bd7a9de611ff444be27a3a174364a5146161af0", "title": "Individual 3d face modeling and recognition in a video network", "year": "2012", "pdf": [], "doi": []}, {"id": "89174737423d87258d3b9d5a660236a0bb66a470", "title": "On the usage of Sensor Pattern Noise for Picture-to-Identity linking through social network accounts", "year": "2014", "pdf": ["http://pralab.diee.unica.it/sites/default/files/Satta_VISAPP2014_0.pdf", "http://www.scitepress.org/Papers/2014/46822/46822.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295055", "http://doi.org/10.5220/0004682200050011"]}, {"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": "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": "0a5b2e642683ff20b6f0cee16a32a68ba0099908", "title": "Beyond Mahalanobis distance: Learning second-order discriminant function for people verification", "year": "2012", "pdf": ["https://www.computer.org/csdl/proceedings/cvprw/2012/1611/00/06239342.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239342", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2012.6239342", "http://doi.org/10.1109/CVPRW.2012.6239342"]}, {"id": "3cb1f4c1650f7e55b78abba5a00b56a90b8e0567", "title": "sTrack: Secure Tracking in Community Surveillance", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2655010"]}, {"id": "12138be732a2aa10e4eef460979bec64eb8e4f4c", "title": "Intelligent multi-camera video surveillance: A review", "year": "2013", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/multicam_review.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2012.07.005"]}, {"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": "0fc4d0c328036cc197a48f278f7c15cb12860f3a", "title": "Learning a non-linear combination of Mahalanobis distances using statistical inference for similarity measure", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0011"]}, {"id": "31c0968fb5f587918f1c49bf7fa51453b3e89cf7", "title": "Deep Transfer Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05244.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": "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": "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": "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": "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": "4e9f46a80ffaffa2dabde4fb48d6ac72398ef829", "title": "Deep Hybrid Similarity Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04858.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": "b94e57ee9278f06c65a96ce1b586cb7a5b2b7fbb", "title": "Group Re-identification via Unsupervised Transfer of Sparse Features Encoding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09173.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": "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "title": "Human-In-The-Loop Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01345.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": "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": "00e39fad9846084eb435b6cddd675ee11f2dfb90", "title": "Person Re-identification Using Haar-based and DCD-based Signature", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597340", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2010.68", "http://doi.org/10.1109/AVSS.2010.68"]}, {"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": "58888b30e9123c1b1709be1efa92898e090d7bd2", "title": "Person Re-Identification by Discriminative Selection in Video Ranking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06260.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": "f827c2d22bf74ba6047e265680a48f7279ea24e4", "title": "Multi-camera Trajectory Mining: Database and Evaluation", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICPR2014/Hu-ICPR-14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977514", "http://doi.org/10.1109/ICPR.2014.801"]}, {"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": "0f708ace6f4829e466a8a549bd23f6fcf719ab9d", "title": "Multi-shot person re-identification via relational Stein divergence", "year": "2013", "pdf": ["https://arxiv.org/pdf/1403.0699.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": "42a2b1e7ba92a8b5678ff2bee489a89009a2e913", "title": "Person Re-identification by Multi-resolution Saliency-Weighted Color Histograms and Local Structural Sparse Coding", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6643719", "http://doi.ieeecomputersociety.org/10.1109/ICIG.2013.100", "http://doi.org/10.1109/ICIG.2013.100"]}, {"id": "141fb4af72c7c33f57687f0233f53effc732c3db", "title": "Fast person re-identification based on dissimilarity representations", "year": "2012", "pdf": ["http://pralab.diee.unica.it/sites/default/files/Satta_PRL2012.pdf", "https://www.researchgate.net/profile/Riccardo_Satta/publication/257014911_Fast_person_re-identification_based_on_dissimilarity_representations/links/00b49531de08d2a8eb000000.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2012.03.026"]}, {"id": "ba86c9ea9c0453cb8dbbe3ac1d83afd1e2faa9cd", "title": "Boosted Metric Learning for Efficient Identity-Based Face Retrieval", "year": "2015", "pdf": ["http://www.bmva.org/bmvc/2015/papers/paper139/abstract139.pdf", "http://www.bmva.org/bmvc/2015/papers/paper139/paper139.pdf"], "doi": ["https://doi.org/10.5244/C.29.139", "https://hal.archives-ouvertes.fr/hal-01272248/document"]}, {"id": "107010b7f2abe3c0c9df62bcef35eb77f6fc76df", "title": "Domain-adversarial training of neural networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.07818.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": "35e2fb4a72656cbeb2e9afa140fb01af03815202", "title": "Automatic surveillance in transportation hubs: No longer just about catching the bad guy", "year": "2015", "pdf": ["http://eprints.qut.edu.au/86699/1/elsarticle-template-harv.pdf", "http://isiarticles.com/bundles/Article/pre/pdf/43208.pdf"], "doi": ["http://doi.org/10.1016/j.eswa.2015.08.001", "https://www.wikidata.org/entity/Q56913094"]}, {"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": "b64bf3dab761d27a19f2ff4049691dc47369595d", "title": "Cascade of descriptors to detect and track objects across any network of cameras", "year": "2010", "pdf": ["http://infoscience.epfl.ch/record/129905/files/journal.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2010.01.004"]}, {"id": "d168c2bd29fcad2083586430dd76f54da69bc8a6", "title": "Person Re-Identification by Iterative Re-Weighted Sparse Ranking", "year": "2015", "pdf": ["http://www.cvc.uab.es/LAMP/wp-content/papercite-data/pdf/Bagdanov2015reid.pdf", "http://www.micc.unifi.it/wp-content/uploads/2015/12/2015_person_re-identification.pdf", "https://pdfs.semanticscholar.org/d168/c2bd29fcad2083586430dd76f54da69bc8a6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6951486", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2369055", "http://doi.org/10.1109/TPAMI.2014.2369055", "https://www.ncbi.nlm.nih.gov/pubmed/26353000"]}, {"id": "37b207d2c4a82a57f80e96353f79ecd71320a854", "title": "Person Search with Natural Language Description", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05729.pdf"], "doi": []}, {"id": "7cc97a34c9a5c1c57af1ec48602ff74b4f96b523", "title": "People Re-identification in a Camera Network", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7cc9/7a34c9a5c1c57af1ec48602ff74b4f96b523.pdf"], "doi": []}, {"id": "e2fc290a245d9f5c545e2e92ee8fcaff4908b97f", "title": "Picture-to-Identity linking of social network accounts based on Sensor Pattern Noise", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e2fc/290a245d9f5c545e2e92ee8fcaff4908b97f.pdf"], "doi": []}, {"id": "251da2569036cebc2ea109972f412c5b1a9db20f", "title": "Appearance modeling for person re-identification using Weighted Brightness Transfer Functions", "year": "2012", "pdf": ["http://rogerioferis.com/publications/AnkurICPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460641", "http://ieeexplore.ieee.org/document/6460641/"]}, {"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": "6097ea6fd21a5f86a10a52e6e4dd5b78a436d5bf", "title": "Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.05300.pdf"], "doi": []}, {"id": "e9ce1ab4a1b6204114446cb255c1d7639adc9a80", "title": "On the Importance of the Grid Size for Gender Recognition using Full Body Static Images", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/a680/061bada5be146973798e078e1433b1e7e34f.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"]}]}
\ No newline at end of file +{"id": "6273b3491e94ea4dd1ce42b791d77bdc96ee73a8", "citations": [{"id": "9059188d07fee979f556e3a1fbb6cd76805a6aac", "title": "Real-time tracking and fast retrieval of persons in multiple surveillance cameras of a shopping mall", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9059/188d07fee979f556e3a1fbb6cd76805a6aac.pdf"], "doi": []}, {"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"]}, {"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": "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": "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": "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": "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": "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": "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": "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": "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": "09da5ae17cf1bf382f69036a96ec953c18f676d4", "title": "Person Re-Identification using Deep Foreground Appearance Modelling", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/09da/5ae17cf1bf382f69036a96ec953c18f676d4.pdf"], "doi": []}, {"id": "28103f6c09fd64c90a738076b0681400d4d31c9f", "title": "Color Invariants for Person Reidentification", "year": "2013", "pdf": ["http://www.cs.technion.ac.il/news/2011/452/docs/igor_kviatkovsky.pdf", "http://www.cs.technion.ac.il/users/wwwb/cgi-bin/tr-get.cgi/2012/MSC/MSC-2012-03.pdf", "http://www.cs.technion.ac.il/~kviat/papers/ColorInvariantsForPersonReIdentification_Poster.pdf", "http://www.cs.technion.ac.il/~kviat/papers/IgorKviatkovskyMScThesis.pdf", "http://www.cs.technion.ac.il/~kviat/papers/pamiColorReId.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6357194", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2012.246", "http://doi.org/10.1109/TPAMI.2012.246", "https://www.ncbi.nlm.nih.gov/pubmed/23681991"]}, {"id": "2594bf77a1fef68d86be74a2cb79c55499cb2bec", "title": "Learning Invariant Color Features for Person Reidentification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1410.1035.pdf"], "doi": []}, {"id": "c5c56e9c884ac4070880ac481909bb6b621d2a3f", "title": "Random ensemble metrics for object recognition", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126466", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126466", "http://doi.org/10.1109/ICCV.2011.6126466"]}, {"id": "4cf5437ef31e587435ba1531da9109d714c0ee3e", "title": "Vehicle Re-identification Using Quadruple Directional Deep Learning Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05163.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": "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": "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": "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": "9715aba0688195b2019d510ae3fd8da2e40f6e20", "title": "Evaluation of color spaces for person re-identification", "year": "2012", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/%5B2012%5D%5Bicpr%5DDuYN-1055.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460395", "http://ieeexplore.ieee.org/document/6460395/"]}, {"id": "b2444e837095706998b03fa5fed223411b9d4d55", "title": "Color Based Tracing in Real-Life Surveillance Data", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/b244/4e837095706998b03fa5fed223411b9d4d55.pdf"], "doi": []}, {"id": "46a01565e6afe7c074affb752e7069ee3bf2e4ef", "title": "Local Descriptors Encoded by Fisher Vectors for Person Re-identification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a105/f1ef67b4b02da38eadce8ffb4e13aa301a93.pdf"], "doi": []}, {"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": "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": "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": "2eef20a11324686099ee6f9b1a7613444b0d2112", "title": "Dual-Path Convolutional Image-Text Embedding with Instance Loss", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05535.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": "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": "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": "f727b12c905ac585de60811048c9f9dd4188b498", "title": "R 4-A . 2 : Rapid Forensic Search & Retrieval in Video", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f727/b12c905ac585de60811048c9f9dd4188b498.pdf"], "doi": []}, {"id": "4372ddbf84b8d754ed83229db4ecb3d53ccceb73", "title": "A fast multi-scale covariance descriptor for object re-identification", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2011.09.006"]}, {"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": "a341505614f5693c8b6c15d9801fea9f8d956804", "title": "Color Models and Weighted Covariance Estimation for Person Re-identification", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICPR2014/Yang-ICPR-14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977040", "http://doi.org/10.1109/ICPR.2014.328"]}, {"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": "9e8e9e04bfce59907f7c8a73e03f7ebe034120b8", "title": "Adaptive Minimum Classification Error based KISS Metric Learning for Person Re-identification", "year": "", "pdf": ["https://pdfs.semanticscholar.org/9e8e/9e04bfce59907f7c8a73e03f7ebe034120b8.pdf"], "doi": []}, {"id": "d71cefc30269feaa1de3e330b472a7dc66ec95d3", "title": "Person Re-Identification as Image Retrieval Using Bag of Ensemble Colors", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d71c/efc30269feaa1de3e330b472a7dc66ec95d3.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": "bbaebcc0a2d65dea32fe1cf2a2aa12c65bb1b3da", "title": "Track based relevance feedback for tracing persons in surveillance videos", "year": "2013", "pdf": ["https://ivi.fnwi.uva.nl/isis/publications/2013/MetternichCVIU2013/MetternichCVIU2013.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2012.11.004"]}, {"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": "eaaf411826d129c2a31d997dc3f5f708a8186656", "title": "SDALF: Modeling Human Appearance with Symmetry-Driven Accumulation of Local Features", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/eaaf/411826d129c2a31d997dc3f5f708a8186656.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": "4441f529631a9278f5893f8302c2448039456fd9", "title": "A compact color descriptor for person re-identification with clothing selection from a wardrobe", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177526", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177526", "http://doi.org/10.1109/ICME.2015.7177526"]}, {"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": "471bef061653366ba66a7ac4f29268e8444f146e", "title": "Semi-supervised Component Analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7379656", "http://doi.org/10.1109/SMC.2015.524"]}, {"id": "f10f6c294130c76981f0e584af5811c44636eda5", "title": "The Re-identification Challenge", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/109c/7a377a1160ff36874829e3d0a47e08d7ea5e.pdf"], "doi": []}, {"id": "e27ef52c641c2b5100a1b34fd0b819e84a31b4df", "title": "SARC3D: A New 3D Body Model for People Tracking and Re-identification", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e27e/f52c641c2b5100a1b34fd0b819e84a31b4df.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": "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": "afd29ac2de84c8a6d48232477be018ec57d6f564", "title": "Deep Metric Learning for Practical Person Re-Identification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4979.pdf"], "doi": []}, {"id": "88c5baffa5522ea62ff5d5c41036b92e30d7e3c9", "title": "Who is who at different cameras. People re-identification using Depth Cameras", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/88c5/baffa5522ea62ff5d5c41036b92e30d7e3c9.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": "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": "71dc03d6c837ca9ec1334a63bea24d836de076a0", "title": "Complex Events Recognition under Uncertainty in a Sensor Network.", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.0085.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": "d740a9d099a86e234084234af09c060d736f764c", "title": "Improved Person Re-Identification Using Statistical Approximation", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6411683", "http://doi.org/10.1109/DICTA.2012.6411683"]}, {"id": "1afe5d933b58b4dd982a559cc6ec1d17959239de", "title": "Enhanced canonical correlation analysis with local density for cross-domain visual classification", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001757.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952458", "http://doi.org/10.1109/ICASSP.2017.7952458"]}, {"id": "7a4b4719554ddc46bc962a55f88a9ae475d42097", "title": "Discriminative Image Descriptors for Person Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7a4b/4719554ddc46bc962a55f88a9ae475d42097.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": "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": "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": "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": "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": "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": "9caa7f125d3e861450bc3685699fceeaebea04d8", "title": "Designing Video Surveillance Systems as Services", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9caa/7f125d3e861450bc3685699fceeaebea04d8.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.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": "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": "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": "7c8e64f20b58ddd1fc0e9c972c3eb0fe35b40a6b", "title": "Multiple-shot person re-identification by chromatic and epitomic analyses", "year": "2012", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/PRL2012Cristani.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2011.11.016"]}, {"id": "22a7f1aebdb57eecd64be2a1f03aef25f9b0e9a7", "title": "Attribute-restricted latent topic model for person re-identification", "year": "2012", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/person_reidentification_pr12.pdf", "https://www.ece.nus.edu.sg/stfpage/eleqiz/publications/pdf/person_reidentification_pr12.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2012.05.019"]}, {"id": "acaa89fb6263aef7ad58a37d9cac79c8fcaa29ca", "title": "Person Re-identification in Identity Regression Space", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09695.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": "8e4508e86d838356c9ec4a7011fda5cd1d8d35a3", "title": "Finding suspects in multiple cameras for improved railway protection", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e45/08e86d838356c9ec4a7011fda5cd1d8d35a3.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": "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": "5c9c153f705a02e157adcf49dccf4f1eeb70cf93", "title": "Learning Appearance Transfer for Person Re-identification", "year": "2014", "pdf": ["http://www.cs.technion.ac.il/~tammya/Publications/AvrahamLindenbaumREIDchapter2014.pdf"], "doi": ["http://doi.org/10.1007/978-1-4471-6296-4_11"]}, {"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": "f8ebba8188c9f6b1688ba7ba76f297215e6cc7c7", "title": "Triplet-Based Deep Similarity Learning for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.03254.pdf"], "doi": []}, {"id": "88dddb8ea1bc1ad08598e232a67f2bbfbcf3d6ba", "title": "Shinpuhkan2014: A Multi-Camera Pedestrian Dataset for Tracking People across Multiple Cameras", "year": "2014", "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": "ec6340adb88d8443343e0f66f846a8c8c79ebb6f", "title": "Person Re-identification Using Spatial Covariance Regions of Human Body Parts", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Francois_Bremond/publication/224181516_Person_Re-identification_Using_Spatial_Covariance_Regions_of_Human_Body_Parts/links/00b495214e3ee02970000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597114", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2010.34", "http://doi.org/10.1109/AVSS.2010.34"]}, {"id": "0f25aa473e808de72c6975fdb1e3e65180a38c05", "title": "Bag of Soft Biometrics for Person Identification New trends and challenges", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0f25/aa473e808de72c6975fdb1e3e65180a38c05.pdf"], "doi": []}, {"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": "b63411ed70ba315b87a716e1809faea48e70a982", "title": "A Survey on Object Detect , Track and Identify Using Video Surveillance", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b634/11ed70ba315b87a716e1809faea48e70a982.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": "816c1925de9e8557fa70ec67d0ff71a5059eb931", "title": "Person Re-identification by Articulated Appearance Matching", "year": "2014", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/CristaniChapterRe-IDCustom2013.pdf"], "doi": ["http://doi.org/10.1007/978-1-4471-6296-4_7"]}, {"id": "7ac25c5391251611696d16e677bd71040d80d583", "title": "Person Re-Identification by Saliency Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.1908.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": "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": "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": "37a1937691f69fc4b07fc5229c4d2756d2cf41f1", "title": "A Pedestrian Re-Identification Method Based on Multi-Feature Fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8110252"]}, {"id": "260081528f19f6f7e8e5ae16a776b62ad8c2ed0d", "title": "An Agent Based WCET Analysis for Top-View Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2600/81528f19f6f7e8e5ae16a776b62ad8c2ed0d.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": "d737048ceaa81eb59ef2e4cebe2faffe1f19da8f", "title": "Characterizing Humans on Riemannian Manifolds", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6381419", "http://doi.org/10.1109/TPAMI.2012.263", "https://www.ncbi.nlm.nih.gov/pubmed/23787347", "https://www.wikidata.org/entity/Q45279685"]}, {"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": "360a590703542f2ba345b432416398b6dad9e3fb", "title": "Multimodal Person Reidentification Using RGB-D Cameras", "year": "2016", "pdf": ["https://pralab.diee.unica.it/sites/default/files/Pala_IEEE_TCSVT2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7088601", "http://doi.org/10.1109/TCSVT.2015.2424056"]}, {"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": "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": "2084e54505cfe4fd81005167b1b11d10b5f837d1", "title": "Person Re-Identification by Discriminative Selection in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d43f/4cd42c17c6f0ae0186fef0d98eaef2044f31.pdf"], "doi": []}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "3d7fce66c1880f4b29171e415cfad57d8b96ced2", "title": "Exploiting Ambiguities in the Analysis of Cumulative Matching Curves for Person Re-identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3d7f/ce66c1880f4b29171e415cfad57d8b96ced2.pdf"], "doi": []}, {"id": "2868622003cbfd5cfc817cb57896298c0858b166", "title": "BIFOCAL STEREO FOR MULTIPATH PERSON RE-IDENTIFICATION", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2868/622003cbfd5cfc817cb57896298c0858b166.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": "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": "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": "3454e7bc68713f03000e6eeaab67d6401ba24531", "title": "Transferring attributes for person re-identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301803", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301803", "http://doi.org/10.1109/AVSS.2015.7301803"]}, {"id": "5a677694e23fc36c08e3752e9428fb2b90ab0397", "title": "Multi-attribute Residual Network (MAResNet) for Soft-Biometrics Recognition in Surveillance Scenarios", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961767", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.55", "http://doi.org/10.1109/FG.2017.55"]}, {"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": "ae936628e78db4edb8e66853f59433b8cc83594f", "title": "PRISM: Person Reidentification via Structured Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1406.4444.pdf"], "doi": []}, {"id": "b0b43cc7c42cf4a44ea9040455ec40744b3e0d21", "title": "Re-identifying People Based on Indexing Structure and Manifold Appearance Modeling", "year": "2013", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2015/06/paper_2013_SIBGRAPI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6656189", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2013.38", "http://doi.org/10.1109/SIBGRAPI.2013.38"]}, {"id": "c038186138b76a625500ff84c9dadb18aae29f1c", "title": "Learning Implicit Transfer for Person Re-identification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c038/186138b76a625500ff84c9dadb18aae29f1c.pdf"], "doi": []}, {"id": "21fc82d819d2a1a70465471be67260a1d6c0982e", "title": "Kernelized random KISS metric learning for person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.064"]}, {"id": "3e9ab40e6e23f09d16c852b74d40264067ac6abc", "title": "Learning Locally-Adaptive Decision Functions for Person Verification", "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/zhenli_cvpr13-camera-check.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d610.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_Locally-Adaptive_Decision_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~chang87/papers/cvpr_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619307", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.463", "http://doi.org/10.1109/CVPR.2013.463"]}, {"id": "1da19761c5b36e3169e7c7e9d2b2c519b5276691", "title": "Person Re-Identification by Common-Near-Neighbor Analysis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1da1/9761c5b36e3169e7c7e9d2b2c519b5276691.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": "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": "2aacfcdc5d06c86901852f7b666d17e97822ba23", "title": "BiCov: a novel image representation for person re-identification and face verification", "year": "2012", "pdf": ["http://www.bmva.org/bmvc/2012/BMVC/paper057/abstract057.pdf", "http://www.bmva.org/bmvc/2012/BMVC/paper057/paper057.pdf", "http://www.jdl.ac.cn/user/bpma/homepage/Paper/BMVC2012_BiCov%20a%20novel%20image%20representation%20for%20person%20re-identification%20and%20face%20verification.pdf"], "doi": ["http://doi.org/10.5244/C.26.57", "https://hal.archives-ouvertes.fr/hal-00806112/document"]}, {"id": "ce51d6533f4ef7f2c7dc417342b7e72211c4c516", "title": "Human Gait Recognition using Deep Neural Networks", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2905192"]}, {"id": "47022785c35735a242dbacd4f1f1bb73628493ea", "title": "Person Retrieval Based on Viewpoint Saliency Prior", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4702/2785c35735a242dbacd4f1f1bb73628493ea.pdf"], "doi": []}, {"id": "5a08b451b0397782d81edb5b614bb2a523c6be98", "title": "Learning Correspondence Structures for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06931.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": "e4fbd2f5b2068016aba3f3ef6f9bffd695b3a729", "title": "Exploiting Gaussian mixture importance for person re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078470", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078470", "http://doi.org/10.1109/AVSS.2017.8078470"]}, {"id": "489decd84645b77d31001d17a66abb92bb96c731", "title": "Learning View-Specific Deep Networks for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11333.pdf"], "doi": []}, {"id": "095251493ac774df0a737bb8023cffd036edccd0", "title": "Person Re-identification using prototype formation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7036538"]}, {"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": "7c0ffae3acb0fd0a14ff66b6d474229aa16c53ab", "title": "Covariance Descriptor Multiple Object Tracking and Re-identification with Colorspace Evaluation", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7c0f/fae3acb0fd0a14ff66b6d474229aa16c53ab.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": "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": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.pdf"], "doi": []}, {"id": "514273063cebe911f0b628d012e9553129181996", "title": "Distributed Implementation for Person Re-Identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7288501"]}, {"id": "688680d9902f688b9ac2d47c399ceebd1014d785", "title": "GIS-supported people tracking re-acquisition in a multi-camera environment", "year": "2014", "pdf": ["http://www.iti.gr/iti/files/document/publications/MUSESUAN_PAPER_7.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7514530", "http://ieeexplore.ieee.org/document/7514530/"]}, {"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": "989d7ee9b43a528f99f33a9f92d16ced735019d1", "title": "Identity Alignment by Noisy Pixel Removal", "year": "2017", "pdf": [], "doi": []}, {"id": "2f43233c1c165f225bb002874dac967736525d85", "title": "Transitive Re-identification", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bb6f/88501d21081387543aa15856e559c59ca725.pdf"], "doi": []}, {"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": "7557e81c1189f0ef9643519e0664d60baed51721", "title": "Robust and Efficient Graph Correspondence Transfer for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06323.pdf"], "doi": []}, {"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": "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": "01381e2faeb26489ae9c24c84c42df33901cfe61", "title": "Multi-scale Deep Learning Architectures for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05165.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": "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": "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "title": "Human tracking over camera networks: a review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/39df/6ca15f41e5a674ed8cd1654e699dbc8b8c11.pdf"], "doi": []}, {"id": "cd041e47807124d2ee9e88cfdfb47491da8c2b13", "title": "Automatic detection of suspicious behavior of pickpockets with track-based features in a shopping mall", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cd04/1e47807124d2ee9e88cfdfb47491da8c2b13.pdf"], "doi": []}, {"id": "a05a770bb2b7778e195a578006482926dfc1af82", "title": "Learning to Recognize Pedestrian Attribute", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.00901.pdf"], "doi": []}, {"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": "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": "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": "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": "212f6bd7163e7175eec7335be8d62249eaaccacc", "title": "Fusion of spatially constrained attributes with kernelized ranking for person re-identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301738", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301738", "http://doi.org/10.1109/AVSS.2015.7301738"]}, {"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": "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": "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": "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": "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": "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": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "07db2bec3691535ad9d8525b4cd0f230ddc6b384", "title": "Covariance based person re-identification using spectral matching", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7030437"]}, {"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": "6752b59da83c03e64c73f9248a67304713b6efa9", "title": "Chapter 3 Re-identification by Covariance Descriptors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6752/b59da83c03e64c73f9248a67304713b6efa9.pdf"], "doi": []}, {"id": "091b4ad74ac5bec206604673506b19838d6a0c52", "title": "Person Re-identification by Saliency Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/091b/4ad74ac5bec206604673506b19838d6a0c52.pdf"], "doi": []}, {"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": "e79aaa36b68cb9e14ab4a6a66028dcb4c79e8681", "title": "Coupled metric learning for single-shot versus single-shot person reidentification", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e79a/aa36b68cb9e14ab4a6a66028dcb4c79e8681.pdf"], "doi": []}, {"id": "70e90b9df5b8617ef6636c5492db727f9d48d0ec", "title": "People Search with Textual Queries About Clothing Appearance Attributes", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/70e9/0b9df5b8617ef6636c5492db727f9d48d0ec.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": "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": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "488e475eeb3bb39a145f23ede197cd3620f1d98a", "title": "Pedestrian Attribute Classification in Surveillance: Database and Evaluation", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755916"]}, {"id": "b0623c1d8493d273d704ba1d0413db0de579ae77", "title": "Attributes-Based Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b062/3c1d8493d273d704ba1d0413db0de579ae77.pdf"], "doi": []}, {"id": "8cd61bb3469aa253d4411ef2295b50683a031d17", "title": "Random Occlusion-recovery for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"], "doi": []}, {"id": "3b42de882cfba6766f6ca34d57fb5001f2686f33", "title": "WPSS: Watching people security services", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3b42/de882cfba6766f6ca34d57fb5001f2686f33.pdf"], "doi": []}, {"id": "08d25f86d9ba5d2443bd3852aab01334a3a96dce", "title": "A Multiple Component Matching Framework for Person Re-Identification", "year": "2011", "pdf": ["https://arxiv.org/pdf/1105.2491.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": "33ec945e6a4ae7fe0268ffe142098ea9caf6588f", "title": "Deep Person Re-Identification with Improved Embedding", "year": "2017", "pdf": [], "doi": []}, {"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": "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": "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": "0bd7a9de611ff444be27a3a174364a5146161af0", "title": "Individual 3d face modeling and recognition in a video network", "year": "2012", "pdf": [], "doi": []}, {"id": "89174737423d87258d3b9d5a660236a0bb66a470", "title": "On the usage of Sensor Pattern Noise for Picture-to-Identity linking through social network accounts", "year": "2014", "pdf": ["http://pralab.diee.unica.it/sites/default/files/Satta_VISAPP2014_0.pdf", "http://www.scitepress.org/Papers/2014/46822/46822.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295055", "http://doi.org/10.5220/0004682200050011"]}, {"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": "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": "0a5b2e642683ff20b6f0cee16a32a68ba0099908", "title": "Beyond Mahalanobis distance: Learning second-order discriminant function for people verification", "year": "2012", "pdf": ["https://www.computer.org/csdl/proceedings/cvprw/2012/1611/00/06239342.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239342", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2012.6239342", "http://doi.org/10.1109/CVPRW.2012.6239342"]}, {"id": "3cb1f4c1650f7e55b78abba5a00b56a90b8e0567", "title": "sTrack: Secure Tracking in Community Surveillance", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2655010"]}, {"id": "12138be732a2aa10e4eef460979bec64eb8e4f4c", "title": "Intelligent multi-camera video surveillance: A review", "year": "2013", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/multicam_review.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2012.07.005"]}, {"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": "0fc4d0c328036cc197a48f278f7c15cb12860f3a", "title": "Learning a non-linear combination of Mahalanobis distances using statistical inference for similarity measure", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0011"]}, {"id": "31c0968fb5f587918f1c49bf7fa51453b3e89cf7", "title": "Deep Transfer Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05244.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": "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": "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": "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": "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": "4e9f46a80ffaffa2dabde4fb48d6ac72398ef829", "title": "Deep Hybrid Similarity Learning for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04858.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": "b94e57ee9278f06c65a96ce1b586cb7a5b2b7fbb", "title": "Group Re-identification via Unsupervised Transfer of Sparse Features Encoding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09173.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": "7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d", "title": "Human-In-The-Loop Person Re-Identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.01345.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": "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": "00e39fad9846084eb435b6cddd675ee11f2dfb90", "title": "Person Re-identification Using Haar-based and DCD-based Signature", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597340", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2010.68", "http://doi.org/10.1109/AVSS.2010.68"]}, {"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": "58888b30e9123c1b1709be1efa92898e090d7bd2", "title": "Person Re-Identification by Discriminative Selection in Video Ranking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06260.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": "f827c2d22bf74ba6047e265680a48f7279ea24e4", "title": "Multi-camera Trajectory Mining: Database and Evaluation", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICPR2014/Hu-ICPR-14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977514", "http://doi.org/10.1109/ICPR.2014.801"]}, {"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": "0f708ace6f4829e466a8a549bd23f6fcf719ab9d", "title": "Multi-shot person re-identification via relational Stein divergence", "year": "2013", "pdf": ["https://arxiv.org/pdf/1403.0699.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": "42a2b1e7ba92a8b5678ff2bee489a89009a2e913", "title": "Person Re-identification by Multi-resolution Saliency-Weighted Color Histograms and Local Structural Sparse Coding", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6643719", "http://doi.ieeecomputersociety.org/10.1109/ICIG.2013.100", "http://doi.org/10.1109/ICIG.2013.100"]}, {"id": "141fb4af72c7c33f57687f0233f53effc732c3db", "title": "Fast person re-identification based on dissimilarity representations", "year": "2012", "pdf": ["http://pralab.diee.unica.it/sites/default/files/Satta_PRL2012.pdf", "https://www.researchgate.net/profile/Riccardo_Satta/publication/257014911_Fast_person_re-identification_based_on_dissimilarity_representations/links/00b49531de08d2a8eb000000.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2012.03.026"]}, {"id": "ba86c9ea9c0453cb8dbbe3ac1d83afd1e2faa9cd", "title": "Boosted Metric Learning for Efficient Identity-Based Face Retrieval", "year": "2015", "pdf": ["http://www.bmva.org/bmvc/2015/papers/paper139/abstract139.pdf", "http://www.bmva.org/bmvc/2015/papers/paper139/paper139.pdf"], "doi": ["https://doi.org/10.5244/C.29.139", "https://hal.archives-ouvertes.fr/hal-01272248/document"]}, {"id": "107010b7f2abe3c0c9df62bcef35eb77f6fc76df", "title": "Domain-adversarial training of neural networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.07818.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": "35e2fb4a72656cbeb2e9afa140fb01af03815202", "title": "Automatic surveillance in transportation hubs: No longer just about catching the bad guy", "year": "2015", "pdf": ["http://eprints.qut.edu.au/86699/1/elsarticle-template-harv.pdf", "http://isiarticles.com/bundles/Article/pre/pdf/43208.pdf"], "doi": ["http://doi.org/10.1016/j.eswa.2015.08.001", "https://www.wikidata.org/entity/Q56913094"]}, {"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": "b64bf3dab761d27a19f2ff4049691dc47369595d", "title": "Cascade of descriptors to detect and track objects across any network of cameras", "year": "2010", "pdf": ["http://infoscience.epfl.ch/record/129905/files/journal.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2010.01.004"]}, {"id": "d168c2bd29fcad2083586430dd76f54da69bc8a6", "title": "Person Re-Identification by Iterative Re-Weighted Sparse Ranking", "year": "2015", "pdf": ["http://www.cvc.uab.es/LAMP/wp-content/papercite-data/pdf/Bagdanov2015reid.pdf", "http://www.micc.unifi.it/wp-content/uploads/2015/12/2015_person_re-identification.pdf", "https://pdfs.semanticscholar.org/d168/c2bd29fcad2083586430dd76f54da69bc8a6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6951486", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2369055", "http://doi.org/10.1109/TPAMI.2014.2369055", "https://www.ncbi.nlm.nih.gov/pubmed/26353000"]}, {"id": "37b207d2c4a82a57f80e96353f79ecd71320a854", "title": "Person Search with Natural Language Description", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05729.pdf"], "doi": []}, {"id": "7cc97a34c9a5c1c57af1ec48602ff74b4f96b523", "title": "People Re-identification in a Camera Network", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7cc9/7a34c9a5c1c57af1ec48602ff74b4f96b523.pdf"], "doi": []}, {"id": "e2fc290a245d9f5c545e2e92ee8fcaff4908b97f", "title": "Picture-to-Identity linking of social network accounts based on Sensor Pattern Noise", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e2fc/290a245d9f5c545e2e92ee8fcaff4908b97f.pdf"], "doi": []}, {"id": "251da2569036cebc2ea109972f412c5b1a9db20f", "title": "Appearance modeling for person re-identification using Weighted Brightness Transfer Functions", "year": "2012", "pdf": ["http://rogerioferis.com/publications/AnkurICPR2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460641", "http://ieeexplore.ieee.org/document/6460641/"]}, {"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": "6097ea6fd21a5f86a10a52e6e4dd5b78a436d5bf", "title": "Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.05300.pdf"], "doi": []}, {"id": "e9ce1ab4a1b6204114446cb255c1d7639adc9a80", "title": "On the Importance of the Grid Size for Gender Recognition using Full Body Static Images", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/a680/061bada5be146973798e078e1433b1e7e34f.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"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/wider_face.json b/site/datasets/unknown/wider_face.json index a5a589f7..3550083c 100644 --- a/site/datasets/unknown/wider_face.json +++ b/site/datasets/unknown/wider_face.json @@ -1 +1 @@ -{"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "citations": [{"id": "0c36c988acc9ec239953ff1b3931799af388ef70", "title": "Face Detection Using Improved Faster RCNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02142.pdf"], "doi": []}, {"id": "c6ea6fee4823b511eecf41f6c2574a0728055baf", "title": "HoloFace: Augmenting Human-to-Human Interactions on HoloLens", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00278.pdf"], "doi": []}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "8d4f0517eae232913bf27f516101a75da3249d15", "title": "Event-based Dynamic Face Detection and Tracking Based on Activity.", "year": "2018", "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": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "b1d89015f9b16515735d4140c84b0bacbbef19ac", "title": "Too Far to See? Not Really!\u2014Pedestrian Detection With Scale-Aware Localization Policy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.00235.pdf"], "doi": []}, {"id": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "795aa8064b34c4bf4acdd8be3f1e5d06da5a7756", "title": "Face-MagNet: Magnifying Feature Maps to Detect Small Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05258.pdf"], "doi": []}, {"id": "2e7cb40e06e6653027c6eae8353423513a116865", "title": "Hierarchical Network for Facial Palsy Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575249"]}, {"id": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "7f5b379b12505d60f9303aab1fea48515d36d098", "title": "Performance Comparison of Deep Learning Techniques for Recognizing Birds in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411873", "http://doi.ieeecomputersociety.org/10.1109/DSC.2018.00052", "http://doi.org/10.1109/DSC.2018.00052"]}, {"id": "2f16459e2e24dc91b3b4cac7c6294387d4a0eacf", "title": "Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining", "year": "2018", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2017/triantafyllidou_nousi_tefas_big_data_and_neural_networks.pdf"], "doi": ["http://doi.org/10.1016/j.bdr.2017.06.002"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "13b91ecf02ffeb91497b45a890732818052f5541", "title": "Finding Tiny Faces in the Wild with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578108"]}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "84dcf04802743d9907b5b3ae28b19cbbacd97981", "title": "Face Detection using Deep Learning: An Improved Faster RCNN Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08289.pdf"], "doi": []}, {"id": "774c9a3d7a38060550ed47ce8a3e4177fa1115e1", "title": "Improving Face Detection Performance with 3D-Rendered Synthetic Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07363.pdf"], "doi": []}, {"id": "be892645c24f800b9b615b496172cd9fac8d5fe8", "title": "Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578686"]}, {"id": "f276d79e428183b457875dcccf2442c7832093bb", "title": "Deep Hierarchical Network With Line Segment Learning for Quantitative Analysis of Facial Palsy", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8558494", "http://doi.org/10.1109/ACCESS.2018.2884969"]}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "544c5a8d30cd39b7797105b1e7c7e79264c1b1c3", "title": "Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578342"]}, {"id": "96faccdddef887673d6007fed8ff2574580cae1f", "title": "Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained \"Hard Faces\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09145.pdf"], "doi": []}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "4e27fec1703408d524d6b7ed805cdb6cba6ca132", "title": "SSD-Sface: Single shot multibox detector for small faces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7714/a5aa27ab5ad4d06a81fbb3e973d3b1002ac1.pdf"], "doi": []}, {"id": "e065a2cb4534492ccf46d0afc81b9ad8b420c5ec", "title": "SFace: An Efficient Network for Face Detection in Large Scale Variations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06559.pdf"], "doi": []}, {"id": "d07284a6811f1b2745d91bdb06b040b57f226882", "title": "DECOUPLED WEIGHT DECAY REGULARIZATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d072/84a6811f1b2745d91bdb06b040b57f226882.pdf"], "doi": []}, {"id": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "3b483c986b973856e016f761ec312c1a339766a5", "title": "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578516"]}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "ad75879082132a73fe173a890a0f414f2c279739", "title": "A comparison of CNN-based face and head detectors for real-time video surveillance applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1809.03336.pdf"], "doi": []}, {"id": "25a784f7f8c94c42821ee078587fc38dffcd00a4", "title": "Robust Face Detection via Learning Small Faces on Hard Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11662.pdf"], "doi": []}, {"id": "032825000c03b8ab4c207e1af4daeb1f225eb025", "title": "A Novel Approach for Human Face Detection in Color Images Using Skin Color and Golden Ratio", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0328/25000c03b8ab4c207e1af4daeb1f225eb025.pdf"], "doi": []}, {"id": "7e1d2befac6946112cd80652d0c2b962e3c0d342", "title": "FA-RPN: Floating Region Proposals for Face Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05586.pdf"], "doi": []}, {"id": "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "title": "Detecting Faces Using Inside Cascaded Contextual CNN", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhang_Detecting_Faces_Using_ICCV_2017_paper.pdf", "https://ai.tencent.com/ailab/media/publications/Detecting_Faces_Using_Inside_Cascaded_Contextual_CNN.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237606", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.344", "http://doi.org/10.1109/ICCV.2017.344"]}, {"id": "24d376e4d580fb28fd66bc5e7681f1a8db3b6b78", "title": "Multi-Branch Fully Convolutional Network for Face Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06330.pdf"], "doi": []}, {"id": "981449cdd5b820268c0876477419cba50d5d1316", "title": "Learning Deep Features for One-Class Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05365.pdf"], "doi": []}, {"id": "bdfcc45cfa495939789b73eec7e6e98a4d7e3f41", "title": "A Real-Time Face Detector Based on an End-to-End CNN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275797"]}, {"id": "6962505b78d0cec04b992a059cc58870c361c971", "title": "Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.00218.pdf"], "doi": []}, {"id": "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "title": "Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581e/920ddb6ecfc2a313a3aa6fed3d933b917ab0.pdf"], "doi": []}, {"id": "9a90ce38c5ad0fdfd18463a5ad8ff76ff625229e", "title": "IFQ-Net: Integrated Fixed-Point Quantization Networks for Embedded Vision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575253"]}, {"id": "d83583562f3536d5c13f8ca58925362f6878f5f4", "title": "Enhance Visual Recognition under Adverse Conditions via Deep Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07732.pdf"], "doi": []}, {"id": "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "title": "PyramidBox: A Context-assisted Single Shot Face Detector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07737.pdf"], "doi": []}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "aafeb3d76155ec28e8ab6b4d063105d5e04e471d", "title": "Reconstructing Intensity Images from Binary Spatial Gradient Cameras", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w4/papers/Jayasuriya_Reconstructing_Intensity_Images_CVPR_2017_paper.pdf", "http://www.andrew.cmu.edu/user/sjayasur/gradcam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014781", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.47", "http://doi.org/10.1109/CVPRW.2017.47"]}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "c82028f8fc6762e4f02a0001cf9d85e316274598", "title": "Seeing Small Faces from Robust Anchor's Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578636"]}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.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": "53c0ebe6bbdfc7b4718928b1d2f0a09ce899c741", "title": "Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12296.pdf"], "doi": []}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "d689063294e217f1ec8b83fe4b60e706f1934787", "title": "Simultaneous Face Detection and Pose Estimation Using Convolutional Neural Network Cascade", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8458127", "http://doi.org/10.1109/ACCESS.2018.2869465"]}, {"id": "5c3fd194ba96c5eea41c0772ad0b2292dedcd197", "title": "Understanding the Energy Saving Potential of Smart Scale Selection in the Viola and Jones Facial Detection Algorithm", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5c3f/d194ba96c5eea41c0772ad0b2292dedcd197.pdf"], "doi": []}, {"id": "64c75774bead5c188405fd5c800a4b47103bc548", "title": "An Evaluation of Convolutional Neural Network Models for Object Detection in Images on Low-End Devices", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/64c7/5774bead5c188405fd5c800a4b47103bc548.pdf"], "doi": []}, {"id": "3a1c40eced07d59a3ea7acda94fa833c493909c1", "title": "AUMPNet: Simultaneous Action Units Detection and Intensity Estimation on Multipose Facial Images Using a Single Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961834", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.111", "http://doi.org/10.1109/FG.2017.111"]}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "citations": [{"id": "0c36c988acc9ec239953ff1b3931799af388ef70", "title": "Face Detection Using Improved Faster RCNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02142.pdf"], "doi": []}, {"id": "c6ea6fee4823b511eecf41f6c2574a0728055baf", "title": "HoloFace: Augmenting Human-to-Human Interactions on HoloLens", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00278.pdf"], "doi": []}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "8d4f0517eae232913bf27f516101a75da3249d15", "title": "Event-based Dynamic Face Detection and Tracking Based on Activity.", "year": "2018", "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": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"id": "b1d89015f9b16515735d4140c84b0bacbbef19ac", "title": "Too Far to See? Not Really!\u2014Pedestrian Detection With Scale-Aware Localization Policy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.00235.pdf"], "doi": []}, {"id": "17c0d99171efc957b88c31a465c59485ab033234", "title": "To learn image super-resolution, use a GAN to learn how to do image degradation first", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11458.pdf"], "doi": []}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Bai_Multi-Scale_Fully_Convolutional_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014993", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.259", "http://doi.org/10.1109/CVPRW.2017.259"]}, {"id": "795aa8064b34c4bf4acdd8be3f1e5d06da5a7756", "title": "Face-MagNet: Magnifying Feature Maps to Detect Small Faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05258.pdf"], "doi": []}, {"id": "2e7cb40e06e6653027c6eae8353423513a116865", "title": "Hierarchical Network for Facial Palsy Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575249"]}, {"id": "15ebec3796a2e23d31c8c8ddf6d21555be6eadc6", "title": "Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03193.pdf"], "doi": []}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099536"]}, {"id": "7f5b379b12505d60f9303aab1fea48515d36d098", "title": "Performance Comparison of Deep Learning Techniques for Recognizing Birds in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411873", "http://doi.ieeecomputersociety.org/10.1109/DSC.2018.00052", "http://doi.org/10.1109/DSC.2018.00052"]}, {"id": "2f16459e2e24dc91b3b4cac7c6294387d4a0eacf", "title": "Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining", "year": "2018", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2017/triantafyllidou_nousi_tefas_big_data_and_neural_networks.pdf"], "doi": ["http://doi.org/10.1016/j.bdr.2017.06.002"]}, {"id": "13b91ecf02ffeb91497b45a890732818052f5541", "title": "Finding Tiny Faces in the Wild with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578108"]}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"], "doi": []}, {"id": "84dcf04802743d9907b5b3ae28b19cbbacd97981", "title": "Face Detection using Deep Learning: An Improved Faster RCNN Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08289.pdf"], "doi": []}, {"id": "774c9a3d7a38060550ed47ce8a3e4177fa1115e1", "title": "Improving Face Detection Performance with 3D-Rendered Synthetic Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07363.pdf"], "doi": []}, {"id": "be892645c24f800b9b615b496172cd9fac8d5fe8", "title": "Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578686"]}, {"id": "f276d79e428183b457875dcccf2442c7832093bb", "title": "Deep Hierarchical Network With Line Segment Learning for Quantitative Analysis of Facial Palsy", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8558494", "http://doi.org/10.1109/ACCESS.2018.2884969"]}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "544c5a8d30cd39b7797105b1e7c7e79264c1b1c3", "title": "Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578342"]}, {"id": "96faccdddef887673d6007fed8ff2574580cae1f", "title": "Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained \"Hard Faces\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09145.pdf"], "doi": []}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575244"]}, {"id": "4e27fec1703408d524d6b7ed805cdb6cba6ca132", "title": "SSD-Sface: Single shot multibox detector for small faces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7714/a5aa27ab5ad4d06a81fbb3e973d3b1002ac1.pdf"], "doi": []}, {"id": "e065a2cb4534492ccf46d0afc81b9ad8b420c5ec", "title": "SFace: An Efficient Network for Face Detection in Large Scale Variations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06559.pdf"], "doi": []}, {"id": "d07284a6811f1b2745d91bdb06b040b57f226882", "title": "DECOUPLED WEIGHT DECAY REGULARIZATION", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d072/84a6811f1b2745d91bdb06b040b57f226882.pdf"], "doi": []}, {"id": "614a7c42aae8946c7ad4c36b53290860f6256441", "title": "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02878.pdf"], "doi": []}, {"id": "3b483c986b973856e016f761ec312c1a339766a5", "title": "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578516"]}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "ad75879082132a73fe173a890a0f414f2c279739", "title": "A comparison of CNN-based face and head detectors for real-time video surveillance applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1809.03336.pdf"], "doi": []}, {"id": "25a784f7f8c94c42821ee078587fc38dffcd00a4", "title": "Robust Face Detection via Learning Small Faces on Hard Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11662.pdf"], "doi": []}, {"id": "032825000c03b8ab4c207e1af4daeb1f225eb025", "title": "A Novel Approach for Human Face Detection in Color Images Using Skin Color and Golden Ratio", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0328/25000c03b8ab4c207e1af4daeb1f225eb025.pdf"], "doi": []}, {"id": "7e1d2befac6946112cd80652d0c2b962e3c0d342", "title": "FA-RPN: Floating Region Proposals for Face Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05586.pdf"], "doi": []}, {"id": "c9c9ade2ef4dffb7582a629a47ea70c31be7a35e", "title": "Detecting Faces Using Inside Cascaded Contextual CNN", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhang_Detecting_Faces_Using_ICCV_2017_paper.pdf", "https://ai.tencent.com/ailab/media/publications/Detecting_Faces_Using_Inside_Cascaded_Contextual_CNN.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237606", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.344", "http://doi.org/10.1109/ICCV.2017.344"]}, {"id": "24d376e4d580fb28fd66bc5e7681f1a8db3b6b78", "title": "Multi-Branch Fully Convolutional Network for Face Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06330.pdf"], "doi": []}, {"id": "981449cdd5b820268c0876477419cba50d5d1316", "title": "Learning Deep Features for One-Class Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05365.pdf"], "doi": []}, {"id": "bdfcc45cfa495939789b73eec7e6e98a4d7e3f41", "title": "A Real-Time Face Detector Based on an End-to-End CNN", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8275797"]}, {"id": "6962505b78d0cec04b992a059cc58870c361c971", "title": "Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.00218.pdf"], "doi": []}, {"id": "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "title": "Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581e/920ddb6ecfc2a313a3aa6fed3d933b917ab0.pdf"], "doi": []}, {"id": "9a90ce38c5ad0fdfd18463a5ad8ff76ff625229e", "title": "IFQ-Net: Integrated Fixed-Point Quantization Networks for Embedded Vision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575253"]}, {"id": "d83583562f3536d5c13f8ca58925362f6878f5f4", "title": "Enhance Visual Recognition under Adverse Conditions via Deep Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07732.pdf"], "doi": []}, {"id": "58bf72750a8f5100e0c01e55fd1b959b31e7dbce", "title": "PyramidBox: A Context-assisted Single Shot Face Detector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07737.pdf"], "doi": []}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "aafeb3d76155ec28e8ab6b4d063105d5e04e471d", "title": "Reconstructing Intensity Images from Binary Spatial Gradient Cameras", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w4/papers/Jayasuriya_Reconstructing_Intensity_Images_CVPR_2017_paper.pdf", "http://www.andrew.cmu.edu/user/sjayasur/gradcam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014781", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.47", "http://doi.org/10.1109/CVPRW.2017.47"]}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "c82028f8fc6762e4f02a0001cf9d85e316274598", "title": "Seeing Small Faces from Robust Anchor's Perspective", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578636"]}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.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": "53c0ebe6bbdfc7b4718928b1d2f0a09ce899c741", "title": "Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12296.pdf"], "doi": []}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"], "doi": []}, {"id": "83d5721eb59461a55fc5e63805d0a83155746ece", "title": "FaceOff: Anonymizing Videos in the Operating Rooms", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04440.pdf"], "doi": []}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "405d9a71350c9a13adea41f9d7f7f9274793824f", "title": "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373834", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00041", "http://doi.org/10.1109/FG.2018.00041"]}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "d689063294e217f1ec8b83fe4b60e706f1934787", "title": "Simultaneous Face Detection and Pose Estimation Using Convolutional Neural Network Cascade", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8458127", "http://doi.org/10.1109/ACCESS.2018.2869465"]}, {"id": "5c3fd194ba96c5eea41c0772ad0b2292dedcd197", "title": "Understanding the Energy Saving Potential of Smart Scale Selection in the Viola and Jones Facial Detection Algorithm", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5c3f/d194ba96c5eea41c0772ad0b2292dedcd197.pdf"], "doi": []}, {"id": "64c75774bead5c188405fd5c800a4b47103bc548", "title": "An Evaluation of Convolutional Neural Network Models for Object Detection in Images on Low-End Devices", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/64c7/5774bead5c188405fd5c800a4b47103bc548.pdf"], "doi": []}, {"id": "3a1c40eced07d59a3ea7acda94fa833c493909c1", "title": "AUMPNet: Simultaneous Action Units Detection and Intensity Estimation on Multipose Facial Images Using a Single Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961834", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.111", "http://doi.org/10.1109/FG.2017.111"]}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/youtube_celebrities.json b/site/datasets/unknown/youtube_celebrities.json index 842ac881..221d4e77 100644 --- a/site/datasets/unknown/youtube_celebrities.json +++ b/site/datasets/unknown/youtube_celebrities.json @@ -1 +1 @@ -{"id": "6204776d31359d129a582057c2d788a14f8aadeb", "citations": [{"id": "85a32743d0f544ebf6d2edbb29a785073fccd634", "title": "Adaboost modular tensor locality preservative projection: face detection in video using Adaboost modular-based tensor locality preservative projections", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0406"]}, {"id": "080f74ef33634874645a7a55b42a2a89a3cfa713", "title": "An Adaptive Object Tracking Using Kalman Filter and Probability Product Kernel", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/080f/74ef33634874645a7a55b42a2a89a3cfa713.pdf"], "doi": []}, {"id": "5f665729542e1424172ba2200e0cdbe3bdb802df", "title": "Semi-supervised Spectral Clustering for Classification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.5737.pdf"], "doi": []}, {"id": "c0323bb0aa1782a14f3860158689578bc3b8f5e3", "title": "Multi-local model image set matching based on domain description", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2013.08.025"]}, {"id": "60643bdab1c6261576e6610ea64ea0c0b200a28d", "title": "Multi-manifold metric learning for face recognition based on image sets", "year": "2014", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=08D9040248A65374A3E7B27F6E663DBA?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=C50050C87423C0F7786F79965EBC3FE4?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=F7EE4AA4D8CBDB1F78E966BCF4CBF01F?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf?isAllowed=y&sequence=1"], "doi": ["http://doi.org/10.1016/j.jvcir.2014.08.006"]}, {"id": "9dfe8918f83d1c1a1e059034440eea97679343ab", "title": "Kernelized Low Rank Representation on Grassmann Manifolds", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01806.pdf"], "doi": []}, {"id": "772c2c2064ba9201d7249f0ab4ef023919e92493", "title": "Kernel Learning for Extrinsic Classification of Manifold Features", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619077"]}, {"id": "22137ce9c01a8fdebf92ef35407a5a5d18730dde", "title": "Recognition of Faces from single and Multi-View Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2213/7ce9c01a8fdebf92ef35407a5a5d18730dde.pdf"], "doi": []}, {"id": "582e2d44a44d66974588f04f15badd248b177542", "title": "Locally discriminative stable model for visual tracking with clustering and principle component analysis", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1049/iet-cvi.2012.0180"]}, {"id": "538faff98ddec5d9391a521c9a27aa0117af7d15", "title": "Spatio-temporal Keypoints for Video-Based Face Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976804", "http://doi.org/10.1109/ICPR.2014.93"]}, {"id": "e8ef27f07f8709ea66acaf8b30e858750fdb7d02", "title": "Who missed the class? \u2014 Unifying multi-face detection, tracking and recognition in videos", "year": "2014", "pdf": ["http://web.mst.edu/~yinz/Papers/ICME2014_MultiFaceDetectionTrackingRecognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890334", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890334", "http://doi.org/10.1109/ICME.2014.6890334"]}, {"id": "1303a83494da62032feee866225b731f6317f605", "title": "Fast, robust and automatic 3D face model reconstruction from videos", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918653", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918653", "http://doi.org/10.1109/AVSS.2014.6918653"]}, {"id": "9c55428269c69db700819cf1790062ce8e306fb6", "title": "Integrating Multimedia Semantic Content Analysis of YouTube Videos with Hurricane Wind Analysis for Public Situation Awareness and outreach", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1142/S0218194010004670", "https://www.wikidata.org/entity/Q58310643"]}, {"id": "cc1b7592f29fc3a945a38c742b356167731ef59f", "title": "Image-Set Matching by Two Dimensional Generalized Mutual Subspace Method", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7839575", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2016.034", "http://doi.org/10.1109/BRACIS.2016.034"]}, {"id": "533bfb82c54f261e6a2b7ed7d31a2fd679c56d18", "title": "Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/BestRowdenetal_UnconstrainedFaceRecognition_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/BestRowdenetal_UnconstrainedFaceRecognition_TechReport_MSU-CSE-14-1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905796", "http://doi.org/10.1109/TIFS.2014.2359577"]}, {"id": "5adb8e8e5de6b5ae0235afa02e4c9fc74aa35745", "title": "Identification of Relevant Features based on the Variation of Chrono-Valued Descriptors", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7437243"]}, {"id": "271550eae921bb41b5f71af16981244e916827bb", "title": "Compact Video Code and Its Application to Robust Face Retrieval in TV-Series", "year": "2014", "pdf": ["http://vipl.ict.ac.cn/homepage/rpwang/publications/Compact%20Video%20Code%20and%20Its%20Application%20to%20Robust%20Face%20Retrieval%20in%20TV-Series_BMVC2014.pdf", "http://www.bmva.org/bmvc/2014/files/abstract084.pdf", "http://www.bmva.org/bmvc/2014/files/paper084.pdf"], "doi": ["https://doi.org/10.5244/C.28.93", "http://www.bmva.org/bmvc/2014/papers/paper084/index.html"]}, {"id": "5acb1e65fb9c572658c46345b197b614c7a80952", "title": "Selection-based dictionary learning for sparse representation in visual tracking", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.7282/T3BZ64S3", "https://rucore.libraries.rutgers.edu/rutgers-lib/39129/PDF/1/play/"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "30861d747c87e2e838c1c30eed334b17cc93cdb6", "title": "Bootstrapping Face Detection with Hard Negative Examples", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02236.pdf"], "doi": []}, {"id": "4dadf6f4d9a180d36e9902bc9b6de3b124cb8c92", "title": "Image set-based classification using collaborative exemplars representation", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11760-017-1198-0"]}, {"id": "f136e17e3ca8ea4446ca6b737d0b14745bacf9ef", "title": "Tensor-Train Recurrent Neural Networks for Video Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01786.pdf"], "doi": []}, {"id": "45eb8ae2c68bc515a1f105e135eea747cfd5bbd0", "title": "Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751150"]}, {"id": "347601254b7d760d6650c59722e8b1f1e471f393", "title": "Perception and Hierarchical Dynamics", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/36dd/1b0023dc853f9629fc06a61de592f845276b.pdf"], "doi": []}, {"id": "759e56b7d706da1b1ff7f31f7a2c166fd3ae598f", "title": "The research of face detection method based on adaboost algorithm and skin color segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261538"]}, {"id": "932b157ea4e554af580124b5575097d47fb6a707", "title": "Video-based Face Recognition : A Survey", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/8a56/665b1b191e66818193a3e899c650809a9df5.pdf"], "doi": []}, {"id": "5a4fb4cec2fb4465d4d642a6104cf4f5a83ae80b", "title": "An integrated robust approach for fast face tracking in noisy real-world videos with visual constraints", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8321899"]}, {"id": "a1402ffb3e9af83124069b71831705e2663204ec", "title": "Online subspace learning using a misalignment detection for tracking a talking face in video sequence", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2009.12.027"]}, {"id": "256c91400aa7e92160c889654614f70213947f06", "title": "Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling", "year": "2015", "pdf": ["https://arxiv.org/pdf/1410.7484.pdf"], "doi": []}, {"id": "38ab777923e09eb3aeb7c2560244c7fef50b0499", "title": "Towards Generalized and Efficient Metric Learning on Riemannian Manifold", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0449.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F449", "https://doi.org/10.24963/ijcai.2018/449"]}, {"id": "b6b18e79efd0e789d943b517df7c374e7b965376", "title": "Surface representations and automatic feature learning for 3D object recognition", "year": "2016", "pdf": [], "doi": []}, {"id": "945ef646679b6c575d3bbef9c6fc0a9629ac1b62", "title": "Learning a structured dictionary for video-based face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477689", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477689", "http://doi.org/10.1109/WACV.2016.7477689"]}, {"id": "402a5fde740501e6d207d1e810c19a8008a2e2fe", "title": "Incremental learning patch-based bag of facial words representation for face recognition in videos", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-013-1562-1"]}, {"id": "ce6f459462ea9419ca5adcc549d1d10e616c0213", "title": "A Survey on Face Identification Methodologies in Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ce6f/459462ea9419ca5adcc549d1d10e616c0213.pdf"], "doi": []}, {"id": "10e7dd3bbbfbc25661213155e0de1a9f043461a2", "title": "Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04200.pdf"], "doi": []}, {"id": "e679d7d4a43b7549c0439bf00c05dc844e9ecfc6", "title": "Image Set Classification for Low Resolution Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09470.pdf"], "doi": []}, {"id": "03adcf58d947a412f3904a79f2ab51cfdf0e838a", "title": "Video-based face recognition : a survey", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/03ad/cf58d947a412f3904a79f2ab51cfdf0e838a.pdf"], "doi": []}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"], "doi": []}, {"id": "4dfb81596c10cc770d242757e22cb83751ebec43", "title": "Joint space learning for video-based face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486457"]}, {"id": "fd4ac1da699885f71970588f84316589b7d8317b", "title": "Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0601.pdf"], "doi": []}, {"id": "0a350543ef2521b144c80a831848cbf711523fc4", "title": "Video face tracking: a work in progress", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0a35/0543ef2521b144c80a831848cbf711523fc4.pdf"], "doi": []}, {"id": "d1128415f741c970bbfd149c5ce6317d8abdbf8e", "title": "Efficient Image Set Classification Using Linear Regression Based Image Reconstruction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014822"]}, {"id": "9e58348c7f51911ad67cc87df132cf9d70da8a5c", "title": "Reinforcement Learning for Robust and Efficient Real-World Tracking", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597280"]}, {"id": "09d078f942ec4ff982714b58963803d30f98dbcc", "title": "Large margin image set representation and classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6889378"]}, {"id": "03ac704621312e0dc6537ccfa1dfce507746e355", "title": "Group Collaborative Representation for Image Set Classification", "year": "2018", "pdf": ["https://www.stat.berkeley.edu/~mmahoney/pubs/GCR_IJCV.pdf"], "doi": ["https://doi.org/10.1007/s11263-018-1088-0"]}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "51891f33c93cb7534c02fe20bcd13046a166e72e", "title": "Structured partial least squares based appearance model for visual tracking", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2014.02.034"]}, {"id": "f2700e3d69d3cce2e0b1aea0d7f87e74aff437cd", "title": "Attention-Aware Deep Reinforcement Learning for Video Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Rao_Attention-Aware_Deep_Reinforcement_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237686", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.424", "http://doi.org/10.1109/ICCV.2017.424"]}, {"id": "f28bec263804f3d6b95f78a91d1ba8630ad5b7a2", "title": "A system for modeling social traits in realistic faces with artificial intelligence", "year": "2018", "pdf": [], "doi": []}, {"id": "0b28eedcc8ce4c06abc75d9327086ff7c7cf3510", "title": "Towards Large-Scale Face Recognition Based on Videos", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406490"]}, {"id": "36bb5cca0f6a75be8e66f58cba214b90982ee52f", "title": "A Quantum Probability Inspired Framework for Image-Set Based Face Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961790", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.73", "http://doi.org/10.1109/FG.2017.73"]}, {"id": "113a1d0817b15f6330e140bb2ba5ed2620f2d5fb", "title": "Video-Based Face Recognition Based On State-Space Model", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.5281/zenodo.1088632", "https://waset.org/publications/17226/video-based-face-recognition-based-on-state-space-model"]}, {"id": "5305bfdff39ae74d2958ba28d42c16495ce2ff86", "title": "Regularized Least-Squares Coding with Unlabeled Dictionary for Image-Set Based Face Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008128", "http://doi.org/10.1109/DICTA.2014.7008128"]}, {"id": "be2d326fa588b4ffd1d8d3d4408ae680e1a26277", "title": "JOURNA A Survey on Modern Era \u2019 s Online Object Tracking Algorithms", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/be2d/326fa588b4ffd1d8d3d4408ae680e1a26277.pdf"], "doi": []}, {"id": "74419de59b2dd7d0a16484aa2aac621df514f5c4", "title": "Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00966.pdf"], "doi": []}, {"id": "abac66ed5b0c89eed059667c041aedef89dbec9b", "title": "Kernelized Fast Algorithm for Regularized Hull-Based Face Recognition With Image Sets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8368237"]}, {"id": "3b7a682353683f7a62d37a7937fdf622c269d3b8", "title": "Correlation-based incremental visual tracking", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2011.08.026"]}, {"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": "7fa00c81f7c2d8da1551334b0e7bc3d7fd43130c", "title": "Deep Reconstruction Models for Image Set Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6888522", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2353635", "http://doi.org/10.1109/TPAMI.2014.2353635", "https://www.ncbi.nlm.nih.gov/pubmed/26353289"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "a3677ff1b5ad66db12d81b5175b21ef2ae5f0955", "title": "Learning Structured Ordinal Measures for Video based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1507.02380.pdf"], "doi": []}, {"id": "454875688c220c25b45e877d71138219a1963ed4", "title": "Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6128684"]}, {"id": "2c9179fec33f69a5c1a453034dc7d3d3302839d3", "title": "Exploiting Hierarchical Dense Structures on Hypergraphs for Multi-Object Tracking", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami16_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360186", "http://doi.org/10.1109/TPAMI.2015.2509979", "https://www.ncbi.nlm.nih.gov/pubmed/26700969", "https://www.wikidata.org/entity/Q48636655"]}, {"id": "7238ad190988f86ad1ca5bbb8e5d0021802276c8", "title": "Face Recognition across Pose on Video Using Eigen Light-Fields", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6128716", "http://doi.ieeecomputersociety.org/10.1109/DICTA.2011.96", "http://doi.org/10.1109/DICTA.2011.96"]}, {"id": "ae853eb6d824e2c3c6b5d90475ef981d3c06cb98", "title": "Design of Robust Face Recognition System Realized with the Aid of Automatic Pose Estimation-based Classification and Preprocessing Networks Structure", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae85/3eb6d824e2c3c6b5d90475ef981d3c06cb98.pdf"], "doi": []}, {"id": "a955033ca6716bf9957b362b77092592461664b4", "title": "Video Based Face Recognition Using Artificial Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a955/033ca6716bf9957b362b77092592461664b4.pdf"], "doi": []}, {"id": "cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3", "title": "Facial Landmark Detection via Progressive Initialization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406479", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.130", "http://doi.org/10.1109/ICCVW.2015.130"]}, {"id": "2d634554ae82d07d8599dc8f2424ae5e9068617a", "title": "Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751499"]}, {"id": "1178a8ed61ec6714383f2e9791c27aea6d8022ad", "title": "Development of Robust Multiple Face Tracking Algorithm and Novel Performance Evaluation Metrics for Different Background Video Sequences", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1178/a8ed61ec6714383f2e9791c27aea6d8022ad.pdf"], "doi": []}, {"id": "243f795af7ba08fc7abd4a765cfd657b6e111d55", "title": "Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410825"]}, {"id": "cfb3c1c395b146021a70ae9d5cf7c76854108a86", "title": "S-Log: Skin based Log-Gabor Approach for Face Detection in Video", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfb3/c1c395b146021a70ae9d5cf7c76854108a86.pdf"], "doi": []}, {"id": "34c1e9a6166f4732d1738db803467f7abc47ba87", "title": "Image Set Classification Using Sparse Bayesian Regression", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926720", "http://doi.org/10.1109/WACV.2017.137"]}, {"id": "c93cf675aa5fd0edd3435b082150ee65bd2457b0", "title": "Review of Face Detection Systems Based Artificial Neural Networks Algorithms", "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.1292.pdf"], "doi": []}, {"id": "0684811cb5df54945921ab762b10fbc6478ec0a0", "title": "Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations", "year": "2013", "pdf": ["https://arxiv.org/pdf/1210.1121.pdf"], "doi": []}, {"id": "f39c44e9e9dad5240af7d4d4020f35da7e7088ff", "title": "Multi-Order Statistical Descriptors for Real-Time Face Recognition and Object Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8271867"]}, {"id": "9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73", "title": "A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/people/attach/Revision_COX_TIP_v3.0_1.pdf", "http://www.vision.ee.ethz.ch/~zzhiwu/papers/COX-Face-DB-TIP-final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7302053", "http://doi.org/10.1109/TIP.2015.2493448", "https://www.ncbi.nlm.nih.gov/pubmed/26513790"]}, {"id": "0b46dca675879c34c536b65a78c182b7bb6c7755", "title": "Multi view video based face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7342705"]}, {"id": "e38ce7ad1b5fba83bc91f6961b0f36b196c0868b", "title": "Particle filtering on large dimensional state spaces and applications in computer vision", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.31274/etd-180810-3056", "https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=2781&context=etd&httpsredir=1&referer="]}, {"id": "45d25029a9dd71f47d2fb0693b9e070a0b1d0f10", "title": "Real-Time Face Tracking for Audience Engagement", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/45d2/5029a9dd71f47d2fb0693b9e070a0b1d0f10.pdf"], "doi": []}, {"id": "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "title": "Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581e/920ddb6ecfc2a313a3aa6fed3d933b917ab0.pdf"], "doi": []}, {"id": "4ff5643ff5fbb791b902addd4b31b3e4eb11b4b3", "title": "Learning Where to Attend with Deep Architectures for Image Tracking", "year": "2012", "pdf": ["https://arxiv.org/pdf/1109.3737.pdf"], "doi": []}, {"id": "122aef0d23489b3d97bd093eadd38c2a73102263", "title": "Online People Tracking and Identification with RFID and Kinect", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.03824.pdf"], "doi": []}, {"id": "364c8a768fe821aec4def9a9d7a6b8ef288615d8", "title": "PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual Tracking across Illumination Change", "year": "2013", "pdf": ["https://arxiv.org/pdf/1301.1374.pdf"], "doi": []}, {"id": "cdd5062627c7b331d64a1dec25989815cd9a4913", "title": "GCSTLPP : Face Recognition using Gabor Center-Symmetric Tensor Locality Preservative Projection Approach in Video", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cdd5/062627c7b331d64a1dec25989815cd9a4913.pdf"], "doi": []}, {"id": "b9a8263017cadadbe72e3d5da035d0463c8f3df4", "title": "Engineered and learned features for face and facial expression recognition", "year": "2015", "pdf": [], "doi": []}, {"id": "f8925f543054d2cf411c88437b9dc3398a87c780", "title": "Robust Video-based Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f892/5f543054d2cf411c88437b9dc3398a87c780.pdf"], "doi": []}, {"id": "25a784f7f8c94c42821ee078587fc38dffcd00a4", "title": "Robust Face Detection via Learning Small Faces on Hard Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11662.pdf"], "doi": []}, {"id": "b72eebffe697008048781ab7b768e0c96e52236a", "title": "Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Discriminative_Covariance_Oriented_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wang_Discriminative_Covariance_Oriented_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Discriminative%20Covariance%20Oriented%20Representation%20Learning%20for%20Face%20Recognition%20with%20Image%20Sets_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100092", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.609", "http://doi.org/10.1109/CVPR.2017.609"]}, {"id": "da141474d85257ae65e45b3d4b3a9aa23e62724d", "title": "Learning techniques for multi-modal facial analysis", "year": "2015", "pdf": [], "doi": []}, {"id": "225e9b5edb967b132c97dece8b0a526edff78889", "title": "Real Time Face Detection Based on Motion and Skin Color Information", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6280377"]}, {"id": "640aafdbd0eedd6001bd9cbe31045aa12223f65a", "title": "Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds", "year": "2015", "pdf": ["https://arxiv.org/pdf/1401.8126.pdf"], "doi": []}, {"id": "f6b4811c5e7111485e2c9cc5bf63f8ac80f3e2d7", "title": "Face Verification via Class Sparsity Based Supervised Encoding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470420", "http://doi.org/10.1109/TPAMI.2016.2569436", "https://www.ncbi.nlm.nih.gov/pubmed/27214891", "https://www.wikidata.org/entity/Q50510181"]}, {"id": "47a2252fdb2c5dae498a61dd73bfd48a8c5bb4d0", "title": "Semi-supervised Spectral Clustering for Image Set Classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909417"]}, {"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": "0ac39e43deccef7b35f054b9784095027e6126af", "title": "Quality Based Frame Selection for Face Clustering in News Video", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6691517"]}, {"id": "46e05393f9b8169106b7c8e55ef2bd9f1931a362", "title": "Year : 2009 Perception and hierarchical dynamics", "year": "2010", "pdf": [], "doi": []}, {"id": "ff101205e1f71f6303073c04a5f23c2ad7cbeeb8", "title": "Face Detection for Human Identification in Surveillance", "year": "2014", "pdf": [], "doi": []}, {"id": "69c0ee6c2344ee7408b5095b00fe8b162b732325", "title": "Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909613"]}, {"id": "0343f9401b98de36be957a30209fef45dd684270", "title": "On video based face recognition through adaptive sparse dictionary", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163134", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163134", "http://doi.org/10.1109/FG.2015.7163134"]}, {"id": "5bdfb28477ea9a8a1d4a28cba8675696e709555b", "title": "Learning Non-linear Reconstruction Models for Image Set Classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909643"]}, {"id": "33daea82ae459324e42aa703b5e9809b5e4bf9af", "title": "Learning Deep Match Kernels for Image-Set Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100144"]}, {"id": "875b00be3e95382c930692efb20633ae7994c08e", "title": "Face Tracking and Recognition via Incremental Local Sparse Representation", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6643722"]}, {"id": "02203deb1aba9f54e12c2bf89c3b4096435164ad", "title": "Optimizing over Radial Kernels on Compact Manifolds", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909881"]}, {"id": "4ea53e76246afae94758c1528002808374b75cfa", "title": "A Review of Scholastic Examination and Models for Face Recognition and Retrieval in Video", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4ea5/3e76246afae94758c1528002808374b75cfa.pdf"], "doi": []}, {"id": "36eb5ac678c49f29db681cbfab7576c0619b0df1", "title": "Human Motion Tracking using a Color-Based Particle Filter Driven by Optical Flow", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/e3c0/9607a14339f6e862ec74fbe6fdc83463ba63.pdf"], "doi": []}, {"id": "9a1dee546bdf48ab9028900ed034ae9d9da87c35", "title": "Multi-manifolds Discriminative Canonical Correlation Analysis for Image Set-Based Face Recognition", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s12559-016-9403-y"]}, {"id": "31a2fb63a3fc67da9932474cda078c9ac43f85c5", "title": "Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.0265.pdf"], "doi": []}, {"id": "b32631f456397462b3530757f3a73a2ccc362342", "title": "Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b326/31f456397462b3530757f3a73a2ccc362342.pdf"], "doi": []}, {"id": "8235f2f55ecfc80bd80cc1c2a1e8fe1e50bbec27", "title": "Computationally efficient application of the generic shape-illumination invariant to face recognition from video", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2011.07.002"]}, {"id": "a018e597608609018f3f11c4b8cda0cb2c6aff1e", "title": "Grassmann manifold for nearest points image set classification", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2015.09.008"]}, {"id": "e64b683e32525643a9ddb6b6af8b0472ef5b6a37", "title": "Face Recognition and Retrieval in Video", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/e64b/683e32525643a9ddb6b6af8b0472ef5b6a37.pdf"], "doi": []}, {"id": "4e47663416e0b45fbcfb9d67304f30409a8ddfa9", "title": "Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers", "year": "2008", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=630C1561D647723F6FA360B5E4CBA559?doi=10.1.1.309.6901&rep=rep1&type=pdf", "http://iris.usc.edu/Outlines/papers/2008/yu-dinh-medioni-eccv08.pdf", "http://iris.usc.edu/Vision-Users/OldUsers/qianyu/ECCV2008.pdf", "http://iris.usc.edu/people/thangdin/files/Thang_ECCV08.pdf"], "doi": ["https://doi.org/10.1007/978-3-540-88688-4_50"]}, {"id": "5d8eba56d0c1db6873abff7966956bb44e652d71", "title": "International Journal of Application or Innovation in Engineering & Management ( IJAIEM ) Web", "year": "", "pdf": ["https://pdfs.semanticscholar.org/5d8e/ba56d0c1db6873abff7966956bb44e652d71.pdf"], "doi": []}, {"id": "536807e72623afe885abc82a6ad075a2e48f8c17", "title": "Optimizing feature selection in video-based recognition using Max-Min Ant System for the online video contextual advertisement user-oriented system", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.jocs.2016.10.016"]}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "b885b656f6a5523e8c5d0b6bd6ac5a60ad8057e2", "title": "Combination of sequential class distributions from multiple channels using Markov fusion networks", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s12193-014-0149-0"]}, {"id": "0b7e9fb57d91fa44aa5879c1024133c331ee8906", "title": "Lee Video-Based Face Recognition Based On State-Space Model", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0b7e/9fb57d91fa44aa5879c1024133c331ee8906.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "6204776d31359d129a582057c2d788a14f8aadeb", "citations": [{"id": "85a32743d0f544ebf6d2edbb29a785073fccd634", "title": "Adaboost modular tensor locality preservative projection: face detection in video using Adaboost modular-based tensor locality preservative projections", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0406"]}, {"id": "080f74ef33634874645a7a55b42a2a89a3cfa713", "title": "An Adaptive Object Tracking Using Kalman Filter and Probability Product Kernel", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/080f/74ef33634874645a7a55b42a2a89a3cfa713.pdf"], "doi": []}, {"id": "5f665729542e1424172ba2200e0cdbe3bdb802df", "title": "Semi-supervised Spectral Clustering for Classification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.5737.pdf"], "doi": []}, {"id": "c0323bb0aa1782a14f3860158689578bc3b8f5e3", "title": "Multi-local model image set matching based on domain description", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2013.08.025"]}, {"id": "60643bdab1c6261576e6610ea64ea0c0b200a28d", "title": "Multi-manifold metric learning for face recognition based on image sets", "year": "2014", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=08D9040248A65374A3E7B27F6E663DBA?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=C50050C87423C0F7786F79965EBC3FE4?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=F7EE4AA4D8CBDB1F78E966BCF4CBF01F?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf?isAllowed=y&sequence=1"], "doi": ["http://doi.org/10.1016/j.jvcir.2014.08.006"]}, {"id": "9dfe8918f83d1c1a1e059034440eea97679343ab", "title": "Kernelized Low Rank Representation on Grassmann Manifolds", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01806.pdf"], "doi": []}, {"id": "772c2c2064ba9201d7249f0ab4ef023919e92493", "title": "Kernel Learning for Extrinsic Classification of Manifold Features", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619077"]}, {"id": "22137ce9c01a8fdebf92ef35407a5a5d18730dde", "title": "Recognition of Faces from single and Multi-View Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2213/7ce9c01a8fdebf92ef35407a5a5d18730dde.pdf"], "doi": []}, {"id": "582e2d44a44d66974588f04f15badd248b177542", "title": "Locally discriminative stable model for visual tracking with clustering and principle component analysis", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1049/iet-cvi.2012.0180"]}, {"id": "538faff98ddec5d9391a521c9a27aa0117af7d15", "title": "Spatio-temporal Keypoints for Video-Based Face Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976804", "http://doi.org/10.1109/ICPR.2014.93"]}, {"id": "e8ef27f07f8709ea66acaf8b30e858750fdb7d02", "title": "Who missed the class? \u2014 Unifying multi-face detection, tracking and recognition in videos", "year": "2014", "pdf": ["http://web.mst.edu/~yinz/Papers/ICME2014_MultiFaceDetectionTrackingRecognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890334", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890334", "http://doi.org/10.1109/ICME.2014.6890334"]}, {"id": "1303a83494da62032feee866225b731f6317f605", "title": "Fast, robust and automatic 3D face model reconstruction from videos", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918653", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918653", "http://doi.org/10.1109/AVSS.2014.6918653"]}, {"id": "9c55428269c69db700819cf1790062ce8e306fb6", "title": "Integrating Multimedia Semantic Content Analysis of YouTube Videos with Hurricane Wind Analysis for Public Situation Awareness and outreach", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1142/S0218194010004670", "https://www.wikidata.org/entity/Q58310643"]}, {"id": "cc1b7592f29fc3a945a38c742b356167731ef59f", "title": "Image-Set Matching by Two Dimensional Generalized Mutual Subspace Method", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7839575", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2016.034", "http://doi.org/10.1109/BRACIS.2016.034"]}, {"id": "533bfb82c54f261e6a2b7ed7d31a2fd679c56d18", "title": "Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/BestRowdenetal_UnconstrainedFaceRecognition_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/BestRowdenetal_UnconstrainedFaceRecognition_TechReport_MSU-CSE-14-1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905796", "http://doi.org/10.1109/TIFS.2014.2359577"]}, {"id": "5adb8e8e5de6b5ae0235afa02e4c9fc74aa35745", "title": "Identification of Relevant Features based on the Variation of Chrono-Valued Descriptors", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7437243"]}, {"id": "271550eae921bb41b5f71af16981244e916827bb", "title": "Compact Video Code and Its Application to Robust Face Retrieval in TV-Series", "year": "2014", "pdf": ["http://vipl.ict.ac.cn/homepage/rpwang/publications/Compact%20Video%20Code%20and%20Its%20Application%20to%20Robust%20Face%20Retrieval%20in%20TV-Series_BMVC2014.pdf", "http://www.bmva.org/bmvc/2014/files/abstract084.pdf", "http://www.bmva.org/bmvc/2014/files/paper084.pdf"], "doi": ["https://doi.org/10.5244/C.28.93", "http://www.bmva.org/bmvc/2014/papers/paper084/index.html"]}, {"id": "5acb1e65fb9c572658c46345b197b614c7a80952", "title": "Selection-based dictionary learning for sparse representation in visual tracking", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.7282/T3BZ64S3", "https://rucore.libraries.rutgers.edu/rutgers-lib/39129/PDF/1/play/"]}, {"id": "500b92578e4deff98ce20e6017124e6d2053b451", "title": "Incremental Face Alignment in the Wild", "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25818/01/Pantic_Incremental_Face_Alignment_in_the_Wild.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/aasthanacvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Asthana_Incremental_Face_Alignment_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909636", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.240", "http://doi.org/10.1109/CVPR.2014.240"]}, {"id": "30861d747c87e2e838c1c30eed334b17cc93cdb6", "title": "Bootstrapping Face Detection with Hard Negative Examples", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02236.pdf"], "doi": []}, {"id": "4dadf6f4d9a180d36e9902bc9b6de3b124cb8c92", "title": "Image set-based classification using collaborative exemplars representation", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11760-017-1198-0"]}, {"id": "f136e17e3ca8ea4446ca6b737d0b14745bacf9ef", "title": "Tensor-Train Recurrent Neural Networks for Video Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01786.pdf"], "doi": []}, {"id": "45eb8ae2c68bc515a1f105e135eea747cfd5bbd0", "title": "Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751150"]}, {"id": "347601254b7d760d6650c59722e8b1f1e471f393", "title": "Perception and Hierarchical Dynamics", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/36dd/1b0023dc853f9629fc06a61de592f845276b.pdf"], "doi": []}, {"id": "759e56b7d706da1b1ff7f31f7a2c166fd3ae598f", "title": "The research of face detection method based on adaboost algorithm and skin color segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261538"]}, {"id": "932b157ea4e554af580124b5575097d47fb6a707", "title": "Video-based Face Recognition : A Survey", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/8a56/665b1b191e66818193a3e899c650809a9df5.pdf"], "doi": []}, {"id": "5a4fb4cec2fb4465d4d642a6104cf4f5a83ae80b", "title": "An integrated robust approach for fast face tracking in noisy real-world videos with visual constraints", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8321899"]}, {"id": "a1402ffb3e9af83124069b71831705e2663204ec", "title": "Online subspace learning using a misalignment detection for tracking a talking face in video sequence", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2009.12.027"]}, {"id": "256c91400aa7e92160c889654614f70213947f06", "title": "Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling", "year": "2015", "pdf": ["https://arxiv.org/pdf/1410.7484.pdf"], "doi": []}, {"id": "38ab777923e09eb3aeb7c2560244c7fef50b0499", "title": "Towards Generalized and Efficient Metric Learning on Riemannian Manifold", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0449.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F449", "https://doi.org/10.24963/ijcai.2018/449"]}, {"id": "b6b18e79efd0e789d943b517df7c374e7b965376", "title": "Surface representations and automatic feature learning for 3D object recognition", "year": "2016", "pdf": [], "doi": []}, {"id": "945ef646679b6c575d3bbef9c6fc0a9629ac1b62", "title": "Learning a structured dictionary for video-based face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477689", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477689", "http://doi.org/10.1109/WACV.2016.7477689"]}, {"id": "402a5fde740501e6d207d1e810c19a8008a2e2fe", "title": "Incremental learning patch-based bag of facial words representation for face recognition in videos", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-013-1562-1"]}, {"id": "ce6f459462ea9419ca5adcc549d1d10e616c0213", "title": "A Survey on Face Identification Methodologies in Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ce6f/459462ea9419ca5adcc549d1d10e616c0213.pdf"], "doi": []}, {"id": "10e7dd3bbbfbc25661213155e0de1a9f043461a2", "title": "Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04200.pdf"], "doi": []}, {"id": "e679d7d4a43b7549c0439bf00c05dc844e9ecfc6", "title": "Image Set Classification for Low Resolution Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09470.pdf"], "doi": []}, {"id": "03adcf58d947a412f3904a79f2ab51cfdf0e838a", "title": "Video-based face recognition : a survey", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/03ad/cf58d947a412f3904a79f2ab51cfdf0e838a.pdf"], "doi": []}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"], "doi": []}, {"id": "4dfb81596c10cc770d242757e22cb83751ebec43", "title": "Joint space learning for video-based face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486457"]}, {"id": "fd4ac1da699885f71970588f84316589b7d8317b", "title": "Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0601.pdf"], "doi": []}, {"id": "0a350543ef2521b144c80a831848cbf711523fc4", "title": "Video face tracking: a work in progress", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0a35/0543ef2521b144c80a831848cbf711523fc4.pdf"], "doi": []}, {"id": "d1128415f741c970bbfd149c5ce6317d8abdbf8e", "title": "Efficient Image Set Classification Using Linear Regression Based Image Reconstruction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014822"]}, {"id": "9e58348c7f51911ad67cc87df132cf9d70da8a5c", "title": "Reinforcement Learning for Robust and Efficient Real-World Tracking", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597280"]}, {"id": "09d078f942ec4ff982714b58963803d30f98dbcc", "title": "Large margin image set representation and classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6889378"]}, {"id": "03ac704621312e0dc6537ccfa1dfce507746e355", "title": "Group Collaborative Representation for Image Set Classification", "year": "2018", "pdf": ["https://www.stat.berkeley.edu/~mmahoney/pubs/GCR_IJCV.pdf"], "doi": ["https://doi.org/10.1007/s11263-018-1088-0"]}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "51891f33c93cb7534c02fe20bcd13046a166e72e", "title": "Structured partial least squares based appearance model for visual tracking", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2014.02.034"]}, {"id": "f2700e3d69d3cce2e0b1aea0d7f87e74aff437cd", "title": "Attention-Aware Deep Reinforcement Learning for Video Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Rao_Attention-Aware_Deep_Reinforcement_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237686", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.424", "http://doi.org/10.1109/ICCV.2017.424"]}, {"id": "f28bec263804f3d6b95f78a91d1ba8630ad5b7a2", "title": "A system for modeling social traits in realistic faces with artificial intelligence", "year": "2018", "pdf": [], "doi": []}, {"id": "0b28eedcc8ce4c06abc75d9327086ff7c7cf3510", "title": "Towards Large-Scale Face Recognition Based on Videos", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406490"]}, {"id": "36bb5cca0f6a75be8e66f58cba214b90982ee52f", "title": "A Quantum Probability Inspired Framework for Image-Set Based Face Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961790", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.73", "http://doi.org/10.1109/FG.2017.73"]}, {"id": "113a1d0817b15f6330e140bb2ba5ed2620f2d5fb", "title": "Video-Based Face Recognition Based On State-Space Model", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.5281/zenodo.1088632", "https://waset.org/publications/17226/video-based-face-recognition-based-on-state-space-model"]}, {"id": "5305bfdff39ae74d2958ba28d42c16495ce2ff86", "title": "Regularized Least-Squares Coding with Unlabeled Dictionary for Image-Set Based Face Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008128", "http://doi.org/10.1109/DICTA.2014.7008128"]}, {"id": "be2d326fa588b4ffd1d8d3d4408ae680e1a26277", "title": "JOURNA A Survey on Modern Era \u2019 s Online Object Tracking Algorithms", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/be2d/326fa588b4ffd1d8d3d4408ae680e1a26277.pdf"], "doi": []}, {"id": "74419de59b2dd7d0a16484aa2aac621df514f5c4", "title": "Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00966.pdf"], "doi": []}, {"id": "abac66ed5b0c89eed059667c041aedef89dbec9b", "title": "Kernelized Fast Algorithm for Regularized Hull-Based Face Recognition With Image Sets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8368237"]}, {"id": "3b7a682353683f7a62d37a7937fdf622c269d3b8", "title": "Correlation-based incremental visual tracking", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1016/j.patcog.2011.08.026"]}, {"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": "7fa00c81f7c2d8da1551334b0e7bc3d7fd43130c", "title": "Deep Reconstruction Models for Image Set Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6888522", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2353635", "http://doi.org/10.1109/TPAMI.2014.2353635", "https://www.ncbi.nlm.nih.gov/pubmed/26353289"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "a3677ff1b5ad66db12d81b5175b21ef2ae5f0955", "title": "Learning Structured Ordinal Measures for Video based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1507.02380.pdf"], "doi": []}, {"id": "454875688c220c25b45e877d71138219a1963ed4", "title": "Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6128684"]}, {"id": "2c9179fec33f69a5c1a453034dc7d3d3302839d3", "title": "Exploiting Hierarchical Dense Structures on Hypergraphs for Multi-Object Tracking", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami16_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360186", "http://doi.org/10.1109/TPAMI.2015.2509979", "https://www.ncbi.nlm.nih.gov/pubmed/26700969", "https://www.wikidata.org/entity/Q48636655"]}, {"id": "7238ad190988f86ad1ca5bbb8e5d0021802276c8", "title": "Face Recognition across Pose on Video Using Eigen Light-Fields", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6128716", "http://doi.ieeecomputersociety.org/10.1109/DICTA.2011.96", "http://doi.org/10.1109/DICTA.2011.96"]}, {"id": "ae853eb6d824e2c3c6b5d90475ef981d3c06cb98", "title": "Design of Robust Face Recognition System Realized with the Aid of Automatic Pose Estimation-based Classification and Preprocessing Networks Structure", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae85/3eb6d824e2c3c6b5d90475ef981d3c06cb98.pdf"], "doi": []}, {"id": "a955033ca6716bf9957b362b77092592461664b4", "title": "Video Based Face Recognition Using Artificial Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a955/033ca6716bf9957b362b77092592461664b4.pdf"], "doi": []}, {"id": "cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3", "title": "Facial Landmark Detection via Progressive Initialization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406479", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.130", "http://doi.org/10.1109/ICCVW.2015.130"]}, {"id": "2d634554ae82d07d8599dc8f2424ae5e9068617a", "title": "Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751499"]}, {"id": "1178a8ed61ec6714383f2e9791c27aea6d8022ad", "title": "Development of Robust Multiple Face Tracking Algorithm and Novel Performance Evaluation Metrics for Different Background Video Sequences", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1178/a8ed61ec6714383f2e9791c27aea6d8022ad.pdf"], "doi": []}, {"id": "243f795af7ba08fc7abd4a765cfd657b6e111d55", "title": "Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410825"]}, {"id": "cfb3c1c395b146021a70ae9d5cf7c76854108a86", "title": "S-Log: Skin based Log-Gabor Approach for Face Detection in Video", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfb3/c1c395b146021a70ae9d5cf7c76854108a86.pdf"], "doi": []}, {"id": "34c1e9a6166f4732d1738db803467f7abc47ba87", "title": "Image Set Classification Using Sparse Bayesian Regression", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926720", "http://doi.org/10.1109/WACV.2017.137"]}, {"id": "c93cf675aa5fd0edd3435b082150ee65bd2457b0", "title": "Review of Face Detection Systems Based Artificial Neural Networks Algorithms", "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.1292.pdf"], "doi": []}, {"id": "0684811cb5df54945921ab762b10fbc6478ec0a0", "title": "Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations", "year": "2013", "pdf": ["https://arxiv.org/pdf/1210.1121.pdf"], "doi": []}, {"id": "f39c44e9e9dad5240af7d4d4020f35da7e7088ff", "title": "Multi-Order Statistical Descriptors for Real-Time Face Recognition and Object Classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8271867"]}, {"id": "9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73", "title": "A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/people/attach/Revision_COX_TIP_v3.0_1.pdf", "http://www.vision.ee.ethz.ch/~zzhiwu/papers/COX-Face-DB-TIP-final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7302053", "http://doi.org/10.1109/TIP.2015.2493448", "https://www.ncbi.nlm.nih.gov/pubmed/26513790"]}, {"id": "0b46dca675879c34c536b65a78c182b7bb6c7755", "title": "Multi view video based face recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7342705"]}, {"id": "e38ce7ad1b5fba83bc91f6961b0f36b196c0868b", "title": "Particle filtering on large dimensional state spaces and applications in computer vision", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.31274/etd-180810-3056", "https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=2781&context=etd&httpsredir=1&referer="]}, {"id": "45d25029a9dd71f47d2fb0693b9e070a0b1d0f10", "title": "Real-Time Face Tracking for Audience Engagement", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/45d2/5029a9dd71f47d2fb0693b9e070a0b1d0f10.pdf"], "doi": []}, {"id": "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "title": "Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581e/920ddb6ecfc2a313a3aa6fed3d933b917ab0.pdf"], "doi": []}, {"id": "4ff5643ff5fbb791b902addd4b31b3e4eb11b4b3", "title": "Learning Where to Attend with Deep Architectures for Image Tracking", "year": "2012", "pdf": ["https://arxiv.org/pdf/1109.3737.pdf"], "doi": []}, {"id": "122aef0d23489b3d97bd093eadd38c2a73102263", "title": "Online People Tracking and Identification with RFID and Kinect", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.03824.pdf"], "doi": []}, {"id": "364c8a768fe821aec4def9a9d7a6b8ef288615d8", "title": "PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual Tracking across Illumination Change", "year": "2013", "pdf": ["https://arxiv.org/pdf/1301.1374.pdf"], "doi": []}, {"id": "cdd5062627c7b331d64a1dec25989815cd9a4913", "title": "GCSTLPP : Face Recognition using Gabor Center-Symmetric Tensor Locality Preservative Projection Approach in Video", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cdd5/062627c7b331d64a1dec25989815cd9a4913.pdf"], "doi": []}, {"id": "b9a8263017cadadbe72e3d5da035d0463c8f3df4", "title": "Engineered and learned features for face and facial expression recognition", "year": "2015", "pdf": [], "doi": []}, {"id": "f8925f543054d2cf411c88437b9dc3398a87c780", "title": "Robust Video-based Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f892/5f543054d2cf411c88437b9dc3398a87c780.pdf"], "doi": []}, {"id": "25a784f7f8c94c42821ee078587fc38dffcd00a4", "title": "Robust Face Detection via Learning Small Faces on Hard Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11662.pdf"], "doi": []}, {"id": "b72eebffe697008048781ab7b768e0c96e52236a", "title": "Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Discriminative_Covariance_Oriented_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wang_Discriminative_Covariance_Oriented_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Discriminative%20Covariance%20Oriented%20Representation%20Learning%20for%20Face%20Recognition%20with%20Image%20Sets_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100092", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.609", "http://doi.org/10.1109/CVPR.2017.609"]}, {"id": "da141474d85257ae65e45b3d4b3a9aa23e62724d", "title": "Learning techniques for multi-modal facial analysis", "year": "2015", "pdf": [], "doi": []}, {"id": "225e9b5edb967b132c97dece8b0a526edff78889", "title": "Real Time Face Detection Based on Motion and Skin Color Information", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6280377"]}, {"id": "640aafdbd0eedd6001bd9cbe31045aa12223f65a", "title": "Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds", "year": "2015", "pdf": ["https://arxiv.org/pdf/1401.8126.pdf"], "doi": []}, {"id": "f6b4811c5e7111485e2c9cc5bf63f8ac80f3e2d7", "title": "Face Verification via Class Sparsity Based Supervised Encoding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470420", "http://doi.org/10.1109/TPAMI.2016.2569436", "https://www.ncbi.nlm.nih.gov/pubmed/27214891", "https://www.wikidata.org/entity/Q50510181"]}, {"id": "47a2252fdb2c5dae498a61dd73bfd48a8c5bb4d0", "title": "Semi-supervised Spectral Clustering for Image Set Classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909417"]}, {"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": "0ac39e43deccef7b35f054b9784095027e6126af", "title": "Quality Based Frame Selection for Face Clustering in News Video", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6691517"]}, {"id": "46e05393f9b8169106b7c8e55ef2bd9f1931a362", "title": "Year : 2009 Perception and hierarchical dynamics", "year": "2010", "pdf": [], "doi": []}, {"id": "ff101205e1f71f6303073c04a5f23c2ad7cbeeb8", "title": "Face Detection for Human Identification in Surveillance", "year": "2014", "pdf": [], "doi": []}, {"id": "69c0ee6c2344ee7408b5095b00fe8b162b732325", "title": "Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909613"]}, {"id": "0343f9401b98de36be957a30209fef45dd684270", "title": "On video based face recognition through adaptive sparse dictionary", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163134", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163134", "http://doi.org/10.1109/FG.2015.7163134"]}, {"id": "5bdfb28477ea9a8a1d4a28cba8675696e709555b", "title": "Learning Non-linear Reconstruction Models for Image Set Classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909643"]}, {"id": "33daea82ae459324e42aa703b5e9809b5e4bf9af", "title": "Learning Deep Match Kernels for Image-Set Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100144"]}, {"id": "875b00be3e95382c930692efb20633ae7994c08e", "title": "Face Tracking and Recognition via Incremental Local Sparse Representation", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6643722"]}, {"id": "02203deb1aba9f54e12c2bf89c3b4096435164ad", "title": "Optimizing over Radial Kernels on Compact Manifolds", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909881"]}, {"id": "4ea53e76246afae94758c1528002808374b75cfa", "title": "A Review of Scholastic Examination and Models for Face Recognition and Retrieval in Video", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4ea5/3e76246afae94758c1528002808374b75cfa.pdf"], "doi": []}, {"id": "36eb5ac678c49f29db681cbfab7576c0619b0df1", "title": "Human Motion Tracking using a Color-Based Particle Filter Driven by Optical Flow", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/e3c0/9607a14339f6e862ec74fbe6fdc83463ba63.pdf"], "doi": []}, {"id": "9a1dee546bdf48ab9028900ed034ae9d9da87c35", "title": "Multi-manifolds Discriminative Canonical Correlation Analysis for Image Set-Based Face Recognition", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s12559-016-9403-y"]}, {"id": "31a2fb63a3fc67da9932474cda078c9ac43f85c5", "title": "Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.0265.pdf"], "doi": []}, {"id": "b32631f456397462b3530757f3a73a2ccc362342", "title": "Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b326/31f456397462b3530757f3a73a2ccc362342.pdf"], "doi": []}, {"id": "8235f2f55ecfc80bd80cc1c2a1e8fe1e50bbec27", "title": "Computationally efficient application of the generic shape-illumination invariant to face recognition from video", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2011.07.002"]}, {"id": "a018e597608609018f3f11c4b8cda0cb2c6aff1e", "title": "Grassmann manifold for nearest points image set classification", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2015.09.008"]}, {"id": "e64b683e32525643a9ddb6b6af8b0472ef5b6a37", "title": "Face Recognition and Retrieval in Video", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/e64b/683e32525643a9ddb6b6af8b0472ef5b6a37.pdf"], "doi": []}, {"id": "4e47663416e0b45fbcfb9d67304f30409a8ddfa9", "title": "Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers", "year": "2008", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=630C1561D647723F6FA360B5E4CBA559?doi=10.1.1.309.6901&rep=rep1&type=pdf", "http://iris.usc.edu/Outlines/papers/2008/yu-dinh-medioni-eccv08.pdf", "http://iris.usc.edu/Vision-Users/OldUsers/qianyu/ECCV2008.pdf", "http://iris.usc.edu/people/thangdin/files/Thang_ECCV08.pdf"], "doi": ["https://doi.org/10.1007/978-3-540-88688-4_50"]}, {"id": "5d8eba56d0c1db6873abff7966956bb44e652d71", "title": "International Journal of Application or Innovation in Engineering & Management ( IJAIEM ) Web", "year": "", "pdf": ["https://pdfs.semanticscholar.org/5d8e/ba56d0c1db6873abff7966956bb44e652d71.pdf"], "doi": []}, {"id": "536807e72623afe885abc82a6ad075a2e48f8c17", "title": "Optimizing feature selection in video-based recognition using Max-Min Ant System for the online video contextual advertisement user-oriented system", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.jocs.2016.10.016"]}, {"id": "b885b656f6a5523e8c5d0b6bd6ac5a60ad8057e2", "title": "Combination of sequential class distributions from multiple channels using Markov fusion networks", "year": "2014", "pdf": [], "doi": ["https://doi.org/10.1007/s12193-014-0149-0"]}, {"id": "0b7e9fb57d91fa44aa5879c1024133c331ee8906", "title": "Lee Video-Based Face Recognition Based On State-Space Model", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0b7e/9fb57d91fa44aa5879c1024133c331ee8906.pdf"], "doi": []}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/unknown/youtube_faces.json b/site/datasets/unknown/youtube_faces.json index 6a17fd41..213acb79 100644 --- a/site/datasets/unknown/youtube_faces.json +++ b/site/datasets/unknown/youtube_faces.json @@ -1 +1 @@ -{"id": "560e0e58d0059259ddf86fcec1fa7975dee6a868", "citations": [{"id": "2348f1fa2940b01ec90e023fac8cc96812189774", "title": "Face verification based on convolutional neural network and deep learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8110157", "http://doi.ieeecomputersociety.org/10.1109/EWDTS.2017.8110157", "http://doi.org/10.1109/EWDTS.2017.8110157"]}, {"id": "38010ef51f34353d79d032991b703c1d158a9a16", "title": "A survey of image data indexing techniques", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10462-018-9673-8"]}, {"id": "b2ae5c496fe01bb2e2dee107f75b82c6a2a23374", "title": "Attention-Based Template Adaptation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961846", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.116", "http://doi.org/10.1109/FG.2017.116"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "title": "Bayesian face recognition using 2D Gaussian-Hermite moments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe0c/51fd41cb2d5afa1bc1900bbbadb38a0de139.pdf"], "doi": []}, {"id": "f61c13c3f842ecd88defbb53e4fab52cb6cb7967", "title": "Fast Kernel Matrix Computation for Big Data Clustering", "year": "2015", "pdf": ["http://ikee.lib.auth.gr/record/270847/files/Procedia.pdf", "http://www.cs.tut.fi/~iosifidi/files/conference/2015_ICCS_FKMC.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.procs.2015.05.352"]}, {"id": "9b666e20f570387214926eee542965f3fbe3cfce", "title": "Side Information for Face Completion: a Robust PCA Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07580.pdf"], "doi": []}, {"id": "38ab777923e09eb3aeb7c2560244c7fef50b0499", "title": "Towards Generalized and Efficient Metric Learning on Riemannian Manifold", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0449.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F449", "https://doi.org/10.24963/ijcai.2018/449"]}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "d3d39e419ac98db2de1a9d5a05cb0b4ca5cae8fd", "title": "The SVM-Minus Similarity Score for Video Face Recognition", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d523.pdf", "http://www.cs.tau.ac.il/~wolf/papers/svm-minus.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Wolf_The_SVM-Minus_Similarity_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619296", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.452", "http://doi.org/10.1109/CVPR.2013.452"]}, {"id": "5d01283474b73a46d80745ad0cc0c4da14aae194", "title": "Classification schemes based on Partial Least Squares for face identification", "year": "2015", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2015_JVCI.pdf"], "doi": ["http://doi.org/10.1016/j.jvcir.2015.08.005"]}, {"id": "944ea33211d67663e04d0181843db634e42cb2ca", "title": "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01159.pdf"], "doi": []}, {"id": "51c7236feaa2ae23cef78c7bca75c69d7081e24a", "title": "Deep multi-frame face super-resolution", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03196.pdf"], "doi": []}, {"id": "b32631f456397462b3530757f3a73a2ccc362342", "title": "Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b326/31f456397462b3530757f3a73a2ccc362342.pdf"], "doi": []}, {"id": "cdcfc75f54405c77478ab776eb407c598075d9f8", "title": "Learning Binary Codes for Maximum Inner Product Search", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Shen_Learning_Binary_Codes_ICCV_2015_paper.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV15_binary.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_binary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410829", "http://doi.org/10.1109/ICCV.2015.472", "https://doi.org/10.1109/ICCV.2015.472"]}, {"id": "1176c886afbd8685ecf0094450a02eb96b950f71", "title": "A Bayesian Hashing approach and its application to face recognition", "year": "2016", "pdf": ["http://www.yugangjiang.info/publication/Neurocomputing_BayesianHashing.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2016.05.097"]}, {"id": "08903bf161a1e8dec29250a752ce9e2a508a711c", "title": "Joint Dimensionality Reduction and Metric Learning: A Geometric Take", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e7f6/bfb9bb591eb1404ae13f0fa13ad4a3179150.pdf"], "doi": []}, {"id": "b28d061c0e26b4580f603c1fd919ce0c7a84c731", "title": "Face value of companies : deep learning for nonverbal communication", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b28d/061c0e26b4580f603c1fd919ce0c7a84c731.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.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": "4268ae436db79c4eee8bc06e9475caff3ff70d57", "title": "Five Principles for Crowd-Source Experiments in Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961814", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.146", "http://doi.org/10.1109/FG.2017.146"]}, {"id": "6ffdbac58e15e0ff084310b0a804520ad4bd013e", "title": "Study on using individual differences in facial expressions for a face recognition system immune to spoofing attacks", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2015.0078"]}, {"id": "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "title": "Features and methods for improving large scale face recognition", "year": "2015", "pdf": [], "doi": ["https://ora.ox.ac.uk/objects/uuid:7704244a-b327-4e5c-a58e-7bfe769ed988"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "2ad7cef781f98fd66101fa4a78e012369d064830", "title": "Neural Aggregation Network for Video Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.05474.pdf"], "doi": []}, {"id": "63cf5fc2ee05eb9c6613043f585dba48c5561192", "title": "Prototype Selection for Classification in Standard and Generalized Dissimilarity Spaces", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/63cf/5fc2ee05eb9c6613043f585dba48c5561192.pdf"], "doi": []}, {"id": "70341f61dfe2b92d8607814b52dfd0863a94310e", "title": "Impact of resolution and image quality on video face analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301750", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301750", "http://doi.org/10.1109/AVSS.2015.7301750"]}, {"id": "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "title": "Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575544"]}, {"id": "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "title": "Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S1060992X17020102"]}, {"id": "5da740682f080a70a30dc46b0fc66616884463ec", "title": "Real-Time Head Pose Estimation Using Multi-variate RVM on Faces in the Wild", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5da7/40682f080a70a30dc46b0fc66616884463ec.pdf"], "doi": []}, {"id": "1fbde67e87890e5d45864e66edb86136fbdbe20e", "title": "The Action Similarity Labeling Challenge", "year": "2012", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=29AAC1FEE14BE24B8F85A75F41F8A9CE?doi=10.1.1.400.8877&rep=rep1&type=pdf", "http://www.cs.tau.ac.il/~wolf/papers/aslan.pdf", "http://www.openu.ac.il/home/hassner/data/ASLAN/Papers/ASLAN_TPAMI12.pdf", "http://www.wisdom.weizmann.ac.il/mathusers/kliper/Papers/ASLAN_TPAMI12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6042884", "http://doi.org/10.1109/TPAMI.2011.209", "https://www.ncbi.nlm.nih.gov/pubmed/22262724", "https://www.wikidata.org/entity/Q44165124"]}, {"id": "f4d25431e4022e60c465b3f93abd0dbb08864453", "title": "Learning Structure and Strength of CNN Filters for Small Sample Size Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579072"]}, {"id": "20639423c42768d101b5fc6884edbed322a2ba7c", "title": "Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8429414"]}, {"id": "988d1295ec32ce41d06e7cf928f14a3ee079a11e", "title": "Semantic Deep Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/988d/1295ec32ce41d06e7cf928f14a3ee079a11e.pdf"], "doi": []}, {"id": "04bb3fa0824d255b01e9db4946ead9f856cc0b59", "title": "Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.07972.pdf"], "doi": []}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "d94c7a89adf6f568bbe1510910850d5083a58b4f", "title": "Deep Cross Modal Learning for Caricature Verification and Identification (CaVINet)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11688.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "2e1415a814ae9abace5550e4893e13bd988c7ba1", "title": "Dictionary Based Face Recognition in Video Using Fuzzy Clustering and", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2e14/15a814ae9abace5550e4893e13bd988c7ba1.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "110359824a0e3b6480102b108372793265a24a86", "title": "Landmark perturbation-based data augmentation for unconstrained face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.03.011"]}, {"id": "534159e498e9cc61ea10917347637a59af38142d", "title": "3D human action recognition model based on image set and regularized multi-task leaning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.01.126"]}, {"id": "4e061a302816f5890a621eb278c6efa6e37d7e2f", "title": "Discriminative Deep Metric Learning for Face Verification in the Wild", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Hu_Discriminative_Deep_Metric_2014_CVPR_paper.pdf", "https://3d869e85-a-62cb3a1a-s-sites.googlegroups.com/site/elujiwen/CVPR14.pdf?attachauth=ANoY7cqXcG4onAWfE6z3RtN1o7yJJjj84Xhj9a4KV1AHQVir4y8JsL0_F2bmBG-T0OOYhol37g9SbzkXrgL9e5AZ94VegxpIA0wALrnma-TeoHtXboqYql9wwJOV2ctIpuu-rTi1cDqBuOxd_H-hX4cBHJQIXTwCEQJv99mKt9l0Kdt6AU4yPwbDG5S7GpDNwYgwgTACw8N-BpJOIwyW1aJcyhy4xlRrAg%3D%3D&attredirects=1&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909638", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.242", "http://doi.org/10.1109/CVPR.2014.242"]}, {"id": "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "title": "Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441009", "http://doi.org/10.1109/SACI.2018.8441009", "https://doi.org/10.1109/SACI.2018.8441009"]}, {"id": "10e7dd3bbbfbc25661213155e0de1a9f043461a2", "title": "Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04200.pdf"], "doi": []}, {"id": "3393459600368be2c4c9878a3f65a57dcc0c2cfa", "title": "Eigen-PEP for Video Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3393/459600368be2c4c9878a3f65a57dcc0c2cfa.pdf"], "doi": []}, {"id": "a9ae55c83a8047c6cdf7c958fd3d4a6bfb0a13df", "title": "AcFR: Active Face Recognition Using Convolutional Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w1/papers/Nakada_AcFR_Active_Face_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014745", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.11", "http://doi.org/10.1109/CVPRW.2017.11"]}, {"id": "992eabece1baa0d8dc2516613a192b283e1921d9", "title": "Neural class-specific regression for face verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09642.pdf"], "doi": []}, {"id": "03ac1c694bc84a27621da6bfe73ea9f7210c6d45", "title": "Chapter 1 Introduction to information security foundations and applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03ac/1c694bc84a27621da6bfe73ea9f7210c6d45.pdf"], "doi": []}, {"id": "24a20ebfe86859e0d91c2b44188f115b58ba8d9c", "title": "The Dark Side of the Face: Exploring the Ultraviolet Spectrum for Face Biometrics", "year": "2018", "pdf": ["https://www.igd.fraunhofer.de/sites/default/files/media/biblio/2018/2018_samartzidis_the_dark_side_of_the_face_exploring_the_ultraviolet_spectrum_for_face_biometrics.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411220", "http://doi.org/10.1109/ICB2018.2018.00036"]}, {"id": "5e0eb34aeb2b58000726540336771053ecd335fc", "title": "Low-Quality Video Face Recognition with Deep Networks and Polygonal Chain Distance", "year": "2016", "pdf": ["http://ies.anthropomatik.kit.edu/ies/download/publ/ies_2016_herrmann_low_quality.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797061", "http://doi.org/10.1109/DICTA.2016.7797061"]}, {"id": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "bb0ecedde7d6e837dc9a5e115302a2aaad1035e1", "title": "Face Verification: Strategies for Employing Deep Models", "year": "2018", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2018/07/Face-Verification-Strategies-for-Employing-Deep-Models.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373838", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00045", "http://doi.org/10.1109/FG.2018.00045"]}, {"id": "914c009f13aaa3d10bbc5532c1ca3a5199db8185", "title": "A distributed framework for trimmed Kernel k-Means clustering", "year": "2015", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2015/8_N_Tsapanos_ADATKKMCBD.pdf", "https://research-information.bristol.ac.uk/files/74278750/Ioannis_Pitas_A_Distributed_Framework_for_Trimmed_Kernel_k_Means_Clustering_2015.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2015.02.020"]}, {"id": "c05ae45c262b270df1e99a32efa35036aae8d950", "title": "Predicting Facial Attributes in Video Using Temporal Coherence and Motion-Attention", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354120", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00017", "http://doi.org/10.1109/WACV.2018.00017"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "22043cbd2b70cb8195d8d0500460ddc00ddb1a62", "title": "Separability-Oriented Subclass Discriminant Analysis", "year": "2018", "pdf": ["http://uir.ulster.ac.uk/37137/2/Separability-Oriented%20Subclass%20Discriminant%20Analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7862266", "http://doi.org/10.1109/TPAMI.2017.2672557", "https://www.ncbi.nlm.nih.gov/pubmed/28237920", "https://www.wikidata.org/entity/Q38941846"]}, {"id": "7ef0cc4f3f7566f96f168123bac1e07053a939b2", "title": "Triangular Similarity Metric Learning: a Siamese Architecture Approach. ( L'apprentissage de similarit\u00e9 triangulaire en utilisant des r\u00e9seaux siamois)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e735/b8212d8a81909753291d5d06789a917014f8.pdf"], "doi": []}, {"id": "34c1e9a6166f4732d1738db803467f7abc47ba87", "title": "Image Set Classification Using Sparse Bayesian Regression", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926720", "http://doi.org/10.1109/WACV.2017.137"]}, {"id": "c903af0d69edacf8d1bff3bfd85b9470f6c4c243", "title": "Nystr\u00f6m-based approximate kernel subspace learning", "year": "2016", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_PR_NystromNPT.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.018"]}, {"id": "58542eeef9317ffab9b155579256d11efb4610f2", "title": "Face Recognition Revisited On Pose , Alignment , Color , Illumination And Expression-Pyten", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5854/2eeef9317ffab9b155579256d11efb4610f2.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": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "4874daed0f6a42d03011ed86e5ab46f231b02c13", "title": "GridFace: Face Rectification via Learning Local Homography Transformations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06210.pdf"], "doi": []}, {"id": "07e5bd5d3830e55dc85677821eea8256e252f966", "title": "Hierarchical Representation Learning for Kinship Verification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1805.10557.pdf"], "doi": []}, {"id": "03ac704621312e0dc6537ccfa1dfce507746e355", "title": "Group Collaborative Representation for Image Set Classification", "year": "2018", "pdf": ["https://www.stat.berkeley.edu/~mmahoney/pubs/GCR_IJCV.pdf"], "doi": ["https://doi.org/10.1007/s11263-018-1088-0"]}, {"id": "b72eebffe697008048781ab7b768e0c96e52236a", "title": "Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Discriminative_Covariance_Oriented_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wang_Discriminative_Covariance_Oriented_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Discriminative%20Covariance%20Oriented%20Representation%20Learning%20for%20Face%20Recognition%20with%20Image%20Sets_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100092", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.609", "http://doi.org/10.1109/CVPR.2017.609"]}, {"id": "33f4c796089ddf9aeb7bc1357e3add5fdc8ce4dd", "title": "Deep Continuous Clustering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.01449.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "97129acc201d6e86e21514ca9ed3fcc0877f1367", "title": "Scaling Datacenter Accelerators with Compute-Reuse Architectures", "year": "2018", "pdf": ["http://parallel.princeton.edu/papers/corex-isca18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8416840", "http://dl.acm.org/citation.cfm?id=3276575", "http://doi.org/10.1109/ISCA.2018.00038"]}, {"id": "831fbef657cc5e1bbf298ce6aad6b62f00a5b5d9", "title": "Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.05526.pdf"], "doi": []}, {"id": "2be24e8a3f2b89bdaccd02521eff3b7bb917003e", "title": "Quality-Aware Estimation of Facial Landmarks in Video Sequences", "year": "2015", "pdf": ["http://vbn.aau.dk/files/204136069/WACV_MAH.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045950", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.96", "http://doi.org/10.1109/WACV.2015.96"]}, {"id": "9fab78015e6e91ba7241a923222acd6c576c6e27", "title": "Clothes Advertising by Targeting Principal Actors in Video", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8057385", "http://doi.ieeecomputersociety.org/10.1109/ICSS.2016.10", "http://doi.org/10.1109/ICSS.2016.10"]}, {"id": "6080f26675e44f692dd722b61905af71c5260af8", "title": "Descriptor transition tables for object retrieval using unconstrained cluttered video acquired using a consumer level handheld mobile device", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05073.pdf"], "doi": []}, {"id": "6fa3857faba887ed048a9e355b3b8642c6aab1d8", "title": "Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fa3/857faba887ed048a9e355b3b8642c6aab1d8.pdf"], "doi": []}, {"id": "ce6f459462ea9419ca5adcc549d1d10e616c0213", "title": "A Survey on Face Identification Methodologies in Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ce6f/459462ea9419ca5adcc549d1d10e616c0213.pdf"], "doi": []}, {"id": "bd2d7c7f0145028e85c102fe52655c2b6c26aeb5", "title": "Attribute-based People Search: Lessons Learnt from a Practical Surveillance System", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2578732"]}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "4688787d064e59023a304f7c9af950d192ddd33e", "title": "Investigating the Discriminative Power of Keystroke Sound", "year": "2015", "pdf": ["http://cse.msu.edu/~liuxm/publication/Roth_Liu_Ross_Metaxas_TIFS.pdf", "http://www.cse.msu.edu/~rossarun/pubs/RothLiuRossMetaxasKeystrokeAcoustics_TIFS2015.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2015TIFS_Roth_Liu_Ross_Metaxas.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6966780", "http://doi.org/10.1109/TIFS.2014.2374424"]}, {"id": "9dfef52f45372ee76b63905606779080026dfeb1", "title": "The Best Practice of University and Community Cooperation in Open Source Software Project - TV Station Media Images Query System for Example", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8636329"]}, {"id": "533bfb82c54f261e6a2b7ed7d31a2fd679c56d18", "title": "Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/BestRowdenetal_UnconstrainedFaceRecognition_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/BestRowdenetal_UnconstrainedFaceRecognition_TechReport_MSU-CSE-14-1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905796", "http://doi.org/10.1109/TIFS.2014.2359577"]}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"], "doi": []}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "fdaf65b314faee97220162980e76dbc8f32db9d6", "title": "Face recognition using both visible light image and near-infrared image and a deep network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fdaf/65b314faee97220162980e76dbc8f32db9d6.pdf"], "doi": []}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "64e216c128164f56bc91a33c18ab461647384869", "title": "Low-resolution Convolutional Neural Networks for video face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738017", "http://doi.org/10.1109/AVSS.2016.7738017"]}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "e9b6804cd56cadb9342ec2ce412aacba7afd0723", "title": "Face recognition from video using generalized mean deep learning neural network", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743283"]}, {"id": "6dac0abef00a9f22b04973e396053476a12fba64", "title": "Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble", "year": "2015", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/conference/2015_BigDataSE_ALSOCSVM.pdf?dl=0", "https://research-information.bris.ac.uk/ws/files/75922781/Ioannis_Pitas_Large_scale_classification_by_an_approximate_least_squares_one_class_support_vector_machine_ensemble_2015.pdf", "https://research-information.bristol.ac.uk/files/75922781/Ioannis_Pitas_Large_scale_classification_by_an_approximate_least_squares_one_class_support_vector_machine_ensemble_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7345468", "http://doi.org/10.1109/Trustcom.2015.555"]}, {"id": "a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d", "title": "High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Xu_High_Performance_Large_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265434", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.224", "http://doi.org/10.1109/ICCVW.2017.224"]}, {"id": "d0a6a700779ac8cb70d7bb95f9a5afdda60152d9", "title": "Pyramid Mean Representation of Image Sequences for Fast Face Retrieval in Unconstrained Video Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d0a6/a700779ac8cb70d7bb95f9a5afdda60152d9.pdf"], "doi": []}, {"id": "021e008282714eaefc0796303f521c9e4f199d7e", "title": "NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354319", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00215", "http://doi.org/10.1109/WACV.2018.00215"]}, {"id": "5c01d8bffb5cf7a5f871e3c691f8dc7dba6e6da9", "title": "Survey of biometric pattern recognition via machine learning techniques", "year": "2018", "pdf": ["http://www.m-hikari.com/ces/ces2018/ces33-36-2018/p/hernandezCES33-36-2018-2.pdf"], "doi": ["https://doi.org/10.12988/ces.2018.84166"]}, {"id": "cbca355c5467f501d37b919d8b2a17dcb39d3ef9", "title": "Super-resolution of Very Low Resolution Faces from Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cbca/355c5467f501d37b919d8b2a17dcb39d3ef9.pdf"], "doi": []}, {"id": "0fb45e704ef3ca1f9c70e7be3fb93b53714ed8b5", "title": "Head Pose and Expression Transfer Using Facial Status Score", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961793", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.142", "http://doi.org/10.1109/FG.2017.142"]}, {"id": "098363b29eef1471c494382338687f2fe98f6e15", "title": "Metadata-Based Feature Aggregation Network for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411212", "http://doi.org/10.1109/ICB2018.2018.00028", "https://doi.org/10.1109/ICB2018.2018.00028"]}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "747fddd7345b60da121fc13c5440a18039b912e6", "title": "Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06106.pdf"], "doi": []}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": [], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "9f2984081ef88c20d43b29788fdf732ceabd5d6a", "title": "ClusterNet : Semi-Supervised Clustering using Neural Networks", "year": "2018", "pdf": [], "doi": ["http://arxiv.org/abs/1806.01547"]}, {"id": "70f189798c8b9f2b31c8b5566a5cf3107050b349", "title": "The challenge of face recognition from digital point-and-shoot cameras", "year": "2013", "pdf": ["http://biometrics.nist.gov/cs_links/face/PaSC/pasc2013_NISTIR.pdf", "http://www.cs.colostate.edu/~draper/papers/beveridge_btas13.pdf", "http://www.cs.colostate.edu/~vision/pasc/docs/pasc2013_NISTIR_061013.pdf", "http://www.cs.colostate.edu/~vision/publications/pasc2013_NISTIR_061013.pdf", "http://www3.nd.edu/~kwb/BeveridgeEtAlBTAS_2013.pdf", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=913139", "https://www3.nd.edu/~kwb/Beveridge_EtAl_BTAS_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6712704", "http://doi.org/10.1109/BTAS.2013.6712704"]}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73", "title": "A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/people/attach/Revision_COX_TIP_v3.0_1.pdf", "http://www.vision.ee.ethz.ch/~zzhiwu/papers/COX-Face-DB-TIP-final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7302053", "http://doi.org/10.1109/TIP.2015.2493448", "https://www.ncbi.nlm.nih.gov/pubmed/26513790"]}, {"id": "f4ac6d29b6f544370d53aaff88c007c14a1fddfb", "title": "Changes in Facial Expression as Biometric: A Database and Benchmarks of Identification", "year": "2018", "pdf": ["http://sergioescalera.com/wp-content/uploads/2018/05/FG2018_Expression-Change-Biometrics.pdf", "http://vbn.aau.dk/files/279731010/FG2018_Expression_Biometric_CameraReady.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373891", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00098", "http://doi.org/10.1109/FG.2018.00098"]}, {"id": "973022a1f9e30a624f5e8f7158b5bbb114f4af32", "title": "Searching a specific person in a specific location using deep features", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011138"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "d83583562f3536d5c13f8ca58925362f6878f5f4", "title": "Enhance Visual Recognition under Adverse Conditions via Deep Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07732.pdf"], "doi": []}, {"id": "8da32ff9e3759dc236878ac240728b344555e4e9", "title": "Investigating Nuisance Factors in Face Recognition with DCNN Representation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Ferrari_Investigating_Nuisance_Factors_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014820", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.86", "http://doi.org/10.1109/CVPRW.2017.86"]}, {"id": "da141474d85257ae65e45b3d4b3a9aa23e62724d", "title": "Learning techniques for multi-modal facial analysis", "year": "2015", "pdf": [], "doi": []}, {"id": "c3a53b308c7a75c66759cbfdf52359d9be4f552b", "title": "On Detecting Partially Occluded Faces with Pose Variations", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8121748", "http://doi.ieeecomputersociety.org/10.1109/ISPAN-FCST-ISCC.2017.16", "http://doi.org/10.1109/ISPAN-FCST-ISCC.2017.16"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "b8dba0504d6b4b557d51a6cf4de5507141db60cf", "title": "Comparing Performances of Big Data Stream Processing Platforms with RAM3S", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b8db/a0504d6b4b557d51a6cf4de5507141db60cf.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "945ef646679b6c575d3bbef9c6fc0a9629ac1b62", "title": "Learning a structured dictionary for video-based face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477689", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477689", "http://doi.org/10.1109/WACV.2016.7477689"]}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903705", "http://doi.org/10.1109/TPAMI.2017.2695183", "https://www.ncbi.nlm.nih.gov/pubmed/28436844", "https://www.wikidata.org/entity/Q47874946"]}, {"id": "384f972c81c52fe36849600728865ea50a0c4670", "title": "Multi-Fold Gabor, PCA, and ICA Filter Convolution Descriptor for Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1604.07057.pdf"], "doi": []}, {"id": "d4c7d1a7a03adb2338704d2be7467495f2eb6c7b", "title": "Explorer Towards a Neural Statistician", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61e6/895782a3ce61bc03d1bb23bced7fa3139ccd.pdf"], "doi": []}, {"id": "20a3ce81e7ddc1a121f4b13e439c4cbfb01adfba", "title": "Sparse-MVRVMs Tree for Fast and Accurate Head Pose Estimation in the Wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e805/bc872e18277c7cbfce82206cf1667cce22cc.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "cd6e32b00a53310f90a7138a41b855bf44129637", "title": "Persons-In-Places: a Deep Features Based Approach for Searching a Specific Person in a Specific Location", "year": "2017", "pdf": [], "doi": ["http://www.informatica.si/index.php/informatica/article/view/1664", "http://www.informatica.si/index.php/informatica/article/download/1664/1031"]}, {"id": "36bb5cca0f6a75be8e66f58cba214b90982ee52f", "title": "A Quantum Probability Inspired Framework for Image-Set Based Face Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961790", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.73", "http://doi.org/10.1109/FG.2017.73"]}, {"id": "f294278e03868257bfce132b8cf189359ada915a", "title": "Boosting Face in Video Recognition via CNN Based Key Frame Extraction", "year": "2018", "pdf": ["https://www.clarkson.edu/sites/default/files/2018-03/Boosting%20Face%20in%20Video%20Recognition%20via%20CNN%20based%20Key%20Frame%20Extraction.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411214", "http://doi.org/10.1109/ICB2018.2018.00030"]}, {"id": "224d0eee53c2aa5d426d2c9b7fa5d843a47cf1db", "title": "Probabilistic Elastic Matching for Pose Variant Face Verification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d499.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Probabilistic_Elastic_Matching_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/CVPR13-PEM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619293", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.449", "http://doi.org/10.1109/CVPR.2013.449"]}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "dea9b9619936bb00cf845cdf4478435da5363057", "title": "Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579049"]}, {"id": "4a6fcf714f663618657effc341ae5961784504c7", "title": "Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification", "year": "2016", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_TIFS_ACSKDA.pdf?dl=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494969", "http://doi.org/10.1109/TIFS.2016.2582562"]}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "ec00ecb64fa206cea8b2e716955a738a96424084", "title": "Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Hashemi_Intelligent_Synthesis_Driven_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265512", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.301", "http://doi.org/10.1109/ICCVW.2017.301"]}, {"id": "0343f9401b98de36be957a30209fef45dd684270", "title": "On video based face recognition through adaptive sparse dictionary", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163134", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163134", "http://doi.org/10.1109/FG.2015.7163134"]}, {"id": "377c6563f97e76a4dc836a0bd23d7673492b1aae", "title": "Motion deblurring of faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03330.pdf"], "doi": []}, {"id": "6f6ce988a13ac08071a0e3349f80b7c8adc7a49d", "title": "A detailed survey on 2D and 3D still face and face video databases part II", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6950080"]}, {"id": "99ced8f36d66dce20d121f3a29f52d8b27a1da6c", "title": "Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05675.pdf"], "doi": []}, {"id": "f6b4811c5e7111485e2c9cc5bf63f8ac80f3e2d7", "title": "Face Verification via Class Sparsity Based Supervised Encoding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470420", "http://doi.org/10.1109/TPAMI.2016.2569436", "https://www.ncbi.nlm.nih.gov/pubmed/27214891", "https://www.wikidata.org/entity/Q50510181"]}, {"id": "fab60b3db164327be8588bce6ce5e45d5b882db6", "title": "Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fab6/0b3db164327be8588bce6ce5e45d5b882db6.pdf"], "doi": []}, {"id": "b6967d6096294bbac242b6f27e1fee51da24eb11", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578645"]}, {"id": "56dca23481de9119aa21f9044efd7db09f618704", "title": "Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.02772.pdf"], "doi": []}, {"id": "7c2a6b27dd756fe851954e0c040bc87bbd39f098", "title": "Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w39/Xu_Using_Psychophysical_Methods_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575433", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00266", "http://doi.org/10.1109/CVPRW.2018.00266"]}, {"id": "5a1255d65e8309131638b3eb94aad5c52ab3629a", "title": "Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5a12/55d65e8309131638b3eb94aad5c52ab3629a.pdf"], "doi": []}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "c1f05b723e53ac4eb1133249b445c0011d42ca79", "title": "Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1162/neco_a_00990", "https://www.wikidata.org/entity/Q38733939"]}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "6cba90e81d460bb32188201a2c10622baa55015e", "title": "Approximate kernel extreme learning machine for large scale data classification", "year": "2017", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_NEUCOM_AKELM.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.023"]}, {"id": "b971266b29fcecf1d5efe1c4dcdc2355cb188ab0", "title": "On the Reconstruction of Face Images from Deep Face Templates.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.00832.pdf"], "doi": []}, {"id": "74419de59b2dd7d0a16484aa2aac621df514f5c4", "title": "Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00966.pdf"], "doi": []}, {"id": "c9984c07eb657d6693e2e205518c9f05cbed75ff", "title": "Scalable Laplacian K-modes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13044.pdf"], "doi": []}, {"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": "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": "c68ec931585847b37cde9f910f40b2091a662e83", "title": "A Comparative Evaluation of Dotted Raster-Stereography and Feature-Based Techniques for Automated Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c68e/c931585847b37cde9f910f40b2091a662e83.pdf"], "doi": []}, {"id": "4fac09969ee80d485876e3198c7177181c600a4a", "title": "Face Retrieval on Large-Scale Video Data", "year": "2015", "pdf": ["http://akme-a2.iosb.fraunhofer.de/EatThisGoogleScholar/d/2015_Face%20retrieval%20on%20large-scale%20video%20data.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7158339", "http://doi.ieeecomputersociety.org/10.1109/CRV.2015.32", "http://doi.org/10.1109/CRV.2015.32"]}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "30fd7b1f8502b1c1d7a855946d99d2d5323ec973", "title": "Big Data Analysis for 2 Media Production", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/30fd/7b1f8502b1c1d7a855946d99d2d5323ec973.pdf"], "doi": []}, {"id": "13fd0a4d06f30a665fc0f6938cea6572f3b496f7", "title": "Regularized Extreme Learning Machine for Large-scale Media Content Analysis", "year": "2015", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/conference/2015_INNS_RELM.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.procs.2015.07.319"]}, {"id": "bcfac093aa4a67d405a088e56ee4980872661070", "title": "Hybrid Data Storage Framework for the Biometrics Domain", "year": "2014", "pdf": [], "doi": []}, {"id": "a955033ca6716bf9957b362b77092592461664b4", "title": "Video Based Face Recognition Using Artificial Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a955/033ca6716bf9957b362b77092592461664b4.pdf"], "doi": []}, {"id": "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "title": "Facial Action Units Detection with Multi-Features and -AUs Fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961833", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.110", "http://doi.org/10.1109/FG.2017.110"]}, {"id": "2a612a7037646276ff98141d3e7abbc9c91fccb8", "title": "A Compact and Discriminative Face Track Descriptor", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Parkhi_A_Compact_and_2014_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~vedaldi//assets/pubs/parkhi14compact-presentation.pdf", "http://www.robots.ox.ac.uk/~vedaldi/assets/pubs/parkhi14compact.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2014/Parkhi14/parkhi14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909615", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.219", "http://doi.org/10.1109/CVPR.2014.219"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "7079c51423ff61a18692da993ce3113451bf262a", "title": "Face recognition in unconstrained images and videos", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7079/c51423ff61a18692da993ce3113451bf262a.pdf"], "doi": []}, {"id": "7fa00c81f7c2d8da1551334b0e7bc3d7fd43130c", "title": "Deep Reconstruction Models for Image Set Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6888522", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2353635", "http://doi.org/10.1109/TPAMI.2014.2353635", "https://www.ncbi.nlm.nih.gov/pubmed/26353289"]}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "3cd5b1d71c1d6a50fcc986589f2d0026c68d9803", "title": "On Sifts and Their Scales Lihi Zelnik-manor Technion", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3cd5/b1d71c1d6a50fcc986589f2d0026c68d9803.pdf"], "doi": []}, {"id": "60643bdab1c6261576e6610ea64ea0c0b200a28d", "title": "Multi-manifold metric learning for face recognition based on image sets", "year": "2014", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=08D9040248A65374A3E7B27F6E663DBA?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=C50050C87423C0F7786F79965EBC3FE4?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=F7EE4AA4D8CBDB1F78E966BCF4CBF01F?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf?isAllowed=y&sequence=1"], "doi": ["http://doi.org/10.1016/j.jvcir.2014.08.006"]}, {"id": "38f7f3c72e582e116f6f079ec9ae738894785b96", "title": "A New Technique for Face Matching after Plastic Surgery in Forensics", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/38f7/f3c72e582e116f6f079ec9ae738894785b96.pdf"], "doi": []}, {"id": "436d80cc1b52365ed7b2477c0b385b6fbbb51d3b", "title": "Probabilistic Knowledge Transfer for Deep Representation Learning", "year": "2018", "pdf": [], "doi": []}, {"id": "e378ce25579f3676ca50c8f6454e92a886b9e4d7", "title": "Robust Video Super-Resolution with Learned Temporal Dynamics", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Robust_Video_Super-Resolution_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237536", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.274", "http://doi.org/10.1109/ICCV.2017.274"]}, {"id": "03adcf58d947a412f3904a79f2ab51cfdf0e838a", "title": "Video-based face recognition : a survey", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/03ad/cf58d947a412f3904a79f2ab51cfdf0e838a.pdf"], "doi": []}, {"id": "59a35b63cf845ebf0ba31c290423e24eb822d245", "title": "The FaceSketchID System: Matching Facial Composites to Mugshots", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TechReport_MSU-CSE-14-6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6912947", "http://doi.org/10.1109/TIFS.2014.2360825"]}, {"id": "1fd2ed45fb3ba77f10c83f0eef3b66955645dfe0", "title": "Generalized Unsupervised Manifold Alignment", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1fd2/ed45fb3ba77f10c83f0eef3b66955645dfe0.pdf"], "doi": []}, {"id": "5b01d4338734aefb16ee82c4c59763d3abc008e6", "title": "A Robust Face Recognition Algorithm Based on Kernel Regularized Relevance-Weighted Discriminant Analysis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5b01/d4338734aefb16ee82c4c59763d3abc008e6.pdf"], "doi": []}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "bcc172a1051be261afacdd5313619881cbe0f676", "title": "A fast face clustering method for indexing applications on mobile phones", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002197.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952546", "http://doi.org/10.1109/ICASSP.2017.7952546"]}, {"id": "19808134b780b342e21f54b60095b181dfc7a600", "title": "SIFTing Through Scales", "year": "2017", "pdf": ["http://www.openu.ac.il/home/hassner/projects/siftscales/HassneretalTPAMI16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7516703", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2592916", "http://doi.org/10.1109/TPAMI.2016.2592916", "https://www.ncbi.nlm.nih.gov/pubmed/27448341"]}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "49df381ea2a1e7f4059346311f1f9f45dd997164", "title": "Client-Specific Anomaly Detection for Face Presentation Attack Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00848.pdf"], "doi": []}, {"id": "f2700e3d69d3cce2e0b1aea0d7f87e74aff437cd", "title": "Attention-Aware Deep Reinforcement Learning for Video Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Rao_Attention-Aware_Deep_Reinforcement_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237686", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.424", "http://doi.org/10.1109/ICCV.2017.424"]}, {"id": "43dce79cf815b5c7068b1678f6200dabf8f5de31", "title": "Deep multi-frame face hallucination for face identification", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1709.03196"]}]}
\ No newline at end of file +{"id": "560e0e58d0059259ddf86fcec1fa7975dee6a868", "citations": [{"id": "2348f1fa2940b01ec90e023fac8cc96812189774", "title": "Face verification based on convolutional neural network and deep learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8110157", "http://doi.ieeecomputersociety.org/10.1109/EWDTS.2017.8110157", "http://doi.org/10.1109/EWDTS.2017.8110157"]}, {"id": "38010ef51f34353d79d032991b703c1d158a9a16", "title": "A survey of image data indexing techniques", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10462-018-9673-8"]}, {"id": "b2ae5c496fe01bb2e2dee107f75b82c6a2a23374", "title": "Attention-Based Template Adaptation for Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961846", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.116", "http://doi.org/10.1109/FG.2017.116"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"], "doi": []}, {"id": "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "title": "Bayesian face recognition using 2D Gaussian-Hermite moments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe0c/51fd41cb2d5afa1bc1900bbbadb38a0de139.pdf"], "doi": []}, {"id": "f61c13c3f842ecd88defbb53e4fab52cb6cb7967", "title": "Fast Kernel Matrix Computation for Big Data Clustering", "year": "2015", "pdf": ["http://ikee.lib.auth.gr/record/270847/files/Procedia.pdf", "http://www.cs.tut.fi/~iosifidi/files/conference/2015_ICCS_FKMC.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.procs.2015.05.352"]}, {"id": "9b666e20f570387214926eee542965f3fbe3cfce", "title": "Side Information for Face Completion: a Robust PCA Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07580.pdf"], "doi": []}, {"id": "38ab777923e09eb3aeb7c2560244c7fef50b0499", "title": "Towards Generalized and Efficient Metric Learning on Riemannian Manifold", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0449.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F449", "https://doi.org/10.24963/ijcai.2018/449"]}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "d3d39e419ac98db2de1a9d5a05cb0b4ca5cae8fd", "title": "The SVM-Minus Similarity Score for Video Face Recognition", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d523.pdf", "http://www.cs.tau.ac.il/~wolf/papers/svm-minus.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Wolf_The_SVM-Minus_Similarity_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619296", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.452", "http://doi.org/10.1109/CVPR.2013.452"]}, {"id": "5d01283474b73a46d80745ad0cc0c4da14aae194", "title": "Classification schemes based on Partial Least Squares for face identification", "year": "2015", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2015_JVCI.pdf"], "doi": ["http://doi.org/10.1016/j.jvcir.2015.08.005"]}, {"id": "51c7236feaa2ae23cef78c7bca75c69d7081e24a", "title": "Deep multi-frame face super-resolution", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03196.pdf"], "doi": []}, {"id": "b32631f456397462b3530757f3a73a2ccc362342", "title": "Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b326/31f456397462b3530757f3a73a2ccc362342.pdf"], "doi": []}, {"id": "cdcfc75f54405c77478ab776eb407c598075d9f8", "title": "Learning Binary Codes for Maximum Inner Product Search", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Shen_Learning_Binary_Codes_ICCV_2015_paper.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV15_binary.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_binary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410829", "http://doi.org/10.1109/ICCV.2015.472", "https://doi.org/10.1109/ICCV.2015.472"]}, {"id": "1176c886afbd8685ecf0094450a02eb96b950f71", "title": "A Bayesian Hashing approach and its application to face recognition", "year": "2016", "pdf": ["http://www.yugangjiang.info/publication/Neurocomputing_BayesianHashing.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2016.05.097"]}, {"id": "08903bf161a1e8dec29250a752ce9e2a508a711c", "title": "Joint Dimensionality Reduction and Metric Learning: A Geometric Take", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e7f6/bfb9bb591eb1404ae13f0fa13ad4a3179150.pdf"], "doi": []}, {"id": "b28d061c0e26b4580f603c1fd919ce0c7a84c731", "title": "Face value of companies : deep learning for nonverbal communication", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b28d/061c0e26b4580f603c1fd919ce0c7a84c731.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.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": "4268ae436db79c4eee8bc06e9475caff3ff70d57", "title": "Five Principles for Crowd-Source Experiments in Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961814", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.146", "http://doi.org/10.1109/FG.2017.146"]}, {"id": "6ffdbac58e15e0ff084310b0a804520ad4bd013e", "title": "Study on using individual differences in facial expressions for a face recognition system immune to spoofing attacks", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2015.0078"]}, {"id": "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "title": "Features and methods for improving large scale face recognition", "year": "2015", "pdf": [], "doi": ["https://ora.ox.ac.uk/objects/uuid:7704244a-b327-4e5c-a58e-7bfe769ed988"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "2ad7cef781f98fd66101fa4a78e012369d064830", "title": "Neural Aggregation Network for Video Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.05474.pdf"], "doi": []}, {"id": "63cf5fc2ee05eb9c6613043f585dba48c5561192", "title": "Prototype Selection for Classification in Standard and Generalized Dissimilarity Spaces", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/63cf/5fc2ee05eb9c6613043f585dba48c5561192.pdf"], "doi": []}, {"id": "70341f61dfe2b92d8607814b52dfd0863a94310e", "title": "Impact of resolution and image quality on video face analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301750", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301750", "http://doi.org/10.1109/AVSS.2015.7301750"]}, {"id": "c1a371d8bff8cca6642be4035e7f55cecbf746c3", "title": "Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575544"]}, {"id": "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "title": "Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S1060992X17020102"]}, {"id": "5da740682f080a70a30dc46b0fc66616884463ec", "title": "Real-Time Head Pose Estimation Using Multi-variate RVM on Faces in the Wild", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5da7/40682f080a70a30dc46b0fc66616884463ec.pdf"], "doi": []}, {"id": "1fbde67e87890e5d45864e66edb86136fbdbe20e", "title": "The Action Similarity Labeling Challenge", "year": "2012", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=29AAC1FEE14BE24B8F85A75F41F8A9CE?doi=10.1.1.400.8877&rep=rep1&type=pdf", "http://www.cs.tau.ac.il/~wolf/papers/aslan.pdf", "http://www.openu.ac.il/home/hassner/data/ASLAN/Papers/ASLAN_TPAMI12.pdf", "http://www.wisdom.weizmann.ac.il/mathusers/kliper/Papers/ASLAN_TPAMI12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6042884", "http://doi.org/10.1109/TPAMI.2011.209", "https://www.ncbi.nlm.nih.gov/pubmed/22262724", "https://www.wikidata.org/entity/Q44165124"]}, {"id": "f4d25431e4022e60c465b3f93abd0dbb08864453", "title": "Learning Structure and Strength of CNN Filters for Small Sample Size Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579072"]}, {"id": "20639423c42768d101b5fc6884edbed322a2ba7c", "title": "Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8429414"]}, {"id": "988d1295ec32ce41d06e7cf928f14a3ee079a11e", "title": "Semantic Deep Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/988d/1295ec32ce41d06e7cf928f14a3ee079a11e.pdf"], "doi": []}, {"id": "04bb3fa0824d255b01e9db4946ead9f856cc0b59", "title": "Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.07972.pdf"], "doi": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"id": "d94c7a89adf6f568bbe1510910850d5083a58b4f", "title": "Deep Cross Modal Learning for Caricature Verification and Identification (CaVINet)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11688.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "2e1415a814ae9abace5550e4893e13bd988c7ba1", "title": "Dictionary Based Face Recognition in Video Using Fuzzy Clustering and", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2e14/15a814ae9abace5550e4893e13bd988c7ba1.pdf"], "doi": []}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "110359824a0e3b6480102b108372793265a24a86", "title": "Landmark perturbation-based data augmentation for unconstrained face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2016.03.011"]}, {"id": "534159e498e9cc61ea10917347637a59af38142d", "title": "3D human action recognition model based on image set and regularized multi-task leaning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.01.126"]}, {"id": "4e061a302816f5890a621eb278c6efa6e37d7e2f", "title": "Discriminative Deep Metric Learning for Face Verification in the Wild", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Hu_Discriminative_Deep_Metric_2014_CVPR_paper.pdf", "https://3d869e85-a-62cb3a1a-s-sites.googlegroups.com/site/elujiwen/CVPR14.pdf?attachauth=ANoY7cqXcG4onAWfE6z3RtN1o7yJJjj84Xhj9a4KV1AHQVir4y8JsL0_F2bmBG-T0OOYhol37g9SbzkXrgL9e5AZ94VegxpIA0wALrnma-TeoHtXboqYql9wwJOV2ctIpuu-rTi1cDqBuOxd_H-hX4cBHJQIXTwCEQJv99mKt9l0Kdt6AU4yPwbDG5S7GpDNwYgwgTACw8N-BpJOIwyW1aJcyhy4xlRrAg%3D%3D&attredirects=1&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909638", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.242", "http://doi.org/10.1109/CVPR.2014.242"]}, {"id": "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "title": "Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441009", "http://doi.org/10.1109/SACI.2018.8441009", "https://doi.org/10.1109/SACI.2018.8441009"]}, {"id": "10e7dd3bbbfbc25661213155e0de1a9f043461a2", "title": "Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04200.pdf"], "doi": []}, {"id": "3393459600368be2c4c9878a3f65a57dcc0c2cfa", "title": "Eigen-PEP for Video Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3393/459600368be2c4c9878a3f65a57dcc0c2cfa.pdf"], "doi": []}, {"id": "a9ae55c83a8047c6cdf7c958fd3d4a6bfb0a13df", "title": "AcFR: Active Face Recognition Using Convolutional Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w1/papers/Nakada_AcFR_Active_Face_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014745", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.11", "http://doi.org/10.1109/CVPRW.2017.11"]}, {"id": "992eabece1baa0d8dc2516613a192b283e1921d9", "title": "Neural class-specific regression for face verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09642.pdf"], "doi": []}, {"id": "03ac1c694bc84a27621da6bfe73ea9f7210c6d45", "title": "Chapter 1 Introduction to information security foundations and applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03ac/1c694bc84a27621da6bfe73ea9f7210c6d45.pdf"], "doi": []}, {"id": "24a20ebfe86859e0d91c2b44188f115b58ba8d9c", "title": "The Dark Side of the Face: Exploring the Ultraviolet Spectrum for Face Biometrics", "year": "2018", "pdf": ["https://www.igd.fraunhofer.de/sites/default/files/media/biblio/2018/2018_samartzidis_the_dark_side_of_the_face_exploring_the_ultraviolet_spectrum_for_face_biometrics.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411220", "http://doi.org/10.1109/ICB2018.2018.00036"]}, {"id": "5e0eb34aeb2b58000726540336771053ecd335fc", "title": "Low-Quality Video Face Recognition with Deep Networks and Polygonal Chain Distance", "year": "2016", "pdf": ["http://ies.anthropomatik.kit.edu/ies/download/publ/ies_2016_herrmann_low_quality.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797061", "http://doi.org/10.1109/DICTA.2016.7797061"]}, {"id": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "bb0ecedde7d6e837dc9a5e115302a2aaad1035e1", "title": "Face Verification: Strategies for Employing Deep Models", "year": "2018", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2018/07/Face-Verification-Strategies-for-Employing-Deep-Models.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373838", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00045", "http://doi.org/10.1109/FG.2018.00045"]}, {"id": "914c009f13aaa3d10bbc5532c1ca3a5199db8185", "title": "A distributed framework for trimmed Kernel k-Means clustering", "year": "2015", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2015/8_N_Tsapanos_ADATKKMCBD.pdf", "https://research-information.bristol.ac.uk/files/74278750/Ioannis_Pitas_A_Distributed_Framework_for_Trimmed_Kernel_k_Means_Clustering_2015.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2015.02.020"]}, {"id": "c05ae45c262b270df1e99a32efa35036aae8d950", "title": "Predicting Facial Attributes in Video Using Temporal Coherence and Motion-Attention", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354120", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00017", "http://doi.org/10.1109/WACV.2018.00017"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298803"]}, {"id": "22043cbd2b70cb8195d8d0500460ddc00ddb1a62", "title": "Separability-Oriented Subclass Discriminant Analysis", "year": "2018", "pdf": ["http://uir.ulster.ac.uk/37137/2/Separability-Oriented%20Subclass%20Discriminant%20Analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7862266", "http://doi.org/10.1109/TPAMI.2017.2672557", "https://www.ncbi.nlm.nih.gov/pubmed/28237920", "https://www.wikidata.org/entity/Q38941846"]}, {"id": "7ef0cc4f3f7566f96f168123bac1e07053a939b2", "title": "Triangular Similarity Metric Learning: a Siamese Architecture Approach. ( L'apprentissage de similarit\u00e9 triangulaire en utilisant des r\u00e9seaux siamois)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e735/b8212d8a81909753291d5d06789a917014f8.pdf"], "doi": []}, {"id": "34c1e9a6166f4732d1738db803467f7abc47ba87", "title": "Image Set Classification Using Sparse Bayesian Regression", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926720", "http://doi.org/10.1109/WACV.2017.137"]}, {"id": "c903af0d69edacf8d1bff3bfd85b9470f6c4c243", "title": "Nystr\u00f6m-based approximate kernel subspace learning", "year": "2016", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_PR_NystromNPT.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.018"]}, {"id": "58542eeef9317ffab9b155579256d11efb4610f2", "title": "Face Recognition Revisited On Pose , Alignment , Color , Illumination And Expression-Pyten", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5854/2eeef9317ffab9b155579256d11efb4610f2.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": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "07e5bd5d3830e55dc85677821eea8256e252f966", "title": "Hierarchical Representation Learning for Kinship Verification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1805.10557.pdf"], "doi": []}, {"id": "03ac704621312e0dc6537ccfa1dfce507746e355", "title": "Group Collaborative Representation for Image Set Classification", "year": "2018", "pdf": ["https://www.stat.berkeley.edu/~mmahoney/pubs/GCR_IJCV.pdf"], "doi": ["https://doi.org/10.1007/s11263-018-1088-0"]}, {"id": "b72eebffe697008048781ab7b768e0c96e52236a", "title": "Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Discriminative_Covariance_Oriented_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Wang_Discriminative_Covariance_Oriented_2017_CVPR_supplemental.pdf", "http://vipl.ict.ac.cn/homepage/rpwang/publications/Discriminative%20Covariance%20Oriented%20Representation%20Learning%20for%20Face%20Recognition%20with%20Image%20Sets_CVPR2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100092", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.609", "http://doi.org/10.1109/CVPR.2017.609"]}, {"id": "33f4c796089ddf9aeb7bc1357e3add5fdc8ce4dd", "title": "Deep Continuous Clustering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.01449.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "97129acc201d6e86e21514ca9ed3fcc0877f1367", "title": "Scaling Datacenter Accelerators with Compute-Reuse Architectures", "year": "2018", "pdf": ["http://parallel.princeton.edu/papers/corex-isca18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8416840", "http://dl.acm.org/citation.cfm?id=3276575", "http://doi.org/10.1109/ISCA.2018.00038"]}, {"id": "831fbef657cc5e1bbf298ce6aad6b62f00a5b5d9", "title": "Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.05526.pdf"], "doi": []}, {"id": "2be24e8a3f2b89bdaccd02521eff3b7bb917003e", "title": "Quality-Aware Estimation of Facial Landmarks in Video Sequences", "year": "2015", "pdf": ["http://vbn.aau.dk/files/204136069/WACV_MAH.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045950", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.96", "http://doi.org/10.1109/WACV.2015.96"]}, {"id": "9fab78015e6e91ba7241a923222acd6c576c6e27", "title": "Clothes Advertising by Targeting Principal Actors in Video", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8057385", "http://doi.ieeecomputersociety.org/10.1109/ICSS.2016.10", "http://doi.org/10.1109/ICSS.2016.10"]}, {"id": "6080f26675e44f692dd722b61905af71c5260af8", "title": "Descriptor transition tables for object retrieval using unconstrained cluttered video acquired using a consumer level handheld mobile device", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05073.pdf"], "doi": []}, {"id": "6fa3857faba887ed048a9e355b3b8642c6aab1d8", "title": "Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fa3/857faba887ed048a9e355b3b8642c6aab1d8.pdf"], "doi": []}, {"id": "ce6f459462ea9419ca5adcc549d1d10e616c0213", "title": "A Survey on Face Identification Methodologies in Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ce6f/459462ea9419ca5adcc549d1d10e616c0213.pdf"], "doi": []}, {"id": "bd2d7c7f0145028e85c102fe52655c2b6c26aeb5", "title": "Attribute-based People Search: Lessons Learnt from a Practical Surveillance System", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2578732"]}, {"id": "0077cd8f97cafd2b389783858a6e4ab7887b0b6b", "title": "Face Image Reconstruction from Deep Templates", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0077/cd8f97cafd2b389783858a6e4ab7887b0b6b.pdf"], "doi": []}, {"id": "4688787d064e59023a304f7c9af950d192ddd33e", "title": "Investigating the Discriminative Power of Keystroke Sound", "year": "2015", "pdf": ["http://cse.msu.edu/~liuxm/publication/Roth_Liu_Ross_Metaxas_TIFS.pdf", "http://www.cse.msu.edu/~rossarun/pubs/RothLiuRossMetaxasKeystrokeAcoustics_TIFS2015.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2015TIFS_Roth_Liu_Ross_Metaxas.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6966780", "http://doi.org/10.1109/TIFS.2014.2374424"]}, {"id": "9dfef52f45372ee76b63905606779080026dfeb1", "title": "The Best Practice of University and Community Cooperation in Open Source Software Project - TV Station Media Images Query System for Example", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8636329"]}, {"id": "533bfb82c54f261e6a2b7ed7d31a2fd679c56d18", "title": "Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/BestRowdenetal_UnconstrainedFaceRecognition_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/BestRowdenetal_UnconstrainedFaceRecognition_TechReport_MSU-CSE-14-1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6905796", "http://doi.org/10.1109/TIFS.2014.2359577"]}, {"id": "b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba", "title": "Recognizing Disguised Faces in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08837.pdf"], "doi": []}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "fdaf65b314faee97220162980e76dbc8f32db9d6", "title": "Face recognition using both visible light image and near-infrared image and a deep network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fdaf/65b314faee97220162980e76dbc8f32db9d6.pdf"], "doi": []}, {"id": "e79bacc03152ea55343e6af97bcd17d8904cf5ef", "title": "Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237669", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.407", "http://doi.org/10.1109/ICCV.2017.407"]}, {"id": "64e216c128164f56bc91a33c18ab461647384869", "title": "Low-resolution Convolutional Neural Networks for video face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738017", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738017", "http://doi.org/10.1109/AVSS.2016.7738017"]}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"], "doi": []}, {"id": "e9b6804cd56cadb9342ec2ce412aacba7afd0723", "title": "Face recognition from video using generalized mean deep learning neural network", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7743283"]}, {"id": "6dac0abef00a9f22b04973e396053476a12fba64", "title": "Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble", "year": "2015", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/conference/2015_BigDataSE_ALSOCSVM.pdf?dl=0", "https://research-information.bris.ac.uk/ws/files/75922781/Ioannis_Pitas_Large_scale_classification_by_an_approximate_least_squares_one_class_support_vector_machine_ensemble_2015.pdf", "https://research-information.bristol.ac.uk/files/75922781/Ioannis_Pitas_Large_scale_classification_by_an_approximate_least_squares_one_class_support_vector_machine_ensemble_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7345468", "http://doi.org/10.1109/Trustcom.2015.555"]}, {"id": "d0a6a700779ac8cb70d7bb95f9a5afdda60152d9", "title": "Pyramid Mean Representation of Image Sequences for Fast Face Retrieval in Unconstrained Video Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d0a6/a700779ac8cb70d7bb95f9a5afdda60152d9.pdf"], "doi": []}, {"id": "021e008282714eaefc0796303f521c9e4f199d7e", "title": "NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354319", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00215", "http://doi.org/10.1109/WACV.2018.00215"]}, {"id": "5c01d8bffb5cf7a5f871e3c691f8dc7dba6e6da9", "title": "Survey of biometric pattern recognition via machine learning techniques", "year": "2018", "pdf": ["http://www.m-hikari.com/ces/ces2018/ces33-36-2018/p/hernandezCES33-36-2018-2.pdf"], "doi": ["https://doi.org/10.12988/ces.2018.84166"]}, {"id": "cbca355c5467f501d37b919d8b2a17dcb39d3ef9", "title": "Super-resolution of Very Low Resolution Faces from Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cbca/355c5467f501d37b919d8b2a17dcb39d3ef9.pdf"], "doi": []}, {"id": "0fb45e704ef3ca1f9c70e7be3fb93b53714ed8b5", "title": "Head Pose and Expression Transfer Using Facial Status Score", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961793", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.142", "http://doi.org/10.1109/FG.2017.142"]}, {"id": "098363b29eef1471c494382338687f2fe98f6e15", "title": "Metadata-Based Feature Aggregation Network for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411212", "http://doi.org/10.1109/ICB2018.2018.00028", "https://doi.org/10.1109/ICB2018.2018.00028"]}, {"id": "747fddd7345b60da121fc13c5440a18039b912e6", "title": "Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06106.pdf"], "doi": []}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": [], "doi": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265404", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.194", "http://doi.org/10.1109/ICCVW.2017.194"]}, {"id": "9f2984081ef88c20d43b29788fdf732ceabd5d6a", "title": "ClusterNet : Semi-Supervised Clustering using Neural Networks", "year": "2018", "pdf": [], "doi": ["http://arxiv.org/abs/1806.01547"]}, {"id": "70f189798c8b9f2b31c8b5566a5cf3107050b349", "title": "The challenge of face recognition from digital point-and-shoot cameras", "year": "2013", "pdf": ["http://biometrics.nist.gov/cs_links/face/PaSC/pasc2013_NISTIR.pdf", "http://www.cs.colostate.edu/~draper/papers/beveridge_btas13.pdf", "http://www.cs.colostate.edu/~vision/pasc/docs/pasc2013_NISTIR_061013.pdf", "http://www.cs.colostate.edu/~vision/publications/pasc2013_NISTIR_061013.pdf", "http://www3.nd.edu/~kwb/BeveridgeEtAlBTAS_2013.pdf", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=913139", "https://www3.nd.edu/~kwb/Beveridge_EtAl_BTAS_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6712704", "http://doi.org/10.1109/BTAS.2013.6712704"]}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73", "title": "A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/people/attach/Revision_COX_TIP_v3.0_1.pdf", "http://www.vision.ee.ethz.ch/~zzhiwu/papers/COX-Face-DB-TIP-final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7302053", "http://doi.org/10.1109/TIP.2015.2493448", "https://www.ncbi.nlm.nih.gov/pubmed/26513790"]}, {"id": "f4ac6d29b6f544370d53aaff88c007c14a1fddfb", "title": "Changes in Facial Expression as Biometric: A Database and Benchmarks of Identification", "year": "2018", "pdf": ["http://sergioescalera.com/wp-content/uploads/2018/05/FG2018_Expression-Change-Biometrics.pdf", "http://vbn.aau.dk/files/279731010/FG2018_Expression_Biometric_CameraReady.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373891", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00098", "http://doi.org/10.1109/FG.2018.00098"]}, {"id": "973022a1f9e30a624f5e8f7158b5bbb114f4af32", "title": "Searching a specific person in a specific location using deep features", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011138"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"], "doi": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "d83583562f3536d5c13f8ca58925362f6878f5f4", "title": "Enhance Visual Recognition under Adverse Conditions via Deep Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07732.pdf"], "doi": []}, {"id": "8da32ff9e3759dc236878ac240728b344555e4e9", "title": "Investigating Nuisance Factors in Face Recognition with DCNN Representation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Ferrari_Investigating_Nuisance_Factors_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014820", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.86", "http://doi.org/10.1109/CVPRW.2017.86"]}, {"id": "da141474d85257ae65e45b3d4b3a9aa23e62724d", "title": "Learning techniques for multi-modal facial analysis", "year": "2015", "pdf": [], "doi": []}, {"id": "c3a53b308c7a75c66759cbfdf52359d9be4f552b", "title": "On Detecting Partially Occluded Faces with Pose Variations", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8121748", "http://doi.ieeecomputersociety.org/10.1109/ISPAN-FCST-ISCC.2017.16", "http://doi.org/10.1109/ISPAN-FCST-ISCC.2017.16"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "b8dba0504d6b4b557d51a6cf4de5507141db60cf", "title": "Comparing Performances of Big Data Stream Processing Platforms with RAM3S", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b8db/a0504d6b4b557d51a6cf4de5507141db60cf.pdf"], "doi": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "945ef646679b6c575d3bbef9c6fc0a9629ac1b62", "title": "Learning a structured dictionary for video-based face recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477689", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477689", "http://doi.org/10.1109/WACV.2016.7477689"]}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903705", "http://doi.org/10.1109/TPAMI.2017.2695183", "https://www.ncbi.nlm.nih.gov/pubmed/28436844", "https://www.wikidata.org/entity/Q47874946"]}, {"id": "384f972c81c52fe36849600728865ea50a0c4670", "title": "Multi-Fold Gabor, PCA, and ICA Filter Convolution Descriptor for Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1604.07057.pdf"], "doi": []}, {"id": "d4c7d1a7a03adb2338704d2be7467495f2eb6c7b", "title": "Explorer Towards a Neural Statistician", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61e6/895782a3ce61bc03d1bb23bced7fa3139ccd.pdf"], "doi": []}, {"id": "20a3ce81e7ddc1a121f4b13e439c4cbfb01adfba", "title": "Sparse-MVRVMs Tree for Fast and Accurate Head Pose Estimation in the Wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e805/bc872e18277c7cbfce82206cf1667cce22cc.pdf"], "doi": []}, {"id": "cd6e32b00a53310f90a7138a41b855bf44129637", "title": "Persons-In-Places: a Deep Features Based Approach for Searching a Specific Person in a Specific Location", "year": "2017", "pdf": [], "doi": ["http://www.informatica.si/index.php/informatica/article/view/1664", "http://www.informatica.si/index.php/informatica/article/download/1664/1031"]}, {"id": "36bb5cca0f6a75be8e66f58cba214b90982ee52f", "title": "A Quantum Probability Inspired Framework for Image-Set Based Face Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961790", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.73", "http://doi.org/10.1109/FG.2017.73"]}, {"id": "f294278e03868257bfce132b8cf189359ada915a", "title": "Boosting Face in Video Recognition via CNN Based Key Frame Extraction", "year": "2018", "pdf": ["https://www.clarkson.edu/sites/default/files/2018-03/Boosting%20Face%20in%20Video%20Recognition%20via%20CNN%20based%20Key%20Frame%20Extraction.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411214", "http://doi.org/10.1109/ICB2018.2018.00030"]}, {"id": "224d0eee53c2aa5d426d2c9b7fa5d843a47cf1db", "title": "Probabilistic Elastic Matching for Pose Variant Face Verification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d499.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Probabilistic_Elastic_Matching_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/CVPR13-PEM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619293", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.449", "http://doi.org/10.1109/CVPR.2013.449"]}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "dea9b9619936bb00cf845cdf4478435da5363057", "title": "Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579049"]}, {"id": "4a6fcf714f663618657effc341ae5961784504c7", "title": "Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification", "year": "2016", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_TIFS_ACSKDA.pdf?dl=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7494969", "http://doi.org/10.1109/TIFS.2016.2582562"]}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578946"]}, {"id": "ec00ecb64fa206cea8b2e716955a738a96424084", "title": "Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Hashemi_Intelligent_Synthesis_Driven_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265512", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.301", "http://doi.org/10.1109/ICCVW.2017.301"]}, {"id": "0343f9401b98de36be957a30209fef45dd684270", "title": "On video based face recognition through adaptive sparse dictionary", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163134", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163134", "http://doi.org/10.1109/FG.2015.7163134"]}, {"id": "377c6563f97e76a4dc836a0bd23d7673492b1aae", "title": "Motion deblurring of faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03330.pdf"], "doi": []}, {"id": "6f6ce988a13ac08071a0e3349f80b7c8adc7a49d", "title": "A detailed survey on 2D and 3D still face and face video databases part II", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6950080"]}, {"id": "99ced8f36d66dce20d121f3a29f52d8b27a1da6c", "title": "Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05675.pdf"], "doi": []}, {"id": "f6b4811c5e7111485e2c9cc5bf63f8ac80f3e2d7", "title": "Face Verification via Class Sparsity Based Supervised Encoding", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470420", "http://doi.org/10.1109/TPAMI.2016.2569436", "https://www.ncbi.nlm.nih.gov/pubmed/27214891", "https://www.wikidata.org/entity/Q50510181"]}, {"id": "fab60b3db164327be8588bce6ce5e45d5b882db6", "title": "Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fab6/0b3db164327be8588bce6ce5e45d5b882db6.pdf"], "doi": []}, {"id": "b6967d6096294bbac242b6f27e1fee51da24eb11", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578645"]}, {"id": "56dca23481de9119aa21f9044efd7db09f618704", "title": "Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.02772.pdf"], "doi": []}, {"id": "7c2a6b27dd756fe851954e0c040bc87bbd39f098", "title": "Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w39/Xu_Using_Psychophysical_Methods_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575433", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00266", "http://doi.org/10.1109/CVPRW.2018.00266"]}, {"id": "5a1255d65e8309131638b3eb94aad5c52ab3629a", "title": "Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5a12/55d65e8309131638b3eb94aad5c52ab3629a.pdf"], "doi": []}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "c1f05b723e53ac4eb1133249b445c0011d42ca79", "title": "Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1162/neco_a_00990", "https://www.wikidata.org/entity/Q38733939"]}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "6cba90e81d460bb32188201a2c10622baa55015e", "title": "Approximate kernel extreme learning machine for large scale data classification", "year": "2017", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_NEUCOM_AKELM.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.023"]}, {"id": "b971266b29fcecf1d5efe1c4dcdc2355cb188ab0", "title": "On the Reconstruction of Face Images from Deep Face Templates.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.00832.pdf"], "doi": []}, {"id": "74419de59b2dd7d0a16484aa2aac621df514f5c4", "title": "Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00966.pdf"], "doi": []}, {"id": "c9984c07eb657d6693e2e205518c9f05cbed75ff", "title": "Scalable Laplacian K-modes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13044.pdf"], "doi": []}, {"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": "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": "c68ec931585847b37cde9f910f40b2091a662e83", "title": "A Comparative Evaluation of Dotted Raster-Stereography and Feature-Based Techniques for Automated Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c68e/c931585847b37cde9f910f40b2091a662e83.pdf"], "doi": []}, {"id": "4fac09969ee80d485876e3198c7177181c600a4a", "title": "Face Retrieval on Large-Scale Video Data", "year": "2015", "pdf": ["http://akme-a2.iosb.fraunhofer.de/EatThisGoogleScholar/d/2015_Face%20retrieval%20on%20large-scale%20video%20data.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7158339", "http://doi.ieeecomputersociety.org/10.1109/CRV.2015.32", "http://doi.org/10.1109/CRV.2015.32"]}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"], "doi": []}, {"id": "30fd7b1f8502b1c1d7a855946d99d2d5323ec973", "title": "Big Data Analysis for 2 Media Production", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/30fd/7b1f8502b1c1d7a855946d99d2d5323ec973.pdf"], "doi": []}, {"id": "13fd0a4d06f30a665fc0f6938cea6572f3b496f7", "title": "Regularized Extreme Learning Machine for Large-scale Media Content Analysis", "year": "2015", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/conference/2015_INNS_RELM.pdf?dl=0"], "doi": ["http://doi.org/10.1016/j.procs.2015.07.319"]}, {"id": "bcfac093aa4a67d405a088e56ee4980872661070", "title": "Hybrid Data Storage Framework for the Biometrics Domain", "year": "2014", "pdf": [], "doi": []}, {"id": "a955033ca6716bf9957b362b77092592461664b4", "title": "Video Based Face Recognition Using Artificial Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a955/033ca6716bf9957b362b77092592461664b4.pdf"], "doi": []}, {"id": "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "title": "Facial Action Units Detection with Multi-Features and -AUs Fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961833", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.110", "http://doi.org/10.1109/FG.2017.110"]}, {"id": "2a612a7037646276ff98141d3e7abbc9c91fccb8", "title": "A Compact and Discriminative Face Track Descriptor", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Parkhi_A_Compact_and_2014_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~vedaldi//assets/pubs/parkhi14compact-presentation.pdf", "http://www.robots.ox.ac.uk/~vedaldi/assets/pubs/parkhi14compact.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2014/Parkhi14/parkhi14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909615", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.219", "http://doi.org/10.1109/CVPR.2014.219"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"], "doi": []}, {"id": "7079c51423ff61a18692da993ce3113451bf262a", "title": "Face recognition in unconstrained images and videos", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7079/c51423ff61a18692da993ce3113451bf262a.pdf"], "doi": []}, {"id": "7fa00c81f7c2d8da1551334b0e7bc3d7fd43130c", "title": "Deep Reconstruction Models for Image Set Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6888522", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2353635", "http://doi.org/10.1109/TPAMI.2014.2353635", "https://www.ncbi.nlm.nih.gov/pubmed/26353289"]}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "3cd5b1d71c1d6a50fcc986589f2d0026c68d9803", "title": "On Sifts and Their Scales Lihi Zelnik-manor Technion", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3cd5/b1d71c1d6a50fcc986589f2d0026c68d9803.pdf"], "doi": []}, {"id": "60643bdab1c6261576e6610ea64ea0c0b200a28d", "title": "Multi-manifold metric learning for face recognition based on image sets", "year": "2014", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=08D9040248A65374A3E7B27F6E663DBA?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=C50050C87423C0F7786F79965EBC3FE4?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=F7EE4AA4D8CBDB1F78E966BCF4CBF01F?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf?isAllowed=y&sequence=1"], "doi": ["http://doi.org/10.1016/j.jvcir.2014.08.006"]}, {"id": "38f7f3c72e582e116f6f079ec9ae738894785b96", "title": "A New Technique for Face Matching after Plastic Surgery in Forensics", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/38f7/f3c72e582e116f6f079ec9ae738894785b96.pdf"], "doi": []}, {"id": "436d80cc1b52365ed7b2477c0b385b6fbbb51d3b", "title": "Probabilistic Knowledge Transfer for Deep Representation Learning", "year": "2018", "pdf": [], "doi": []}, {"id": "e378ce25579f3676ca50c8f6454e92a886b9e4d7", "title": "Robust Video Super-Resolution with Learned Temporal Dynamics", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Robust_Video_Super-Resolution_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237536", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.274", "http://doi.org/10.1109/ICCV.2017.274"]}, {"id": "03adcf58d947a412f3904a79f2ab51cfdf0e838a", "title": "Video-based face recognition : a survey", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/03ad/cf58d947a412f3904a79f2ab51cfdf0e838a.pdf"], "doi": []}, {"id": "59a35b63cf845ebf0ba31c290423e24eb822d245", "title": "The FaceSketchID System: Matching Facial Composites to Mugshots", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TechReport_MSU-CSE-14-6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6912947", "http://doi.org/10.1109/TIFS.2014.2360825"]}, {"id": "1fd2ed45fb3ba77f10c83f0eef3b66955645dfe0", "title": "Generalized Unsupervised Manifold Alignment", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1fd2/ed45fb3ba77f10c83f0eef3b66955645dfe0.pdf"], "doi": []}, {"id": "5b01d4338734aefb16ee82c4c59763d3abc008e6", "title": "A Robust Face Recognition Algorithm Based on Kernel Regularized Relevance-Weighted Discriminant Analysis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5b01/d4338734aefb16ee82c4c59763d3abc008e6.pdf"], "doi": []}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "2ea78e128bec30fb1a623c55ad5d55bb99190bd2", "title": "Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2ea7/8e128bec30fb1a623c55ad5d55bb99190bd2.pdf"], "doi": []}, {"id": "bcc172a1051be261afacdd5313619881cbe0f676", "title": "A fast face clustering method for indexing applications on mobile phones", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002197.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952546", "http://doi.org/10.1109/ICASSP.2017.7952546"]}, {"id": "19808134b780b342e21f54b60095b181dfc7a600", "title": "SIFTing Through Scales", "year": "2017", "pdf": ["http://www.openu.ac.il/home/hassner/projects/siftscales/HassneretalTPAMI16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7516703", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2592916", "http://doi.org/10.1109/TPAMI.2016.2592916", "https://www.ncbi.nlm.nih.gov/pubmed/27448341"]}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "49df381ea2a1e7f4059346311f1f9f45dd997164", "title": "Client-Specific Anomaly Detection for Face Presentation Attack Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00848.pdf"], "doi": []}, {"id": "f2700e3d69d3cce2e0b1aea0d7f87e74aff437cd", "title": "Attention-Aware Deep Reinforcement Learning for Video Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Rao_Attention-Aware_Deep_Reinforcement_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237686", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.424", "http://doi.org/10.1109/ICCV.2017.424"]}, {"id": "43dce79cf815b5c7068b1678f6200dabf8f5de31", "title": "Deep multi-frame face hallucination for face identification", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1709.03196"]}]}
\ No newline at end of file |