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Diffstat (limited to 'site/datasets/citations/voc.json')
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diff --git a/site/datasets/citations/voc.json b/site/datasets/citations/voc.json index 3e47a9cb..53fc0dad 100644 --- a/site/datasets/citations/voc.json +++ b/site/datasets/citations/voc.json @@ -1 +1 @@ -{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "paper": {"paperId": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "key": "voc", "title": "The Pascal Visual Object Classes (VOC) Challenge", "journal": "International Journal of Computer Vision", "address": "Oxford University", "country": "United Kingdom", "address_type": "edu", "lat": "51.75208490", "lng": "-1.25166460", "pdf_link": "http://eprints.pascal-network.org/archive/00006187/01/PascalVOC_IJCV2009.pdf", "report_link": "papers/0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a.html", "citation_count": 999, "citations_geocoded": 587, "citations_unknown": 412, "citations_empty": 35, "citations_pdf": 611, "citations_doi": 414, "name": "VOC"}, "address": ["Oxford University", "Oxford University", "University College, Logic Lane, Grandpont, 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Kingdom", "2013"], ["Lecture 16 : Recognizing Objects by Parts", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2017"], ["YOLOv 3 : An Incremental Improvement", "", "University of Washington", "University of Washington", "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "47.65432380", "-122.30800894", "edu", "", "United States", "2018"], ["A benchmark for semantic image segmentation", "Nanyang Technological University, Singapore", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2013"], ["From Large Scale Image Categorization to Entry-Level Categories", "", "University of North Carolina at Chapel Hill", "University of North Carolina at Chapel Hill", "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "35.91139710", "-79.05045290", "edu", "", "United States", "2013"], ["Webly-supervised visual concept learning with cardinality guided instance mining and clustered multitask refinement", "Department of Electronic Engineering, Shanghai Jiao Tong University, China", "Shanghai Jiao Tong University", "Shanghai Jiao Tong University", "\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", "31.20081505", "121.42840681", "edu", "", "China", "2017"], ["A novel fuzzy feature encoding approach for image classification", "Department of Computer Engineering, Middle East Technical University, Ankara, Turkey", "Middle East Technical University", "Middle East Technical University", "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "39.87549675", "32.78553506", "edu", "", "Turkey", "2016"], ["DNN-Train : Benchmarking and Analyzing DNN Training", "", "University of Toronto", "University of Toronto", "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "43.66333345", "-79.39769975", "edu", "", "Canada", "2018"], ["Poster : Image Suitability for Graphical Passwords", "", "Arizona State University", "Arizona State University", "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "33.30715065", "-111.67653157", "edu", "", "United States", "2015"], ["Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos", "University of Leeds Leeds, UK", "University of Leeds Leeds", "University of Leeds Leeds, UK", "Leeds LS2 9JT, UK", "53.80668150", "-1.55503280", "edu", "", "United Kingdom", "2014"], ["Learning Action Primitives for Multi-level Video Event Understanding", "", "Simon Fraser University", "Simon Fraser University", "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "49.27674540", "-122.91777375", "edu", "", "Canada", "2014"], ["Contextual Action Recognition with R*CNN", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2015"], ["Effects of target typicality on categorical search.", "", "Stony Brook University", "Stony Brook University", "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "40.91531960", "-73.12706260", "edu", "", "United States", "2014"], ["Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video", "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "36.38376500", "127.36694000", "edu", "", "South Korea", "2016"], ["Depth-aware object instance segmentation", "School of Communication and Information Engineering, Shanghai University, Shanghai, China", "Shanghai University", "Shanghai University", "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "31.32235655", "121.38400941", "edu", "", "China", "2017"], ["Hollywood 3 D : Recognizing Actions in 3 D Natural Scenes", "", "University of Surrey", "University of Surrey", "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "51.24303255", "-0.59001382", "edu", "", "United Kingdom", "2013"], ["Algorithm Selection Platform in Real-World Intelligent Systems", "", "Tohoku University", "Tohoku University", "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "38.25309450", "140.87365930", "edu", "", "Japan", "2015"], ["Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection", "Department of the Robotics Program, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea", "Korea Advanced Institute of Science and Technology", "Korea Advanced Institute of Science and Technology", "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, 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UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France", "4 Place Jussieu, 75005 Paris, France", "48.84710360", "2.35749900", "edu", "", "France", "2014"], ["Structured class-labels in random forests for semantic image labelling", "Institute for Computer Graphics and Vision, Graz University of Technology - Austria", "Graz University of Technology - Austria", "Institute for Computer Graphics and Vision, Graz University of Technology - Austria", "Inffeldgasse 16, 8010 Graz, Austria", "47.05829450", "15.45811320", "edu", "", "Austria", "2011"], ["Deep Bottleneck Feature for Image Classification", "University of Science and Technology of China, Hefei, China", "University of Science and Technology of China", "University of Science and Technology of China", "\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, 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["Investigations of an \" Objectness \" Measure for Object Localization", "", "Portland State University", "Portland State University", "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "45.51181205", "-122.68492999", "edu", "", "United States", "2016"], ["Weakly supervised human body detection under arbitrary poses", "Nanjing University of Aeronautics and Astronautics, Department of Computer Science and Technology", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "China", "2016"], ["VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2018"], ["Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "University of Maryland, College Park, College Park, USA", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2017"], ["A random-forest random field approach for cellular image segmentation", "School of Computing, National University of Singapore, Singapore", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", "", "Singapore", "2014"], ["Word Prior Detection Segmentation Input \" The left guy \" Image : Query : a guy left the youth Energy", "", "IBM Thomas J. Watson Research Center", "IBM Thomas J. Watson Research Center", "IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA", "41.21002475", "-73.80407056", "company", "", "United States", "2017"], ["Structured Weak Semantic Space Construction for Visual Categorization", "Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2018"], ["Prime Object Proposals with Randomized Prim's Algorithm", "", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "2013"], ["Towards the Internet of Services: The THESEUS Research Program", "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "Hasso-Plattner-Ring 7, 69190 Walldorf, Germany", "49.29446970", "8.63673580", "edu", "", "Turkey", "2014"], ["Quality Assessment for Crowdsourced Object Annotations", "", "Brown University", "Brown University", "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "41.82686820", "-71.40123146", "edu", "", "United States", "2011"], ["ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)", "State Key Lab. LIESMARS, Wuhan University, China", "Wuhan University of Technology", "Wuhan University of Technology", "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "30.60903415", "114.35142840", "edu", "", "China", "2018"], ["Semantic mapping using object-class segmentation of RGB-D images", "Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany", "Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany", "Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany", "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "50.74890520", "7.20233730", "company", "", "Germany", "2012"], ["Deep neural networks can be improved using human-derived contextual expectations", "", "Indian Institute of Science Bangalore", "Indian Institute of Science Bangalore", "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "13.02223470", "77.56718325", "edu", "", "India", "2018"], ["A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2012"], ["Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "", "Fudan University", "Fudan University", "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "31.30104395", "121.50045497", "edu", "", "China", "2017"], ["Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation", "", "South China University of Technology", "South China University of Technology", "\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", "23.05020420", "113.39880323", "edu", "", "China", "2018"], ["Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images", "", "Iran", "Iran", "Iran", "32.42790800", "53.68804600", "edu", "", "Iran", "2018"], ["A Dual-CNN Model for Multi-label Classification by Leveraging Co-occurrence Dependencies Between Labels", "School of Computer Science and Technology, Shandong University, Jinan, China", "Shandong University", "Shandong University", "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "36.36934730", "120.67381800", "edu", "", "China", "2017"], ["Robust Structural Sparse Tracking", "University of California, Merced, CA, 95344", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2018"], ["Color Image Reconstruction with Perceptual Compressive Sensing", "School of Artificial Intelligence, Xidian University, Xi'an, 710071, China", "Xidian University", "Xidian University", "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", "34.12358250", "108.83546000", "edu", "", "China", "2018"], ["Asking for Help with the Right Question by Predicting Human Visual Performance", "", "University of California, Santa Barbara", "University of California, Santa Barbara", "UCSB, Santa Barbara County, California, 93106, USA", "34.41459370", "-119.84581950", "edu", "", "United States", "2016"], ["Fast-Match: Fast Affine Template Matching", "Yahoo Research Labs, Haifa, Israel", "Tel Aviv University", "Tel Aviv University", "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - 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Finding cars, pedestrians and bicyclists in 3D laser data", "Mobile Robotics Group, Oxford University, UK", "Oxford University", "Oxford University", "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "51.75208490", "-1.25166460", "edu", "", "United Kingdom", "2012"], ["Training Deep Networks with Structured Layers by Matrix Backpropagation", "", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2015"], ["Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China", "University of Electronic Science and Technology of China", "University of Electronic Science and Technology of China", "Columbus, OH 43210, USA", "40.01419050", "-83.03091430", "edu", "", "United States", "2018"], ["Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation", "School of Information Systems Singapore Management University, Singapore", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", "2014"], ["Fine-grained Activity Recognition with Holistic and Pose based Features", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2014"], ["Spatial Memory for Context Reasoning in Object Detection", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2017"], ["Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data", "College of Automotive Engineering, Kookmin University, Seoul, South Korea", "Kookmin University", "Kookmin University", "\uad6d\ubbfc\ub300\ud559\uad50\uc55e, \uc815\ub989\ub85c, \uc815\ub9892\ub3d9, \uc815\ub989\ub3d9, \uc131\ubd81\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02708, \ub300\ud55c\ubbfc\uad6d", "37.61075540", "126.99466350", "edu", "", "South Korea", "2018"], ["Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades", "School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2015"], ["DR AF T Supervision Beyond Human Annotations for Learning Visual Representations", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2015"], ["Deep CNN Ensemble with Data Augmentation for Object Detection", "", "Australian National University", "Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "Australia", "2015"], ["SCNet: Learning Semantic Correspondence", "", "University of Hong Kong", "University of Hong Kong", "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "22.20814690", "114.25964115", "edu", "", "China", "2017"], ["Region-based fully convolutional networks for vertical corner line detection", "School of Computer Science and Technology, Soochow University, Suzhou, China", "Soochow University", "Soochow University", "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "31.30709510", "120.63573987", "edu", "", "China", "2017"], ["Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection", "Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA", "University of Michigan", "University of Michigan", "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "42.29421420", "-83.71003894", "edu", "", "United States", "2017"], ["Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer", "", "University of Washington", "University of Washington", "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "47.65432380", "-122.30800894", "edu", "", "United States", "2016"], ["Closed-Form Approximate CRF Training for Scalable Image Segmentation", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2014"], ["Coarse adaptive color image segmentation for visual object classification", "LIRIS, Ecole Centrale de Lyon, Batiment E6, 15 Avenue Guy de Collongue, 69134 Ecully Cedex, France", "LIRIS, Ecole Centrale de Lyon, Batiment E6, 15 Avenue Guy de Collongue, 69134 Ecully Cedex, France", "LIRIS, Ecole Centrale de Lyon, Batiment E6, 15 Avenue Guy de Collongue, 69134 Ecully Cedex, France", "36 Avenue Guy de Collongue, 69134 \u00c9cully, France", "45.78385960", "4.76918990", "edu", "", "France", "2008"], ["Learning View Priors for Single-view 3D Reconstruction.", "", "University of Tokyo", "University of Tokyo", "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "35.90204480", "139.93622009", "edu", "", "Japan", "2018"], ["Boundary-sensitive Network for Portrait Segmentation", "", "Samsung Research America", "Samsung Research America", "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "37.40197350", "-122.04778760", "edu", "", "United States", "2017"], ["Optimizing Average Precision Using Weakly Supervised Data", "Ecole Centrale Paris & INRIA Saclay, France", "Ecole Centrale Paris & INRIA Saclay, France", "Ecole Centrale Paris & INRIA Saclay, France", "1 Rue Honor\u00e9 d'Estienne d'Orves, 91120 Palaiseau, France", "48.71464030", "2.20565390", "edu", "", "France", "2014"], ["Online Spatio-temporal Structural Context Learning for Visual Tracking", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2012"], ["Automatic graphic logo detection via Fast Region-based Convolutional Networks", "", "University of Coimbra", "University of Coimbra", "Reitoria da Universidade de Coimbra, Rua de Entre-Col\u00e9gios, Almedina, Alta, Almedina, S\u00e9 Nova, Santa Cruz, Almedina e S\u00e3o Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal", "40.20759510", "-8.42566148", "edu", "", "Portugal", "2016"], ["Robust visual tracking based on L1 expanded template", "The School of Electrical Engineering and Automation, Harbin Institute of Technology, P.R. China", "Harbin Institute of Technology", "Harbin Institute of Technology", "\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", "45.74139210", "126.62552755", "edu", "", "China", "2017"], ["A novel target detection algorithm combining foreground and background manifold-based models", "University of Caen, Caen, France", "University of Caen", "University of Caen", "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "35.02749960", "135.78154513", "edu", "", "Japan", "2015"], ["Supervised hierarchical Pitman-Yor process for natural scene segmentation", "UC Berkeley", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2011"], ["Proposal generation for object detection using cascaded ranking SVMs", "Oxford Brookes University, Oxford, UK", "Oxford Brookes University", "Oxford Brookes University", "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "51.75552050", "-1.22615970", "edu", "", "United Kingdom", "2011"], ["Automatic Extraction of Built-Up Areas From Panchromatic and Multispectral Remote Sensing Images Using Double-Stream Deep Convolutional Neural Networks", "National Key Laboratory of Science & Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China", "Huazhong University of Science and Technology", "Huazhong University of Science and Technology", "\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", "30.50975370", "114.40628810", "edu", "", "China", "2018"], ["One-class slab support vector machine", "", "University of Notre Dame", "University of Notre Dame", "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "41.70456775", "-86.23822026", "edu", "", "United States", "2016"], ["Optimizing Image Acquisition Systems for Autonomous Driving", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2018"], ["Learning to Segment Object Candidates via Recursive Neural Networks", "School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2018"], ["CASENet: Deep Category-Aware Semantic Edge Detection", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2017"], ["Improving Accuracy of the Edgebox Approach", "", "Utah State University", "Utah State University", "Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA", "41.74115040", "-111.81223090", "edu", "", "United States", "2018"], ["Instance-Level Human Parsing via Part Grouping Network", "", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), 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Washington", "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "47.65432380", "-122.30800894", "edu", "", "United States", "2018"], ["Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network", "", "Xidian University", "Xidian University", "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", "34.12358250", "108.83546000", "edu", "", "China", "2018"], ["Cross-depiction problem: Recognition and synthesis of photographs and artwork", "School of Computer Science, University of Adelaide, Adelaide, Australia", "University of Adelaide", "University of Adelaide", "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "-34.91892260", "138.60423668", "edu", "", "Australia", "2015"], ["Deep Coupled Metric Learning for Cross-Modal Matching", "School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2017"], ["Robust person head detection based on multi-scale representation fusion of deep convolution neural network", "Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2017"], ["High performance and fast object detection in road environments", "DGIST", "DGIST", "DGIST", "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "35.70528600", "128.45710200", "edu", "", "South Korea", "2017"], ["Predicting the Location of \"interactees\" in Novel Human-Object Interactions", "", "University of Texas at Austin", "University of Texas at Austin", "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "30.28415100", "-97.73195598", "edu", "", "United States", "2014"], ["Edge Fields for Robust Object Proposal", "", "Samsung Electronics", "Samsung Electronics", "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "43.61294840", "-79.55903030", "edu", "", "Canada", "2015"], ["A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation", "Tencent AI Laboratory, Shenzhen, China", "Tencent AI Laboratory, Shenzhen, China", "Tencent AI Laboratory, Shenzhen, China", "10900 NE 8th St, Bellevue, WA 98004, USA", "47.61786030", "-122.19402580", "company", "", "United States", "2018"], ["Nonnegative correlation coding for image classification", "Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China", "Beijing Institute of Technology", "Beijing Institute of Technology University", "\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", "39.95866520", "116.30971281", "edu", "", "China", "2015"], ["Multi-modal gated recurrent units for image description", "University of Chinese Academy of Sciences, Beijing, People\u2019s Republic of China", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2018"], ["How Do We Evaluate the Quality of Computational Editing Systems", "", "University of Wisconsin Madison", "University of Wisconsin Madison", "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "43.07982815", "-89.43066425", "edu", "", "United States", "2014"], ["Divide and Count: Generic Object Counting by Image Divisions", "University of Amsterdam, Amsterdam, The Netherlands", "University of Amsterdam", "University of Amsterdam", "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "52.35536550", "4.95016440", "edu", "", "Netherlands", "2018"], ["Feature Agglomeration Networks for Single Stage Face Detection", "", "Zhejiang University", "Zhejiang University", "\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", "30.19331415", "120.11930822", "edu", "", "China", "2017"], ["Sparse coding based airport detection from medium resolution Landsat-7 satellite remote sensing images", "School of Automation, Northwestern Polytechnical University, Xi'an, 710072, China", "Northwestern Polytechnical University", "Northwestern Polytechnical University", "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "34.24691520", "108.91061982", "edu", "", "China", "2014"], ["Semantic mapping of road scenes", "", "Oxford Brookes University", "Oxford Brookes University", "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "51.75552050", "-1.22615970", "edu", "", "United Kingdom", "2014"], ["Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "39.96014880", "116.35193921", "edu", "", "China", "2018"], ["CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool", "Departament de Ci\u00e8ncies de la Coputaci\u00f3, Computer Vision Center, Universitat Aut\u00f2noma de Barcelona, Catalonia, Spain", "Universitat Aut\u00f2noma de Barcelona", "Universitat Aut\u00f2noma de Barcelona", "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "41.50078110", "2.11143663", "edu", "", "Spain", "2014"], ["Beyond Bounding Boxes: Precise Localization of Objects in Images", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2015"], ["Self-Paced Cross-Modal Subspace Matching", "Microsoft Research, Beijing, China", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2016"], ["Are all training examples equally valuable?", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2013"], ["Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks", "Institute of Signal Processing and System Theory, University of Stuttgart, Germany", "University of Stuttgart", "University of Stuttgart", "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "48.90953380", "9.18318920", "edu", "", "Germany", "2018"], ["Real-Time Object Tracking Via Online Discriminative Feature Selection", "Department of Electrical Engineering and Computer Science, University of California, Merced, CA, USA", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2013"], ["Camera based target recognition for maritime awareness", "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "Piazza Monte Grappa, 4, 00195 Roma RM, Italy", "41.91852800", "12.46855900", "company", "", "Italy", "2012"], ["Shape-based Image Correspondence", "", "Brown University", "Brown University", "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "41.82686820", "-71.40123146", "edu", "", "United States", "2016"], ["Automated Recognition of Text in Images : A Survey", "", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2015"], ["Robotic arm control by fine-tuned convolutional neural network model", "Mekatronik Mühendisliği, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, Türkiye", "Istanbul Teknik Universitesi", "Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye", "\u0130n\u00f6n\u00fc Caddesi, No. 65, G\u00fcm\u00fc\u015fsuyu, 34437 Beyo\u011flu/\u0130stanbul, Turkey", "41.03790740", "28.99212370", "edu", "", "Turkey", "2017"], ["Adaptive spatio-temporal context learning for visual target tracking", "Video Processing Laboratory, Department of Electrical Engineering, Yazd University, Yazd, Iran", "Iran", "Iran", "Iran", "32.42790800", "53.68804600", "edu", "", "Iran", "2017"], ["Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning", "Digital Image Group (DIG), London, Canada", "Digital Image Group (DIG), London, Canada", "Digital Image Group (DIG), London, Canada", "London, ON, Canada", "42.98492330", "-81.24527680", "edu", "", "Canada", "2018"], ["Efficient Correlation Tracking via Center-Biased Spatial Regularization", "School of Computer and information, Hefei University of Technology, Hefei, China", "Hefei University of Technology", "Hefei University of Technology", "\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", "31.84691800", "117.29053367", "edu", "", "China", "2018"], ["Efficient Object Localization and Segmentation in Weakly Labeled Videos", "", "University of Manitoba", "University of Manitoba", "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "49.80915360", "-97.13304179", "edu", "", "Canada", "2014"], ["End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "", "Huazhong University of Science and Technology", "Huazhong University of Science and Technology", "\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", "30.50975370", "114.40628810", "edu", "", "China", "2018"], ["Dissimilarity Coefficient based Weakly Supervised Object Detection", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", "", "United Kingdom", "2018"], ["Locality constrained low-rank sparse learning for object tracking", "State Key Laboratory of Robotics, Shenyang Institute Automation, Chinese Academy of Sciences, Shenyang, 110016, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2015"], ["The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics", "Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland", "University of Applied Sciences Western Switzerland", "Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland", "Fili\u00e8re Economie d'entreprise, Case postale 80, Rue de la Plaine 2, 3960 Sierre, Switzerland", "46.29278120", "7.53618900", "edu", "", "Switzerland", "2015"], ["MBLLEN: Low-Light Image/Video Enhancement Using CNNs", "", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", "2018"], ["Deep learning on small datasets using online image search", "Brno University of Technology", "Brno University of Technology", "Brno University of Technology", "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "49.20172000", "16.60331680", "edu", "", "Czech Republic", "2016"], ["Local structured representation for generic object detection", "Research Center for Brain-inspired Intelligence, Chinese Academy of Sciences, Beijing, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2016"], ["SPNet: Superpixel Pyramid Network for Scene Parsing", "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "Beijing University of Technologyy", "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "Chaoyang, China, 100124", "39.87161100", "116.47952900", "edu", "", "China", "2018"], ["A multi-scale cascade fully convolutional network face detector", "", "University of Southern California", "University of Southern California", "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "34.02241490", "-118.28634407", "edu", "", "United States", "2016"], ["Learning Single-view 3D Reconstruction of Objects and Scenes", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2018"], ["Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", "", "United Kingdom", "2015"], ["High-Order Distance-Based Multiview Stochastic Learning in Image Classification", "School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China", "Hangzhou Dianzi University", "Hangzhou Dianzi University", "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "30.31255250", "120.34309460", "edu", "", "China", "2014"], ["Fine-Grained and Layered Object Recognition", "", "Kyoto University", "Kyoto University", "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "35.02749960", "135.78154513", "edu", "", "Japan", "2012"], ["Deep Visual-Semantic Alignments for Generating Image Descriptions", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2015"], ["Efficient object detection and segmentation with a cascaded Hough Forest ISM", "UMIC Research Centre, RWTH Aachen University, Germany", "RWTH Aachen University", "RWTH Aachen University", "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "50.77917030", "6.06728733", "edu", "", "Germany", "2011"], ["A comparison of late fusion methods for object detection", "Humboldt-Universität zu Berlin, Department of Computer Science, Unter den Linden 6, 10099 Berlin, Germany", "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "Sandtorstra\u00dfe 22, 39106 Magdeburg, Germany", "52.13925980", "11.65195280", "company", "", "Germany", "2013"], ["Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2018"], ["Understanding and Controlling User Linkability in Decentralized Learning", "", "Max Planck Institute for Informatics", "Max Planck Institute for Informatics", "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "49.25795660", "7.04577417", "edu", "", "Germany", "2018"], ["Robust object tracking via weight-based local sparse appearance model", "Department of Communication and Electronic Engineering, Hunan City University, Yiyang, China", "Hunan University", "Hunan University", "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "26.88111275", "112.62850666", "edu", "", "China", "2016"], ["Understanding CNN via deep features analysis", "University of Southern California, USA", "University of Southern California", "University of Southern California", "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "34.02241490", "-118.28634407", "edu", "", "United States", "2017"], ["Biologically Inspired Media Quality Modeling", "Zhejiang University, Hangzhou, China", "Zhejiang University", "Zhejiang University", "\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", "30.19331415", "120.11930822", "edu", "", "China", "2015"], ["Part Discovery from Partial Correspondence", "", "Toyota Technological Institute at Chicago", "Toyota Technological Institute at Chicago", "6045 S Kenwood Ave, Chicago, IL 60637, USA", "41.78469820", "-87.59258480", "company", "", "United States", "2013"], ["Scalable multi-class object detection", "ETH Zurich, Switzerland", "ETH Z\u00fcrich", "ETH Z\u00fcrich", "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "47.37645340", "8.54770931", "edu", "", "Switzerland", "2011"], ["Learning Joint Multimodal Representation with Adversarial Attention Networks", "Beihang University, Beijing, China", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2018"], ["Build a Robust Learning Feature Descriptor by Using a New Image Visualization Method for Indoor Scenario Recognition", "", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "39.96014880", "116.35193921", "edu", "", "China", "2017"], ["Zero-Shot Object Detection", "", "NEC Labs America", "NEC Labs America", "4 Independence Way #200, Princeton, NJ 08540, USA", "40.35981820", "-74.59502250", "company", "", "United States", "2018"], ["Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation", "", "DGIST", "DGIST", "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "35.70528600", "128.45710200", "edu", "", "South Korea", "2018"], ["We Don\u2019t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2016"], ["Deep Attributes from Context-Aware Regional Neural Codes", "", "Columbia University", "Columbia University", "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "40.84198360", "-73.94368971", "edu", "", "United States", "2015"], ["Structured Prediction for Object Detection in Deep Neural Networks", "Institut f\u00fcr Informatik VI, Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Bonn, Germany", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Bonn, Germany", "Institut f\u00fcr Informatik VI, Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Bonn, Germany", "Endenicher Allee 19 C, 53115 Bonn, Germany", "50.72709660", "7.08321250", "edu", "", "Germany", "2014"], ["Image categorization using a semantic hierarchy model with sparse set of salient regions", "The Second Hospital of Nanjing, Nanjing, China", "Soochow University", "Soochow University", "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "31.30709510", "120.63573987", "edu", "", "China", "2013"], ["Mouse Behavior Recognition with The Wisdom of", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2013"], ["Tree-Structured Reinforcement Learning for Sequential Object Localization", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2016"], ["Deep Learning Logo Detection with Data Expansion by Synthesising Context", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2017"], ["A transfer learning based approach for automated grading of Gliomas using deep Residual Networks", "", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2018"], ["High-speed railway catenary components detection using the cascaded convolutional neural networks", "School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China", "Southwest Jiaotong University", "Southwest Jiaotong University", "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "30.69784700", "104.05208110", "edu", "", "China", "2017"], ["Object Classification and Detection in High Dimensional Feature Space", "", "EPFL", "EPFL", "Route Cantonale, 1015 Lausanne, Switzerland", "46.51905570", "6.56675760", "edu", "", "Switzerland", "2013"], ["DAVE: A Unified Framework for Fast Vehicle Detection and Annotation", "", "Northumbria University", "Northumbria University", "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "55.00306320", "-1.57463231", "edu", "", "United Kingdom", "2016"], ["Fine-grained object recognition in underwater visual data", "Universit\u00e9 de Toulon, La Garde, France", "Universit\u00e9 de Toulon, La Garde, France", "Universit\u00e9 de Toulon, La Garde, France", "Avenue de l'Universit\u00e9, 83130 La Garde, France", "43.13765300", "6.01454500", "edu", "", "France", "2015"], ["Augmented Kernel Matrix vs Classifier Fusion for Object Recognition", "", "University of Surrey", "University of Surrey", "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "51.24303255", "-0.59001382", "edu", "", "United Kingdom", "2011"], ["COSTA: Co-Occurrence Statistics for Zero-Shot Classification", "", "University of Amsterdam", "University of Amsterdam", "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "52.35536550", "4.95016440", "edu", "", "Netherlands", "2014"], ["Object Detection and Its Implementation on Android Devices", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2017"], ["ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition", "Universitat de Barcelona, Spain", "Universitat de Barcelona - CVC, Spain", "Universitat de Barcelona - CVC, Spain", "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "41.38660800", "2.16402000", "edu", "", "Spain", "2015"], ["Object proposal using 3D point cloud for DRC-HUBO+", "Robotics and Computer Vision Labortory, Dep. of EE, KAIST, Daejeon, 34141, Korea", "KAIST", "KAIST", "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "36.37214270", "127.36039000", "edu", "", "South Korea", "2016"], ["Perceptually Inspired Layout-Aware Losses for Image Segmentation", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2014"], ["Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels", "", "Nokia Technologies, Tampere, Finland", "Nokia Technologies, Tampere, Finland", "Tampere, Finland", "61.49775240", "23.76095350", "edu", "", "Finland", "2018"], ["Interactive adaptation of real-time object detectors", "International Computer Science Institute (ICSI), Berkeley, CA, USA", "International Computer Science Institute (ICSI), Berkeley, CA, USA", "International Computer Science Institute (ICSI), Berkeley, CA, USA", "1947 Center St, Berkeley, CA 94704, USA", "37.87015430", "-122.27123120", "edu", "", "United States", "2014"], ["Dependency Modeling for Information Fusion with Applications in Visual Recognition", "", "Hong Kong Baptist University", "Hong Kong Baptist University", "\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", "22.38742010", "114.20822220", "edu", "", "China", "2013"], ["BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition", "", "Brno University of Technology", "Brno University of Technology", "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "49.20172000", "16.60331680", "edu", "", "Czech Republic", "2016"], ["Boosted multi-class object detection with parallel hardware implementation for real-time applications", "Institute of Communications Engineering, National Tsing Hua University, Taiwan, R.O.C", "National Tsing Hua University", "National Tsing Hua University", "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "24.79254840", "120.99511830", "edu", "", "Taiwan", "2014"], ["ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2017"], ["Fast , Deep Detection and Tracking of Birds & Nests", "", "University of Delaware", "University of Delaware", "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "39.68103280", "-75.75401840", "edu", "", "United States", "2016"], ["DOC: Deep OCclusion Recovering From A Single Image", "", "University of California, Los Angeles", "University of California, Los Angeles", "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "34.06877880", "-118.44500940", "edu", "", "United States", "2015"], ["Vehicle detection and localization on bird's eye view elevation images using convolutional neural network", "New Industry Creation Hatchery Center, Tohoku University, Sendai, Japan", "Tohoku University", "Tohoku University", "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "38.25309450", "140.87365930", "edu", "", "Japan", "2017"], ["Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems", "", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", "", "United States", "2018"], ["The Devil is in the Decoder", "", "Google", "Google, Inc.", "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "37.42199990", "-122.08405750", "company", "Google, Mountain View, CA", "United States", "2017"], ["Human Pose Estimation for Multiple Frames", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2016"], ["A study of vehicle detector generalization on U.S. highway", "Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, United States", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2016"], ["Hierarchical Scene Annotation", "", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", "", "United States", "2013"], ["Edge color transform: a new operator for natural scene text localization", "School of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran", "Iran", "Iran", "Iran", "32.42790800", "53.68804600", "edu", "", "Iran", "2017"], ["Hard to Cheat: A Turing Test based on Answering Questions about Images", "", "Max Planck Institute for Informatics", "Max Planck Institute for Informatics", "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "49.25795660", "7.04577417", "edu", "", "Germany", "2015"], ["Lazy dragging: effortless bounding-box drawing for touch-screen devices", "Student, IEEE", "Student, IEEE", "Student, IEEE", "Lubbock, TX 79409, USA", "33.58689190", "-101.87544120", "edu", "", "United States", "2017"], ["Subcategory-Aware Object Classification", "", "Panasonic Singapore Laboratories", "Panasonic Singapore Laboratories", "Singapore", "1.33648800", "103.89329250", "company", "", "Singapore", "2013"], ["Following Gaze in Video", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2017"], ["Count on Me: Learning to Count on a Single Image", "Department of Computer Science, Vision, Image Processing and Sound Laboratory, University of Verona, Verona, Italy", "University of Verona", "University of Verona", "Via S. Francesco, 22, 37129 Verona VR, Italy", "45.43739800", "11.00337600", "edu", "", "Italy", "2018"], ["Partial face detection for continuous authentication", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2016"], ["Selective Weakly Supervised Human Detection under Arbitrary Poses", "", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "China", "2017"], ["Multi-Scale Context Aggregation by Dilated Convolutions", "", "Intel Labs", "Intel Labs", "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "40.44397890", "-79.94646340", "company", "", "United States", "2015"], ["First International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications", "University of Edinburgh, Edinburgh, UK", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2012"], ["Point-based medialness for 2D shape description and identification", "Deparment of Computing, Goldsmiths, University of London, London, UK", "University of London", "University of London", "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "51.52176680", "-0.13019072", "edu", "", "United Kingdom", "2015"], ["Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval", "School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2018"], ["Convolutional feature masking for joint object and stuff segmentation", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2015"], ["Improving an Object Detector and Extracting Regions Using Superpixels", "", "University of Central Florida", "University of Central Florida", "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "28.59899755", "-81.19712501", "edu", "", "United States", "2013"], ["Recognizing Actions Through Action-Specific Person Detection", "Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland", "Computer Vision Centre Barcelona, Barcelona, Spain", "Computer Vision Centre Barcelona, Barcelona, Spain", "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "41.50089570", "2.11155300", "edu", "", "Spain", "2015"], ["Active Deformable Part Models", "", "University of Pennsylvania", "University of Pennsylvania", "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "39.94923440", "-75.19198985", "edu", "", "United States", "2014"], ["Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "", "GE Global Research Center", "GE Global Research Center", "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "42.82982480", "-73.87719385", "edu", "", "United States", "2017"], ["Generating Synthetic Data for Text Recognition", "", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2016"], ["Detection and localization with multi-scale models", "Computer Vision and Robotics Research Laboratory, University of California San Diego, USA", "University of California, San Diego", "University of California, San Diego", "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "32.87935255", "-117.23110049", "edu", "", "United States", "2016"], ["An Encoder-Decoder Based Convolution Neural Network ( CNN ) for Future Advanced Driver Assistance System ( ADAS )", "", "University of Science and Technology of China", "University of Science and Technology of China", "\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", "31.83907195", "117.26420748", "edu", "", "China", "2017"], ["The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking", "Department of Computer Science and Engineering and Centre for Vision Research, York University, Toronto, Canada", "York University", "York University", "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "43.77439110", "-79.50481085", "edu", "", "Canada", "2014"], ["Performance evaluation of CBIR system based on object detection and evolutionary computation", "M.I.T. College of Engineering Pune, India", "MIT India", "M.I.T. College of Engineering Pune, India", "Survey No. 124, Paud Road, MIT College Campus Ex, Shivtirthanagar, Kothrud, Pune, Maharashtra 411038, India", "18.51937200", "73.81496070", "edu", "", "India", "2014"], ["Label Refinement Network for Coarse-to-Fine Semantic Segmentation.", "", "Indiana University", "Indiana University", "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "39.86948105", "-84.87956905", "edu", "", "United States", "2017"], ["Fast human detection using Node-Combined Part Detector", "Department of Electronic Engineering, Tsinghua University, Beijing 100084, China", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "China", "2011"], ["Learning a loopy model exactly", "Institute of Computer Science VI, Autonomous Intelligent Systems, University of Bonn, Germany", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2014"], ["Image context classification based on visual codebook feature boosting", "Computer Science Department, Technical University of Cluj Napoca", "Technical University of Cluj Napoca", "Technical University of Cluj Napoca", "Strada Memorandumului 28, Cluj-Napoca 400114, Romania", "46.76929900", "23.58561300", "edu", "", "Romania", "2013"], ["Weakly Supervised RBM for Semantic Segmentation", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2015"], ["Two-stream deep encoder-decoder architecture for fully automatic video object segmentation", "Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University", "Shanghai Jiao Tong University", "Shanghai Jiao Tong University", "\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", "31.20081505", "121.42840681", "edu", "", "China", "2017"], ["Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network", "", "New York University", "New York University", "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "40.72925325", "-73.99625394", "edu", "", "United States", "2018"], ["Towards Automated Fish Detection Using Convolutional Neural Networks", "Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA, 02115", "Northeastern University", "Northeastern University", "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "42.33836680", "-71.08793524", "edu", "", "United States", "2018"], ["Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning", "", "Cornell University", "Cornell University", "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "42.45055070", "-76.47835130", "edu", "", "United States", "2018"], ["InverseNet: Solving Inverse Problems with Splitting Networks", "", "Duke University", "Duke University", "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "35.99905220", "-78.92906290", "edu", "", "United States", "2017"], ["Compositional Compression of Deep Image Features Using Stacked Quantizers", "", "University of British Columbia", "University of British Columbia", "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "49.25839375", "-123.24658161", "edu", "", "Canada", "2014"], ["A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images", "State Key Laboratory for Novel Software Technology, Nanjing University, China", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "China", "2018"], ["Data Augmentation for Cnn-Based People Detection in Aerial Images", "Department of Information Engineering and Computer Science, Feng Chia University, Taiwan", "Feng Chia University", "Feng Chia University", "\u9022\u7532\u5927\u5b78, 100, \u6587\u83ef\u8def, \u897f\u5e73\u91cc, \u897f\u5c6f\u5340, \u81fa\u4e2d\u5e02, 40724, \u81fa\u7063", "24.18005755", "120.64836072", "edu", "", "Taiwan", "2018"], ["Sparse Coding for Object Detection with Deformable Part Models", "", "Imperial College London", "Imperial College London", "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "51.49887085", "-0.17560797", "edu", "", "United Kingdom", "2014"], ["Personal driving diary: Automated recognition of driving events from first-person videos", "", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", "", "United States", "2013"], ["Color\u2013depth multi-task learning for object detection in haze", "School of Information Engineering, Nanchang Institute of Technology, Nanchang, China", "HoHai University", "HoHai University", "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "32.05765485", "118.75500040", "edu", "", "China", "2018"], ["3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies", "", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", "United States", "2016"], ["RGB-D Human Detection and Tracking for Industrial Environments", "Southwest Research Institute, San Antonio, USA", "Southwest Research Institute, San Antonio, USA", "Southwest Research Institute, San Antonio, USA", "6220 Culebra Rd, San Antonio, TX 78238, USA", "29.45212560", "-98.61028110", "edu", "", "United States", "2014"], ["Deep Uniqueness-Aware Hashing for Fine-Grained Multi-Label Image Retrieval", "Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2018"], ["Transfer Learning by Borrowing Examples for Multiclass Object Detection", "", "University of Toronto", "University of Toronto", "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "43.66333345", "-79.39769975", "edu", "", "Canada", "2011"], ["Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition", "", "University of Macau", "University of Macau", "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "22.12401870", "113.54510901", "edu", "", "China", "2018"], ["Region Trajectories for Video Semantic Concept Detection", "The Graduate Center, CUNY, New York, NY, USA", "City University of New York", "The City University of New York", "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "40.87228250", "-73.89489171", "edu", "", "United States", "2016"], ["What's in a Question: Using Visual Questions as a Form of Supervision", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2017"], ["Evaluating the WordsEye Text-to-Scene System: Imaginative and Realistic Sentences", "", "Columbia University", "Columbia University", "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "40.84198360", "-73.94368971", "edu", "", "United States", "2018"], ["A new performance measure and evaluation benchmark for road detection algorithms", "Max Planck Institute for Intelligent Systems in T\u00fcbingen, Germany", "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "Carl-Legien-Stra\u00dfe 30, 63073 Offenbach am Main, Germany", "50.08472490", "8.84064370", "company", "", "Germany", "2013"], ["Large scale visual classification with SVM, create the unique article through NLP", "Faculty of Information Technology, University of Moratuwa", "University of Moratuwa", "Faculty of Information Technology, University of Moratuwa", "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "6.79708620", "79.90190940", "edu", "", "Sri Lanka", "2017"], ["Controlling explanatory heatmap resolution and semantics via decomposition depth", "", "Korea University", "Korea University", "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "37.59014110", "127.03623180", "edu", "", "South Korea", "2016"], ["Hierarchical joint-guided networks for semantic image segmentation", "Department of Computer Science and Information Engineering, National Central University, Taiwan", "National Central University", "National Central University", "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "24.96841805", "121.19139696", "edu", "", "Taiwan", "2017"], ["Pedestrian Localization", "Institute of Neural Information Processing, University of Ulm, Germany", "University of Ulm", "University of Ulm, Control and Microtechnology, Ulm, 89081, Germany", "Helmholtzstra\u00dfe 16, 89081 Ulm, Germany", "48.42223050", "9.95558200", "edu", "", "Germany", "2011"], ["DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "", "German Aerospace Center (DLR), Germany", "German Aerospace Center (DLR), Germany", "Linder H\u00f6he, 51147 K\u00f6ln, Germany", "50.85502400", "7.11949760", "edu", "", "Germany", "2018"], ["Learning Localized Perceptual Similarity Metrics for Interactive Categorization", "", "Google", "Google, Inc.", "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "37.42199990", "-122.08405750", "company", "Google, Mountain View, CA", "United States", "2015"], ["Actions and Attributes from Wholes and Parts", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2015"], ["Detecting objects of a category in range data by comparing to a single geometric prototype", "Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany", "German Aerospace Center", "Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany", "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "48.08342380", "11.27563320", "edu", "", "Germany", "2013"], ["Early active learning via robust representation and structured sparsity", "", "University of Texas at Arlington", "University of Texas at Arlington", "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "32.72836830", "-97.11201835", "edu", "", "United States", "2013"], ["Sliding Shapes for 3D Object Detection in Depth Images", "Princeton University, USA", "Princeton University", "Princeton University", "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "40.34829285", "-74.66308325", "edu", "", "United States", "2014"], ["Fast dynamic video content exploration", "MIT Lincoln Laboratory, 244 Wood St., Lexington, Ma. 02420", "MIT Lincoln Laboratory", "MIT Lincoln Laboratory", "244 Wood St, Lexington, MA 02421, USA", "42.45895890", "-71.26749520", "edu", "", "United States", "2013"], ["Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2016"], ["No Spare Parts: Sharing Part Detectors for Image Categorization", "", "Delft University of Technology", "Delft University of Technology", "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "51.99882735", "4.37396037", "edu", "", "Netherlands", "2016"], ["Benchmarking and Analyzing Deep Neural Network Training", "University of Toronto, Toronto, Canada", "University of Toronto", "University of Toronto", "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "43.66333345", "-79.39769975", "edu", "", "Canada", "2018"], ["HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2019"], ["Deep neural network acceleration framework under hardware uncertainty", "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "La Jolla, CA 92093, USA", "32.88180060", "-117.23352350", "edu", "", "United States", "2018"], ["Unconstrained Face Detection and Open-Set Face Recognition Challenge", "", "University of Colorado, Colorado Springs", "University of Colorado Colorado Springs", "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "38.89207560", "-104.79716389", "edu", "", "United States", "2017"], ["Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks", "", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2017"], ["Improving object detection accuracy with region and regression based deep CNNs", "School of Information Science and Engineering, Ocean University of Chisana, Qingdao, China", "North China Sea Environmental Monitoring Center, State Oceanic Administration", "North China Sea Environmental Monitoring Center, State Oceanic Administration", "China", "35.86166000", "104.19539700", "gov", "", "China", "2017"], ["Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation", "Tsinghua University, Beijing, China", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "China", "2014"], ["Localizing 3D cuboids in single-view images", "", "University of Washington", "University of Washington", "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "47.65432380", "-122.30800894", "edu", "", "United States", "2012"], ["Lazy Dragging: Effortless bounding-box drawing for touch-screen devices", "School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea", "Yonsei University", "Yonsei University", "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "37.56004060", "126.93692480", "edu", "", "South Korea", "2017"], ["Non Maximal Suppression in Cascaded Ranking Models", "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "University of Oulu", "University of Oulu", "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "65.05921570", "25.46632601", "edu", "", "Finland", "2013"], ["RRAM-Based Analog Approximate Computing", "Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "China", "2015"], ["Mix-and-Match Tuning for Self-Supervised Semantic Segmentation", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2018"], ["Piecing together the segmentation jigsaw using context", "University of Maryland College Park, MD, 20740", "University of Maryland College Park", "University of Maryland College Park", "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "38.99203005", "-76.94610290", "edu", "", "United States", "2011"], ["Ontological supervision for fine grained classification of Street View storefronts", "Google, California, United States", "Google, California, United States", "Google, California, United States", "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "37.42199990", "-122.08405750", "edu", "", "", "2015"], ["Conditional Random Fields for multi-camera object detection", "ETHZ, Zurich (Switzerland)", "ETHZ, Zurich (Switzerland)", "ETHZ, Zurich (Switzerland)", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "2011"], ["High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and Its Applications to High-Level Vision", "", "Dartmouth College", "Dartmouth College", "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "43.70479270", "-72.29259090", "edu", "", "United States", "2015"], ["Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "", "North Carolina State University", "North Carolina State University", "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "35.77184965", "-78.67408695", "edu", "", "United States", "2016"], ["Pixel-wise neural cell instance segmentation", "Department of Computer Science, Rutgers University, NJ, USA", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "United States", "2018"], ["50 Years of object recognition: Directions forward", "", "York University", "York University", "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "43.77439110", "-79.50481085", "edu", "", "Canada", "2013"], ["Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2011"], ["Latent Model Ensemble with Auto-localization", "", "University of Missouri", "University of Missouri", "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "38.92676100", "-92.29193783", "edu", "", "United States", "2016"], ["Local Metric Learning for Exemplar-Based Object Detection", "Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Hubei, China", "Huazhong University of Science and Technology", "Huazhong University of Science and Technology", "\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", "30.50975370", "114.40628810", "edu", "", "China", "2014"], ["Discriminative decorrelation for clustering and classification", "", "University of California at Irvine", "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "Irvine, CA 92697, USA", "33.64049520", "-117.84429620", "edu", "", "United States", "2012"], ["A biased sampling strategy for object categorization", "Xi An Jiaotong University, China", "Xi An Jiaotong University", "Xi An Jiaotong University, China", "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "34.25080300", "108.98369300", "edu", "", "China", "2009"], ["Efficient Cross-Domain Image Retrieval by Multi-Level Matching and Spatial Verification for Structural Similarity", "National Taiwan University, Taipei, Taiwan Roc", "National Taiwan University", "National Taiwan University", "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "25.01682835", "121.53846924", "edu", "", "Taiwan", "2014"], ["Can surgical simulation be used to train detection and classification of neural networks?", "", "University College London", "University College London", "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "51.52316070", "-0.12820370", "edu", "", "United Kingdom", "2017"], ["Cross-Modal Retrieval With CNN Visual Features: A New Baseline", "Institute of Information Science, Beijing Jiaotong University, Beijing, China", "Institute of Information Science", "Institute of Information Science", "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "25.04107280", "121.61475620", "edu", "", "Taiwan", "2016"], ["Video Frames Segmentation time Modular Network Clock Fires Executed", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2016"], ["Simultaneously Discovering and Localizing Common Objects in Wild Images", "School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2018"], ["Deep Domain Generalization via Conditional Invariant Adversarial Networks", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "Australia", "2018"], ["Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks", "", "University of Tokyo", "University of Tokyo", "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "35.90204480", "139.93622009", "edu", "", "Japan", "2018"], ["Robust Object Tracking Based on Principal Component Analysis and Local Sparse Representation", "State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Electrical and Information Engineering, Hunan University, Changsha, China", "Hunan University", "Hunan University", "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "26.88111275", "112.62850666", "edu", "", "China", "2015"], ["Labeling Spain With Stanford", "Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, USA", "SUNY Buffalo", "SUNY Buffalo", "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "42.93362780", "-78.88394479", "edu", "", "United States", "2013"], ["Auto-Sorting System Toward Smart Factory Based on Deep Learning for Image Segmentation", "School of Automation Science and Electrical Engineering, Beihang University, Beijing, China", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2018"], ["Automated annotation of coral reef survey images", "Scripps Institution of Oceanography}, University of California, San Diego", "University of California, San Diego", "University of California, San Diego", "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "32.87935255", "-117.23110049", "edu", "", "United States", "2012"], ["Fast Pixelwise Adaptive Visual Tracking of Non-Rigid Objects", "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "7 Passage du Vercors, 69007 Lyon, France", "45.72803070", "4.82594290", "edu", "", "France", "2017"], ["Efficient Single-Shot Multibox Detector for Construction Site Monitoring.", "", "Concordia University", "Concordia University", "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "45.57022705", "-122.63709346", "edu", "", "United States", "2018"], ["Scale-adaptive tracking based on perceptual hash and correlation filter", "Fujian Engineering Research Center of Public Service Big Data Mining and Application, Fuzhou, China", "Fujian Engineering Research Center of Public Service Big Data Mining and Application, Fuzhou, China", "Fujian Engineering Research Center of Public Service Big Data Mining and Application, Fuzhou, China", "Fuzhou, Fujian, China", "26.07447800", "119.29648200", "edu", "", "China", "2018"], ["Facade Segmentation in the Wild", "", "Miami University", "Miami University", "1601 University Blvd, Hamilton, OH 45011, USA", "39.37778800", "-84.56301210", "edu", "", "United States", "2018"], ["Superpixel Convolutional Networks using Bilateral Inceptions", "", "Max Planck Institute for Intelligent Systems", "Max Planck Institute for Intelligent Systems", "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "48.74689390", "9.08051410", "edu", "", "Germany", "2016"], ["LSDA: Large Scale Detection Through Adaptation", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2014"], ["Principal texture direction based block level image reordering and use of color edge features for application of object based image retrieval", "Department of Computer Science & Engineering, Indian Institute of Technology (ISM), Dhanbad, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2018"], ["A Scalable Pipelined Dataflow Accelerator for Object Region Proposals on FPGA Platform", "", "Duke University", "Duke University", "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "35.99905220", "-78.92906290", "edu", "", "United States", "2018"], ["Object recognition in art drawings: Transfer of a neural network", "History of Art, University of California, Berkeley, U.S.A.", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2016"], ["Painting-91: a large scale database for computational painting categorization", "Norwegian Colour and Visual Computing Laboratory, Gjovik University College, Gj\u00f8vik, Norway", "Gjovik University College", "Norwegian Colour and Visual Computing Laboratory, Gjovik University College, Gj\u00f8vik, Norway", "Gj\u00f8vik, Norway", "60.79543020", "10.69163030", "edu", "", "Norway", "2014"], ["The Reasonable Effectiveness of Synthetic Visual Data", "Toyota Research Institute, Ann Arbor, USA", "Toyota Research Institute", "Toyota Research Institute", "Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA", "37.40253645", "-122.11655107", "edu", "", "United States", "2018"], ["Exploring Person Context and Local Scene Context for Object Detection.", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2015"], ["Weakly Supervised Object Detection via Object-Specific Pixel Gradient", "Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, Shaanxi, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, 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Vision, Istituto Italiano di Tecnologia, Italy", "Istituto Italiano di Tecnologia", "Istituto Italiano di Tecnologia", "77 Massachusetts Ave, Cambridge, MA 02139, USA", "42.36009100", "-71.09416000", "edu", "", "United States", "2015"], ["A Sketch-based Approach for Multimedia Retrieval", "", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2016"], ["Semantic Segmentation , Urban Navigation , and Research Directions", "", "Princeton University", "Princeton University", "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "40.34829285", "-74.66308325", "edu", "", "United States", "2018"], ["Real-time object detection by a multi-feature fully convolutional network", "Beijing University of Posts and Telecommunications, Beijing, China, 100876", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "39.96014880", "116.35193921", "edu", "", "China", "2017"], ["Mining sub-categories for object detection", "State Key Laboratory on Intelligent Technology and Systems, TNList, Department of Automation, Tsinghua University, Beijing, China, 100084", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "China", "2012"], ["VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition", "", "KAIST", "KAIST", "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "36.37214270", "127.36039000", "edu", "", "South Korea", "2017"], ["Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods", "", "University of Surrey", "University of Surrey", "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "51.24303255", "-0.59001382", "edu", "", "United Kingdom", "2009"], ["Accurate object tracking by combining correlation filters and keypoints", "State Key Lab. LIESMARS, Wuhan University, 430079, China", "Wuhan University of Technology", "Wuhan University of Technology", "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "30.60903415", "114.35142840", "edu", "", "China", "2016"], ["Object Tracking via Partial Least Squares Analysis", "Department of Electrical Engineering and Computer Science, University of California, Merced, CA, USA", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2012"], ["Deep class-aware image denoising", "School of Electrical Engineering, Tel-Aviv University, Israel", "Tel Aviv University", "Tel Aviv University", "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "32.11198890", "34.80459702", "edu", "", "Israel", "2017"], ["Online Camera LiDAR Fusion and Object Detection on Hybrid Data for Autonomous Driving", "BMW Group Technology Office", "BMW Group Technology Office", "BMW Group Technology Office", "2606 Bayshore Pkwy, Mountain View, CA 94043, USA", "37.42588680", "-122.09783550", "edu", "", "", "2018"], ["Hierarchical Image Segmentation Based on Iterative Contraction and Merging", "Electronics Engineering Department, National Chiao Tung University, Hsinchu, Taiwan", "National Chiao Tung University", "National Chiao Tung University", "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "24.78676765", "120.99724412", "edu", "", "Taiwan", "2017"], ["Vicept: link visual features to concepts for large-scale image understanding", "Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences, Beijing, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2010"], ["Object proposal by multi-branch hierarchical segmentation", "Tongji University, China", "Tongji University", "Tongji University", "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "31.28473925", "121.49694909", "edu", "", "China", "2015"], ["StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection", "", "KAIST", "KAIST", "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "36.37214270", "127.36039000", "edu", "", "South Korea", "2018"], ["The hierarchical high-speed neural network image classification algorithm for video surveillance systems", "Research and Development Center \u00abELVEES\u00bb, Zelenograd, Russia", "Research and Development Center \u00abELVEES\u00bb, Zelenograd, Russia", "Research and Development Center \u00abELVEES\u00bb, Zelenograd, Russia", "\u043f\u0440\u043e\u0435\u0437\u0434 4922, \u0434\u043e\u043c 4 \u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435 2, \u0417\u0435\u043b\u0435\u043d\u043e\u0433\u0440\u0430\u0434, gorod Moskva, Russia, 124498", "55.98421800", "37.21807410", "edu", "", "Russia", "2018"], ["Understanding the coverage and scalability of place-centric crowdsensing", "Yonsei University, Seoul, South Korea", "Yonsei University", "Yonsei University", "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "37.56004060", "126.93692480", "edu", "", "South Korea", "2013"], ["Multiple Illumination Estimation with End-to-End Network", "National University of Defense Technology, China", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\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", "28.22902090", "112.99483204", "mil", "", "China", "2018"], ["Object Detection Meets Knowledge Graphs", "", "A*STAR, Singapore", "Institute for Infocomm Research, A*STAR, Singapore", "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "1.29889260", "103.78731070", "edu", "", "Singapore", "2017"], ["Convolutional neural networks for license plate detection in images", "Federal University of Technology - Parana, Brazil", "Federal University of Technology - Parana", "Federal University of Technology - Parana, Brazil", "R. Dep. Heitor Alencar Furtado, 5000 - Campo Comprido, Curitiba - PR, 81280-340, Brazil", "-25.44341230", "-49.35348310", "edu", "", "Brazil", "2017"], ["Towards a theory of computation in the visual cortex", "", "Brown University", "Brown University", "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "41.82686820", "-71.40123146", "edu", "", "United States", "2015"], ["Image Classification via Object-Aware Holistic Superpixel Selection", "School of Information Science and Technology, University of Science and Technology of China, Anhui, China", "University of Science and Technology of China", "University of Science and Technology of China", "\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", "31.83907195", "117.26420748", "edu", "", "China", "2013"], ["Immediate Structured Visual Search for Medical Images", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2011"], ["Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference", "", "Oxford, UK", "Oxford, UK", "Oxford, UK", "51.75202090", "-1.25772630", "edu", "", "", "2012"], ["Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency", "", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", "United States", "2018"], ["Inter-dependent CNNs for joint scene and object recognition", "University of California, Riverside, 92521, United States of America", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2016"], ["Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells.", "", "University of Adelaide", "University of Adelaide", "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "-34.91892260", "138.60423668", "edu", "", "Australia", "2018"], ["Video Annotation and Retrieval Using Ontologies and Rule Learning", "University of Florence, Italy", "University of Florence", "University of Florence", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "Italy", "2010"], ["Segmentation and Estimation of Spatially Varying Illumination", "Research School of Engineering, National ICT Australia, Australian National University, Canberra, ACT, Australia", "Australian National University", "Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "Australia", "2014"], ["Inference Compilation and Universal Probabilistic Programming", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", "", "United Kingdom", "2017"], ["Weaving Multi-scale Context for Single Shot Detector", "", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", "", "Singapore", "2017"], ["Exploiting a depth context model in visual tracking with correlation filter", "National Key Laboratory of Parallel and Distributed Processing, Changsha, China", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, 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for Efficient Weakly-Supervised Detection in Images.", "", "University of Toronto", "University of Toronto", "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "43.66333345", "-79.39769975", "edu", "", "Canada", "2014"], ["Learning Efficient Object Detection Models with Knowledge Distillation", "", "NEC Labs America", "NEC Labs America", "4 Independence Way #200, Princeton, NJ 08540, USA", "40.35981820", "-74.59502250", "company", "", "United States", "2017"], ["Context Refinement for Object Detection", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "Australia", "2018"], ["Object Proposal via Partial Re-ranking", "", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "United States", "2015"], ["Articulated Human Detection with Flexible Mixtures of Parts", "University of California at Irvine, Irvine", "University of California at Irvine", "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "Irvine, CA 92697, USA", "33.64049520", "-117.84429620", "edu", "", "United States", "2013"], ["Ambient Sound Provides Supervision for Visual Learning", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2016"], ["Multi-scale energy optimization for object proposal generation", "Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan", "National Tsing Hua University", "National Tsing Hua University", "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "24.79254840", "120.99511830", "edu", "", "Taiwan", "2016"], ["An Introduction to Random Forests for Multi-class Object Detection", "", "Katholieke Universiteit Leuven", "Katholieke Universiteit Leuven", "Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, Belgi\u00eb / Belgique / Belgien", "50.88306860", "4.70195030", "edu", "", "Belgium", "2011"], ["Damage Assessment from Social Media Imagery Data During Disasters", "The Pennsylvania State University, University Park, PA, USA", "University Park", "Pennsylvania State University, University Park, 16802, USA", "PENN ST UNIV, PA 16802, USA", "40.80840750", "-77.86388350", "edu", "", "United States", "2017"], ["Graph-Driven Diffusion and Random Walk Schemes for Image Segmentation", "School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece", "National Technical University of Athens", "National Technical University of Athens", 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Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2014"], ["Multiple Object Detection by a Deformable Part-Based Model and an R-CNN", "Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macao", "Macau University of Science and Technology", "Macau University of Science and Technology", "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "22.15263985", "113.56803206", "edu", "", "China", "2018"], ["Depth-aware layered edge for object proposal", "State Key Laboratory for Novel Software Technology, Nanjing University, China", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "China", "2016"], ["Unsupervised object discovery via self-organisation", "", "Aalto University", "Aalto University", "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "60.18558755", "24.82427330", "edu", "", "Finland", "2012"], ["A trajectory-based approach for object detection from video", "USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI), School of Computer Science and Technology, University of Science and Technology of China, Hefei, China, 230027", "University of Science and Technology of China", "University of Science and Technology of China", "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, 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"Singapore", "2018"], ["Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade", "", "Shenzhen Institutes of Advanced Technology", "Shenzhen Institutes of Advanced Technology", "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "22.59805605", "113.98533784", "edu", "", "China", "2017"], ["Automated Detection of Threat Objects Using Adapted Implicit Shape Model", "DCC, Pontificia Universidad Cat\u00f3lica de Chile, Santiago, Chile", "DCC, Pontificia Universidad Cat\u00f3lica de Chile, Santiago, Chile", "DCC, Pontificia Universidad Cat\u00f3lica de Chile, Santiago, Chile", "Vicu\u00f1a Mackenna 4860, Macul, Regi\u00f3n Metropolitana, Chile", "-33.49924050", "-70.61513600", "edu", "", "Chile", "2016"], ["Towards Scalable Dataset Construction: An Active Learning Approach", "", "Princeton University", "Princeton University", "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "40.34829285", "-74.66308325", "edu", "", "United States", "2008"], ["Visual saliency computation for image analysis", "", "Boston University", "Boston University", "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "42.35042530", "-71.10056114", "edu", "", "United States", "2016"], ["Figure-Ground Segmentation - Object-Based", "UMIC Research Centre, RWTH Aachen University, Aachen, Germany", "RWTH Aachen University", "RWTH Aachen University", "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "50.77917030", "6.06728733", "edu", "", "Germany", "2011"], ["KidPen: a stroke-based method for kid-style sketches synthesis from photos", "National Taiwan University", "National Taiwan University", "National Taiwan University", "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "25.01682835", "121.53846924", "edu", "", "Taiwan", "2017"], ["Real-Time and Robust Visual Tracking", "", "Hong Kong Polytechnic University", "Hong Kong Polytechnic University", "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "22.30457200", "114.17976285", "edu", "", "China", "2013"], ["TextMountain: Accurate Scene Text Detection via Instance Segmentation", "", "University of Science and Technology of China", "University of Science and Technology of China", "\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, 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"", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", "United States", "2015"], ["ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2016"], ["Efficient Metric Learning for Real-World Face Recognition", "", "Graz University of Technology", "Graz University of Technology", "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "47.05821000", "15.46019568", "edu", "", "Austria", "2013"], ["Content-Based Photo Quality Assessment", "Department of Information Engineering, Chinese University of Hong Kong, Hong Kong", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2011"], ["Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor", "", "University of Missouri", "University of Missouri", "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "38.92676100", "-92.29193783", "edu", "", "United States", "2012"], ["High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2017"], ["Dog breed classification via landmarks", "Video/Image Modeling and Synthesis Laboratory, Department of Computer and Information Sciences, University of Delaware, Newark, DE", "University of Delaware", "University of Delaware", "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "39.68103280", "-75.75401840", "edu", "", "United States", "2014"], ["How do humans sketch objects?", "TU Berlin", "TU Berlin", "TU Berlin", "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "52.51806410", "13.32504250", "edu", "Franklinstr. 28/29, 10587, Germany", "Germany", "2012"], ["Generating objects going well with the surroundings", "", "Seoul National University", "Seoul National University", "\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", "37.26728000", "126.98411510", "edu", "", "South Korea", "2018"], ["Fast Object Detection Using Multistage Particle Window Deformable Part Model", "", "National Chung Cheng University", "National Chung Cheng University", "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "23.56306355", "120.47510531", "edu", "", "Taiwan", "2014"], ["Structure-Measure: A New Way to Evaluate Foreground Maps", "", "Nankai University", "Nankai University", "94 Weijin Rd, Nankai Qu, China, 300071", "39.10394430", "117.17422320", "edu", "", "", "2017"], ["Efficient human computation: the distributed labeling problem", "Microsoft Corporation, Redmond, WA", "Intel Israel, Haifa, Israel", "Intel Israel, Haifa, Israel", "Haifa, Israel", "32.78981240", "34.96096980", "edu", "", "Israel", "2009"], ["Three for one and one for three: Flow, Segmentation, and Surface Normals", "", "University of Amsterdam", "University of Amsterdam", "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "52.35536550", "4.95016440", "edu", "", "Netherlands", "2018"], ["Towards High Performance Video Object Detection for Mobiles 3 2 Revisiting Video Object Detection Baseline", "", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2018"], ["Active Mask Hierarchies for Object Detection", "", "University of California, Los Angeles", "University of California, Los Angeles", "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "34.06877880", "-118.44500940", "edu", "", "United States", "2010"], ["Context modeling in computer vision: techniques, implications, and applications", "Florida Atlantic University, Boca Raton, USA", "Florida Atlantic University", "Florida Atlantic University, Boca Raton, USA", "777 Glades Rd, Boca Raton, FL 33434, USA", "26.37502340", "-80.10087510", "edu", "", "United States", "2010"], ["Multi-scale object detection by clustering lines", "Computer Science Division, EECS, University of California at Berkeley, USA", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2009"], ["Unsupervised Visual Representation Learning by Context Prediction", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2015"], ["Viewpoint-aware object detection and continuous pose estimation", "", "Toyota Technological Institute at Chicago", "Toyota Technological Institute at Chicago", "6045 S Kenwood Ave, Chicago, IL 60637, USA", "41.78469820", "-87.59258480", "company", "", "United States", "2012"], ["Progressively Diffused Networks for Semantic Image Segmentation", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2017"], ["Fusing visual and range imaging for object class recognition", "The center for neural computation, Hebrew university of Jerusalem, Israel 91904", "General Motors Advanced Technical Center, Herzliya, Israel", "General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel", "46733, HaMada St 7, Herzliya, Israel", "32.16659230", "34.81274680", "company", "", "Israel", "2011"], ["Discovering Object Classes from Activities", "", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2014"], ["Object detection at multiple scales improves accuracy", "Massachusetts Institute of Technology, Cambridge, USA", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2008"], ["Improved pedestrian detection using motion segmentation and silhouette orientation", "Department of Computer Science & Engineering, National Institute of Technology, Rourkela, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2017"], ["Depression Estimation Using Audiovisual Features and Fisher Vector Encoding", "INRIA Grenoble Rhone-Alpes, Grenoble, France", "INRIA", "INRIA Grenoble Rhone-Alpes, Grenoble, France", "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "45.21788600", "5.80736900", "edu", "", "France", "2014"], ["Learning Discriminative Hidden Structural Parts for Visual Tracking", "", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2014"], ["Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking", "", "Kingston University", "Kingston University", "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "51.42930860", "-0.26840440", "edu", "", "United Kingdom", "2014"], ["Reconfigurable Processor for Deep Learning in Autonomous Vehicles", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2017"], ["DAFE-FD: Density Aware Feature Enrichment for Face Detection", "", "Johns Hopkins University", "Johns Hopkins University", "Baltimore, MD 21218, USA", "39.32990130", "-76.62051770", "edu", "", "", "2019"], ["Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment", "", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", "United States", "2017"], ["AttentionNet: Aggregating Weak Directions for Accurate Object Detection", "", "KAIST", "KAIST", "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "36.37214270", "127.36039000", "edu", "", "South Korea", "2015"], ["GRANet: Global Refinement Atrous Convolutional Neural Network for Semantic Scene Segmentation", "State Key Laboratory of Virtual Reality Technology and Systems, Beihang University", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2018"], ["A Research and Strategy of Objection Detection on Remote Sensing Image", "Institute of software, Chinese Academy of Sciences, Science and Technology on Integrated Information System Laboratory, Beijing, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2018"], ["Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video", "", "University of East Anglia", "University of East Anglia", "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "52.62215710", "1.24091360", "edu", "", "United Kingdom", "2015"], ["A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback", "", "National Central University", "National Central University", "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "24.96841805", "121.19139696", "edu", "", "Taiwan", "2015"], ["Extreme Clicking for Efficient Object Annotation", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2017"], ["FigureSeer: Parsing Result-Figures in Research Papers", "", "University of Washington", "University of Washington", "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "47.65432380", "-122.30800894", "edu", "", "United States", "2016"], ["Fully Convolutional Networks for Semantic Segmentation", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2015"], ["Path Aggregation Network for Instance Segmentation", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2018"], ["An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues", "Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, Tianjin, China", "Tianjin University", "Tianjin University", "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "36.20304395", "117.05842113", "edu", "", "China", "2015"], ["Weakly Supervised Semantic Segmentation Using Web-Crawled Videos", "", "DGIST", "DGIST", "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "35.70528600", "128.45710200", "edu", "", "South Korea", "2017"], ["Image Captioning with an Intermediate Attributes Layer", "", "University of Adelaide", "University of Adelaide", "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "-34.91892260", "138.60423668", "edu", "", "Australia", "2015"], ["Quantifying and Transferring Contextual Information in Object Detection", "Sun Yat-sen University, China", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2012"], ["Source ( synthetic ) Target ( real ) feature dimension 1 feature dim ension", "", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2017"], ["Data Decomposition and Spatial Mixture Modeling for Part Based Model", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2012"], ["Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification", "", "Dartmouth College", "Dartmouth College", "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "43.70479270", "-72.29259090", "edu", "", "United States", "2016"], ["Visual Turing test for computer vision systems.", "", "Johns Hopkins University", "Johns Hopkins University", "Baltimore, MD 21218, USA", "39.32990130", "-76.62051770", "edu", "", "", "2015"], ["Pedestrian Detection: An Evaluation of the State of the Art", "MPI Informatics, Saabrucken", "MPI Informatics, Saabrucken", "MPI Informatics, Saabrucken", "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "49.25786570", "7.04579560", "edu", "", "Germany", "2012"], ["Improving Fully Convolution Network for Semantic Segmentation", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2016"], ["Dictionary learning for a sparse appearance model in visual tracking", "Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France", "Institut Mines-Telecom / Telecom Lille", "Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France", "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "50.60971560", "3.13728330", "edu", "", "France", "2015"], ["Automatic Dataset Augmentation", "", "Harbin Institute of Technology", "Harbin Institute of Technology", "\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", "45.74139210", "126.62552755", "edu", "", "China", "2017"], ["Objectness estimation using edges", "Institute of Automation, Chinese Academy of Sciences", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2015"], ["Deep TEN: Texture Encoding Network", "", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "United States", "2017"], ["Orientation robust object detection in aerial images using deep convolutional neural network", "School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2015"], ["Histograms of locally aggregated oriented gradients", "School of Computer Science and Technology, Harbin Institute of Technology, China", "Harbin Institute of Technology", "Harbin Institute of Technology", "\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", "45.74139210", "126.62552755", "edu", "", "China", "2015"], ["Advances in Multimedia Information Processing \u2013 PCM 2018", "University of Tokyo, Tokyo, Japan", "University of Tokyo", "University of Tokyo", "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "35.90204480", "139.93622009", "edu", "", "Japan", "2018"], ["Fast and accurate object detection in high resolution 4K and 8K video using GPUs", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2018"], ["Efficient object detection via structured learning and local classifiers", "", "Oxford Brookes University", "Oxford Brookes University", "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "51.75552050", "-1.22615970", "edu", "", "United Kingdom", "2013"], ["Water region detection supporting ship identification in port surveillance", "Video Coding and Architectures Research Group, Electrical Engineering Faculty, Eindhoven University of Technology, Eindhoven, The Netherlands", "TU Eindhoven", "TU Eindhoven", "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "51.44866020", "5.49039957", "edu", "", "Netherlands", "2012"], ["Refining Bounding-Box Regression for Object Localization", "", "Portland State University", "Portland State University", "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "45.51181205", "-122.68492999", "edu", "", "United States", "2018"], ["Integrated perception with recurrent multi-task neural networks", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", "", "United Kingdom", "2016"], ["Joint Calibration for Semantic Segmentation", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2015"], ["Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions", "", "National University of Ireland Maynooth", "National University of Ireland Maynooth", "National University of Ireland Maynooth, River Apartments, Maynooth, Maynooth ED, Maynooth Municipal District, County Kildare, Leinster, KILDARE, Ireland", "53.38469750", "-6.60039458", "edu", "", "Ireland", "2014"], ["Annotating images with suggestions: user study of a tagging system", "Faculty of Information Technology, VUT \u2014 Brno University of Technology, Brno, Czech Republic", "VUT \u2014 Brno University of Technology", "Faculty of Information Technology, VUT \u2014 Brno University of Technology, Brno, Czech Republic", "Bo\u017eet\u011bchova 1/2, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "49.22661600", "16.59664010", "edu", "", "Czech Republic", "2012"], ["Pattern Recognition and Image Analysis", "University of Alicante, Spain", "University of Alicante", "University of Alicante, Alicante, Spain", "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "38.38524460", "-0.51431610", "edu", "", "Spain", "2013"], ["Towards Open World Recognition", "", "University of Colorado at Colorado Springs", "University of Colorado at Colorado Springs", "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "38.89646790", "-104.80505940", "edu", "", "United States", "2015"], ["A Novel Linelet-Based Representation for Line Segment Detection", "Departments of Cognitive Science and Computer Science, John Hopkins University, Baltimore, MD", "Korea University", "Korea University", "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "37.59014110", "127.03623180", "edu", "", "South Korea", "2018"], ["Fast Image-Based Geometric Change Detection Given a 3D Model", "Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2018"], ["Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation", "", "Harbin Institute of Technology", "Harbin Institute of Technology", "\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", "45.74139210", "126.62552755", "edu", "", "China", "2017"], ["An Analysis of Action Recognition Datasets for Language and Vision Tasks", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2017"], ["Spectral GeometricMethods for Deformable 3 D Shape Retrieval", "", "Concordia University", "Concordia University", "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "45.57022705", "-122.63709346", "edu", "", "United States", "2013"], ["Beyond Trade-Off: Accelerate FCN-Based Face Detector with Higher Accuracy", "", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2018"], ["DeRPN: Taking a further step toward more general object detection", "", "South China University of Technology", "South China University of Technology", "\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", "23.05020420", "113.39880323", "edu", "", "China", "2018"], ["Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation", "", "GE Global Research Center", "GE Global Research Center", "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "42.82982480", "-73.87719385", "edu", "", "United States", "2018"], ["Revisiting 3D geometric models for accurate object shape and pose", "Photogrammetry and Remote Sensing Laboratory, ETH Z\u00fcrich, Switzerland", "ETH Z\u00fcrich", "ETH Z\u00fcrich", "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "47.37645340", "8.54770931", "edu", "", "Switzerland", "2011"], ["Segmentation Free Object Discovery in Video", "", "University of Florence", "University of Florence", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "Italy", "2016"], ["Hierarchical Parsing Net: Semantic Scene Parsing From Global Scene to Objects", "School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China", "University of Electronic Science and Technology of China", "University of Electronic Science and Technology of China", "Columbus, OH 43210, USA", "40.01419050", "-83.03091430", "edu", "", "United States", "2018"], ["Visual grasp affordances from appearance-based cues", "UC Berkeley, USA", "UC Berkeley, USA", "UC Berkeley, USA", "Berkeley, CA, USA", "37.87159260", "-122.27274700", "edu", "", "United States", "2011"], ["Dense and Sparse Labeling With Multidimensional Features for Saliency Detection", "Biomedical and Multimedia Information Technology Research Group, The University of Sydney, Darlington, NSW, Australia", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "Australia", "2018"], ["Coupled-layer based visual tracking via adaptive kernelized correlation filters", "School of Electro-Mechanical Engineering, Xidian University, Xi\u2019an, China", "Xidian University", "Xidian University", "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", "34.12358250", "108.83546000", "edu", "", "China", "2016"], ["Multi-sensors people detection system for heavy machines", "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "49.41522420", "2.81911440", "edu", "", "France", "2014"], ["Semantic segmentation priors for object discovery", "Institute of Computer Science VI, University of Bonn, Germany", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2016"], ["Crowd Saliency Detection via Global Similarity Structure", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2014"], ["Robust Visual Tracking Using Exemplar-Based Detectors", "National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China", "Huazhong University of Science and Technology", "Huazhong University of Science and Technology", "\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", "30.50975370", "114.40628810", "edu", "", "China", "2017"], ["An Empirical Evaluation of Current Convolutional Architectures\u2019 Ability to Manage Nuisance Location and Scale Variability", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2016"], ["Three Dimensional Representation and Reasoning for Indoor Scene Understanding", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2013"], ["Dynamic Feature Matching for Partial Face Recognition", "People\u2019s Public Security University of China, Beijing, China", "People\u2019s Public Security University of China", "People\u2019s Public Security University of China, Beijing, China", "Changping, Beijing, China, 102202", "40.12794800", "116.27810200", "edu", "", "China", "2018"], ["Local Image Descriptor: Modern Approaches", "School of EEE, Nanyang Technological University, Singapore, Singapore", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2015"], ["When VLAD Met Hilbert", "", "NICTA and Australian National University", "NICTA and Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "Australia", "2016"], ["Adapting RANSAC SVM to Detect Outliers for Robust Classification", "", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2015"], ["Can Diversity amongst Learners Improve Online Object Tracking", "Department of Informatics, University of Oslo, Norway", "University of Oslo", "University of Oslo", "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "59.93891665", "10.72170765", "edu", "", "Norway", "2013"], ["People detection in heavy machines applications", "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "49.41522420", "2.81911440", "edu", "", "France", "2013"], ["DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks", "", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\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", "28.22902090", "112.99483204", "mil", "", "China", "2018"], ["Gibson Env: Real-World Perception for Embodied Agents", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2018"], ["Object localization in ImageNet by looking out of the window", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2015"], ["Real-time visual tracking using compressive sensing", "NICTA, Canberra Research Laboratory, ACT, Australia", "NICTA", "NICTA", "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "42.00877410", "-87.89585490", "edu", "", "United States", "2011"], ["Multiple Instance Curriculum Learning for Weakly Supervised Object Detection", "", "Google", "Google, Inc.", "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "37.42199990", "-122.08405750", "company", "Google, Mountain View, CA", "United States", "2017"], ["Exploiting language models to recognize unseen actions", "University of Trento, Trento, Italy", "University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", "", "Italy", "2013"], ["Pose Induction for Novel Object Categories", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2015"], ["Predicting Failures of Vision Systems", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2014"], ["Adaptive visual tracking with reacquisition ability for arbitrary objects", "Ningbo Institute of Technology, Zhejiang University, China", "Zhejiang University", "Zhejiang University", "\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", "30.19331415", "120.11930822", "edu", "", "China", "2013"], ["Multi-pose face detection for accurate face logging", "Media Integration and Communication Center - University of Florence", "University of Florence", "University of Florence", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "Italy", "2012"], ["Multi-view object instance recognition in an industrial context", "", "University of Surrey", "University of Surrey", "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "51.24303255", "-0.59001382", "edu", "", "United Kingdom", "2017"], ["Exploring the Potential of Using Semantic Context and Common Sense in On-Road Vehicle Detection", "Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi, P.R., 710049, China", "Xi\u2019an Jiaotong University", "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "34.25080300", "108.98369300", "edu", "", "China", "2018"], ["Is my new tracker really better than yours?", "Faculty of Computer and Information Science, University of Ljubljana, Tr\u0159a\u0161ka 25, Slovenia", "University of Ljubljana", "University of Ljubljana", "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "46.05015580", "14.46907327", "edu", "", "Slovenia", "2014"], ["Markov Chain Monte Carlo for Automated Face Image Analysis", "Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland", "University of Basel", "University of Basel", "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "47.56126510", "7.57529610", "edu", "", "Switzerland", "2016"], ["Partial Occlusion Handling in Pedestrian Detection With a Deep Model", "Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2016"], ["Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network", "", "University of Michigan", "University of Michigan", "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "42.29421420", "-83.71003894", "edu", "", "United States", "2016"], ["Outlining Objects for Interactive Segmentation on Touch Devices", "University of Toulouse, Toulouse, France", "University of Toulouse", "University of Toulouse", "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "30.17818160", "-93.23605810", "edu", "", "United States", "2017"], ["Online multiple objects tracking with detection reliability prior constraint", "School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China", "Guangdong University of Technology", "Guangdong University of Technology", "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "23.13538360", "113.29470496", "edu", "", "China", "2017"], ["Learning to detect, localize and recognize many text objects in document images from few examples", "Teklia SAS, Paris, France", "LIRIS, INSA-Lyon, Villeurbanne, France", "LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France", "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "45.78332440", "4.87819840", "edu", "", "France", "2018"], ["Attacking Object Detectors via Imperceptible Patches on Background", "", "GE Global Research Center", "GE Global Research Center", "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "42.82982480", "-73.87719385", "edu", "", "United States", "2018"], ["Objects as Context for Detecting Their Semantic Parts", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2018"], ["Mind Your Language: Abuse and Offense Detection for Code-Switched Languages", "", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", "2018"], ["Progressive Recurrent Learning for Visual Recognition", "", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "China", "2018"], ["Hinge-Minimax Learner for the Ensemble of Hyperplanes", "", "University of Haifa", "University of Haifa", "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, \u05d9\u05e9\u05e8\u05d0\u05dc", "32.76162915", "35.01986304", "edu", "", "Israel", "2018"], ["Deep Learning based Vehicle Detection in Aerial Imagery", "", "Karlsruhe Institute of Technology", "Karlsruhe Institute of Technology", "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "49.10184375", "8.43312560", "edu", "", "Germany", "2018"], ["Image smoothing via unsupervised learning", "", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2018"], ["Inverse Sparse Tracker With a Locally Weighted Distance Metric", "School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China", "Dalian University of Technology", "Dalian University of Technology", "\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", "38.88140235", "121.52281098", "edu", "", "China", "2015"], ["Evaluating ResNeXt Model Architecture for Image Classification", "", "University of Waterloo", "University of Waterloo", "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "43.47061295", "-80.54724732", "edu", "", "Canada", "2018"], ["Weakly Supervised Semantic Segmentation Based on Co-segmentation", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2017"], ["Cross-Modal Learning to Rank with Adaptive Listwise Constraint", "School of Information Technology in Education, South China Normal University", "South China Normal University", "South China Normal University", "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "23.14319700", "113.34009651", "edu", "", "China", "2018"], ["Deconstructing the Deformable Parts Model : Do More with Less", "", "University of Massachusetts", "University of Massachusetts", "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "42.38897850", "-72.52869870", "edu", "", "United States", "2014"], ["Realtime multi-aircraft tracking in aerial scene with deep orientation network", "School of Automation Science and Electrical Engineer, Beihang University, Beijing, China", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2018"], ["Human-like Clustering with Deep Convolutional Neural Networks", "", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", "", "United States", "2017"], ["Feature Selective Networks for Object Detection", "", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2018"], ["Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation", "National Laboratory of Pattern Recognition, Institute of Automations, Chinese Academy of Sciences, Beijing, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2016"], ["A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels.", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2019"], ["Generic Visual Recognition on Non-Uniform Distributions Based on AdaBoost Codebooks", "", "Iran", "Iran", "Iran", "32.42790800", "53.68804600", "edu", "", "Iran", "2011"], ["Codemaps - Segment, Classify and Search Objects Locally", "", "University of Amsterdam", "University of Amsterdam", "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "52.35536550", "4.95016440", "edu", "", "Netherlands", "2013"], ["Combining deep reinforcement learning with prior knowledge and reasoning", "National Institute of Informatics, Tokyo, Japan", "National Institute of Informatics, Japan", "National Institute of Informatics, Japan", "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "35.69248530", "139.75825330", "edu", "", "Japan", "2018"], ["Incremental Domain Adaptation of Deformable Part-based Models", "", "Universitat Aut\u00f2noma de Barcelona", "Universitat Aut\u00f2noma de Barcelona", "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "41.50078110", "2.11143663", "edu", "", "Spain", "2014"], ["Traffic congestion judgment based on linear spatial pyramid matching using sparse coding", "School of Electrical and Computer Engineering, University of Electronic Science and Technology of China, Chengdu, China", "University of Electronic Science and Technology of China", "University of Electronic Science and Technology of China", "Columbus, OH 43210, USA", "40.01419050", "-83.03091430", "edu", "", "United States", "2014"], ["Learning coarse-to-fine sparselets for efficient object detection and scene classification", "", "Northwestern Polytechnical University", "Northwestern Polytechnical University", "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "34.24691520", "108.91061982", "edu", "", "China", "2015"], ["Has my algorithm succeeded? an evaluator for human pose estimators", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2012"], ["OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie", "Idiap Research Institute, 1920 Martigny, Switzerland", "IDIAP Research Institute", "IDIAP Research Institute", "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "46.10923700", "7.08453549", "edu", "", "Switzerland", "2010"], ["Automatic discovery of meaningful object parts with latent CRFs", "Department of Computer Science, TU Darmstadt", "TU Darmstadt", "TU Darmstadt", "Karolinenpl. 5, 64289 Darmstadt, Germany", "49.87482770", "8.65632810", "edu", "", "Germany", "2010"], ["Computational Baby Learning.", "", "Beijing Jiaotong University", "Beijing Jiaotong University", "\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", "39.94976005", "116.33629046", "edu", "", "China", "2014"], ["Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors", "", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\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", "28.22902090", "112.99483204", "mil", "", "China", "2018"], ["Visual Object Recognition", "", "RWTH Aachen University", "RWTH Aachen University", "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "50.77917030", "6.06728733", "edu", "", "Germany", "2011"], ["Object detection based on ensemble of exemplars", "Key Laboratory of System Control and Information Processing, Ministry of Education, Department of Automation, Shanghai Jiao Tong University, China", "Shanghai Jiao Tong University", "Shanghai Jiao Tong University", "\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", "31.20081505", "121.42840681", "edu", "", "China", "2015"], ["Tooth guard: A vision system for detecting missing tooth in rope mine shovel", "Yahoo, Inc.", "Yahoo, Inc.", "Yahoo, Inc.", "1680 N Glenville Dr # 100, Richardson, TX 75081, USA", "32.97000100", "-96.70543110", "company", "", "United States", "2016"], ["Accurate real-time people counting for crowded environments", "", "University of Florence", "University of Florence", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "Italy", "2015"], ["A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "TU Dortmund University", "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "51.49219020", "7.41413620", "edu", "", "Germany", "2018"], ["Object recognition and retrieval by context dependent similarity kernels", "UMR 5141, LTCI, Telecom ParisTech, France", "UMR 5141, LTCI, Telecom ParisTech, France", "UMR 5141, LTCI, Telecom ParisTech, France", "46 Rue Barrault, 75013 Paris, France", "48.82629430", "2.34641880", "edu", "", "France", "2008"], ["Particle dynamics and multi-channel feature dictionaries for robust visual tracking", "", "Rensselaer Polytechnic Institute", "Rensselaer Polytechnic Institute", "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "42.72984590", "-73.67950216", "edu", "", "United States", "2015"], ["Long-Term Tracking by Decision Making", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2017"], ["CSPS: An Adaptive Pooling Method for Image Classification", "School of Electronics Engineering and Computer Science, Peking University, Beijing, China", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "China", "2016"], ["Top-Down Saliency Detection via Contextual Pooling", "Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, People\u2019s Republic of China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2014"], ["Recognizing Products: A Per-exemplar Multi-label Image Classification Approach", "Department of Computer Science, ETH Zurich, Switzerland", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "2014"], ["Automatic Garage Door Opening Using License Plate Recognition and Fingerprint Verification", "", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2015"], ["Supervised sparse representation with coefficients' group constraint", "Beijing University of Posts and Telecommunications, Beijing, China, 100876", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "39.96014880", "116.35193921", "edu", "", "China", "2012"], ["Adaptive estimation of inlier and outlier threshold", "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "35.22537080", "126.84618340", "edu", "", "", "2013"], ["Accurate Vision-based Vehicle Localization using Satellite Imagery", "", "Toyota Technological Institute at Chicago", "Toyota Technological Institute at Chicago", "6045 S Kenwood Ave, Chicago, IL 60637, USA", "41.78469820", "-87.59258480", "company", "", "United States", "2015"], ["Robust Visual Tracking Via Consistent Low-Rank Sparse Learning", "School of Engineering, University of California at Merced, Merced, USA", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2014"], ["An optimized target tracking algorithm of online boosting", "Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072,China", "Northwestern Polytechnical University", "Northwestern Polytechnical University", "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "34.24691520", "108.91061982", "edu", "", "China", "2014"], ["Fine-grained object recognition with Gnostic Fields", "Jet Propulsion Laboratory, California Institute of Technology, USA", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", "", "United States", "2014"], ["Scale-aware multi-level guidance for interactive instance segmentation", "", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", "", "Singapore", "2018"], ["Decentralized Dictionary Learning Over Time-Varying Digraphs Decentralized Dictionary Learning Over Time-Varying Digraphs", "", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", "", "United States", "2018"], ["Understanding object descriptions in robotics by open-vocabulary object retrieval and detection", "", "Friedrich Schiller University of Jena", "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "50.92776710", "11.58217290", "edu", "", "Germany", "2016"], ["Improving public datasets markings' quality using unsupervised refinement kernels", "University Politehnica of Bucharest", "University Politehnica of Bucharest", "University Politehnica of Bucharest", "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "44.43918115", "26.05044565", "edu", "", "Romania", "2018"], ["RTSeg: Real-Time Semantic Segmentation Comparative Study", "", "University of Alberta", "University of Alberta", "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "53.52385720", "-113.52282665", "edu", "", "Canada", "2018"], ["Local Context Priors for Object Proposal Generation", "", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "2012"], ["Rendering Physically Correct Raindrops on Windshields for Robustness Verification of Camera-based Object Recognition", "University of T\u00fcbingen", "University of T\u00fcbingen", "University of T\u00fcbingen", "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "48.52947820", "9.04377400", "edu", "", "", "2018"], ["Inverting and Visualizing Features for Object Detection", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2012"], ["Scale-invariant sampling for supervised image segmentation", "Pattern Recognition Laboratory, Delft University of Technology, Mekelweg 4, 2628 CD Delft, the Netherlands", "Delft University of Technology", "Delft University of Technology", "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "51.99882735", "4.37396037", "edu", "", "Netherlands", "2012"], ["Measuring and increasing the capacity of Natural HOG Statistics", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2017"], ["An active search strategy for efficient object class detection", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2015"], ["Multi-modal gesture recognition challenge 2013: dataset and results", "University of Texas, Texas, USA", "University of Texas", "The University of Texas", "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "32.31630780", "-95.25369944", "edu", "", "United States", "2013"], ["If You Can't Beat Them, Join Them: Learning with Noisy Data", "Institute for Infocomm Research, Singapore, Singapore", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", "2015"], ["Exploring the geo-dependence of human face appearance", "", "University of Kentucky", "University of Kentucky", "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "38.03337420", "-84.50177580", "edu", "", "United States", "2014"], ["Fine-grained evaluation on face detection in the wild", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2015"], ["Gated Bi-directional CNN for Object Detection", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2016"], ["A Feature Descriptor Based on Local Normalized Difference for Real-World Texture Classification", "School of Control Science and Engineering, Shandong University, Jinan, China", "Shandong University", "Shandong University", "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "36.36934730", "120.67381800", "edu", "", "China", "2018"], ["A Discriminative Latent Model of Object Classes and Attributes", "", "Simon Fraser University", "Simon Fraser University", "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "49.27674540", "-122.91777375", "edu", "", "Canada", "2010"], ["End-to-end training of object class detectors for mean average precision", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2016"], ["A system for real-time detection and tracking of vehicles from a single car-mounted camera", "The Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic", "Czech Technical University", "Czech Technical University", "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "50.07642960", "14.41802312", "edu", "", "Czech Republic", "2012"], ["Generalized Deformable Spatial Pyramid: Geometry-preserving dense correspondence estimation", "Center for Imaging Media Research, Robot & Media Institute, KIST, Seoul, Korea", "KAIST", "KAIST", "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "36.37214270", "127.36039000", "edu", "", "South Korea", "2015"], ["Deep Learning for Object Saliency Detection and Image Segmentation", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2015"], ["Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach", "", "University of Bristol", "University of Bristol", "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "51.45848370", "-2.60977520", "edu", "", "United Kingdom", "2012"], ["Semi- and Weakly- Supervised Semantic Segmentation with Deep Convolutional Neural Networks", "Institute of Automation, Chinese Academy of Sciences, Beijing, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2015"], ["Weakly supervised localization of novel objects using appearance transfer", "", "University of Manitoba", "University of Manitoba", "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "49.80915360", "-97.13304179", "edu", "", "Canada", "2015"], ["Unsupervised domain adaptation of deep object detectors", "", "Indian Institute of Technology Delhi", "IIIT-Delhi, India", "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "28.54632595", "77.27325504", "edu", "", "India", "2018"], ["Augmented songbook: an augmented reality educational application for raising music awareness", "L3i Laboratory, Universit\u00e9 de La Rochelle, La Rochelle cedex 1, France", "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "14-16 Rue Voltaire, 94270 Le Kremlin-Bic\u00eatre, France", "48.81552200", "2.36297300", "edu", "", "France", "2017"], ["Assemble New Object Detector With Few Examples", "Microsoft Advanced Technology Center, Beijing, China", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2011"], ["Semantic Segmentation for Real-World Data by Jointly Exploiting Supervised and Transferrable Knowledge", "", "National Tsing Hua University", "National Tsing Hua University", "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "24.79254840", "120.99511830", "edu", "", "Taiwan", "2016"], ["Open Logo Detection Challenge", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2018"], ["A category-level 3-D object dataset: Putting the Kinect to work", "UC Berkeley and Max-Plank-Institute for Informatics, Germany", "UC Berkeley and Max-Plank-Institute for Informatics, Germany", "UC Berkeley and Max-Plank-Institute for Informatics, Germany", "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "49.25786570", "7.04579560", "edu", "", "Chile", "2011"], ["Plug-and-play correlation filters for visual tracking", "Dalian University of Technology", "Dalian University of Technology", "Dalian University of Technology", "\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", "38.88140235", "121.52281098", "edu", "", "China", "2018"], ["Computer Vision and Deep Learning for Automated Surveillance Technology", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2016"], ["Entropy-based Latent Structured Output Prediction-Supplementary materials", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2015"], ["Double Low Rank Matrix Recovery for Saliency Fusion", "School of Technology, Nanjing Audit University, Nanjing, China", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "China", "2016"], ["A model for full local image interpretation", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2015"], ["STARS: A new ensemble partitioning approach", "Computer Aided Medical Procedures, Technische Universität München, Germany", "TU M\u00fcnchen", "Computer Aided Medical Procedures, Technische Universität München, Germany", "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "48.26301100", "11.66685700", "edu", "", "Germany", "2011"], ["Deep-learning-based object-level contour detection with CCG and CRF optimization", "Institute of Computer Science and Technology, Beijing, China", "Institute of Computer Science and Technology, Beijing, China", "Institute of Computer Science and Technology, Beijing, China", "China, Beijing, Haidian, Zhongguancun N St, \u9038\u592b\u82d1", "39.99065830", "116.31493890", "edu", "", "", "2017"], ["Discriminative spatial saliency for image classification", "LEAR, INRIA Grenoble Rh\u00f4ne-Alpes", "LEAR, INRIA Grenoble Rh\u00f4ne-Alpes", "LEAR, INRIA Grenoble Rh\u00f4ne-Alpes", "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "48.66544710", "6.15702390", "edu", "", "", "2012"], ["Scene 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Surrey, South East, England, GU2 7XH, UK", "51.24303255", "-0.59001382", "edu", "", "United Kingdom", "2013"], ["Algorithm Selection Platform in Real-World Intelligent Systems", "", "Tohoku University", "Tohoku University", "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "38.25309450", "140.87365930", "edu", "", "Japan", "2015"], ["Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection", "Department of the Robotics Program, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea", "Korea Advanced Institute of Science and Technology", "Korea Advanced Institute of Science and Technology", "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "36.36971910", "127.36253700", "edu", "", "South Korea", "2015"], ["Learning Sparse 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["Structured class-labels in random forests for semantic image labelling", "Institute for Computer Graphics and Vision, Graz University of Technology - Austria", "Graz University of Technology - Austria", "Institute for Computer Graphics and Vision, Graz University of Technology - Austria", "Inffeldgasse 16, 8010 Graz, Austria", "47.05829450", "15.45811320", "edu", "", "Austria", "2011"], ["Deep Bottleneck Feature for Image Classification", "University of Science and Technology of China, Hefei, China", "University of Science and Technology of China", "University of Science and Technology of China", "\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", "31.83907195", "117.26420748", "edu", "", "China", "2015"], ["Curious George: An Integrated Visual Search Platform", "", "Kingston University", "Kingston University", "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "51.42930860", "-0.26840440", "edu", "", "United Kingdom", "2010"], ["Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks", "National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\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", "28.22902090", "112.99483204", "mil", "", "China", "2017"], ["Investigations of an \" Objectness \" Measure for Object Localization", "", "Portland State University", "Portland State University", "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "45.51181205", "-122.68492999", "edu", "", "United States", "2016"], ["Weakly supervised human body detection under arbitrary poses", "Nanjing University of Aeronautics and Astronautics, Department of Computer Science and Technology", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "China", "2016"], ["Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "University of Maryland, College Park, College Park, USA", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2017"], ["A random-forest random field approach for cellular image segmentation", "School of Computing, National University of Singapore, Singapore", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", "", "Singapore", "2014"], ["Word Prior Detection Segmentation Input \" The left guy \" Image : Query : a guy left the youth Energy", "", "IBM Thomas J. Watson Research Center", "IBM Thomas J. Watson Research Center", "IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA", "41.21002475", "-73.80407056", "company", "", "United States", "2017"], ["Structured Weak Semantic Space Construction for Visual Categorization", "Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2018"], ["Prime Object Proposals with Randomized Prim's Algorithm", "", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "2013"], ["Towards the Internet of Services: The THESEUS Research Program", "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "Hasso-Plattner-Ring 7, 69190 Walldorf, Germany", "49.29446970", "8.63673580", "edu", "", "Turkey", "2014"], ["Quality Assessment for Crowdsourced Object Annotations", "", "Brown University", "Brown University", "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "41.82686820", "-71.40123146", "edu", "", "United States", "2011"], ["ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)", "State Key Lab. LIESMARS, Wuhan University, China", "Wuhan University of Technology", "Wuhan University of Technology", "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "30.60903415", "114.35142840", "edu", "", "China", "2018"], ["Semantic mapping using object-class segmentation of RGB-D images", "Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany", "Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany", "Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany", "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "50.74890520", "7.20233730", "company", "", "Germany", "2012"], ["Deep neural networks can be improved using human-derived contextual expectations", "", "Indian Institute of Science Bangalore", "Indian Institute of Science Bangalore", "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "13.02223470", "77.56718325", "edu", "", "India", "2018"], ["A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2012"], ["Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "", "Fudan University", "Fudan University", "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "31.30104395", "121.50045497", "edu", "", "China", "2017"], ["Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation", "", "South China University of Technology", "South China University of Technology", "\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", "23.05020420", "113.39880323", "edu", "", "China", "2018"], ["Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images", "", "University of Warwick", "University of Warwick", "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "52.37931310", "-1.56042520", "edu", "", "United Kingdom", "2018"], ["A Dual-CNN Model for Multi-label Classification by Leveraging Co-occurrence Dependencies Between Labels", "School of Computer Science and Technology, Shandong University, Jinan, China", "Shandong University", "Shandong University", "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "36.36934730", "120.67381800", "edu", "", "China", "2017"], ["Robust Structural Sparse Tracking", "University of California, Merced, CA, 95344", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2018"], ["Color Image Reconstruction with Perceptual Compressive Sensing", "School of Artificial Intelligence, Xidian University, Xi'an, 710071, China", "Xidian University", "Xidian University", "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", "34.12358250", "108.83546000", "edu", "", "China", "2018"], ["Asking for Help with the Right Question by Predicting Human Visual Performance", "", "University of California, Santa Barbara", "University of California, Santa Barbara", "UCSB, Santa Barbara County, California, 93106, USA", "34.41459370", "-119.84581950", "edu", "", "United States", "2016"], ["Fast-Match: Fast Affine Template Matching", "Yahoo Research Labs, Haifa, Israel", "Tel Aviv University", "Tel Aviv University", "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - 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Finding cars, pedestrians and bicyclists in 3D laser data", "Mobile Robotics Group, Oxford University, UK", "Oxford University", "Oxford University", "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "51.75208490", "-1.25166460", "edu", "", "United Kingdom", "2012"], ["Training Deep Networks with Structured Layers by Matrix Backpropagation", "", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2015"], ["Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China", "University of Electronic Science and Technology of China", "University of Electronic Science and Technology of China", "Columbus, OH 43210, USA", "40.01419050", "-83.03091430", "edu", "", "United States", "2018"], ["Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation", "School of Information Systems Singapore Management University, Singapore", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", "2014"], ["Fine-grained Activity Recognition with Holistic and Pose based Features", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2014"], ["Spatial Memory for Context Reasoning in Object Detection", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2017"], ["Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data", "College of Automotive Engineering, Kookmin University, Seoul, South Korea", "Kookmin University", "Kookmin University", "\uad6d\ubbfc\ub300\ud559\uad50\uc55e, \uc815\ub989\ub85c, \uc815\ub9892\ub3d9, \uc815\ub989\ub3d9, \uc131\ubd81\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02708, \ub300\ud55c\ubbfc\uad6d", "37.61075540", "126.99466350", "edu", "", "South Korea", "2018"], ["Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades", "School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2015"], ["DR AF T Supervision Beyond Human Annotations for Learning Visual Representations", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2015"], ["Deep CNN Ensemble with Data Augmentation for Object Detection", "", "Australian National University", "Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "Australia", "2015"], ["SCNet: Learning Semantic Correspondence", "", "University of Hong Kong", "University of Hong Kong", "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "22.20814690", "114.25964115", "edu", "", "China", "2017"], ["Region-based fully convolutional networks for vertical corner line detection", "School of Computer Science and Technology, Soochow University, Suzhou, China", "Soochow University", "Soochow University", "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "31.30709510", "120.63573987", "edu", "", "China", "2017"], ["Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection", "Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA", "University of Michigan", "University of Michigan", "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "42.29421420", "-83.71003894", "edu", "", "United States", "2017"], ["Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer", "", "University of Washington", "University of Washington", "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "47.65432380", "-122.30800894", "edu", "", "United States", "2016"], ["Closed-Form Approximate CRF Training for Scalable Image Segmentation", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2014"], ["Coarse adaptive color image segmentation for visual object classification", "LIRIS, Ecole Centrale de Lyon, Batiment E6, 15 Avenue Guy de Collongue, 69134 Ecully Cedex, France", "LIRIS, Ecole Centrale de Lyon, Batiment E6, 15 Avenue Guy de Collongue, 69134 Ecully Cedex, France", "LIRIS, Ecole Centrale de Lyon, Batiment E6, 15 Avenue Guy de Collongue, 69134 Ecully Cedex, France", "36 Avenue Guy de Collongue, 69134 \u00c9cully, France", "45.78385960", "4.76918990", "edu", "", "France", "2008"], ["Learning View Priors for Single-view 3D Reconstruction.", "", "University of Tokyo", "University of Tokyo", "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "35.90204480", "139.93622009", "edu", "", "Japan", "2018"], ["Boundary-sensitive Network for Portrait Segmentation", "", "Samsung Research America", "Samsung Research America", "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "37.40197350", "-122.04778760", "edu", "", "United States", "2017"], ["Optimizing Average Precision Using Weakly Supervised Data", "Ecole Centrale Paris & INRIA Saclay, France", "Ecole Centrale Paris & INRIA Saclay, France", "Ecole Centrale Paris & INRIA Saclay, France", "1 Rue Honor\u00e9 d'Estienne d'Orves, 91120 Palaiseau, France", "48.71464030", "2.20565390", "edu", "", "France", "2014"], ["Online Spatio-temporal Structural Context Learning for Visual Tracking", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2012"], ["Automatic graphic logo detection via Fast Region-based Convolutional Networks", "", "University of Coimbra", "University of Coimbra", "Reitoria da Universidade de Coimbra, Rua de Entre-Col\u00e9gios, Almedina, Alta, Almedina, S\u00e9 Nova, Santa Cruz, Almedina e S\u00e3o Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal", "40.20759510", "-8.42566148", "edu", "", "Portugal", "2016"], ["Robust visual tracking based on L1 expanded template", "The School of Electrical Engineering and Automation, Harbin Institute of Technology, P.R. China", "Harbin Institute of Technology", "Harbin Institute of Technology", "\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", "45.74139210", "126.62552755", "edu", "", "China", "2017"], ["A novel target detection algorithm combining foreground and background manifold-based models", "University of Caen, Caen, France", "University of Caen", "University of Caen", "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "35.02749960", "135.78154513", "edu", "", "Japan", "2015"], ["Supervised hierarchical Pitman-Yor process for natural scene segmentation", "UC Berkeley", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2011"], ["Proposal generation for object detection using cascaded ranking SVMs", "Oxford Brookes University, Oxford, UK", "Oxford Brookes University", "Oxford Brookes University", "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "51.75552050", "-1.22615970", "edu", "", "United Kingdom", "2011"], ["Automatic Extraction of Built-Up Areas From Panchromatic and Multispectral Remote Sensing Images Using Double-Stream Deep Convolutional Neural Networks", "National Key Laboratory of Science & Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China", "Huazhong University of Science and Technology", "Huazhong University of Science and Technology", "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, 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"\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2018"], ["CASENet: Deep Category-Aware Semantic Edge Detection", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2017"], ["Improving Accuracy of the Edgebox Approach", "", "Utah State University", "Utah State University", "Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA", "41.74115040", "-111.81223090", "edu", "", "United States", "2018"], ["Instance-Level Human Parsing via Part Grouping Network", "", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), 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Washington", "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "47.65432380", "-122.30800894", "edu", "", "United States", "2018"], ["Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network", "", "Xidian University", "Xidian University", "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", "34.12358250", "108.83546000", "edu", "", "China", "2018"], ["Cross-depiction problem: Recognition and synthesis of photographs and artwork", "School of Computer Science, University of Adelaide, Adelaide, Australia", "University of Adelaide", "University of Adelaide", "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "-34.91892260", "138.60423668", "edu", "", "Australia", "2015"], ["Deep Coupled Metric Learning for Cross-Modal Matching", "School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2017"], ["Robust person head detection based on multi-scale representation fusion of deep convolution neural network", "Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2017"], ["High performance and fast object detection in road environments", "DGIST", "DGIST", "DGIST", "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "35.70528600", "128.45710200", "edu", "", "South Korea", "2017"], ["Predicting the Location of \"interactees\" in Novel Human-Object Interactions", "", "University of Texas at Austin", "University of Texas at Austin", "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "30.28415100", "-97.73195598", "edu", "", "United States", "2014"], ["Edge Fields for Robust Object Proposal", "", "Samsung Electronics", "Samsung Electronics", "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "43.61294840", "-79.55903030", "edu", "", "Canada", "2015"], ["A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation", "Tencent AI Laboratory, Shenzhen, China", "Tencent AI Laboratory, Shenzhen, China", "Tencent AI Laboratory, Shenzhen, China", "10900 NE 8th St, Bellevue, WA 98004, USA", "47.61786030", "-122.19402580", "company", "", "United States", "2018"], ["Nonnegative correlation coding for image classification", "Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China", "Beijing Institute of Technology", "Beijing Institute of Technology University", "\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", "39.95866520", "116.30971281", "edu", "", "China", "2015"], ["Multi-modal gated recurrent units for image description", "University of Chinese Academy of Sciences, Beijing, People\u2019s Republic of China", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2018"], ["How Do We Evaluate the Quality of Computational Editing Systems", "", "University of Wisconsin Madison", "University of Wisconsin Madison", "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "43.07982815", "-89.43066425", "edu", "", "United States", "2014"], ["Divide and Count: Generic Object Counting by Image Divisions", "University of Amsterdam, Amsterdam, The Netherlands", "University of Amsterdam", "University of Amsterdam", "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "52.35536550", "4.95016440", "edu", "", "Netherlands", "2018"], ["Feature Agglomeration Networks for Single Stage Face Detection", "", "Zhejiang University", "Zhejiang University", "\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", "30.19331415", "120.11930822", "edu", "", "China", "2017"], ["Sparse coding based airport detection from medium resolution Landsat-7 satellite remote sensing images", "School of Automation, Northwestern Polytechnical University, Xi'an, 710072, China", "Northwestern Polytechnical University", "Northwestern Polytechnical University", "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "34.24691520", "108.91061982", "edu", "", "China", "2014"], ["Semantic mapping of road scenes", "", "Oxford Brookes University", "Oxford Brookes University", "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "51.75552050", "-1.22615970", "edu", "", "United Kingdom", "2014"], ["Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "39.96014880", "116.35193921", "edu", "", "China", "2018"], ["CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool", "Departament de Ci\u00e8ncies de la Coputaci\u00f3, Computer Vision Center, Universitat Aut\u00f2noma de Barcelona, Catalonia, Spain", "Universitat Aut\u00f2noma de Barcelona", "Universitat Aut\u00f2noma de Barcelona", "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "41.50078110", "2.11143663", "edu", "", "Spain", "2014"], ["Beyond Bounding Boxes: Precise Localization of Objects in Images", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2015"], ["Self-Paced Cross-Modal Subspace Matching", "Microsoft Research, Beijing, China", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2016"], ["Are all training examples equally valuable?", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2013"], ["Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks", "Institute of Signal Processing and System Theory, University of Stuttgart, Germany", "University of Stuttgart", "University of Stuttgart", "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "48.90953380", "9.18318920", "edu", "", "Germany", "2018"], ["Real-Time Object Tracking Via Online Discriminative Feature Selection", "Department of Electrical Engineering and Computer Science, University of California, Merced, CA, USA", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2013"], ["Camera based target recognition for maritime awareness", "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "Piazza Monte Grappa, 4, 00195 Roma RM, Italy", "41.91852800", "12.46855900", "company", "", "Italy", "2012"], ["Shape-based Image Correspondence", "", "Brown University", "Brown University", "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "41.82686820", "-71.40123146", "edu", "", "United States", "2016"], ["Robotic arm control by fine-tuned convolutional neural network model", "Mekatronik Mühendisliği, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, Türkiye", "Istanbul Teknik Universitesi", "Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye", "\u0130n\u00f6n\u00fc Caddesi, No. 65, G\u00fcm\u00fc\u015fsuyu, 34437 Beyo\u011flu/\u0130stanbul, Turkey", "41.03790740", "28.99212370", "edu", "", "Turkey", "2017"], ["Adaptive spatio-temporal context learning for visual target tracking", "Video Processing Laboratory, Department of Electrical Engineering, Yazd University, Yazd, Iran", "Sharif University of Technology", "Sharif University of Technology", "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, 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"\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", "31.84691800", "117.29053367", "edu", "", "China", "2018"], ["Efficient Object Localization and Segmentation in Weakly Labeled Videos", "", "University of Manitoba", "University of Manitoba", "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "49.80915360", "-97.13304179", "edu", "", "Canada", "2014"], ["End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "", "Huazhong University of Science and Technology", "Huazhong University of Science and Technology", "\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", "30.50975370", "114.40628810", "edu", "", "China", "2018"], ["Dissimilarity Coefficient based Weakly Supervised Object Detection", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", "", "United Kingdom", "2018"], ["Locality constrained low-rank sparse learning for object tracking", "State Key Laboratory of Robotics, Shenyang Institute Automation, Chinese Academy of Sciences, Shenyang, 110016, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2015"], ["The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics", "Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland", "University of Applied Sciences Western Switzerland", "Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland", "Fili\u00e8re Economie d'entreprise, Case postale 80, Rue de la Plaine 2, 3960 Sierre, Switzerland", "46.29278120", "7.53618900", "edu", "", "Switzerland", "2015"], ["MBLLEN: Low-Light Image/Video Enhancement Using CNNs", "", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", "2018"], ["Deep learning on small datasets using online image search", "Brno University of Technology", "Brno University of Technology", "Brno University of Technology", "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "49.20172000", "16.60331680", "edu", "", "Czech Republic", "2016"], ["Local structured representation for generic object detection", "Research Center for Brain-inspired Intelligence, Chinese Academy of Sciences, Beijing, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2016"], ["SPNet: Superpixel Pyramid Network for Scene Parsing", "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "Beijing University of Technologyy", "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "Chaoyang, China, 100124", "39.87161100", "116.47952900", "edu", "", "China", "2018"], ["A multi-scale cascade fully convolutional network face detector", "", "University of Southern California", "University of Southern California", "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "34.02241490", "-118.28634407", "edu", "", "United States", "2016"], ["Learning Single-view 3D Reconstruction of Objects and Scenes", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2018"], ["Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", "", "United Kingdom", "2015"], ["High-Order Distance-Based Multiview Stochastic Learning in Image Classification", "School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China", "Hangzhou Dianzi University", "Hangzhou Dianzi University", "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "30.31255250", "120.34309460", "edu", "", "China", "2014"], ["Fine-Grained and Layered Object Recognition", "", "Kyoto University", "Kyoto University", "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "35.02749960", "135.78154513", "edu", "", "Japan", "2012"], ["Deep Visual-Semantic Alignments for Generating Image Descriptions", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2015"], ["Efficient object detection and segmentation with a cascaded Hough Forest ISM", "UMIC Research Centre, RWTH Aachen University, Germany", "RWTH Aachen University", "RWTH Aachen University", "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "50.77917030", "6.06728733", "edu", "", "Germany", "2011"], ["A comparison of late fusion methods for object detection", "Humboldt-Universität zu Berlin, Department of Computer Science, Unter den Linden 6, 10099 Berlin, Germany", "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "Sandtorstra\u00dfe 22, 39106 Magdeburg, Germany", "52.13925980", "11.65195280", "company", "", "Germany", "2013"], ["Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2018"], ["Understanding and Controlling User Linkability in Decentralized Learning", "", "Max Planck Institute for Informatics", "Max Planck Institute for Informatics", "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "49.25795660", "7.04577417", "edu", "", "Germany", "2018"], ["Robust object tracking via weight-based local sparse appearance model", "Department of Communication and Electronic Engineering, Hunan City University, Yiyang, China", "Hunan University", "Hunan University", "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "26.88111275", "112.62850666", "edu", "", "China", "2016"], ["Understanding CNN via deep features analysis", "University of Southern California, USA", "University of Southern California", "University of Southern California", "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "34.02241490", "-118.28634407", "edu", "", "United States", "2017"], ["Biologically Inspired Media Quality Modeling", "Zhejiang University, Hangzhou, China", "Zhejiang University", "Zhejiang University", "\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", "30.19331415", "120.11930822", "edu", "", "China", "2015"], ["Part Discovery from Partial Correspondence", "", "Toyota Technological Institute at Chicago", "Toyota Technological Institute at Chicago", "6045 S Kenwood Ave, Chicago, IL 60637, USA", "41.78469820", "-87.59258480", "company", "", "United States", "2013"], ["Scalable multi-class object detection", "ETH Zurich, Switzerland", "ETH Z\u00fcrich", "ETH Z\u00fcrich", "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "47.37645340", "8.54770931", "edu", "", "Switzerland", "2011"], ["Learning Joint Multimodal Representation with Adversarial Attention Networks", "Beihang University, Beijing, China", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2018"], ["Build a Robust Learning Feature Descriptor by Using a New Image Visualization Method for Indoor Scenario Recognition", "", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "39.96014880", "116.35193921", "edu", "", "China", "2017"], ["Zero-Shot Object Detection", "", "NEC Labs America", "NEC Labs America", "4 Independence Way #200, Princeton, NJ 08540, USA", "40.35981820", "-74.59502250", "company", "", "United States", "2018"], ["Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation", "", "DGIST", "DGIST", "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "35.70528600", "128.45710200", "edu", "", "South Korea", "2018"], ["We Don\u2019t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2016"], ["Deep Attributes from Context-Aware Regional Neural Codes", "", "Columbia University", "Columbia University", "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "40.84198360", "-73.94368971", "edu", "", "United States", "2015"], ["Structured Prediction for Object Detection in Deep Neural Networks", "Institut f\u00fcr Informatik VI, Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Bonn, Germany", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Bonn, Germany", "Institut f\u00fcr Informatik VI, Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Bonn, Germany", "Endenicher Allee 19 C, 53115 Bonn, Germany", "50.72709660", "7.08321250", "edu", "", "Germany", "2014"], ["Image categorization using a semantic hierarchy model with sparse set of salient regions", "The Second Hospital of Nanjing, Nanjing, China", "Soochow University", "Soochow University", "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "31.30709510", "120.63573987", "edu", "", "China", "2013"], ["Mouse Behavior Recognition with The Wisdom of", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2013"], ["Tree-Structured Reinforcement Learning for Sequential Object Localization", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2016"], ["Deep Learning Logo Detection with Data Expansion by Synthesising Context", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2017"], ["High-speed railway catenary components detection using the cascaded convolutional neural networks", "School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China", "Southwest Jiaotong University", "Southwest Jiaotong University", "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "30.69784700", "104.05208110", "edu", "", "China", "2017"], ["Object Classification and Detection in High Dimensional Feature Space", "", "EPFL", "EPFL", "Route Cantonale, 1015 Lausanne, Switzerland", "46.51905570", "6.56675760", "edu", "", "Switzerland", "2013"], ["DAVE: A Unified Framework for Fast Vehicle Detection and Annotation", "", "Northumbria University", "Northumbria University", "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "55.00306320", "-1.57463231", "edu", "", "United Kingdom", "2016"], ["Fine-grained object recognition in underwater visual data", "Universit\u00e9 de Toulon, La Garde, France", "Universit\u00e9 de Toulon, La Garde, France", "Universit\u00e9 de Toulon, La Garde, France", "Avenue de l'Universit\u00e9, 83130 La Garde, France", "43.13765300", "6.01454500", "edu", "", "France", "2015"], ["Augmented Kernel Matrix vs Classifier Fusion for Object Recognition", "", "University of Surrey", "University of Surrey", "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "51.24303255", "-0.59001382", "edu", "", "United Kingdom", "2011"], ["COSTA: Co-Occurrence Statistics for Zero-Shot Classification", "", "University of Amsterdam", "University of Amsterdam", "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "52.35536550", "4.95016440", "edu", "", "Netherlands", "2014"], ["Object Detection and Its Implementation on Android Devices", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2017"], ["ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition", "Universitat de Barcelona, Spain", "Universitat de Barcelona - CVC, Spain", "Universitat de Barcelona - CVC, Spain", "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "41.38660800", "2.16402000", "edu", "", "Spain", "2015"], ["Object proposal using 3D point cloud for DRC-HUBO+", "Robotics and Computer Vision Labortory, Dep. of EE, KAIST, Daejeon, 34141, Korea", "KAIST", "KAIST", "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "36.37214270", "127.36039000", "edu", "", "South Korea", "2016"], ["Perceptually Inspired Layout-Aware Losses for Image Segmentation", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2014"], ["Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels", "", "Nokia Technologies, Tampere, Finland", "Nokia Technologies, Tampere, Finland", "Tampere, Finland", "61.49775240", "23.76095350", "edu", "", "Finland", "2018"], ["Interactive adaptation of real-time object detectors", "International Computer Science Institute (ICSI), Berkeley, CA, USA", "International Computer Science Institute (ICSI), Berkeley, CA, USA", "International Computer Science Institute (ICSI), Berkeley, CA, USA", "1947 Center St, Berkeley, CA 94704, USA", "37.87015430", "-122.27123120", "edu", "", "United States", "2014"], ["Dependency Modeling for Information Fusion with Applications in Visual Recognition", "", "Hong Kong Baptist University", "Hong Kong Baptist University", "\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", "22.38742010", "114.20822220", "edu", "", "China", "2013"], ["BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition", "", "Brno University of Technology", "Brno University of Technology", "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "49.20172000", "16.60331680", "edu", "", "Czech Republic", "2016"], ["Boosted multi-class object detection with parallel hardware implementation for real-time applications", "Institute of Communications Engineering, National Tsing Hua University, Taiwan, R.O.C", "National Tsing Hua University", "National Tsing Hua University", "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "24.79254840", "120.99511830", "edu", "", "Taiwan", "2014"], ["ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2017"], ["Fast , Deep Detection and Tracking of Birds & Nests", "", "University of Delaware", "University of Delaware", "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "39.68103280", "-75.75401840", "edu", "", "United States", "2016"], ["DOC: Deep OCclusion Recovering From A Single Image", "", "University of California, Los Angeles", "University of California, Los Angeles", "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "34.06877880", "-118.44500940", "edu", "", "United States", "2015"], ["Vehicle detection and localization on bird's eye view elevation images using convolutional neural network", "New Industry Creation Hatchery Center, Tohoku University, Sendai, Japan", "Tohoku University", "Tohoku University", "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "38.25309450", "140.87365930", "edu", "", "Japan", "2017"], ["Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems", "", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", "", "United States", "2018"], ["The Devil is in the Decoder", "", "Google", "Google, Inc.", "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "37.42199990", "-122.08405750", "company", "Google, Mountain View, CA", "United States", "2017"], ["Human Pose Estimation for Multiple Frames", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2016"], ["A study of vehicle detector generalization on U.S. highway", "Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, United States", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2016"], ["Hierarchical Scene Annotation", "", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", "", "United States", "2013"], ["Hard to Cheat: A Turing Test based on Answering Questions about Images", "", "Max Planck Institute for Informatics", "Max Planck Institute for Informatics", "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "49.25795660", "7.04577417", "edu", "", "Germany", "2015"], ["Lazy dragging: effortless bounding-box drawing for touch-screen devices", "Student, IEEE", "Student, IEEE", "Student, IEEE", "Lubbock, TX 79409, USA", "33.58689190", "-101.87544120", "edu", "", "United States", "2017"], ["Subcategory-Aware Object Classification", "", "Panasonic Singapore Laboratories", "Panasonic Singapore Laboratories", "Singapore", "1.33648800", "103.89329250", "company", "", "Singapore", "2013"], ["Following Gaze in Video", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2017"], ["Count on Me: Learning to Count on a Single Image", "Department of Computer Science, Vision, Image Processing and Sound Laboratory, University of Verona, Verona, Italy", "University of Verona", "University of Verona", "Via S. Francesco, 22, 37129 Verona VR, Italy", "45.43739800", "11.00337600", "edu", "", "Italy", "2018"], ["Partial face detection for continuous authentication", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2016"], ["Selective Weakly Supervised Human Detection under Arbitrary Poses", "", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "China", "2017"], ["Multi-Scale Context Aggregation by Dilated Convolutions", "", "Intel Labs", "Intel Labs", "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "40.44397890", "-79.94646340", "company", "", "United States", "2015"], ["First International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications", "University of Edinburgh, Edinburgh, UK", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2012"], ["Point-based medialness for 2D shape description and identification", "Deparment of Computing, Goldsmiths, University of London, London, UK", "University of London", "University of London", "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "51.52176680", "-0.13019072", "edu", "", "United Kingdom", "2015"], ["Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval", "School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2018"], ["Convolutional feature masking for joint object and stuff segmentation", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2015"], ["Improving an Object Detector and Extracting Regions Using Superpixels", "", "University of Central Florida", "University of Central Florida", "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "28.59899755", "-81.19712501", "edu", "", "United States", "2013"], ["Recognizing Actions Through Action-Specific Person Detection", "Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland", "Computer Vision Centre Barcelona, Barcelona, Spain", "Computer Vision Centre Barcelona, Barcelona, Spain", "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "41.50089570", "2.11155300", "edu", "", "Spain", "2015"], ["Active Deformable Part Models", "", "University of Pennsylvania", "University of Pennsylvania", "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "39.94923440", "-75.19198985", "edu", "", "United States", "2014"], ["Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "", "GE Global Research Center", "GE Global Research Center", "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "42.82982480", "-73.87719385", "edu", "", "United States", "2017"], ["Detection and localization with multi-scale models", "Computer Vision and Robotics Research Laboratory, University of California San Diego, USA", "University of California, San Diego", "University of California, San Diego", "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "32.87935255", "-117.23110049", "edu", "", "United States", "2016"], ["An Encoder-Decoder Based Convolution Neural Network ( CNN ) for Future Advanced Driver Assistance System ( ADAS )", "", "University of Science and Technology of China", "University of Science and Technology of China", "\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", "31.83907195", "117.26420748", "edu", "", "China", "2017"], ["The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking", "Department of Computer Science and Engineering and Centre for Vision Research, York University, Toronto, Canada", "York University", "York University", "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "43.77439110", "-79.50481085", "edu", "", "Canada", "2014"], ["Performance evaluation of CBIR system based on object detection and evolutionary computation", "M.I.T. College of Engineering Pune, India", "MIT India", "M.I.T. College of Engineering Pune, India", "Survey No. 124, Paud Road, MIT College Campus Ex, Shivtirthanagar, Kothrud, Pune, Maharashtra 411038, India", "18.51937200", "73.81496070", "edu", "", "India", "2014"], ["Label Refinement Network for Coarse-to-Fine Semantic Segmentation.", "", "Indiana University", "Indiana University", "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "39.86948105", "-84.87956905", "edu", "", "United States", "2017"], ["Fast human detection using Node-Combined Part Detector", "Department of Electronic Engineering, Tsinghua University, Beijing 100084, China", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "China", "2011"], ["Learning a loopy model exactly", "Institute of Computer Science VI, Autonomous Intelligent Systems, University of Bonn, Germany", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2014"], ["Image context classification based on visual codebook feature boosting", "Computer Science Department, Technical University of Cluj Napoca", "Technical University of Cluj Napoca", "Technical University of Cluj Napoca", "Strada Memorandumului 28, Cluj-Napoca 400114, Romania", "46.76929900", "23.58561300", "edu", "", "Romania", "2013"], ["Weakly Supervised RBM for Semantic Segmentation", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2015"], ["Two-stream deep encoder-decoder architecture for fully automatic video object segmentation", "Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University", "Shanghai Jiao Tong University", "Shanghai Jiao Tong University", "\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", "31.20081505", "121.42840681", "edu", "", "China", "2017"], ["Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network", "", "New York University", "New York University", "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "40.72925325", "-73.99625394", "edu", "", "United States", "2018"], ["Towards Automated Fish Detection Using Convolutional Neural Networks", "Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA, 02115", "Northeastern University", "Northeastern University", "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "42.33836680", "-71.08793524", "edu", "", "United States", "2018"], ["Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning", "", "Cornell University", "Cornell University", "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "42.45055070", "-76.47835130", "edu", "", "United States", "2018"], ["InverseNet: Solving Inverse Problems with Splitting Networks", "", "Duke University", "Duke University", "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "35.99905220", "-78.92906290", "edu", "", "United States", "2017"], ["Compositional Compression of Deep Image Features Using Stacked Quantizers", "", "University of British Columbia", "University of British Columbia", "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "49.25839375", "-123.24658161", "edu", "", "Canada", "2014"], ["A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images", "State Key Laboratory for Novel Software Technology, Nanjing University, China", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "China", "2018"], ["Data Augmentation for Cnn-Based People Detection in Aerial Images", "Department of Information Engineering and Computer Science, Feng Chia University, Taiwan", "Feng Chia University", "Feng Chia University", "\u9022\u7532\u5927\u5b78, 100, \u6587\u83ef\u8def, \u897f\u5e73\u91cc, \u897f\u5c6f\u5340, \u81fa\u4e2d\u5e02, 40724, \u81fa\u7063", "24.18005755", "120.64836072", "edu", "", "Taiwan", "2018"], ["Sparse Coding for Object Detection with Deformable Part Models", "", "Imperial College London", "Imperial College London", "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "51.49887085", "-0.17560797", "edu", "", "United Kingdom", "2014"], ["Personal driving diary: Automated recognition of driving events from first-person videos", "", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", "", "United States", "2013"], ["Color\u2013depth multi-task learning for object detection in haze", "School of Information Engineering, Nanchang Institute of Technology, Nanchang, China", "HoHai University", "HoHai University", "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "32.05765485", "118.75500040", "edu", "", "China", "2018"], ["3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies", "", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", "United States", "2016"], ["RGB-D Human Detection and Tracking for Industrial Environments", "Southwest Research Institute, San Antonio, USA", "Southwest Research Institute, San Antonio, USA", "Southwest Research Institute, San Antonio, USA", "6220 Culebra Rd, San Antonio, TX 78238, USA", "29.45212560", "-98.61028110", "edu", "", "United States", "2014"], ["Deep Uniqueness-Aware Hashing for Fine-Grained Multi-Label Image Retrieval", "Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2018"], ["Transfer Learning by Borrowing Examples for Multiclass Object Detection", "", "University of Toronto", "University of Toronto", "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "43.66333345", "-79.39769975", "edu", "", "Canada", "2011"], ["Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition", "", "University of Macau", "University of Macau", "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "22.12401870", "113.54510901", "edu", "", "China", "2018"], ["Region Trajectories for Video Semantic Concept Detection", "The Graduate Center, CUNY, New York, NY, USA", "City University of New York", "The City University of New York", "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "40.87228250", "-73.89489171", "edu", "", "United States", "2016"], ["What's in a Question: Using Visual Questions as a Form of Supervision", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2017"], ["Evaluating the WordsEye Text-to-Scene System: Imaginative and Realistic Sentences", "", "Columbia University", "Columbia University", "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "40.84198360", "-73.94368971", "edu", "", "United States", "2018"], ["A new performance measure and evaluation benchmark for road detection algorithms", "Max Planck Institute for Intelligent Systems in T\u00fcbingen, Germany", "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "Carl-Legien-Stra\u00dfe 30, 63073 Offenbach am Main, Germany", "50.08472490", "8.84064370", "company", "", "Germany", "2013"], ["Large scale visual classification with SVM, create the unique article through NLP", "Faculty of Information Technology, University of Moratuwa", "University of Moratuwa", "Faculty of Information Technology, University of Moratuwa", "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "6.79708620", "79.90190940", "edu", "", "Sri Lanka", "2017"], ["Controlling explanatory heatmap resolution and semantics via decomposition depth", "", "Korea University", "Korea University", "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "37.59014110", "127.03623180", "edu", "", "South Korea", "2016"], ["Hierarchical joint-guided networks for semantic image segmentation", "Department of Computer Science and Information Engineering, National Central University, Taiwan", "National Central University", "National Central University", "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "24.96841805", "121.19139696", "edu", "", "Taiwan", "2017"], ["Pedestrian Localization", "Institute of Neural Information Processing, University of Ulm, Germany", "University of Ulm", "University of Ulm, Control and Microtechnology, Ulm, 89081, Germany", "Helmholtzstra\u00dfe 16, 89081 Ulm, Germany", "48.42223050", "9.95558200", "edu", "", "Germany", "2011"], ["DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "", "German Aerospace Center (DLR), Germany", "German Aerospace Center (DLR), Germany", "Linder H\u00f6he, 51147 K\u00f6ln, Germany", "50.85502400", "7.11949760", "edu", "", "Germany", "2018"], ["Learning Localized Perceptual Similarity Metrics for Interactive Categorization", "", "Google", "Google, Inc.", "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "37.42199990", "-122.08405750", "company", "Google, Mountain View, CA", "United States", "2015"], ["Actions and Attributes from Wholes and Parts", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2015"], ["Detecting objects of a category in range data by comparing to a single geometric prototype", "Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany", "German Aerospace Center", "Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany", "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "48.08342380", "11.27563320", "edu", "", "Germany", "2013"], ["Early active learning via robust representation and structured sparsity", "", "University of Texas at Arlington", "University of Texas at Arlington", "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "32.72836830", "-97.11201835", "edu", "", "United States", "2013"], ["Sliding Shapes for 3D Object Detection in Depth Images", "Princeton University, USA", "Princeton University", "Princeton University", "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "40.34829285", "-74.66308325", "edu", "", "United States", "2014"], ["Fast dynamic video content exploration", "MIT Lincoln Laboratory, 244 Wood St., Lexington, Ma. 02420", "MIT Lincoln Laboratory", "MIT Lincoln Laboratory", "244 Wood St, Lexington, MA 02421, USA", "42.45895890", "-71.26749520", "edu", "", "United States", "2013"], ["Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2016"], ["No Spare Parts: Sharing Part Detectors for Image Categorization", "", "Delft University of Technology", "Delft University of Technology", "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "51.99882735", "4.37396037", "edu", "", "Netherlands", "2016"], ["Benchmarking and Analyzing Deep Neural Network Training", "University of Toronto, Toronto, Canada", "University of Toronto", "University of Toronto", "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "43.66333345", "-79.39769975", "edu", "", "Canada", "2018"], ["HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2019"], ["Deep neural network acceleration framework under hardware uncertainty", "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "La Jolla, CA 92093, USA", "32.88180060", "-117.23352350", "edu", "", "United States", "2018"], ["Unconstrained Face Detection and Open-Set Face Recognition Challenge", "", "University of Colorado, Colorado Springs", "University of Colorado Colorado Springs", "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "38.89207560", "-104.79716389", "edu", "", "United States", "2017"], ["Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks", "", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2017"], ["Improving object detection accuracy with region and regression based deep CNNs", "School of Information Science and Engineering, Ocean University of Chisana, Qingdao, China", "North China Sea Environmental Monitoring Center, State Oceanic Administration", "North China Sea Environmental Monitoring Center, State Oceanic Administration", "China", "35.86166000", "104.19539700", "gov", "", "China", "2017"], ["Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation", "Tsinghua University, Beijing, China", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "China", "2014"], ["Localizing 3D cuboids in single-view images", "", "University of Washington", "University of Washington", "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "47.65432380", "-122.30800894", "edu", "", "United States", "2012"], ["Lazy Dragging: Effortless bounding-box drawing for touch-screen devices", "School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea", "Yonsei University", "Yonsei University", "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "37.56004060", "126.93692480", "edu", "", "South Korea", "2017"], ["Non Maximal Suppression in Cascaded Ranking Models", "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "University of Oulu", "University of Oulu", "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "65.05921570", "25.46632601", "edu", "", "Finland", "2013"], ["RRAM-Based Analog Approximate Computing", "Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "China", "2015"], ["Mix-and-Match Tuning for Self-Supervised Semantic Segmentation", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2018"], ["Piecing together the segmentation jigsaw using context", "University of Maryland College Park, MD, 20740", "University of Maryland College Park", "University of Maryland College Park", "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "38.99203005", "-76.94610290", "edu", "", "United States", "2011"], ["Ontological supervision for fine grained classification of Street View storefronts", "Google, California, United States", "Google, California, United States", "Google, California, United States", "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "37.42199990", "-122.08405750", "edu", "", "", "2015"], ["Conditional Random Fields for multi-camera object detection", "ETHZ, Zurich (Switzerland)", "ETHZ, Zurich (Switzerland)", "ETHZ, Zurich (Switzerland)", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "2011"], ["High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and Its Applications to High-Level Vision", "", "Dartmouth College", "Dartmouth College", "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "43.70479270", "-72.29259090", "edu", "", "United States", "2015"], ["Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "", "North Carolina State University", "North Carolina State University", "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "35.77184965", "-78.67408695", "edu", "", "United States", "2016"], ["Pixel-wise neural cell instance segmentation", "Department of Computer Science, Rutgers University, NJ, USA", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "United States", "2018"], ["50 Years of object recognition: Directions forward", "", "York University", "York University", "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "43.77439110", "-79.50481085", "edu", "", "Canada", "2013"], ["Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2011"], ["Latent Model Ensemble with Auto-localization", "", "University of Missouri", "University of Missouri", "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "38.92676100", "-92.29193783", "edu", "", "United States", "2016"], ["Local Metric Learning for Exemplar-Based Object Detection", "Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Hubei, China", "Huazhong University of Science and Technology", "Huazhong University of Science and Technology", "\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", "30.50975370", "114.40628810", "edu", "", "China", "2014"], ["Discriminative decorrelation for clustering and classification", "", "University of California at Irvine", "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "Irvine, CA 92697, USA", "33.64049520", "-117.84429620", "edu", "", "United States", "2012"], ["A biased sampling strategy for object categorization", "Xi An Jiaotong University, China", "Xi An Jiaotong University", "Xi An Jiaotong University, China", "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "34.25080300", "108.98369300", "edu", "", "China", "2009"], ["Efficient Cross-Domain Image Retrieval by Multi-Level Matching and Spatial Verification for Structural Similarity", "National Taiwan University, Taipei, Taiwan Roc", "National Taiwan University", "National Taiwan University", "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "25.01682835", "121.53846924", "edu", "", "Taiwan", "2014"], ["Can surgical simulation be used to train detection and classification of neural networks?", "", "University College London", "University College London", "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "51.52316070", "-0.12820370", "edu", "", "United Kingdom", "2017"], ["Cross-Modal Retrieval With CNN Visual Features: A New Baseline", "Institute of Information Science, Beijing Jiaotong University, Beijing, China", "Institute of Information Science", "Institute of Information Science", "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "25.04107280", "121.61475620", "edu", "", "Taiwan", "2016"], ["Video Frames Segmentation time Modular Network Clock Fires Executed", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2016"], ["Simultaneously Discovering and Localizing Common Objects in Wild Images", "School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2018"], ["Deep Domain Generalization via Conditional Invariant Adversarial Networks", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "Australia", "2018"], ["Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks", "", "University of Tokyo", "University of Tokyo", "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "35.90204480", "139.93622009", "edu", "", "Japan", "2018"], ["Robust Object Tracking Based on Principal Component Analysis and Local Sparse Representation", "State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Electrical and Information Engineering, Hunan University, Changsha, China", "Hunan University", "Hunan University", "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "26.88111275", "112.62850666", "edu", "", "China", "2015"], ["Labeling Spain With Stanford", "Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, USA", "SUNY Buffalo", "SUNY Buffalo", "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "42.93362780", "-78.88394479", "edu", "", "United States", "2013"], ["Auto-Sorting System Toward Smart Factory Based on Deep Learning for Image Segmentation", "School of Automation Science and Electrical Engineering, Beihang University, Beijing, China", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2018"], ["Automated annotation of coral reef survey images", "Scripps Institution of Oceanography}, University of California, San Diego", "University of California, San Diego", "University of California, San Diego", "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "32.87935255", "-117.23110049", "edu", "", "United States", "2012"], ["Fast Pixelwise Adaptive Visual Tracking of Non-Rigid Objects", "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "Universit\u00e9 de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France", "7 Passage du Vercors, 69007 Lyon, France", "45.72803070", "4.82594290", "edu", "", "France", "2017"], ["Efficient Single-Shot Multibox Detector for Construction Site Monitoring.", "", "Concordia University", "Concordia University", "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "45.57022705", "-122.63709346", "edu", "", "United States", "2018"], ["Scale-adaptive tracking based on perceptual hash and correlation filter", "Fujian Engineering Research Center of Public Service Big Data Mining and Application, Fuzhou, China", "Fujian Engineering Research Center of Public Service Big Data Mining and Application, Fuzhou, China", "Fujian Engineering Research Center of Public Service Big Data Mining and Application, Fuzhou, China", "Fuzhou, Fujian, China", "26.07447800", "119.29648200", "edu", "", "China", "2018"], ["Facade Segmentation in the Wild", "", "Miami University", "Miami University", "1601 University Blvd, Hamilton, OH 45011, USA", "39.37778800", "-84.56301210", "edu", "", "United States", "2018"], ["Superpixel Convolutional Networks using Bilateral Inceptions", "", "Max Planck Institute for Intelligent Systems", "Max Planck Institute for Intelligent Systems", "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "48.74689390", "9.08051410", "edu", "", "Germany", "2016"], ["LSDA: Large Scale Detection Through Adaptation", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2014"], ["A Scalable Pipelined Dataflow Accelerator for Object Region Proposals on FPGA Platform", "", "Duke University", "Duke University", "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "35.99905220", "-78.92906290", "edu", "", "United States", "2018"], ["Object recognition in art drawings: Transfer of a neural network", "History of Art, University of California, Berkeley, U.S.A.", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2016"], ["Painting-91: a large scale database for computational painting categorization", "Norwegian Colour and Visual Computing Laboratory, Gjovik University College, Gj\u00f8vik, Norway", "Gjovik University College", "Norwegian Colour and Visual Computing Laboratory, Gjovik University College, Gj\u00f8vik, Norway", "Gj\u00f8vik, Norway", "60.79543020", "10.69163030", "edu", "", "Norway", "2014"], ["The Reasonable Effectiveness of Synthetic Visual Data", "Toyota Research Institute, Ann Arbor, USA", "Toyota Research Institute", "Toyota Research Institute", "Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA", "37.40253645", "-122.11655107", "edu", "", "United States", "2018"], ["Exploring Person Context and Local Scene Context for Object Detection.", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2015"], ["Weakly Supervised Object Detection via Object-Specific Pixel Gradient", "Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, Shaanxi, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2018"], ["Unsupervised Object Discovery and Segmentation in Videos", "", "Graz University of Technology", "Graz University of Technology", "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "47.05821000", "15.46019568", "edu", "", "Austria", "2013"], ["Saliency-Aware Nonparametric Foreground Annotation Based on Weakly Labeled Data", "State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2016"], ["Learning with dataset bias in latent subcategory models", "Pattern Analysis & Computer Vision, Istituto Italiano di Tecnologia, Italy", "Istituto Italiano di Tecnologia", "Istituto Italiano di Tecnologia", "77 Massachusetts Ave, Cambridge, MA 02139, USA", "42.36009100", "-71.09416000", "edu", "", "United States", "2015"], ["A Sketch-based Approach for Multimedia Retrieval", "", "International Institute of Information Technology", "International Institute of Information Technology", "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "17.44549570", "78.34854698", "edu", "", "India", "2016"], ["Semantic Segmentation , Urban Navigation , and Research Directions", "", "Princeton University", "Princeton University", "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "40.34829285", "-74.66308325", "edu", "", "United States", "2018"], ["Real-time object detection by a multi-feature fully convolutional network", "Beijing University of Posts and Telecommunications, Beijing, China, 100876", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, 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South East, England, GU2 7XH, UK", "51.24303255", "-0.59001382", "edu", "", "United Kingdom", "2009"], ["Accurate object tracking by combining correlation filters and keypoints", "State Key Lab. LIESMARS, Wuhan University, 430079, China", "Wuhan University of Technology", "Wuhan University of Technology", "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "30.60903415", "114.35142840", "edu", "", "China", "2016"], ["Object Tracking via Partial Least Squares Analysis", "Department of Electrical Engineering and Computer Science, University of California, Merced, CA, USA", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2012"], ["Deep class-aware image denoising", "School of Electrical Engineering, Tel-Aviv University, Israel", "Tel Aviv University", "Tel Aviv University", "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, \u05db\u05d9\u05db\u05e8 \u05de\u05e0\u05d3\u05dc, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1 - \u05d9\u05e4\u05d5, \u05d0\u05e4\u05e7\u05d4, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1-\u05d9\u05e4\u05d5, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "32.11198890", "34.80459702", "edu", "", "Israel", "2017"], ["Online Camera LiDAR Fusion and Object Detection on Hybrid Data for Autonomous Driving", "BMW Group Technology Office", "BMW Group Technology Office", "BMW Group Technology Office", "2606 Bayshore Pkwy, Mountain View, CA 94043, USA", "37.42588680", "-122.09783550", "edu", "", "", "2018"], ["Hierarchical Image Segmentation Based on Iterative Contraction and Merging", "Electronics Engineering Department, National Chiao Tung University, Hsinchu, Taiwan", "National Chiao Tung University", "National Chiao Tung University", "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "24.78676765", "120.99724412", "edu", "", "Taiwan", "2017"], ["Vicept: link visual features to concepts for large-scale image understanding", "Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences, Beijing, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2010"], ["Object proposal by multi-branch hierarchical segmentation", "Tongji University, China", "Tongji University", "Tongji University", "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "31.28473925", "121.49694909", "edu", "", "China", "2015"], ["StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection", "", "KAIST", "KAIST", "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "36.37214270", "127.36039000", "edu", "", "South Korea", "2018"], ["The hierarchical high-speed neural network image classification algorithm for video surveillance systems", "Research and Development Center \u00abELVEES\u00bb, Zelenograd, Russia", "Research and Development Center \u00abELVEES\u00bb, Zelenograd, Russia", "Research and Development Center \u00abELVEES\u00bb, Zelenograd, Russia", "\u043f\u0440\u043e\u0435\u0437\u0434 4922, \u0434\u043e\u043c 4 \u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435 2, \u0417\u0435\u043b\u0435\u043d\u043e\u0433\u0440\u0430\u0434, gorod Moskva, Russia, 124498", "55.98421800", "37.21807410", "edu", "", "Russia", "2018"], ["Understanding the coverage and scalability of place-centric crowdsensing", "Yonsei University, Seoul, South Korea", "Yonsei University", "Yonsei University", "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "37.56004060", "126.93692480", "edu", "", "South Korea", "2013"], ["Multiple Illumination Estimation with End-to-End Network", "National University of Defense Technology, China", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\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", "28.22902090", "112.99483204", "mil", "", "China", "2018"], ["Object Detection Meets Knowledge Graphs", "", "A*STAR, Singapore", "Institute for Infocomm Research, A*STAR, Singapore", "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "1.29889260", "103.78731070", "edu", "", "Singapore", "2017"], ["Convolutional neural networks for license plate detection in images", "Federal University of Technology - Parana, Brazil", "Federal University of Technology - Parana", "Federal University of Technology - Parana, Brazil", "R. Dep. Heitor Alencar Furtado, 5000 - Campo Comprido, Curitiba - PR, 81280-340, Brazil", "-25.44341230", "-49.35348310", "edu", "", "Brazil", "2017"], ["Towards a theory of computation in the visual cortex", "", "Brown University", "Brown University", "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "41.82686820", "-71.40123146", "edu", "", "United States", "2015"], ["Image Classification via Object-Aware Holistic Superpixel Selection", "School of Information Science and Technology, University of Science and Technology of China, Anhui, China", "University of Science and Technology of China", "University of Science and Technology of China", "\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", "31.83907195", "117.26420748", "edu", "", "China", "2013"], ["Immediate Structured Visual Search for Medical Images", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2011"], ["Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference", "", "Oxford, UK", "Oxford, UK", "Oxford, UK", "51.75202090", "-1.25772630", "edu", "", "", "2012"], ["Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency", "", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", "United States", "2018"], ["Inter-dependent CNNs for joint scene and object recognition", "University of California, Riverside, 92521, United States of America", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2016"], ["Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells.", "", "University of Adelaide", "University of Adelaide", "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "-34.91892260", "138.60423668", "edu", "", "Australia", "2018"], ["Video Annotation and Retrieval Using Ontologies and Rule Learning", "University of Florence, Italy", "University of Florence", "University of Florence", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "Italy", "2010"], ["Segmentation and Estimation of Spatially Varying Illumination", "Research School of Engineering, National ICT Australia, Australian National University, Canberra, ACT, Australia", "Australian National University", "Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "Australia", "2014"], ["Inference Compilation and Universal Probabilistic Programming", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", "", "United Kingdom", "2017"], ["Weaving Multi-scale Context for Single Shot Detector", "", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", "", "Singapore", "2017"], ["Exploiting a depth context model in visual tracking with correlation filter", "National Key Laboratory of Parallel and Distributed Processing, Changsha, China", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\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", "28.22902090", "112.99483204", "mil", "", "China", "2017"], ["GAdaBoost: Accelerating Adaboost Feature Selection with Genetic Algorithms", "", "American University in Cairo", "The American University in Cairo", "\u0627\u0644\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0623\u0645\u0631\u064a\u0643\u064a\u0629 \u0628\u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0634\u0627\u0631\u0639 \u0627\u0644\u0642\u0635\u0631 \u0627\u0644\u0639\u064a\u0646\u0649, \u0627\u0644\u0642\u0627\u0647\u0631\u0629 \u0627\u0644\u0642\u062f\u064a\u0645\u0629, \u062c\u0627\u0631\u062f\u0646 \u0633\u064a\u062a\u064a, \u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0645\u062d\u0627\u0641\u0638\u0629 \u0627\u0644\u0642\u0627\u0647\u0631\u0629, 11582, \u0645\u0635\u0631", "30.04287695", "31.23664139", "edu", "", "Egypt", "2016"], ["Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised Detection in Images.", "", "University of Toronto", "University of Toronto", "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "43.66333345", "-79.39769975", "edu", "", "Canada", "2014"], ["Learning Efficient Object Detection Models with Knowledge Distillation", "", "NEC Labs America", "NEC Labs America", "4 Independence Way #200, Princeton, NJ 08540, USA", "40.35981820", "-74.59502250", "company", "", "United States", "2017"], ["Context Refinement for Object Detection", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "Australia", "2018"], ["Object Proposal via Partial Re-ranking", "", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "United States", "2015"], ["Articulated Human Detection with Flexible Mixtures of Parts", "University of California at Irvine, Irvine", "University of California at Irvine", "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "Irvine, CA 92697, USA", "33.64049520", "-117.84429620", "edu", "", "United States", "2013"], ["Ambient Sound Provides Supervision for Visual Learning", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2016"], ["Multi-scale energy optimization for object proposal generation", "Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan", "National Tsing Hua University", "National Tsing Hua University", "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "24.79254840", "120.99511830", "edu", "", "Taiwan", "2016"], ["An Introduction to Random Forests for Multi-class Object Detection", "", "Katholieke Universiteit Leuven", "Katholieke Universiteit Leuven", "Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, Belgi\u00eb / Belgique / Belgien", "50.88306860", "4.70195030", "edu", "", "Belgium", "2011"], ["Damage Assessment from Social Media Imagery Data During Disasters", "The Pennsylvania State University, University Park, PA, USA", "University Park", "Pennsylvania State University, University Park, 16802, USA", "PENN ST UNIV, PA 16802, USA", "40.80840750", "-77.86388350", "edu", "", "United States", "2017"], ["Graph-Driven Diffusion and Random Walk Schemes for Image Segmentation", "School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece", "National Technical University of Athens", "National Technical University of Athens", 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\u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "China", "2016"], ["Unsupervised object discovery via self-organisation", "", "Aalto University", "Aalto University", "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "60.18558755", "24.82427330", "edu", "", "Finland", "2012"], ["A trajectory-based approach for object detection from video", "USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI), School of Computer Science and Technology, University of Science and Technology of China, Hefei, China, 230027", "University of Science and Technology of China", "University of Science and Technology of China", "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, 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"Singapore", "2018"], ["Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade", "", "Shenzhen Institutes of Advanced Technology", "Shenzhen Institutes of Advanced Technology", "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "22.59805605", "113.98533784", "edu", "", "China", "2017"], ["Automated Detection of Threat Objects Using Adapted Implicit Shape Model", "DCC, Pontificia Universidad Cat\u00f3lica de Chile, Santiago, Chile", "DCC, Pontificia Universidad Cat\u00f3lica de Chile, Santiago, Chile", "DCC, Pontificia Universidad Cat\u00f3lica de Chile, Santiago, Chile", "Vicu\u00f1a Mackenna 4860, Macul, Regi\u00f3n Metropolitana, Chile", "-33.49924050", "-70.61513600", "edu", "", "Chile", "2016"], ["Towards Scalable Dataset Construction: An Active Learning Approach", "", "Princeton University", "Princeton University", "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "40.34829285", "-74.66308325", "edu", "", "United States", "2008"], ["Visual saliency computation for image analysis", "", "Boston University", "Boston University", "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "42.35042530", "-71.10056114", "edu", "", "United States", "2016"], ["Figure-Ground Segmentation - Object-Based", "UMIC Research Centre, RWTH Aachen University, Aachen, Germany", "RWTH Aachen University", "RWTH Aachen University", "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "50.77917030", "6.06728733", "edu", "", "Germany", "2011"], ["KidPen: a stroke-based method for kid-style sketches synthesis from photos", "National Taiwan University", "National Taiwan University", "National Taiwan University", "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "25.01682835", "121.53846924", "edu", "", "Taiwan", "2017"], ["Real-Time and Robust Visual Tracking", "", "Hong Kong Polytechnic University", "Hong Kong Polytechnic University", "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "22.30457200", "114.17976285", "edu", "", "China", "2013"], ["TextMountain: Accurate Scene Text Detection via Instance Segmentation", "", "University of Science and Technology of China", "University of Science and Technology of China", "\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, 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"", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", "United States", "2015"], ["ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2016"], ["Efficient Metric Learning for Real-World Face Recognition", "", "Graz University of Technology", "Graz University of Technology", "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "47.05821000", "15.46019568", "edu", "", "Austria", "2013"], ["Content-Based Photo Quality Assessment", "Department of Information Engineering, Chinese University of Hong Kong, Hong Kong", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2011"], ["Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor", "", "University of Missouri", "University of Missouri", "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "38.92676100", "-92.29193783", "edu", "", "United States", "2012"], ["High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2017"], ["Dog breed classification via landmarks", "Video/Image Modeling and Synthesis Laboratory, Department of Computer and Information Sciences, University of Delaware, Newark, DE", "University of Delaware", "University of Delaware", "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "39.68103280", "-75.75401840", "edu", "", "United States", "2014"], ["How do humans sketch objects?", "TU Berlin", "TU Berlin", "TU Berlin", "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "52.51806410", "13.32504250", "edu", "Franklinstr. 28/29, 10587, Germany", "Germany", "2012"], ["Generating objects going well with the surroundings", "", "Seoul National University", "Seoul National University", "\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", "37.26728000", "126.98411510", "edu", "", "South Korea", "2018"], ["Fast Object Detection Using Multistage Particle Window Deformable Part Model", "", "National Chung Cheng University", "National Chung Cheng University", "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, 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Video Object Detection Baseline", "", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2018"], ["Active Mask Hierarchies for Object Detection", "", "University of California, Los Angeles", "University of California, Los Angeles", "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "34.06877880", "-118.44500940", "edu", "", "United States", "2010"], ["Context modeling in computer vision: techniques, implications, and applications", "Florida Atlantic University, Boca Raton, USA", "Florida Atlantic University", "Florida Atlantic University, Boca Raton, USA", "777 Glades Rd, Boca Raton, FL 33434, USA", "26.37502340", "-80.10087510", "edu", "", "United States", "2010"], ["Multi-scale object detection by clustering lines", "Computer Science Division, EECS, University of California at Berkeley, USA", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2009"], ["Unsupervised Visual Representation Learning by Context Prediction", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2015"], ["Viewpoint-aware object detection and continuous pose estimation", "", "Toyota Technological Institute at Chicago", "Toyota Technological Institute at Chicago", "6045 S Kenwood Ave, Chicago, IL 60637, USA", "41.78469820", "-87.59258480", "company", "", "United States", "2012"], ["Progressively Diffused Networks for Semantic Image Segmentation", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2017"], ["Fusing visual and range imaging for object class recognition", "The center for neural computation, Hebrew university of Jerusalem, Israel 91904", "General Motors Advanced Technical Center, Herzliya, Israel", "General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel", "46733, HaMada St 7, Herzliya, Israel", "32.16659230", "34.81274680", "company", "", "Israel", "2011"], ["Discovering Object Classes from Activities", "", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2014"], ["Object detection at multiple scales improves accuracy", "Massachusetts Institute of Technology, Cambridge, USA", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2008"], ["Depression Estimation Using Audiovisual Features and Fisher Vector Encoding", "INRIA Grenoble Rhone-Alpes, Grenoble, France", "INRIA", "INRIA Grenoble Rhone-Alpes, Grenoble, France", "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "45.21788600", "5.80736900", "edu", "", "France", "2014"], ["Learning Discriminative Hidden Structural Parts for Visual Tracking", "", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2014"], ["Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking", "", "Kingston University", "Kingston University", "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "51.42930860", "-0.26840440", "edu", "", "United Kingdom", "2014"], ["Reconfigurable Processor for Deep Learning in Autonomous Vehicles", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2017"], ["DAFE-FD: Density Aware Feature Enrichment for Face Detection", "", "Johns Hopkins University", "Johns Hopkins University", "Baltimore, MD 21218, USA", "39.32990130", "-76.62051770", "edu", "", "", "2019"], ["Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment", "", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", "United States", "2017"], ["AttentionNet: Aggregating Weak Directions for Accurate Object Detection", "", "KAIST", "KAIST", "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "36.37214270", "127.36039000", "edu", "", "South Korea", "2015"], ["GRANet: Global Refinement Atrous Convolutional Neural Network for Semantic Scene Segmentation", "State Key Laboratory of Virtual Reality Technology and Systems, Beihang University", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2018"], ["A Research and Strategy of Objection Detection on Remote Sensing Image", "Institute of software, Chinese Academy of Sciences, Science and Technology on Integrated Information System Laboratory, Beijing, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2018"], ["Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video", "", "University of East Anglia", "University of East Anglia", "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "52.62215710", "1.24091360", "edu", "", "United Kingdom", "2015"], ["A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback", "", "National Central University", "National Central University", "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "24.96841805", "121.19139696", "edu", "", "Taiwan", "2015"], ["Extreme Clicking for Efficient Object Annotation", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2017"], ["FigureSeer: Parsing Result-Figures in Research Papers", "", "University of Washington", "University of Washington", "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "47.65432380", "-122.30800894", "edu", "", "United States", "2016"], ["Fully Convolutional Networks for Semantic Segmentation", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2015"], ["Path Aggregation Network for Instance Segmentation", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2018"], ["An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues", "Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, Tianjin, China", "Tianjin University", "Tianjin University", "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "36.20304395", "117.05842113", "edu", "", "China", "2015"], ["Weakly Supervised Semantic Segmentation Using Web-Crawled Videos", "", "DGIST", "DGIST", "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "35.70528600", "128.45710200", "edu", "", "South Korea", "2017"], ["Image Captioning with an Intermediate Attributes Layer", "", "University of Adelaide", "University of Adelaide", "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "-34.91892260", "138.60423668", "edu", "", "Australia", "2015"], ["Quantifying and Transferring Contextual Information in Object Detection", "Sun Yat-sen University, China", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2012"], ["Source ( synthetic ) Target ( real ) feature dimension 1 feature dim ension", "", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2017"], ["Data Decomposition and Spatial Mixture Modeling for Part Based Model", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2012"], ["Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification", "", "Dartmouth College", "Dartmouth College", "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "43.70479270", "-72.29259090", "edu", "", "United States", "2016"], ["Visual Turing test for computer vision systems.", "", "Johns Hopkins University", "Johns Hopkins University", "Baltimore, MD 21218, USA", "39.32990130", "-76.62051770", "edu", "", "", "2015"], ["Pedestrian Detection: An Evaluation of the State of the Art", "MPI Informatics, Saabrucken", "MPI Informatics, Saabrucken", "MPI Informatics, Saabrucken", "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "49.25786570", "7.04579560", "edu", "", "Germany", "2012"], ["Improving Fully Convolution Network for Semantic Segmentation", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2016"], ["Dictionary learning for a sparse appearance model in visual tracking", "Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France", "Institut Mines-Telecom / Telecom Lille", "Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France", "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "50.60971560", "3.13728330", "edu", "", "France", "2015"], ["Automatic Dataset Augmentation", "", "Harbin Institute of Technology", "Harbin Institute of Technology", "\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", "45.74139210", "126.62552755", "edu", "", "China", "2017"], ["Objectness estimation using edges", "Institute of Automation, Chinese Academy of Sciences", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2015"], ["Deep TEN: Texture Encoding Network", "", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "United States", "2017"], ["Orientation robust object detection in aerial images using deep convolutional neural network", "School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2015"], ["Histograms of locally aggregated oriented gradients", "School of Computer Science and Technology, Harbin Institute of Technology, China", "Harbin Institute of Technology", "Harbin Institute of Technology", "\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", "45.74139210", "126.62552755", "edu", "", "China", "2015"], ["Advances in Multimedia Information Processing \u2013 PCM 2018", "University of Tokyo, Tokyo, Japan", "University of Tokyo", "University of Tokyo", "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "35.90204480", "139.93622009", "edu", "", "Japan", "2018"], ["Fast and accurate object detection in high resolution 4K and 8K video using GPUs", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2018"], ["Efficient object detection via structured learning and local classifiers", "", "Oxford Brookes University", "Oxford Brookes University", "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "51.75552050", "-1.22615970", "edu", "", "United Kingdom", "2013"], ["Water region detection supporting ship identification in port surveillance", "Video Coding and Architectures Research Group, Electrical Engineering Faculty, Eindhoven University of Technology, Eindhoven, The Netherlands", "TU Eindhoven", "TU Eindhoven", "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "51.44866020", "5.49039957", "edu", "", "Netherlands", "2012"], ["Refining Bounding-Box Regression for Object Localization", "", "Portland State University", "Portland State University", "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "45.51181205", "-122.68492999", "edu", "", "United States", "2018"], ["Integrated perception with recurrent multi-task neural networks", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", "", "United Kingdom", "2016"], ["Joint Calibration for Semantic Segmentation", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2015"], ["Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions", "", "National University of Ireland Maynooth", "National University of Ireland Maynooth", "National University of Ireland Maynooth, River Apartments, Maynooth, Maynooth ED, Maynooth Municipal District, County Kildare, Leinster, KILDARE, Ireland", "53.38469750", "-6.60039458", "edu", "", "Ireland", "2014"], ["Annotating images with suggestions: user study of a tagging system", "Faculty of Information Technology, VUT \u2014 Brno University of Technology, Brno, Czech Republic", "VUT \u2014 Brno University of Technology", "Faculty of Information Technology, VUT \u2014 Brno University of Technology, Brno, Czech Republic", "Bo\u017eet\u011bchova 1/2, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "49.22661600", "16.59664010", "edu", "", "Czech Republic", "2012"], ["Pattern Recognition and Image Analysis", "University of Alicante, Spain", "University of Alicante", "University of Alicante, Alicante, Spain", "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "38.38524460", "-0.51431610", "edu", "", "Spain", "2013"], ["Towards Open World Recognition", "", "University of Colorado at Colorado Springs", "University of Colorado at Colorado Springs", "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "38.89646790", "-104.80505940", "edu", "", "United States", "2015"], ["A Novel Linelet-Based Representation for Line Segment Detection", "Departments of Cognitive Science and Computer Science, John Hopkins University, Baltimore, MD", "Korea University", "Korea University", "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "37.59014110", "127.03623180", "edu", "", "South Korea", "2018"], ["Fast Image-Based Geometric Change Detection Given a 3D Model", "Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2018"], ["Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation", "", "Harbin Institute of Technology", "Harbin Institute of Technology", "\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", "45.74139210", "126.62552755", "edu", "", "China", "2017"], ["An Analysis of Action Recognition Datasets for Language and Vision Tasks", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2017"], ["Spectral GeometricMethods for Deformable 3 D Shape Retrieval", "", "Concordia University", "Concordia University", "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "45.57022705", "-122.63709346", "edu", "", "United States", "2013"], ["Beyond Trade-Off: Accelerate FCN-Based Face Detector with Higher Accuracy", "", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2018"], ["DeRPN: Taking a further step toward more general object detection", "", "South China University of Technology", "South China University of Technology", "\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", "23.05020420", "113.39880323", "edu", "", "China", "2018"], ["Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation", "", "GE Global Research Center", "GE Global Research Center", "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "42.82982480", "-73.87719385", "edu", "", "United States", "2018"], ["Revisiting 3D geometric models for accurate object shape and pose", "Photogrammetry and Remote Sensing Laboratory, ETH Z\u00fcrich, Switzerland", "ETH Z\u00fcrich", "ETH Z\u00fcrich", "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "47.37645340", "8.54770931", "edu", "", "Switzerland", "2011"], ["Segmentation Free Object Discovery in Video", "", "University of Florence", "University of Florence", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "Italy", "2016"], ["Hierarchical Parsing Net: Semantic Scene Parsing From Global Scene to Objects", "School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China", "University of Electronic Science and Technology of China", "University of Electronic Science and Technology of China", "Columbus, OH 43210, USA", "40.01419050", "-83.03091430", "edu", "", "United States", "2018"], ["Visual grasp affordances from appearance-based cues", "UC Berkeley, USA", "UC Berkeley, USA", "UC Berkeley, USA", "Berkeley, CA, USA", "37.87159260", "-122.27274700", "edu", "", "United States", "2011"], ["Dense and Sparse Labeling With Multidimensional Features for Saliency Detection", "Biomedical and Multimedia Information Technology Research Group, The University of Sydney, Darlington, NSW, Australia", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "Australia", "2018"], ["Coupled-layer based visual tracking via adaptive kernelized correlation filters", "School of Electro-Mechanical Engineering, Xidian University, Xi\u2019an, China", "Xidian University", "Xidian University", "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", "34.12358250", "108.83546000", "edu", "", "China", "2016"], ["Multi-sensors people detection system for heavy machines", "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "49.41522420", "2.81911440", "edu", "", "France", "2014"], ["Semantic segmentation priors for object discovery", "Institute of Computer Science VI, University of Bonn, Germany", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2016"], ["Crowd Saliency Detection via Global Similarity Structure", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2014"], ["Robust Visual Tracking Using Exemplar-Based Detectors", "National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China", "Huazhong University of Science and Technology", "Huazhong University of Science and Technology", "\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", "30.50975370", "114.40628810", "edu", "", "China", "2017"], ["An Empirical Evaluation of Current Convolutional Architectures\u2019 Ability to Manage Nuisance Location and Scale Variability", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2016"], ["Three Dimensional Representation and Reasoning for Indoor Scene Understanding", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2013"], ["Dynamic Feature Matching for Partial Face Recognition", "People\u2019s Public Security University of China, Beijing, China", "People\u2019s Public Security University of China", "People\u2019s Public Security University of China, Beijing, China", "Changping, Beijing, China, 102202", "40.12794800", "116.27810200", "edu", "", "China", "2018"], ["Local Image Descriptor: Modern Approaches", "School of EEE, Nanyang Technological University, Singapore, Singapore", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2015"], ["When VLAD Met Hilbert", "", "NICTA and Australian National University", "NICTA and Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "Australia", "2016"], ["Adapting RANSAC SVM to Detect Outliers for Robust Classification", "", "Indian Institute of Technology Kanpur", "Indian Institute of Technology Kanpur", "Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India", "26.51318800", "80.23651945", "edu", "", "India", "2015"], ["Can Diversity amongst Learners Improve Online Object Tracking", "Department of Informatics, University of Oslo, Norway", "University of Oslo", "University of Oslo", "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "59.93891665", "10.72170765", "edu", "", "Norway", "2013"], ["People detection in heavy machines applications", "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "49.41522420", "2.81911440", "edu", "", "France", "2013"], ["DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks", "", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\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", "28.22902090", "112.99483204", "mil", "", "China", "2018"], ["Gibson Env: Real-World Perception for Embodied Agents", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2018"], ["Object localization in ImageNet by looking out of the window", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2015"], ["Real-time visual tracking using compressive sensing", "NICTA, Canberra Research Laboratory, ACT, Australia", "NICTA", "NICTA", "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "42.00877410", "-87.89585490", "edu", "", "United States", "2011"], ["Multiple Instance Curriculum Learning for Weakly Supervised Object Detection", "", "Google", "Google, Inc.", "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "37.42199990", "-122.08405750", "company", "Google, Mountain View, CA", "United States", "2017"], ["Exploiting language models to recognize unseen actions", "University of Trento, Trento, Italy", "University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", "", "Italy", "2013"], ["Pose Induction for Novel Object Categories", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2015"], ["Predicting Failures of Vision Systems", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2014"], ["Adaptive visual tracking with reacquisition ability for arbitrary objects", "Ningbo Institute of Technology, Zhejiang University, China", "Zhejiang University", "Zhejiang University", "\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", "30.19331415", "120.11930822", "edu", "", "China", "2013"], ["Multi-pose face detection for accurate face logging", "Media Integration and Communication Center - University of Florence", "University of Florence", "University of Florence", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "Italy", "2012"], ["Multi-view object instance recognition in an industrial context", "", "University of Surrey", "University of Surrey", "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "51.24303255", "-0.59001382", "edu", "", "United Kingdom", "2017"], ["Exploring the Potential of Using Semantic Context and Common Sense in On-Road Vehicle Detection", "Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi, P.R., 710049, China", "Xi\u2019an Jiaotong University", "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "34.25080300", "108.98369300", "edu", "", "China", "2018"], ["Is my new tracker really better than yours?", "Faculty of Computer and Information Science, University of Ljubljana, Tr\u0159a\u0161ka 25, Slovenia", "University of Ljubljana", "University of Ljubljana", "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "46.05015580", "14.46907327", "edu", "", "Slovenia", "2014"], ["Markov Chain Monte Carlo for Automated Face Image Analysis", "Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland", "University of Basel", "University of Basel", "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "47.56126510", "7.57529610", "edu", "", "Switzerland", "2016"], ["Partial Occlusion Handling in Pedestrian Detection With a Deep Model", "Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2016"], ["Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network", "", "University of Michigan", "University of Michigan", "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "42.29421420", "-83.71003894", "edu", "", "United States", "2016"], ["Outlining Objects for Interactive Segmentation on Touch Devices", "University of Toulouse, Toulouse, France", "University of Toulouse", "University of Toulouse", "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "30.17818160", "-93.23605810", "edu", "", "United States", "2017"], ["Online multiple objects tracking with detection reliability prior constraint", "School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China", "Guangdong University of Technology", "Guangdong University of Technology", "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "23.13538360", "113.29470496", "edu", "", "China", "2017"], ["Learning to detect, localize and recognize many text objects in document images from few examples", "Teklia SAS, Paris, France", "LIRIS, INSA-Lyon, Villeurbanne, France", "LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France", "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "45.78332440", "4.87819840", "edu", "", "France", "2018"], ["Attacking Object Detectors via Imperceptible Patches on Background", "", "GE Global Research Center", "GE Global Research Center", "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "42.82982480", "-73.87719385", "edu", "", "United States", "2018"], ["Objects as Context for Detecting Their Semantic Parts", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2018"], ["Mind Your Language: Abuse and Offense Detection for Code-Switched Languages", "", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", "2018"], ["Progressive Recurrent Learning for Visual Recognition", "", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "China", "2018"], ["Hinge-Minimax Learner for the Ensemble of Hyperplanes", "", "University of Haifa", "University of Haifa", "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, 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University of Technology", "\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", "38.88140235", "121.52281098", "edu", "", "China", "2015"], ["Evaluating ResNeXt Model Architecture for Image Classification", "", "University of Waterloo", "University of Waterloo", "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "43.47061295", "-80.54724732", "edu", "", "Canada", "2018"], ["Weakly Supervised Semantic Segmentation Based on Co-segmentation", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2017"], ["Cross-Modal Learning to Rank with Adaptive Listwise Constraint", "School of Information Technology in Education, South China Normal University", "South China Normal University", "South China Normal University", "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "23.14319700", "113.34009651", "edu", "", "China", "2018"], ["Deconstructing the Deformable Parts Model : Do More with Less", "", "University of Massachusetts", "University of Massachusetts", "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "42.38897850", "-72.52869870", "edu", "", "United States", "2014"], ["Realtime multi-aircraft tracking in aerial scene with deep orientation network", "School of Automation Science and Electrical Engineer, Beihang University, Beijing, China", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2018"], ["Human-like Clustering with Deep Convolutional Neural Networks", "", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", "", "United States", "2017"], ["Feature Selective Networks for Object Detection", "", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2018"], ["Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation", "National Laboratory of Pattern Recognition, Institute of Automations, Chinese Academy of Sciences, Beijing, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2016"], ["A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels.", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2019"], ["Codemaps - Segment, Classify and Search Objects Locally", "", "University of Amsterdam", "University of Amsterdam", "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "52.35536550", "4.95016440", "edu", "", "Netherlands", "2013"], ["Combining deep reinforcement learning with prior knowledge and reasoning", "National Institute of Informatics, Tokyo, Japan", "National Institute of Informatics, Japan", "National Institute of Informatics, Japan", "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "35.69248530", "139.75825330", "edu", "", "Japan", "2018"], ["Incremental Domain Adaptation of Deformable Part-based Models", "", "Universitat Aut\u00f2noma de Barcelona", "Universitat Aut\u00f2noma de Barcelona", "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "41.50078110", "2.11143663", "edu", "", "Spain", "2014"], ["Traffic congestion judgment based on linear spatial pyramid matching using sparse coding", "School of Electrical and Computer Engineering, University of Electronic Science and Technology of China, Chengdu, China", "University of Electronic Science and Technology of China", "University of Electronic Science and Technology of China", "Columbus, OH 43210, USA", "40.01419050", "-83.03091430", "edu", "", "United States", "2014"], ["Learning coarse-to-fine sparselets for efficient object detection and scene classification", "", "Northwestern Polytechnical University", "Northwestern Polytechnical University", "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "34.24691520", "108.91061982", "edu", "", "China", "2015"], ["Has my algorithm succeeded? an evaluator for human pose estimators", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2012"], ["OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie", "Idiap Research Institute, 1920 Martigny, Switzerland", "IDIAP Research Institute", "IDIAP Research Institute", "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "46.10923700", "7.08453549", "edu", "", "Switzerland", "2010"], ["Automatic discovery of meaningful object parts with latent CRFs", "Department of Computer Science, TU Darmstadt", "TU Darmstadt", "TU Darmstadt", "Karolinenpl. 5, 64289 Darmstadt, Germany", "49.87482770", "8.65632810", "edu", "", "Germany", "2010"], ["Computational Baby Learning.", "", "Beijing Jiaotong University", "Beijing Jiaotong University", "\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", "39.94976005", "116.33629046", "edu", "", "China", "2014"], ["Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors", "", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\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", "28.22902090", "112.99483204", "mil", "", "China", "2018"], ["Visual Object Recognition", "", "RWTH Aachen University", "RWTH Aachen University", "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "50.77917030", "6.06728733", "edu", "", "Germany", "2011"], ["Object detection based on ensemble of exemplars", "Key Laboratory of System Control and Information Processing, Ministry of Education, Department of Automation, Shanghai Jiao Tong University, China", "Shanghai Jiao Tong University", "Shanghai Jiao Tong University", "\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", "31.20081505", "121.42840681", "edu", "", "China", "2015"], ["Tooth guard: A vision system for detecting missing tooth in rope mine shovel", "Yahoo, Inc.", "Yahoo, Inc.", "Yahoo, Inc.", "1680 N Glenville Dr # 100, Richardson, TX 75081, USA", "32.97000100", "-96.70543110", "company", "", "United States", "2016"], ["Accurate real-time people counting for crowded environments", "", "University of Florence", "University of Florence", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "Italy", "2015"], ["A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "TU Dortmund University", "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "51.49219020", "7.41413620", "edu", "", "Germany", "2018"], ["Object recognition and retrieval by context dependent similarity kernels", "UMR 5141, LTCI, Telecom ParisTech, France", "UMR 5141, LTCI, Telecom ParisTech, France", "UMR 5141, LTCI, Telecom ParisTech, France", "46 Rue Barrault, 75013 Paris, France", "48.82629430", "2.34641880", "edu", "", "France", "2008"], ["Particle dynamics and multi-channel feature dictionaries for robust visual tracking", "", "Rensselaer Polytechnic Institute", "Rensselaer Polytechnic Institute", "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "42.72984590", "-73.67950216", "edu", "", "United States", "2015"], ["Long-Term Tracking by Decision Making", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2017"], ["CSPS: An Adaptive Pooling Method for Image Classification", "School of Electronics Engineering and Computer Science, Peking University, Beijing, China", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "China", "2016"], ["Top-Down Saliency Detection via Contextual Pooling", "Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, People\u2019s Republic of China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2014"], ["Recognizing Products: A Per-exemplar Multi-label Image Classification Approach", "Department of Computer Science, ETH Zurich, Switzerland", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "2014"], ["Supervised sparse representation with coefficients' group constraint", "Beijing University of Posts and Telecommunications, Beijing, China, 100876", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "39.96014880", "116.35193921", "edu", "", "China", "2012"], ["Adaptive estimation of inlier and outlier threshold", "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "35.22537080", "126.84618340", "edu", "", "", "2013"], ["Accurate Vision-based Vehicle Localization using Satellite Imagery", "", "Toyota Technological Institute at Chicago", "Toyota Technological Institute at Chicago", "6045 S Kenwood Ave, Chicago, IL 60637, USA", "41.78469820", "-87.59258480", "company", "", "United States", "2015"], ["Robust Visual Tracking Via Consistent Low-Rank Sparse Learning", "School of Engineering, University of California at Merced, Merced, USA", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2014"], ["An optimized target tracking algorithm of online boosting", "Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072,China", "Northwestern Polytechnical University", "Northwestern Polytechnical University", "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "34.24691520", "108.91061982", "edu", "", "China", "2014"], ["Fine-grained object recognition with Gnostic Fields", "Jet Propulsion Laboratory, California Institute of Technology, USA", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", "", "United States", "2014"], ["Scale-aware multi-level guidance for interactive instance segmentation", "", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", "", "Singapore", "2018"], ["Decentralized Dictionary Learning Over Time-Varying Digraphs Decentralized Dictionary Learning Over Time-Varying Digraphs", "", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", "", "United States", "2018"], ["Understanding object descriptions in robotics by open-vocabulary object retrieval and detection", "", "Friedrich Schiller University of Jena", "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "50.92776710", "11.58217290", "edu", "", "Germany", "2016"], ["Improving public datasets markings' quality using unsupervised refinement kernels", "University Politehnica of Bucharest", "University Politehnica of Bucharest", "University Politehnica of Bucharest", "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "44.43918115", "26.05044565", "edu", "", "Romania", "2018"], ["RTSeg: Real-Time Semantic Segmentation Comparative Study", "", "University of Alberta", "University of Alberta", "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "53.52385720", "-113.52282665", "edu", "", "Canada", "2018"], ["Local Context Priors for Object Proposal Generation", "", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "2012"], ["Rendering Physically Correct Raindrops on Windshields for Robustness Verification of Camera-based Object Recognition", "University of T\u00fcbingen", "University of T\u00fcbingen", "University of T\u00fcbingen", "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "48.52947820", "9.04377400", "edu", "", "", "2018"], ["Inverting and Visualizing Features for Object Detection", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2012"], ["Scale-invariant sampling for supervised image segmentation", "Pattern Recognition Laboratory, Delft University of Technology, Mekelweg 4, 2628 CD Delft, the Netherlands", "Delft University of Technology", "Delft University of Technology", "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "51.99882735", "4.37396037", "edu", "", "Netherlands", "2012"], ["Measuring and increasing the capacity of Natural HOG Statistics", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2017"], ["An active search strategy for efficient object class detection", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2015"], ["Multi-modal gesture recognition challenge 2013: dataset and results", "University of Texas, Texas, USA", "University of Texas", "The University of Texas", "The University of Texas at Tyler, 3900, University Boulevard, Tyler, Smith County, Texas, 75799, USA", "32.31630780", "-95.25369944", "edu", "", "United States", "2013"], ["If You Can't Beat Them, Join Them: Learning with Noisy Data", "Institute for Infocomm Research, Singapore, Singapore", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", "2015"], ["Exploring the geo-dependence of human face appearance", "", "University of Kentucky", "University of Kentucky", "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "38.03337420", "-84.50177580", "edu", "", "United States", "2014"], ["Fine-grained evaluation on face detection in the wild", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2015"], ["Gated Bi-directional CNN for Object Detection", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2016"], ["A Feature Descriptor Based on Local Normalized Difference for Real-World Texture Classification", "School of Control Science and Engineering, Shandong University, Jinan, China", "Shandong University", "Shandong University", "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "36.36934730", "120.67381800", "edu", "", "China", "2018"], ["A Discriminative Latent Model of Object Classes and Attributes", "", "Simon Fraser University", "Simon Fraser University", "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "49.27674540", "-122.91777375", "edu", "", "Canada", "2010"], ["End-to-end training of object class detectors for mean average precision", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", "", "United Kingdom", "2016"], ["A system for real-time detection and tracking of vehicles from a single car-mounted camera", "The Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic", "Czech Technical University", "Czech Technical University", "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "50.07642960", "14.41802312", "edu", "", "Czech Republic", "2012"], ["Generalized Deformable Spatial Pyramid: Geometry-preserving dense correspondence estimation", "Center for Imaging Media Research, Robot & Media Institute, KIST, Seoul, Korea", "KAIST", "KAIST", "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "36.37214270", "127.36039000", "edu", "", "South Korea", "2015"], ["Deep Learning for Object Saliency Detection and Image Segmentation", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2015"], ["Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach", "", "University of Bristol", "University of Bristol", "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "51.45848370", "-2.60977520", "edu", "", "United Kingdom", "2012"], ["Semi- and Weakly- Supervised Semantic Segmentation with Deep Convolutional Neural Networks", "Institute of Automation, Chinese Academy of Sciences, Beijing, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2015"], ["Weakly supervised localization of novel objects using appearance transfer", "", "University of Manitoba", "University of Manitoba", "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "49.80915360", "-97.13304179", "edu", "", "Canada", "2015"], ["Unsupervised domain adaptation of deep object detectors", "", "Indian Institute of Technology Delhi", "IIIT-Delhi, India", "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "28.54632595", "77.27325504", "edu", "", "India", "2018"], ["Augmented songbook: an augmented reality educational application for raising music awareness", "L3i Laboratory, Universit\u00e9 de La Rochelle, La Rochelle cedex 1, France", "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "14-16 Rue Voltaire, 94270 Le Kremlin-Bic\u00eatre, France", "48.81552200", "2.36297300", "edu", "", "France", "2017"], ["Assemble New Object Detector With Few Examples", "Microsoft Advanced Technology Center, Beijing, China", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2011"], ["Semantic Segmentation for Real-World Data by Jointly Exploiting Supervised and Transferrable Knowledge", "", "National Tsing Hua University", "National Tsing Hua University", "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "24.79254840", "120.99511830", "edu", "", "Taiwan", "2016"], ["Open Logo Detection Challenge", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2018"], ["A category-level 3-D object dataset: Putting the Kinect to work", "UC Berkeley and Max-Plank-Institute for Informatics, Germany", "UC Berkeley and Max-Plank-Institute for Informatics, Germany", "UC Berkeley and Max-Plank-Institute for Informatics, Germany", "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "49.25786570", "7.04579560", "edu", "", "Chile", "2011"], ["Plug-and-play correlation filters for visual tracking", "Dalian University of Technology", "Dalian University of Technology", "Dalian University of Technology", "\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", "38.88140235", "121.52281098", "edu", "", "China", "2018"], ["Computer Vision and Deep Learning for Automated Surveillance Technology", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2016"], ["Entropy-based Latent Structured Output Prediction-Supplementary materials", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2015"], ["Double Low Rank Matrix Recovery for Saliency Fusion", "School of Technology, Nanjing Audit University, Nanjing, China", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "China", "2016"], ["A model for full local image interpretation", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2015"], ["STARS: A new ensemble partitioning approach", "Computer Aided Medical Procedures, Technische Universität München, Germany", "TU M\u00fcnchen", "Computer Aided Medical Procedures, Technische Universität München, Germany", "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "48.26301100", "11.66685700", "edu", "", "Germany", "2011"], ["Deep-learning-based object-level contour detection with CCG and CRF optimization", "Institute of Computer Science and Technology, Beijing, China", "Institute of Computer Science and Technology, Beijing, China", "Institute of Computer Science and Technology, Beijing, China", "China, Beijing, Haidian, Zhongguancun N St, \u9038\u592b\u82d1", "39.99065830", "116.31493890", "edu", "", "", "2017"], ["Discriminative spatial saliency for image classification", "LEAR, INRIA Grenoble Rh\u00f4ne-Alpes", "LEAR, INRIA Grenoble Rh\u00f4ne-Alpes", "LEAR, INRIA Grenoble Rh\u00f4ne-Alpes", "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "48.66544710", "6.15702390", "edu", "", "", "2012"], ["Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG)", "", "University of Waterloo", "University of Waterloo", "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "43.47061295", "-80.54724732", "edu", "", "Canada", "2016"], ["Designing Convolutional Neural Networks for Urban Scene Understanding", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2017"], ["Using image saliency and regions of interest to encourage stronger graphical passwords", "Institute of Public Administration, Riyadh, Saudi Arabia", "Florida Institute of Technology", "Florida Institute of Technology", "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "28.06468880", "-80.62302200", "edu", "", "United States", "2016"], ["Recognizing Car Fluents from Video", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2016"], ["Detection of Cars in High-Resolution Aerial Images of Complex Urban Environments", "Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.", "Imperial College London", "Imperial College London", "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "51.49887085", "-0.17560797", "edu", "", "United Kingdom", "2017"], ["A two-stage training deep neural network for small pedestrian detection", "Graduate School of Science and Engineering, Teikyo University", "Teikyo University", "Teikyo University", "Japan, \u3012173-8605 Tokyo, \u677f\u6a4b\u533a\u52a0\u8cc0\uff12\u4e01\u76ee\uff11\uff11\u2212\uff11", "35.75927460", "139.71450290", "edu", "", "Japan", "2017"], ["Transform invariant text extraction", "Tsinghua University, Beijing, China", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "China", "2013"], ["Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images", "School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India", "Medical College Kolkata, Kolkata, India", "Medical College Kolkata, Kolkata, India", "88, College St, Calcutta Medical College, College Square, Kolkata, West Bengal 700073, India", "22.57374630", "88.36191530", "edu", "", "India", "2018"], ["SRIKANTHA , GALL : HUMAN POSE AS CONTECT FOR OBJECT DETECTION 3 3 Object Detection", "", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", "", "Germany", "2015"], ["LinedCut: Image segmentation using single line interaction", "The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2014"], ["Reasoning and algorithm selection augmented symbolic segmentation", "", "Nazarbayev University", "Nazarbayev University", "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "51.09028540", "71.39725263", "edu", "", "Kazakhstan", "2017"], ["Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2011"], ["Learning to propose objects", "UC Berkeley, California, United States", "UC Berkeley, California, United States", "UC Berkeley, California, United States", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2015"], ["Context-dependent kernel design for object matching and recognition", "UMR 5141, CNRS, Telecom ParisTech, France", "Telecom ParisTech", "UMR 5141, CNRS, Telecom ParisTech, France", "46 Rue Barrault, 75013 Paris, France", "48.82629430", "2.34641880", "edu", "", "France", "2008"], ["All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles", "", "Cornell University", "Cornell University", "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "42.45055070", "-76.47835130", "edu", "", "United States", "2016"], ["HFS: Hierarchical Feature Selection for Efficient Image Segmentation", "UCSD, San Diego, USA", "University of California, San Diego", "University of California, San Diego", "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "32.87935255", "-117.23110049", "edu", "", "United States", "2016"], ["Shadow removal for pedestrian detection and tracking in indoor environments", "School of Information Science and Engineering, Xiamen University, Xiamen, China", "Xiamen University", "Xiamen University", "\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", "24.43994190", "118.09301781", "edu", "", "China", "2016"], ["Collective Activity Localization with Contextual Spatial Pyramid", "", "University of Tokyo", "University of Tokyo", "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "35.90204480", "139.93622009", "edu", "", "Japan", "2012"], ["Real-time people counting from depth imagery of crowded environments", "University of Florence", "University of Florence", "University of Florence", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "Italy", "2014"], ["LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems", "", "UC San Diego", "UC San Diego", "9500 Gilman Dr, La Jolla, CA 92093, USA", "32.88006040", "-117.23401350", "edu", "", "United States", "2017"], ["Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "UADE, Argentina", "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "Lima 775, C1073 AAO, Buenos Aires, Argentina", "-34.61709410", "-58.38204780", "edu", "", "Argentina", "2014"], ["VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", "", "United Kingdom", "2012"], ["Learning to localize detected objects", "Department of Computer Science, University of Illinois at Urbana-Champaign", "University of Illinois, Urbana-Champaign", "University of Illinois, Urbana-Champaign", "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "40.11116745", "-88.22587665", "edu", "", "United States", "2012"], ["Training Group Orthogonal Neural Networks with Privileged Information", "", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", "", "Singapore", "2017"], ["Learning by focusing: A new framework for concept recognition and feature selection", "IBM T. J. Watson Research Center, USA", "IBM Thomas J. Watson Research Center", "IBM Thomas J. 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