{"id": "1dc35905a1deff8bc74688f2d7e2f48fd2273275", "paper": {"paperId": "1dc35905a1deff8bc74688f2d7e2f48fd2273275", "key": "caltech_pedestrians", "title": "Pedestrian detection: A benchmark", "journal": "2009 IEEE Conference on Computer Vision and Pattern Recognition", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://vision.ucsd.edu/~pdollar/files/papers/DollarCVPR09peds.pdf", "report_link": "papers/1dc35905a1deff8bc74688f2d7e2f48fd2273275.html", "citation_count": 519, "citations_geocoded": 89, "citations_unknown": 430, "citations_empty": 27, "citations_pdf": 286, "citations_doi": 2, "name": "Caltech Pedestrians"}, "address": null, "citations": [["Multispectral pedestrian detection: Benchmark dataset and baseline", "", "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", ""], ["Smart Stadium for Smarter Living: Enriching the Fan Experience", "", "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", ""], ["Pedestrian Detection Image Processing with FPGA", "", "Electrical and Computer Engineering", "Electrical and Computer Engineering", "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "33.58667840", "-101.87539204", "edu", ""], ["POI: Multiple Object Tracking with High Performance Detection and Appearance Feature", "", "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"], ["Unsupervised Hard Example Mining from Videos for Improved Object Detection", "", "University of Massachusetts", "University of Massachusetts", "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "42.38897850", "-72.52869870", "edu", ""], ["WIDER FACE: A Face Detection Benchmark", "The Chinese University of Hong Kong", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", ""], ["Finding the weakest link in person detectors", "", "Microsoft Research Asia", "Microsoft Live Labs Research, China", "Microsoft Research Asia", "35.86166000", "104.19539700", "company", ""], ["A Convex Optimization Framework for Active Learning", "", "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", ""], ["What Can Help Pedestrian Detection?", "", "Beijing, China", "Beijing, China", "\u5317\u4eac\u5e02, \u4e1c\u57ce\u533a, \u5317\u4eac\u5e02, 100010, \u4e2d\u56fd", "39.90621700", "116.39127570", "edu", ""], ["A Pedestrian Detection Method Based on the HOG-LBP Feature and Gentle AdaBoost", "", "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", ""], ["A Deep Learning Pipeline for Image Understanding and Acoustic Modeling", "", "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", ""], ["Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning", "", "Harvard University", "Harvard University", "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "42.36782045", "-71.12666653", "edu", ""], ["Pedestrian Verification for Multi-Camera Detection", "", "University of North Carolina at Charlotte", "University of North Carolina at Charlotte", "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "35.31034410", "-80.73261617", "edu", ""], ["Automatic adaptation of a generic pedestrian detector to a specific traffic scene", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", ""], ["Kernel Methods for Unsupervised Domain Adaptation by Boqing Gong", "", "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", ""], ["Towards Open Ended Learning: Budgets, Model Selection, and Representation", "", "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", ""], ["Co-occurrence flow for pedestrian detection", "", "University of Cambridge", "University of Cambridge", "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "52.17638955", "0.14308882", "edu", ""], ["SPID: Surveillance Pedestrian Image Dataset and Performance Evaluation for Pedestrian Detection", "", "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", ""], ["Visual Representations and Models: From Latent SVM to Deep Learning", "", "KTH Royal Institute of Technology, Stockholm", "KTH Royal Institute of Technology, Stockholm", "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "59.34986645", "18.07063213", "edu", ""], ["Vision-based bicyclist detection and tracking for intelligent vehicles", "", "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", ""], ["Enabling Pedestrian Safety using Computer Vision Techniques: A Case Study of the 2018 Uber Inc. Self-driving Car Crash", "", "Texas A&M University", "Texas A&M University", "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "30.61083650", "-96.35212800", "edu", ""], ["Part-Based Feature Synthesis for Human Detection", "", "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", ""], ["Normalized Autobinomial Markov Channels For Pedestrian Detection", "", "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", ""], ["Awareness of Road Scene Participants for Autonomous Driving", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", ""], ["Isotropic Granularity-tunable gradients partition (IGGP) descriptors for human detection", "", "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", ""], ["SLTP: A Fast Descriptor for People Detection in Depth Images", "", "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", ""], ["Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior", "", "York University", "York University", "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "43.77439110", "-79.50481085", "edu", ""], ["Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive Likelihoods", "", "Marquette University", "Marquette University", "Marquette University, West Wisconsin Avenue, University Hill, Milwaukee, Milwaukee County, Wisconsin, 53226, USA", "43.03889625", "-87.93155450", "edu", ""], ["Robust multi-view pedestrian tracking using neural networks", "", "University of Dayton", "University of Dayton", "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "39.73844400", "-84.17918747", "edu", ""], ["Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond", "", "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", ""], ["Deep Transfer Network: Unsupervised Domain Adaptation", "", "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", ""], ["Relaxed Softmax : Efficient Confidence Auto-Calibration for Safe Pedestrian 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", ""], ["Background Appearance Modeling with Applications to Visual Object Detection in an Open-Pit Mine", "", "Queensland University of Technology", "Queensland University of Technology", "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "-27.47715625", "153.02841004", "edu", ""], ["Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking", "University of 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", ""], ["Cross camera people counting with perspective estimation and occlusion handling", "", "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", ""], ["Illuminating Pedestrians via Simultaneous Detection and Segmentation", "", "Michigan State University", "Michigan State University", "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "42.71856800", "-84.47791571", "edu", ""], ["Repulsion Loss: Detecting Pedestrians in a Crowd", "", "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", ""], ["Soft-NMS \u2014 Improving Object Detection with One Line of Code", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", ""], ["Exploring Prior Knowledge for Pedestrian Detection", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", ""], ["Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters", "", "Beijing, China", "Beijing, China", "\u5317\u4eac\u5e02, \u4e1c\u57ce\u533a, \u5317\u4eac\u5e02, 100010, \u4e2d\u56fd", "39.90621700", "116.39127570", "edu", ""], ["Dual Motion GAN for Future-Flow Embedded Video Prediction", "Carnegie Mellon University", "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", ""], ["A Phase Discrepancy Analysis of Object Motion", "", "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", ""], ["Multiple People Tracking-by-Detection in a Multi-camera Environment", "", "Technical University Munich", "Technical University Munich", "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "48.14955455", "11.56775314", "edu", ""], ["Efficient Use of Geometric Constraints for Sliding-Window Object Detection in Video", "", "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", ""], ["Diagnosing state-of-the-art object proposal methods", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", ""], ["A Novel Human Detection Approach Based on Depth Map via Kinect", "", "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", ""], ["An Efficient Vision-Based Pedestrian Detection and Tracking System for ITS Applications", "", "University of Ottawa", "University of Ottawa", "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "45.42580475", "-75.68740118", "edu", ""], ["SAM-RCNN: Scale-Aware Multi-Resolution Multi-Channel Pedestrian Detection", "", "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", ""], ["Fine-grained classification of pedestrians in video: Benchmark and state of the art", "California Institute of Technology", "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", ""], ["A Heuristic Deformable Pedestrian Detection Method", "", "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", ""], ["Construction of a bird image dataset for ecological investigations", "", "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", ""], ["Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection", "", "Australian National University", "Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", ""], ["Perspective-Adjusting Appearance Model for Distributed Multi-View Person Tracking", "", "Technical University Munich", "Technical University Munich", "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "48.14955455", "11.56775314", "edu", ""], ["An Evaluation of Local Action Descriptors for Human Action Classification in the Presence of Occlusion", "", "Dublin City University", "DUBLIN CITY UNIVERSITY", "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "53.38522185", "-6.25740874", "edu", ""], ["Comparison of Visual Datasets for Machine Learning", "", "Florida International University", "Florida International University", "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "25.75533775", "-80.37628897", "edu", ""], ["Graininess-Aware Deep Feature Learning for Pedestrian Detection", "", "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", ""], ["Learning Cross-Modal Deep Representations for Robust Pedestrian Detection", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", ""], ["Learning Feature Hierarchies for Object Recognition", "", "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", ""], ["Object Recognition Using Junctions", "", "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", ""], ["Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network", "", "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", ""], ["Delving Deep into Multiscale Pedestrian Detection via Single Scale Feature Maps", "", "East China Normal University", "East China Normal University", "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "31.22849230", "121.40211389", "edu", ""], ["DYAN: A Dynamical Atoms-Based Network for Video Prediction", "", "Electrical and Computer Engineering", "Electrical and Computer Engineering", "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "33.58667840", "-101.87539204", "edu", ""], ["Rediction and U Nsupervised L Earning", "", "Harvard University", "Harvard University", "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "42.36782045", "-71.12666653", "edu", ""], ["Pedestrian detection aided by scale-discriminative network", "", "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", ""], ["A Sparse Coding Based Transfer Learning Framework for Pedestrian Detection", "", "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", ""], ["The Fastest Pedestrian Detector in the West", "", "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", ""], ["Integral Channel Features", "", "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", ""], ["Action unit recognition transfer across datasets", "", "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", ""], ["Vision of a Visipedia", "", "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", ""], ["Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection", "", "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", ""], ["Recognition in-the-Tail: Training Detectors for Unusual Pedestrians with Synthetic Imposters", "", "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", ""], ["Temporal and Fine-Grained Pedestrian Action Recognition on Driving Recorder Database", "National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8560, Japan", "Keio University", "Keio University", "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "35.54169690", "139.63471840", "edu", ""], ["Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale", "", "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", ""], ["Diagnosing Error in Object Detectors", "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", ""], ["Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB", "", "Keio University", "Keio University", "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "35.54169690", "139.63471840", "edu", ""], ["Softer-NMS: Rethinking Bounding Box Regression for Accurate 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", ""], ["Multispectral Deep Neural Networks for Pedestrian Detection", "", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", ""], ["Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice", "York University, Toronto, ON, Canada", "York University", "York University", "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "43.77439110", "-79.50481085", "edu", ""], ["Scene specific people detection by simple human interaction", "", "University of Padova", "University of Padova", "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "45.40811720", "11.89437860", "edu", "University of Padova, Via Gradenigo, 6 - 35131- Padova, Italy"], ["Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation", "", "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", ""], ["BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling", "Peking University", "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", ""], ["Building Context-Aware Object Detectors: Tying Objects and Context in a loop", "", "Robotics Institute", "Robotics Institute", "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "13.65450525", "100.49423171", "edu", ""], ["Visual Tracking of Multiple Humans with Machine Learning based Robustness Enhancement applied to Real-World Robotic Systems", "", "Technical University Munich", "Technical University Munich", "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "48.14955455", "11.56775314", "edu", ""], ["A Novel Benchmark RGBD Dataset for Dormant Apple Trees and Its Application to Automatic Pruning", "", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", ""], ["Vehicle Detection Method Based on Edge Information and Local Transform Histogram", "", "Hanyang University", "Hanyang University", "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "37.55572710", "127.04366420", "edu", ""], ["Learning Convolutional Feature Hierarchies for Visual Recognition", "", "Courant Institute of Mathematical Sciences", "Courant Institute of Mathematical Sciences", "Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "40.72864840", "-73.99568630", "edu", ""], ["Detectability prediction in dynamic scenes for enhanced environment perception", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", ""], ["Semi-interactive tracing of persons in real-life surveillance data", "", "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", ""], ["Online, Real-Time Tracking Using a Category-to-Individual Detector", "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", ""]]}