diff options
Diffstat (limited to 'site/datasets/citations/ucf_crowd.json')
| -rw-r--r-- | site/datasets/citations/ucf_crowd.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/ucf_crowd.json b/site/datasets/citations/ucf_crowd.json index f8185bb2..7c4255f1 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": "", "country": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://crcv-web.eecs.ucf.edu/papers/cvpr2013/Counting_V3o.pdf", "report_link": "papers/32c801cb7fbeb742edfd94cccfca4934baec71da.html", "citation_count": 125, "citations_geocoded": 88, "citations_unknown": 37, "citations_empty": 6, "citations_pdf": 73, "citations_doi": 52, "name": "UCF-CC-50"}, "address": null, "citations": [["Human object estimation via backscattered radio frequency signal", "", "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", "2015"], ["Simulating Crowds in Egress Scenarios", "Virtual Humans Simulation Lab, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil", "Pontifical Catholic University of Rio Grande do Sul", "Pontifical Catholic University of Rio Grande do Sul", "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "-30.05934460", "-51.17349120", "edu", "", "Brazil", "2017"], ["Multi-scale convolutional neural networks for crowd counting", "", "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", "2017"], ["GrCS: Granular Computing-Based Crowd Segmentation", "Centre of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia", "University of Malaya", "University of Malaya", "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "3.12267405", "101.65356103", "edu", "", "Malaysia", "2017"], ["Probabilistic Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss", "", "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", "2014"], ["Detecting Repeating Objects Using Patch Correlation Analysis", "", "Hebrew University of Jerusalem", "The Hebrew University of Jerusalem", "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "31.79185550", "35.24472300", "edu", "", "Israel", "2016"], ["End-to-end crowd counting via joint learning local and global count", "Tsinghua National Lab for Info. Sci. & Tech., Depart. of Computer Sci. & Tech., 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", "2016"], ["Crowd Counting with Deep Negative Correlation Learning", "", "University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "-33.88096510", "151.20107299", "edu", "", "Australia", ""], ["Crowd counting estimation in video surveillance based on linear regression function", "School of Electronic Information and Electrical 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", "2016"], ["Depth driven people counting using deep region proposal network", "Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences", "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"], ["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"], ["CrowdNet: A Deep Convolutional Network for Dense Crowd Counting", "Indian Institute of Science, Bangalore, India", "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", "2016"], ["Improving Deep Crowd Density Estimation via Pre-classification of Density", "School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai, 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", "2017"], ["Bus scheduling method based on image texture and color analysis", "Information Research Institute of Shandong Academy of Sciences, Jinan, China", "Information Research Institute of Shandong Academy of Sciences, Jinan, China", "Information Research Institute of Shandong Academy of Sciences, Jinan, China", "202 Gongye N Rd, Licheng Qu, Jinan Shi, Shandong Sheng, China, 250032", "36.70847340", "117.07738690", "edu", "", "China", "2017"], ["Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Framework", "", "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", "2017"], ["Body Structure Aware Deep Crowd Counting", "School of Information Science and Technology, ShanghaiTech University, Shanghai, China", "ShanghaiTech University", "ShanghaiTech University", "Yueyang Rd, Xuhui Qu, Shanghai Shi, China", "31.20254500", "121.45308600", "edu", "", "", "2018"], ["Learning Short-Cut Connections for Object Counting", "", "Alcal\u00e1 de Henares, Spain", "Alcal\u00e1 de Henares, Spain", "Alcala de Henares, Madrid, Spain", "40.48197910", "-3.36354210", "edu", "", "", "2018"], ["Crowd Counting by Adapting Convolutional Neural Networks with Side Information", "", "City University of Hong Kong", "City University of Hong Kong", "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "22.34000115", "114.16970291", "edu", "", "China", "2016"], ["TraCount: a deep convolutional neural network for highly overlapping vehicle counting", "Indian Institute of Science, Bangalore, India", "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", "2016"], ["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", "", "China", "2017"], ["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"], ["People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting", "", "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", "", "Ireland", "2017"], ["Scale Aggregation Network for Accurate and Efficient Crowd Counting", "", "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"], ["Cross-scene crowd counting via deep convolutional neural networks", "", "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", "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", "", "United States", "2014"], ["Crowded Scene Understanding by Deeply Learned Volumetric Slices", "Department of Information 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", "2017"], ["Object counting in a single surveillance image", "Dept. of Mathematics and Scientific Computing, IIT Kanpur, Uttar Pradesh, India-208016", "IIT Kanpur", "IIT Kanpur", "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "26.51233880", "80.23290000", "edu", "", "India", "2017"], ["A texture based mani-fold approach for crowd density estimation using Gaussian Markov Random Field", "Malaviya National Institute of Technology, Jaipur, India", "Malaviya National Institute of Technology, Jaipur, India", "Malaviya National Institute of Technology, Jaipur, India", "Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India", "26.86301440", "75.81059200", "edu", "", "India", "2017"], ["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", "", "Australia", "2016"], ["Manifold-Based Visual Object Counting", "School of Electrical and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China", "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", "2018"], ["Deep People Counting in Extremely Dense Crowds", "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", "2015"], ["Crowd counting oriented to indoor scenes based on FCN with inception modules and residual networks", "College of Information Science and Engineering, Northeastern University, Shenyang, 110004", "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"], ["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", "", "Italy", "2018"], ["Crowd counting via learning perspective for multi-scale multi-view Web images", "Tsinghua National Laboratory for Information Science and Technology, Department of Computer 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", "2017"], ["Crowd Density Estimation Based on a Modified Multicolumn Convolutional Neural Network", "Dept. of Computer Science and Information Engineering, National Taipei University", "National Taipei University", "National Taipei University", "\u570b\u7acb\u81fa\u5317\u5927\u5b78, 151, \u5927\u5b78\u8def, \u9f8d\u6069\u91cc, \u9686\u6069\u57d4, \u4e09\u5cfd\u5340, \u65b0\u5317\u5e02, 23741, \u81fa\u7063", "24.94314825", "121.36862979", "edu", "", "Taiwan", "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, 61801, USA", "40.11116745", "-88.22587665", "edu", "", "United States", "2015"], ["Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid", "", "City University of Hong Kong", "City University of Hong Kong", "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "22.34000115", "114.16970291", "edu", "", "China", "2018"], ["A Deeply-Recursive Convolutional Network For Crowd Counting", "", "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", "2018"], ["Depth Information Guided Crowd Counting for Complex Crowd Scenes", "", "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"], ["Interactive Object Counting", "", "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", "2014"], ["Cox Processes for Counting by Detection", "Portland State University, Portland, USA", "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"], ["Small instance detection by integer programming on object density maps", "Department of Computer Science, City University of Hong Kong, China", "City University of Hong Kong", "City University of Hong Kong", "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "22.34000115", "114.16970291", "edu", "", "China", "2015"], ["Supplementary Material : Switching Convolutional Neural Network for Crowd Counting", "", "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", "2017"], ["Granular-based dense crowd density estimation", "Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia", "National University of Malaysia", "Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia", "43600 Bangi, Selangor, Malaysia", "2.91795020", "101.77127760", "edu", "", "Malaysia", "2017"], ["DeepSetNet: Predicting Sets with Deep Neural Networks", "", "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", "2017"], ["ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification", "", "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", "", "Ireland", "2017"], ["Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, 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", "2016"], ["Counting Everyday Objects in Everyday Scenes", "", "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"], ["In Defense of Single-column Networks for Crowd Counting", "", "Beijing, China", "Beijing, China", "Beijing, China", "39.90419990", "116.40739630", "edu", "", "China", "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", "", "Japan", "2017"], ["PaDNet: Pan-Density Crowd Counting", "", "The Pennsylvania State University", "The Pennsylvania State University", "Old Main, State College, PA 16801, USA", "40.79821330", "-77.85990840", "edu", "", "United States", "2018"], ["CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes", "", "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"], ["Iterative Crowd Counting", "", "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", "2018"], ["Switching Convolutional Neural Network for Crowd Counting", "", "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", "2017"], ["People counting and pedestrian flow statistics based on convolutional neural network and recurrent neural network", "School of Information Science and Technology, Donghua University, Shanghai, China", "Donghua University", "Donghua University", "\u4e1c\u534e\u5927\u5b66, \u65b0\u534e\u8def, \u957f\u5b81\u533a, \u4e0a\u6d77\u5e02, 210011, \u4e2d\u56fd", "31.20619390", "121.41047101", "edu", "", "China", "2018"], ["Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms", "", "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", "2015"], ["Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss", "School of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA", "Cornell University", "Cornell University", "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "42.45055070", "-76.47835130", "edu", "", "United States", "2017"], ["Fully Convolutional Crowd Counting On Highly Congested Scenes", "", "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", "", "Ireland", "2017"], ["Incorporating Side Information by Adaptive Convolution", "", "City University of Hong Kong", "City University of Hong Kong", "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "22.34000115", "114.16970291", "edu", "", "China", "2017"], ["Mixture of counting CNNs", "Meijo University, Nagoya-shi, Japan", "Meijo University", "Meijo University, Nagoya-shi, Japan", "1 Chome-\uff15\uff10\uff11 Shiogamaguchi, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0073, Japan", "35.13542910", "136.97509830", "edu", "", "Japan", "2018"], ["UNIVERSITY OF CALIFORNIA RIVERSIDE Bio-Image Analysis for Understanding Plant Development and Mosquito Behaviors A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2016"], ["A-CCNN: Adaptive CCNN for Density Estimation and Crowd Counting", "", "University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "-33.88096510", "151.20107299", "edu", "", "Australia", "2018"], ["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"], ["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", "", "Israel", "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", "", "United States", "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", "", "China", "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", "", "Bangladesh", "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", "", "Australia", "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", "", "China", "2018"], ["Convolutional neural networks for crowd behaviour analysis: a survey", "Department of Information Technology, Delhi Technological University, Delhi, India", "Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India", "Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India", "Site 4, Maharajpur, Sahibabad Industrial Area Site 4, Sahibabad, Ghaziabad, Uttar Pradesh 201010, India", "28.65508600", "77.33309490", "company", "", "India", "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", "", "United States", "2018"], ["DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation", "", "Carnegie Mellon University Silicon Valley", "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"], ["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", "", "China", "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", "", "United States", "2017"], ["Crowd Estimation Using Region-Specific HOG With SVM", "Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines", "De La Salle University Manila City", "Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines", "2401 Taft Ave, Malate, Manila, 1004 Metro Manila, Philippines", "14.56472940", "120.99318160", "edu", "", "Philippines", "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", "", "China", ""], ["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", "", "China", "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", "", "China", "2017"], ["Fully Convolutional Neural Networks for Crowd 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", "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", "", "China", ""], ["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", "", "United States", "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", "", "China", "2017"], ["Multi scale entropy based adaptive fuzzy contrast image enhancement for crowd images", "UTM-IRDA Digital Media Centre, Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia", "University Technology Malaysia", "Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia", "Universiti Teknologi Malaysia, N28A, Lingkaran Ilmu, 81310 Johor Bahru, Johor, Malaysia", "1.56485150", "103.63737050", "edu", "", "Malaysia", "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", "", "Netherlands", "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", "", "China", "2018"], ["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", "", "China", "2017"], ["Half-CNN: A General Framework for Whole-Image Regression", "", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", "2014"], ["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", "", "China", "2016"]]}
\ No newline at end of file +{"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "paper": {"key": "ucf_crowd", "name": "UCF-CC-50", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "year": "2013", "addresses": []}, "citations": [{"id": "e981661e6dd43e23cd5e046aaf66aebce4bc0318", "title": "DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06679.pdf"], "doi": []}, {"id": "bf63599a05692ba4c18476f696edf98bc28a4f3d", "title": "Fully Convolutional Neural Networks for Crowd Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.4464.pdf"], "doi": []}, {"id": "45f85371e3480b2631bbd03a5c2f57e0b00f00a2", "title": "Crowded Scene Understanding by Deeply Learned Volumetric Slices", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7517290", "http://doi.org/10.1109/TCSVT.2016.2593647"]}, {"id": "4b399e0d8153e842739e8b7401353209ce02b79f", "title": "Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06115.pdf"], "doi": []}, {"id": "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "title": "Accurate real-time people counting for crowded environments", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ae5b/2b449f59ae0f46f6a31ed4826d98241c394c.pdf"], "doi": []}, {"id": "ee89b903af1d8f26a8894a3773915c74f038883e", "title": "Half-CNN: A General Framework for Whole-Image Regression", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6885.pdf"], "doi": []}, {"id": "681a1b6c72af33e91e6b7f82994482b2076c6d59", "title": "Crowd Counting with Fully Convolutional Neural Network", "addresses": [{"name": "Memorial Sloan Kettering Cancer Center, New York City, NY", "source_name": "Memorial sloan kettering cancer center, medical physics, New York City, NY, United States", "street_adddress": "1275 York Ave, New York, NY 10065, USA", "lat": "40.76410100", "lng": "-73.95598370", "type": "edu", "country": "United States"}, {"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451787"]}, {"id": "aa892a303aac532ccec34ba0e741092df97fdb9b", "title": "People counting and pedestrian flow statistics based on convolutional neural network and recurrent neural network", "addresses": [{"name": "Donghua University", "source_name": "Donghua University", "street_adddress": "\u4e1c\u534e\u5927\u5b66, \u65b0\u534e\u8def, \u957f\u5b81\u533a, \u4e0a\u6d77\u5e02, 210011, \u4e2d\u56fd", "lat": "31.20619390", "lng": "121.41047101", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8406516"]}, {"id": "cc2eaa182f33defbb33d69e9547630aab7ed9c9c", "title": "Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce2e/e807a63bbdffa530c80915b04d11a7f29a21.pdf"], "doi": []}, {"id": "0d08ab78ce86e053ff3003aef951a5174d56beb8", "title": "A Thermal Infrared Video Benchmark for Visual Analysis", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs-people.bu.edu/wuzheng/research/publication/PBVS2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/Wu-etal-PBVS-2014.pdf", "http://www.cs.bu.edu/fac/betke/papers/WuFullerTheriaultBetke-PBVS-2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W04/papers/Wu_A_Thermal_Infrared_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.39", "http://doi.org/10.1109/CVPRW.2014.39"]}, {"id": "36db84d941f1a3ece8aacbfcdec79234f03aa1d2", "title": "Manifold-Based Visual Object Counting", "addresses": [{"name": "University of Surrey", "source_name": "University of Surrey", "street_adddress": "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu", "country": "United Kingdom"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://epubs.surrey.ac.uk/845693/1/Manifold-based%20Visual%20Object%20Counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272019", "http://doi.org/10.1109/TIP.2018.2799328", "https://www.ncbi.nlm.nih.gov/pubmed/29641404", "https://www.wikidata.org/entity/Q52594268"]}, {"id": "90aa891d181d918aafdf1a29d8620bc7859294b5", "title": "Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744605", "http://doi.org/10.1109/TIT.2016.2628784"]}, {"id": "25dba68e4db0ce361032126b91f734f9252cae7c", "title": "DeepSetNet: Predicting Sets with Deep Neural Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08998.pdf"], "doi": []}, {"id": "663981cfc5fc843ec2682b77ae427ac351bc2180", "title": "Detecting Repeating Objects Using Patch Correlation Analysis", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Huberman_Detecting_Repeating_Objects_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Huberman_Detecting_Repeating_Objects_2016_CVPR_supplemental.pdf", "http://www.cs.huji.ac.il/~raananf/projects/count/paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Huberman_Detecting_Repeating_Objects_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780686", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.317", "http://doi.org/10.1109/CVPR.2016.317"]}, {"id": "05fb0bb667e01eb118c5d91ef47c2e69f9be2f9f", "title": "Multi scale entropy based adaptive fuzzy contrast image enhancement for crowd images", "addresses": [{"name": "University Technology Malaysia", "source_name": "Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia", "street_adddress": "Universiti Teknologi Malaysia, N28A, Lingkaran Ilmu, 81310 Johor Bahru, Johor, Malaysia", "lat": "1.56485150", "lng": "103.63737050", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5126-7"]}, {"id": "4140ccbca5a585162420b82e9e4eeb9afbd1e7c2", "title": "Simulating Crowds in Egress Scenarios", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}, {"name": "University of Pennsylvania", "source_name": "University of Pennsylvania", "street_adddress": "Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.94923440", "lng": "-75.19198985", "type": "edu", "country": "United States"}, {"name": "Federal University of Rio Grande do Sul", "source_name": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", "street_adddress": "Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil", "lat": "-30.03382480", "lng": "-51.21882800", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-65202-3"]}, {"id": "7c81338ed0f8c6354c27cafe873b58ae7be76d19", "title": "Depth Information Guided Crowd Counting for Complex Crowd Scenes.", "addresses": [{"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02256.pdf"], "doi": []}, {"id": "d2df6e68a686ecc95a1e44505379db005f83ab18", "title": "Crowd Density Estimation Based on a Modified Multicolumn Convolutional Neural Network", "addresses": [{"name": "National Taipei University", "source_name": "National Taipei University", "street_adddress": "\u570b\u7acb\u81fa\u5317\u5927\u5b78, 151, \u5927\u5b78\u8def, \u9f8d\u6069\u91cc, \u9686\u6069\u57d4, \u4e09\u5cfd\u5340, \u65b0\u5317\u5e02, 23741, \u81fa\u7063", "lat": "24.94314825", "lng": "121.36862979", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489238", "http://doi.org/10.1109/IJCNN.2018.8489238"]}, {"id": "ce7d2454cdf522b9ddae98459ec9dfe4dcddc902", "title": "A Mobile Based Crowd Management System", "addresses": [{"name": "Benha University", "source_name": "Benha University", "street_adddress": "\u0643\u0644\u064a\u0629 \u0627\u0644\u0647\u0646\u062f\u0633\u0629 \u0628\u0634\u0628\u0631\u0627 \u062c\u0627\u0645\u0639\u0629 \u0628\u0646\u0647\u0627, \u0634\u0627\u0631\u0639 \u0627\u0644\u064a\u0627\u0632\u062c\u064a, \u0631\u0648\u0636 \u0627\u0644\u0641\u0631\u062c, \u0627\u0644\u0642\u0627\u0647\u0631\u0629, \u0645\u062d\u0627\u0641\u0638\u0629 \u0627\u0644\u0642\u0627\u0647\u0631\u0629, 2466, \u0645\u0635\u0631", "lat": "30.08187270", "lng": "31.24454841", "type": "edu", "country": "Egypt"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ce7d/2454cdf522b9ddae98459ec9dfe4dcddc902.pdf"], "doi": []}, {"id": "e27680dea38b7a0272042a82577eb58eb552785c", "title": "Multiscale Multitask Deep NetVLAD for Crowd Counting", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Zhengzhou University", "source_name": "Zhengzhou University", "street_adddress": "\u79d1\u5b66\u5927\u9053, \u4e2d\u539f\u533a (Zhongyuan), \u90d1\u5dde\u5e02 / Zhengzhou, \u6cb3\u5357\u7701, 450001, \u4e2d\u56fd", "lat": "34.80881680", "lng": "113.53526640", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8401914", "http://doi.org/10.1109/TII.2018.2852481"]}, {"id": "d9c5b08d51d1a08aa96e3577c5895fc224470d40", "title": "Bus scheduling method based on image texture and color analysis", "addresses": [{"name": "Information Research Institute of Shandong Academy of Sciences, Jinan, China", "source_name": "Information Research Institute of Shandong Academy of Sciences, Jinan, China", "street_adddress": "202 Gongye N Rd, Licheng Qu, Jinan Shi, Shandong Sheng, China, 250032", "lat": "36.70847340", "lng": "117.07738690", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393126", "http://doi.org/10.1109/FSKD.2017.8393126"]}, {"id": "11824658170994e4d4655e8f688bace16a0d3e48", "title": "Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Framework", "addresses": [{"name": "Qatar University", "source_name": "Qatar University", "street_adddress": "Qatar University, Roindabout 3, Al Tarfa (68), \u0623\u0645 \u0635\u0644\u0627\u0644, 24685, \u200f\u0642\u0637\u0631\u200e", "lat": "25.37461295", "lng": "51.48980354", "type": "edu", "country": "Qatar"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1182/4658170994e4d4655e8f688bace16a0d3e48.pdf"], "doi": []}, {"id": "fd645edffb18e76d89b9efe02bc0b76163de2261", "title": "Statistics on the number of people in the regular scene based on Hough and SVM", "addresses": [{"name": "Communication University of China", "source_name": "Communication University of China", "street_adddress": "\u4e2d\u56fd\u4f20\u5a92\u5927\u5b66, \u671d\u9633\u8def, \u5b9a\u798f\u5e84, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100024, \u4e2d\u56fd", "lat": "39.91199955", "lng": "116.55189141", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7924727"]}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "21c0bb96f989d2e5a61b48f1b88627763647b79d", "title": "GrCS: Granular Computing-Based Crowd Segmentation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/TCY2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434629", "http://doi.org/10.1109/TCYB.2016.2538765", "https://www.ncbi.nlm.nih.gov/pubmed/26992194"]}, {"id": "d57279d90f7f5278ac56974485810865cdb1446d", "title": "Cox Processes for Counting by Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10851-018-0838-5", "https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=1004&context=pics_pub"]}, {"id": "ef8f6c58926db1c7433ef899dc6a0eb554a37565", "title": "Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/zhangLWXYtmm16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7434020", "http://doi.org/10.1109/TMM.2016.2542585"]}, {"id": "10e2f2ad1dedec6066e063cb2098b089b35905a8", "title": "Crowd Scene Understanding from Video: A Survey", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3052930"]}, {"id": "834e738ade61dbf19bf8a7059921da345e9d5529", "title": "End-to-end crowd counting via joint learning local and global count", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532551", "http://doi.org/10.1109/ICIP.2016.7532551"]}, {"id": "54171243dfae9d7343c78026c9b94004df3853bb", "title": "ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10698.pdf"], "doi": []}, {"id": "1e99c95ea015a0639448fdf60f9694fed5464500", "title": "Interactive Object Counting", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1e99/c95ea015a0639448fdf60f9694fed5464500.pdf"], "doi": []}, {"id": "830466596c0908399760f2009a09ce605e3121c9", "title": "Revisiting Perspective Information for Efficient Crowd Counting", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01989.pdf"], "doi": []}, {"id": "5ece646d13786df1d84ff8eb2bfbc736dd337378", "title": "Leveraging Unlabeled Data for Crowd Counting by Learning to Rank", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03095.pdf"], "doi": []}, {"id": "6c182ec9bd85cf61b01c90955c81d71926b0198a", "title": "A Deeply-Recursive Convolutional Network For Crowd Counting", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05633.pdf"], "doi": []}, {"id": "9fb7a23910f6464902f1b653025f3aeaa20b90dd", "title": "CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09605.pdf"], "doi": []}, {"id": "73f4be4b6e56f5bde875a8987f90ba799dde35b2", "title": "Deep Spatial Regression Model for Image Crowd Counting", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09757.pdf"], "doi": []}, {"id": "504a4056692eba25e732717a3181ff73a5c7ec45", "title": "Crowd Counting Using Scale-Aware Attention Networks", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1903.02025.pdf"], "doi": []}, {"id": "fa634d2194974f52bff30e2ffab81c3f97c49b57", "title": "Crowd Estimation Using Region-Specific HOG With SVM", "addresses": [{"name": "De La Salle University Manila City", "source_name": "Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines", "street_adddress": "2401 Taft Ave, Malate, Manila, 1004 Metro Manila, Philippines", "lat": "14.56472940", "lng": "120.99318160", "type": "edu", "country": "Philippines"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8457384"]}, {"id": "0e8a7994f9b8c7c7686a4b4659920970aafa1b77", "title": "TraCount: a deep convolutional neural network for highly overlapping vehicle counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010060"]}, {"id": "7d1ac241fb603a4237cb681dbcf163a9f89e906a", "title": "Supplementary Material : Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7d1a/c241fb603a4237cb681dbcf163a9f89e906a.pdf"], "doi": []}, {"id": "bba153ebdf11e6fb8716e35749c671ac96c14176", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03686.pdf"], "doi": []}, {"id": "7cab6a3247f56e0e2fc38133ea0fb89c48dadda7", "title": "Spatiotemporal Modeling for Crowd Counting in Videos", "addresses": [{"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\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", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07890.pdf"], "doi": []}, {"id": "0d3018c0630fe3f44f96c7cb4c6cabc1517b100a", "title": "Fully Convolutional Crowd Counting On Highly Congested Scenes", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00220.pdf"], "doi": []}, {"id": "4c02d6874a761182f3776a5a04142e713cd939fa", "title": "Crowd Counting using Deep Recurrent Spatial-Aware Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Sydney", "source_name": "University of Sydney", "street_adddress": "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "lat": "-33.88890695", "lng": "151.18943366", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00601.pdf"], "doi": []}, {"id": "bf107f242abea2e52d82dcd834e58b774205ec84", "title": "Crowd Counting by Adapting Convolutional Neural Networks with Side Information", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.06748.pdf"], "doi": []}, {"id": "99783c792947f17e41c94ddaac31766277809049", "title": "Switching Convolutional Neural Network for Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00199.pdf"], "doi": []}, {"id": "4bdf749e43a8e0294ba345d2d3e524e21a144ef2", "title": "Count on Me: Learning to Count on a Single Image", "addresses": [{"name": "University of Verona", "source_name": "University of Verona", "street_adddress": "Via S. Francesco, 22, 37129 Verona VR, Italy", "lat": "45.43739800", "lng": "11.00337600", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7828028", "http://doi.org/10.1109/TCSVT.2017.2656718"]}, {"id": "abfe6fff334d159bf9b4e1fdd11bcf3e674b47fe", "title": "Learning Short-Cut Connections for Object Counting", "addresses": [{"name": "University of Alcal\u00e1", "source_name": "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}, {"name": "Alcal\u00e1 de Henares, Spain", "source_name": "Alcal\u00e1 de Henares, Spain", "street_adddress": "Alcala de Henares, Madrid, Spain", "lat": "40.48197910", "lng": "-3.36354210", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.02919.pdf"], "doi": []}, {"id": "0db6a58927a671c01089c53248b0e1c36bdc3231", "title": "Efficient Point Process Inference for Large-Scale Object Detection", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Pham_Efficient_Point_Process_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Pham_Efficient_Point_Process_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Pham_Efficient_Point_Process_CVPR_2016_paper.pdf", "https://cs.adelaide.edu.au/~trung/lib/exe/fetch.php?media=ls_obj_det.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780679", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.310", "http://doi.org/10.1109/CVPR.2016.310"]}, {"id": "0e8c603fbf8ca02435e1a44ed41db077acd5c8a8", "title": "Real-time crowd behavior detection using SIFT feature extraction technique in video sequences", "addresses": [{"name": "Indian Institute of Information Technology, Allahabad - India 140413", "source_name": "Indian Institute of Information Technology, Allahabad - India 140413", "street_adddress": "Indian Institute of Information Technology, Jhalwa, Prayagraj, Uttar Pradesh, India", "lat": "25.42991140", "lng": "81.77118270", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250602"]}, {"id": "dd056ecfdcc8ce89a550e56887f1df1a66f5cbff", "title": "Body Structure Aware Deep Crowd Counting", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\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", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "ShanghaiTech University", "source_name": "ShanghaiTech University", "street_adddress": "Yueyang Rd, Xuhui Qu, Shanghai Shi, China", "lat": "31.20254500", "lng": "121.45308600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mac.xmu.edu.cn/rrji/papers/IP%202018-Body.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8010465", "http://doi.org/10.1109/TIP.2017.2740160", "https://www.ncbi.nlm.nih.gov/pubmed/28816665", "https://www.wikidata.org/entity/Q38372031"]}, {"id": "ae47e73c25755427c9f5904425a35d7db737829b", "title": "Multi-scale convolutional neural networks for crowd counting", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.02359.pdf"], "doi": []}, {"id": "550c81fbd170177735d89ba751ef4fc07eb0a4bc", "title": "Indoor people density sensing using Wi-Fi and channel state information", "addresses": [{"name": "University of Tartu", "source_name": "UNIVERSITY OF TARTU", "street_adddress": "Paabel, University of Tartu, 17, \u00dclikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti", "lat": "58.38131405", "lng": "26.72078081", "type": "edu", "country": "Estonia"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/550c/81fbd170177735d89ba751ef4fc07eb0a4bc.pdf"], "doi": []}, {"id": "806d7b97c3535a3c62ce243fe7008149062d14c1", "title": "Learning to Count with CNN Boosting", "addresses": [{"name": "Tel Aviv University", "source_name": "Tel Aviv University", "street_adddress": "\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", "lat": "32.11198890", "lng": "34.80459702", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/806d/7b97c3535a3c62ce243fe7008149062d14c1.pdf"], "doi": []}, {"id": "1b21acf8daaf86c4f2228fa3f5e9aa38ab8ad30d", "title": "Cross-scene crowd counting via deep convolutional neural networks", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Cross-Scene_Crowd_Counting_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298684", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298684", "http://doi.org/10.1109/CVPR.2015.7298684"]}, {"id": "bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c", "title": "Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds", "addresses": [{"name": "Robotics Institute", "source_name": "Robotics Institute", "street_adddress": "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", "lat": "13.65450525", "lng": "100.49423171", "type": "edu", "country": "Thailand"}, {"name": "Qatar University", "source_name": "Qatar University", "street_adddress": "Qatar University, Roindabout 3, Al Tarfa (68), \u0623\u0645 \u0635\u0644\u0627\u0644, 24685, \u200f\u0642\u0637\u0631\u200e", "lat": "25.37461295", "lng": "51.48980354", "type": "edu", "country": "Qatar"}, {"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01050.pdf"], "doi": []}, {"id": "72f6bc80258293bddcca325fe95ce8df36ae6f06", "title": "An effective approach to crowd counting with CNN-based statistical features", "addresses": [{"name": "Anhui University", "source_name": "Anhui University", "street_adddress": "\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", "lat": "31.76909325", "lng": "117.17795091", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090827"]}, {"id": "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "title": "Divide and Count: Generic Object Counting by Image Divisions", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8488575", "http://doi.org/10.1109/TIP.2018.2875353", "https://www.ncbi.nlm.nih.gov/pubmed/30307867"]}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "a22a56b95b2544e6d6d19f8907e89b2c6f07d067", "title": "Deep People Counting in Extremely Dense Crowds", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806337"]}, {"id": "caf0dff8d4008ad634821e7a3061d59cd1fd7fde", "title": "Depth driven people counting using deep region proposal network", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\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", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078944"]}, {"id": "a3dab83995f27ec8d09cbc06fe815ade88232d10", "title": "Probabilistic Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4446.pdf"], "doi": []}, {"id": "b13ca5fdd9de920915d602047305c1ccc6cab4cb", "title": "Convolutional neural networks for crowd behaviour analysis: a survey", "addresses": [{"name": "Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India", "source_name": "Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India", "street_adddress": "Site 4, Maharajpur, Sahibabad Industrial Area Site 4, Sahibabad, Ghaziabad, Uttar Pradesh 201010, India", "lat": "28.65508600", "lng": "77.33309490", "type": "company", "country": "India"}, {"name": "Delhi Technological University", "source_name": "Delhi Technological University, Delhi", "street_adddress": "Bawana Rd, Delhi Technological University, Shahbad Daulatpur Village, Rohini, Delhi, 110042, India", "lat": "28.75007490", "lng": "77.11766520", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1499-5"]}, {"id": "1e0fc2e5537db53080ec9a875df614dd8018c873", "title": "Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting", "addresses": [{"name": "Meijo University", "source_name": "Meijo University, Nagoya-shi, Japan", "street_adddress": "1 Chome-\uff15\uff10\uff11 Shiogamaguchi, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0073, Japan", "lat": "35.13542910", "lng": "136.97509830", "type": "edu", "country": "Japan"}, {"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "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", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09393.pdf"], "doi": []}, {"id": "7e225e3e61527f35b7bf44d47e12cbadfc9441f8", "title": "Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00953.pdf"], "doi": []}, {"id": "c05f9e4979cb33090db984226ff3cff6e2dc1950", "title": "Counting in Dense Crowds using Deep Features", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c05f/9e4979cb33090db984226ff3cff6e2dc1950.pdf"], "doi": []}, {"id": "9713e87734046cb7a2d040d71fa35cf93472ea80", "title": "Granular-based dense crowd density estimation", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "National University of Malaysia", "source_name": "Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia", "street_adddress": "43600 Bangi, Selangor, Malaysia", "lat": "2.91795020", "lng": "101.77127760", "type": "edu", "country": "Malaysia"}], "year": "2017", "pdf": ["http://cs-chan.com/doc/MVA2018.pdf"], "doi": ["http://doi.org/10.1007/s11042-017-5418-y"]}, {"id": "03799d5eb1de8141db27856758a2f72436fcc926", "title": "A texture based mani-fold approach for crowd density estimation using Gaussian Markov Random Field", "addresses": [{"name": "Malaviya National Institute of Technology, Jaipur, India", "source_name": "Malaviya National Institute of Technology, Jaipur, India", "street_adddress": "Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India", "lat": "26.86301440", "lng": "75.81059200", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5554-4"]}, {"id": "45e459462a80af03e1bb51a178648c10c4250925", "title": "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning", "addresses": [{"name": "The University of North Carolina at Chapel Hill", "source_name": "The University of North Carolina at Chapel Hill, USA", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.08998.pdf"], "doi": []}, {"id": "1a964f13abb3cdc5675dbfd612fa0409608e28c7", "title": "CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.10062.pdf"], "doi": []}, {"id": "eae17f9364f3838b23cf5cb53ce6be0f1d3d931c", "title": "Object counting in a single surveillance image", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8077076", "http://doi.org/10.1109/NCC.2017.8077076"]}, {"id": "e9bfde4d9898a886c340e5ce4337c2969207990e", "title": "Multi-source approach for crowd density estimation in still images", "addresses": [{"name": "Malviya National Institute of Technology Jaipur, India", "source_name": "Malviya National Institute of Technology Jaipur, India-302017", "street_adddress": "Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India", "lat": "26.86301440", "lng": "75.81059200", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947682", "http://doi.org/10.1109/ISBA.2017.7947682"]}, {"id": "6965de4410921cff014a48b071f2c4c52c1da0fd", "title": "Human object estimation via backscattered radio frequency signal", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "PLA University of Science and Technology", "source_name": "PLA University of Science and Technology, China", "street_adddress": "China, \u53cc\u9f99\u885760\u53f7", "lat": "31.97090700", "lng": "118.81289890", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://web.cse.msu.edu/~alexliu/publications/Jinsong_ObjectEstimation/Jinsong_ObjectEstimation_INFOCOM15.pdf", "https://www.cse.msu.edu/~alexliu/publications/Jinsong_ObjectEstimation/Jinsong_ObjectEstimation_INFOCOM15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7218545", "http://doi.org/10.1109/INFOCOM.2015.7218545"]}, {"id": "a97b9407c71ae57f257f07d2c1aac82690d2dd28", "title": "A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot", "addresses": [{"name": "Shanghai Institute of Technology", "source_name": "Shanghai Institute of Technology, Shanghai, China", "street_adddress": "100 Haiquan Rd, Fengxian Qu, Shanghai Shi, China", "lat": "30.83807700", "lng": "121.50781700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://alife-robotics.co.jp/homepage2018/members2017/icarob/data/html/data/OS_pdf/OS16/OS16-1.pdf", "https://download.atlantis-press.com/article/25878348.pdf"], "doi": ["https://doi.org/10.2991/jrnal.2017.4.1.17"]}, {"id": "5b823d0bdcb2c5dddfb84b4f92353bc5aa8f2644", "title": "In Defense of Single-column Networks for Crowd Counting", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06133.pdf"], "doi": []}, {"id": "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "title": "Real-time people counting from depth imagery of crowded environments", "addresses": [{"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BSBD14/PID3277847.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/03/people-counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918691", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918691", "http://doi.org/10.1109/AVSS.2014.6918691"]}, {"id": "4e6305b9c9ec58db62548c666357521fb4b3f6f9", "title": "Iterative Crowd Counting", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09959.pdf"], "doi": []}, {"id": "a9bd2133928a9d3fe708c9ee6e8d64ae1fc9a43a", "title": "Mixture of counting CNNs", "addresses": [{"name": "Hiroshima University", "source_name": "Hiroshima University", "street_adddress": "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", "lat": "34.40197660", "lng": "132.71231950", "type": "edu", "country": "Japan"}, {"name": "Meijo University", "source_name": "Meijo University, Nagoya-shi, Japan", "street_adddress": "1 Chome-\uff15\uff10\uff11 Shiogamaguchi, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0073, Japan", "lat": "35.13542910", "lng": "136.97509830", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0955-6"]}, {"id": "0012d023347d01b791e7753f4f58567a5d480f7f", "title": "Crowd counting via learning perspective for multi-scale multi-view Web images", "addresses": [{"name": "Huawei Technologies, Beijing, China", "source_name": "Huawei Technologies, Beijing, China", "street_adddress": "China, Beijing, Xicheng, W Chang'an Ave, \u897f\u957f\u5b89\u8857\u753288\u53f7\u5317\u4eac\u9996\u90fd\u65f6\u4ee3\u5e7f\u573a11\u5c42", "lat": "39.90583800", "lng": "116.37551600", "type": "company", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-017-6598-3"]}, {"id": "c7b2bd43a11ce73ad84d0b38a760433661ebf075", "title": "Advances in Crowd Analysis for Urban Applications Through Urban Event Detection", "addresses": [{"name": "Anglia Ruskin University", "source_name": "Faculty of Science and Technology, Anglia Ruskin University, Chelmsford, U.K.", "street_adddress": "Bishop Hall Ln, Chelmsford CM1 1SQ, UK", "lat": "51.74147370", "lng": "0.47419480", "type": "edu", "country": "United Kingdom"}, {"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}, {"name": "Chiang Mai University", "source_name": "Chiang Mai University", "street_adddress": "239 Huaykaew Rd, Tambon Su Thep, Amphoe Mueang Chiang Mai, Chang Wat Chiang Mai 50200, Thailand", "lat": "18.80439490", "lng": "98.95481230", "type": "edu", "country": "Thailand"}, {"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "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", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8194870"]}, {"id": "4543845adcb6135f263cbf6c2813d10464199d52", "title": "Improving Deep Crowd Density Estimation via Pre-classification of Density", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Shanghai Institute of Technology", "source_name": "Shanghai Institute of Technology, Shanghai, China", "street_adddress": "100 Haiquan Rd, Fengxian Qu, Shanghai Shi, China", "lat": "30.83807700", "lng": "121.50781700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-70090-8_27"]}, {"id": "133d9795a89a681c9f6db6a0244e8975992d968a", "title": "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967300"]}, {"id": "9c101af0cbee452a8f85ff89be0d4525daf3736b", "title": "A-CCNN: Adaptive CCNN for Density Estimation and Crowd Counting", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451399"]}, {"id": "5987fe1cac83ab8b2413dc53c7fea9df15a096e8", "title": "Al-Masjid An-Nabawi Crowd Adviser Crowd Level Estimation Using Head Detection", "addresses": [{"name": "Taibah University", "source_name": "Taibah University, College of Computer Science and Engineering, Medina, Saudi Arabia", "street_adddress": "Janadah Bin Umayyah Road\u060c Tayba, Medina 42353, Saudi Arabia", "lat": "24.48607820", "lng": "39.54217980", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8442025"]}, {"id": "f9e21549678feea9129112feba7ab5b702abbded", "title": "Skip-connection convolutional neural network for still image crowd counting", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10489-018-1150-1"]}, {"id": "4cf9a2af6ab02ba026832c057cf9fde7489d42ba", "title": "Small instance detection by integer programming on object density maps", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://visal.cs.cityu.edu.hk/static/pubs/conf/cvpr15-densdet-exabstract.pdf", "http://visal.cs.cityu.edu.hk/static/pubs/conf/cvpr15-densdet.pdf", "http://www.cs.cityu.edu.hk/news/seminars/sem2014-2015_no25.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_038_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_038_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Ma_Small_Instance_Detection_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298992", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298992", "http://doi.org/10.1109/CVPR.2015.7298992"]}, {"id": "f8e55d0bb896d93385b590c13c5702b63b41d489", "title": "Crowd counting estimation in video surveillance based on linear regression function", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7852682", "http://doi.org/10.1109/CISP-BMEI.2016.7852682"]}, {"id": "4bfaf3d14625cf020e65fbbc5be262b83342facc", "title": "Crowd counting oriented to indoor scenes based on FCN with inception modules and residual networks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407262"]}, {"id": "47580b23dac6ebace27f4503ceb6200fee45056d", "title": "Crowd counting using complex convolutional neural network", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}, {"name": "Institute of Control and Industrial Electronics, Warsaw, ul. Koszykowa 75", "source_name": "Institute of Control and Industrial Electronics, Warsaw, ul. Koszykowa 75", "street_adddress": "Koszykowa 75, 00-662 Warszawa, Poland", "lat": "52.22242500", "lng": "21.00806800", "type": "edu", "country": "Poland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8563383"]}, {"id": "888bb55811a77011a1f922044ee5709f25cb5b36", "title": "ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11968.pdf"], "doi": []}, {"id": "96179303817c6e3549f779abf6e033ae7d221199", "title": "Abnormal Behavior Detection in Crowded Scenes Using Density Heatmaps and Optical Flow", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553620"]}, {"id": "d9877f4744993c6680d61bdeaef2dc4f5aae971f", "title": "Dual Structure Constrained Multimodal Feature Coding for Social Event Detection from Flickr Data", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\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", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}, {"name": "Guangdong University of Technology and City University of Hong Kong", "source_name": "Guangdong University of Technology and City University of Hong Kong", "street_adddress": "83 Tat Chee Ave, Kowloon Tong, Hong Kong", "lat": "22.33761850", "lng": "114.17141320", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\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", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3015463"]}, {"id": "737f3cf354f40a6a7fd8a2058fe2803b8dd6c56b", "title": "Image Crowd Counting Using Convolutional Neural Network and Markov Random Field", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/737f/3cf354f40a6a7fd8a2058fe2803b8dd6c56b.pdf"], "doi": []}, {"id": "f9893fddc3e7d5d3e2b910baa218fc1467ae5e76", "title": "Multi-scale Generative Adversarial Networks for Crowd Counting", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\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", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545683"]}, {"id": "6ef78987104b7e66c1a71f87b94c4b0ebf34330e", "title": "Incorporating Side Information by Adaptive Convolution", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6ef7/8987104b7e66c1a71f87b94c4b0ebf34330e.pdf"], "doi": []}, {"id": "95a287356caad3910df98d52a3723e1f98e491f8", "title": "Managing Crowds with Wireless and Mobile Technologies", "addresses": [{"name": "King Abdulaziz University", "source_name": "Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia", "street_adddress": "Jeddah 21589, Saudi Arabia", "lat": "21.49607520", "lng": "39.24512500", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/95a2/87356caad3910df98d52a3723e1f98e491f8.pdf"], "doi": []}, {"id": "6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de", "title": "Crowd Counting via Scale-Adaptive Convolutional Neural Network", "addresses": [{"name": "Shanghai Jiaotong University", "source_name": "Shanghai Jiaotong University", "street_adddress": "China, Shanghai, Minhang, \u4e1c\u5ddd\u8def \u90ae\u653f\u7f16\u7801: 200240", "lat": "31.02522010", "lng": "121.43377840", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.04433.pdf"], "doi": []}, {"id": "fe5679c183cb432894d111bf02cc3243c89762ca", "title": "Adaptive Scenario Discovery for Crowd Counting", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02393.pdf"], "doi": []}, {"id": "bb65479d3f38b73826596e5da9dbf5ee4199d42c", "title": "Scale Aggregation Network for Accurate and Efficient Crowd Counting", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bb65/479d3f38b73826596e5da9dbf5ee4199d42c.pdf"], "doi": []}, {"id": "054ede6144c3dee20b9b9a435a33ece783a32cfc", "title": "Analysis of Crowd Behavior Based on Optical Flow: Detection,Classification, and Clustering", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/054e/de6144c3dee20b9b9a435a33ece783a32cfc.pdf"], "doi": []}]}
\ No newline at end of file |