diff options
Diffstat (limited to 'site/datasets/final/wider_face.json')
| -rw-r--r-- | site/datasets/final/wider_face.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/final/wider_face.json b/site/datasets/final/wider_face.json index 618d79e7..ffedc911 100644 --- a/site/datasets/final/wider_face.json +++ b/site/datasets/final/wider_face.json @@ -1 +1 @@ -{"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "dataset": {"key": "wider_face", "name_short": "WIDER FACE", "name_full": "Web Image Dataset for Event Recognition Face", "purpose": "face detection benchmark dataset", "url": "http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/", "downloaded": "N", "mp_pub": "N", "ft_share": "Y", "wild": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "flickr": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "parent": "", "child": "", "usernames": "", "names": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "32,203 ", "videos": "", "identities": "0 ", "faces": "", "img_per_person": "", "num_cameras": "", "faces_persons": "393,703 ", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "derivative_of": "Y", "tags": "", "source": "wider", "size_gb": "", "agreement": "NA", "agree_requied": "", "agreement_signed": "", "downloaded_from": "", "comment": "", "": "", "adam": "", "berit": "Y", "charlie": "", "notes": ""}, "paper": {"paper_id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "key": "wider_face", "title": "WIDER FACE: A Face Detection Benchmark", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06523.pdf"], "address": {"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": "WIDER FACE", "doi": []}, "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"}], "additional_papers": [], "citations": [{"id": "28646c6220848db46c6944967298d89a6559c700", "title": "It takes two to tango : Cascading off-the-shelf face detectors", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2864/6c6220848db46c6944967298d89a6559c700.pdf"]}, {"id": "def2983576001bac7d6461d78451159800938112", "title": "The Do\u2019s and Don\u2019ts for CNN-Based Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07426.pdf"]}, {"id": "2d8001ffee6584b3f4d951d230dc00a06e8219f8", "title": "Feature Agglomeration Networks for Single Stage Face Detection", "addresses": [{"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00721.pdf"]}, {"id": "d8fbd3a16d2e2e59ce0cff98b3fd586863878dc1", "title": "Face detection and recognition for home service robots with end-to-end deep neural networks", "addresses": [{"name": "Futurewei Technologies Inc., Santa Clara, CA", "source_name": "Robotics Lab, Futurewei Technologies Inc., Santa Clara, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002232.pdf"]}, {"id": "e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7", "title": "Toward End-to-End Face Recognition Through Alignment Learning", "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07174.pdf"]}, {"id": "4e30107ee6a2e087f14a7725e7fc5535ec2f5a5f", "title": "\u041f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u043d\u043e\u0432\u043e\u0441\u0442\u043d\u044b\u0445 \u0441\u044e\u0436\u0435\u0442\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0441\u043e\u0431\u044b\u0442\u0438\u0439\u043d\u044b\u0445 \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u0439 (News Stories Representation Using Event Photos)", "addresses": [{"name": "Lomonosov Moscow State University", "source_name": "Lomonosov Moscow State University", "street_adddress": "\u041c\u0413\u0423, \u0443\u043b\u0438\u0446\u0430 \u0410\u043a\u0430\u0434\u0435\u043c\u0438\u043a\u0430 \u0425\u043e\u0445\u043b\u043e\u0432\u0430, \u041c\u043e\u0441\u043a\u043e\u0432\u0441\u043a\u0438\u0439 \u0433\u043e\u0441\u0443\u0434\u0430\u0440\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u0438\u043c.\u00a0\u041c.\u00a0\u0412.\u00a0\u041b\u043e\u043c\u043e\u043d\u043e\u0441\u043e\u0432\u0430, \u0440\u0430\u0439\u043e\u043d \u0420\u0430\u043c\u0435\u043d\u043a\u0438, \u0417\u0430\u043f\u0430\u0434\u043d\u044b\u0439 \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u0438\u0432\u043d\u044b\u0439 \u043e\u043a\u0440\u0443\u0433, \u041c\u043e\u0441\u043a\u0432\u0430, \u0426\u0424\u041e, 119234, \u0420\u0424", "lat": "55.70229715", "lng": "37.53179777", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4e30/107ee6a2e087f14a7725e7fc5535ec2f5a5f.pdf"]}, {"id": "72cbbdee4f6eeee8b7dd22cea6092c532271009f", "title": "Masquer Hunter: Adversarial Occlusion-aware Face Detection", "addresses": [{"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": ["https://arxiv.org/pdf/1709.05188.pdf"]}, {"id": "bd236913cfe07896e171ece9bda62c18b8c8197e", "title": "Deep Learning with Energy-efficient Binary Gradient Cameras", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00986.pdf"]}, {"id": "e659221538d256b2c3e0724deff749eda903fc7d", "title": "Fine-Grained Head Pose Estimation Without Keypoints", "addresses": [{"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/1710.00925.pdf"]}, {"id": "acee2201f8a15990551804dd382b86973eb7c0a8", "title": "To boost or not to boost? On the limits of boosted trees for object detection", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.01692.pdf"]}, {"id": "377f2b65e6a9300448bdccf678cde59449ecd337", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "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": ""}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1804.10275.pdf"]}, {"id": "6dbdb07ce2991db0f64c785ad31196dfd4dae721", "title": "Seeing Small Faces from Robust Anchor's Perspective", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09058.pdf"]}, {"id": "aa799d721f75510be236ac73f26ec92b0a89ab10", "title": "Computer Vision \u2013 ECCV 2018", "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"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"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": "2018", "pdf": []}, {"id": "f79e4ba09402adab54d2efadd1c4bfe4e20c5da5", "title": "A highly accurate facial region network for unconstrained face detection", "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"}], "year": "2017", "pdf": []}, {"id": "3c97c32ff575989ef2869f86d89c63005fc11ba9", "title": "Face Detection with the Faster R-CNN", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.03473.pdf"]}, {"id": "25c108a56e4cb757b62911639a40e9caf07f1b4f", "title": "Recurrent Scale Approximation for Object Detection in CNN", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09531.pdf"]}, {"id": "24d45df91ebcfac7a49cdfb7116e971e12880612", "title": "UNICITY: A depth maps database for people detection in security airlocks", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/24d4/5df91ebcfac7a49cdfb7116e971e12880612.pdf"]}, {"id": "7788fa76f1488b1597ee2bebc462f628e659f61e", "title": "A Privacy-Aware Architecture at the Edge for Autonomous Real-Time Identity Reidentification in Crowds", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": []}, {"id": "e4e07f5f201c6986e93ddb42dcf11a43c339ea2e", "title": "Cross-pose landmark localization using multi-dropout framework", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": []}, {"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"]}, {"id": "beb49072f5ba79ed24750108c593e8982715498e", "title": "GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04932.pdf"]}, {"id": "15ee80e86e75bf1413dc38f521b9142b28fe02d1", "title": "Towards a deep learning framework for unconstrained face detection", "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": "2016", "pdf": ["https://arxiv.org/pdf/1612.05322.pdf"]}, {"id": "cd023d2d067365c83d8e27431e83e7e66082f718", "title": "Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks", "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"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1804.06039.pdf"]}, {"id": "438e7999c937b94f0f6384dbeaa3febff6d283b6", "title": "Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild", "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": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02402.pdf"]}, {"id": "35ccc836df60cd99c731412fe44156c7fd057b99", "title": "A cascade framework for masked face detection", "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"}, {"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": []}, {"id": "ac6c3b3e92ff5fbcd8f7967696c7aae134bea209", "title": "Deep Cascaded Bi-Network for Face Hallucination", "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": "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 California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05046.pdf"]}, {"id": "4203f10b41e7931a63598989aa14478c04b725c9", "title": "Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.08263.pdf"]}, {"id": "cc70fb1ab585378c79a2ab94776723e597afe379", "title": "Detect face in the wild using CNN cascade with feature aggregation at multi-resolution", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": []}, {"id": "a896ddeb0d253739c9aaef7fc1f170a2ba8407d3", "title": "SSH: Single Stage Headless Face Detector", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03979.pdf"]}, {"id": "eb87151fd2796ff5b4bbcf1906d41d53ac6c5595", "title": "Enhanced face detection using body part detections for wearable cameras", "addresses": [{"name": "IBM Thomas J. Watson Research Center", "source_name": "IBM Thomas J. Watson Research Center", "street_adddress": "IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA", "lat": "41.21002475", "lng": "-73.80407056", "type": "company", "country": "United States"}], "year": "2016", "pdf": []}, {"id": "185263189a30986e31566394680d6d16b0089772", "title": "Efficient Annotation of Objects for Video Analysis", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1852/63189a30986e31566394680d6d16b0089772.pdf"]}, {"id": "19d4b3679294563247c126148912d44cbf03e40e", "title": "Value-Aware Resampling and Loss for Imbalanced Classification", "addresses": [{"name": "Guangdong University of Finance and Economics", "source_name": "Guangdong University of Finance and Economics, Guangzhou, China", "street_adddress": "21 Luntou Rd, Haizhu Qu, Guangzhou Shi, Guangdong Sheng, China", "lat": "23.08947900", "lng": "113.35687600", "type": "edu", "country": "China"}, {"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"}], "year": "2018", "pdf": []}, {"id": "853fc1794892175e2318f55785ca8e2ce6fd7537", "title": "FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "ede5982980aa76deae8f9dc5143a724299d67742", "title": "Lightweight two-stream convolutional face detection", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570347567.pdf"]}, {"id": "5fa04523ff13a82b8b6612250a39e1edb5066521", "title": "Dockerface: an easy to install and use Faster R-CNN face detector in a Docker container", "addresses": [{"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/1708.04370.pdf"]}, {"id": "f9fb7979af4233c2dd14813da94ec7c38ce9232a", "title": "Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment", "addresses": [{"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"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1902.00607.pdf"]}, {"id": "68eb6e0e3660009e8a046bff15cef6fe87d46477", "title": "Multi-dropout regression for wide-angle landmark localization", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": []}, {"id": "9865fe20df8fe11717d92b5ea63469f59cf1635a", "title": "Wildest Faces: Face Detection and Recognition in Violent Settings", "addresses": [{"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}, {"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07566.pdf"]}, {"id": "637b31157386efbde61505365c0720545248fbae", "title": "Deep learning with time-frequency representation for pulse estimation from facial videos", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": []}, {"id": "7c825562b3ff4683ed049a372cb6807abb09af2a", "title": "Finding Tiny Faces Supplementary Materials", "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": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7c82/5562b3ff4683ed049a372cb6807abb09af2a.pdf"]}, {"id": "969fd48e1a668ab5d3c6a80a3d2aeab77067c6ce", "title": "End-To-End Face Detection and Recognition", "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10818.pdf"]}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02337.pdf"]}, {"id": "c7cd490e43ee4ff81e8f86f790063695369c2830", "title": "Use fast R-CNN and cascade structure for face detection", "addresses": [{"name": "Beijing FaceAll Co., Beijing, China", "source_name": "Beijing FaceAll Co. Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"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": "2016", "pdf": []}, {"id": "f27fd2a1bc229c773238f1912db94991b8bf389a", "title": "How do you develop a face detector for the unconstrained environment?", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": []}, {"id": "31b05f65405534a696a847dd19c621b7b8588263", "title": "UMDFaces: An annotated face dataset for training deep networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01484.pdf"]}, {"id": "3399f8f0dff8fcf001b711174d29c9d4fde89379", "title": "Face R-CNN", "addresses": [{"name": "Tencent", "source_name": "Tencent AI Lab, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01061.pdf"]}, {"id": "fb54d3c37dc82891ff9dc7dd8caf31de00c40d6a", "title": "Beauty and the Burst: Remote Identification of Encrypted Video Streams", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/c21b/ccf1ab4bb090fd5fc1109421a1a3979e7106.pdf"]}, {"id": "3fb4bf38d34f7f7e5b3df36de2413d34da3e174a", "title": "Persuasive Faces: Generating Faces in Advertisements", "addresses": [{"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09882.pdf"]}, {"id": "cde8186c38c04dacac2e1fac1c3c68cf46516b9f", "title": "Hierarchical Network for Facial Palsy Detection", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/cde8/186c38c04dacac2e1fac1c3c68cf46516b9f.pdf"]}, {"id": "f5eb411217f729ad7ae84bfd4aeb3dedb850206a", "title": "Tackling Low Resolution for Better Scene Understanding", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f5eb/411217f729ad7ae84bfd4aeb3dedb850206a.pdf"]}, {"id": "3a3e55cf5bfd689d6c922e082efa0cd71cd2ae5c", "title": "Face tracking with convolutional neural network heat-map", "addresses": [{"name": "Chonnam National University", "source_name": "Chonnam National University, Gwangju, Korea Rep.", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": []}, {"id": "7071cd1ee46db4bc1824c4fd62d36f6d13cad08a", "title": "Face Detection through Scale-Friendly Deep Convolutional Networks", "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": ["https://arxiv.org/pdf/1706.02863.pdf"]}, {"id": "dcf71245addaf66a868221041aabe23c0a074312", "title": "S^3FD: Single Shot Scale-Invariant Face Detector", "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"}, {"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": ["https://arxiv.org/pdf/1708.05237.pdf"]}, {"id": "1e9f1bbb751fe538dde9f612f60eb946747defaa", "title": "Identity-aware convolutional neural networks for facial expression recognition", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e9f/1bbb751fe538dde9f612f60eb946747defaa.pdf"]}, {"id": "d69271c7b77bc3a06882884c21aa1b609b3f76cc", "title": "FaceBoxes: A CPU real-time face detector with high accuracy", "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"}, {"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": ["https://arxiv.org/pdf/1708.05234.pdf"]}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"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"}], "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Whitelametal_IARPAJanusBenchmark-BFaceDataset_CVPRW17.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Whitelam_IARPA_Janus_Benchmark-B_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/Noblis_CVPRW_IJBB.pdf", "https://www.nist.gov/sites/default/files/documents/2017/05/30/readme.pdf"]}, {"id": "2e942d19333651bf6012374ea9e78d6937fd33ac", "title": "Detecting Faces Using Region-based Fully Convolutional Networks", "addresses": [{"name": "Tencent", "source_name": "Tencent AI Lab, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05256.pdf"]}, {"id": "657e702326a1cbc561e059476e9be4d417c37795", "title": "Face detection based on multi task learning and multi layer feature fusion", "addresses": [{"name": "SIASUN Robot and Automation, Shenyang, China", "source_name": "Shenyang SIASUN Robot & Automation Co., LTD., Shenyang, China", "street_adddress": "Shenyang, Liaoning, China", "lat": "41.80569900", "lng": "123.43147200", "type": "company", "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": "2017", "pdf": []}, {"id": "6afe1f668eea8dfdd43f0780634073ed4545af23", "title": "Deep learning for content-based video retrieval in film and television production", "addresses": [{"name": "German National Library of Science and Technology, Hannover, Germany", "source_name": "German National Library of Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}, {"name": "taglicht media Film- & Fernsehproduktion GmbH, K\u00f6ln, Germany", "source_name": "taglicht media Film- & Fernsehproduktion GmbH, K\u00f6ln, Germany", "street_adddress": "C\u00e4sarstra\u00dfe 58, 50968 K\u00f6ln, Germany", "lat": "50.90750920", "lng": "6.96616590", "type": "company", "country": "Germany"}], "year": "2017", "pdf": []}, {"id": "19458454308a9f56b7de76bf7d8ff8eaa52b0173", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1945/8454308a9f56b7de76bf7d8ff8eaa52b0173.pdf"]}, {"id": "0aa0e5f96d512fcd2357129ad4363d6ae961327e", "title": "Unsupervised Hard Example Mining from Videos for Improved Object Detection", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04285.pdf"]}, {"id": "d5d7e89e6210fcbaa52dc277c1e307632cd91dab", "title": "DOTA: A Large-scale Dataset for Object Detection in Aerial Images", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"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": "German Aerospace Center (DLR), Germany", "source_name": "German Aerospace Center (DLR), Germany", "street_adddress": "Linder H\u00f6he, 51147 K\u00f6ln, Germany", "lat": "50.85502400", "lng": "7.11949760", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10398.pdf"]}, {"id": "ed96f2eb1771f384df2349879970065a87975ca7", "title": "Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12302.pdf"]}, {"id": "b3b467961ba66264bb73ffe00b1830d7874ae8ce", "title": "Finding Tiny Faces", "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": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.04402.pdf"]}, {"id": "282503fa0285240ef42b5b4c74ae0590fe169211", "title": "Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07848.pdf"]}, {"id": "2f61d91033a06dd904ff9d1765d57e5b4d7f57a6", "title": "FCFD: Teach the machine to accomplish face detection step by step", "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": "2016", "pdf": []}, {"id": "4e6c17966efae956133bf8f22edeffc24a0470c1", "title": "Face Classification: A Specialized Benchmark Study", "addresses": [{"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"}, {"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"}, {"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4e6c/17966efae956133bf8f22edeffc24a0470c1.pdf"]}, {"id": "5d9f468a2841ea2f27bbe3ef2c6fe531d444be68", "title": "PT-NET: Improve object and face detection via a pre-trained CNN model", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"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": "2017", "pdf": []}, {"id": "fdcca639b96aa982ae67544f58c7e60be9d0748e", "title": "DFN: Dual Fusion Networks for Single Stage Face Detection", "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": []}, {"id": "59e9934720baf3c5df3a0e1e988202856e1f83ce", "title": "UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04136.pdf"]}, {"id": "25ff865460c2b5481fa4161749d5da8501010aa0", "title": "Seeing What is Not There: Learning Context to Determine Where Objects are Missing", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.07971.pdf"]}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "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"}, {"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": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"]}, {"id": "015df3b57e44b8ddc51c87e5255fa4940bd91963", "title": "DSFD: Dual Shot Face Detector", "addresses": [{"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10220.pdf"]}, {"id": "101d1cff1aa5590a1f79bc485cbfec094a995f74", "title": "Persuasive Faces: Generating Faces in Advertisements (Supplementary Material)", "addresses": [{"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/101d/1cff1aa5590a1f79bc485cbfec094a995f74.pdf"]}, {"id": "d3b0839324d0091e70ce34f44c979b9366547327", "title": "Precise Box Score: Extract More Information from Datasets to Improve the Performance of Face Detection", "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://arxiv.org/pdf/1804.10743.pdf"]}, {"id": "a065080353d18809b2597246bb0b48316234c29a", "title": "FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.03687.pdf"]}, {"id": "849f891973ad2b6c6f70d7d43d9ac5805f1a1a5b", "title": "ResNet Backbone Proposals Classification Loss Regression Loss Classification Loss Regression Loss RPN Classification Branch Box Regression Branch Conv Conv", "addresses": [{"name": "Tencent", "source_name": "Tencent AI Lab, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/849f/891973ad2b6c6f70d7d43d9ac5805f1a1a5b.pdf"]}, {"id": "0d760e7d762fa449737ad51431f3ff938d6803fe", "title": "LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05922.pdf"]}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": []}, {"id": "aab3561acbd19f7397cbae39dd34b3be33220309", "title": "Quantization Mimic: Towards Very Tiny CNN for Object Detection", "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": "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": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "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/1805.02152.pdf"]}, {"id": "fc8990088e0f1f017540900bc3f5a4996192ff05", "title": "Hierarchical bilinear network for high performance face detection", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}], "year": "2017", "pdf": []}, {"id": "8f71c97206a03c366ddefaa6812f865ac6df87e9", "title": "A face tracking framework based on convolutional neural networks and Kalman filter", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "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"}], "year": "2017", "pdf": []}, {"id": "de79437f74e8e3b266afc664decf4e6e4bdf34d7", "title": "To face or not to face: Towards reducing false positive of face detection", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": []}, {"id": "9ac43a98fe6fde668afb4fcc115e4ee353a6732d", "title": "Survey of Face Detection on Low-Quality Images", "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": "2018", "pdf": ["https://arxiv.org/pdf/1804.07362.pdf"]}, {"id": "c92bb26238f6e30196b0c4a737d8847e61cfb7d4", "title": "Beyond Context: Exploring Semantic Similarity for Tiny Face Detection", "addresses": [{"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": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"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": []}]}
\ No newline at end of file +{"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "dataset": {"key": "wider_face", "name_short": "WIDER FACE", "name_full": "Web Image Dataset for Event Recognition Face", "purpose": "face detection benchmark dataset", "url": "http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/", "downloaded": "N", "mp_pub": "N", "ft_share": "Y", "wild": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "parent": "wider", "child": "", "source": "", "usernames": "", "names": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "32,203 ", "videos": "", "identities": "0 ", "faces": "", "img_per_person": "", "num_cameras": "", "faces_persons": "393,703 ", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "derivative_of": "Y", "tags": "", "size_gb": "", "agreement": "NA", "agree_requied": "", "agreement_signed": "", "downloaded_from": "", "comment": "", "adam": "", "berit": "Y", "charlie": "", "notes": ""}, "paper": {"paper_id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "key": "wider_face", "title": "WIDER FACE: A Face Detection Benchmark", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06523.pdf"], "address": {"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": "WIDER FACE", "doi": []}, "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"}], "additional_papers": [], "citations": [{"id": "28646c6220848db46c6944967298d89a6559c700", "title": "It takes two to tango : Cascading off-the-shelf face detectors", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2864/6c6220848db46c6944967298d89a6559c700.pdf"]}, {"id": "def2983576001bac7d6461d78451159800938112", "title": "The Do\u2019s and Don\u2019ts for CNN-Based Face Verification", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07426.pdf"]}, {"id": "2d8001ffee6584b3f4d951d230dc00a06e8219f8", "title": "Feature Agglomeration Networks for Single Stage Face Detection", "addresses": [{"name": "Singapore Management University", "source_name": "Singapore Management University", "street_adddress": "Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore", "lat": "1.29500195", "lng": "103.84909214", "type": "edu", "country": "Singapore"}, {"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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00721.pdf"]}, {"id": "d8fbd3a16d2e2e59ce0cff98b3fd586863878dc1", "title": "Face detection and recognition for home service robots with end-to-end deep neural networks", "addresses": [{"name": "Futurewei Technologies Inc., Santa Clara, CA", "source_name": "Robotics Lab, Futurewei Technologies Inc., Santa Clara, USA", "street_adddress": "2330 Central Expy, Santa Clara, CA 95050, USA", "lat": "37.37344400", "lng": "-121.96487270", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002232.pdf"]}, {"id": "e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7", "title": "Toward End-to-End Face Recognition Through Alignment Learning", "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07174.pdf"]}, {"id": "4e30107ee6a2e087f14a7725e7fc5535ec2f5a5f", "title": "\u041f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u043d\u043e\u0432\u043e\u0441\u0442\u043d\u044b\u0445 \u0441\u044e\u0436\u0435\u0442\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0441\u043e\u0431\u044b\u0442\u0438\u0439\u043d\u044b\u0445 \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u0439 (News Stories Representation Using Event Photos)", "addresses": [{"name": "Lomonosov Moscow State University", "source_name": "Lomonosov Moscow State University", "street_adddress": "\u041c\u0413\u0423, \u0443\u043b\u0438\u0446\u0430 \u0410\u043a\u0430\u0434\u0435\u043c\u0438\u043a\u0430 \u0425\u043e\u0445\u043b\u043e\u0432\u0430, \u041c\u043e\u0441\u043a\u043e\u0432\u0441\u043a\u0438\u0439 \u0433\u043e\u0441\u0443\u0434\u0430\u0440\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u0438\u043c.\u00a0\u041c.\u00a0\u0412.\u00a0\u041b\u043e\u043c\u043e\u043d\u043e\u0441\u043e\u0432\u0430, \u0440\u0430\u0439\u043e\u043d \u0420\u0430\u043c\u0435\u043d\u043a\u0438, \u0417\u0430\u043f\u0430\u0434\u043d\u044b\u0439 \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u0438\u0432\u043d\u044b\u0439 \u043e\u043a\u0440\u0443\u0433, \u041c\u043e\u0441\u043a\u0432\u0430, \u0426\u0424\u041e, 119234, \u0420\u0424", "lat": "55.70229715", "lng": "37.53179777", "type": "edu", "country": "Russia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4e30/107ee6a2e087f14a7725e7fc5535ec2f5a5f.pdf"]}, {"id": "72cbbdee4f6eeee8b7dd22cea6092c532271009f", "title": "Masquer Hunter: Adversarial Occlusion-aware Face Detection", "addresses": [{"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": ["https://arxiv.org/pdf/1709.05188.pdf"]}, {"id": "bd236913cfe07896e171ece9bda62c18b8c8197e", "title": "Deep Learning with Energy-efficient Binary Gradient Cameras", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00986.pdf"]}, {"id": "e659221538d256b2c3e0724deff749eda903fc7d", "title": "Fine-Grained Head Pose Estimation Without Keypoints", "addresses": [{"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/1710.00925.pdf"]}, {"id": "acee2201f8a15990551804dd382b86973eb7c0a8", "title": "To boost or not to boost? On the limits of boosted trees for object detection", "addresses": [{"name": "University of California, San Diego", "source_name": "University of California, San Diego", "street_adddress": "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1701.01692.pdf"]}, {"id": "377f2b65e6a9300448bdccf678cde59449ecd337", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "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": ""}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1804.10275.pdf"]}, {"id": "6dbdb07ce2991db0f64c785ad31196dfd4dae721", "title": "Seeing Small Faces from Robust Anchor's Perspective", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09058.pdf"]}, {"id": "aa799d721f75510be236ac73f26ec92b0a89ab10", "title": "Computer Vision \u2013 ECCV 2018", "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"}, {"name": "Google Research, Zurich, Switzerland", "source_name": "Google Research, Zurich, Switzerland", "street_adddress": "Brandschenkestrasse 110, 8002 Z\u00fcrich, Switzerland", "lat": "47.36554640", "lng": "8.52483910", "type": "company", "country": "Switzerland"}, {"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": "2018", "pdf": []}, {"id": "f79e4ba09402adab54d2efadd1c4bfe4e20c5da5", "title": "A highly accurate facial region network for unconstrained face detection", "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"}], "year": "2017", "pdf": []}, {"id": "3c97c32ff575989ef2869f86d89c63005fc11ba9", "title": "Face Detection with the Faster R-CNN", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.03473.pdf"]}, {"id": "25c108a56e4cb757b62911639a40e9caf07f1b4f", "title": "Recurrent Scale Approximation for Object Detection in CNN", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09531.pdf"]}, {"id": "24d45df91ebcfac7a49cdfb7116e971e12880612", "title": "UNICITY: A depth maps database for people detection in security airlocks", "addresses": [{"name": "IDIAP Research Institute", "source_name": "IDIAP Research Institute", "street_adddress": "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.10923700", "lng": "7.08453549", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/24d4/5df91ebcfac7a49cdfb7116e971e12880612.pdf"]}, {"id": "7788fa76f1488b1597ee2bebc462f628e659f61e", "title": "A Privacy-Aware Architecture at the Edge for Autonomous Real-Time Identity Reidentification in Crowds", "addresses": [{"name": "University of Texas at San Antonio", "source_name": "University of Texas at San Antonio", "street_adddress": "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu", "country": "United States"}], "year": "2018", "pdf": []}, {"id": "e4e07f5f201c6986e93ddb42dcf11a43c339ea2e", "title": "Cross-pose landmark localization using multi-dropout framework", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": []}, {"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"]}, {"id": "beb49072f5ba79ed24750108c593e8982715498e", "title": "GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04932.pdf"]}, {"id": "15ee80e86e75bf1413dc38f521b9142b28fe02d1", "title": "Towards a deep learning framework for unconstrained face detection", "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": "2016", "pdf": ["https://arxiv.org/pdf/1612.05322.pdf"]}, {"id": "cd023d2d067365c83d8e27431e83e7e66082f718", "title": "Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks", "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"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1804.06039.pdf"]}, {"id": "438e7999c937b94f0f6384dbeaa3febff6d283b6", "title": "Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild", "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": "Jiangnan University", "source_name": "Jiangnan University", "street_adddress": "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "lat": "31.48542550", "lng": "120.27395810", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02402.pdf"]}, {"id": "35ccc836df60cd99c731412fe44156c7fd057b99", "title": "A cascade framework for masked face detection", "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"}, {"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": []}, {"id": "ac6c3b3e92ff5fbcd8f7967696c7aae134bea209", "title": "Deep Cascaded Bi-Network for Face Hallucination", "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": "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 California, Merced", "source_name": "University of California, Merced", "street_adddress": "University of California, Merced, Ansel Adams Road, Merced County, California, USA", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05046.pdf"]}, {"id": "4203f10b41e7931a63598989aa14478c04b725c9", "title": "Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.08263.pdf"]}, {"id": "cc70fb1ab585378c79a2ab94776723e597afe379", "title": "Detect face in the wild using CNN cascade with feature aggregation at multi-resolution", "addresses": [{"name": "Swansea University", "source_name": "Swansea University", "street_adddress": "Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": []}, {"id": "a896ddeb0d253739c9aaef7fc1f170a2ba8407d3", "title": "SSH: Single Stage Headless Face Detector", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03979.pdf"]}, {"id": "eb87151fd2796ff5b4bbcf1906d41d53ac6c5595", "title": "Enhanced face detection using body part detections for wearable cameras", "addresses": [{"name": "IBM Thomas J. Watson Research Center", "source_name": "IBM Thomas J. Watson Research Center", "street_adddress": "IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA", "lat": "41.21002475", "lng": "-73.80407056", "type": "company", "country": "United States"}], "year": "2016", "pdf": []}, {"id": "185263189a30986e31566394680d6d16b0089772", "title": "Efficient Annotation of Objects for Video Analysis", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1852/63189a30986e31566394680d6d16b0089772.pdf"]}, {"id": "19d4b3679294563247c126148912d44cbf03e40e", "title": "Value-Aware Resampling and Loss for Imbalanced Classification", "addresses": [{"name": "Guangdong University of Finance and Economics", "source_name": "Guangdong University of Finance and Economics, Guangzhou, China", "street_adddress": "21 Luntou Rd, Haizhu Qu, Guangzhou Shi, Guangdong Sheng, China", "lat": "23.08947900", "lng": "113.35687600", "type": "edu", "country": "China"}, {"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"}], "year": "2018", "pdf": []}, {"id": "853fc1794892175e2318f55785ca8e2ce6fd7537", "title": "FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "ede5982980aa76deae8f9dc5143a724299d67742", "title": "Lightweight two-stream convolutional face detection", "addresses": [{"name": "Aristotle University of Thessaloniki", "source_name": "Aristotle University of Thessaloniki", "street_adddress": "\u0391\u03c1\u03b9\u03c3\u03c4\u03bf\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u0395\u03b3\u03bd\u03b1\u03c4\u03af\u03b1, \u03a3\u03b1\u03c1\u03ac\u03bd\u03c4\u03b1 \u0395\u03ba\u03ba\u03bb\u03b7\u03c3\u03af\u03b5\u03c2, \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03c3\u03c4\u03c1\u03b9\u03b1, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u0394\u03ae\u03bc\u03bf\u03c2 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1 - \u0398\u03c1\u03ac\u03ba\u03b7, 54124, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "40.62984145", "lng": "22.95889350", "type": "edu", "country": "Greece"}], "year": "2017", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570347567.pdf"]}, {"id": "5fa04523ff13a82b8b6612250a39e1edb5066521", "title": "Dockerface: an easy to install and use Faster R-CNN face detector in a Docker container", "addresses": [{"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/1708.04370.pdf"]}, {"id": "f9fb7979af4233c2dd14813da94ec7c38ce9232a", "title": "Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment", "addresses": [{"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"}, {"name": "University of Michigan", "source_name": "University of Michigan", "street_adddress": "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1902.00607.pdf"]}, {"id": "68eb6e0e3660009e8a046bff15cef6fe87d46477", "title": "Multi-dropout regression for wide-angle landmark localization", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": []}, {"id": "9865fe20df8fe11717d92b5ea63469f59cf1635a", "title": "Wildest Faces: Face Detection and Recognition in Violent Settings", "addresses": [{"name": "Hacettepe University", "source_name": "Hacettepe University", "street_adddress": "Hacettepe \u00dcniversitesi Beytepe Kamp\u00fcs\u00fc, Hacettepe-Beytepe Kamp\u00fcs Yolu, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.86742125", "lng": "32.73519072", "type": "edu", "country": "Turkey"}, {"name": "Middle East Technical University", "source_name": "Middle East Technical University", "street_adddress": "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87549675", "lng": "32.78553506", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07566.pdf"]}, {"id": "637b31157386efbde61505365c0720545248fbae", "title": "Deep learning with time-frequency representation for pulse estimation from facial videos", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": []}, {"id": "7c825562b3ff4683ed049a372cb6807abb09af2a", "title": "Finding Tiny Faces Supplementary Materials", "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": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7c82/5562b3ff4683ed049a372cb6807abb09af2a.pdf"]}, {"id": "969fd48e1a668ab5d3c6a80a3d2aeab77067c6ce", "title": "End-To-End Face Detection and Recognition", "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10818.pdf"]}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"name": "University of Colorado, Colorado Springs", "source_name": "University of Colorado Colorado Springs", "street_adddress": "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02337.pdf"]}, {"id": "c7cd490e43ee4ff81e8f86f790063695369c2830", "title": "Use fast R-CNN and cascade structure for face detection", "addresses": [{"name": "Beijing FaceAll Co., Beijing, China", "source_name": "Beijing FaceAll Co. Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"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": "2016", "pdf": []}, {"id": "f27fd2a1bc229c773238f1912db94991b8bf389a", "title": "How do you develop a face detector for the unconstrained environment?", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": []}, {"id": "31b05f65405534a696a847dd19c621b7b8588263", "title": "UMDFaces: An annotated face dataset for training deep networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01484.pdf"]}, {"id": "3399f8f0dff8fcf001b711174d29c9d4fde89379", "title": "Face R-CNN", "addresses": [{"name": "Tencent", "source_name": "Tencent AI Lab, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01061.pdf"]}, {"id": "fb54d3c37dc82891ff9dc7dd8caf31de00c40d6a", "title": "Beauty and the Burst: Remote Identification of Encrypted Video Streams", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/c21b/ccf1ab4bb090fd5fc1109421a1a3979e7106.pdf"]}, {"id": "3fb4bf38d34f7f7e5b3df36de2413d34da3e174a", "title": "Persuasive Faces: Generating Faces in Advertisements", "addresses": [{"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09882.pdf"]}, {"id": "cde8186c38c04dacac2e1fac1c3c68cf46516b9f", "title": "Hierarchical Network for Facial Palsy Detection", "addresses": [{"name": "National Taiwan University of Science and Technology", "source_name": "National Taiwan University of Science and Technology", "street_adddress": "\u81fa\u79d1\u5927, 43, \u57fa\u9686\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u4e0b\u5167\u57d4, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10607, \u81fa\u7063", "lat": "25.01353105", "lng": "121.54173736", "type": "edu", "country": "Taiwan"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/cde8/186c38c04dacac2e1fac1c3c68cf46516b9f.pdf"]}, {"id": "f5eb411217f729ad7ae84bfd4aeb3dedb850206a", "title": "Tackling Low Resolution for Better Scene Understanding", "addresses": [{"name": "International Institute of Information Technology", "source_name": "International Institute of Information Technology", "street_adddress": "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "lat": "17.44549570", "lng": "78.34854698", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f5eb/411217f729ad7ae84bfd4aeb3dedb850206a.pdf"]}, {"id": "3a3e55cf5bfd689d6c922e082efa0cd71cd2ae5c", "title": "Face tracking with convolutional neural network heat-map", "addresses": [{"name": "Chonnam National University", "source_name": "Chonnam National University, Gwangju, Korea Rep.", "street_adddress": "77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.17611750", "lng": "126.90581670", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": []}, {"id": "7071cd1ee46db4bc1824c4fd62d36f6d13cad08a", "title": "Face Detection through Scale-Friendly Deep Convolutional Networks", "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": ["https://arxiv.org/pdf/1706.02863.pdf"]}, {"id": "dcf71245addaf66a868221041aabe23c0a074312", "title": "S^3FD: Single Shot Scale-Invariant Face Detector", "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"}, {"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": ["https://arxiv.org/pdf/1708.05237.pdf"]}, {"id": "1e9f1bbb751fe538dde9f612f60eb946747defaa", "title": "Identity-aware convolutional neural networks for facial expression recognition", "addresses": [{"name": "Tampere University of Technology", "source_name": "Tampere University of Technology", "street_adddress": "TTY, 10, Korkeakoulunkatu, Finninm\u00e4ki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, L\u00e4nsi- ja Sis\u00e4-Suomen aluehallintovirasto, L\u00e4nsi-Suomi, Manner-Suomi, 33720, Suomi", "lat": "61.44964205", "lng": "23.85877462", "type": "edu", "country": "Finland"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e9f/1bbb751fe538dde9f612f60eb946747defaa.pdf"]}, {"id": "d69271c7b77bc3a06882884c21aa1b609b3f76cc", "title": "FaceBoxes: A CPU real-time face detector with high accuracy", "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"}, {"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": ["https://arxiv.org/pdf/1708.05234.pdf"]}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "addresses": [{"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"}], "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Whitelametal_IARPAJanusBenchmark-BFaceDataset_CVPRW17.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Whitelam_IARPA_Janus_Benchmark-B_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/Noblis_CVPRW_IJBB.pdf", "https://www.nist.gov/sites/default/files/documents/2017/05/30/readme.pdf"]}, {"id": "2e942d19333651bf6012374ea9e78d6937fd33ac", "title": "Detecting Faces Using Region-based Fully Convolutional Networks", "addresses": [{"name": "Tencent", "source_name": "Tencent AI Lab, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05256.pdf"]}, {"id": "657e702326a1cbc561e059476e9be4d417c37795", "title": "Face detection based on multi task learning and multi layer feature fusion", "addresses": [{"name": "SIASUN Robot and Automation, Shenyang, China", "source_name": "Shenyang SIASUN Robot & Automation Co., LTD., Shenyang, China", "street_adddress": "Shenyang, Liaoning, China", "lat": "41.80569900", "lng": "123.43147200", "type": "company", "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": "2017", "pdf": []}, {"id": "6afe1f668eea8dfdd43f0780634073ed4545af23", "title": "Deep learning for content-based video retrieval in film and television production", "addresses": [{"name": "German National Library of Science and Technology, Hannover, Germany", "source_name": "German National Library of Science and Technology (TIB), Hannover, Germany", "street_adddress": "TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu", "country": "Germany"}, {"name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "L3S Research Center, Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Appelstra\u00dfe 9a, 30167 Hannover, Germany", "lat": "52.38844110", "lng": "9.71286530", "type": "edu", "country": "Germany"}, {"name": "taglicht media Film- & Fernsehproduktion GmbH, K\u00f6ln, Germany", "source_name": "taglicht media Film- & Fernsehproduktion GmbH, K\u00f6ln, Germany", "street_adddress": "C\u00e4sarstra\u00dfe 58, 50968 K\u00f6ln, Germany", "lat": "50.90750920", "lng": "6.96616590", "type": "company", "country": "Germany"}], "year": "2017", "pdf": []}, {"id": "19458454308a9f56b7de76bf7d8ff8eaa52b0173", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1945/8454308a9f56b7de76bf7d8ff8eaa52b0173.pdf"]}, {"id": "0aa0e5f96d512fcd2357129ad4363d6ae961327e", "title": "Unsupervised Hard Example Mining from Videos for Improved Object Detection", "addresses": [{"name": "University of Massachusetts", "source_name": "University of Massachusetts", "street_adddress": "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04285.pdf"]}, {"id": "d5d7e89e6210fcbaa52dc277c1e307632cd91dab", "title": "DOTA: A Large-scale Dataset for Object Detection in Aerial Images", "addresses": [{"name": "Wuhan University of Technology", "source_name": "Wuhan University of Technology", "street_adddress": "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "lat": "30.60903415", "lng": "114.35142840", "type": "edu", "country": "China"}, {"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": "German Aerospace Center (DLR), Germany", "source_name": "German Aerospace Center (DLR), Germany", "street_adddress": "Linder H\u00f6he, 51147 K\u00f6ln, Germany", "lat": "50.85502400", "lng": "7.11949760", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10398.pdf"]}, {"id": "ed96f2eb1771f384df2349879970065a87975ca7", "title": "Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization", "addresses": [{"name": "University of Toronto", "source_name": "University of Toronto", "street_adddress": "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12302.pdf"]}, {"id": "b3b467961ba66264bb73ffe00b1830d7874ae8ce", "title": "Finding Tiny Faces", "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": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.04402.pdf"]}, {"id": "282503fa0285240ef42b5b4c74ae0590fe169211", "title": "Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks", "addresses": [{"name": "Seoul National University", "source_name": "Seoul National University", "street_adddress": "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "lat": "37.26728000", "lng": "126.98411510", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07848.pdf"]}, {"id": "2f61d91033a06dd904ff9d1765d57e5b4d7f57a6", "title": "FCFD: Teach the machine to accomplish face detection step by step", "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": "2016", "pdf": []}, {"id": "4e6c17966efae956133bf8f22edeffc24a0470c1", "title": "Face Classification: A Specialized Benchmark Study", "addresses": [{"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"}, {"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"}, {"name": "Macau University of Science and Technology", "source_name": "Macau University of Science and Technology", "street_adddress": "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "lat": "22.15263985", "lng": "113.56803206", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4e6c/17966efae956133bf8f22edeffc24a0470c1.pdf"]}, {"id": "5d9f468a2841ea2f27bbe3ef2c6fe531d444be68", "title": "PT-NET: Improve object and face detection via a pre-trained CNN model", "addresses": [{"name": "Academy of Broadcasting Science, Beijing, China", "source_name": "Academy of Broadcasting Science, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"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": "2017", "pdf": []}, {"id": "fdcca639b96aa982ae67544f58c7e60be9d0748e", "title": "DFN: Dual Fusion Networks for Single Stage Face Detection", "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": []}, {"id": "59e9934720baf3c5df3a0e1e988202856e1f83ce", "title": "UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking", "addresses": [{"name": "Hanyang University", "source_name": "Hanyang University", "street_adddress": "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "lat": "37.55572710", "lng": "127.04366420", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04136.pdf"]}, {"id": "25ff865460c2b5481fa4161749d5da8501010aa0", "title": "Seeing What is Not There: Learning Context to Determine Where Objects are Missing", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.07971.pdf"]}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "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"}, {"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": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"]}, {"id": "015df3b57e44b8ddc51c87e5255fa4940bd91963", "title": "DSFD: Dual Shot Face Detector", "addresses": [{"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10220.pdf"]}, {"id": "101d1cff1aa5590a1f79bc485cbfec094a995f74", "title": "Persuasive Faces: Generating Faces in Advertisements (Supplementary Material)", "addresses": [{"name": "University of Pittsburgh", "source_name": "University of Pittsburgh", "street_adddress": "University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA", "lat": "40.44415295", "lng": "-79.96243993", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/101d/1cff1aa5590a1f79bc485cbfec094a995f74.pdf"]}, {"id": "d3b0839324d0091e70ce34f44c979b9366547327", "title": "Precise Box Score: Extract More Information from Datasets to Improve the Performance of Face Detection", "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://arxiv.org/pdf/1804.10743.pdf"]}, {"id": "a065080353d18809b2597246bb0b48316234c29a", "title": "FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.03687.pdf"]}, {"id": "849f891973ad2b6c6f70d7d43d9ac5805f1a1a5b", "title": "ResNet Backbone Proposals Classification Loss Regression Loss Classification Loss Regression Loss RPN Classification Branch Box Regression Branch Conv Conv", "addresses": [{"name": "Tencent", "source_name": "Tencent AI Lab, China", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/849f/891973ad2b6c6f70d7d43d9ac5805f1a1a5b.pdf"]}, {"id": "0d760e7d762fa449737ad51431f3ff938d6803fe", "title": "LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems", "addresses": [{"name": "UC San Diego", "source_name": "UC San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05922.pdf"]}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"name": "Electrical and Computer Engineering", "source_name": "Electrical and Computer Engineering", "street_adddress": "Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu", "country": "United States"}, {"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2018", "pdf": []}, {"id": "aab3561acbd19f7397cbae39dd34b3be33220309", "title": "Quantization Mimic: Towards Very Tiny CNN for Object Detection", "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": "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": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "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/1805.02152.pdf"]}, {"id": "fc8990088e0f1f017540900bc3f5a4996192ff05", "title": "Hierarchical bilinear network for high performance face detection", "addresses": [{"name": "Chinese Academy of Science", "source_name": "Chinese Academy of Science", "street_adddress": "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "lat": "39.91063270", "lng": "116.33563210", "type": "edu", "country": "China"}], "year": "2017", "pdf": []}, {"id": "8f71c97206a03c366ddefaa6812f865ac6df87e9", "title": "A face tracking framework based on convolutional neural networks and Kalman filter", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "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"}], "year": "2017", "pdf": []}, {"id": "de79437f74e8e3b266afc664decf4e6e4bdf34d7", "title": "To face or not to face: Towards reducing false positive of face detection", "addresses": [{"name": "University of Queensland", "source_name": "University of Queensland", "street_adddress": "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": []}, {"id": "9ac43a98fe6fde668afb4fcc115e4ee353a6732d", "title": "Survey of Face Detection on Low-Quality Images", "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": "2018", "pdf": ["https://arxiv.org/pdf/1804.07362.pdf"]}, {"id": "c92bb26238f6e30196b0c4a737d8847e61cfb7d4", "title": "Beyond Context: Exploring Semantic Similarity for Tiny Face Detection", "addresses": [{"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": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"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": []}]}
\ No newline at end of file |
