diff options
Diffstat (limited to 'site/datasets/final/duke_mtmc.json')
| -rw-r--r-- | site/datasets/final/duke_mtmc.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/final/duke_mtmc.json b/site/datasets/final/duke_mtmc.json index 1a8177ac..025e0073 100644 --- a/site/datasets/final/duke_mtmc.json +++ b/site/datasets/final/duke_mtmc.json @@ -1 +1 @@ -{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "dataset": {"key": "duke_mtmc", "name_short": "Duke MTMC", "name_display": "Duke MTMC Dataset", "name_full": "Duke Multi-Target, Multi-Camera Tracking Project", "purpose": "Person re-identification and multi-camera tracking", "comment": "DukeMTMC-reID is a subset of DukeMTMC ", "funded_by": "", "license": "CC BY-NC-SA 4.0", "url": "http://vision.cs.duke.edu/DukeMTMC/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "2,000,000 ", "videos": "", "identities": "1,812 ", "img_per_person": "", "num_cameras": "8", "faces_or_persons": "36411", "female": "", "male": "", "landmarks": "", "width": "1920", "height": "1080", "color": "Y", "gray": "", "tags": "ped_detect, pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "Berit, wrong number of identities", "derivative_of": ""}, "paper": {"paper_id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "key": "duke_mtmc", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "name": "Duke MTMC", "doi": []}, "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "additional_papers": [{"paper_id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "key": "duke_mtmc", "title": "Improving Person Re-identification by Attribute and Identity Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "address": "", "name": "Duke MTMC", "doi": []}, {"paper_id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "key": "duke_mtmc", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "address": "", "name": "Duke MTMC", "doi": []}, {"paper_id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "key": "duke_mtmc", "title": "Tracking Multiple People Online and in Real Time", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "address": "", "name": "Duke MTMC", "doi": []}], "citations": [{"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"]}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"]}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"]}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"]}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"]}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": []}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"]}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"]}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"]}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"]}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"]}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": []}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": []}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"]}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"]}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": []}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"]}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"]}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"]}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"]}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"]}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": []}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"]}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"]}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"]}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": []}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"]}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"]}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"]}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"]}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"]}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"]}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"]}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"]}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"]}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": []}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"]}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"]}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": []}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"]}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"]}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"]}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"]}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"]}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"]}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"]}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"]}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"]}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"]}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"]}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"]}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"]}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"]}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"]}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"]}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"]}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"]}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": []}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": []}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": []}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"]}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"]}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"]}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": []}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"]}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"]}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"]}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"]}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"]}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"]}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"]}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"]}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"]}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"]}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"]}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"]}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"]}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"]}, {"id": "8c7ee7acf850562e7515a3e01800c98cc393e62b", "title": "Joint Head Attribute Classifier and Domain-Specific Refinement Networks for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "1ec8e7879c616a53dbc7903705d5b0840c1945ad", "title": "Pedestrian attributes recognition in surveillance scenarios with hierarchical multi-task CNN models", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"]}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": []}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"]}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": []}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": []}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"]}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": []}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"]}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"]}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"]}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": []}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": []}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"]}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"]}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"]}, {"id": "2ac02e4021d903a6d115cc774a3ee7cbf8a532a5", "title": "Joint tracking with event grouping and temporal constraints", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": []}, {"id": "5c976886fcda366d138038f796a1bd9e8e9b5066", "title": "LSTM Multiple Object Tracker Combining Multiple Cues", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"]}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"]}]}
\ No newline at end of file +{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "dataset": {"key": "duke_mtmc", "name_short": "Duke MTMC", "name_display": "Duke MTMC Dataset", "name_full": "Duke Multi-Target, Multi-Camera Tracking Project", "purpose": "Person re-identification and multi-camera tracking", "comment": "DukeMTMC-reID is a subset of DukeMTMC ", "funded_by": "", "license": "CC BY-NC-SA 4.0", "url": "http://vision.cs.duke.edu/DukeMTMC/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "", "parent": "", "source": "cctv", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "2,000,000 ", "videos": "", "identities": "1,812 ", "img_per_person": "", "num_cameras": "8", "faces_or_persons": "36411", "female": "", "male": "", "landmarks": "", "width": "1920", "height": "1080", "color": "Y", "gray": "", "tags": "ped_detect, pr_id", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "Berit, wrong number of identities", "derivative_of": ""}, "paper": {"paper_id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "key": "duke_mtmc", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "address": {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}, "name": "Duke MTMC", "doi": []}, "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "additional_papers": [{"paper_id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "key": "duke_mtmc", "title": "Improving Person Re-identification by Attribute and Identity Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "address": "", "name": "Duke MTMC", "doi": []}, {"paper_id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "key": "duke_mtmc", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "address": "", "name": "Duke MTMC", "doi": []}, {"paper_id": "64e0690dd176a93de9d4328f6e31fc4afe1e7536", "key": "duke_mtmc", "title": "Tracking Multiple People Online and in Real Time", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf"], "address": "", "name": "Duke MTMC", "doi": []}], "citations": [{"id": "d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6", "title": "Generalizing a Person Retrieval Model Hetero- and Homogeneously", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf"], "doi": []}, {"id": "1e2f07f7231eef629c78cba4ada0c9be29d77254", "title": "Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240539"]}, {"id": "927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c", "title": "Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"], "doi": []}, {"id": "5b309f6d98c503efb679eda51bd898543fb746f9", "title": "In Defense of the Classification Loss for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05864.pdf"], "doi": []}, {"id": "c9b98c98357a154bceb2287c427c5fa9c17b4a07", "title": "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05872.pdf"], "doi": []}, {"id": "fe3f8826f615cc5ada33b01777b9f9dc93e0023c", "title": "Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07702.pdf"], "doi": []}, {"id": "974fea3530307da6d22ef91c6765f5404514b3c5", "title": "Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School & Peking University", "source_name": "Peking University Shenzhen Graduate School & Peking University, Shenzhen, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240606"]}, {"id": "2788a2461ed0067e2f7aaa63c449a24a237ec341", "title": "Random Erasing Data Augmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04896.pdf"], "doi": []}, {"id": "9643dabbf1771d2d82ded2fde3baaa15a67f6e56", "title": "Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification", "addresses": [{"name": "California State University, San Marcos", "source_name": "College of Science and Mathematics, California State University, San Marcos, CA, USA", "street_adddress": "5500 Campanile Dr, San Diego, CA 92182, USA", "lat": "32.77682330", "lng": "-117.06934070", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502102"]}, {"id": "42af47b99e972f2f5f1897f00082f37496aeb7e8", "title": "Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001643.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462063", "http://doi.org/10.1109/ICASSP.2018.8462063"]}, {"id": "e323bbaef9ea9a6257b7464e4cc146d690d0d55b", "title": "Single-Label Multi-Class Image Classification by Deep Logistic Regression", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.08400.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "ed27bc6e3c0e099d02150fcaef140f96f17f1e39", "title": "Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499058", "http://doi.org/10.1109/BigMM.2018.8499058"]}, {"id": "a0dfc588cd1bc35a06734a31fca81e7adc94b940", "title": "Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Temple University", "source_name": "Temple University", "street_adddress": "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "lat": "39.95472495", "lng": "-75.15346905", "type": "edu", "country": "United States"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08580.pdf"], "doi": []}, {"id": "001973a77bf8fa82314de667af5b041d856b0069", "title": "Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04555.pdf"], "doi": []}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "8a0e2cc67b5567d3baf381b076adad6fbb8c7946", "title": "Customer Loyalty in Go-Food: The Antecedent of Satisfaction", "addresses": [{"name": "Universitas Indonesia, Depok, Indonesia", "source_name": "Universitas Indonesia, Depok, Indonesia", "street_adddress": "Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia", "lat": "-6.36276380", "lng": "106.82704820", "type": "edu", "country": "Indonesia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8618250"]}, {"id": "5b062562a8067baae045df1c7f5a8455d0363b5a", "title": "SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06996.pdf"], "doi": []}, {"id": "04ca65f1454f1014ef5af5bfafb7aee576ee1be6", "title": "Densely Semantically Aligned Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.08967.pdf"], "doi": []}, {"id": "e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68", "title": "A novel two-stream saliency image fusion CNN architecture for person re-identification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0583-4"]}, {"id": "7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20", "title": "Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09937.pdf"], "doi": []}, {"id": "d4a5c9b2197b6bc476aa296b8d59515c9684e97d", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240585"]}, {"id": "c2a5f27d97744bc1f96d7e1074395749e3c59bc8", "title": "Horizontal Pyramid Matching for Person Re-identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.05275.pdf"], "doi": []}, {"id": "8ba606d7667c50054d74083867230abbed755574", "title": "ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01268.pdf"], "doi": []}, {"id": "08b28a8f2699501d46d87956cbaa37255000daa3", "title": "MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "University of Wollongong", "source_name": "University of Wollongong", "street_adddress": "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "lat": "-34.40505545", "lng": "150.87834655", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03864.pdf"], "doi": []}, {"id": "baf5ab5e8972e9366951b7e66951e05e2a4b3e36", "title": "Harmonious Attention Network for Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08122.pdf"], "doi": []}, {"id": "eb0593aee32f29a300e25628bfae7f2e260c6e9f", "title": "A computationally efficient pipeline for camera-based indoor person tracking", "addresses": [{"name": "University of Auckland", "source_name": "University of Auckland", "street_adddress": "Auckland 1010, New Zealand", "lat": "-36.85233780", "lng": "174.76910730", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8402479", "http://doi.org/10.1109/IVCNZ.2017.8402479"]}, {"id": "cbf5b3469c7216c37733efca6c2cdb94357b14a7", "title": "Person Re-identification Based on Feature Fusion and Triplet Loss Function", "addresses": [{"name": "South-Central University for Nationalities", "source_name": "College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China", "street_adddress": "708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.49176600", "lng": "114.39623700", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546082", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546082", "http://doi.org/10.1109/ICPR.2018.8546082"]}, {"id": "3b24dcb3a1ff4811386b3467943c0ccad266bc99", "title": "Adaptive Re-ranking of Deep Feature for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08561.pdf"], "doi": []}, {"id": "315df9b7dd354ae78ddf1049fb428b086eee632c", "title": "Part-Aligned Bilinear Representations for Person Re-identification", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07094.pdf"], "doi": []}, {"id": "124d60fae338b1f87455d1fc4ede5fcfd806da1a", "title": "Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}, {"name": "Charles Sturt University", "source_name": "Charles Sturt University", "street_adddress": "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01440.pdf"], "doi": []}, {"id": "3cbf60c4a73fadd05b59c3abd19df032303e8577", "title": "Incremental Deep Hidden Attribute Learning", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}, {"name": "Huazhong University of Science of Technology", "source_name": "Huazhong University of Science of Technology, China, Wuhan, China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240510"]}, {"id": "5317bd54ad696f40594d78c3464d86d8e39bd75b", "title": "Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.08787.pdf"], "doi": []}, {"id": "45a44e61236f7c144d9ec11561e236b2960c7cf6", "title": "Multi-object Tracking with Neural Gating Using Bilinear LSTM", "addresses": [{"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf"], "doi": []}, {"id": "0db41739f514c4c911c54a4c90ab5f07db3862dc", "title": "NCA-Net for Tracking Multiple Objects across Multiple Cameras", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf"], "doi": []}, {"id": "55355b0317f6e0c5218887441de71f05da4b42f6", "title": "Parameter-Free Spatial Attention Network for Person Re-Identification", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12150.pdf"], "doi": []}, {"id": "92939c68b2075d0446fee540bd174b6da26fea05", "title": "Semantically Selective Augmentation for Deep Compact Person Re-Identification", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04074.pdf"], "doi": []}, {"id": "e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04", "title": "Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"], "doi": []}, {"id": "69a7c8bca699ee4100fbe6a83b72459c132a6f10", "title": "Aware Person Re-identification across Multiple Resolutions", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "0cf0ad8235929417d904acd1c672713ca4fdb105", "title": "Fusion of Head and Full-Body Detectors for Multi-object Tracking", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.08314.pdf"], "doi": []}, {"id": "fcec633bbdeaab2d61fcc6d86f74383ccc3621f9", "title": "Robust video editing detection using Scalable Color and Color Layout Descriptors", "addresses": [{"name": "Chulalongkorn University", "source_name": "Chulalongkorn University", "street_adddress": "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "13.74311795", "lng": "100.53287901", "type": "edu", "country": "Thailand"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8025923"]}, {"id": "c66350cbdee8c6873cc99807d342e932594aa0b9", "title": "Dissecting Person Re-identification from the Viewpoint of Viewpoint", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02162.pdf"], "doi": []}, {"id": "a20f132a30e99541aa7ba6dddac86e6a393778e8", "title": "Self Attention Grid for Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08556.pdf"], "doi": []}, {"id": "56423685e039d82d3cc88f797fc2b73f2d93e200", "title": "A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240573"]}, {"id": "f8f92624c8794d54e08b3a8f94910952ae03cade", "title": "CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485427", "http://doi.org/10.1109/TIP.2018.2874313", "https://www.ncbi.nlm.nih.gov/pubmed/30296233"]}, {"id": "b986a535e45751cef684a30631a74476e911a749", "title": "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "addresses": [{"name": "University of Campinas", "source_name": "University of Campinas", "street_adddress": "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "lat": "-27.59539950", "lng": "-48.61542180", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05618.pdf"], "doi": []}, {"id": "08d2a558ea2deb117dd8066e864612bf2899905b", "title": "Person Re-identification with Deep Similarity-Guided Graph Neural Network", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09975.pdf"], "doi": []}, {"id": "0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed", "title": "Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf"], "doi": []}, {"id": "fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d", "title": "Online Multi-Object Tracking with Dual Matching Attention Networks", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.00749.pdf"], "doi": []}, {"id": "d7bf5a50975e33eeae4277c0ea5de3505f46bdcf", "title": "Customized Multi-Person Tracker", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d7bf/5a50975e33eeae4277c0ea5de3505f46bdcf.pdf"], "doi": []}, {"id": "5d28a54b1b27280482463df85bb66bc2914ff893", "title": "Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5d28/a54b1b27280482463df85bb66bc2914ff893.pdf"], "doi": []}, {"id": "7f23a4bb0c777dd72cca7665a5f370ac7980217e", "title": "Improving Person Re-identification by Attribute and Identity Learning", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07220.pdf"], "doi": []}, {"id": "fd2bc4833c19a60d3646368952dcf35dbda007f3", "title": "Improving Person Re-Identification by Adaptive Hard Sample Mining", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}, {"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451129"]}, {"id": "a213bbf9740854a276fdf71dad8f30cfbe3ea4d4", "title": "The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00518.pdf"], "doi": []}, {"id": "7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6", "title": "Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240663"]}, {"id": "cc78e3f1e531342f639e4a1fc8107a7a778ae1cf", "title": "One Shot Domain Adaptation for Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10144.pdf"], "doi": []}, {"id": "be79ad118d0524d9b493f4a14a662c8184e6405a", "title": "Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545850"]}, {"id": "13ea9a2ed134a9e238d33024fba34d3dd6a010e0", "title": "SVDNet for Pedestrian Retrieval", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.05693.pdf"], "doi": []}, {"id": "462e13f050e89fe10180d843838b9a679ee08739", "title": "Exploit the Connectivity: Multi-Object Tracking with TrackletNet", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07258.pdf"], "doi": []}, {"id": "608dede56161fd5f76bcf9228b4dd8c639d65b02", "title": "SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00537.pdf"], "doi": []}, {"id": "24d6d3adf2176516ef0de2e943ce2084e27c4f94", "title": "Re-Identification with Consistent Attentive Siamese Networks", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07487.pdf"], "doi": []}, {"id": "eb7bee63337d6219bc4391ada57b1bae03717872", "title": "The WILDTRACK Multi-Camera Person Dataset", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09299.pdf"], "doi": []}, {"id": "15e1af79939dbf90790b03d8aa02477783fb1d0f", "title": "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07717.pdf"], "doi": []}, {"id": "329ed6f9cb32375c72fae2343ecc92ebdec5e444", "title": "MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02626.pdf"], "doi": []}, {"id": "ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b", "title": "Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf"], "doi": []}, {"id": "fa3fb32fe0cd392960549b0adb7a535eb3656abd", "title": "The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08106.pdf"], "doi": []}, {"id": "b96017e1023e0431e326b78bef3cca2a083212dd", "title": "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240548"]}, {"id": "77b5526c488f824aa2a4e898f22a674a375b1aa7", "title": "Integrating the University of S\u00e3o Paulo Security Mobile App to the Electronic Monitoring System", "addresses": [{"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622069"]}, {"id": "07a4feb747b0c874c79ab3d37b3d6e84cbabce6d", "title": "Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545450"]}, {"id": "40848b442cd52cbb9a440e413d5edea23a6ac26d", "title": "Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622366", "http://doi.org/10.1109/BigData.2018.8622366"]}, {"id": "0bf90fd8239bbaed46df6c525160e999c7e6c5e7", "title": "Occlusion Handling in Tracking Multiple People Using RNN", "addresses": [{"name": "Institute for Human-Machine Communication, TU Munich, Germany", "source_name": "Institute for Human-Machine Communication, TU Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451140"]}, {"id": "54c28bf64debbdb21c246795182f97d4f7917b74", "title": "STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04129.pdf"], "doi": []}, {"id": "3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c", "title": "A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "lat": "34.08038290", "lng": "-118.39099470", "type": "company", "country": "United States"}, {"name": "Shanghai, China", "source_name": "Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12193.pdf"], "doi": []}, {"id": "4abf902cefca527f707e4f76dd4e14fcd5d47361", "title": "Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11510.pdf"], "doi": []}, {"id": "4d799f6e09f442bde583a50a0a9f81131ef707bb", "title": "TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "addresses": [{"name": "Google and Hewlett-Packard Labs", "source_name": "Google and Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "Hewlett-Packard Labs", "source_name": "Hewlett-Packard Labs", "street_adddress": "560 Oakmead Pkwy, Sunnyvale, CA 94085, USA", "lat": "37.38607840", "lng": "-121.98778070", "type": "edu", "country": "United States"}, {"name": "LinkedIn and Hewlett-Packard Labs", "source_name": "LinkedIn and Hewlett-Packard Labs", "street_adddress": "3114 Scarboro Rd, Street, MD 21154, USA", "lat": "39.63219230", "lng": "-76.30381460", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3210342"]}, {"id": "5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc", "title": "Batch Feature Erasing for Person Re-identification and Beyond", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07130.pdf"], "doi": []}, {"id": "c37c3853ab428725f13906bb0ff4936ffe15d6af", "title": "Unsupervised Person Re-identification by Deep Learning Tracklet Association", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02874.pdf"], "doi": []}, {"id": "056adbf0b00ff13dae94c0a5b02bb7cb180794c0", "title": "Learning Non-Uniform Hypergraph for Multi-Object Tracking", "addresses": [{"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03621.pdf"], "doi": []}, {"id": "a8d665fa7357f696dcfd188b91fda88da47b964e", "title": "Scaling Video Analytics Systems to Large Camera Deployments", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02318.pdf"], "doi": []}, {"id": "dda0b381c162695f21b8d1149aab22188b3c2bc0", "title": "Occluded Person Re-Identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02792.pdf"], "doi": []}, {"id": "33f358f1d2b54042c524d69b20e80d98dde3dacd", "title": "Spectral Feature Transformation for Person Re-identification", "addresses": [{"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}, {"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11405.pdf"], "doi": []}, {"id": "8ffc49aead99fdacb0b180468a36984759f2fc1e", "title": "Sparse Label Smoothing for Semi-supervised Person Re-Identification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "Columbus, OH 43210, USA", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04976.pdf"], "doi": []}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "10b36c003542545f1e2d73e8897e022c0c260c32", "title": "Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04608.pdf"], "doi": []}, {"id": "b3a45118534144f50a56653dac8109c73fc2c0e8", "title": "A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014923", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.189", "http://doi.org/10.1109/CVPRW.2017.189"]}, {"id": "088e7b24bd1cf6e5922ae6c80d37439e05fadce9", "title": "Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07155.pdf"], "doi": []}, {"id": "4f8e06ac894e9cc1eb1617a293e43448930c7d4f", "title": "FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02936.pdf"], "doi": []}, {"id": "94ed6dc44842368b457851b43023c23fd78d5390", "title": "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01794.pdf"], "doi": []}, {"id": "a65f9ed8f5d6b86af819d257482a1039bf0db7e4", "title": "Pooling body parts on feature maps for misalignment robust person re-identification", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311470", "http://doi.org/10.1109/ISBA.2018.8311470"]}, {"id": "b339e16484a937fd87aba8e05dd843a8af81851b", "title": "Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05073.pdf"], "doi": []}, {"id": "8c7ee7acf850562e7515a3e01800c98cc393e62b", "title": "Joint Head Attribute Classifier and Domain-Specific Refinement Networks for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3241059"]}, {"id": "1ec8e7879c616a53dbc7903705d5b0840c1945ad", "title": "Pedestrian attributes recognition in surveillance scenarios with hierarchical multi-task CNN models", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594728"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "0ecce20af2ec42e39d4294322df48a42a58e42d4", "title": "Person Re-Identification With Metric Learning Using Privileged Information", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "UBTech Sydney Artificial Intelligence Institute", "source_name": "UBTech Sydney Artificial Intelligence Institute", "street_adddress": "Camperdown NSW 2006, Australia", "lat": "-33.88858400", "lng": "151.18734730", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8080246", "http://doi.org/10.1109/TIP.2017.2765836", "https://www.ncbi.nlm.nih.gov/pubmed/29757732"]}, {"id": "0b198c9aececb8f4172ace5c25d468141c5df6bf", "title": "Person Re-Identification with Hybrid Loss and Hard Triplets Mining", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499463", "http://doi.org/10.1109/BigMM.2018.8499463"]}, {"id": "280976bbb41d2948a5c0208f86605977397181cd", "title": "Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08073.pdf"], "doi": []}, {"id": "b3222fafbca3b184634c5124960e5dc813221aea", "title": "Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "addresses": [{"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6200-5"]}, {"id": "d70db731423a881aece0505f43c1af73df8100e1", "title": "DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451107"]}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "acf1ab10bb9b20534e5b5cb994ae7546728ae971", "title": "Attribute-Aware Attention Model for Fine-grained Representation Learning", "addresses": [{"name": "Peking University & Alibaba Group", "source_name": "Peking University & Alibaba Group, Beijing, China", "street_adddress": "5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080", "lat": "39.98691300", "lng": "116.30587390", "type": "edu", "country": "China"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240550"]}, {"id": "84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b", "title": "GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06964.pdf"], "doi": []}, {"id": "3bb4242420255590eeaf45fe0b7c3b489fa87303", "title": "A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510891"]}, {"id": "c753521ba6fb06c12369d6fff814bb704c682ef5", "title": "Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf"], "doi": []}, {"id": "014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf", "title": "Attention driven person re-identification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1810.05866.pdf"], "doi": []}, {"id": "e9d549989926f36abfa5dc7348ae3d79a567bf30", "title": "Orientation-Guided Similarity Learning for Person Re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545620"]}, {"id": "95bdd45fed0392418e0e5d3e51d34714917e3c87", "title": "Spatial-Temporal Person Re-identification", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.03282.pdf"], "doi": []}, {"id": "767ac8398e845779be111eb4ce8cb60a8b69a511", "title": "AlignedReID: Surpassing Human-Level Performance in Person Re-Identification", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08184.pdf"], "doi": []}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5009-y"]}, {"id": "00e3957212517a252258baef833833921dd308d4", "title": "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123424"]}, {"id": "705073015bb8ae97212532a30488c05d50894bec", "title": "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09786.pdf"], "doi": []}, {"id": "0a808a17f5c86413bd552a324ee6ba180a12f46d", "title": "Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01571.pdf"], "doi": []}, {"id": "9e644b1e33dd9367be167eb9d832174004840400", "title": "Tracking Social Groups Within and Across Cameras", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7563393", "http://doi.org/10.1109/TCSVT.2016.2607378"]}, {"id": "2ac02e4021d903a6d115cc774a3ee7cbf8a532a5", "title": "Joint tracking with event grouping and temporal constraints", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078515"]}, {"id": "5c976886fcda366d138038f796a1bd9e8e9b5066", "title": "LSTM Multiple Object Tracker Combining Multiple Cues", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451739", "http://doi.org/10.1109/ICIP.2018.8451739"]}, {"id": "83ee7643adeba92b6244ad61b71f539481430220", "title": "SOT for MOT", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01059.pdf"], "doi": []}, {"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01775.pdf"], "doi": []}]}
\ No newline at end of file |
