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Diffstat (limited to 'site/datasets/citations/ucf_crowd.json')
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1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/ucf_crowd.json b/site/datasets/citations/ucf_crowd.json index c527543f..4a44c271 100644 --- a/site/datasets/citations/ucf_crowd.json +++ b/site/datasets/citations/ucf_crowd.json @@ -1 +1 @@ -{"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "paper": {"paperId": "32c801cb7fbeb742edfd94cccfca4934baec71da", "key": "ucf_crowd", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "journal": "2013 IEEE Conference on Computer Vision and Pattern Recognition", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://www.cs.ucf.edu/~haroon/datafiles/Idrees_Counting_CVPR_2013.pdf", "report_link": "papers/32c801cb7fbeb742edfd94cccfca4934baec71da.html", "citation_count": 125, "citations_geocoded": 47, "citations_unknown": 78, "citations_empty": 6, "citations_pdf": 72, "citations_doi": 52, "name": "UCF-CC-50"}, "address": null, "citations": [["Human object estimation via backscattered radio frequency signal", "", 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"40.01419050", "-83.03091430", "edu", "", 2015], ["A Thermal Infrared Video Benchmark for Visual Analysis", "", "Boston University", "Boston University", "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "42.35042530", "-71.10056114", "edu", "", 2014], ["Efficient Point Process Inference for Large-Scale Object Detection", "", "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", "", 2016], ["Leveraging Unlabeled Data for Crowd Counting by Learning to Rank", "", "University of Florence", "University of Florence", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "2018"], ["Counting in Dense Crowds using Deep Features", "", "University of Illinois, Urbana-Champaign", "University of Illinois, Urbana-Champaign", "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 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"", "2018"], ["Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting", "", "Hiroshima University", "Hiroshima University", "Hiroshima University\u3000\u5e83\u5cf6\u5927\u5b66 \u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9, \u51fa\u4f1a\u3044\u306e\u9053\u3000Deai-no-michi Str., \u897f\u6761\u4e0b\u898b, \u6771\u5e83\u5cf6\u5e02, \u5e83\u5cf6\u770c, \u4e2d\u56fd\u5730\u65b9, 739-0047, \u65e5\u672c", "34.40197660", "132.71231950", "edu", "", 2017], ["PaDNet: Pan-Density Crowd Counting", "", "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", "", "2018"], ["CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes", "", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", 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Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "2017"], ["Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "", "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", "", "2017"], ["Crowd Counting using Deep Recurrent Spatial-Aware Network", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "2018"], ["Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds", "", "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", "", "2018"], ["DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation", "", "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", "", "2017"], ["Crowd Counting via Adversarial Cross-Scale Consistency Pursuit", "", "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", "", ""], ["Deep Spatial Regression Model for Image Crowd Counting", "", "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", "", 2017], ["Fully Convolutional Neural Networks for Crowd Segmentation", "", "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", "", 2014], ["Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes", "", "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", "", ""], ["Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs", "", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "2017"], ["Spatiotemporal Modeling for Crowd Counting in Videos", "", "Hong Kong University of Science and Technology", "Hong Kong University of Science and Technology", "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "22.33863040", "114.26203370", "edu", "", "2017"], ["Half-CNN: A General Framework for Whole-Image Regression", "", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", "", 2014]]}
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Florence", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "2015"], ["Learning to Count with CNN Boosting", "", "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", "", "2016"], ["CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting", "", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "2017"], ["Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "", "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", "", "2017"], ["Advances in Crowd Analysis for Urban Applications Through Urban Event Detection", "Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh", "Institute of Information Technology", "Institute of Information Technology", "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "23.72898990", "90.39826820", "edu", "", "2018"], ["Crowd Counting using Deep Recurrent Spatial-Aware Network", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "2018"], ["Crowd Counting via Scale-Adaptive Convolutional Neural Network", "", "Shanghai Jiaotong University", "Shanghai Jiaotong University", "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "31.02522010", "121.43377840", "edu", "", "2018"], ["Convolutional neural networks for crowd behaviour analysis: a survey", "Department of Information Technology, Delhi Technological University, Delhi, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "2018"], ["Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds", "", "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", "", "2018"], ["DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation", "", "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", "", "2017"], ["Multiscale Multitask Deep NetVLAD for Crowd Counting", "School of Information Engineering, Zhengzhou University, Zhengzhou, China", "Zhengzhou University", "Zhengzhou University", "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "34.80881680", "113.53526640", "edu", "", "2018"], ["Crowd Scene Understanding from Video: A Survey", "University of Notre Dame, Notre Dame, Indiana", "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", "", "2017"], ["Perspective-Aware CNN For Crowd Counting", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2018"], ["Crowd Counting via Adversarial Cross-Scale Consistency Pursuit", "", "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", "", ""], ["Deep Spatial Regression Model for Image Crowd Counting", "", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2017"], ["Dual Structure Constrained Multimodal Feature Coding for Social Event Detection from Flickr Data", "University of Macau", "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", "", "2017"], ["Fully Convolutional Neural Networks for Crowd Segmentation", "", "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", "", "2014"], ["Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes", "", "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", "", ""], ["Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs", "", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "2017"], ["An effective approach to crowd counting with CNN-based statistical features", "Anhui University, School of Mathematical Sciences, Hefei, China", "Anhui University", "Anhui University", "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "31.76909325", "117.17795091", "edu", "", "2017"], ["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", "", "2018"], ["Skip-connection convolutional neural network for still image crowd counting", "Department of Automation, 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", "", "2018"], ["Human count estimation in high density crowd images and videos", "Department of Computer Science & Engineering, Department of Electronics Engineering, Indian Institute of Technology (B.H.U.), Varanasi-221005, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "2016"], ["Spatiotemporal Modeling for Crowd Counting in Videos", "", "Hong Kong University of Science and Technology", "Hong Kong University of Science and Technology", "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "22.33863040", "114.26203370", "edu", "", "2017"], ["Half-CNN: A General Framework for Whole-Image Regression", "", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", "", "2014"], ["Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2018"], ["Statistics on the number of people in the regular scene based on Hough and SVM", "Communication University of China, Beijing, 100024, China", "Communication University of China", "Communication University of China", "\u4e2d\u56fd\u4f20\u5a92\u5927\u5b66, \u671d\u9633\u8def, \u5b9a\u798f\u5e84, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100024, \u4e2d\u56fd", "39.91199955", "116.55189141", "edu", "", "2016"]]}
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