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@@ -3,3 +3,13 @@ id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,t
1,China,Brainwash,brainwash,39.9922379,116.30393816,Peking University,edu,7e915bb8e4ada4f8d261bc855a4f587ea97764ca,citation,,People detection in crowded scenes via regional-based convolutional network,2016
2,China,Brainwash,brainwash,28.2290209,112.99483204,"National University of Defense Technology, China",mil,591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b,citation,https://pdfs.semanticscholar.org/591a/4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b.pdf,A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering,2017
3,China,Brainwash,brainwash,28.2290209,112.99483204,"National University of Defense Technology, China",mil,b02d31c640b0a31fb18c4f170d841d8e21ffb66c,citation,,Localized region context and object feature fusion for people head detection,2016
+4,United States,Brainwash,brainwash,37.43131385,-122.16936535,Stanford University,edu,81ba5202424906f64b77f68afca063658139fbb2,citation,https://arxiv.org/pdf/1611.09078.pdf,Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition,2017
+5,Switzerland,Brainwash,brainwash,46.109237,7.08453549,IDIAP Research Institute,edu,81ba5202424906f64b77f68afca063658139fbb2,citation,https://arxiv.org/pdf/1611.09078.pdf,Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition,2017
+6,China,Brainwash,brainwash,35.86166,104.195397,"Megvii Inc. (Face++), China",company,03a65d274dc6caea94f6ab344e0b4969575327e3,citation,https://arxiv.org/pdf/1805.00123.pdf,CrowdHuman: A Benchmark for Detecting Human in a Crowd,2018
+7,China,Brainwash,brainwash,23.0502042,113.39880323,South China University of Technology,edu,2f02c1d4858d9c0f5d16099eb090560d5fa4f23f,citation,,Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture,2018
+8,China,Brainwash,brainwash,23.0502042,113.39880323,South China University of Technology,edu,cab97d4dc67919f965cc884d80e4d6b743a256eb,citation,,Scale Mapping and Dynamic Re-Detecting in Dense Head Detection,2018
+9,China,Brainwash,brainwash,31.20081505,121.42840681,Shanghai Jiao Tong University,edu,d78b190f98f9630cab261eabc399733af052f05c,citation,https://arxiv.org/pdf/1802.03269.pdf,Unsupervised Deep Domain Adaptation for Pedestrian Detection,2016
+10,Netherlands,Brainwash,brainwash,52.2380139,6.8566761,University of Twente,edu,d78b190f98f9630cab261eabc399733af052f05c,citation,https://arxiv.org/pdf/1802.03269.pdf,Unsupervised Deep Domain Adaptation for Pedestrian Detection,2016
+11,India,Brainwash,brainwash,12.9914929,80.2336907,"IIT Madras, India",edu,d488dad9fa81817c85a284b09ebf198bf6b640f9,citation,https://arxiv.org/pdf/1809.08766.pdf,FCHD: A fast and accurate head detector,2018
+12,Canada,Brainwash,brainwash,45.42580475,-75.68740118,University of Ottawa,edu,68ea88440fc48d59c7407e71a193ff1973f9ba7c,citation,https://pdfs.semanticscholar.org/68ea/88440fc48d59c7407e71a193ff1973f9ba7c.pdf,Shoulder Keypoint-Detection from Object Detection,2018
+13,Netherlands,Brainwash,brainwash,51.99882735,4.37396037,Delft University of Technology,edu,9043df1de4f6e181875011c1379d1a7f68a28d6c,citation,https://pdfs.semanticscholar.org/9043/df1de4f6e181875011c1379d1a7f68a28d6c.pdf,People Detection from Overhead Cameras,2018