Merge branch 'master' of asdf.us:megapixels_dev

17 files changed, 23 insertions, 23 deletions

diff --git a/site/datasets/citations/coco.json b/site/datasets/citations/coco.json
index ea8d8731..f937db18 100644
--- a/site/datasets/citations/coco.json
+++ b/site/datasets/citations/coco.json
@@ -1 +1 @@
-{"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "paper": {"key": "coco", "name": "COCO", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "addresses": []}, "citations": [{"id": "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "title": "Asking for Help with the Right Question by Predicting Human Visual Performance", "addresses": [{"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebbc/4569b767323c5bf6917c0efdce5d172e721d.pdf"], "doi": []}, {"id": "133f1f2679892d408420d8092283539010723359", "title": "What Makes for Effective Detection Proposals?", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1502.05082.pdf"], "doi": []}, {"id": "e0ef2d1e9bcde8da814bf510a31ce3dc90919ed8", "title": "SHPD: Surveillance Human Pose Dataset and Performance Evaluation for Coarse-Grained Pose Estimation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451116", "http://doi.org/10.1109/ICIP.2018.8451116"]}, {"id": "55761bdf5cbbff5fbede8ee9d0573d1561a9254b", "title": "The Impact of Visual Saliency Prediction in Image Classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5576/1bdf5cbbff5fbede8ee9d0573d1561a9254b.pdf"], "doi": []}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "12a91c9d4a55fc93f15f4acef078c8908af3c9b9", "title": "Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance 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": "2017", "pdf": ["https://arxiv.org/pdf/1708.01642.pdf"], "doi": []}, {"id": "c32b66a9badc57e416cf15287c9c8861b264805b", "title": "Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models.", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01625.pdf"], "doi": []}, {"id": "02a4462e6c63007dda36ca5305f6b57d03f1316f", "title": "The Real-Time Detection of Traffic Participants Using YOLO Algorithm", "addresses": [{"name": "RT-RK, Institute for Computer Based Systems, Novi Sad, Serbia", "source_name": "RT-RK, Institute for Computer Based Systems, Novi Sad, Serbia", "street_adddress": "Narodnog fronta 23A, Novi Sad 21000, Serbia", "lat": "45.23963230", "lng": "19.83640040", "type": "edu", "country": "Serbia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611986"]}, {"id": "0754d3d8fbae668880a3eb91b2bce89543ea467e", "title": "Natural Language Driven Image Edits using a Semantic Image Manipulation Language (SIMPL)", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0754/d3d8fbae668880a3eb91b2bce89543ea467e.pdf"], "doi": []}, {"id": "47067114c681e93322a9152fe7ceb7a9178bb32b", "title": "Monitoring Scene Understanders with Conceptual Primitive Decomposition and Commonsense Knowledge", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4706/7114c681e93322a9152fe7ceb7a9178bb32b.pdf"], "doi": []}, {"id": "fbaceba60619d9f76f7acf6e639669cd6150049e", "title": "Automatic Semantic Content Removal by Learning to Neglect.", "addresses": [{"name": "University of California, Santa Cruz", "source_name": "University of California, Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07696.pdf"], "doi": []}, {"id": "b5cd9e5d81d14868f1a86ca4f3fab079f63a366d", "title": "Tag-based video retrieval by embedding semantic content in a continuous word space", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://ivi.fnwi.uva.nl/isis/publications/2016/AgharwalWCACV2016/AgharwalWCACV2016.pdf", "https://pure.uva.nl/ws/files/2779402/175913_AgharwalWCACV2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477706", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477706", "http://doi.org/10.1109/WACV.2016.7477706"]}, {"id": "6e3e5f5fac0bfe1d54d6d414a1a8c2d8de586eee", "title": "Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation.", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05206.pdf"], "doi": []}, {"id": "c486eeced06b1db66b7deb58496d71074b88fb86", "title": "ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch", "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": "2018", "pdf": ["https://arxiv.org/pdf/1810.08425.pdf"], "doi": []}, {"id": "a3c93737a4497350768b0dda08dbc0826670dc5b", "title": "Diagnosing State-Of-The-Art Object Proposal Methods", "addresses": [{"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.04512.pdf"], "doi": []}, {"id": "bc2856e70ad3c8fe439dec6cc6a2e03d6e090fb7", "title": "What value high level concepts in vision to language problems ?", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ffcc/bb8218b3af88fb7ea9dcd89557cd0156fba7.pdf"], "doi": []}, {"id": "365117e2e47b83ec70014058de13d167619094ad", "title": "Adaptive Object Detection Using Adjacency and Zoom Prediction", "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"}, {"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": "2016", "pdf": ["https://arxiv.org/pdf/1512.07711.pdf"], "doi": []}, {"id": "ad5950257e053b08657ea298f7b89ba358b8bfcf", "title": "Textually Enriched Neural Module Networks for Visual Question Answering", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08697.pdf"], "doi": []}, {"id": "01efec88d36070dc3bc49f341a77476f74d373bc", "title": "Generation and Comprehension of Unambiguous Object Descriptions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02283.pdf"], "doi": []}, {"id": "2c3e7392b865b228f5d56ab025cd3123554be5e1", "title": "Linguistic Unit Discovery from Multi-Modal Inputs in Unwritten Languages: Summary of the \u201cSpeaking Rosetta\u201d JSALT 2017 Workshop", "addresses": [{"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05092.pdf"], "doi": []}, {"id": "8b6493a65285fb72252221e7ef8ad1091bd96b32", "title": "TRAFFIC ANALYSIS USING VISUAL OBJECT DETECTION AND TRACKING", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"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://pdfs.semanticscholar.org/8b64/93a65285fb72252221e7ef8ad1091bd96b32.pdf"], "doi": []}, {"id": "7ce9e79cb63e33faa3be0c534664076e420dd7a1", "title": "Semantic Segmentation of Complex Road Environments from Aerial Images Using Convolutional Neural Networks", "addresses": [{"name": "US Army Engineer Research and Development Center, Vicksburg, MS", "source_name": "Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States", "street_adddress": "3909 Halls Ferry Rd, Vicksburg, MS 39180, USA", "lat": "32.30127170", "lng": "-90.87140670", "type": "mil", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622284", "http://doi.org/10.1109/BigData.2018.8622284"]}, {"id": "2281d8282dc6315eaa5c31821310c1a349ea18b0", "title": "Fast Efficient Object Detection Using Selective Attention", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"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/1811.07502.pdf"], "doi": []}, {"id": "7bfa04eb7ba2830a682a15206370abec49cffd2a", "title": "Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05040.pdf"], "doi": []}, {"id": "0871062654a6ddd18dba940009676aaa1230f879", "title": "Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04535.pdf"], "doi": []}, {"id": "ce142b327974580b297fb84c2c1c799f838bdda5", "title": "VADRA: Visual Adversarial Domain Randomization and Augmentation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00491.pdf"], "doi": []}, {"id": "6b6afc9557dc0670bf2792bde4c4389ac52c707f", "title": "What Action Causes This? Towards Naive Physical Action-Effect Prediction", "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"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fa4f/7ec0d1a3e67c6170638a9502cbad81873b9c.pdf"], "doi": []}, {"id": "1536579229a334640735725e0b886f8d03aca1e8", "title": "Rank of Experts: Detection Network Ensemble", "addresses": [{"name": "Incheon National University", "source_name": "Incheon National University, Incheon, South Korea", "street_adddress": "119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea", "lat": "37.37505480", "lng": "126.63289980", "type": "edu", "country": "South Korea"}, {"name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "source_name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00185.pdf"], "doi": []}, {"id": "19441b8be551e8134dd9eb33238309bc2de0a42f", "title": "Playing for Benchmarks", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07322.pdf"], "doi": []}, {"id": "597bca76d9c983f0b71ff1143d80ea91bf97cb25", "title": "Semi-automatic video object segmentation by advanced manipulation of segmentation hierarchies", "addresses": [{"name": "Disney Research Zurich", "source_name": "Disney Research Zurich", "street_adddress": "Stampfenbachstrasse 48, 8006 Z\u00fcrich, Switzerland", "lat": "47.38047690", "lng": "8.54299640", "type": "company", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.disneyresearch.com/wp-content/uploads/Semi-Automatic-Video-Object-Segmentation-by-Advanced-Manipulation-of-Segmentation-Hierarchies-Paper.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150605225535/Semi-Automatic-Video-Object-Segmentation-by-Advanced-Manipulation-of-Segmentation-Hierarchies-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153600", "http://doi.org/10.1109/CBMI.2015.7153600"]}, {"id": "db7e48d2655521c1a89b579d8cb839a95d6e6a14", "title": "Boosted Attention: Leveraging Human Attention for Image Captioning", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/db7e/48d2655521c1a89b579d8cb839a95d6e6a14.pdf"], "doi": []}, {"id": "28bf62416b5b0f3ca87332b83c3944f515505f66", "title": "Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12348.pdf"], "doi": []}, {"id": "3081b725e1764ec754bee1fe5487000b7adf7936", "title": "Slum Segmentation and Change Detection : A Deep Learning Approach", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07896.pdf"], "doi": []}, {"id": "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "title": "Training Deep Networks with Structured Layers by Matrix Backpropagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.07838.pdf"], "doi": []}, {"id": "c32b09f20badd9ce04309d7c5ebea88336a3345a", "title": "Token-level and sequence-level loss smoothing for RNN language models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05062.pdf"], "doi": []}, {"id": "4cb2d5ea093d52a9dbb5141bde20cbea576efa24", "title": "A cascaded long short-term memory (LSTM) driven generic visual question answering (VQA)", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296600", "http://doi.org/10.1109/ICIP.2017.8296600"]}, {"id": "c45681fa9d9c36a6a196017ef283ac38904f91bb", "title": "Pixel-wise object tracking", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07377.pdf"], "doi": []}, {"id": "27e15e5ae496a228653b69195e7d62a758b73cfa", "title": "Adversarial Removal of Gender from Deep Image Representations", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08489.pdf"], "doi": []}, {"id": "eddd45f8b2febf3800db7642357731cb63116acc", "title": "On the Effects of Spam Filtering and Incremental Learning for Web-Supervised Visual Concept Classification", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Welfengarten 1, 30167 Hannover, Germany", "lat": "52.38296410", "lng": "9.71969890", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912072"]}, {"id": "f2653257faa6d1b718a4cff004f4c7ad66d89c55", "title": "Advances in deep learning approaches for image tagging", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f265/3257faa6d1b718a4cff004f4c7ad66d89c55.pdf"], "doi": []}, {"id": "5b610d9492a940d3e64bbf0cea8de4622e07d8b4", "title": "Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06193.pdf"], "doi": []}, {"id": "0ab65b963f8b71e31bfec188056023147f75303e", "title": "SPNet: Superpixel Pyramid Network for Scene Parsing", "addresses": [{"name": "Beijing University of Technologyy", "source_name": "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "street_adddress": "Chaoyang, China, 100124", "lat": "39.87161100", "lng": "116.47952900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623025"]}, {"id": "98025d3d44e9379736adb1228919272ded9298ae", "title": "Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps", "addresses": [{"name": "Tokyo Institute of Technology", "source_name": "Tokyo Institute of Technology", "street_adddress": "\u6771\u4eac\u5de5\u696d\u5927\u5b66, \u539a\u6728\u8857\u9053, \u7dd1\u533a, \u753a\u7530\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 226-0026, \u65e5\u672c", "lat": "35.51675380", "lng": "139.48342251", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9802/5d3d44e9379736adb1228919272ded9298ae.pdf"], "doi": []}, {"id": "eea248baa16162da661fbb9255e2cfcd5b9f0c05", "title": "Bachelor Project Image Captioning with Convolutional Neural Networks", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eea2/48baa16162da661fbb9255e2cfcd5b9f0c05.pdf"], "doi": []}, {"id": "cc5d91b20c8769d1f040ff9a5166f76cc19d2d55", "title": "Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces", "addresses": [{"name": "CVIT, KCIS, IIIT Hyderabad, India", "source_name": "CVIT, KCIS, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.08631.pdf"], "doi": []}, {"id": "233b52f79d37363d924041e047c6b9d9609cbb17", "title": "Refining faster-RCNN for accurate object detection", "addresses": [{"name": "Kakao Corp.", "source_name": "Kakao corp., 242, Cheomdan-ro, Jeju-si, Jeju-do, Korea", "street_adddress": "242 Cheomdan-ro, Ara-dong, Cheju, Jeju-do, South Korea", "lat": "33.45073890", "lng": "126.57079340", "type": "company", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986913"]}, {"id": "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "title": "Zero-Shot Object Detection", "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"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04340.pdf"], "doi": []}, {"id": "2d541bf669dda499f86b4dd2ac4e263134a3cd4c", "title": "Pixel Objectness", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05349.pdf"], "doi": []}, {"id": "b9dc8cc479cacda1f23b91df00eb03f88cc0c260", "title": "Event Specific Multimodal Pattern Mining for Knowledge Base Construction", "addresses": [{"name": "Columbia Univeristy, New York, NY, USA", "source_name": "Columbia Univeristy, New York, NY, USA", "street_adddress": "116th St & Broadway, New York, NY 10027, United States", "lat": "40.80753550", "lng": "-73.96257270", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2964287"]}, {"id": "9528e2e8c20517ab916f803c0371abb4f0ed488b", "title": "Shallow and Deep Convolutional Networks for Saliency Prediction", "addresses": [{"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00845.pdf"], "doi": []}, {"id": "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "title": "Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10800.pdf"], "doi": []}, {"id": "98735e57075ed6e8ef9d98d7ca4895013492e35b", "title": "Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation", "addresses": [{"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.10307.pdf"], "doi": []}, {"id": "36679b7ea9eb8418410db7a6e2f15aeaf1b8e059", "title": "Weakly Supervised Vehicle Detection in Satellite Images via Multiple Instance Ranking", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546267", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546267", "http://doi.org/10.1109/ICPR.2018.8546267"]}, {"id": "0e0fbead3da9e16b03894b63efc6816fa3ef6d0e", "title": "Open-vocabulary Phrase Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07212.pdf"], "doi": []}, {"id": "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "title": "End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "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"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51f5/e7b847e65a4cd0634ed9efc6b19819742b70.pdf"], "doi": []}, {"id": "18f9a6045ba01cb079c4fa49a630d71bbd27cd92", "title": "A dataset of clinically generated visual questions and answers about radiology images", "addresses": [{"name": "Lister Hill National Center for Biomedical Communications", "source_name": "Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA", "street_adddress": "8600 Rockville Pike, Bethesda, MD 20894, USA", "lat": "38.99595080", "lng": "-77.09883230", "type": "gov", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/18f9/a6045ba01cb079c4fa49a630d71bbd27cd92.pdf"], "doi": []}, {"id": "1aac36122c07ecccfd59d912c22865801f096190", "title": "Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}, {"name": "University of Copenhagen", "source_name": "University of Copenhagen", "street_adddress": "K\u00f8benhavns Universitet, Krystalgade, K\u00f8dbyen, Vesterbro, K\u00f8benhavn, K\u00f8benhavns Kommune, Region Hovedstaden, 1165, Danmark", "lat": "55.68015020", "lng": "12.57232700", "type": "edu", "country": "Denmark"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03827.pdf"], "doi": []}, {"id": "4c7659079b3df5bc746f76b2b1685b0b539832d6", "title": "Domain Adaptive Faster R-CNN for Object Detection in the Wild", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03243.pdf"], "doi": []}, {"id": "3e16de062b9cdeecfcbda0de022f1fc4e741a2e6", "title": "Learning Visually-Grounded Semantics from Contrastive Adversarial Samples", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": ["https://arxiv.org/pdf/1806.10348.pdf"], "doi": []}, {"id": "838420cebfdad4e93221f8fe203c09155983141a", "title": "Subspace Alignment Based Domain Adaptation for RCNN Detector", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.05578.pdf"], "doi": []}, {"id": "80eab89ff1c5c2cfc1ea62e2088cfc9b62de8d35", "title": "Emergent Translation in Multi-Agent Communication", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06922.pdf"], "doi": []}, {"id": "d983ce0a7d249bb85d14a66a89225a7136cc783b", "title": "A Single-shot Object Detector with Feature Aggragation and Enhancement", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02923.pdf"], "doi": []}, {"id": "e05b4f3757a3b33324e96f8b9b71e7d4eb5a1fa9", "title": "Controllable Top-down Feature Transformer", "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": "2017", "pdf": ["https://arxiv.org/pdf/1712.02400.pdf"], "doi": []}, {"id": "35498b80ee457e409c0962e03a6e170a917c83af", "title": "Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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": "2017", "pdf": ["https://arxiv.org/pdf/1703.05446.pdf"], "doi": []}, {"id": "ba7890a5e9e51bf6181cc3c03144796cb3e5e254", "title": "Query : \" A man in a red sweatshirt performing breakdance \"", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba78/90a5e9e51bf6181cc3c03144796cb3e5e254.pdf"], "doi": []}, {"id": "24ff2797234e26bb2ffd4558eb4412df0625687e", "title": "Mind Your Language: Abuse and Offense Detection for Code-Switched Languages", "addresses": [{"name": "Adobe Systems", "source_name": "Adobe Systems", "street_adddress": "343 Preston St, Ottawa, ON K1S 1N4, Canada", "lat": "45.40242130", "lng": "-75.70955410", "type": "edu", "country": "South Korea"}, {"name": "IIIT, Delhi", "source_name": "IIIT, Delhi", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08652.pdf"], "doi": []}, {"id": "d31d4bb58f5dd67016e77352ac7600e2ba71e38f", "title": "Deep Learning Object Detection Methods for Ecological Camera Trap Data", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10842.pdf"], "doi": []}, {"id": "faf73a84c9ce13cdfc9014fa89ecde9927c8c84a", "title": "Meta Networks for Neural Style Transfer", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.04111.pdf"], "doi": []}, {"id": "0020784920bf7ff6cb51d0b6061b99fd77161c3e", "title": "Learning Instance-Aware Object Detection Using Determinantal Point Processes", "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/1805.10765.pdf"], "doi": []}, {"id": "d7ed61f57d26c192a75d088854d937d549efa37c", "title": "A Multi-Layer Approach to Superpixel-based Higher-order Conditional Random Field for Semantic Image Segmentation", "addresses": [{"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02032.pdf"], "doi": []}, {"id": "528d1ad4725277b25f17c951c7aa637f58da1c9e", "title": "Text and Object Detection on Billboards", "addresses": [{"name": "Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand", "source_name": "Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand", "street_adddress": "1 Thanon Chalong Krung, Lat Krabang, Khet Lat Krabang, Krung Thep Maha Nakhon 10520, Thailand", "lat": "13.73095530", "lng": "100.78117740", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8534879", "http://doi.org/10.1109/iciteed.2018.8534879"]}, {"id": "0c5f9f5083b9fca4dcdbc4b122099ac1f630728b", "title": "Visual Semantic Role Labeling", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04474.pdf"], "doi": []}, {"id": "f4af49a1ead3c81cc5d023878cb67c5646dd8a04", "title": "Learning a Recurrent Visual Representation for Image Caption Generation", "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": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.5654.pdf"], "doi": []}, {"id": "73b5261948b9b1e998bc84edf061efd354dac479", "title": "Watching the TV Watchers", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3214291"]}, {"id": "9d27197ecc73ac0c3a664499c62975068251bf9c", "title": "Studying Object Naming with Online Photos and Caption", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "NICTA / Australian National University", "source_name": "NICTA / Australian National University, Canberra, Australia", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814817"]}, {"id": "72d7c465ef199a9670b3da7a318b0227f5cc3229", "title": "Visual Referring Expression Recognition: What Do Systems Actually Learn?", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11818.pdf"], "doi": []}, {"id": "2c761495cf3dd320e229586f80f868be12360d4e", "title": "Revisiting Unreasonable Effectiveness of Data in Deep Learning Era", "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": "2017", "pdf": ["https://arxiv.org/pdf/1707.02968.pdf"], "doi": []}, {"id": "c0006a2268d299644e9f1b455601bcbe89ddc2b5", "title": "Semantic Video Segmentation by Gated Recurrent Flow Propagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.08871.pdf"], "doi": []}, {"id": "52a08919efb7a1d0f28eda82bacd9d495639a6b3", "title": "Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04794.pdf"], "doi": []}, {"id": "96fdc0131dc80ffa6d7b9c526e07f080414c54ec", "title": "1 Paying More A ention to Saliency : Image Captioning with Saliency and Context A ention", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}, {"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96fd/c0131dc80ffa6d7b9c526e07f080414c54ec.pdf"], "doi": []}, {"id": "59d0d7ccec2db66cad20cac5721ce54a8a058294", "title": "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.05877.pdf"], "doi": []}, {"id": "cb8f0d0e529e27c67f04e748266f084c07679755", "title": "Scene Image Synthesis from Natural Sentences Using Hierarchical Syntactic Analysis", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967193"]}, {"id": "a875c22ca30a99a013d728313420e418e398fafd", "title": "Strong-Weak Distribution Alignment for Adaptive Object Detection.", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04798.pdf"], "doi": []}, {"id": "eb7ddda1bfa709497af9d0b2010d61d659a1816f", "title": "Training CNNs from Synthetic Data for Part Handling in Industrial Environments", "addresses": [{"name": "BTU Cottbus-Senftenberg, Cottbus, Germany", "source_name": "BTU Cottbus-Senftenberg, Chair of Automation Technology, Cottbus, Germany", "street_adddress": "Platz der Deutschen Einheit 1, 03046 Cottbus, Germany", "lat": "51.76698700", "lng": "14.32695000", "type": "edu", "country": "Germany"}, {"name": "Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany", "source_name": "Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany", "street_adddress": "Stuttgarter Str. 90, 70736 Fellbach, Germany", "lat": "48.81313800", "lng": "9.26374900", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560470", "http://doi.org/10.1109/COASE.2018.8560470"]}, {"id": "3f93ad8732ed2e92f09536ad744d1111cab93522", "title": "Weakly Supervised Attention Learning for Textual Phrases Grounding", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00545.pdf"], "doi": []}, {"id": "1c5b168c29d1c8b3dc753865c741b9f3c56d0555", "title": "Auto-Encoding Scene Graphs for Image Captioning", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02378.pdf"], "doi": []}, {"id": "20af3b2a011eabfdc3021a5e78995c5ce592575c", "title": "Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment", "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"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552556", "http://doi.ieeecomputersociety.org/10.1109/TBDATA.2016.2602231", "http://doi.org/10.1109/TBDATA.2016.2602231"]}, {"id": "193a69489230de1013dff9af1232e5379cc5282f", "title": "Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia", "source_name": "Integrated Management Coastal Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/193a/69489230de1013dff9af1232e5379cc5282f.pdf"], "doi": []}, {"id": "f9f01af981f8d25f0c96ea06d88be62dabb79256", "title": "Terahertz Image Detection with the Improved Faster Region-Based Convolutional Neural Network", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f9f0/1af981f8d25f0c96ea06d88be62dabb79256.pdf"], "doi": []}, {"id": "3b8a3b4ed02a15b2ba329727596b704889123a39", "title": "Deep affordance learning for single- and multiple-instance object detection", "addresses": [{"name": "Institute for Infocomm Research Agency for Science, Technology and Research (A\u2217STAR) 1 Fusionopolis Way, #21-01 Connexis (South Tower) Singapore 138632", "source_name": "Institute for Infocomm Research Agency for Science, Technology and Research (A\u2217STAR) 1 Fusionopolis Way, #21-01 Connexis (South Tower) Singapore 138632", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://oar.a-star.edu.sg/jspui/bitstream/123456789/2242/1/1570379510(2).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227883"]}, {"id": "ade2266f249f91767b0949ae600fe1048237e567", "title": "Maya Codical Glyph Segmentation: A Crowdsourcing Approach", "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": ["http://publications.idiap.ch/downloads/papers/2017/Can_IEEETMM_2017.pdf", "http://publications.idiap.ch/downloads/reports/2016/Can_Idiap-RR-01-2017.pdf", "http://publications.idiap.ch/downloads/reports/2017/Can_Idiap-RR-01-2017.pdf", "https://infoscience.epfl.ch/record/225945/files/Can_Idiap-RR-01-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048535", "http://doi.org/10.1109/TMM.2017.2755985"]}, {"id": "989282f579fdca0ebdc890cf05cac88c29f9eb49", "title": "Benchmarking and Error Diagnosis in Multi-instance Pose Estimation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05388.pdf"], "doi": []}, {"id": "403537a81f9c295ab5770fd82abe4f7542be9200", "title": "Driver Pose Estimation by Hybrid Convolutional Network Architecture", "addresses": [{"name": "National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, China", "source_name": "National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, Shaanxi, 710049, China", "street_adddress": "Jiaoda Commerce Block, Beilin, Xi'an, Shaanxi, China, 710049", "lat": "34.24845540", "lng": "108.98873940", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623392"]}, {"id": "1695d0112d2e2c6df8bbe1d6abe18a457eba90dc", "title": "Classification of Crash and Near-Crash Events from Dashcam Videos and Telematics", "addresses": [{"name": "Verizon Connect Research, Florence, Italy", "source_name": "Verizon Connect Research, via Paisiello 16-20, Florence, 50144, Italy", "street_adddress": "Via Giovanni Paisiello, 20, 50144 Firenze FI, Italy", "lat": "43.78205540", "lng": "11.23259400", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569952", "http://doi.org/10.1109/ITSC.2018.8569952"]}, {"id": "2fc6647858a1c7d6f51c4c57368e50677f30c0a9", "title": "Simultaneous object detection and localization using convolutional neural networks", "addresses": [{"name": "Mohammed V University in Rabat", "source_name": "LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco", "street_adddress": "Angle avenues des FAR et Allal El Fassi, Hay Ryad, B.P. 8027 N.U.\u060c Rabat 10102, Morocco", "lat": "33.97023350", "lng": "-6.87447300", "type": "edu", "country": "Morocco"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354045"]}, {"id": "4066f186ff58d300090c652925ed0aed3355efec", "title": "Solving Visual Madlibs with Multiple Cues", "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": "2016", "pdf": ["https://arxiv.org/pdf/1608.03410.pdf"], "doi": []}, {"id": "5de5848dc3fc35e40420ffec70a407e4770e3a8d", "title": "WebVision Database: Visual Learning and Understanding from Web Data", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02862.pdf"], "doi": []}, {"id": "7897f6a19d5211bf6387f5c9e141c90a0cc84566", "title": "One-shot Texture Segmentation", "addresses": [{"name": "University of T\u00fcbingen", "source_name": "University of T\u00fcbingen", "street_adddress": "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "lat": "48.52947820", "lng": "9.04377400", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02654.pdf"], "doi": []}, {"id": "947f2d465df60ec49f441f02733edbeb81dde2f2", "title": "Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03517.pdf"], "doi": []}, {"id": "5b1e42e0ff78880dccdf4d90cfd5c6e3e577f923", "title": "Deep Feature Pyramid Reconfiguration 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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07993.pdf"], "doi": []}, {"id": "d7221695df4de3f34d5e4a877b71c14bc88760d2", "title": "Proposal Incorporating Structural Bias into Neural Networks", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/d722/1695df4de3f34d5e4a877b71c14bc88760d2.pdf"], "doi": []}, {"id": "dc5fc803b64b49217babab378efe29f35b697d2f", "title": "Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"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"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-017-1752-9"]}, {"id": "4f69ad0e52e37ba06db1c2b89c180f3ba331cc4a", "title": "Automatic Generation of Grounded Visual Questions", "addresses": [{"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}, {"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06530.pdf"], "doi": []}, {"id": "8060ae8621a20e5cbf6e974aab12ad34c37e9651", "title": "Intelligent surveillance system for abandoned luggage", "addresses": [{"name": "Orta Do\u011fu Teknik \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Kuzey K\u0131br\u0131s Kamp\u00fcs\u00fc, Kalkanl\u0131, Kuzey K\u0131br\u0131s", "street_adddress": "Kalkanl\u0131, G\u00fczelyurt", "lat": "35.24908700", "lng": "33.02407600", "type": "edu", "country": "Turkey"}, {"name": "Elektrik - Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Kuzey K\u0131br\u0131s Kamp\u00fcs\u00fc, Kalkanl\u0131, Kuzey K\u0131br\u0131s", "source_name": "Elektrik - Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Kuzey K\u0131br\u0131s Kamp\u00fcs\u00fc, Kalkanl\u0131, Kuzey K\u0131br\u0131s", "street_adddress": "Kalkanl\u0131, G\u00fczelyurt", "lat": "35.24908700", "lng": "33.02407600", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404327", "http://doi.org/10.1109/SIU.2018.8404327"]}, {"id": "87fa9d667f8f41eb04831356dc8d68b190693e5e", "title": "Chat-crowd: A Dialog-based Platform for Visual Layout Composition", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04081.pdf"], "doi": []}, {"id": "250c0c37947d6dc32e1923c8df99bf64dc5d7e10", "title": "Implicit Negative Sub-Categorization and Sink Diversion for Object Detection", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8125749", "http://doi.org/10.1109/TIP.2017.2779270", "https://www.ncbi.nlm.nih.gov/pubmed/29324412", "https://www.wikidata.org/entity/Q50087459"]}, {"id": "9bda68ea52bddf5365e3230761c95424ff1ddec5", "title": "SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9bda/68ea52bddf5365e3230761c95424ff1ddec5.pdf"], "doi": []}, {"id": "b674dae73fcb236ee951d8ae8a36be527d232678", "title": "A sequential guiding network with attention for image captioning", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00228.pdf"], "doi": []}, {"id": "9ded64e83d3ba51513ea00de27c0c770a02b0cf4", "title": "Image Classification using Transfer Learning from Siamese Networks based on Text Metadata Similarity", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9ded/64e83d3ba51513ea00de27c0c770a02b0cf4.pdf"], "doi": []}, {"id": "5fedae3bccf86052ed725e5925bb4ef47f9389c1", "title": "Word Prior Detection Segmentation Input \" The left guy \" Image : Query : a guy left the youth Energy", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5fed/ae3bccf86052ed725e5925bb4ef47f9389c1.pdf"], "doi": []}, {"id": "5d1d45c89ec13f3b0a83078759bb1dfbac695102", "title": "Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map", "addresses": [{"name": "PSL Research University", "source_name": "MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France", "street_adddress": "60 Boulevard Saint-Michel, 75006 Paris, France", "lat": "48.84496370", "lng": "2.33961050", "type": "edu", "country": "France"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438559"]}, {"id": "8e368144360042aad69703a6bffd56e1e72f2af4", "title": "Revisiting Graph Construction for Fast Image Segmentation", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Colorado, Denver", "source_name": "University of Colorado Denver", "street_adddress": "University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA", "lat": "39.74287785", "lng": "-105.00596398", "type": "edu", "country": "United States"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.05650.pdf"], "doi": []}, {"id": "82317f5ac40e982b8ec5b2634f1214db259ca325", "title": "Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation", "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": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08948.pdf"], "doi": []}, {"id": "205e895e03969c96f3c482b0bd26308b16a12bd0", "title": "Image Captioning with an Intermediate Attributes Layer", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/205e/895e03969c96f3c482b0bd26308b16a12bd0.pdf"], "doi": []}, {"id": "8b485d7683e54d2b9c5d5ddf4ed31770bb323dbe", "title": "Hybrid Task Cascade for Instance Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"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"}, {"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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "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": "2019", "pdf": ["https://arxiv.org/pdf/1901.07518.pdf"], "doi": []}, {"id": "637648198f9e91654ce27eaaa40512f2dc870fc1", "title": "Survey of Visual Question Answering: Datasets and Techniques", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03865.pdf"], "doi": []}, {"id": "b99588bd0393a60a0c627970ab6cab7338d08ca6", "title": "Semantic segmentation based on iterative contraction and merging", "addresses": [{"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296488", "http://doi.org/10.1109/ICIP.2017.8296488"]}, {"id": "bb127015474fdc51d4cd6b4dda7176a8c778ea49", "title": "Examining the Impact of Blur on Recognition by Convolutional Networks.", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05760.pdf"], "doi": []}, {"id": "e10ca043fae02972f19292efacddd8e0f216b70c", "title": "Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06049.pdf"], "doi": []}, {"id": "030ab7710a1307cfa2159686dabd07e2b239fb10", "title": "Crowd-Guided Ensembles: How Can We Choreograph Crowd Workers for Video Segmentation?", "addresses": [{"name": "Massachusetts Institute of Technology & ETH Z\u00fcrich", "source_name": "Massachusetts Institute of Technology & ETH Z\u00fcrich, Cambridge, MA, USA", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Qatar Computing Research Institute, Doha, Qatar", "source_name": "Qatar Computing Research Institute, Doha, Qatar", "street_adddress": "Ar-Rayyan, Qatar", "lat": "25.32159140", "lng": "51.42577380", "type": "company", "country": "Qatar"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3173685"]}, {"id": "a3d96844dc4fc3b51f3b8361c72f156800794251", "title": "BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01640.pdf"], "doi": []}, {"id": "cf2ab0e639c19877596036603a3000ce7a1deb35", "title": "Self-supervised Learning of Motion Capture", "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": "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": "2017", "pdf": ["https://arxiv.org/pdf/1712.01337.pdf"], "doi": []}, {"id": "8a12540c85c6835eb6fd36131107d82c50d2b8d0", "title": "Dense Image Representation with Spatial Pyramid VLAD Coding of CNN for Locally Robust Captioning", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09046.pdf"], "doi": []}, {"id": "697f0e24f24b016cef9474db485fe61a667f07b8", "title": "VISER: Visual Self-Regularization", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research", "source_name": "Yahoo Research, USA", "street_adddress": "1680 N Glenville Dr # 100, Richardson, TX 75081, USA", "lat": "32.97000100", "lng": "-96.70543110", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02568.pdf"], "doi": []}, {"id": "9138045b7164876f9c2d6c5891d1f3d13a147d84", "title": "Combining Weakly and Webly Supervised Learning for Classifying Food Images", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08730.pdf"], "doi": []}, {"id": "0ee3aa2a78f9680bb65a823bd9195c879572ec1c", "title": "What Makes an Object Memorable?", "addresses": [{"name": "King Abdullah University of Science and Technology", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"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": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_memorability.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Dubey_What_Makes_an_ICCV_2015_paper.pdf", "http://people.csail.mit.edu/khosla/papers/iccv2015_dubey.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Dubey_What_Makes_an_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410487", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.130", "http://doi.org/10.1109/ICCV.2015.130"]}, {"id": "bddf7da5a21a5d1915cc9ee784223adadbe0aec4", "title": "Question action relevance and editing for visual question answering", "addresses": [{"name": "George Mason University", "source_name": "George Mason University", "street_adddress": "George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA", "lat": "38.83133325", "lng": "-77.30798839", "type": "edu", "country": "United States"}, {"name": "Dipartimento di Informatica, Universit\u00e0 di Salerno, Fisciano, Italy", "source_name": "Dipartimento di Informatica, Universit\u00e0 di Salerno, Fisciano, Italy", "street_adddress": "Universit\u00e0 di Salerno Via Papa, Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.77434920", "lng": "14.78901500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6097-z"]}, {"id": "76b6577f47d6782bf75aca04e361a7b7381b4a84", "title": "Measuring and Modifying the Intrinsic Memorability of Images", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/76b6/577f47d6782bf75aca04e361a7b7381b4a84.pdf"], "doi": []}, {"id": "41a96329d93e7b06ebd6b3a761cc0d50375c5f15", "title": "Visual Learning Beyond Direct Supervision", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://www2.eecs.berkeley.edu/Pubs/TechRpts/2018/EECS-2018-128.pdf"], "doi": ["https://www.base-search.net/Record/2a66cc65fb84214dedf1e3019655a0c160d394ee4e1457c1e1301e57cce6ca94"]}, {"id": "8e325b234e9cb67c285fc256c7e51d5e326952d1", "title": "Single-Shot Bidirectional Pyramid Networks for High-Quality Object 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": "2018", "pdf": ["https://arxiv.org/pdf/1803.08208.pdf"], "doi": []}, {"id": "b90efd4e0a2267b1c47d31ead3c860acb4364cee", "title": "MetaAnchor: Learning to Detect Objects with Customized Anchors", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00980.pdf"], "doi": []}, {"id": "0489a21c77d1646ea3af48d678c3ad9645eef2a9", "title": "Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7765089", "https://www.ncbi.nlm.nih.gov/pubmed/27925605"]}, {"id": "fa2d3c78981ef0e19557e51d85b6dda05345c380", "title": "Detection of valuable left-behind items in vehicle cabins", "addresses": [{"name": "Jaguar Land Rover Research, Coventry, UK", "source_name": "Jaguar Land Rover Research, Coventry, UK", "street_adddress": "Viscount Centre C, Milburn Hill Rd, Coventry CV4 7HS, United Kingdom", "lat": "52.38558050", "lng": "-1.56086400", "type": "company", "country": "United Kingdom"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995862", "http://doi.org/10.1109/IVS.2017.7995862"]}, {"id": "0000fcfd467a19cf0e59169c2f07d730a0f3a8b9", "title": "Exploring Visual Relationship for Image Captioning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07041.pdf"], "doi": []}, {"id": "c93e26b52cb22382ed2627bf32f86fa18d034cbf", "title": "Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09509.pdf"], "doi": []}, {"id": "57922243faec5a60473fb9ec32d9adcd94fb6cc8", "title": "Identifying Most Walkable Direction for Navigation in an Outdoor Environment", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08040.pdf"], "doi": []}, {"id": "89588a697c8b81e38d3793db5055a65c4abc4845", "title": "Swap Retrieval: Retrieving Images of Cats When the Query Shows a Dog", "addresses": [{"name": "KULeuven, Leuven, Belgium", "source_name": "KULeuven, Leuven, Belgium", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749373"]}, {"id": "1b793cc5dceb98c95e816aebc2252205bfd71569", "title": "ADNet: A Deep Network for Detecting Adverts", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04115.pdf"], "doi": []}, {"id": "532c089b43983935e1001c5e35aa35440263beaf", "title": "G-Distillation: Reducing Overconfident Errors on Novel Samples", "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/1804.03166.pdf"], "doi": []}, {"id": "20e24a40dc855fa69aa3d85b4bfdcfb8c9dadb74", "title": "Multi-Networks Joint Learning for Large-Scale Cross-Modal Retrieval", "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": "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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123317"]}, {"id": "04e2b2eab1966ffb0079685baf169d4d7ad4ec8c", "title": "Detecting Sex From Handwritten Examples", "addresses": [{"name": "Independent University Bangladesh", "source_name": "Fab Lab, Independent University Bangladesh, Dhaka, Bangladesh", "street_adddress": "Independent University, Bangladesh Plot 16, \u0986\u09ab\u09a4\u09be\u09ac \u0989\u09a6\u09cd\u09a6\u09bf\u09a8 \u0986\u09b9\u09ae\u09c7\u09a6 \u09b0\u09cb\u09a1, \u09a2\u09be\u0995\u09be, Bangladesh", "lat": "23.81524690", "lng": "90.42796720", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8541214", "http://doi.org/10.1109/icscan.2018.8541214"]}, {"id": "00e19d93780ecf8f807c510a1105749d5bb1a2f3", "title": "Image Description using Deep Neural Networks", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/00e1/9d93780ecf8f807c510a1105749d5bb1a2f3.pdf"], "doi": []}, {"id": "6f3a1216e984c78e7374b3b7ab05612544d345eb", "title": "DeRPN: Taking a further step toward more general object detection", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06700.pdf"], "doi": []}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "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"}, {"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"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "10706113b871354248beb37fe5bb2f31925f7a68", "title": "A Vision-based Transfer Learning Approach for Recognizing Behavioral Symptoms in People with Dementia", "addresses": [{"name": "Edge Hill University", "source_name": "Edge Hill University", "street_adddress": "Edge Hill University, St Helens Road, West Lancashire, Lancs, North West England, England, L39 4QP, UK", "lat": "53.55821550", "lng": "-2.86904651", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639371"]}, {"id": "3921afded8bc8471d784df86f64432fb14b8ef58", "title": "Egocentric Gesture Recognition for Head-Mounted AR devices", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05380.pdf"], "doi": []}, {"id": "d9519d66f9844fcf306cc205593a55cf01090633", "title": "Image2song: Song Retrieval via Bridging Image Content and Lyric Words", "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": "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.05851.pdf"], "doi": []}, {"id": "b5bfe824fc49fe78b538ac15f21c4cd6a9d44347", "title": "Image Caption with Synchronous Cross-Attention", "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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126714"]}, {"id": "6220d0424bc7357e7e381d59baecdff91062ba81", "title": "A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1807.02480.pdf"], "doi": []}, {"id": "c8671a739a95f57946a625c3eada1f4addc60aea", "title": "Transferable Interactiveness Prior for Human-Object Interaction Detection", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08264.pdf"], "doi": []}, {"id": "e38c7d4f8a4399f402ab6bb364ec662fe897bed1", "title": "PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09190.pdf"], "doi": []}, {"id": "d3bbd57899d938e8c4bcafbbda10ceb59638e4db", "title": "Skip-Thought Vectors", "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"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06726.pdf"], "doi": []}, {"id": "11da2d589485685f792a8ac79d4c2e589e5f77bd", "title": "Show and tell: A neural image caption generator", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4555.pdf"], "doi": []}, {"id": "0ae247153afd87f98829359a8b5df0f68d788d75", "title": "A Corpus for Reasoning About Natural Language Grounded in Photographs", "addresses": [{"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": "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": ["https://arxiv.org/pdf/1811.00491.pdf"], "doi": []}, {"id": "30795da8026e875faaffa3d6f2fa03c9c5d14c55", "title": "Richer Semantic Visual and Language Representation for Video Captioning", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3127895"]}, {"id": "2675a66b3f8743cf0551f284244af4f24537c19b", "title": "Learning Visually Grounded Sentence Representations", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.06320.pdf"], "doi": []}, {"id": "5f79398057bf0bbda9ff50067bc1f2950c2a2266", "title": "Progressive Neural Architecture Search", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.00559.pdf"], "doi": []}, {"id": "02588064dd2b4b56d1dad214c1af3a7518832a59", "title": "A survey on deep neural network-based image captioning", "addresses": [{"name": "Dalian Maritime University", "source_name": "Dalian Maritime University, Dalian, China", "street_adddress": "1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China", "lat": "38.87004100", "lng": "121.53414100", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1566-y"]}, {"id": "bb93c56a44a244601daad96a7bb94e41609afc4d", "title": "Towards Improved Design and Evaluation of Epileptic Seizure Predictors", "addresses": [{"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}, {"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://biblio.ugent.be/publication/8519033/file/8520709.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7915772", "http://doi.org/10.1109/TBME.2017.2700086", "https://www.ncbi.nlm.nih.gov/pubmed/28475041", "https://www.wikidata.org/entity/Q38687464"]}, {"id": "19aa506d04d3f7241fc71b595d28b5f1bb99edad", "title": "Compact Generalized Non-local Network", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13125.pdf"], "doi": []}, {"id": "738947f9b0bc50d1b7d5cbe84856bc18fcaee386", "title": "Deep learning-based human head detection and extraction for robotic portrait drawing", "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"}, {"name": "Shenzhen Academy of Robotics, Shenzhen, Guangdong, China", "source_name": "Shenzhen Academy of Robotics, Shenzhen, Guangdong, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324594", "http://doi.org/10.1109/ROBIO.2017.8324594"]}, {"id": "80acc73e29fb324a3e01113bbeddccacaf5283f1", "title": "Generate, Segment and Replace: Towards Generic Manipulation Segmentation.", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.09729.pdf"], "doi": []}, {"id": "b4c48aa7a93f38d2eb60209120a1a8daa61c4545", "title": "Diversity in Object Proposals", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.04308.pdf"], "doi": []}, {"id": "26e425781e4090abfae65b5d68eac72282dd2e31", "title": "Image Captioning with Deep Bidirectional LSTMs", "addresses": [{"name": "University of Potsdam", "source_name": "Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.00790.pdf"], "doi": []}, {"id": "d6c3f9edf5459db8633f9155f55e6f735dd0ce8b", "title": "Edge-Cloud Collaborative Processing for Intelligent Internet of Things: A Case Study on Smart Surveillance", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3196036"]}, {"id": "f831f81f34a9c9dde41c5250b1a9dadf8ec8963b", "title": "Video Object Segmentation with Re-identification", "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": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00197.pdf"], "doi": []}, {"id": "b29c83b6ee10857e09ac3503916ae1b129642cae", "title": "Mo 2 Cap 2 : Real-time Mo bile 3 D Mo tion Cap ture with a Cap-mounted Fisheye Camera", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b29c/83b6ee10857e09ac3503916ae1b129642cae.pdf"], "doi": []}, {"id": "f3b24cdbd1e7fd94d7ad1fa077dfa051bcc8aa38", "title": "AUTOMATIC IMAGE ANNOTATION MODEL USING LSTM APPROACH", "addresses": [{"name": "Varanasi", "source_name": "Varanasi", "street_adddress": "Varanasi, Uttar Pradesh, India", "lat": "25.31764520", "lng": "82.97391440", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f3b2/4cdbd1e7fd94d7ad1fa077dfa051bcc8aa38.pdf"], "doi": []}, {"id": "4f0d7f2926061c9dd6081d95eb9755812f9a16c2", "title": "Videos as Space-Time Region Graphs", "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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01810.pdf"], "doi": []}, {"id": "ad6dedc3f56b1ef2c083cb13c2638eddf208d49b", "title": "An object based graph representation for video comparison", "addresses": [{"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296742", "http://doi.org/10.1109/ICIP.2017.8296742"]}, {"id": "cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de", "title": "Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"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/1802.07101.pdf"], "doi": []}, {"id": "d9aca4cfe6bf49056c4bc6796414355a59cf5fb5", "title": "3D-SSD: Learning Hierarchical Features from RGB-D Images for Amodal 3D Object Detection", "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/1711.00238.pdf"], "doi": []}, {"id": "11f515ead5b4a7259668f2620e808fa8ba5ea65c", "title": "Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues", "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": "2017", "pdf": ["https://arxiv.org/pdf/1611.06641.pdf"], "doi": []}, {"id": "d0593359627cd0744740ea50731d2b98ff6b1937", "title": "Short-term memory with read-only unit in neural image caption generator", "addresses": [{"name": "Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia", "source_name": "Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia", "street_adddress": "62/1 Paruyr Sevak St, Yerevan, Armenia", "lat": "40.21254620", "lng": "44.53266140", "type": "edu", "country": "Armenia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8312163"]}, {"id": "85e283564fca1d1cf4d142647561901a26f144c6", "title": "On the Origin of Deep Learning On the Origin of Deep Learning", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/85e2/83564fca1d1cf4d142647561901a26f144c6.pdf"], "doi": []}, {"id": "3e198f28343fccf502bc20191660dd090ba5356d", "title": "Accurate License Plate Recognition and Super-Resolution Using a Generative Adversarial Networks on Traffic Surveillance Video", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8552121", "http://doi.org/10.1109/icce-asia.2018.8552121"]}, {"id": "bc1d609520290e0460c49b685675eb5a57fa5935", "title": "An efficient framework for learning sentence representations", "addresses": [{"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": "2018", "pdf": ["https://arxiv.org/pdf/1803.02893.pdf"], "doi": []}, {"id": "704b46c9c255cd22b4712dcc6bc417d6fefc1e18", "title": "Learning RoI Transformer for Detecting Oriented Objects 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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00155.pdf"], "doi": []}, {"id": "7f1d7688c4923cab09bf0a548e6f1fc1dd916b51", "title": "Boundary aware image segmentation with unsupervised mixture models", "addresses": [{"name": "Technical University Dortmund", "source_name": "Image Analysis Group, Technical University Dortmund, Otto-Hahn-Str. 4, 44227 Dortmund, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296898", "http://doi.org/10.1109/ICIP.2017.8296898"]}, {"id": "0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813", "title": "Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04960.pdf"], "doi": []}, {"id": "3d22f972448a2336677ae6ff2877fae010c7dfa2", "title": "What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02043.pdf"], "doi": []}, {"id": "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "title": "Training object class detectors with click supervision Dim", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/c0ef/854f4119a74b37211aa4cc36b8c1addd9057.pdf"], "doi": []}, {"id": "0e23229289b1fbea14bc425718bc0a227d100b8e", "title": "Survey of Recent Advances in Visual Question Answering", "addresses": [{"name": "Hyderabad, India", "source_name": "Hyderabad, India", "street_adddress": "Hyderabad, Telangana, India", "lat": "17.38504400", "lng": "78.48667100", "type": "edu", "country": "India"}, {"name": "Adobe Systems", "source_name": "Adobe Systems", "street_adddress": "343 Preston St, Ottawa, ON K1S 1N4, Canada", "lat": "45.40242130", "lng": "-75.70955410", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08203.pdf"], "doi": []}, {"id": "6950b44613b7a98e860d800fdbbe1693c6444729", "title": "Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint", "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": "2018", "pdf": ["https://arxiv.org/pdf/1807.09972.pdf"], "doi": []}, {"id": "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "title": "Exploring Person Context and Local Scene Context for Object Detection.", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08177.pdf"], "doi": []}, {"id": "828ac57f755db989e2886042a85278ae4823297c", "title": "Uncovering the Temporal Context for Video Question Answering", "addresses": [{"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": "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": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-1033-7"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "69c22f1f72de76dfd4f5b90621dad4969674da1e", "title": "Convolution Neural Networks With Two Pathways for Image Style Recognition", "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": "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7945535", "http://doi.org/10.1109/TIP.2017.2710631", "https://www.ncbi.nlm.nih.gov/pubmed/28613168", "https://www.wikidata.org/entity/Q38726144"]}, {"id": "5820ba4c09695ce677a5aca6b0628c024303e60b", "title": "Semantic Correspondence: A Hierarchical Approach", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03560.pdf"], "doi": []}, {"id": "2d3d4883350a48708cdc0c260479110e5eed965a", "title": "Leveraging Visual Question Answering for Image-Caption Ranking", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01379.pdf"], "doi": []}, {"id": "7a82d83f818cdc4ac714e468446bc2499ff9caa7", "title": "Object Referring in Videos with Language and Human Gaze", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01582.pdf"], "doi": []}, {"id": "1cfbaa9af05f0eea03ac7c28cc0e588687cd8343", "title": "Self-view Grounding Given a Narrated 360{\\deg} Video", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08664.pdf"], "doi": []}, {"id": "a678b68abd4047d5342f64725f57a04647a47711", "title": "From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12772.pdf"], "doi": []}, {"id": "19d1855e021561d6da9d0200bb18e47f51cddda6", "title": "Visual Storytelling", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"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": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03968.pdf"], "doi": []}, {"id": "eecd9a070ed333077a066bfdcf776c51c2c74406", "title": "Deep image representations using caption generators", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09142.pdf"], "doi": []}, {"id": "b9566216ec1e5dcd02e3a222987f1934e44c773e", "title": "Neuron-level Selective Context Aggregation for Scene Segmentation", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"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://arxiv.org/pdf/1711.08278.pdf"], "doi": []}, {"id": "8c3cf0c579a28890e21428fcad7f09175e65e43d", "title": "Adding object detection skills to visual dialogue agents", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8c3c/f0c579a28890e21428fcad7f09175e65e43d.pdf"], "doi": []}, {"id": "e559630c5710afb0d5eb8f95141e451393bbcbd9", "title": "Factors Influencing The Performance of Image Captioning Model: An Evaluation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007136"]}, {"id": "e6d8ebfd88ee333deccce32b09ee41d271af6dc4", "title": "Grasp2Vec: Learning Object Representations from Self-Supervised Grasping", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06964.pdf"], "doi": []}, {"id": "aea6dfb43df75b176ff209f5510a0f17256a4d0a", "title": "Learning 3 D Scene Synthesis from Annotated RGB-D Images", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"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": "2016", "pdf": ["https://pdfs.semanticscholar.org/aea6/dfb43df75b176ff209f5510a0f17256a4d0a.pdf"], "doi": []}, {"id": "b7407b2ea67b8c82246f013f4966c4cac1507e60", "title": "Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b740/7b2ea67b8c82246f013f4966c4cac1507e60.pdf"], "doi": []}, {"id": "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "title": "Natural Language Object Retrieval", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.04164.pdf"], "doi": []}, {"id": "e4b9c14951cea6259dd9d522586ba2c5bb1fbcce", "title": "Social Image Captioning: Exploring Visual Attention and User Attention", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4b9/c14951cea6259dd9d522586ba2c5bb1fbcce.pdf"], "doi": []}, {"id": "cf98c333c8d7d5870c1ce5538bb0c3de3de16657", "title": "Panoptic Segmentation", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00868.pdf"], "doi": []}, {"id": "75cea964884a6f5c35e2954e56fc787ed8f9662c", "title": "Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models", "addresses": [{"name": "University of Science, Vietnam", "source_name": "University of Science, Vietnam", "street_adddress": "227 \u0110\u01b0\u1eddng Nguy\u1ec5n V\u0103n C\u1eeb, Ph\u01b0\u1eddng 4, Qu\u1eadn 5, H\u1ed3 Ch\u00ed Minh, Vietnam", "lat": "10.76291300", "lng": "106.68217170", "type": "edu", "country": "Vietnam"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03407.pdf"], "doi": []}, {"id": "ad8fc03b492590a4282df52fe998d713995d0a0c", "title": "Exploring confusing scene classes for the places dataset: Insights and solutions", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282094", "http://doi.org/10.1109/APSIPA.2017.8282094"]}, {"id": "943c372336ced4b28e15e02fe8db1f4b23bf6835", "title": "Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey", "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": "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"}, {"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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253582", "http://doi.org/10.1109/MSP.2017.2749125"]}, {"id": "4923c6bc3ab501651763f6814a8384745f3d9a4d", "title": "Visual attribute transfer through deep image analogy", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01088.pdf"], "doi": []}, {"id": "0013fae7390cbd34aade7959b4476512d8ab9aa3", "title": "Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10652.pdf"], "doi": []}, {"id": "00ca28c1c8005ae8d06c7afd0284f67c67710c43", "title": "Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12354.pdf"], "doi": []}, {"id": "a88f86093e6f2d14761d4b8cbdcadfeff496c948", "title": "Adversarial Ranking for Language Generation", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.11001.pdf"], "doi": []}, {"id": "30f33cffe390dfcc03d8df28593aebba6afafd59", "title": "Video Predictive Object Detector", "addresses": [{"name": "Queen's University", "source_name": "Queen's University, Belfast, UK", "street_adddress": "University Rd, Belfast BT7 1NN, UK", "lat": "54.58440870", "lng": "-5.93404930", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615054"]}, {"id": "e69b1314cd65a115c98082a5863b92daa4dcf9f0", "title": "Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "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"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7792699", "http://doi.org/10.1109/TMI.2016.2642839", "https://www.ncbi.nlm.nih.gov/pubmed/28026754", "https://www.wikidata.org/entity/Q39062626"]}, {"id": "fe8431a3b4313737183510d8f01003d48870d277", "title": "Superpixel Filtering for Mean Field Inference in CRFs Integrated with Convolutional Neural Networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe84/31a3b4313737183510d8f01003d48870d277.pdf"], "doi": []}, {"id": "99ef290d0eca8cfe8dc086bb1c4571e88eb876e4", "title": "Multi-label image classification with recurrently learning semantic dependencies", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-01615-0"]}, {"id": "2e0f1c89c4e099b14c4d77bd406be9f7b78d6f6d", "title": "GLA: Global\u2013Local Attention for Image Description", "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"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031355", "http://doi.org/10.1109/TMM.2017.2751140"]}, {"id": "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "title": "Computer Vision and Deep Learning for Automated Surveillance Technology", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b0c92f2a619157e2bedf15abb97ed1b0b98f.pdf"], "doi": []}, {"id": "8d0fb60adc54c168587bce2cf5b1c46ba2ac36e3", "title": "Exploiting Saliency for Object Segmentation from Image Level Labels", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08261.pdf"], "doi": []}, {"id": "55b9b1c1c5487f5f62b44340104a9c4cc2ed7c96", "title": "The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question Answering (FSVQA).", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06657.pdf"], "doi": []}, {"id": "0d57ba12a6d958e178d83be4c84513f7e42b24e5", "title": "Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02677.pdf"], "doi": []}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"], "doi": []}, {"id": "0744143542ffcb45b1ad83078c23efa9d3ec2be4", "title": "Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation", "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": "2018", "pdf": ["https://arxiv.org/pdf/1808.04818.pdf"], "doi": []}, {"id": "ee5b4fc5fafa7e883d751557b5c7863503cd92d2", "title": "Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.07177.pdf"], "doi": []}, {"id": "3f15c35d4c5ed41de9f57e06849f750e43fe80b3", "title": "JointFlow : Temporal Flow Fields for Multi Person Pose Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3f15/c35d4c5ed41de9f57e06849f750e43fe80b3.pdf"], "doi": []}, {"id": "d0e20aa3d61b77d17f005a1d24d7cf47600836ef", "title": "Rethinking Atrous Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05587.pdf"], "doi": []}, {"id": "4fa6a688f350831503d158f8f618c58d1e06bc5d", "title": "A Semi-supervised Framework for Image Captioning", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05321.pdf"], "doi": []}, {"id": "7d8c2d29deb80ceed3c8568100376195ce0914cb", "title": "Identity-Aware Textual-Visual Matching with Latent Co-attention", "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/1708.01988.pdf"], "doi": []}, {"id": "3f607dd67b456e3dfb136c70a3dae369945a6076", "title": "Improved Selective Refinement Network for 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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.06651.pdf"], "doi": []}, {"id": "357df3ee0f0c30d5c8abc5a1bdf70122322d6fbd", "title": "O BJECT DETECTORS EMERGE IN D EEP S CENE CNN S", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/08c7/a85c443935468450a162ddeccd2b945660e3.pdf"], "doi": []}, {"id": "ef12de45bd47e03451cde586697601cd7e36c3b9", "title": "Aligning Text and Document Illustrations: Towards Visually Explainable Digital Humanities", "addresses": [{"name": "University of of Modena and Reggio Emilia", "source_name": "University of of Modena and Reggio Emilia", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545064", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545064", "http://doi.org/10.1109/ICPR.2018.8545064"]}, {"id": "6cc46899b415ebef4a70068b2cbd8a50e955aeb6", "title": "Where to put the Image in an Image Caption Generator", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.09137.pdf"], "doi": []}, {"id": "3d732ba534081326eb9de70f2e370a31940c2990", "title": "Semantic image segmentation using fully convolutional neural networks with multi-scale images and multi-scale dilated convolutions", "addresses": [{"name": "Gachon University", "source_name": "Gachon University, Gyeonggi-do, South Korea", "street_adddress": "1342 Seongnam-daero, Bokjeong-dong, Sujeong-gu, Seongnam-si, Gyeonggi-do, South Korea", "lat": "37.45074520", "lng": "127.12884740", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5653-x"]}, {"id": "5ffa8cfea2f5bea0ec7cecfdf76f9478ca87df89", "title": "Context-Aware Captions from Context-Agnostic Supervision", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02870.pdf"], "doi": []}, {"id": "b9146b314812231d09587e3a9f622dda65d3cc40", "title": "A survey on social image understanding", "addresses": [{"name": "Nanjing Normal University Nanjing", "source_name": "Honors College, Nanjing Normal University Nanjing, Jiangsu, 210023, China", "street_adddress": "122 Ninghai Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210097", "lat": "32.05494300", "lng": "118.76494700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8256394", "http://doi.org/10.1109/BESC.2017.8256394"]}, {"id": "9d0c3adbee8098d47c7c0704e0841fa7daf8d161", "title": "The price of debiasing automatic metrics in natural language evalaution", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02202.pdf"], "doi": []}, {"id": "6e97a99b2879634ecae962ddb8af7c1a0a653a82", "title": "Towards Context-aware Interaction Recognition", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06246.pdf"], "doi": []}, {"id": "4cc2dc6e6b1f4575e86217a13b591f605a12b825", "title": "Consistent Optimization for Single-Shot 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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.06563.pdf"], "doi": []}, {"id": "9ac253caa50f7d94eead17ac12499226c0f05e87", "title": "Analysing object detectors from the perspective of co-occurring object categories", "addresses": [{"name": "Nokia Bell Labs, Budapest, Hungary", "source_name": "Nokia Bell Labs, Budapest, Hungary", "street_adddress": "Budapest, Hungary", "lat": "47.49791200", "lng": "19.04023500", "type": "company", "country": "Hungary"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639888"]}, {"id": "102e7bd7660357e1814c821c7f697f2eccececa4", "title": "Predicting Motivations of Actions by Leveraging Text", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "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": "2016", "pdf": ["https://arxiv.org/pdf/1406.5472.pdf"], "doi": []}, {"id": "c2f1aa6395941438501653ea262df63c812e8f71", "title": "Non-parametric human segmentation using support vector machine", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7514714", "http://doi.org/10.1109/ICCE.2016.7430551"]}, {"id": "819d1dcea397e6e671acf74adccdef5750550873", "title": "Representations for Visually Guided Actions", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/819d/1dcea397e6e671acf74adccdef5750550873.pdf"], "doi": []}, {"id": "c1de9803bd0072f017a97c0503308a7b9b4f211b", "title": "Analysis of Spatial, Temporal, and Content Characteristics of Videos in the YFCC100M Dataset", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983559"]}, {"id": "2298a1e437b4f8f2f2f016f1a98c027bf2f7f5bb", "title": "Top-Down Neural Attention by Excitation Backprop", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.00507.pdf"], "doi": []}, {"id": "afa073e5ec712423e300f21bcb2c3f17a69fa9d1", "title": "Style Transfer at 100+ FPS Via Sub-Pixel Super-Resolution", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551538", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2018.8551538", "http://doi.org/10.1109/ICMEW.2018.8551538"]}, {"id": "19317c6aa7f88c79abe03b146aa5d340a11fde3f", "title": "Object Proposal Generation With Fully Convolutional Networks", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7484700", "http://doi.org/10.1109/TCSVT.2016.2576759"]}, {"id": "6a75ef6b36489cb59c61f21f3cd09c50ad5b2995", "title": "MVTec D2S: Densely Segmented Supermarket Dataset", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08292.pdf"], "doi": []}, {"id": "02d6fb270c82c390476faffc6015b3116ddbb60c", "title": "Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd4a/bb49151220b389d9df1f19fecc3d92e0bff4.pdf"], "doi": []}, {"id": "11d256be1eb3da7789c0c9672f467079917baada", "title": "Action Classification via Concepts and Attributes", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.07824.pdf"], "doi": []}, {"id": "549d55a06c5402696e063ce36b411f341a64f8a9", "title": "Learning Deep Structure-Preserving Image-Text Embeddings", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.06078.pdf"], "doi": []}, {"id": "3f5b20c35f55417823f0201862d85af1f31e9348", "title": "Salience Biased Loss for Object Detection in Aerial Images", "addresses": [{"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08103.pdf"], "doi": []}, {"id": "cbe6739ecdb23d61f2ff74481c6b538ef953eb10", "title": "Learning to Learn: Model Regression Networks for Easy Small Sample Learning", "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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cbe6/739ecdb23d61f2ff74481c6b538ef953eb10.pdf"], "doi": []}, {"id": "a4e1a95c32e9477aa1b09073a1fd3ca129aacadc", "title": "Driver Identification System Using Convolutional Neural Network with Background Removal-based Infrared Data Augmentation", "addresses": [{"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500364", "http://doi.org/10.1109/IVS.2018.8500364"]}, {"id": "3e4d8bd8cb917db9bad1ed4382ccb266ab5fa411", "title": "Toward Efficient Simultaneous Detection and Segmentation", "addresses": [{"name": "Beijing Information Science and Technology University", "source_name": "Beijing Information Science and Technology University, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u6e05\u6cb3\u56db\u62d4\u5b50", "lat": "40.04332040", "lng": "116.34181090", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499154", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2018.8499154", "http://doi.org/10.1109/BigMM.2018.8499154"]}, {"id": "4f0b8f730273e9f11b2bfad2415485414b96299f", "title": "BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1805.04687.pdf"], "doi": []}, {"id": "4f9beb035a3d196f653e8528303fdf9ded998e22", "title": "Can You See the (Linguistic) Difference? Exploring Mass/Count Distinction in Vision", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4f9b/eb035a3d196f653e8528303fdf9ded998e22.pdf"], "doi": []}, {"id": "87e1ae939f3632f26a9878fe32674e338cb18094", "title": "C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis", "addresses": [{"name": "IIT Hyderabad, India", "source_name": "IIT Hyderabad, Kandi, Telangana, 502285, India", "street_adddress": "IITH Main Road, Near NH-65, Sangareddy, Kandi, Telangana 502285, India", "lat": "17.59470330", "lng": "78.12310540", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10238.pdf"], "doi": []}, {"id": "7277fdf51bb3fc38f254a5546c53caa4169653c9", "title": "Domain Adaptation for Neural Networks by Parameter Augmentation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00410.pdf"], "doi": []}, {"id": "32812f35efab1fc5bdbcc17d67f27bba31c720c6", "title": "Dropout during inference as a model for neurological degeneration in an image captioning network", "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/1808.03747.pdf"], "doi": []}, {"id": "9534a04de5e99a44df76ea30140f66a62e83fdaa", "title": "Iteratively Trained Interactive Segmentation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04398.pdf"], "doi": []}, {"id": "3349fab3a5e2b7c5194289bdc839f87f556ea3ef", "title": "Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3349/fab3a5e2b7c5194289bdc839f87f556ea3ef.pdf"], "doi": []}, {"id": "eb7e0dfc61f3f9993a39316ccaaa263059b3a108", "title": "Spatially Adaptive Computation Time for Residual Networks", "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", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02297.pdf"], "doi": []}, {"id": "16beefb2f8d0d61e536bf20766e485499906c2e0", "title": "Image Surveillance Assistant", "addresses": [{"name": "Naval Research Laboratory", "source_name": "Naval Research Laboratory", "street_adddress": "Naval Research Laboratory Post Office, 4555, Overlook Avenue Southwest, Washington, D.C., 20375, USA", "lat": "38.82313810", "lng": "-77.01789020", "type": "mil", "country": "United States"}], "year": "2016", "pdf": ["http://cs.umd.edu/~maynord/Image_Surveillance_Assistant.pdf", "https://www.nrl.navy.mil/itd/aic/sites/www.nrl.navy.mil.itd.aic/files/pdfs/(Maynord+%20WACV-16%20WS)%20Intelligent%20Surveillance%20Assistant.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470119", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2016.7470119", "http://doi.org/10.1109/WACVW.2016.7470119"]}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}, {"id": "edafa697ba68874d608015b521c43d04e3584992", "title": "Gated Recurrent Capsules for Visual Word Embeddings", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/edaf/a697ba68874d608015b521c43d04e3584992.pdf"], "doi": []}, {"id": "6e09a291d61f0e26ce3522a1b0fce952fb811090", "title": "Generative Attention Model with Adversarial Self-learning for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126695"]}, {"id": "46253ab8721ced8c9b94234f3a2401efde1e3f2a", "title": "Language Models for Image Captioning: The Quirks and What Works", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01809.pdf"], "doi": []}, {"id": "402324c77b7b4040810480d6947c7db92d491308", "title": "Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.08123.pdf"], "doi": []}, {"id": "64e2ea4ca45cbf1a6ef35f3448c5799354e2f603", "title": "Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection", "addresses": [{"name": "University of Sheffield", "source_name": "The University of Sheffield", "street_adddress": "University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK", "lat": "53.38152480", "lng": "-1.48068143", "type": "edu", "country": "United Kingdom"}, {"name": "National Institutes of Health (NIH) Clinical Center, Bethesda, MD", "source_name": "National Institutes of Health (NIH) Clinical Center, Bethesda, MD", "street_adddress": "10 Center Dr, Bethesda, MD 20814, USA", "lat": "39.00252720", "lng": "-77.10437890", "type": "edu", "country": "United States"}, {"name": "\u00c9cole Centrale de Lyon", "source_name": "Laboratoire LIRIS", "street_adddress": "40 Avenue Guy de Collongue, 69130 \u00c9cully, France", "lat": "45.78359660", "lng": "4.76789480", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103045"]}, {"id": "14c2321851fb5ae580a19726dd2753a525d6ad76", "title": "Grounding of Textual Phrases in Images by Reconstruction", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03745.pdf"], "doi": []}, {"id": "8176e3aea16595b3fe6afdb6c745c9eca98ece06", "title": "The Helping Hand: An Assistive Manipulation Framework Using Augmented Reality and Tongue-Drive Interfaces", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8512668", "http://doi.org/10.1109/EMBC.2018.8512668", "https://www.ncbi.nlm.nih.gov/pubmed/30440831"]}, {"id": "2bc70a13426c79c192c5e57f8a0041d8ecf628a8", "title": "Image Labeling with Markov Random Fields and Conditional Random Fields", "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", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11323.pdf"], "doi": []}, {"id": "af55a25cdd3a2c138e755d5206b35457c1f5760b", "title": "DistInit: Learning Video Representations without a Single Labeled Video", "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": "2019", "pdf": ["https://arxiv.org/pdf/1901.09244.pdf"], "doi": []}, {"id": "9a7784eea6bfa62bf2834ee0b87a3cdda46006f2", "title": "Digital Comics Image Indexing Based on Deep Learning", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9a77/84eea6bfa62bf2834ee0b87a3cdda46006f2.pdf"], "doi": []}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "8de065f412a7d739dff40044212c8506b5c52bf7", "title": "Multi-Person Pose Estimation for PoseTrack with Enhanced Part Affinity Fields", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8de0/65f412a7d739dff40044212c8506b5c52bf7.pdf"], "doi": []}, {"id": "80ef252a17d343ac7b12485c117d6df4a409dee5", "title": "Image Caption with Endogenous\u2013Exogenous Attention", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-019-09979-7"]}, {"id": "bd2a3ad4f28757791c9335033f39ac31cb84b8c7", "title": "ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06752.pdf"], "doi": []}, {"id": "8a1f46d56ef6dfa34412986a802b5affe2512000", "title": "Aided Action Recognition Using Single Images", "addresses": [{"name": "Lehigh University", "source_name": "Lehigh University", "street_adddress": "Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA", "lat": "40.60680280", "lng": "-75.37824880", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8a1f/46d56ef6dfa34412986a802b5affe2512000.pdf"], "doi": []}, {"id": "6d3d61ef9b5ff6d41badbc3d40ea23acbbc9c3fe", "title": "Learning to Evaluate Image Captioning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06422.pdf"], "doi": []}, {"id": "2df1688afdb470a9d9eee95e41fc34ebd0c9036b", "title": "Deep Multimodal Learning: An Effective Method for Video Classification", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.12563.pdf"], "doi": []}, {"id": "ed605dc1e69dccabf47044499e7ec26e30b72b58", "title": "Pre-gen Metrics: Predicting Caption Quality Metrics Without Generating Captions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-11018-5_10"]}, {"id": "c0d0ef94dd3c53c3130b5b8ce38d981929b7adb2", "title": "Weakly- and Semi-supervised Panoptic Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03575.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "43eee49e372e5299608a79f8491fcf40998028df", "title": "Complex event processing for content-based text, image, and video retrieval", "addresses": [{"name": "Army Research Laboratory, Computational and Information Sciences Directorate", "source_name": "Army Research Laboratory, Computational and Information Sciences Directorate", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}, {"name": "Army Research Laboratory, Sensors and Electron Devices Directorate", "source_name": "Army Research Laboratory, Sensors and Electron Devices Directorate", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}, {"name": "Atos Turkey, Ankara, Turkey", "source_name": "Atos Turkey, Ankara, Turkey", "street_adddress": "No: 21, \u00dcniversiteler Mh., Teknokent Silikon Bloklar, 06800 \u00c7ankaya/Ankara, Turkey", "lat": "39.89961620", "lng": "32.77396810", "type": "edu", "country": "Turkey"}, {"name": "Defence Research and Development Canada, Toronto, Ontario", "source_name": "Defence Research and Development Canada, Toronto, Ontario", "street_adddress": "1133 Sheppard Ave W, North York, ON M3K 2C9, Canada", "lat": "43.75107650", "lng": "-79.46945700", "type": "mil", "country": "Canada"}, {"name": "Defence Research and Development Canada, Valcartier, Quebec", "source_name": "Defence Research and Development Canada, Valcartier, Quebec", "street_adddress": "400 Cumberland St, Ottawa, ON K1N 1J8, Canada", "lat": "45.42826030", "lng": "-75.68804370", "type": "mil", "country": "Canada"}, {"name": "TNO, The Hague, Netherlands", "source_name": "TNO, The Hague, Netherlands", "street_adddress": "Anna van Buerenplein 1, 2595 DA Den Haag, Netherlands", "lat": "52.08227700", "lng": "4.32580700", "type": "edu", "country": "Netherlands"}, {"name": "UK Defence Science and Technology Laboratory, Porton, Salisbury, UK", "source_name": "UK Defence Science and Technology Laboratory, Porton, Salisbury, UK", "street_adddress": "Porton Down, Salisbury SP4 0JQ, UK", "lat": "51.13122970", "lng": "-1.70368420", "type": "mil", "country": "United Kingdom"}, {"name": "United States Air Force Research Laboratory, Dayton, OH", "source_name": "United States Air Force Research Laboratory, Dayton, OH", "street_adddress": "1864 4th St, Wright-Patterson AFB, OH 45433, USA", "lat": "39.79084110", "lng": "-84.09897580", "type": "mil", "country": "United States"}], "year": "2016", "pdf": ["http://www.dtic.mil/dtic/tr/fulltext/u2/1011094.pdf", "https://apps.dtic.mil/dtic/tr/fulltext/u2/1011094.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7496546"]}, {"id": "f43012db4836cf671a2a095413ba5ec6725e4a41", "title": "Deep TripletQuantization", "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": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f430/12db4836cf671a2a095413ba5ec6725e4a41.pdf"], "doi": []}, {"id": "ebe7eda4fd10caa326d57b93e8a1e2a13e09a403", "title": "TSCSet: A Crowdsourced Time-Sync Comment Dataset for Exploration of User Experience Improvement", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3172966"]}, {"id": "5ba8bb7d204e7a5a29a043792546577500e2e5c1", "title": "Background Appearance Modeling with Applications to Visual Object Detection in an Open-Pit Mine", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5ba8/bb7d204e7a5a29a043792546577500e2e5c1.pdf"], "doi": []}, {"id": "48320a4be9cc741fdb28ad72f359c449e41309cc", "title": "Manga109 dataset and creation of metadata", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011551"]}, {"id": "6701efa7f715b3c296843b8ff5414a6610711cf9", "title": "Semi-automatic image and video annotation system for generating ground truth information", "addresses": [{"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8343233", "http://doi.ieeecomputersociety.org/10.1109/ICOIN.2018.8343233", "http://doi.org/10.1109/ICOIN.2018.8343233"]}, {"id": "1334d274bca9c94fed724ecfac7e36d3789aea38", "title": "ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector", "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": "Intel Corporation, Hillsboro, OR, USA", "source_name": "Intel Corporation, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.05810.pdf"], "doi": []}, {"id": "632fa986bed53862d83918c2b71ab953fd70d6cc", "title": "What Face and Body Shapes Can Tell About Height", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10355.pdf"], "doi": []}, {"id": "2bf41bf420c8d86dd1bffbacd28c70fa8b12b6dd", "title": "Counting the uncountable: deep semantic density estimation from Space", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07091.pdf"], "doi": []}, {"id": "e4845fb1e624965d4f036d7fd32e8dcdd2408148", "title": "YOLOv3: An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02767.pdf"], "doi": []}, {"id": "663617c728b18e333acb5279e9b1095eeda9287e", "title": "The 2018 DAVIS Challenge on Video Object Segmentation-CVPR 2018 Workshops", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bd1c/72de32b9dafc2c8b392ed26a9977af62fe58.pdf"], "doi": []}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "15147ca5866dc5fbcfa0d91259798599004d051d", "title": "CO-FILTERING HUMAN INTERACTION AND OBJECT SEGMENTATION A Degree Thesis Submitted to the Faculty of the Escola Te\u0300cnica d'Enginyeria de Telecomunicacio\u0301 de Barcelona", "addresses": [{"name": "Universitat Polit\u00e8cnica de Catalunya", "source_name": "Universitat Polit\u00e8cnica de Catalunya", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1514/7ca5866dc5fbcfa0d91259798599004d051d.pdf"], "doi": []}, {"id": "6d880f543e583cf1ba4333be7f3845de4dcbda64", "title": "Recursive Visual Attention in Visual Dialog", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02664.pdf"], "doi": []}, {"id": "cba8b9949e71ff485a4ecba33128e2f206651cac", "title": "An RGBD segmentation model for robot vision learned from synthetic data", "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://pdfs.semanticscholar.org/cba8/b9949e71ff485a4ecba33128e2f206651cac.pdf"], "doi": []}, {"id": "b93cd1e6f1aee81f4f94452c0091d11ee0cb8af3", "title": "Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications", "addresses": [{"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.11078.pdf"], "doi": []}, {"id": "4c33746fc5688da61059daa93978ac887f04cce8", "title": "Trainable performance upper bounds for image and video captioning", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e97f/10c2a4d7edac33597692e6dc243bd86adf10.pdf"], "doi": []}, {"id": "c682ff7a573082c5b69880c4bf84cdd464b70ae5", "title": "Dial2Desc: End-to-end Dialogue Description Generation", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00185.pdf"], "doi": []}, {"id": "3899b49ca98a134fb9d33feab458f2092da32096", "title": "Faster Bounding Box Annotation for Object Detection in Indoor Scenes", "addresses": [{"name": "Sandvik Mining and Construction Oyj, Tampere, Finland", "source_name": "Sandvik Mining and Construction Oyj, Tampere, Finland", "street_adddress": "Pihtisulunkatu 9, 33330 Tampere, Finland", "lat": "61.50907030", "lng": "23.57149070", "type": "company", "country": "Finland"}, {"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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611732"]}, {"id": "2dda7f46bbb8684a3a497dd40aabd4d759a62386", "title": "YouCookII Dataset", "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": "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"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2dda/7f46bbb8684a3a497dd40aabd4d759a62386.pdf"], "doi": []}, {"id": "93b689145277f7594e4bc0af2ffec5d3a31cc1fa", "title": "Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594223"]}, {"id": "14198efb1ea9d1c621dcac44e9c5aad349c0d69f", "title": "Learning to Segment Human by Watching YouTube", "addresses": [{"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "SnapChat Inc., Venice, CA", "source_name": "SnapChat Inc., Venice, CA", "street_adddress": "2772 Donald Douglas Loop N, Santa Monica, CA 90405, USA", "lat": "34.01629660", "lng": "-118.45349590", "type": "company", "country": "United States"}, {"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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7534869"]}, {"id": "72976d066d38d3d378d75dcf1467b0a295acad6b", "title": "iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.10437.pdf"], "doi": []}, {"id": "7fda1edac608bc67e55ac3d7c9dc5a542d8f8aee", "title": "Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01847.pdf"], "doi": []}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "addresses": [{"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"], "doi": []}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "94d177db3f198a3571576e562b4d3d9e816eb3cf", "title": "Dynamic Object Scanning: Object-Based Elastic Timeline for Quickly Browsing First-Person Videos", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3186501"]}, {"id": "4a9831e5fec549edee454709048a51997ef60fb7", "title": "Did the Model Understand the Question?", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05492.pdf"], "doi": []}, {"id": "6f71862aa00d61fc8fd7f205de35ee8af458ec0c", "title": "Semi-supervised Learning of Instance-level Recognition from Video", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6f71/862aa00d61fc8fd7f205de35ee8af458ec0c.pdf"], "doi": []}, {"id": "c41e483fee61e5040eeb49859a481352f8e3f8ac", "title": "TOWARDS BETTER UNDERSTANDING OF DEEP LEARNING WITH VISUALIZATION by HAIPENG ZENG", "addresses": [{"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c41e/483fee61e5040eeb49859a481352f8e3f8ac.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "9a6268d2bc1221ea154097feadea0c58f234d02f", "title": "Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering", "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": "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": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.06794.pdf"], "doi": []}, {"id": "44674b020e9ce46b16ffb72952a7cacb40d01657", "title": "Depth-aware neural style transfer", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}, {"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3092924"]}, {"id": "bce963c494ccce1c66757e69993f578c37564f6d", "title": "Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect?", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08097.pdf"], "doi": []}, {"id": "8dcc95debd07ebab1721c53fa50d846fef265022", "title": "MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images", "addresses": [{"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": "2017", "pdf": ["https://arxiv.org/pdf/1711.07011.pdf"], "doi": []}, {"id": "3ff40f0760bd8d3c46d72147b0f5b0d4aee2a24f", "title": "AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06475.pdf"], "doi": []}, {"id": "e7d6fc6daf70a30993b57efff9a259bd418c5c91", "title": "Infrared and Visible Image Fusion with ResNet and zero-phase component analysis", "addresses": [{"name": "University of Strathclyde", "source_name": "Centre for excellence in Signal and Image Processing, University of Strathclyde, Glasgow, UK", "street_adddress": "16 Richmond St, Glasgow G1 1XQ, UK", "lat": "55.86212200", "lng": "-4.24228510", "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": "2018", "pdf": ["https://arxiv.org/pdf/1806.07119.pdf"], "doi": []}, {"id": "74875368649f52f74bfc4355689b85a724c3db47", "title": "Object detection by labeling superpixels", "addresses": [{"name": "National Laboratory of Pattern Recognition, Chinese Academy of Sciences", "source_name": "National Laboratory of Pattern Recognition, Institute of Automation of Chinese, Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_072.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_072_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299146", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299146", "http://doi.org/10.1109/CVPR.2015.7299146"]}, {"id": "01cb4071a0a43aeef63e5d568ad5afe1fb8b2411", "title": "Domain Separation Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/01cb/4071a0a43aeef63e5d568ad5afe1fb8b2411.pdf"], "doi": []}, {"id": "54b5aab87dbe38803935789c4d730bd203d198a1", "title": "3D Human Pose Estimation in RGBD Images for Robotic Task Learning", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462833"]}, {"id": "09a4f1b7afd8d5f6854b23f0aa9e80b9a0fa6d20", "title": "Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04158.pdf"], "doi": []}, {"id": "f9a14264ca328cfbd817c7458eee5b18592e5d54", "title": "Feature Fusion for Weakly Supervised Object Localization", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623227"]}, {"id": "ab0715642330502d5efca948e4753651cb004d84", "title": "Soft-NMS \u2014 Improving Object Detection with One Line of Code", "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/1704.04503.pdf"], "doi": []}, {"id": "86c158ef6caaf247d5d14e07c5edded0147df8b7", "title": "Spatial Memory for Context Reasoning in Object 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": "2017", "pdf": ["https://arxiv.org/pdf/1704.04224.pdf"], "doi": []}, {"id": "adc55a30b17060d68b5092dfaba52243e39c68f5", "title": "Meaningful maps with object-oriented semantic mapping", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8206392"]}, {"id": "3d5575e9ba02128d94c20330f4525fc816411ec2", "title": "Learning Video Object Segmentation from Static Images", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02646.pdf"], "doi": []}, {"id": "089513ca240c6d672c79a46fa94a92cde28bd567", "title": "RNN Fisher Vectors for Action Recognition and Image Annotation", "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"}, {"name": "IBM Research, Haifa, Israel", "source_name": "IBM Research - Haifa, Israel", "street_adddress": "\u05e7\u05de\u05e4\u05d5\u05e1 \u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, Israel", "lat": "32.76526220", "lng": "35.01576130", "type": "company", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.03958.pdf"], "doi": []}, {"id": "8f1fcd6c3007f48eafeddf5f517c1197b2aab9cc", "title": "DPRed: Making Typical Activation and Weight Values Matter In Deep Learning Computing.", "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/1804.06732.pdf"], "doi": []}, {"id": "c0d5fa2e57646f2cc7dbb9633261af7d20f8a51e", "title": "Joint Global and Co-Attentive Representation Learning for Image-Sentence Retrieval", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240535"]}, {"id": "7ec16949adf6ea78054f6c6512f332a86960b91f", "title": "Computer Vision \u2013 ECCV 2016", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "RWTH Aachen, Aachen, Germany", "source_name": "RWTH Aachen, Aachen, Germany", "street_adddress": "Templergraben 55, 52062 Aachen, Germany", "lat": "50.78007780", "lng": "6.06568690", "type": "edu", "country": "Germany"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46475-6"]}, {"id": "277bfd1bc89044b4a523ef23f48bd053d5560657", "title": "Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08832.pdf"], "doi": []}, {"id": "3e6d2e963f9a1b417871327f648d16f2c66a4068", "title": "Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation", "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://pdfs.semanticscholar.org/3e6d/2e963f9a1b417871327f648d16f2c66a4068.pdf"], "doi": []}, {"id": "cda6d9b0cc1509ec61a43e24e9b7a14b18642aca", "title": "Convolutional Neural Networks combined with Runge-Kutta Methods", "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"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08831.pdf"], "doi": []}, {"id": "9a8662189388dd84ce1ec6e90d103959a4132a95", "title": "Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification", "addresses": [{"name": "Saarbr\u00fccken, Saarland, Germany", "source_name": "Saarbr\u00fccken, Saarland, Germany", "street_adddress": "Saarbr\u00fccken, Germany", "lat": "49.24015720", "lng": "6.99693270", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8036272"]}, {"id": "33bcc97b605f00145098d095be2841a1fa6b9a95", "title": "Order-Embeddings of Images and Language", "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.06361.pdf"], "doi": []}, {"id": "126e5a90e12aee34d33e6d301ab9533acf03c199", "title": "Multi-style Generative Network for Real-Time Transfer", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06953.pdf"], "doi": []}, {"id": "9c1f5547d98f5390e2389ce40668da83a9830487", "title": "Non-parametric Structured Output Networks", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9c1f/5547d98f5390e2389ce40668da83a9830487.pdf"], "doi": []}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "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": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "414315d44a489d09c6e1933033ffba6396974ee1", "title": "Video Visual Relation Detection", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123380"]}, {"id": "d182c6d9ac4777b5ad73afdd64b7b68d76037212", "title": "Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00260.pdf"], "doi": []}, {"id": "7f33a5fcc5db4625c66972f0e6f06540b64d4f1e", "title": "Image Surveillance Assistant Architecture : Status and Planned Extensions", "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"}, {"name": "Naval Research Laboratory", "source_name": "Naval Research Laboratory", "street_adddress": "Naval Research Laboratory Post Office, 4555, Overlook Avenue Southwest, Washington, D.C., 20375, USA", "lat": "38.82313810", "lng": "-77.01789020", "type": "mil", "country": "United States"}, {"name": "Fayetteville State University", "source_name": "Fayetteville State University", "street_adddress": "1200 Murchison Rd, Fayetteville, NC 28301, USA", "lat": "35.07422060", "lng": "-78.89248960", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f33/a5fcc5db4625c66972f0e6f06540b64d4f1e.pdf"], "doi": []}, {"id": "c0e4b6a993a35ded0d17a5e751bd135b795244ae", "title": "Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www3.cs.stonybrook.edu/~cvl/content/papers/2016/LSS_ECCV16.pdf", "http://www3.cs.stonybrook.edu/~minhhoai/papers/LSS_ECCV16.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-46466-4_49"]}, {"id": "237c0c0749aaab0f73ec0641bef2453714da3099", "title": "An Efficient Hierarchical Convolutional Neural Network for Traffic Object Detection", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500640"]}, {"id": "87697847062e7eefec99a8c3aec888e3eef5e5b9", "title": "Unsupervised Learning of Spoken Language with Visual Context", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8769/7847062e7eefec99a8c3aec888e3eef5e5b9.pdf"], "doi": []}, {"id": "15908912ce3943fc5ec281c1cbf062722cb114d7", "title": "Dynamic Graph Modules for Modeling Higher-Order Interactions in Activity Recognition", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "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": "2018", "pdf": ["https://arxiv.org/pdf/1812.05637.pdf"], "doi": []}, {"id": "60542b1a857024c79db8b5b03db6e79f74ec8f9f", "title": "Learning to Detect Human-Object Interactions", "addresses": [{"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": "2018", "pdf": ["https://arxiv.org/pdf/1702.05448.pdf"], "doi": []}, {"id": "41d9719922c81d14f2a39392285c5789f5ea4282", "title": "Head and Body Orientation Estimation Using Convolutional Random Projection Forests", "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": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8219761"]}, {"id": "6459cf454b87fded65a223a30341e5304519a6aa", "title": "Integrated Object Detection and Tracking with Tracklet-Conditioned Detection", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11167.pdf"], "doi": []}, {"id": "7f836c047bc86d52e3a28098b53311cb2186acaa", "title": "Deep Compositional Question Answering with Neural Module Networks", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7f83/6c047bc86d52e3a28098b53311cb2186acaa.pdf"], "doi": []}, {"id": "5f5068645a5cebf923093542302c1fa21e387cee", "title": "ChipGAN: A Generative Adversarial Network for Chinese Ink Wash Painting Style Transfer", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240655"]}, {"id": "84ed65bda3de8a17526a0ad06ae3777fbbbeef20", "title": "Adapting Object Detectors from Images to Weakly Labeled Videos", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/84ed/65bda3de8a17526a0ad06ae3777fbbbeef20.pdf"], "doi": []}, {"id": "f85be6a31b74d6da6f490635d314306d77d0b6c7", "title": "Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog", "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/1802.03881.pdf"], "doi": []}, {"id": "bf8e413869e96afa15ef3ff884cc7739eafa8308", "title": "Deep conditional neural network for image segmentation", "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": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552924", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552924", "http://doi.org/10.1109/ICME.2016.7552924"]}, {"id": "7dcaf1ef07a593a987f3b529c2ad1e977c0c7196", "title": "Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01452.pdf"], "doi": []}, {"id": "1bfc74bad04b407d1792a70d73a3f5dc0be0506d", "title": "Cross-Dataset Adaptation for Visual Question Answering", "addresses": [{"name": "U. of Southern California", "source_name": "U. of Southern California", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03726.pdf"], "doi": []}, {"id": "516d57bbd02a6938a99b45691a3d7864c2fdc70a", "title": "DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification", "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": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.11478.pdf"], "doi": []}, {"id": "d0a934ef5b4edf7ebdc2276048534e4c9acf5a76", "title": "Person Retrieval in Surveillance Video using Height, Color and Gender", "addresses": [{"name": "L. D. College of Engineering, India", "source_name": "L. D. College of Engineering, India", "street_adddress": "120, Circular Road, University Area, Ahmedabad, Gujarat 380015, India", "lat": "23.03380000", "lng": "72.54658400", "type": "edu", "country": "India"}, {"name": "Ahmedabad University", "source_name": "Ahmedabad University", "street_adddress": "School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India", "lat": "23.03787430", "lng": "72.55180046", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639145"]}, {"id": "ce9287a47f00d06ef75fe3ace9adbd7691b6e844", "title": "Large-Scale Visual Relationship Understanding", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.10660.pdf"], "doi": []}, {"id": "c7132da9421bfa06fbc859d6c3d6e621bd7bf472", "title": "Multimodal Deep Embedding via Hierarchical Grounded Compositional Semantics", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7562283"]}, {"id": "c8b592fcf2ed2f75799b94c428d2ccdf1e82c5f7", "title": "RUC-Tencent at ImageCLEF 2015: Concept Detection, Localization and Sentence Generation", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c8b5/92fcf2ed2f75799b94c428d2ccdf1e82c5f7.pdf"], "doi": []}, {"id": "ea8c1ac5a1594d6441d10914e0ccc4bd3e9eadfa", "title": "Anchor Box Optimization for Object Detection", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00469.pdf"], "doi": []}, {"id": "d4a7259340ece685b9dacb390eea10c6684a05b3", "title": "Object Detection based on Region Decomposition and Assembly", "addresses": [{"name": "Incheon National University", "source_name": "Incheon National University, Incheon, South Korea", "street_adddress": "119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea", "lat": "37.37505480", "lng": "126.63289980", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08225.pdf"], "doi": []}, {"id": "c733e4a14b51623120da9b4571b4409bc99ab0cd", "title": "Mainstream: Dynamic Stem-Sharing for Multi-Tenant Video Processing", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2d64/9992d78efd47b22c9a4dcb52386a951b54ea.pdf"], "doi": []}, {"id": "4328ec9d98eff5d7eb70997f76d81b27849f3220", "title": "Scalable, High-Quality Object Detection", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "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": "2014", "pdf": ["https://arxiv.org/pdf/1412.1441.pdf"], "doi": []}, {"id": "e304e516fd4e1499b616f120795600eb688fa93e", "title": "People and Vehicles in Danger - A Fire and Flood Detection System in Social Media", "addresses": [{"name": "CERTH-ITI, Thessaloniki, Greece", "source_name": "CERTH-ITI, Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8448732", "http://doi.org/10.1109/IVMSPW.2018.8448732"]}, {"id": "438d4c181362386590eb703c3b65934a6acbbbdc", "title": "A Multi-Oriented Scene Text Detector with Position-Sensitive Segmentation", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206043"]}, {"id": "29b1a44d1e1ffa05c2bf7f4be931c5045f427718", "title": "ON GENERIC OBJECT RECOGNITION TECHNIQUES : CHALLENGES AND OPPORTUNITIES Prof", "addresses": [{"name": "Nirma University", "source_name": "Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India", "street_adddress": "Sarkhej-Gandhinagar Highway, Gota, Ahmedabad, Gujarat 382481, India", "lat": "23.12838620", "lng": "72.54485080", "type": "edu", "country": "India"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/29b1/a44d1e1ffa05c2bf7f4be931c5045f427718.pdf"], "doi": []}, {"id": "0005a23c0db792ac9d0f5d408c39240ffe4c1d57", "title": "Understanding Fake Faces", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08391.pdf"], "doi": []}, {"id": "f660ea723b62f69b9f4c439724a6b73357e1d3c3", "title": "Survey on the attention based RNN model and its applications in computer vision", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06823.pdf"], "doi": []}, {"id": "057d5f66a873ec80f8ae2603f937b671030035e6", "title": "Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04048.pdf"], "doi": []}, {"id": "05fa7085663bbbd1057c0d240158091930c59c6a", "title": "MovieQA: Understanding Stories in Movies through Question-Answering", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02902.pdf"], "doi": []}, {"id": "2fe87224a5b8db29f72936c1cae17389e1c553ad", "title": "ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06815.pdf"], "doi": []}, {"id": "bb9e418469d018be7f5ac2c4b2435ccac50088a3", "title": "Deep Learning\u2013Based Multimedia Analytics: A Review", "addresses": [{"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3279952"]}, {"id": "4634bf44a0c994e2bed89686225f8cef601a0224", "title": "NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain", "addresses": [{"name": "Lister Hill National Center for Biomedical Communications", "source_name": "Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA", "street_adddress": "8600 Rockville Pike, Bethesda, MD 20894, USA", "lat": "38.99595080", "lng": "-77.09883230", "type": "gov", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4634/bf44a0c994e2bed89686225f8cef601a0224.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "1687d0120e937d5efe2022cbeab19b38edba0608", "title": "A 2 A : Attention to Attention Reasoning for Movie Question Answering", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1687/d0120e937d5efe2022cbeab19b38edba0608.pdf"], "doi": []}, {"id": "dbf777403156adda2d551a973379edd3e2bc5aaa", "title": "Interpretable Explanations of Black Boxes by Meaningful Perturbation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03296.pdf"], "doi": []}, {"id": "4d925db7c9e3cca2e8fed644f750d218a48cd081", "title": "Automatic Concept Discovery from Parallel Text and Visual Corpora", "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": "2015", "pdf": ["https://arxiv.org/pdf/1509.07225.pdf"], "doi": []}, {"id": "d2b2cb1d5cc1aa30cf5be7bcb0494198934caabb", "title": "A Restricted Visual Turing Test for Deep Scene and Event Understanding", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01715.pdf"], "doi": []}, {"id": "07ca470ed3be3a476b6fc1917bbbf4182846d1db", "title": "Transforming sensor data to the image domain for deep learning \u2014 An application to footstep detection", "addresses": [{"name": "University of Fribourg", "source_name": "University of Fribourg", "street_adddress": "Avenue de l'Europe 20, 1700 Fribourg, Switzerland", "lat": "46.80635700", "lng": "7.15200600", "type": "edu", "country": "Switzerland"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01077.pdf"], "doi": []}, {"id": "9dde6ed569684356c46217fa53224272b668bae8", "title": "Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07613.pdf"], "doi": []}, {"id": "eff328e0ecfb9a7a2d6664ee38aa32a61c7b9f42", "title": "Visual Question Reasoning on General Dependency Tree", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00105.pdf"], "doi": []}, {"id": "6115445ca062b8f865f0b447c059813088b9dd49", "title": "A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07810.pdf"], "doi": []}, {"id": "c8e1c1a82b76d7bfd69c04ab6ab057bb946e262f", "title": "Towards Deep Cellular Phenotyping in Placental Histology", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03270.pdf"], "doi": []}, {"id": "1be7ecc7100bb5fdbcff7f5f6191a9b57165fa2c", "title": "Deep Learning for Classification of Colorectal Polyps on Whole-slide Images", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01550.pdf"], "doi": []}, {"id": "290941887c37547462285152ff82796ad71dd757", "title": "Snuba: Automating Weak Supervision to Label Training Data", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df8d/c49f33ac02e2f87aac8343869b2affaf4808.pdf"], "doi": []}, {"id": "71de9b3b8f482863d544da0f26ac2876b4fc210a", "title": "Who Are Raising Their Hands ? Hand-Raiser Seeking Based on Object Detection and Pose Estimation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/71de/9b3b8f482863d544da0f26ac2876b4fc210a.pdf"], "doi": []}, {"id": "cb3e91a4c800c60c3f734dd77a64ced7d81e570e", "title": "Grounded Objects and Interactions for Video Captioning", "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/1711.06354.pdf"], "doi": []}, {"id": "4e83df2bf849eb6af24bf919ddc7bb25c7249c39", "title": "Fusion that matters: convolutional fusion networks for visual recognition", "addresses": [{"name": "Leiden University", "source_name": "Leiden University, Leiden, The Netherlands", "street_adddress": "Rapenburg 70, 2311 EZ Leiden, Netherlands", "lat": "52.15714850", "lng": "4.48520900", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5691-4"]}, {"id": "0e36ada8cb9c91f07c9dcaf196d036564e117536", "title": "Much Ado About Time: Exhaustive Annotation of Temporal Data", "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": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07429.pdf"], "doi": []}, {"id": "d68a6bf394f8f6440426a84d8494e83d08aa1535", "title": "Automatic Portrait Segmentation for Image Stylization", "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": "2016", "pdf": ["http://xiaoyongshen.me/webpage_portrait/papers/portrait_eg16.pdf"], "doi": ["https://doi.org/10.1111/cgf.12814"]}, {"id": "db640eddc51258cf6b11e442745d9a4bd5d6995b", "title": "Simple Baselines for Human Pose Estimation and Tracking", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06208.pdf"], "doi": []}, {"id": "e1f041594fa37d407c80b28a13680a9ddc081c49", "title": "Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11232.pdf"], "doi": []}, {"id": "bb1dc1e9e9c20d99b55f37b9e635457af86a065f", "title": "Neural Ctrl-F: Segmentation-Free Query-by-String Word Spotting in Handwritten Manuscript Collections", "addresses": [{"name": "Uppsala University", "source_name": "Uppsala University, Uppsala, Sweden", "street_adddress": "Uppsala, 752 36 Uppsala, Sweden", "lat": "59.85090050", "lng": "17.63000930", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07645.pdf"], "doi": []}, {"id": "7902309d3c5ab2e1e3a1f08503dc39108e1639dc", "title": "Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01984.pdf"], "doi": []}, {"id": "211fe99400bde5116efea3b42719d00a34931dcd", "title": "Multimodal Differential Network for Visual Question Generation", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03986.pdf"], "doi": []}, {"id": "50ab5859994c76dd69f2ef6c770888408d9ae5d0", "title": "Intention Oriented Image Captions with Guiding Objects", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.07662.pdf"], "doi": []}, {"id": "fbe3ba628fa8435bf1ad4ed153c93109624b8dff", "title": "Understanding the Message of Images with Knowledge Base Traversals", "addresses": [{"name": "University of Mannheim", "source_name": "University of Mannheim, Mannheim, Germany", "street_adddress": "68131 Mannheim, Germany", "lat": "49.48371060", "lng": "8.46223330", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2970414"]}, {"id": "857fb344977e5181bf5a99593ceba09a158d412c", "title": "VCI 2 R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task", "addresses": [{"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/857f/b344977e5181bf5a99593ceba09a158d412c.pdf"], "doi": []}, {"id": "a799babbbd56a047feee85d09e57e2c240c5f50c", "title": "Image describing based on bidirectional LSTM and improved sequence sampling", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078733"]}, {"id": "d4ea0438b6c0479a7d7611130a0dc242a22f93eb", "title": "Pose2Instance: Harnessing Keypoints for Person Instance Segmentation", "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"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01152.pdf"], "doi": []}, {"id": "66652367a369d18e1845dd14220dc94a9748c9fd", "title": "Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification", "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": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"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": "2017", "pdf": ["https://arxiv.org/pdf/1702.05891.pdf"], "doi": []}, {"id": "6f44303f9664a4ceabd0f4bc74cb3886aad5012f", "title": "An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"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": ["https://arxiv.org/pdf/1809.06079.pdf"], "doi": []}, {"id": "d2796a0d1ba7ed9287a9db6f4714585b8508871f", "title": "Human Centred Object Co-Segmentation", "addresses": [{"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": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.03774.pdf"], "doi": []}, {"id": "68d96226fb71daad7d1a4ccbda267062244d9bc0", "title": "Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books", "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"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06724.pdf"], "doi": []}, {"id": "f9e3bef2ffec5bd1e62003a3f1d8f735265b4d2f", "title": "ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks", "addresses": [{"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"}, {"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/1810.07248.pdf"], "doi": []}, {"id": "5a546cd0e8622b32cfdfd0358041f7d7ab00b5d4", "title": "SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08596.pdf"], "doi": []}, {"id": "e0ffda149d1d81fff507953377e08cf4f718d8ae", "title": "Image Captioning with both Object and Scene Information", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984069"]}, {"id": "ee53c9480132fc0d09b1192226cb2c460462fd6d", "title": "Channel Pruning for Accelerating Very Deep Neural Networks", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06168.pdf"], "doi": []}, {"id": "2453dd38cde21f3248b55d281405f11d58168fa9", "title": "Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Multi-Scale_Patch_Aggregation_CVPR_2016_paper.pdf", "http://www.cse.cuhk.edu.hk/~leojia/papers/mpa_cvpr16.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_Multi-Scale_Patch_Aggregation_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780711", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.342", "http://doi.org/10.1109/CVPR.2016.342"]}, {"id": "0abd1a332717f540f1e3297a9eedd9633ad9c3a9", "title": "From UI Design Image to GUI Skeleton: A Neural Machine Translator to Bootstrap Mobile GUI Implementation", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3180240"]}, {"id": "51a03fe7cbcf5c650b5dbdba0bf14be8a45cbaee", "title": "Deep Triplet Quantization", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Tsinghua University & Beijing National Research Center for Information Science and Technology", "source_name": "Tsinghua University & Beijing National Research Center for Information Science and Technology, Beijing, China", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240516"]}, {"id": "85a65932f30b05532e259a99bd6a179af20ab267", "title": "HashNet: Deep Learning to Hash by Continuation", "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": "University of Illinois at Chicago", "source_name": "University of Illinois at Chicago", "street_adddress": "University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA", "lat": "41.86898915", "lng": "-87.64856256", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00758.pdf"], "doi": []}, {"id": "1ed5c62eec52380c285daf2ffa7576d96e4ac150", "title": "Modeling Image Virality with Pairwise Spatial Transformer Networks", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07914.pdf"], "doi": []}, {"id": "6f1c84d5a137ad14e5de9a8728fced8044d05b79", "title": "SketchyScene: Richly-Annotated Scene Sketches", "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"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02473.pdf"], "doi": []}, {"id": "e8cda2c754670850ec722799640c6cb42dfb8199", "title": "4D Generic Video Object Proposals", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09260.pdf"], "doi": []}, {"id": "5abc8b9ac261f320cae1ce6676a3f05038b93436", "title": "Mixed Supervised Object Detection with Robust Objectness Transfer", "addresses": [{"name": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "source_name": "National Laboratory of Pattern Recognition (NLPR) of Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304628"]}, {"id": "645f09f4bc2e6a13663564ee9032ca16e35fc52d", "title": "Interactive Demonstration of Probabilistic Predicates", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3193542"]}, {"id": "397085122a5cade71ef6c19f657c609f0a4f7473", "title": "Using Segmentation to Predict the Absence of Occluded Parts", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db11/4901d09a07ab66bffa6986bc81303e133ae1.pdf"], "doi": []}, {"id": "60ac4be07ab4b20e1b9d0879e9553f05ec581867", "title": "LabelBank: Revisiting Global Perspectives for Semantic Segmentation", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09891.pdf"], "doi": []}, {"id": "0c2cb193274217855000c98a02488885571b55bc", "title": "TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01466.pdf"], "doi": []}, {"id": "a98b63516c7d45eadf8cf4045ea114918eb3b636", "title": "Selective Refinement Network for High Performance 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": "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/1809.02693.pdf"], "doi": []}, {"id": "6a9c3011b5092daa1d0cacda23f20ca4ae74b902", "title": "Fast and Accurate Person Re-Identification with RMNet.", "addresses": [{"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02465.pdf"], "doi": []}, {"id": "3361905a9ff903142e50d5b608f4775f1c5bac1a", "title": "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.11489.pdf"], "doi": []}, {"id": "02a5b7a41ffa8518eb3b7cae9914a2bd2bbc886b", "title": "Fast Online Object Tracking and Segmentation: A Unifying Approach", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05050.pdf"], "doi": []}, {"id": "7e163ae363b62b708566f348da87750284860822", "title": "Weakly-Supervised Spatial Context 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"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02998.pdf"], "doi": []}, {"id": "e4d4346bd415c6fa9187c16a9b7f5c69f48f1ec4", "title": "Towards High Performance Video Object Detection for Mobiles", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.05830.pdf"], "doi": []}, {"id": "0ec03a13063e5811ec9461cf7af04f4f3110ccaa", "title": "Visual Question Answering with Question Representation Update (QRU)", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/2695/46925f0fd457b31c13c2870343b0aed761dc.pdf"], "doi": []}, {"id": "0f1c436aa7b1194e8660f7352315497c38ade853", "title": "GANtruth - an unpaired image-to-image translation method for driving scenarios", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01710.pdf"], "doi": []}, {"id": "be22647956f1bc8cf6f936ae3c85f5637492b6b8", "title": "Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Sharmanska_Ambiguity_Helps_Classification_2016_CVPR_supplemental.pdf", "http://sro.sussex.ac.uk/60510/1/Sharmanska_Ambiguity_Helps_Classification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780610", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.241", "http://doi.org/10.1109/CVPR.2016.241"]}, {"id": "fa5ab04ebf64de3bd57bd0729ce9ca3440258acc", "title": "Unprecedented Usage of Pre-trained CNNs on Beauty Product", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3266433"]}, {"id": "9c2e5e2ba7c5b3a555c6c72f518e3631aab23c19", "title": "RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06612.pdf"], "doi": []}, {"id": "1daaeae28270b06962eb6fcf812a368892b5dff4", "title": "Modeling Visual Context Is Key to Augmenting Object Detection Datasets", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07428.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "41aa209e9d294d370357434f310d49b2b0baebeb", "title": "Beyond caption to narrative: Video captioning with multiple sentences", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05440.pdf"], "doi": []}, {"id": "21c99706bb26e9012bfb4d8d48009a3d45af59b2", "title": "Neural Module Networks", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02799.pdf"], "doi": []}, {"id": "97ccbe3440e5a574b37753ff49165c7ee97a6eb4", "title": "Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects.", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12152.pdf"], "doi": []}, {"id": "2a4bf8d096ea9b6a84ebb6cecf98589a76806777", "title": "Evaluation of Segmentation Quality via Adaptive Composition of Reference Segmentations", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami16_segmentation_evaluation.pdf", "http://faculty.ucmerced.edu/mhyang/papers/pami17_segmentation_evaluation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7723880", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2622703", "http://doi.org/10.1109/TPAMI.2016.2622703", "https://www.ncbi.nlm.nih.gov/pubmed/27810800"]}, {"id": "7c4fdcda302b93c0a275420ddd6e249c565173ff", "title": "VISIR: Visual and Semantic Image Label Refinement", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159693"]}, {"id": "a34de6e26cf34257d6c2fdc9a1801aea46c00b08", "title": "Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport", "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": [], "doi": ["http://dl.acm.org/citation.cfm?id=3220012"]}, {"id": "b181ae8ed315ceb8f03332ba02ef0849adbe5b4c", "title": "Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language Queries", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00303.pdf"], "doi": []}, {"id": "a213405441c68a0ce415a4a842bdd6ac62c1667b", "title": "Enhancement of SSD by concatenating feature maps for object detection.", "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": "2017", "pdf": ["https://arxiv.org/pdf/1705.09587.pdf"], "doi": []}, {"id": "0e08cf0b19f0600dadce0f6694420d643ea9828b", "title": "The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals", "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": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Humayun_The_Middle_Child_ICCV_2015_paper.pdf", "http://web.engr.oregonstate.edu/~lif/Middle_Child_ICCV15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Humayun_The_Middle_Child_ICCV_2015_paper.pdf", "https://smartech.gatech.edu/bitstream/handle/1853/55478/The%20Middle%20Child%20Problem-%20Revisiting%20Parametric%20Min-cut%20and%20Seeds%20for%20Object%20Proposals.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410544", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.187", "http://doi.org/10.1109/ICCV.2015.187"]}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "5d165ff5b0b389e32809c17838a2afc218a91d62", "title": "Object Detectors Emerge in Deep Scene CNNs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6856.pdf"], "doi": []}, {"id": "dc9b95afcbd972d973f3ae29f05bbc8fa45d6a16", "title": "Learning deep structured network for weakly supervised change detection", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "ShanghaiTech University", "source_name": "ShanghaiTech University", "street_adddress": "Yueyang Rd, Xuhui Qu, Shanghai Shi, China", "lat": "31.20254500", "lng": "121.45308600", "type": "edu", "country": "China"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}, {"name": "Murdoch University", "source_name": "Murdoch University, Murdoch, WA, Australia", "street_adddress": "90 South St, Murdoch WA 6150, Australia", "lat": "-32.06651350", "lng": "115.83583130", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.02009.pdf"], "doi": []}, {"id": "9d62a78b006b09fe8f20eb7cb72e2b542cb5fbad", "title": "ImagineNet : Style Transfer from Fine Art to Graphical User Interfaces", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9d62/a78b006b09fe8f20eb7cb72e2b542cb5fbad.pdf"], "doi": []}, {"id": "0ac43cbd4c25994ea2687743c5b666d498831687", "title": "Robust Adversarial Perturbation on Deep Proposal-based Models", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05962.pdf"], "doi": []}, {"id": "95f74ce5a69fdcd2abda908724d2ab4977e72100", "title": "Using Syntax to Ground Referring Expressions in Natural Images", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10547.pdf"], "doi": []}, {"id": "01100c14d0a06376dbb0fae6fe7995f7b3aed8b6", "title": "Active learning for structured probabilistic models with histogram approximation", "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": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_030.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_030_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_030_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Sun_Active_Learning_for_2015_CVPR_paper.pdf", "https://filebox.ece.vt.edu/~dbatra/papers/slb_cvpr15.pdf", "https://www.cc.gatech.edu/~dbatra/papers/slb_cvpr15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298984", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298984", "http://doi.org/10.1109/CVPR.2015.7298984"]}, {"id": "a1b5b0697e46eecc9657954311828cc9b4113a26", "title": "Semantic Segmentation With Object Clique Potentials", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/fd6c/8c23edc6ce6bc97d44b6c739dcfe81b9dcc4.pdf"], "doi": []}, {"id": "ccd02b5cb6acee7db170c0fb7f4cf0dd64a8499f", "title": "Generation with Recursive Neural Networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ccd0/2b5cb6acee7db170c0fb7f4cf0dd64a8499f.pdf"], "doi": []}, {"id": "1cc85b17137c4d6d75e4c418976e7dceb3d7559e", "title": "Open Logo Detection Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01964.pdf"], "doi": []}, {"id": "cd7b872365cc5b5114e0ccb833e307e874a5c3aa", "title": "Video Object Segmentation with Language Referring Expressions", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08006.pdf"], "doi": []}, {"id": "1c0d70587340adc412c6e2afd71012d563c1e724", "title": "Could we create a training set for image captioning using automatic translation?", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi, Hacettepe \u00dcniversitesi, Ankara, T\u00fcrkiye", "source_name": "Bilgisayar Mühendisliği, Hacettepe Üniversitesi, Ankara, Türkiye", "street_adddress": "\u00dcniversiteler Mh., Hacettepe Beytepe Kamp\u00fcs\u00fc No:21, 06800 \u00c7ankaya/Ankara, Turkey", "lat": "39.87143010", "lng": "32.73636570", "type": "edu", "country": "Turkey"}, {"name": "Bilgisayar M\u00fchendisli\u011fi, Orta Doggu Teknik \u00dcniversitesi, Ankara, T\u00fcrkiye", "source_name": "Bilgisayar Mühendisliği, Orta Doggu Teknik Üniversitesi, Ankara, Türkiye", "street_adddress": "\u00dcniversiteler Mh., 06800 \u00c7ankaya/Ankara, Turkey", "lat": "39.89183900", "lng": "32.78334710", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["http://users.metu.edu.tr/snermin/papers/siu2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960638", "http://doi.org/10.1109/SIU.2017.7960638"]}, {"id": "e0821e6bb9efb795b4593229e4eacd6d86cef7d9", "title": "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04310.pdf"], "doi": []}, {"id": "081307db6d8d709af26f49d24041086bb09abfd1", "title": "A general description generator for human activity images based on deep understanding framework", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Guangxi University", "source_name": "Electronics and Information, Guangxi University", "street_adddress": "Chongwen Rd, Xixiangtang Qu, Nanning Shi, Guangxi Zhuangzuzizhiqu, China, 530001", "lat": "22.83760000", "lng": "108.28983900", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-015-2171-x"]}, {"id": "3b08ef7aa0cf9528da42b2b594b66e4a6f7fdb7f", "title": "Active Learning for Delineation of Curvilinear Structures", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.00747.pdf"], "doi": []}, {"id": "0e5d673111e398f6c083623e31c2f498f0bf7b5f", "title": "Resolving References to Objects in Photographs using the Words-As-Classifiers Model", "addresses": [{"name": "Bielefeld University", "source_name": "Bielefeld University", "street_adddress": "Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstra\u00dfe, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland", "lat": "52.02804210", "lng": "8.51148270", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.02125.pdf"], "doi": []}, {"id": "0910a4c470a410fac446f4026f7c8ef512ae7427", "title": "Hierarchical Question-Image Co-Attention for Visual Question Answering", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.00061.pdf"], "doi": []}, {"id": "431140620ecf6cbb7c4118a65f7f2b8f48089647", "title": "Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.08075.pdf"], "doi": []}, {"id": "8481d4160bf5a9c760b5c4de60c82f102492317b", "title": "Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02985.pdf"], "doi": []}, {"id": "8b5b8db6a2a2880c14894140ea70ceb5f96c3b9b", "title": "Learning a Text-Video Embedding from Incomplete and Heterogeneous Data", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02516.pdf"], "doi": []}, {"id": "0c2875bb47db3698dbbb3304aca47066978897a4", "title": "Recurrent Models for Situation Recognition", "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": "2017", "pdf": ["https://arxiv.org/pdf/1703.06233.pdf"], "doi": []}, {"id": "1eeca84f33079c6d7a95daf8994370b2d7a93443", "title": "Fingertip Detection and Tracking for Recognition of Air-Writing in Videos", "addresses": [{"name": "Indian Institute of Technology Bhubaneswar", "source_name": "Indian Institute of Technology Bhubaneswar, Bhubaneswar, India", "street_adddress": "Argul - Jatni Rd, Kansapada, Odisha 752050, India", "lat": "20.14389950", "lng": "85.67620330", "type": "edu", "country": "India"}, {"name": "Indian Institute of Technology Roorkee", "source_name": "Indian Institute of Technology, Roorkee", "street_adddress": "Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India", "lat": "29.86624610", "lng": "77.89587081", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03016.pdf"], "doi": []}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "84036eb97d011ed2d7c9e4eb14fa346b5347c0ad", "title": "Revisiting Pre-training: An Efficient Training Method for Image Classification", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09347.pdf"], "doi": []}, {"id": "2b0134725e7400f2211207fbe9bfb402b9fcacf3", "title": "Deep Attribute-preserving Metric Learning for Natural Language Object Retrieval", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123439"]}, {"id": "e959a426d02dd014c1346131ac38ed50114c17b7", "title": "A Focused Dynamic Attention Model for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01485.pdf"], "doi": []}, {"id": "5f94e354faeba1d330088b926d1f7886067bc93f", "title": "RefineNet : MultiPath Refinement Networks with Identity Mappings for High-Resolution Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5f94/e354faeba1d330088b926d1f7886067bc93f.pdf"], "doi": []}, {"id": "d42142285c46207a16bd4294e437d504e419a9b7", "title": "Varying image description tasks : spoken versus written descriptions", "addresses": [{"name": "Tilburg University", "source_name": "Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands", "street_adddress": "Warandelaan 2, 5037 AB Tilburg, Netherlands", "lat": "51.56314060", "lng": "5.04197360", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d421/42285c46207a16bd4294e437d504e419a9b7.pdf"], "doi": []}, {"id": "ccd99008d942b890cecd308a31ba61240eac9e54", "title": "Learning to Segment Every Thing", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.10370.pdf"], "doi": []}, {"id": "91c184e7fb0c7cce5319b8db85c1488b3861976f", "title": "Visual Question Answer Diversity", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b357/d44a34cc0f692b09a789802f5a905e12a726.pdf"], "doi": []}, {"id": "31c197a0e30f1aeb1414634968d1649e74cd8d0f", "title": "Deep correlation for matching images and text", "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"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_012.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_012_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_012_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Yan_Deep_Correlation_for_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298966", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298966", "http://doi.org/10.1109/CVPR.2015.7298966"]}, {"id": "5b8b27d1339d788eb3e0e96888c3633a7b92dc1e", "title": "Hierarchical Image Segmentation Ensemble for Objectness in RGB-D Images", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8116651"]}, {"id": "da437db062e751d49528914971ecdc868b557648", "title": "Improved Image Captioning via Policy Gradient optimization of SPIDEr", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00370.pdf"], "doi": []}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "b1db174463b0bbc54a61fcc83acfb89ad3e3d18f", "title": "Loss Functions for Multiset Prediction", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05246.pdf"], "doi": []}, {"id": "2ebadff3e2a573c947d49aba987e7917a9285ce5", "title": "Investigating the feature collection for semantic segmentation via single skip connection", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.08192.pdf"], "doi": []}, {"id": "f6ce7e947f1cfe75abda61f018c3ca7e38fceb20", "title": "NLE@MediaEval'17: Combining Cross-Media Similarity and Embeddings for Retrieving Diverse Social Images", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c352/159a5a280e2f7df34d9e8e1444c789e5b912.pdf"], "doi": []}, {"id": "bb6548b43c737dca642298c46ec4648a403e1b11", "title": "A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569822", "http://doi.org/10.1109/ITSC.2018.8569822"]}, {"id": "256623ff025f36d343588bcd0b966c1fd26afcf8", "title": "Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10860.pdf"], "doi": []}, {"id": "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "title": "Zero-Shot Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07113.pdf"], "doi": []}, {"id": "a3be1951ddb2fa2682385c7f22c2904f5c22a66d", "title": "Traffic-Sign Detection and Classification in the Wild", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Lehigh University", "source_name": "Lehigh University", "street_adddress": "Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA", "lat": "40.60680280", "lng": "-75.37824880", "type": "edu", "country": "United States"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://cg.cs.tsinghua.edu.cn/traffic-sign/0682.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Traffic-Sign_Detection_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780601", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.232", "http://doi.org/10.1109/CVPR.2016.232"]}, {"id": "012876a5f45da258675add1614ad7608a210141a", "title": "What are the Visual Features Underlying Human Versus Machine Vision?", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02704.pdf"], "doi": []}, {"id": "c5f6ed9efc222fe2773135ffb4e5c567d98e64ea", "title": "Image Captioning with Word Level Attention", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451558", "http://doi.org/10.1109/ICIP.2018.8451558"]}, {"id": "bb4650130c460f413e97b0328624a485bf094967", "title": "Dynamic Lexicon Generation for Natural Scene Images", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bb46/50130c460f413e97b0328624a485bf094967.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "43cb50f669a0d492256d11c6cc4128ba0ce79a3e", "title": "Per-Pixel Feedback for improving Semantic Segmentation", "addresses": [{"name": "Indian Institute of Technology Roorkee", "source_name": "Indian Institute of Technology, Roorkee", "street_adddress": "Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India", "lat": "29.86624610", "lng": "77.89587081", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.02861.pdf"], "doi": []}, {"id": "e7928bd33d09fd00a588617736b102063ca9d070", "title": "A Non-Technical Survey on Deep Convolutional Neural Network Architectures", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02129.pdf"], "doi": []}, {"id": "ab6c09ee2e466ceef2492f16472aeb76cd34009a", "title": "Data Augmentation for Cnn-Based People Detection in Aerial Images", "addresses": [{"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "Feng Chia University", "source_name": "Feng Chia University", "street_adddress": "\u9022\u7532\u5927\u5b78, 100, \u6587\u83ef\u8def, \u897f\u5e73\u91cc, \u897f\u5c6f\u5340, \u81fa\u4e2d\u5e02, 40724, \u81fa\u7063", "lat": "24.18005755", "lng": "120.64836072", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551501", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2018.8551501", "http://doi.org/10.1109/ICMEW.2018.8551501"]}, {"id": "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "title": "High performance and fast object detection in road environments", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310148", "http://doi.org/10.1109/IPTA.2017.8310148"]}, {"id": "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "title": "Semantic Image Segmentation via Deep Parsing Network", "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": "2015", "pdf": ["https://arxiv.org/pdf/1509.02634.pdf"], "doi": []}, {"id": "3fde03e7479f2fbff16f7849a2d038dbd29b1762", "title": "SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.01771.pdf"], "doi": []}, {"id": "2fa45a5b0421578a9a0d5124678dafc689e2bf82", "title": "Fake Sentence Detection as a Training Task for Sentence Encoding", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03840.pdf"], "doi": []}, {"id": "059582bee125512b127296364e7700ebd9f80436", "title": "Action-driven 3D indoor scene evolution", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "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"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2980223"]}, {"id": "c580b0a8dc655a8831ddbb7954bb929b1f236ebc", "title": "Looking deeper and transferring attention for image captioning", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China", "source_name": "Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6228-6"]}, {"id": "537afabc561a2efa79a903f4859ca63e6592f340", "title": "Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06452.pdf"], "doi": []}, {"id": "ccd3dcbccae7d903608530bddf6381db8e723a7d", "title": "Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "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"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccd3/dcbccae7d903608530bddf6381db8e723a7d.pdf"], "doi": []}, {"id": "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "title": "Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird\u2019s \u2013Eye View", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Korea", "source_name": "Electronics and Telecommunications Research Institute, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539407", "http://doi.org/10.1109/ICTC.2018.8539407"]}, {"id": "52d9ad99874f6b76184ad9abe45e824a6568617b", "title": "Large-Scale Active Learning with Approximations of Expected Model Output Changes", "addresses": [{"name": "Friedrich Schiller University Jena", "source_name": "Computer Vision Group, Friedrich Schiller University Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/52d9/ad99874f6b76184ad9abe45e824a6568617b.pdf"], "doi": []}, {"id": "1eb4ea011a3122dc7ef3447e10c1dad5b69b0642", "title": "Contextual Visual Recognition from Images and Videos", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1eb4/ea011a3122dc7ef3447e10c1dad5b69b0642.pdf"], "doi": []}, {"id": "c5cfeac36fd9fc35de7752cd2c63939920eb1eb3", "title": "Dictionary-Guided Editing Networks for Paraphrase Generation", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08077.pdf"], "doi": []}, {"id": "72ff1a1dd7c24b51d40d2be7f337b9075bbb8d58", "title": "Where and Who? Automatic Semantic-Aware Person Composition", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01021.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "University of Nottingham Ningbo China", "source_name": "University of Nottingham Ningbo China", "street_adddress": "199 Taikang E Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.80344900", "lng": "121.56160900", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "3244699e06b145ffa65d0fbddb2ce6e5da889418", "title": "Do You See What I Mean? Visual Resolution of Linguistic Ambiguities", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1603.08079.pdf"], "doi": []}, {"id": "9e64582b644481a734b018304a22b536886ed024", "title": "ALFA: Agglomerative Late Fusion Algorithm for Object Detection", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Kazan Federal University", "source_name": "Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Russia", "street_adddress": "Kremlyovskaya St, 18, Kazan, Respublika Tatarstan, Russia, 420008", "lat": "55.79044700", "lng": "49.12143490", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545182", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545182", "http://doi.org/10.1109/ICPR.2018.8545182"]}, {"id": "c85340a0d428ff0b47f1a4d92fc92157cb7664f0", "title": "Multi-Label Music Genre Classification from Audio, Text and Images Using Deep Features", "addresses": [{"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04916.pdf"], "doi": []}, {"id": "511fad07b943f088e487ea09ffc6c89114bb3c3e", "title": "Towards an Integrated Method of Detection and Description for Face Authentication System", "addresses": [{"name": "University of Ulsan", "source_name": "University of Ulsan, Korea", "street_adddress": "93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea", "lat": "35.54374110", "lng": "129.25628430", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8430774", "http://doi.org/10.1109/HSI.2018.8430774"]}, {"id": "6bd1f2782d6c8c3066d4e7d7e3afb995d79fa3dd", "title": "Deep Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Imagery", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6bd1/f2782d6c8c3066d4e7d7e3afb995d79fa3dd.pdf"], "doi": []}, {"id": "d09a3ec68311af4ebd3cbf7ed906aadffa94a464", "title": "Pedestrian Detection by Feature Selected Self-Similarity Features", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Sichuan Open University", "source_name": "Engineering and Technology College, Sichuan Open University, Chengdu, China", "street_adddress": "\u4e00 Baiye Rd, Pixian, Chengdu Shi, Sichuan Sheng, China", "lat": "30.72886200", "lng": "103.96638100", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286891", "http://doi.org/10.1109/ACCESS.2018.2803160"]}, {"id": "e096003fc0dad2a09334044ebcc01601fdc0afd6", "title": "Subitizing with Variational Autoencoders", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00257.pdf"], "doi": []}, {"id": "43c5be1f64e0135fb3d6e43a9c33caaaa58f7213", "title": "The Emotional Impact of Audio-Visual Stimuli", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/43c5/be1f64e0135fb3d6e43a9c33caaaa58f7213.pdf"], "doi": []}, {"id": "80fc9efde5bb28550d17363d882fd5bc6d805c26", "title": "Question Type Guided Attention in Visual Question Answering", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02088.pdf"], "doi": []}, {"id": "4a9d906935c9de019c61aedc10b77ee10e3aec63", "title": "Cross Modal Distillation for Supervision Transfer", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.00448.pdf"], "doi": []}, {"id": "350af77e01e78e8e3534f42b80b5dd35a602e73c", "title": "Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning", "addresses": [{"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"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03476.pdf"], "doi": []}, {"id": "db0a4af734dab1854c2e8dfe499fe0e353226e45", "title": "Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object 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": "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": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/db0a/4af734dab1854c2e8dfe499fe0e353226e45.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "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/1611.05431.pdf"], "doi": []}, {"id": "6759fd391e3f8a1aea7673d617d3e1b04d069804", "title": "Pose Flow: Efficient Online Pose Tracking", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00977.pdf"], "doi": []}, {"id": "fa93e027e795e98405dc72f123aadebafc5d80d8", "title": "Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00287.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "4443d51f54a9df679efc5ae65115f60f8e58a1a0", "title": "Spott: On-the-Spot e-Commerce for Television Using Deep Learning-Based Video Analysis Techniques", "addresses": [{"name": "Ghent University - imec - MICT", "source_name": "Ghent University - imec - MICT, Korte Meer, Ghent", "street_adddress": "Miriam Makebaplein 1, 9000 Gent, Belgium", "lat": "51.04893030", "lng": "3.72886530", "type": "edu", "country": "Belgium"}, {"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3092834"]}, {"id": "a8fd9be2f7775b123f62094eadd59d18bbbef027", "title": "Peephole: Predicting Network Performance Before Training", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "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": "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/1712.03351.pdf"], "doi": []}, {"id": "812e11fc86e5d183337257978e5a0f26b5668218", "title": "Evaluating ResNeXt Model Architecture for Image Classification", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08700.pdf"], "doi": []}, {"id": "a71b99357b0952858f98867ed0cbc87738899e1a", "title": "ScratchDet : Training Single-Shot Object Detectors from Scratch", "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": "2018", "pdf": ["https://pdfs.semanticscholar.org/a71b/99357b0952858f98867ed0cbc87738899e1a.pdf"], "doi": []}, {"id": "faa3b7034b89c9ab7ca5360a14311f2fd36ef7b9", "title": "AutoFocus: Efficient Multi-Scale Inference", "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": "2018", "pdf": ["https://arxiv.org/pdf/1812.01600.pdf"], "doi": []}, {"id": "044e0d86e2db70d4c0b767bf0994913e90e105e3", "title": "Answer-Type Prediction for Visual Question Answering", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kafle_Answer-Type_Prediction_for_CVPR_2016_paper.pdf", "http://www.chriskanan.com/wp-content/uploads/Kafle2016.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kafle_Answer-Type_Prediction_for_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780907", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.538", "http://doi.org/10.1109/CVPR.2016.538", "http://scholarworks.rit.edu/cgi/viewcontent.cgi?article=1919&context=other"]}, {"id": "d5873c4f169227ab002366db3b55d1fede9f473f", "title": "Multi-modal deep feature learning for RGB-D object detection", "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"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://mcg.nju.edu.cn/publication/2017/xiangyang-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.07.026"]}, {"id": "a89e1fc2681a9a399cc5008ea34b5ec3fe7ca845", "title": "Improving Fast Segmentation With Teacher-Student Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08476.pdf"], "doi": []}, {"id": "55af092ce75ade8a26d2afe97d57de2191d44b5f", "title": "Unsupervised Ensemble Regression", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02965.pdf"], "doi": []}, {"id": "5f94969b9491db552ffebc5911a45def99026afe", "title": "Multimodal Learning and Reasoning for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5f94/969b9491db552ffebc5911a45def99026afe.pdf"], "doi": []}, {"id": "91a972eadf78f44bdc03cc5ebe27899091bc94e1", "title": "AutoMarkov DNNs for object classification", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900168", "http://doi.org/10.1109/ICPR.2016.7900168"]}, {"id": "55d1342900e0abc59495afd44cde0a0052367b42", "title": "Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection", "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/1808.01452.pdf"], "doi": []}, {"id": "267bd60e442d87c44eaae3290610138e63d663ab", "title": "PoseTrack: Joint Multi-person Pose Estimation and Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07727.pdf"], "doi": []}, {"id": "6583d293734d56c9dd2a34ffa5887c6c323aacf5", "title": "Integrating Local Material Recognition with Large-Scale Perceptual Attribute Discovery", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01345.pdf"], "doi": []}, {"id": "bfce448a3409d87ba281de53ed696b09119f2ba9", "title": "Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01281.pdf"], "doi": []}, {"id": "66c6aebf10410a11623e32e23295213dfd7c557f", "title": "Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}, {"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593993"]}, {"id": "267c8798a5c602dae05908b63f031dbdb81fc42b", "title": "Amodal Instance Segmentation", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.08202.pdf"], "doi": []}, {"id": "c1d1b1197667facd360196059796ab8cb7b46e96", "title": "PolyMapper: Extracting City Maps using Polygons", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01497.pdf"], "doi": []}, {"id": "a0a49f50d9b76ad4ba7ce5acd14a3d4b31a520d6", "title": "HiDDeN: Hiding Data With Deep Networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09937.pdf"], "doi": []}, {"id": "333f083671da1010cbb080c6ce607ed87c19d73d", "title": "Multiple Instance Learning Convolutional Neural Networks for object recognition", "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 Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.03155.pdf"], "doi": []}, {"id": "a2c97ced4981a4505a6aa7f26e1c499df98f525d", "title": "Shape and Pose Estimation for Closely Interacting Persons Using Multi-view Images", "addresses": [{"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}, {"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": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://www.yangangwang.com/papers/LI-SPE-2018-08.pdf"], "doi": ["http://doi.org/10.1111/cgf.13574"]}, {"id": "21819624b83b40586afce41c3c9ae7abf6c9a2ab", "title": "A vision-grounded dataset for predicting typical locations for verbs", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2181/9624b83b40586afce41c3c9ae7abf6c9a2ab.pdf"], "doi": []}, {"id": "744089e18ef246785cdec2875d2b3872ef1d71b6", "title": "Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.06370.pdf"], "doi": []}, {"id": "ff772950f66ac6a57f4201ce1f02f0013ccdc1bb", "title": "Receptive Field Block Net for Accurate and Fast Object Detection", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07767.pdf"], "doi": []}, {"id": "658c802890c7133e2ade778b5d88b68bcd0dca9c", "title": "Learning to Segment via Cut-and-Paste", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06414.pdf"], "doi": []}, {"id": "606cfdcc43203351dbb944a3bb3719695e557e37", "title": "Ex Paucis Plura : Learning Affordance Segmentation from Very Few Examples", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/606c/fdcc43203351dbb944a3bb3719695e557e37.pdf"], "doi": []}, {"id": "1bd9db88bdab930f0dd380942b65c1449383166b", "title": "Robot Classification of Human Interruptibility and a Study of Its Effects", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3277902"]}, {"id": "83e5e6fc0f086017b3e099ec063df94f47427d2c", "title": "Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech", "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/1805.12589.pdf"], "doi": []}, {"id": "39836fbbcd2a664edb31119e88870c38b83df352", "title": "Adaptively Attending to Visual Attributes and Linguistic Knowledge for Captioning", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123391"]}, {"id": "c72e6992f44ce75a40f44be4365dc4f264735cfb", "title": "Story Understanding in Video 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/1807.11122.pdf"], "doi": []}, {"id": "25dba68e4db0ce361032126b91f734f9252cae7c", "title": "DeepSetNet: Predicting Sets with Deep Neural Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08998.pdf"], "doi": []}, {"id": "3a0f23dcb731762f9cc968d63385183b301eef89", "title": "Towards Segmenting Everything That Moves", "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": "2019", "pdf": ["https://arxiv.org/pdf/1902.03715.pdf"], "doi": []}, {"id": "8bce31108f598986558e9afb1061eb988ea4f3be", "title": "Automated Image Annotation based on YOLOv3", "addresses": [{"name": "Vilnius Gediminas Technical University", "source_name": "Vilnius Gediminas Technical University, Naugarduko g. 41-413, Vilnius LT-03227, Lithuania", "street_adddress": "Naugarduko g. 41, Vilnius 03227, Lithuania", "lat": "54.67377770", "lng": "25.26622250", "type": "edu", "country": "Lithuania"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8592167"]}, {"id": "fdbe50ca6741ddad66fb289960624627c6869cfc", "title": "Weakly Semi-Supervised Deep Learning for Multi-Label Image Annotation", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"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": "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"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7317747"]}, {"id": "1855818c492d5f42dbe14814e4dd9b5733d54790", "title": "Densely Connected Discriminative Correlation Filters for Visual Tracking", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Auckland University of Technology", "source_name": "Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand", "street_adddress": "31 Symonds St, Auckland, 1010, New Zealand", "lat": "-36.85444260", "lng": "174.76761040", "type": "edu", "country": "New Zealand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359334"]}, {"id": "f857cdf601379064bde3d4738f40aed30e266dbf", "title": "Training Very Deep CNNs for General Non-Blind Deconvolution", "addresses": [{"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"}, {"name": "Union Visual Innovation Technology Co., Ltd., Shenzhen, China", "source_name": "Union Visual Innovation Technology Co., Ltd., Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8315039"]}, {"id": "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "title": "Comparison of Visual Datasets for Machine Learning", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://rvc.eng.miami.edu/Paper/2017/IRI17_Gauen.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102956", "http://doi.ieeecomputersociety.org/10.1109/IRI.2017.59", "http://doi.org/10.1109/IRI.2017.59", "http://ecommons.luc.edu/cgi/viewcontent.cgi?article=1148&context=cs_facpubs"]}, {"id": "8c4c723a74fe479c2b8af7d911817377dd6d85c9", "title": "Understanding Neural Networks Through Deep Visualization", "addresses": [{"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": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06579.pdf"], "doi": []}, {"id": "e0c3c1b9744a695cfeab11ceb23069c38844932c", "title": "Non-parametric human segmentation using support vector machine", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430551"]}, {"id": "fe0edc34d9bdf51c1544a3f70e83917e5d917681", "title": "An End-to-End Quadrilateral Regression Network for Comic Panel Extraction", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240555"]}, {"id": "e431de776590f52a5ae2be2d71900136c91b7136", "title": "Towards a Robust Interactive and Learning Social Robot", "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": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e431/de776590f52a5ae2be2d71900136c91b7136.pdf"], "doi": []}, {"id": "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "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": [], "doi": ["http://doi.org/10.1007/978-3-030-01228-1"]}, {"id": "62a6220c8cb5b74e958870e52affd9e7542216fc", "title": "Street object detection / tracking for AI city traffic analysis", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397669"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "164f3b9740d9ceb14658237fddede0f86b5e0c47", "title": "Deep Category-Aware Semantic Edge 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": "", "pdf": ["https://pdfs.semanticscholar.org/1b61/41d3fbe8b97fd414ec931a47aa1d019347d9.pdf"], "doi": []}, {"id": "30f464c09779c6210397204901d025c0def1fe10", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "64a5709d41f4c2ef0383cee9932e89bb58085588", "title": "Surgeon Technical Skill Assessment using Computer Vision based Analysis", "addresses": [{"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://pdfs.semanticscholar.org/64a5/709d41f4c2ef0383cee9932e89bb58085588.pdf"], "doi": []}, {"id": "0c65245bff0004961a5173709400479addbb9ee1", "title": "SemanticFusion: Dense 3D semantic mapping with convolutional neural networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989538"]}, {"id": "24e680c5e7f59b72984ebc344dfba0f9573fb38c", "title": "On the difficulty of a distributional semantics of spoken language", "addresses": [{"name": "Tilburg University", "source_name": "Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands", "street_adddress": "Warandelaan 2, 5037 AB Tilburg, Netherlands", "lat": "51.56314060", "lng": "5.04197360", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08869.pdf"], "doi": []}, {"id": "2e84deb2fbc518c0ed0ba4158fc063060e5ac1b3", "title": "Real-time Progressive 3D Semantic Segmentation for Indoor Scene", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}, {"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00257.pdf"], "doi": []}, {"id": "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "title": "Recognition in Terra Incognita", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04975.pdf"], "doi": []}, {"id": "84a3478cf884b0cbba480c7c36dab565e778094b", "title": "Learning to detect chest radiographs containing lung nodules using visual attention networks", "addresses": [{"name": "King\u2019s College London", "source_name": "Institute of Psychiatry, King\u2019s College London, London, UK", "street_adddress": "16 De Crespigny Park, Camberwell, London SE5 8AF, UK", "lat": "51.47022750", "lng": "-0.09014280", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1712.00996.pdf"], "doi": []}, {"id": "fbace36d9161fbd062eefa0c005362bb210c7097", "title": "VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06288.pdf"], "doi": []}, {"id": "d012f6d7fd45051adaff8da4ce0860de9f81d445", "title": "A Deep Multi-task Learning Approach to Skin Lesion Classification", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1812.03527.pdf"], "doi": []}, {"id": "fc027fccb19512a439fc17181c34ee1c3aad51b5", "title": "Joint Multi-person Pose Estimation and Semantic Part Segmentation", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03383.pdf"], "doi": []}, {"id": "50d6dcec7f1fcbde647237d43950fa5ec59d6984", "title": "Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02110.pdf"], "doi": []}, {"id": "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "title": "2 D-Driven 3 D Object Detection in RGB-D Images", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/225c/318f3143b9b9d6c0f7a87672bd1d9d2901f4.pdf"], "doi": []}, {"id": "37e1fc37a3ee90f24d85ad6fd3e5c51d3f5ab4fd", "title": "Attentive Explanations: Justifying Decisions and Pointing to the Evidence", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.04757.pdf"], "doi": []}, {"id": "475e16577be1bfc0dd1f74f67bb651abd6d63524", "title": "DAiSEE: Towards User Engagement Recognition in the Wild", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01885.pdf"], "doi": []}, {"id": "503c16d9cb1560f13a7d6baedf8c9f889b22459d", "title": "Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02611.pdf"], "doi": []}, {"id": "18c57ddc9c0164ee792661f43a5578f7a00d0330", "title": "ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases", "addresses": [{"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02315.pdf"], "doi": []}, {"id": "f632790471b2bed7ba7c28b12cda9360ec586a63", "title": "Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02531.pdf"], "doi": []}, {"id": "197c406b95340dfcdef542db532e0f7a967b9cda", "title": "Softer-NMS: Rethinking Bounding Box Regression for Accurate Object 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": "2018", "pdf": ["https://arxiv.org/pdf/1809.08545.pdf"], "doi": []}, {"id": "0f54eacd2d9ad031a0b55166399e2f1d0f70b4b5", "title": "Joint Learning of Set Cardinality and State Distribution", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.04093.pdf"], "doi": []}, {"id": "1e54025a6b399bfc210a52a8c3314e8f570c2204", "title": "DenseCap: Fully Convolutional Localization Networks for Dense Captioning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07571.pdf"], "doi": []}, {"id": "26203d84466488b168745334935f7ca82294e3e4", "title": "Visual Reasoning by Progressive Module Networks", "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"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02453.pdf"], "doi": []}, {"id": "8b059a9851c23067afe247b59e54f3167caa9b34", "title": "Modality-Specific Cross-Modal Similarity Measurement With Recurrent Attention Network", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8401908"]}, {"id": "3796fe0e5dd10b01fc9fb486d09e61b28eedf915", "title": "Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.01034.pdf"], "doi": []}, {"id": "11a8cc3fa18ab4f7158447cc1fc8800489e82f9c", "title": "AttResNet: Attention-based ResNet for Image Captioning", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3302464"]}, {"id": "2e78e804ddfe86f112719d4a237c882f930a9d3b", "title": "Development of Real-time ADAS Object Detector for Deployment on CPU", "addresses": [{"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05894.pdf"], "doi": []}, {"id": "396aacab076a3607429f58ce442d5d57b5aaa794", "title": "Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03240.pdf"], "doi": []}, {"id": "6fe1439e40429c7cd7029ecf83ca6f36fd0c8040", "title": "Deep Matching and Validation Network: An End-to-End Solution to Constrained Image Splicing Localization and Detection", "addresses": [{"name": "Information Sciences Institute, Marina Del Rey, CA", "source_name": "Information Sciences Institute, Marina Del Rey, CA, USA", "street_adddress": "4676 Admiralty Way #1001, Marina Del Rey, CA 90292, USA", "lat": "33.98007070", "lng": "-118.44003850", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123411"]}, {"id": "5a40efdd3a50ab2e3bce106f92d921713ef068b3", "title": "Learning Saliency Prediction From Sparse Fixation Pixel Map", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00644.pdf"], "doi": []}, {"id": "745a913b6a3dd28f3d1c583e80497d6d627a9ca4", "title": "OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07102.pdf"], "doi": []}, {"id": "a43280a668f12cffdb7b4c9917984aa55b12759b", "title": "Zoom Out-and-In Network with Recursive Training for Object Proposal", "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/1702.05711.pdf"], "doi": []}, {"id": "aa7914646c6a4bbad0727cb84ab9b05e5b381af4", "title": "Framework for Evaluating Vision-based Autonomous Steering Control Model", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569717"]}, {"id": "3ab93fe26a46f8bc0999e68af71a0907a63a5e65", "title": "ESTHER: Extremely Simple Image Translation Through Self-Regularization", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3ab9/3fe26a46f8bc0999e68af71a0907a63a5e65.pdf"], "doi": []}, {"id": "1d82e7736268917cc3d87a2ee0896b03e02a5ff6", "title": "The Promise of Premise: Harnessing Question Premises in Visual Question Answering", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00601.pdf"], "doi": []}, {"id": "58d16e23e1192be4acaf6a29c1f5995817146554", "title": "Bringing back simplicity and lightliness into neural image captioning", "addresses": [{"name": "University of Mons", "source_name": "Faculty of Engineering, University of Mons, Belgium", "street_adddress": "Place du Parc 20, 7000 Mons, Belgium", "lat": "50.45877140", "lng": "3.95216520", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06245.pdf"], "doi": []}, {"id": "7771807cd05f78a4591f2d0b094ddd3e0bd5339a", "title": "Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors", "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": "2017", "pdf": ["https://arxiv.org/pdf/1707.06399.pdf"], "doi": []}, {"id": "b2c60061ad32e28eb1e20aff42e062c9160786be", "title": "Diverse and Controllable Image Captioning with Part-of-Speech Guidance", "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/1805.12589.pdf"], "doi": []}, {"id": "20a91b0e7c2598d327169517cdeaafc433caa700", "title": "Inshore Ship Detection Based on Mask R-CNN", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8519123"]}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "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": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "cb4fc4d49783f2049c48a062169f04eb744443ec", "title": "Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}, {"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.08474.pdf"], "doi": []}, {"id": "38262d92b09564aba747beb7150b92c92998170c", "title": "A Visual Attention Grounding Neural Model for Multimodal Machine Translation", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08266.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "paper": {"key": "coco", "name": "COCO", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "addresses": []}, "citations": [{"id": "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "title": "Asking for Help with the Right Question by Predicting Human Visual Performance", "addresses": [{"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebbc/4569b767323c5bf6917c0efdce5d172e721d.pdf"], "doi": []}, {"id": "133f1f2679892d408420d8092283539010723359", "title": "What Makes for Effective Detection Proposals?", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1502.05082.pdf"], "doi": []}, {"id": "e0ef2d1e9bcde8da814bf510a31ce3dc90919ed8", "title": "SHPD: Surveillance Human Pose Dataset and Performance Evaluation for Coarse-Grained Pose Estimation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451116", "http://doi.org/10.1109/ICIP.2018.8451116"]}, {"id": "55761bdf5cbbff5fbede8ee9d0573d1561a9254b", "title": "The Impact of Visual Saliency Prediction in Image Classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5576/1bdf5cbbff5fbede8ee9d0573d1561a9254b.pdf"], "doi": []}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "12a91c9d4a55fc93f15f4acef078c8908af3c9b9", "title": "Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance 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": "2017", "pdf": ["https://arxiv.org/pdf/1708.01642.pdf"], "doi": []}, {"id": "c32b66a9badc57e416cf15287c9c8861b264805b", "title": "Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models.", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01625.pdf"], "doi": []}, {"id": "02a4462e6c63007dda36ca5305f6b57d03f1316f", "title": "The Real-Time Detection of Traffic Participants Using YOLO Algorithm", "addresses": [{"name": "RT-RK, Institute for Computer Based Systems, Novi Sad, Serbia", "source_name": "RT-RK, Institute for Computer Based Systems, Novi Sad, Serbia", "street_adddress": "Narodnog fronta 23A, Novi Sad 21000, Serbia", "lat": "45.23963230", "lng": "19.83640040", "type": "edu", "country": "Serbia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611986"]}, {"id": "0754d3d8fbae668880a3eb91b2bce89543ea467e", "title": "Natural Language Driven Image Edits using a Semantic Image Manipulation Language (SIMPL)", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0754/d3d8fbae668880a3eb91b2bce89543ea467e.pdf"], "doi": []}, {"id": "47067114c681e93322a9152fe7ceb7a9178bb32b", "title": "Monitoring Scene Understanders with Conceptual Primitive Decomposition and Commonsense Knowledge", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4706/7114c681e93322a9152fe7ceb7a9178bb32b.pdf"], "doi": []}, {"id": "fbaceba60619d9f76f7acf6e639669cd6150049e", "title": "Automatic Semantic Content Removal by Learning to Neglect.", "addresses": [{"name": "University of California, Santa Cruz", "source_name": "University of California, Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07696.pdf"], "doi": []}, {"id": "b5cd9e5d81d14868f1a86ca4f3fab079f63a366d", "title": "Tag-based video retrieval by embedding semantic content in a continuous word space", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://ivi.fnwi.uva.nl/isis/publications/2016/AgharwalWCACV2016/AgharwalWCACV2016.pdf", "https://pure.uva.nl/ws/files/2779402/175913_AgharwalWCACV2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477706", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477706", "http://doi.org/10.1109/WACV.2016.7477706"]}, {"id": "6e3e5f5fac0bfe1d54d6d414a1a8c2d8de586eee", "title": "Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation.", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05206.pdf"], "doi": []}, {"id": "c486eeced06b1db66b7deb58496d71074b88fb86", "title": "ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch", "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": "2018", "pdf": ["https://arxiv.org/pdf/1810.08425.pdf"], "doi": []}, {"id": "a3c93737a4497350768b0dda08dbc0826670dc5b", "title": "Diagnosing State-Of-The-Art Object Proposal Methods", "addresses": [{"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.04512.pdf"], "doi": []}, {"id": "bc2856e70ad3c8fe439dec6cc6a2e03d6e090fb7", "title": "What value high level concepts in vision to language problems ?", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ffcc/bb8218b3af88fb7ea9dcd89557cd0156fba7.pdf"], "doi": []}, {"id": "365117e2e47b83ec70014058de13d167619094ad", "title": "Adaptive Object Detection Using Adjacency and Zoom Prediction", "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"}, {"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": "2016", "pdf": ["https://arxiv.org/pdf/1512.07711.pdf"], "doi": []}, {"id": "ad5950257e053b08657ea298f7b89ba358b8bfcf", "title": "Textually Enriched Neural Module Networks for Visual Question Answering", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08697.pdf"], "doi": []}, {"id": "01efec88d36070dc3bc49f341a77476f74d373bc", "title": "Generation and Comprehension of Unambiguous Object Descriptions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02283.pdf"], "doi": []}, {"id": "2c3e7392b865b228f5d56ab025cd3123554be5e1", "title": "Linguistic Unit Discovery from Multi-Modal Inputs in Unwritten Languages: Summary of the \u201cSpeaking Rosetta\u201d JSALT 2017 Workshop", "addresses": [{"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05092.pdf"], "doi": []}, {"id": "8b6493a65285fb72252221e7ef8ad1091bd96b32", "title": "TRAFFIC ANALYSIS USING VISUAL OBJECT DETECTION AND TRACKING", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"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://pdfs.semanticscholar.org/8b64/93a65285fb72252221e7ef8ad1091bd96b32.pdf"], "doi": []}, {"id": "7ce9e79cb63e33faa3be0c534664076e420dd7a1", "title": "Semantic Segmentation of Complex Road Environments from Aerial Images Using Convolutional Neural Networks", "addresses": [{"name": "US Army Engineer Research and Development Center, Vicksburg, MS", "source_name": "Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States", "street_adddress": "3909 Halls Ferry Rd, Vicksburg, MS 39180, USA", "lat": "32.30127170", "lng": "-90.87140670", "type": "mil", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622284", "http://doi.org/10.1109/BigData.2018.8622284"]}, {"id": "2281d8282dc6315eaa5c31821310c1a349ea18b0", "title": "Fast Efficient Object Detection Using Selective Attention", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"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/1811.07502.pdf"], "doi": []}, {"id": "7bfa04eb7ba2830a682a15206370abec49cffd2a", "title": "Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05040.pdf"], "doi": []}, {"id": "0871062654a6ddd18dba940009676aaa1230f879", "title": "Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04535.pdf"], "doi": []}, {"id": "ce142b327974580b297fb84c2c1c799f838bdda5", "title": "VADRA: Visual Adversarial Domain Randomization and Augmentation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00491.pdf"], "doi": []}, {"id": "6b6afc9557dc0670bf2792bde4c4389ac52c707f", "title": "What Action Causes This? Towards Naive Physical Action-Effect Prediction", "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"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fa4f/7ec0d1a3e67c6170638a9502cbad81873b9c.pdf"], "doi": []}, {"id": "1536579229a334640735725e0b886f8d03aca1e8", "title": "Rank of Experts: Detection Network Ensemble", "addresses": [{"name": "Incheon National University", "source_name": "Incheon National University, Incheon, South Korea", "street_adddress": "119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea", "lat": "37.37505480", "lng": "126.63289980", "type": "edu", "country": "South Korea"}, {"name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "source_name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00185.pdf"], "doi": []}, {"id": "19441b8be551e8134dd9eb33238309bc2de0a42f", "title": "Playing for Benchmarks", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07322.pdf"], "doi": []}, {"id": "597bca76d9c983f0b71ff1143d80ea91bf97cb25", "title": "Semi-automatic video object segmentation by advanced manipulation of segmentation hierarchies", "addresses": [{"name": "Disney Research Zurich", "source_name": "Disney Research Zurich", "street_adddress": "Stampfenbachstrasse 48, 8006 Z\u00fcrich, Switzerland", "lat": "47.38047690", "lng": "8.54299640", "type": "company", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.disneyresearch.com/wp-content/uploads/Semi-Automatic-Video-Object-Segmentation-by-Advanced-Manipulation-of-Segmentation-Hierarchies-Paper.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150605225535/Semi-Automatic-Video-Object-Segmentation-by-Advanced-Manipulation-of-Segmentation-Hierarchies-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153600", "http://doi.org/10.1109/CBMI.2015.7153600"]}, {"id": "db7e48d2655521c1a89b579d8cb839a95d6e6a14", "title": "Boosted Attention: Leveraging Human Attention for Image Captioning", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/db7e/48d2655521c1a89b579d8cb839a95d6e6a14.pdf"], "doi": []}, {"id": "28bf62416b5b0f3ca87332b83c3944f515505f66", "title": "Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12348.pdf"], "doi": []}, {"id": "3081b725e1764ec754bee1fe5487000b7adf7936", "title": "Slum Segmentation and Change Detection : A Deep Learning Approach", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07896.pdf"], "doi": []}, {"id": "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "title": "Training Deep Networks with Structured Layers by Matrix Backpropagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.07838.pdf"], "doi": []}, {"id": "c32b09f20badd9ce04309d7c5ebea88336a3345a", "title": "Token-level and sequence-level loss smoothing for RNN language models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05062.pdf"], "doi": []}, {"id": "4cb2d5ea093d52a9dbb5141bde20cbea576efa24", "title": "A cascaded long short-term memory (LSTM) driven generic visual question answering (VQA)", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296600", "http://doi.org/10.1109/ICIP.2017.8296600"]}, {"id": "c45681fa9d9c36a6a196017ef283ac38904f91bb", "title": "Pixel-wise object tracking", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07377.pdf"], "doi": []}, {"id": "27e15e5ae496a228653b69195e7d62a758b73cfa", "title": "Adversarial Removal of Gender from Deep Image Representations", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08489.pdf"], "doi": []}, {"id": "eddd45f8b2febf3800db7642357731cb63116acc", "title": "On the Effects of Spam Filtering and Incremental Learning for Web-Supervised Visual Concept Classification", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Welfengarten 1, 30167 Hannover, Germany", "lat": "52.38296410", "lng": "9.71969890", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912072"]}, {"id": "f2653257faa6d1b718a4cff004f4c7ad66d89c55", "title": "Advances in deep learning approaches for image tagging", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f265/3257faa6d1b718a4cff004f4c7ad66d89c55.pdf"], "doi": []}, {"id": "5b610d9492a940d3e64bbf0cea8de4622e07d8b4", "title": "Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06193.pdf"], "doi": []}, {"id": "0ab65b963f8b71e31bfec188056023147f75303e", "title": "SPNet: Superpixel Pyramid Network for Scene Parsing", "addresses": [{"name": "Beijing University of Technologyy", "source_name": "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "street_adddress": "Chaoyang, China, 100124", "lat": "39.87161100", "lng": "116.47952900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623025"]}, {"id": "98025d3d44e9379736adb1228919272ded9298ae", "title": "Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps", "addresses": [{"name": "Tokyo Institute of Technology", "source_name": "Tokyo Institute of Technology", "street_adddress": "\u6771\u4eac\u5de5\u696d\u5927\u5b66, \u539a\u6728\u8857\u9053, \u7dd1\u533a, \u753a\u7530\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 226-0026, \u65e5\u672c", "lat": "35.51675380", "lng": "139.48342251", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9802/5d3d44e9379736adb1228919272ded9298ae.pdf"], "doi": []}, {"id": "eea248baa16162da661fbb9255e2cfcd5b9f0c05", "title": "Bachelor Project Image Captioning with Convolutional Neural Networks", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eea2/48baa16162da661fbb9255e2cfcd5b9f0c05.pdf"], "doi": []}, {"id": "cc5d91b20c8769d1f040ff9a5166f76cc19d2d55", "title": "Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces", "addresses": [{"name": "CVIT, KCIS, IIIT Hyderabad, India", "source_name": "CVIT, KCIS, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.08631.pdf"], "doi": []}, {"id": "233b52f79d37363d924041e047c6b9d9609cbb17", "title": "Refining faster-RCNN for accurate object detection", "addresses": [{"name": "Kakao Corp.", "source_name": "Kakao corp., 242, Cheomdan-ro, Jeju-si, Jeju-do, Korea", "street_adddress": "242 Cheomdan-ro, Ara-dong, Cheju, Jeju-do, South Korea", "lat": "33.45073890", "lng": "126.57079340", "type": "company", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986913"]}, {"id": "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "title": "Zero-Shot Object Detection", "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"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04340.pdf"], "doi": []}, {"id": "2d541bf669dda499f86b4dd2ac4e263134a3cd4c", "title": "Pixel Objectness", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05349.pdf"], "doi": []}, {"id": "b9dc8cc479cacda1f23b91df00eb03f88cc0c260", "title": "Event Specific Multimodal Pattern Mining for Knowledge Base Construction", "addresses": [{"name": "Columbia Univeristy, New York, NY, USA", "source_name": "Columbia Univeristy, New York, NY, USA", "street_adddress": "116th St & Broadway, New York, NY 10027, United States", "lat": "40.80753550", "lng": "-73.96257270", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2964287"]}, {"id": "9528e2e8c20517ab916f803c0371abb4f0ed488b", "title": "Shallow and Deep Convolutional Networks for Saliency Prediction", "addresses": [{"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00845.pdf"], "doi": []}, {"id": "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "title": "Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10800.pdf"], "doi": []}, {"id": "98735e57075ed6e8ef9d98d7ca4895013492e35b", "title": "Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation", "addresses": [{"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.10307.pdf"], "doi": []}, {"id": "36679b7ea9eb8418410db7a6e2f15aeaf1b8e059", "title": "Weakly Supervised Vehicle Detection in Satellite Images via Multiple Instance Ranking", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546267", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546267", "http://doi.org/10.1109/ICPR.2018.8546267"]}, {"id": "0e0fbead3da9e16b03894b63efc6816fa3ef6d0e", "title": "Open-vocabulary Phrase Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07212.pdf"], "doi": []}, {"id": "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "title": "End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "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"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51f5/e7b847e65a4cd0634ed9efc6b19819742b70.pdf"], "doi": []}, {"id": "18f9a6045ba01cb079c4fa49a630d71bbd27cd92", "title": "A dataset of clinically generated visual questions and answers about radiology images", "addresses": [{"name": "Lister Hill National Center for Biomedical Communications", "source_name": "Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA", "street_adddress": "8600 Rockville Pike, Bethesda, MD 20894, USA", "lat": "38.99595080", "lng": "-77.09883230", "type": "gov", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/18f9/a6045ba01cb079c4fa49a630d71bbd27cd92.pdf"], "doi": []}, {"id": "1aac36122c07ecccfd59d912c22865801f096190", "title": "Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}, {"name": "University of Copenhagen", "source_name": "University of Copenhagen", "street_adddress": "K\u00f8benhavns Universitet, Krystalgade, K\u00f8dbyen, Vesterbro, K\u00f8benhavn, K\u00f8benhavns Kommune, Region Hovedstaden, 1165, Danmark", "lat": "55.68015020", "lng": "12.57232700", "type": "edu", "country": "Denmark"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03827.pdf"], "doi": []}, {"id": "4c7659079b3df5bc746f76b2b1685b0b539832d6", "title": "Domain Adaptive Faster R-CNN for Object Detection in the Wild", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03243.pdf"], "doi": []}, {"id": "3e16de062b9cdeecfcbda0de022f1fc4e741a2e6", "title": "Learning Visually-Grounded Semantics from Contrastive Adversarial Samples", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": ["https://arxiv.org/pdf/1806.10348.pdf"], "doi": []}, {"id": "838420cebfdad4e93221f8fe203c09155983141a", "title": "Subspace Alignment Based Domain Adaptation for RCNN Detector", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.05578.pdf"], "doi": []}, {"id": "80eab89ff1c5c2cfc1ea62e2088cfc9b62de8d35", "title": "Emergent Translation in Multi-Agent Communication", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06922.pdf"], "doi": []}, {"id": "d983ce0a7d249bb85d14a66a89225a7136cc783b", "title": "A Single-shot Object Detector with Feature Aggragation and Enhancement", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02923.pdf"], "doi": []}, {"id": "e05b4f3757a3b33324e96f8b9b71e7d4eb5a1fa9", "title": "Controllable Top-down Feature Transformer", "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": "2017", "pdf": ["https://arxiv.org/pdf/1712.02400.pdf"], "doi": []}, {"id": "35498b80ee457e409c0962e03a6e170a917c83af", "title": "Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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": "2017", "pdf": ["https://arxiv.org/pdf/1703.05446.pdf"], "doi": []}, {"id": "ba7890a5e9e51bf6181cc3c03144796cb3e5e254", "title": "Query : \" A man in a red sweatshirt performing breakdance \"", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba78/90a5e9e51bf6181cc3c03144796cb3e5e254.pdf"], "doi": []}, {"id": "24ff2797234e26bb2ffd4558eb4412df0625687e", "title": "Mind Your Language: Abuse and Offense Detection for Code-Switched Languages", "addresses": [{"name": "Adobe Systems", "source_name": "Adobe Systems", "street_adddress": "343 Preston St, Ottawa, ON K1S 1N4, Canada", "lat": "45.40242130", "lng": "-75.70955410", "type": "edu", "country": "South Korea"}, {"name": "IIIT, Delhi", "source_name": "IIIT, Delhi", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08652.pdf"], "doi": []}, {"id": "d31d4bb58f5dd67016e77352ac7600e2ba71e38f", "title": "Deep Learning Object Detection Methods for Ecological Camera Trap Data", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10842.pdf"], "doi": []}, {"id": "faf73a84c9ce13cdfc9014fa89ecde9927c8c84a", "title": "Meta Networks for Neural Style Transfer", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.04111.pdf"], "doi": []}, {"id": "0020784920bf7ff6cb51d0b6061b99fd77161c3e", "title": "Learning Instance-Aware Object Detection Using Determinantal Point Processes", "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/1805.10765.pdf"], "doi": []}, {"id": "d7ed61f57d26c192a75d088854d937d549efa37c", "title": "A Multi-Layer Approach to Superpixel-based Higher-order Conditional Random Field for Semantic Image Segmentation", "addresses": [{"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02032.pdf"], "doi": []}, {"id": "528d1ad4725277b25f17c951c7aa637f58da1c9e", "title": "Text and Object Detection on Billboards", "addresses": [{"name": "Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand", "source_name": "Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand", "street_adddress": "1 Thanon Chalong Krung, Lat Krabang, Khet Lat Krabang, Krung Thep Maha Nakhon 10520, Thailand", "lat": "13.73095530", "lng": "100.78117740", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8534879", "http://doi.org/10.1109/iciteed.2018.8534879"]}, {"id": "0c5f9f5083b9fca4dcdbc4b122099ac1f630728b", "title": "Visual Semantic Role Labeling", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04474.pdf"], "doi": []}, {"id": "f4af49a1ead3c81cc5d023878cb67c5646dd8a04", "title": "Learning a Recurrent Visual Representation for Image Caption Generation", "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": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.5654.pdf"], "doi": []}, {"id": "73b5261948b9b1e998bc84edf061efd354dac479", "title": "Watching the TV Watchers", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3214291"]}, {"id": "9d27197ecc73ac0c3a664499c62975068251bf9c", "title": "Studying Object Naming with Online Photos and Caption", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "NICTA / Australian National University", "source_name": "NICTA / Australian National University, Canberra, Australia", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814817"]}, {"id": "72d7c465ef199a9670b3da7a318b0227f5cc3229", "title": "Visual Referring Expression Recognition: What Do Systems Actually Learn?", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11818.pdf"], "doi": []}, {"id": "2c761495cf3dd320e229586f80f868be12360d4e", "title": "Revisiting Unreasonable Effectiveness of Data in Deep Learning Era", "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": "2017", "pdf": ["https://arxiv.org/pdf/1707.02968.pdf"], "doi": []}, {"id": "c0006a2268d299644e9f1b455601bcbe89ddc2b5", "title": "Semantic Video Segmentation by Gated Recurrent Flow Propagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.08871.pdf"], "doi": []}, {"id": "52a08919efb7a1d0f28eda82bacd9d495639a6b3", "title": "Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04794.pdf"], "doi": []}, {"id": "96fdc0131dc80ffa6d7b9c526e07f080414c54ec", "title": "1 Paying More A ention to Saliency : Image Captioning with Saliency and Context A ention", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}, {"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96fd/c0131dc80ffa6d7b9c526e07f080414c54ec.pdf"], "doi": []}, {"id": "59d0d7ccec2db66cad20cac5721ce54a8a058294", "title": "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.05877.pdf"], "doi": []}, {"id": "cb8f0d0e529e27c67f04e748266f084c07679755", "title": "Scene Image Synthesis from Natural Sentences Using Hierarchical Syntactic Analysis", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967193"]}, {"id": "a875c22ca30a99a013d728313420e418e398fafd", "title": "Strong-Weak Distribution Alignment for Adaptive Object Detection.", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04798.pdf"], "doi": []}, {"id": "eb7ddda1bfa709497af9d0b2010d61d659a1816f", "title": "Training CNNs from Synthetic Data for Part Handling in Industrial Environments", "addresses": [{"name": "BTU Cottbus-Senftenberg, Cottbus, Germany", "source_name": "BTU Cottbus-Senftenberg, Chair of Automation Technology, Cottbus, Germany", "street_adddress": "Platz der Deutschen Einheit 1, 03046 Cottbus, Germany", "lat": "51.76698700", "lng": "14.32695000", "type": "edu", "country": "Germany"}, {"name": "Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany", "source_name": "Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany", "street_adddress": "Stuttgarter Str. 90, 70736 Fellbach, Germany", "lat": "48.81313800", "lng": "9.26374900", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560470", "http://doi.org/10.1109/COASE.2018.8560470"]}, {"id": "3f93ad8732ed2e92f09536ad744d1111cab93522", "title": "Weakly Supervised Attention Learning for Textual Phrases Grounding", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00545.pdf"], "doi": []}, {"id": "1c5b168c29d1c8b3dc753865c741b9f3c56d0555", "title": "Auto-Encoding Scene Graphs for Image Captioning", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02378.pdf"], "doi": []}, {"id": "20af3b2a011eabfdc3021a5e78995c5ce592575c", "title": "Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment", "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"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552556", "http://doi.ieeecomputersociety.org/10.1109/TBDATA.2016.2602231", "http://doi.org/10.1109/TBDATA.2016.2602231"]}, {"id": "193a69489230de1013dff9af1232e5379cc5282f", "title": "Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia", "source_name": "Integrated Management Coastal Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/193a/69489230de1013dff9af1232e5379cc5282f.pdf"], "doi": []}, {"id": "f9f01af981f8d25f0c96ea06d88be62dabb79256", "title": "Terahertz Image Detection with the Improved Faster Region-Based Convolutional Neural Network", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f9f0/1af981f8d25f0c96ea06d88be62dabb79256.pdf"], "doi": []}, {"id": "3b8a3b4ed02a15b2ba329727596b704889123a39", "title": "Deep affordance learning for single- and multiple-instance object detection", "addresses": [{"name": "Institute for Infocomm Research Agency for Science, Technology and Research (A\u2217STAR) 1 Fusionopolis Way, #21-01 Connexis (South Tower) Singapore 138632", "source_name": "Institute for Infocomm Research Agency for Science, Technology and Research (A\u2217STAR) 1 Fusionopolis Way, #21-01 Connexis (South Tower) Singapore 138632", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://oar.a-star.edu.sg/jspui/bitstream/123456789/2242/1/1570379510(2).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227883"]}, {"id": "ade2266f249f91767b0949ae600fe1048237e567", "title": "Maya Codical Glyph Segmentation: A Crowdsourcing Approach", "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": ["http://publications.idiap.ch/downloads/papers/2017/Can_IEEETMM_2017.pdf", "http://publications.idiap.ch/downloads/reports/2016/Can_Idiap-RR-01-2017.pdf", "http://publications.idiap.ch/downloads/reports/2017/Can_Idiap-RR-01-2017.pdf", "https://infoscience.epfl.ch/record/225945/files/Can_Idiap-RR-01-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048535", "http://doi.org/10.1109/TMM.2017.2755985"]}, {"id": "989282f579fdca0ebdc890cf05cac88c29f9eb49", "title": "Benchmarking and Error Diagnosis in Multi-instance Pose Estimation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05388.pdf"], "doi": []}, {"id": "403537a81f9c295ab5770fd82abe4f7542be9200", "title": "Driver Pose Estimation by Hybrid Convolutional Network Architecture", "addresses": [{"name": "National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, China", "source_name": "National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, Shaanxi, 710049, China", "street_adddress": "Jiaoda Commerce Block, Beilin, Xi'an, Shaanxi, China, 710049", "lat": "34.24845540", "lng": "108.98873940", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623392"]}, {"id": "1695d0112d2e2c6df8bbe1d6abe18a457eba90dc", "title": "Classification of Crash and Near-Crash Events from Dashcam Videos and Telematics", "addresses": [{"name": "Verizon Connect Research, Florence, Italy", "source_name": "Verizon Connect Research, via Paisiello 16-20, Florence, 50144, Italy", "street_adddress": "Via Giovanni Paisiello, 20, 50144 Firenze FI, Italy", "lat": "43.78205540", "lng": "11.23259400", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569952", "http://doi.org/10.1109/ITSC.2018.8569952"]}, {"id": "2fc6647858a1c7d6f51c4c57368e50677f30c0a9", "title": "Simultaneous object detection and localization using convolutional neural networks", "addresses": [{"name": "Mohammed V University in Rabat", "source_name": "LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco", "street_adddress": "Angle avenues des FAR et Allal El Fassi, Hay Ryad, B.P. 8027 N.U.\u060c Rabat 10102, Morocco", "lat": "33.97023350", "lng": "-6.87447300", "type": "edu", "country": "Morocco"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354045"]}, {"id": "4066f186ff58d300090c652925ed0aed3355efec", "title": "Solving Visual Madlibs with Multiple Cues", "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": "2016", "pdf": ["https://arxiv.org/pdf/1608.03410.pdf"], "doi": []}, {"id": "5de5848dc3fc35e40420ffec70a407e4770e3a8d", "title": "WebVision Database: Visual Learning and Understanding from Web Data", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02862.pdf"], "doi": []}, {"id": "7897f6a19d5211bf6387f5c9e141c90a0cc84566", "title": "One-shot Texture Segmentation", "addresses": [{"name": "University of T\u00fcbingen", "source_name": "University of T\u00fcbingen", "street_adddress": "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "lat": "48.52947820", "lng": "9.04377400", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02654.pdf"], "doi": []}, {"id": "947f2d465df60ec49f441f02733edbeb81dde2f2", "title": "Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03517.pdf"], "doi": []}, {"id": "5b1e42e0ff78880dccdf4d90cfd5c6e3e577f923", "title": "Deep Feature Pyramid Reconfiguration 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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07993.pdf"], "doi": []}, {"id": "d7221695df4de3f34d5e4a877b71c14bc88760d2", "title": "Proposal Incorporating Structural Bias into Neural Networks", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/d722/1695df4de3f34d5e4a877b71c14bc88760d2.pdf"], "doi": []}, {"id": "dc5fc803b64b49217babab378efe29f35b697d2f", "title": "Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"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"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-017-1752-9"]}, {"id": "4f69ad0e52e37ba06db1c2b89c180f3ba331cc4a", "title": "Automatic Generation of Grounded Visual Questions", "addresses": [{"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}, {"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06530.pdf"], "doi": []}, {"id": "8060ae8621a20e5cbf6e974aab12ad34c37e9651", "title": "Intelligent surveillance system for abandoned luggage", "addresses": [{"name": "Orta Do\u011fu Teknik \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Kuzey K\u0131br\u0131s Kamp\u00fcs\u00fc, Kalkanl\u0131, Kuzey K\u0131br\u0131s", "street_adddress": "Kalkanl\u0131, G\u00fczelyurt", "lat": "35.24908700", "lng": "33.02407600", "type": "edu", "country": "Turkey"}, {"name": "Elektrik - Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Kuzey K\u0131br\u0131s Kamp\u00fcs\u00fc, Kalkanl\u0131, Kuzey K\u0131br\u0131s", "source_name": "Elektrik - Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Kuzey K\u0131br\u0131s Kamp\u00fcs\u00fc, Kalkanl\u0131, Kuzey K\u0131br\u0131s", "street_adddress": "Kalkanl\u0131, G\u00fczelyurt", "lat": "35.24908700", "lng": "33.02407600", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404327", "http://doi.org/10.1109/SIU.2018.8404327"]}, {"id": "87fa9d667f8f41eb04831356dc8d68b190693e5e", "title": "Chat-crowd: A Dialog-based Platform for Visual Layout Composition", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04081.pdf"], "doi": []}, {"id": "250c0c37947d6dc32e1923c8df99bf64dc5d7e10", "title": "Implicit Negative Sub-Categorization and Sink Diversion for Object Detection", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8125749", "http://doi.org/10.1109/TIP.2017.2779270", "https://www.ncbi.nlm.nih.gov/pubmed/29324412", "https://www.wikidata.org/entity/Q50087459"]}, {"id": "9bda68ea52bddf5365e3230761c95424ff1ddec5", "title": "SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9bda/68ea52bddf5365e3230761c95424ff1ddec5.pdf"], "doi": []}, {"id": "b674dae73fcb236ee951d8ae8a36be527d232678", "title": "A sequential guiding network with attention for image captioning", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00228.pdf"], "doi": []}, {"id": "9ded64e83d3ba51513ea00de27c0c770a02b0cf4", "title": "Image Classification using Transfer Learning from Siamese Networks based on Text Metadata Similarity", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9ded/64e83d3ba51513ea00de27c0c770a02b0cf4.pdf"], "doi": []}, {"id": "5fedae3bccf86052ed725e5925bb4ef47f9389c1", "title": "Word Prior Detection Segmentation Input \" The left guy \" Image : Query : a guy left the youth Energy", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5fed/ae3bccf86052ed725e5925bb4ef47f9389c1.pdf"], "doi": []}, {"id": "5d1d45c89ec13f3b0a83078759bb1dfbac695102", "title": "Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map", "addresses": [{"name": "PSL Research University", "source_name": "MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France", "street_adddress": "60 Boulevard Saint-Michel, 75006 Paris, France", "lat": "48.84496370", "lng": "2.33961050", "type": "edu", "country": "France"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438559"]}, {"id": "8e368144360042aad69703a6bffd56e1e72f2af4", "title": "Revisiting Graph Construction for Fast Image Segmentation", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Colorado, Denver", "source_name": "University of Colorado Denver", "street_adddress": "University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA", "lat": "39.74287785", "lng": "-105.00596398", "type": "edu", "country": "United States"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.05650.pdf"], "doi": []}, {"id": "82317f5ac40e982b8ec5b2634f1214db259ca325", "title": "Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation", "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": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08948.pdf"], "doi": []}, {"id": "205e895e03969c96f3c482b0bd26308b16a12bd0", "title": "Image Captioning with an Intermediate Attributes Layer", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/205e/895e03969c96f3c482b0bd26308b16a12bd0.pdf"], "doi": []}, {"id": "8b485d7683e54d2b9c5d5ddf4ed31770bb323dbe", "title": "Hybrid Task Cascade for Instance Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"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"}, {"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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "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": "2019", "pdf": ["https://arxiv.org/pdf/1901.07518.pdf"], "doi": []}, {"id": "637648198f9e91654ce27eaaa40512f2dc870fc1", "title": "Survey of Visual Question Answering: Datasets and Techniques", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03865.pdf"], "doi": []}, {"id": "b99588bd0393a60a0c627970ab6cab7338d08ca6", "title": "Semantic segmentation based on iterative contraction and merging", "addresses": [{"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296488", "http://doi.org/10.1109/ICIP.2017.8296488"]}, {"id": "bb127015474fdc51d4cd6b4dda7176a8c778ea49", "title": "Examining the Impact of Blur on Recognition by Convolutional Networks.", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05760.pdf"], "doi": []}, {"id": "e10ca043fae02972f19292efacddd8e0f216b70c", "title": "Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06049.pdf"], "doi": []}, {"id": "030ab7710a1307cfa2159686dabd07e2b239fb10", "title": "Crowd-Guided Ensembles: How Can We Choreograph Crowd Workers for Video Segmentation?", "addresses": [{"name": "Massachusetts Institute of Technology & ETH Z\u00fcrich", "source_name": "Massachusetts Institute of Technology & ETH Z\u00fcrich, Cambridge, MA, USA", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Qatar Computing Research Institute, Doha, Qatar", "source_name": "Qatar Computing Research Institute, Doha, Qatar", "street_adddress": "Ar-Rayyan, Qatar", "lat": "25.32159140", "lng": "51.42577380", "type": "company", "country": "Qatar"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3173685"]}, {"id": "a3d96844dc4fc3b51f3b8361c72f156800794251", "title": "BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01640.pdf"], "doi": []}, {"id": "cf2ab0e639c19877596036603a3000ce7a1deb35", "title": "Self-supervised Learning of Motion Capture", "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": "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": "2017", "pdf": ["https://arxiv.org/pdf/1712.01337.pdf"], "doi": []}, {"id": "8a12540c85c6835eb6fd36131107d82c50d2b8d0", "title": "Dense Image Representation with Spatial Pyramid VLAD Coding of CNN for Locally Robust Captioning", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09046.pdf"], "doi": []}, {"id": "697f0e24f24b016cef9474db485fe61a667f07b8", "title": "VISER: Visual Self-Regularization", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research", "source_name": "Yahoo Research, USA", "street_adddress": "1680 N Glenville Dr # 100, Richardson, TX 75081, USA", "lat": "32.97000100", "lng": "-96.70543110", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02568.pdf"], "doi": []}, {"id": "9138045b7164876f9c2d6c5891d1f3d13a147d84", "title": "Combining Weakly and Webly Supervised Learning for Classifying Food Images", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08730.pdf"], "doi": []}, {"id": "0ee3aa2a78f9680bb65a823bd9195c879572ec1c", "title": "What Makes an Object Memorable?", "addresses": [{"name": "King Abdullah University of Science and Technology", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"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": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_memorability.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Dubey_What_Makes_an_ICCV_2015_paper.pdf", "http://people.csail.mit.edu/khosla/papers/iccv2015_dubey.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Dubey_What_Makes_an_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410487", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.130", "http://doi.org/10.1109/ICCV.2015.130"]}, {"id": "bddf7da5a21a5d1915cc9ee784223adadbe0aec4", "title": "Question action relevance and editing for visual question answering", "addresses": [{"name": "George Mason University", "source_name": "George Mason University", "street_adddress": "George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA", "lat": "38.83133325", "lng": "-77.30798839", "type": "edu", "country": "United States"}, {"name": "Dipartimento di Informatica, Universit\u00e0 di Salerno, Fisciano, Italy", "source_name": "Dipartimento di Informatica, Universit\u00e0 di Salerno, Fisciano, Italy", "street_adddress": "Universit\u00e0 di Salerno Via Papa, Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.77434920", "lng": "14.78901500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6097-z"]}, {"id": "76b6577f47d6782bf75aca04e361a7b7381b4a84", "title": "Measuring and Modifying the Intrinsic Memorability of Images", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/76b6/577f47d6782bf75aca04e361a7b7381b4a84.pdf"], "doi": []}, {"id": "41a96329d93e7b06ebd6b3a761cc0d50375c5f15", "title": "Visual Learning Beyond Direct Supervision", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://www2.eecs.berkeley.edu/Pubs/TechRpts/2018/EECS-2018-128.pdf"], "doi": ["https://www.base-search.net/Record/2a66cc65fb84214dedf1e3019655a0c160d394ee4e1457c1e1301e57cce6ca94"]}, {"id": "8e325b234e9cb67c285fc256c7e51d5e326952d1", "title": "Single-Shot Bidirectional Pyramid Networks for High-Quality Object 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": "2018", "pdf": ["https://arxiv.org/pdf/1803.08208.pdf"], "doi": []}, {"id": "b90efd4e0a2267b1c47d31ead3c860acb4364cee", "title": "MetaAnchor: Learning to Detect Objects with Customized Anchors", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00980.pdf"], "doi": []}, {"id": "0489a21c77d1646ea3af48d678c3ad9645eef2a9", "title": "Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7765089", "https://www.ncbi.nlm.nih.gov/pubmed/27925605"]}, {"id": "fa2d3c78981ef0e19557e51d85b6dda05345c380", "title": "Detection of valuable left-behind items in vehicle cabins", "addresses": [{"name": "Jaguar Land Rover Research, Coventry, UK", "source_name": "Jaguar Land Rover Research, Coventry, UK", "street_adddress": "Viscount Centre C, Milburn Hill Rd, Coventry CV4 7HS, United Kingdom", "lat": "52.38558050", "lng": "-1.56086400", "type": "company", "country": "United Kingdom"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995862", "http://doi.org/10.1109/IVS.2017.7995862"]}, {"id": "0000fcfd467a19cf0e59169c2f07d730a0f3a8b9", "title": "Exploring Visual Relationship for Image Captioning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07041.pdf"], "doi": []}, {"id": "c93e26b52cb22382ed2627bf32f86fa18d034cbf", "title": "Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09509.pdf"], "doi": []}, {"id": "57922243faec5a60473fb9ec32d9adcd94fb6cc8", "title": "Identifying Most Walkable Direction for Navigation in an Outdoor Environment", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08040.pdf"], "doi": []}, {"id": "89588a697c8b81e38d3793db5055a65c4abc4845", "title": "Swap Retrieval: Retrieving Images of Cats When the Query Shows a Dog", "addresses": [{"name": "KULeuven, Leuven, Belgium", "source_name": "KULeuven, Leuven, Belgium", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749373"]}, {"id": "1b793cc5dceb98c95e816aebc2252205bfd71569", "title": "ADNet: A Deep Network for Detecting Adverts", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04115.pdf"], "doi": []}, {"id": "532c089b43983935e1001c5e35aa35440263beaf", "title": "G-Distillation: Reducing Overconfident Errors on Novel Samples", "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/1804.03166.pdf"], "doi": []}, {"id": "20e24a40dc855fa69aa3d85b4bfdcfb8c9dadb74", "title": "Multi-Networks Joint Learning for Large-Scale Cross-Modal Retrieval", "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": "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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123317"]}, {"id": "04e2b2eab1966ffb0079685baf169d4d7ad4ec8c", "title": "Detecting Sex From Handwritten Examples", "addresses": [{"name": "Independent University Bangladesh", "source_name": "Fab Lab, Independent University Bangladesh, Dhaka, Bangladesh", "street_adddress": "Independent University, Bangladesh Plot 16, \u0986\u09ab\u09a4\u09be\u09ac \u0989\u09a6\u09cd\u09a6\u09bf\u09a8 \u0986\u09b9\u09ae\u09c7\u09a6 \u09b0\u09cb\u09a1, \u09a2\u09be\u0995\u09be, Bangladesh", "lat": "23.81524690", "lng": "90.42796720", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8541214", "http://doi.org/10.1109/icscan.2018.8541214"]}, {"id": "00e19d93780ecf8f807c510a1105749d5bb1a2f3", "title": "Image Description using Deep Neural Networks", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/00e1/9d93780ecf8f807c510a1105749d5bb1a2f3.pdf"], "doi": []}, {"id": "6f3a1216e984c78e7374b3b7ab05612544d345eb", "title": "DeRPN: Taking a further step toward more general object detection", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06700.pdf"], "doi": []}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "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"}, {"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"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "10706113b871354248beb37fe5bb2f31925f7a68", "title": "A Vision-based Transfer Learning Approach for Recognizing Behavioral Symptoms in People with Dementia", "addresses": [{"name": "Edge Hill University", "source_name": "Edge Hill University", "street_adddress": "Edge Hill University, St Helens Road, West Lancashire, Lancs, North West England, England, L39 4QP, UK", "lat": "53.55821550", "lng": "-2.86904651", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639371"]}, {"id": "3921afded8bc8471d784df86f64432fb14b8ef58", "title": "Egocentric Gesture Recognition for Head-Mounted AR devices", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05380.pdf"], "doi": []}, {"id": "d9519d66f9844fcf306cc205593a55cf01090633", "title": "Image2song: Song Retrieval via Bridging Image Content and Lyric Words", "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": "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.05851.pdf"], "doi": []}, {"id": "b5bfe824fc49fe78b538ac15f21c4cd6a9d44347", "title": "Image Caption with Synchronous Cross-Attention", "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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126714"]}, {"id": "6220d0424bc7357e7e381d59baecdff91062ba81", "title": "A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1807.02480.pdf"], "doi": []}, {"id": "c8671a739a95f57946a625c3eada1f4addc60aea", "title": "Transferable Interactiveness Prior for Human-Object Interaction Detection", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08264.pdf"], "doi": []}, {"id": "e38c7d4f8a4399f402ab6bb364ec662fe897bed1", "title": "PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09190.pdf"], "doi": []}, {"id": "d3bbd57899d938e8c4bcafbbda10ceb59638e4db", "title": "Skip-Thought Vectors", "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"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06726.pdf"], "doi": []}, {"id": "11da2d589485685f792a8ac79d4c2e589e5f77bd", "title": "Show and tell: A neural image caption generator", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4555.pdf"], "doi": []}, {"id": "0ae247153afd87f98829359a8b5df0f68d788d75", "title": "A Corpus for Reasoning About Natural Language Grounded in Photographs", "addresses": [{"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": "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": ["https://arxiv.org/pdf/1811.00491.pdf"], "doi": []}, {"id": "30795da8026e875faaffa3d6f2fa03c9c5d14c55", "title": "Richer Semantic Visual and Language Representation for Video Captioning", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3127895"]}, {"id": "2675a66b3f8743cf0551f284244af4f24537c19b", "title": "Learning Visually Grounded Sentence Representations", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.06320.pdf"], "doi": []}, {"id": "5f79398057bf0bbda9ff50067bc1f2950c2a2266", "title": "Progressive Neural Architecture Search", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.00559.pdf"], "doi": []}, {"id": "02588064dd2b4b56d1dad214c1af3a7518832a59", "title": "A survey on deep neural network-based image captioning", "addresses": [{"name": "Dalian Maritime University", "source_name": "Dalian Maritime University, Dalian, China", "street_adddress": "1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China", "lat": "38.87004100", "lng": "121.53414100", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1566-y"]}, {"id": "bb93c56a44a244601daad96a7bb94e41609afc4d", "title": "Towards Improved Design and Evaluation of Epileptic Seizure Predictors", "addresses": [{"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}, {"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://biblio.ugent.be/publication/8519033/file/8520709.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7915772", "http://doi.org/10.1109/TBME.2017.2700086", "https://www.ncbi.nlm.nih.gov/pubmed/28475041", "https://www.wikidata.org/entity/Q38687464"]}, {"id": "19aa506d04d3f7241fc71b595d28b5f1bb99edad", "title": "Compact Generalized Non-local Network", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13125.pdf"], "doi": []}, {"id": "738947f9b0bc50d1b7d5cbe84856bc18fcaee386", "title": "Deep learning-based human head detection and extraction for robotic portrait drawing", "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"}, {"name": "Shenzhen Academy of Robotics, Shenzhen, Guangdong, China", "source_name": "Shenzhen Academy of Robotics, Shenzhen, Guangdong, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324594", "http://doi.org/10.1109/ROBIO.2017.8324594"]}, {"id": "80acc73e29fb324a3e01113bbeddccacaf5283f1", "title": "Generate, Segment and Replace: Towards Generic Manipulation Segmentation.", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.09729.pdf"], "doi": []}, {"id": "b4c48aa7a93f38d2eb60209120a1a8daa61c4545", "title": "Diversity in Object Proposals", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.04308.pdf"], "doi": []}, {"id": "26e425781e4090abfae65b5d68eac72282dd2e31", "title": "Image Captioning with Deep Bidirectional LSTMs", "addresses": [{"name": "University of Potsdam", "source_name": "Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.00790.pdf"], "doi": []}, {"id": "d6c3f9edf5459db8633f9155f55e6f735dd0ce8b", "title": "Edge-Cloud Collaborative Processing for Intelligent Internet of Things: A Case Study on Smart Surveillance", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3196036"]}, {"id": "f831f81f34a9c9dde41c5250b1a9dadf8ec8963b", "title": "Video Object Segmentation with Re-identification", "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": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00197.pdf"], "doi": []}, {"id": "b29c83b6ee10857e09ac3503916ae1b129642cae", "title": "Mo 2 Cap 2 : Real-time Mo bile 3 D Mo tion Cap ture with a Cap-mounted Fisheye Camera", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b29c/83b6ee10857e09ac3503916ae1b129642cae.pdf"], "doi": []}, {"id": "f3b24cdbd1e7fd94d7ad1fa077dfa051bcc8aa38", "title": "AUTOMATIC IMAGE ANNOTATION MODEL USING LSTM APPROACH", "addresses": [{"name": "Varanasi", "source_name": "Varanasi", "street_adddress": "Varanasi, Uttar Pradesh, India", "lat": "25.31764520", "lng": "82.97391440", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f3b2/4cdbd1e7fd94d7ad1fa077dfa051bcc8aa38.pdf"], "doi": []}, {"id": "4f0d7f2926061c9dd6081d95eb9755812f9a16c2", "title": "Videos as Space-Time Region Graphs", "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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01810.pdf"], "doi": []}, {"id": "ad6dedc3f56b1ef2c083cb13c2638eddf208d49b", "title": "An object based graph representation for video comparison", "addresses": [{"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296742", "http://doi.org/10.1109/ICIP.2017.8296742"]}, {"id": "cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de", "title": "Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"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/1802.07101.pdf"], "doi": []}, {"id": "d9aca4cfe6bf49056c4bc6796414355a59cf5fb5", "title": "3D-SSD: Learning Hierarchical Features from RGB-D Images for Amodal 3D Object Detection", "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/1711.00238.pdf"], "doi": []}, {"id": "11f515ead5b4a7259668f2620e808fa8ba5ea65c", "title": "Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues", "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": "2017", "pdf": ["https://arxiv.org/pdf/1611.06641.pdf"], "doi": []}, {"id": "d0593359627cd0744740ea50731d2b98ff6b1937", "title": "Short-term memory with read-only unit in neural image caption generator", "addresses": [{"name": "Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia", "source_name": "Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia", "street_adddress": "62/1 Paruyr Sevak St, Yerevan, Armenia", "lat": "40.21254620", "lng": "44.53266140", "type": "edu", "country": "Armenia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8312163"]}, {"id": "85e283564fca1d1cf4d142647561901a26f144c6", "title": "On the Origin of Deep Learning On the Origin of Deep Learning", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/85e2/83564fca1d1cf4d142647561901a26f144c6.pdf"], "doi": []}, {"id": "3e198f28343fccf502bc20191660dd090ba5356d", "title": "Accurate License Plate Recognition and Super-Resolution Using a Generative Adversarial Networks on Traffic Surveillance Video", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8552121", "http://doi.org/10.1109/icce-asia.2018.8552121"]}, {"id": "bc1d609520290e0460c49b685675eb5a57fa5935", "title": "An efficient framework for learning sentence representations", "addresses": [{"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": "2018", "pdf": ["https://arxiv.org/pdf/1803.02893.pdf"], "doi": []}, {"id": "704b46c9c255cd22b4712dcc6bc417d6fefc1e18", "title": "Learning RoI Transformer for Detecting Oriented Objects 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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00155.pdf"], "doi": []}, {"id": "7f1d7688c4923cab09bf0a548e6f1fc1dd916b51", "title": "Boundary aware image segmentation with unsupervised mixture models", "addresses": [{"name": "Technical University Dortmund", "source_name": "Image Analysis Group, Technical University Dortmund, Otto-Hahn-Str. 4, 44227 Dortmund, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296898", "http://doi.org/10.1109/ICIP.2017.8296898"]}, {"id": "0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813", "title": "Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04960.pdf"], "doi": []}, {"id": "3d22f972448a2336677ae6ff2877fae010c7dfa2", "title": "What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02043.pdf"], "doi": []}, {"id": "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "title": "Training object class detectors with click supervision Dim", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/c0ef/854f4119a74b37211aa4cc36b8c1addd9057.pdf"], "doi": []}, {"id": "0e23229289b1fbea14bc425718bc0a227d100b8e", "title": "Survey of Recent Advances in Visual Question Answering", "addresses": [{"name": "Hyderabad, India", "source_name": "Hyderabad, India", "street_adddress": "Hyderabad, Telangana, India", "lat": "17.38504400", "lng": "78.48667100", "type": "edu", "country": "India"}, {"name": "Adobe Systems", "source_name": "Adobe Systems", "street_adddress": "343 Preston St, Ottawa, ON K1S 1N4, Canada", "lat": "45.40242130", "lng": "-75.70955410", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08203.pdf"], "doi": []}, {"id": "6950b44613b7a98e860d800fdbbe1693c6444729", "title": "Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint", "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": "2018", "pdf": ["https://arxiv.org/pdf/1807.09972.pdf"], "doi": []}, {"id": "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "title": "Exploring Person Context and Local Scene Context for Object Detection.", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08177.pdf"], "doi": []}, {"id": "828ac57f755db989e2886042a85278ae4823297c", "title": "Uncovering the Temporal Context for Video Question Answering", "addresses": [{"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": "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": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-1033-7"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "69c22f1f72de76dfd4f5b90621dad4969674da1e", "title": "Convolution Neural Networks With Two Pathways for Image Style Recognition", "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": "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7945535", "http://doi.org/10.1109/TIP.2017.2710631", "https://www.ncbi.nlm.nih.gov/pubmed/28613168", "https://www.wikidata.org/entity/Q38726144"]}, {"id": "5820ba4c09695ce677a5aca6b0628c024303e60b", "title": "Semantic Correspondence: A Hierarchical Approach", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03560.pdf"], "doi": []}, {"id": "2d3d4883350a48708cdc0c260479110e5eed965a", "title": "Leveraging Visual Question Answering for Image-Caption Ranking", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01379.pdf"], "doi": []}, {"id": "7a82d83f818cdc4ac714e468446bc2499ff9caa7", "title": "Object Referring in Videos with Language and Human Gaze", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01582.pdf"], "doi": []}, {"id": "1cfbaa9af05f0eea03ac7c28cc0e588687cd8343", "title": "Self-view Grounding Given a Narrated 360{\\deg} Video", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08664.pdf"], "doi": []}, {"id": "a678b68abd4047d5342f64725f57a04647a47711", "title": "From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12772.pdf"], "doi": []}, {"id": "19d1855e021561d6da9d0200bb18e47f51cddda6", "title": "Visual Storytelling", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"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": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03968.pdf"], "doi": []}, {"id": "eecd9a070ed333077a066bfdcf776c51c2c74406", "title": "Deep image representations using caption generators", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09142.pdf"], "doi": []}, {"id": "b9566216ec1e5dcd02e3a222987f1934e44c773e", "title": "Neuron-level Selective Context Aggregation for Scene Segmentation", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"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://arxiv.org/pdf/1711.08278.pdf"], "doi": []}, {"id": "8c3cf0c579a28890e21428fcad7f09175e65e43d", "title": "Adding object detection skills to visual dialogue agents", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8c3c/f0c579a28890e21428fcad7f09175e65e43d.pdf"], "doi": []}, {"id": "e559630c5710afb0d5eb8f95141e451393bbcbd9", "title": "Factors Influencing The Performance of Image Captioning Model: An Evaluation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007136"]}, {"id": "e6d8ebfd88ee333deccce32b09ee41d271af6dc4", "title": "Grasp2Vec: Learning Object Representations from Self-Supervised Grasping", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06964.pdf"], "doi": []}, {"id": "aea6dfb43df75b176ff209f5510a0f17256a4d0a", "title": "Learning 3 D Scene Synthesis from Annotated RGB-D Images", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"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": "2016", "pdf": ["https://pdfs.semanticscholar.org/aea6/dfb43df75b176ff209f5510a0f17256a4d0a.pdf"], "doi": []}, {"id": "b7407b2ea67b8c82246f013f4966c4cac1507e60", "title": "Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b740/7b2ea67b8c82246f013f4966c4cac1507e60.pdf"], "doi": []}, {"id": "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "title": "Natural Language Object Retrieval", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.04164.pdf"], "doi": []}, {"id": "e4b9c14951cea6259dd9d522586ba2c5bb1fbcce", "title": "Social Image Captioning: Exploring Visual Attention and User Attention", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4b9/c14951cea6259dd9d522586ba2c5bb1fbcce.pdf"], "doi": []}, {"id": "cf98c333c8d7d5870c1ce5538bb0c3de3de16657", "title": "Panoptic Segmentation", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00868.pdf"], "doi": []}, {"id": "75cea964884a6f5c35e2954e56fc787ed8f9662c", "title": "Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models", "addresses": [{"name": "University of Science, Vietnam", "source_name": "University of Science, Vietnam", "street_adddress": "227 \u0110\u01b0\u1eddng Nguy\u1ec5n V\u0103n C\u1eeb, Ph\u01b0\u1eddng 4, Qu\u1eadn 5, H\u1ed3 Ch\u00ed Minh, Vietnam", "lat": "10.76291300", "lng": "106.68217170", "type": "edu", "country": "Vietnam"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03407.pdf"], "doi": []}, {"id": "ad8fc03b492590a4282df52fe998d713995d0a0c", "title": "Exploring confusing scene classes for the places dataset: Insights and solutions", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282094", "http://doi.org/10.1109/APSIPA.2017.8282094"]}, {"id": "943c372336ced4b28e15e02fe8db1f4b23bf6835", "title": "Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey", "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": "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"}, {"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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253582", "http://doi.org/10.1109/MSP.2017.2749125"]}, {"id": "4923c6bc3ab501651763f6814a8384745f3d9a4d", "title": "Visual attribute transfer through deep image analogy", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01088.pdf"], "doi": []}, {"id": "0013fae7390cbd34aade7959b4476512d8ab9aa3", "title": "Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10652.pdf"], "doi": []}, {"id": "00ca28c1c8005ae8d06c7afd0284f67c67710c43", "title": "Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12354.pdf"], "doi": []}, {"id": "a88f86093e6f2d14761d4b8cbdcadfeff496c948", "title": "Adversarial Ranking for Language Generation", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.11001.pdf"], "doi": []}, {"id": "30f33cffe390dfcc03d8df28593aebba6afafd59", "title": "Video Predictive Object Detector", "addresses": [{"name": "Queen's University", "source_name": "Queen's University, Belfast, UK", "street_adddress": "University Rd, Belfast BT7 1NN, UK", "lat": "54.58440870", "lng": "-5.93404930", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615054"]}, {"id": "e69b1314cd65a115c98082a5863b92daa4dcf9f0", "title": "Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "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"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7792699", "http://doi.org/10.1109/TMI.2016.2642839", "https://www.ncbi.nlm.nih.gov/pubmed/28026754", "https://www.wikidata.org/entity/Q39062626"]}, {"id": "fe8431a3b4313737183510d8f01003d48870d277", "title": "Superpixel Filtering for Mean Field Inference in CRFs Integrated with Convolutional Neural Networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe84/31a3b4313737183510d8f01003d48870d277.pdf"], "doi": []}, {"id": "99ef290d0eca8cfe8dc086bb1c4571e88eb876e4", "title": "Multi-label image classification with recurrently learning semantic dependencies", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-01615-0"]}, {"id": "2e0f1c89c4e099b14c4d77bd406be9f7b78d6f6d", "title": "GLA: Global\u2013Local Attention for Image Description", "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"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031355", "http://doi.org/10.1109/TMM.2017.2751140"]}, {"id": "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "title": "Computer Vision and Deep Learning for Automated Surveillance Technology", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b0c92f2a619157e2bedf15abb97ed1b0b98f.pdf"], "doi": []}, {"id": "8d0fb60adc54c168587bce2cf5b1c46ba2ac36e3", "title": "Exploiting Saliency for Object Segmentation from Image Level Labels", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08261.pdf"], "doi": []}, {"id": "55b9b1c1c5487f5f62b44340104a9c4cc2ed7c96", "title": "The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question Answering (FSVQA).", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06657.pdf"], "doi": []}, {"id": "0d57ba12a6d958e178d83be4c84513f7e42b24e5", "title": "Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02677.pdf"], "doi": []}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"], "doi": []}, {"id": "0744143542ffcb45b1ad83078c23efa9d3ec2be4", "title": "Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation", "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": "2018", "pdf": ["https://arxiv.org/pdf/1808.04818.pdf"], "doi": []}, {"id": "ee5b4fc5fafa7e883d751557b5c7863503cd92d2", "title": "Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.07177.pdf"], "doi": []}, {"id": "3f15c35d4c5ed41de9f57e06849f750e43fe80b3", "title": "JointFlow : Temporal Flow Fields for Multi Person Pose Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3f15/c35d4c5ed41de9f57e06849f750e43fe80b3.pdf"], "doi": []}, {"id": "d0e20aa3d61b77d17f005a1d24d7cf47600836ef", "title": "Rethinking Atrous Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05587.pdf"], "doi": []}, {"id": "4fa6a688f350831503d158f8f618c58d1e06bc5d", "title": "A Semi-supervised Framework for Image Captioning", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05321.pdf"], "doi": []}, {"id": "7d8c2d29deb80ceed3c8568100376195ce0914cb", "title": "Identity-Aware Textual-Visual Matching with Latent Co-attention", "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/1708.01988.pdf"], "doi": []}, {"id": "3f607dd67b456e3dfb136c70a3dae369945a6076", "title": "Improved Selective Refinement Network for 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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.06651.pdf"], "doi": []}, {"id": "357df3ee0f0c30d5c8abc5a1bdf70122322d6fbd", "title": "O BJECT DETECTORS EMERGE IN D EEP S CENE CNN S", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/08c7/a85c443935468450a162ddeccd2b945660e3.pdf"], "doi": []}, {"id": "ef12de45bd47e03451cde586697601cd7e36c3b9", "title": "Aligning Text and Document Illustrations: Towards Visually Explainable Digital Humanities", "addresses": [{"name": "University of of Modena and Reggio Emilia", "source_name": "University of of Modena and Reggio Emilia", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545064", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545064", "http://doi.org/10.1109/ICPR.2018.8545064"]}, {"id": "6cc46899b415ebef4a70068b2cbd8a50e955aeb6", "title": "Where to put the Image in an Image Caption Generator", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.09137.pdf"], "doi": []}, {"id": "3d732ba534081326eb9de70f2e370a31940c2990", "title": "Semantic image segmentation using fully convolutional neural networks with multi-scale images and multi-scale dilated convolutions", "addresses": [{"name": "Gachon University", "source_name": "Gachon University, Gyeonggi-do, South Korea", "street_adddress": "1342 Seongnam-daero, Bokjeong-dong, Sujeong-gu, Seongnam-si, Gyeonggi-do, South Korea", "lat": "37.45074520", "lng": "127.12884740", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5653-x"]}, {"id": "5ffa8cfea2f5bea0ec7cecfdf76f9478ca87df89", "title": "Context-Aware Captions from Context-Agnostic Supervision", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02870.pdf"], "doi": []}, {"id": "b9146b314812231d09587e3a9f622dda65d3cc40", "title": "A survey on social image understanding", "addresses": [{"name": "Nanjing Normal University Nanjing", "source_name": "Honors College, Nanjing Normal University Nanjing, Jiangsu, 210023, China", "street_adddress": "122 Ninghai Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210097", "lat": "32.05494300", "lng": "118.76494700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8256394", "http://doi.org/10.1109/BESC.2017.8256394"]}, {"id": "9d0c3adbee8098d47c7c0704e0841fa7daf8d161", "title": "The price of debiasing automatic metrics in natural language evalaution", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02202.pdf"], "doi": []}, {"id": "6e97a99b2879634ecae962ddb8af7c1a0a653a82", "title": "Towards Context-aware Interaction Recognition", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06246.pdf"], "doi": []}, {"id": "4cc2dc6e6b1f4575e86217a13b591f605a12b825", "title": "Consistent Optimization for Single-Shot 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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.06563.pdf"], "doi": []}, {"id": "9ac253caa50f7d94eead17ac12499226c0f05e87", "title": "Analysing object detectors from the perspective of co-occurring object categories", "addresses": [{"name": "Nokia Bell Labs, Budapest, Hungary", "source_name": "Nokia Bell Labs, Budapest, Hungary", "street_adddress": "Budapest, Hungary", "lat": "47.49791200", "lng": "19.04023500", "type": "company", "country": "Hungary"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639888"]}, {"id": "102e7bd7660357e1814c821c7f697f2eccececa4", "title": "Predicting Motivations of Actions by Leveraging Text", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "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": "2016", "pdf": ["https://arxiv.org/pdf/1406.5472.pdf"], "doi": []}, {"id": "c2f1aa6395941438501653ea262df63c812e8f71", "title": "Non-parametric human segmentation using support vector machine", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7514714", "http://doi.org/10.1109/ICCE.2016.7430551"]}, {"id": "819d1dcea397e6e671acf74adccdef5750550873", "title": "Representations for Visually Guided Actions", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/819d/1dcea397e6e671acf74adccdef5750550873.pdf"], "doi": []}, {"id": "c1de9803bd0072f017a97c0503308a7b9b4f211b", "title": "Analysis of Spatial, Temporal, and Content Characteristics of Videos in the YFCC100M Dataset", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983559"]}, {"id": "2298a1e437b4f8f2f2f016f1a98c027bf2f7f5bb", "title": "Top-Down Neural Attention by Excitation Backprop", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.00507.pdf"], "doi": []}, {"id": "afa073e5ec712423e300f21bcb2c3f17a69fa9d1", "title": "Style Transfer at 100+ FPS Via Sub-Pixel Super-Resolution", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551538", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2018.8551538", "http://doi.org/10.1109/ICMEW.2018.8551538"]}, {"id": "19317c6aa7f88c79abe03b146aa5d340a11fde3f", "title": "Object Proposal Generation With Fully Convolutional Networks", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7484700", "http://doi.org/10.1109/TCSVT.2016.2576759"]}, {"id": "6a75ef6b36489cb59c61f21f3cd09c50ad5b2995", "title": "MVTec D2S: Densely Segmented Supermarket Dataset", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08292.pdf"], "doi": []}, {"id": "02d6fb270c82c390476faffc6015b3116ddbb60c", "title": "Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd4a/bb49151220b389d9df1f19fecc3d92e0bff4.pdf"], "doi": []}, {"id": "11d256be1eb3da7789c0c9672f467079917baada", "title": "Action Classification via Concepts and Attributes", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.07824.pdf"], "doi": []}, {"id": "549d55a06c5402696e063ce36b411f341a64f8a9", "title": "Learning Deep Structure-Preserving Image-Text Embeddings", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.06078.pdf"], "doi": []}, {"id": "3f5b20c35f55417823f0201862d85af1f31e9348", "title": "Salience Biased Loss for Object Detection in Aerial Images", "addresses": [{"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08103.pdf"], "doi": []}, {"id": "cbe6739ecdb23d61f2ff74481c6b538ef953eb10", "title": "Learning to Learn: Model Regression Networks for Easy Small Sample Learning", "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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cbe6/739ecdb23d61f2ff74481c6b538ef953eb10.pdf"], "doi": []}, {"id": "a4e1a95c32e9477aa1b09073a1fd3ca129aacadc", "title": "Driver Identification System Using Convolutional Neural Network with Background Removal-based Infrared Data Augmentation", "addresses": [{"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500364", "http://doi.org/10.1109/IVS.2018.8500364"]}, {"id": "3e4d8bd8cb917db9bad1ed4382ccb266ab5fa411", "title": "Toward Efficient Simultaneous Detection and Segmentation", "addresses": [{"name": "Beijing Information Science and Technology University", "source_name": "Beijing Information Science and Technology University, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u6e05\u6cb3\u56db\u62d4\u5b50", "lat": "40.04332040", "lng": "116.34181090", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499154", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2018.8499154", "http://doi.org/10.1109/BigMM.2018.8499154"]}, {"id": "4f0b8f730273e9f11b2bfad2415485414b96299f", "title": "BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1805.04687.pdf"], "doi": []}, {"id": "4f9beb035a3d196f653e8528303fdf9ded998e22", "title": "Can You See the (Linguistic) Difference? Exploring Mass/Count Distinction in Vision", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4f9b/eb035a3d196f653e8528303fdf9ded998e22.pdf"], "doi": []}, {"id": "87e1ae939f3632f26a9878fe32674e338cb18094", "title": "C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis", "addresses": [{"name": "IIT Hyderabad, India", "source_name": "IIT Hyderabad, Kandi, Telangana, 502285, India", "street_adddress": "IITH Main Road, Near NH-65, Sangareddy, Kandi, Telangana 502285, India", "lat": "17.59470330", "lng": "78.12310540", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10238.pdf"], "doi": []}, {"id": "7277fdf51bb3fc38f254a5546c53caa4169653c9", "title": "Domain Adaptation for Neural Networks by Parameter Augmentation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00410.pdf"], "doi": []}, {"id": "32812f35efab1fc5bdbcc17d67f27bba31c720c6", "title": "Dropout during inference as a model for neurological degeneration in an image captioning network", "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/1808.03747.pdf"], "doi": []}, {"id": "9534a04de5e99a44df76ea30140f66a62e83fdaa", "title": "Iteratively Trained Interactive Segmentation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04398.pdf"], "doi": []}, {"id": "3349fab3a5e2b7c5194289bdc839f87f556ea3ef", "title": "Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3349/fab3a5e2b7c5194289bdc839f87f556ea3ef.pdf"], "doi": []}, {"id": "eb7e0dfc61f3f9993a39316ccaaa263059b3a108", "title": "Spatially Adaptive Computation Time for Residual Networks", "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", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02297.pdf"], "doi": []}, {"id": "16beefb2f8d0d61e536bf20766e485499906c2e0", "title": "Image Surveillance Assistant", "addresses": [{"name": "Naval Research Laboratory", "source_name": "Naval Research Laboratory", "street_adddress": "Naval Research Laboratory Post Office, 4555, Overlook Avenue Southwest, Washington, D.C., 20375, USA", "lat": "38.82313810", "lng": "-77.01789020", "type": "mil", "country": "United States"}], "year": "2016", "pdf": ["http://cs.umd.edu/~maynord/Image_Surveillance_Assistant.pdf", "https://www.nrl.navy.mil/itd/aic/sites/www.nrl.navy.mil.itd.aic/files/pdfs/(Maynord+%20WACV-16%20WS)%20Intelligent%20Surveillance%20Assistant.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470119", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2016.7470119", "http://doi.org/10.1109/WACVW.2016.7470119"]}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}, {"id": "edafa697ba68874d608015b521c43d04e3584992", "title": "Gated Recurrent Capsules for Visual Word Embeddings", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/edaf/a697ba68874d608015b521c43d04e3584992.pdf"], "doi": []}, {"id": "6e09a291d61f0e26ce3522a1b0fce952fb811090", "title": "Generative Attention Model with Adversarial Self-learning for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126695"]}, {"id": "46253ab8721ced8c9b94234f3a2401efde1e3f2a", "title": "Language Models for Image Captioning: The Quirks and What Works", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01809.pdf"], "doi": []}, {"id": "402324c77b7b4040810480d6947c7db92d491308", "title": "Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.08123.pdf"], "doi": []}, {"id": "64e2ea4ca45cbf1a6ef35f3448c5799354e2f603", "title": "Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection", "addresses": [{"name": "University of Sheffield", "source_name": "The University of Sheffield", "street_adddress": "University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK", "lat": "53.38152480", "lng": "-1.48068143", "type": "edu", "country": "United Kingdom"}, {"name": "National Institutes of Health (NIH) Clinical Center, Bethesda, MD", "source_name": "National Institutes of Health (NIH) Clinical Center, Bethesda, MD", "street_adddress": "10 Center Dr, Bethesda, MD 20814, USA", "lat": "39.00252720", "lng": "-77.10437890", "type": "edu", "country": "United States"}, {"name": "\u00c9cole Centrale de Lyon", "source_name": "Laboratoire LIRIS", "street_adddress": "40 Avenue Guy de Collongue, 69130 \u00c9cully, France", "lat": "45.78359660", "lng": "4.76789480", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103045"]}, {"id": "14c2321851fb5ae580a19726dd2753a525d6ad76", "title": "Grounding of Textual Phrases in Images by Reconstruction", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03745.pdf"], "doi": []}, {"id": "8176e3aea16595b3fe6afdb6c745c9eca98ece06", "title": "The Helping Hand: An Assistive Manipulation Framework Using Augmented Reality and Tongue-Drive Interfaces", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8512668", "http://doi.org/10.1109/EMBC.2018.8512668", "https://www.ncbi.nlm.nih.gov/pubmed/30440831"]}, {"id": "2bc70a13426c79c192c5e57f8a0041d8ecf628a8", "title": "Image Labeling with Markov Random Fields and Conditional Random Fields", "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", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11323.pdf"], "doi": []}, {"id": "af55a25cdd3a2c138e755d5206b35457c1f5760b", "title": "DistInit: Learning Video Representations without a Single Labeled Video", "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": "2019", "pdf": ["https://arxiv.org/pdf/1901.09244.pdf"], "doi": []}, {"id": "9a7784eea6bfa62bf2834ee0b87a3cdda46006f2", "title": "Digital Comics Image Indexing Based on Deep Learning", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9a77/84eea6bfa62bf2834ee0b87a3cdda46006f2.pdf"], "doi": []}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "8de065f412a7d739dff40044212c8506b5c52bf7", "title": "Multi-Person Pose Estimation for PoseTrack with Enhanced Part Affinity Fields", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8de0/65f412a7d739dff40044212c8506b5c52bf7.pdf"], "doi": []}, {"id": "80ef252a17d343ac7b12485c117d6df4a409dee5", "title": "Image Caption with Endogenous\u2013Exogenous Attention", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-019-09979-7"]}, {"id": "bd2a3ad4f28757791c9335033f39ac31cb84b8c7", "title": "ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06752.pdf"], "doi": []}, {"id": "8a1f46d56ef6dfa34412986a802b5affe2512000", "title": "Aided Action Recognition Using Single Images", "addresses": [{"name": "Lehigh University", "source_name": "Lehigh University", "street_adddress": "Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA", "lat": "40.60680280", "lng": "-75.37824880", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8a1f/46d56ef6dfa34412986a802b5affe2512000.pdf"], "doi": []}, {"id": "6d3d61ef9b5ff6d41badbc3d40ea23acbbc9c3fe", "title": "Learning to Evaluate Image Captioning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06422.pdf"], "doi": []}, {"id": "2df1688afdb470a9d9eee95e41fc34ebd0c9036b", "title": "Deep Multimodal Learning: An Effective Method for Video Classification", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.12563.pdf"], "doi": []}, {"id": "ed605dc1e69dccabf47044499e7ec26e30b72b58", "title": "Pre-gen Metrics: Predicting Caption Quality Metrics Without Generating Captions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-11018-5_10"]}, {"id": "c0d0ef94dd3c53c3130b5b8ce38d981929b7adb2", "title": "Weakly- and Semi-supervised Panoptic Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03575.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "43eee49e372e5299608a79f8491fcf40998028df", "title": "Complex event processing for content-based text, image, and video retrieval", "addresses": [{"name": "Army Research Laboratory, Computational and Information Sciences Directorate", "source_name": "Army Research Laboratory, Computational and Information Sciences Directorate", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}, {"name": "Army Research Laboratory, Sensors and Electron Devices Directorate", "source_name": "Army Research Laboratory, Sensors and Electron Devices Directorate", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}, {"name": "Atos Turkey, Ankara, Turkey", "source_name": "Atos Turkey, Ankara, Turkey", "street_adddress": "No: 21, \u00dcniversiteler Mh., Teknokent Silikon Bloklar, 06800 \u00c7ankaya/Ankara, Turkey", "lat": "39.89961620", "lng": "32.77396810", "type": "edu", "country": "Turkey"}, {"name": "Defence Research and Development Canada, Toronto, Ontario", "source_name": "Defence Research and Development Canada, Toronto, Ontario", "street_adddress": "1133 Sheppard Ave W, North York, ON M3K 2C9, Canada", "lat": "43.75107650", "lng": "-79.46945700", "type": "mil", "country": "Canada"}, {"name": "Defence Research and Development Canada, Valcartier, Quebec", "source_name": "Defence Research and Development Canada, Valcartier, Quebec", "street_adddress": "400 Cumberland St, Ottawa, ON K1N 1J8, Canada", "lat": "45.42826030", "lng": "-75.68804370", "type": "mil", "country": "Canada"}, {"name": "TNO, The Hague, Netherlands", "source_name": "TNO, The Hague, Netherlands", "street_adddress": "Anna van Buerenplein 1, 2595 DA Den Haag, Netherlands", "lat": "52.08227700", "lng": "4.32580700", "type": "edu", "country": "Netherlands"}, {"name": "UK Defence Science and Technology Laboratory, Porton, Salisbury, UK", "source_name": "UK Defence Science and Technology Laboratory, Porton, Salisbury, UK", "street_adddress": "Porton Down, Salisbury SP4 0JQ, UK", "lat": "51.13122970", "lng": "-1.70368420", "type": "mil", "country": "United Kingdom"}, {"name": "United States Air Force Research Laboratory, Dayton, OH", "source_name": "United States Air Force Research Laboratory, Dayton, OH", "street_adddress": "1864 4th St, Wright-Patterson AFB, OH 45433, USA", "lat": "39.79084110", "lng": "-84.09897580", "type": "mil", "country": "United States"}], "year": "2016", "pdf": ["http://www.dtic.mil/dtic/tr/fulltext/u2/1011094.pdf", "https://apps.dtic.mil/dtic/tr/fulltext/u2/1011094.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7496546"]}, {"id": "f43012db4836cf671a2a095413ba5ec6725e4a41", "title": "Deep TripletQuantization", "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": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f430/12db4836cf671a2a095413ba5ec6725e4a41.pdf"], "doi": []}, {"id": "ebe7eda4fd10caa326d57b93e8a1e2a13e09a403", "title": "TSCSet: A Crowdsourced Time-Sync Comment Dataset for Exploration of User Experience Improvement", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3172966"]}, {"id": "5ba8bb7d204e7a5a29a043792546577500e2e5c1", "title": "Background Appearance Modeling with Applications to Visual Object Detection in an Open-Pit Mine", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5ba8/bb7d204e7a5a29a043792546577500e2e5c1.pdf"], "doi": []}, {"id": "48320a4be9cc741fdb28ad72f359c449e41309cc", "title": "Manga109 dataset and creation of metadata", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011551"]}, {"id": "6701efa7f715b3c296843b8ff5414a6610711cf9", "title": "Semi-automatic image and video annotation system for generating ground truth information", "addresses": [{"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8343233", "http://doi.ieeecomputersociety.org/10.1109/ICOIN.2018.8343233", "http://doi.org/10.1109/ICOIN.2018.8343233"]}, {"id": "1334d274bca9c94fed724ecfac7e36d3789aea38", "title": "ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector", "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": "Intel Corporation, Hillsboro, OR, USA", "source_name": "Intel Corporation, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.05810.pdf"], "doi": []}, {"id": "632fa986bed53862d83918c2b71ab953fd70d6cc", "title": "What Face and Body Shapes Can Tell About Height", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10355.pdf"], "doi": []}, {"id": "2bf41bf420c8d86dd1bffbacd28c70fa8b12b6dd", "title": "Counting the uncountable: deep semantic density estimation from Space", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07091.pdf"], "doi": []}, {"id": "e4845fb1e624965d4f036d7fd32e8dcdd2408148", "title": "YOLOv3: An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02767.pdf"], "doi": []}, {"id": "663617c728b18e333acb5279e9b1095eeda9287e", "title": "The 2018 DAVIS Challenge on Video Object Segmentation-CVPR 2018 Workshops", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bd1c/72de32b9dafc2c8b392ed26a9977af62fe58.pdf"], "doi": []}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "15147ca5866dc5fbcfa0d91259798599004d051d", "title": "CO-FILTERING HUMAN INTERACTION AND OBJECT SEGMENTATION A Degree Thesis Submitted to the Faculty of the Escola Te\u0300cnica d'Enginyeria de Telecomunicacio\u0301 de Barcelona", "addresses": [{"name": "Universitat Polit\u00e8cnica de Catalunya", "source_name": "Universitat Polit\u00e8cnica de Catalunya", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1514/7ca5866dc5fbcfa0d91259798599004d051d.pdf"], "doi": []}, {"id": "6d880f543e583cf1ba4333be7f3845de4dcbda64", "title": "Recursive Visual Attention in Visual Dialog", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02664.pdf"], "doi": []}, {"id": "cba8b9949e71ff485a4ecba33128e2f206651cac", "title": "An RGBD segmentation model for robot vision learned from synthetic data", "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://pdfs.semanticscholar.org/cba8/b9949e71ff485a4ecba33128e2f206651cac.pdf"], "doi": []}, {"id": "b93cd1e6f1aee81f4f94452c0091d11ee0cb8af3", "title": "Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications", "addresses": [{"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.11078.pdf"], "doi": []}, {"id": "4c33746fc5688da61059daa93978ac887f04cce8", "title": "Trainable performance upper bounds for image and video captioning", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e97f/10c2a4d7edac33597692e6dc243bd86adf10.pdf"], "doi": []}, {"id": "c682ff7a573082c5b69880c4bf84cdd464b70ae5", "title": "Dial2Desc: End-to-end Dialogue Description Generation", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00185.pdf"], "doi": []}, {"id": "3899b49ca98a134fb9d33feab458f2092da32096", "title": "Faster Bounding Box Annotation for Object Detection in Indoor Scenes", "addresses": [{"name": "Sandvik Mining and Construction Oyj, Tampere, Finland", "source_name": "Sandvik Mining and Construction Oyj, Tampere, Finland", "street_adddress": "Pihtisulunkatu 9, 33330 Tampere, Finland", "lat": "61.50907030", "lng": "23.57149070", "type": "company", "country": "Finland"}, {"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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611732"]}, {"id": "2dda7f46bbb8684a3a497dd40aabd4d759a62386", "title": "YouCookII Dataset", "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": "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"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2dda/7f46bbb8684a3a497dd40aabd4d759a62386.pdf"], "doi": []}, {"id": "93b689145277f7594e4bc0af2ffec5d3a31cc1fa", "title": "Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594223"]}, {"id": "14198efb1ea9d1c621dcac44e9c5aad349c0d69f", "title": "Learning to Segment Human by Watching YouTube", "addresses": [{"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "SnapChat Inc., Venice, CA", "source_name": "SnapChat Inc., Venice, CA", "street_adddress": "2772 Donald Douglas Loop N, Santa Monica, CA 90405, USA", "lat": "34.01629660", "lng": "-118.45349590", "type": "company", "country": "United States"}, {"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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7534869"]}, {"id": "72976d066d38d3d378d75dcf1467b0a295acad6b", "title": "iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.10437.pdf"], "doi": []}, {"id": "7fda1edac608bc67e55ac3d7c9dc5a542d8f8aee", "title": "Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01847.pdf"], "doi": []}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "addresses": [{"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"], "doi": []}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "94d177db3f198a3571576e562b4d3d9e816eb3cf", "title": "Dynamic Object Scanning: Object-Based Elastic Timeline for Quickly Browsing First-Person Videos", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3186501"]}, {"id": "4a9831e5fec549edee454709048a51997ef60fb7", "title": "Did the Model Understand the Question?", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05492.pdf"], "doi": []}, {"id": "6f71862aa00d61fc8fd7f205de35ee8af458ec0c", "title": "Semi-supervised Learning of Instance-level Recognition from Video", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6f71/862aa00d61fc8fd7f205de35ee8af458ec0c.pdf"], "doi": []}, {"id": "c41e483fee61e5040eeb49859a481352f8e3f8ac", "title": "TOWARDS BETTER UNDERSTANDING OF DEEP LEARNING WITH VISUALIZATION by HAIPENG ZENG", "addresses": [{"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c41e/483fee61e5040eeb49859a481352f8e3f8ac.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "9a6268d2bc1221ea154097feadea0c58f234d02f", "title": "Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering", "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": "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": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.06794.pdf"], "doi": []}, {"id": "44674b020e9ce46b16ffb72952a7cacb40d01657", "title": "Depth-aware neural style transfer", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}, {"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3092924"]}, {"id": "bce963c494ccce1c66757e69993f578c37564f6d", "title": "Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect?", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08097.pdf"], "doi": []}, {"id": "8dcc95debd07ebab1721c53fa50d846fef265022", "title": "MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images", "addresses": [{"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": "2017", "pdf": ["https://arxiv.org/pdf/1711.07011.pdf"], "doi": []}, {"id": "3ff40f0760bd8d3c46d72147b0f5b0d4aee2a24f", "title": "AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06475.pdf"], "doi": []}, {"id": "e7d6fc6daf70a30993b57efff9a259bd418c5c91", "title": "Infrared and Visible Image Fusion with ResNet and zero-phase component analysis", "addresses": [{"name": "University of Strathclyde", "source_name": "Centre for excellence in Signal and Image Processing, University of Strathclyde, Glasgow, UK", "street_adddress": "16 Richmond St, Glasgow G1 1XQ, UK", "lat": "55.86212200", "lng": "-4.24228510", "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": "2018", "pdf": ["https://arxiv.org/pdf/1806.07119.pdf"], "doi": []}, {"id": "74875368649f52f74bfc4355689b85a724c3db47", "title": "Object detection by labeling superpixels", "addresses": [{"name": "National Laboratory of Pattern Recognition, Chinese Academy of Sciences", "source_name": "National Laboratory of Pattern Recognition, Institute of Automation of Chinese, Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_072.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_072_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299146", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299146", "http://doi.org/10.1109/CVPR.2015.7299146"]}, {"id": "01cb4071a0a43aeef63e5d568ad5afe1fb8b2411", "title": "Domain Separation Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/01cb/4071a0a43aeef63e5d568ad5afe1fb8b2411.pdf"], "doi": []}, {"id": "54b5aab87dbe38803935789c4d730bd203d198a1", "title": "3D Human Pose Estimation in RGBD Images for Robotic Task Learning", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462833"]}, {"id": "09a4f1b7afd8d5f6854b23f0aa9e80b9a0fa6d20", "title": "Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04158.pdf"], "doi": []}, {"id": "f9a14264ca328cfbd817c7458eee5b18592e5d54", "title": "Feature Fusion for Weakly Supervised Object Localization", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623227"]}, {"id": "ab0715642330502d5efca948e4753651cb004d84", "title": "Soft-NMS \u2014 Improving Object Detection with One Line of Code", "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/1704.04503.pdf"], "doi": []}, {"id": "86c158ef6caaf247d5d14e07c5edded0147df8b7", "title": "Spatial Memory for Context Reasoning in Object 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": "2017", "pdf": ["https://arxiv.org/pdf/1704.04224.pdf"], "doi": []}, {"id": "adc55a30b17060d68b5092dfaba52243e39c68f5", "title": "Meaningful maps with object-oriented semantic mapping", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8206392"]}, {"id": "3d5575e9ba02128d94c20330f4525fc816411ec2", "title": "Learning Video Object Segmentation from Static Images", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02646.pdf"], "doi": []}, {"id": "089513ca240c6d672c79a46fa94a92cde28bd567", "title": "RNN Fisher Vectors for Action Recognition and Image Annotation", "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"}, {"name": "IBM Research, Haifa, Israel", "source_name": "IBM Research - Haifa, Israel", "street_adddress": "\u05e7\u05de\u05e4\u05d5\u05e1 \u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, Israel", "lat": "32.76526220", "lng": "35.01576130", "type": "company", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.03958.pdf"], "doi": []}, {"id": "8f1fcd6c3007f48eafeddf5f517c1197b2aab9cc", "title": "DPRed: Making Typical Activation and Weight Values Matter In Deep Learning Computing.", "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/1804.06732.pdf"], "doi": []}, {"id": "c0d5fa2e57646f2cc7dbb9633261af7d20f8a51e", "title": "Joint Global and Co-Attentive Representation Learning for Image-Sentence Retrieval", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240535"]}, {"id": "7ec16949adf6ea78054f6c6512f332a86960b91f", "title": "Computer Vision \u2013 ECCV 2016", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "RWTH Aachen, Aachen, Germany", "source_name": "RWTH Aachen, Aachen, Germany", "street_adddress": "Templergraben 55, 52062 Aachen, Germany", "lat": "50.78007780", "lng": "6.06568690", "type": "edu", "country": "Germany"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46475-6"]}, {"id": "277bfd1bc89044b4a523ef23f48bd053d5560657", "title": "Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08832.pdf"], "doi": []}, {"id": "3e6d2e963f9a1b417871327f648d16f2c66a4068", "title": "Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation", "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://pdfs.semanticscholar.org/3e6d/2e963f9a1b417871327f648d16f2c66a4068.pdf"], "doi": []}, {"id": "cda6d9b0cc1509ec61a43e24e9b7a14b18642aca", "title": "Convolutional Neural Networks combined with Runge-Kutta Methods", "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"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08831.pdf"], "doi": []}, {"id": "9a8662189388dd84ce1ec6e90d103959a4132a95", "title": "Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification", "addresses": [{"name": "Saarbr\u00fccken, Saarland, Germany", "source_name": "Saarbr\u00fccken, Saarland, Germany", "street_adddress": "Saarbr\u00fccken, Germany", "lat": "49.24015720", "lng": "6.99693270", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8036272"]}, {"id": "33bcc97b605f00145098d095be2841a1fa6b9a95", "title": "Order-Embeddings of Images and Language", "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.06361.pdf"], "doi": []}, {"id": "126e5a90e12aee34d33e6d301ab9533acf03c199", "title": "Multi-style Generative Network for Real-Time Transfer", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06953.pdf"], "doi": []}, {"id": "9c1f5547d98f5390e2389ce40668da83a9830487", "title": "Non-parametric Structured Output Networks", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9c1f/5547d98f5390e2389ce40668da83a9830487.pdf"], "doi": []}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "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": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "414315d44a489d09c6e1933033ffba6396974ee1", "title": "Video Visual Relation Detection", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123380"]}, {"id": "d182c6d9ac4777b5ad73afdd64b7b68d76037212", "title": "Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00260.pdf"], "doi": []}, {"id": "7f33a5fcc5db4625c66972f0e6f06540b64d4f1e", "title": "Image Surveillance Assistant Architecture : Status and Planned Extensions", "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"}, {"name": "Naval Research Laboratory", "source_name": "Naval Research Laboratory", "street_adddress": "Naval Research Laboratory Post Office, 4555, Overlook Avenue Southwest, Washington, D.C., 20375, USA", "lat": "38.82313810", "lng": "-77.01789020", "type": "mil", "country": "United States"}, {"name": "Fayetteville State University", "source_name": "Fayetteville State University", "street_adddress": "1200 Murchison Rd, Fayetteville, NC 28301, USA", "lat": "35.07422060", "lng": "-78.89248960", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f33/a5fcc5db4625c66972f0e6f06540b64d4f1e.pdf"], "doi": []}, {"id": "c0e4b6a993a35ded0d17a5e751bd135b795244ae", "title": "Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www3.cs.stonybrook.edu/~cvl/content/papers/2016/LSS_ECCV16.pdf", "http://www3.cs.stonybrook.edu/~minhhoai/papers/LSS_ECCV16.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-46466-4_49"]}, {"id": "237c0c0749aaab0f73ec0641bef2453714da3099", "title": "An Efficient Hierarchical Convolutional Neural Network for Traffic Object Detection", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500640"]}, {"id": "87697847062e7eefec99a8c3aec888e3eef5e5b9", "title": "Unsupervised Learning of Spoken Language with Visual Context", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8769/7847062e7eefec99a8c3aec888e3eef5e5b9.pdf"], "doi": []}, {"id": "15908912ce3943fc5ec281c1cbf062722cb114d7", "title": "Dynamic Graph Modules for Modeling Higher-Order Interactions in Activity Recognition", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "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": "2018", "pdf": ["https://arxiv.org/pdf/1812.05637.pdf"], "doi": []}, {"id": "60542b1a857024c79db8b5b03db6e79f74ec8f9f", "title": "Learning to Detect Human-Object Interactions", "addresses": [{"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": "2018", "pdf": ["https://arxiv.org/pdf/1702.05448.pdf"], "doi": []}, {"id": "41d9719922c81d14f2a39392285c5789f5ea4282", "title": "Head and Body Orientation Estimation Using Convolutional Random Projection Forests", "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": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8219761"]}, {"id": "6459cf454b87fded65a223a30341e5304519a6aa", "title": "Integrated Object Detection and Tracking with Tracklet-Conditioned Detection", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11167.pdf"], "doi": []}, {"id": "7f836c047bc86d52e3a28098b53311cb2186acaa", "title": "Deep Compositional Question Answering with Neural Module Networks", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7f83/6c047bc86d52e3a28098b53311cb2186acaa.pdf"], "doi": []}, {"id": "5f5068645a5cebf923093542302c1fa21e387cee", "title": "ChipGAN: A Generative Adversarial Network for Chinese Ink Wash Painting Style Transfer", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240655"]}, {"id": "84ed65bda3de8a17526a0ad06ae3777fbbbeef20", "title": "Adapting Object Detectors from Images to Weakly Labeled Videos", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/84ed/65bda3de8a17526a0ad06ae3777fbbbeef20.pdf"], "doi": []}, {"id": "f85be6a31b74d6da6f490635d314306d77d0b6c7", "title": "Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog", "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/1802.03881.pdf"], "doi": []}, {"id": "bf8e413869e96afa15ef3ff884cc7739eafa8308", "title": "Deep conditional neural network for image segmentation", "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": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552924", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552924", "http://doi.org/10.1109/ICME.2016.7552924"]}, {"id": "7dcaf1ef07a593a987f3b529c2ad1e977c0c7196", "title": "Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01452.pdf"], "doi": []}, {"id": "1bfc74bad04b407d1792a70d73a3f5dc0be0506d", "title": "Cross-Dataset Adaptation for Visual Question Answering", "addresses": [{"name": "U. of Southern California", "source_name": "U. of Southern California", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03726.pdf"], "doi": []}, {"id": "516d57bbd02a6938a99b45691a3d7864c2fdc70a", "title": "DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification", "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": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.11478.pdf"], "doi": []}, {"id": "d0a934ef5b4edf7ebdc2276048534e4c9acf5a76", "title": "Person Retrieval in Surveillance Video using Height, Color and Gender", "addresses": [{"name": "L. D. College of Engineering, India", "source_name": "L. D. College of Engineering, India", "street_adddress": "120, Circular Road, University Area, Ahmedabad, Gujarat 380015, India", "lat": "23.03380000", "lng": "72.54658400", "type": "edu", "country": "India"}, {"name": "Ahmedabad University", "source_name": "Ahmedabad University", "street_adddress": "School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India", "lat": "23.03787430", "lng": "72.55180046", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639145"]}, {"id": "ce9287a47f00d06ef75fe3ace9adbd7691b6e844", "title": "Large-Scale Visual Relationship Understanding", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.10660.pdf"], "doi": []}, {"id": "c7132da9421bfa06fbc859d6c3d6e621bd7bf472", "title": "Multimodal Deep Embedding via Hierarchical Grounded Compositional Semantics", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7562283"]}, {"id": "c8b592fcf2ed2f75799b94c428d2ccdf1e82c5f7", "title": "RUC-Tencent at ImageCLEF 2015: Concept Detection, Localization and Sentence Generation", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c8b5/92fcf2ed2f75799b94c428d2ccdf1e82c5f7.pdf"], "doi": []}, {"id": "ea8c1ac5a1594d6441d10914e0ccc4bd3e9eadfa", "title": "Anchor Box Optimization for Object Detection", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00469.pdf"], "doi": []}, {"id": "d4a7259340ece685b9dacb390eea10c6684a05b3", "title": "Object Detection based on Region Decomposition and Assembly", "addresses": [{"name": "Incheon National University", "source_name": "Incheon National University, Incheon, South Korea", "street_adddress": "119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea", "lat": "37.37505480", "lng": "126.63289980", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08225.pdf"], "doi": []}, {"id": "c733e4a14b51623120da9b4571b4409bc99ab0cd", "title": "Mainstream: Dynamic Stem-Sharing for Multi-Tenant Video Processing", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2d64/9992d78efd47b22c9a4dcb52386a951b54ea.pdf"], "doi": []}, {"id": "4328ec9d98eff5d7eb70997f76d81b27849f3220", "title": "Scalable, High-Quality Object Detection", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "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": "2014", "pdf": ["https://arxiv.org/pdf/1412.1441.pdf"], "doi": []}, {"id": "e304e516fd4e1499b616f120795600eb688fa93e", "title": "People and Vehicles in Danger - A Fire and Flood Detection System in Social Media", "addresses": [{"name": "CERTH-ITI, Thessaloniki, Greece", "source_name": "CERTH-ITI, Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8448732", "http://doi.org/10.1109/IVMSPW.2018.8448732"]}, {"id": "438d4c181362386590eb703c3b65934a6acbbbdc", "title": "A Multi-Oriented Scene Text Detector with Position-Sensitive Segmentation", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206043"]}, {"id": "29b1a44d1e1ffa05c2bf7f4be931c5045f427718", "title": "ON GENERIC OBJECT RECOGNITION TECHNIQUES : CHALLENGES AND OPPORTUNITIES Prof", "addresses": [{"name": "Nirma University", "source_name": "Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India", "street_adddress": "Sarkhej-Gandhinagar Highway, Gota, Ahmedabad, Gujarat 382481, India", "lat": "23.12838620", "lng": "72.54485080", "type": "edu", "country": "India"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/29b1/a44d1e1ffa05c2bf7f4be931c5045f427718.pdf"], "doi": []}, {"id": "0005a23c0db792ac9d0f5d408c39240ffe4c1d57", "title": "Understanding Fake Faces", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08391.pdf"], "doi": []}, {"id": "f660ea723b62f69b9f4c439724a6b73357e1d3c3", "title": "Survey on the attention based RNN model and its applications in computer vision", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06823.pdf"], "doi": []}, {"id": "057d5f66a873ec80f8ae2603f937b671030035e6", "title": "Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04048.pdf"], "doi": []}, {"id": "05fa7085663bbbd1057c0d240158091930c59c6a", "title": "MovieQA: Understanding Stories in Movies through Question-Answering", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02902.pdf"], "doi": []}, {"id": "2fe87224a5b8db29f72936c1cae17389e1c553ad", "title": "ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06815.pdf"], "doi": []}, {"id": "bb9e418469d018be7f5ac2c4b2435ccac50088a3", "title": "Deep Learning\u2013Based Multimedia Analytics: A Review", "addresses": [{"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3279952"]}, {"id": "4634bf44a0c994e2bed89686225f8cef601a0224", "title": "NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain", "addresses": [{"name": "Lister Hill National Center for Biomedical Communications", "source_name": "Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA", "street_adddress": "8600 Rockville Pike, Bethesda, MD 20894, USA", "lat": "38.99595080", "lng": "-77.09883230", "type": "gov", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4634/bf44a0c994e2bed89686225f8cef601a0224.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "1687d0120e937d5efe2022cbeab19b38edba0608", "title": "A 2 A : Attention to Attention Reasoning for Movie Question Answering", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1687/d0120e937d5efe2022cbeab19b38edba0608.pdf"], "doi": []}, {"id": "dbf777403156adda2d551a973379edd3e2bc5aaa", "title": "Interpretable Explanations of Black Boxes by Meaningful Perturbation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03296.pdf"], "doi": []}, {"id": "4d925db7c9e3cca2e8fed644f750d218a48cd081", "title": "Automatic Concept Discovery from Parallel Text and Visual Corpora", "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": "2015", "pdf": ["https://arxiv.org/pdf/1509.07225.pdf"], "doi": []}, {"id": "d2b2cb1d5cc1aa30cf5be7bcb0494198934caabb", "title": "A Restricted Visual Turing Test for Deep Scene and Event Understanding", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01715.pdf"], "doi": []}, {"id": "07ca470ed3be3a476b6fc1917bbbf4182846d1db", "title": "Transforming sensor data to the image domain for deep learning \u2014 An application to footstep detection", "addresses": [{"name": "University of Fribourg", "source_name": "University of Fribourg", "street_adddress": "Avenue de l'Europe 20, 1700 Fribourg, Switzerland", "lat": "46.80635700", "lng": "7.15200600", "type": "edu", "country": "Switzerland"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01077.pdf"], "doi": []}, {"id": "9dde6ed569684356c46217fa53224272b668bae8", "title": "Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07613.pdf"], "doi": []}, {"id": "eff328e0ecfb9a7a2d6664ee38aa32a61c7b9f42", "title": "Visual Question Reasoning on General Dependency Tree", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00105.pdf"], "doi": []}, {"id": "6115445ca062b8f865f0b447c059813088b9dd49", "title": "A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07810.pdf"], "doi": []}, {"id": "c8e1c1a82b76d7bfd69c04ab6ab057bb946e262f", "title": "Towards Deep Cellular Phenotyping in Placental Histology", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03270.pdf"], "doi": []}, {"id": "1be7ecc7100bb5fdbcff7f5f6191a9b57165fa2c", "title": "Deep Learning for Classification of Colorectal Polyps on Whole-slide Images", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01550.pdf"], "doi": []}, {"id": "290941887c37547462285152ff82796ad71dd757", "title": "Snuba: Automating Weak Supervision to Label Training Data", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df8d/c49f33ac02e2f87aac8343869b2affaf4808.pdf"], "doi": []}, {"id": "71de9b3b8f482863d544da0f26ac2876b4fc210a", "title": "Who Are Raising Their Hands ? Hand-Raiser Seeking Based on Object Detection and Pose Estimation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/71de/9b3b8f482863d544da0f26ac2876b4fc210a.pdf"], "doi": []}, {"id": "cb3e91a4c800c60c3f734dd77a64ced7d81e570e", "title": "Grounded Objects and Interactions for Video Captioning", "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/1711.06354.pdf"], "doi": []}, {"id": "4e83df2bf849eb6af24bf919ddc7bb25c7249c39", "title": "Fusion that matters: convolutional fusion networks for visual recognition", "addresses": [{"name": "Leiden University", "source_name": "Leiden University, Leiden, The Netherlands", "street_adddress": "Rapenburg 70, 2311 EZ Leiden, Netherlands", "lat": "52.15714850", "lng": "4.48520900", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5691-4"]}, {"id": "0e36ada8cb9c91f07c9dcaf196d036564e117536", "title": "Much Ado About Time: Exhaustive Annotation of Temporal Data", "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": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07429.pdf"], "doi": []}, {"id": "d68a6bf394f8f6440426a84d8494e83d08aa1535", "title": "Automatic Portrait Segmentation for Image Stylization", "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": "2016", "pdf": ["http://xiaoyongshen.me/webpage_portrait/papers/portrait_eg16.pdf"], "doi": ["https://doi.org/10.1111/cgf.12814"]}, {"id": "db640eddc51258cf6b11e442745d9a4bd5d6995b", "title": "Simple Baselines for Human Pose Estimation and Tracking", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06208.pdf"], "doi": []}, {"id": "e1f041594fa37d407c80b28a13680a9ddc081c49", "title": "Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11232.pdf"], "doi": []}, {"id": "bb1dc1e9e9c20d99b55f37b9e635457af86a065f", "title": "Neural Ctrl-F: Segmentation-Free Query-by-String Word Spotting in Handwritten Manuscript Collections", "addresses": [{"name": "Uppsala University", "source_name": "Uppsala University, Uppsala, Sweden", "street_adddress": "Uppsala, 752 36 Uppsala, Sweden", "lat": "59.85090050", "lng": "17.63000930", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07645.pdf"], "doi": []}, {"id": "7902309d3c5ab2e1e3a1f08503dc39108e1639dc", "title": "Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01984.pdf"], "doi": []}, {"id": "211fe99400bde5116efea3b42719d00a34931dcd", "title": "Multimodal Differential Network for Visual Question Generation", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03986.pdf"], "doi": []}, {"id": "50ab5859994c76dd69f2ef6c770888408d9ae5d0", "title": "Intention Oriented Image Captions with Guiding Objects", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.07662.pdf"], "doi": []}, {"id": "fbe3ba628fa8435bf1ad4ed153c93109624b8dff", "title": "Understanding the Message of Images with Knowledge Base Traversals", "addresses": [{"name": "University of Mannheim", "source_name": "University of Mannheim, Mannheim, Germany", "street_adddress": "68131 Mannheim, Germany", "lat": "49.48371060", "lng": "8.46223330", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2970414"]}, {"id": "428017f7a6df4d667275c7ac9b3feba39b70e4ae", "title": "CNN-RNN: A Unified Framework for Multi-label Image Classification", "addresses": [{"name": "Horizon Robotics", "source_name": "Horizon Robotics", "street_adddress": "317 3F 1 Zhongguancun Street Haidian District Beijing, 100190 China", "lat": "39.97558000", "lng": "116.31126000", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04573.pdf"], "doi": []}, {"id": "857fb344977e5181bf5a99593ceba09a158d412c", "title": "VCI 2 R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task", "addresses": [{"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/857f/b344977e5181bf5a99593ceba09a158d412c.pdf"], "doi": []}, {"id": "a799babbbd56a047feee85d09e57e2c240c5f50c", "title": "Image describing based on bidirectional LSTM and improved sequence sampling", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078733"]}, {"id": "d4ea0438b6c0479a7d7611130a0dc242a22f93eb", "title": "Pose2Instance: Harnessing Keypoints for Person Instance Segmentation", "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"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01152.pdf"], "doi": []}, {"id": "66652367a369d18e1845dd14220dc94a9748c9fd", "title": "Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification", "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": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"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": "2017", "pdf": ["https://arxiv.org/pdf/1702.05891.pdf"], "doi": []}, {"id": "6f44303f9664a4ceabd0f4bc74cb3886aad5012f", "title": "An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"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": ["https://arxiv.org/pdf/1809.06079.pdf"], "doi": []}, {"id": "d2796a0d1ba7ed9287a9db6f4714585b8508871f", "title": "Human Centred Object Co-Segmentation", "addresses": [{"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": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.03774.pdf"], "doi": []}, {"id": "68d96226fb71daad7d1a4ccbda267062244d9bc0", "title": "Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books", "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"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06724.pdf"], "doi": []}, {"id": "f9e3bef2ffec5bd1e62003a3f1d8f735265b4d2f", "title": "ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks", "addresses": [{"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"}, {"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/1810.07248.pdf"], "doi": []}, {"id": "5a546cd0e8622b32cfdfd0358041f7d7ab00b5d4", "title": "SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08596.pdf"], "doi": []}, {"id": "e0ffda149d1d81fff507953377e08cf4f718d8ae", "title": "Image Captioning with both Object and Scene Information", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984069"]}, {"id": "ee53c9480132fc0d09b1192226cb2c460462fd6d", "title": "Channel Pruning for Accelerating Very Deep Neural Networks", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06168.pdf"], "doi": []}, {"id": "2453dd38cde21f3248b55d281405f11d58168fa9", "title": "Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Multi-Scale_Patch_Aggregation_CVPR_2016_paper.pdf", "http://www.cse.cuhk.edu.hk/~leojia/papers/mpa_cvpr16.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_Multi-Scale_Patch_Aggregation_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780711", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.342", "http://doi.org/10.1109/CVPR.2016.342"]}, {"id": "0abd1a332717f540f1e3297a9eedd9633ad9c3a9", "title": "From UI Design Image to GUI Skeleton: A Neural Machine Translator to Bootstrap Mobile GUI Implementation", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3180240"]}, {"id": "51a03fe7cbcf5c650b5dbdba0bf14be8a45cbaee", "title": "Deep Triplet Quantization", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Tsinghua University & Beijing National Research Center for Information Science and Technology", "source_name": "Tsinghua University & Beijing National Research Center for Information Science and Technology, Beijing, China", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240516"]}, {"id": "85a65932f30b05532e259a99bd6a179af20ab267", "title": "HashNet: Deep Learning to Hash by Continuation", "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": "University of Illinois at Chicago", "source_name": "University of Illinois at Chicago", "street_adddress": "University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA", "lat": "41.86898915", "lng": "-87.64856256", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00758.pdf"], "doi": []}, {"id": "1ed5c62eec52380c285daf2ffa7576d96e4ac150", "title": "Modeling Image Virality with Pairwise Spatial Transformer Networks", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07914.pdf"], "doi": []}, {"id": "6f1c84d5a137ad14e5de9a8728fced8044d05b79", "title": "SketchyScene: Richly-Annotated Scene Sketches", "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"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02473.pdf"], "doi": []}, {"id": "e8cda2c754670850ec722799640c6cb42dfb8199", "title": "4D Generic Video Object Proposals", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09260.pdf"], "doi": []}, {"id": "5abc8b9ac261f320cae1ce6676a3f05038b93436", "title": "Mixed Supervised Object Detection with Robust Objectness Transfer", "addresses": [{"name": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "source_name": "National Laboratory of Pattern Recognition (NLPR) of Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304628"]}, {"id": "645f09f4bc2e6a13663564ee9032ca16e35fc52d", "title": "Interactive Demonstration of Probabilistic Predicates", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3193542"]}, {"id": "397085122a5cade71ef6c19f657c609f0a4f7473", "title": "Using Segmentation to Predict the Absence of Occluded Parts", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db11/4901d09a07ab66bffa6986bc81303e133ae1.pdf"], "doi": []}, {"id": "60ac4be07ab4b20e1b9d0879e9553f05ec581867", "title": "LabelBank: Revisiting Global Perspectives for Semantic Segmentation", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09891.pdf"], "doi": []}, {"id": "0c2cb193274217855000c98a02488885571b55bc", "title": "TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01466.pdf"], "doi": []}, {"id": "a98b63516c7d45eadf8cf4045ea114918eb3b636", "title": "Selective Refinement Network for High Performance 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": "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/1809.02693.pdf"], "doi": []}, {"id": "6a9c3011b5092daa1d0cacda23f20ca4ae74b902", "title": "Fast and Accurate Person Re-Identification with RMNet.", "addresses": [{"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02465.pdf"], "doi": []}, {"id": "3361905a9ff903142e50d5b608f4775f1c5bac1a", "title": "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.11489.pdf"], "doi": []}, {"id": "02a5b7a41ffa8518eb3b7cae9914a2bd2bbc886b", "title": "Fast Online Object Tracking and Segmentation: A Unifying Approach", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05050.pdf"], "doi": []}, {"id": "7e163ae363b62b708566f348da87750284860822", "title": "Weakly-Supervised Spatial Context 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"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02998.pdf"], "doi": []}, {"id": "e4d4346bd415c6fa9187c16a9b7f5c69f48f1ec4", "title": "Towards High Performance Video Object Detection for Mobiles", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.05830.pdf"], "doi": []}, {"id": "0ec03a13063e5811ec9461cf7af04f4f3110ccaa", "title": "Visual Question Answering with Question Representation Update (QRU)", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/2695/46925f0fd457b31c13c2870343b0aed761dc.pdf"], "doi": []}, {"id": "0f1c436aa7b1194e8660f7352315497c38ade853", "title": "GANtruth - an unpaired image-to-image translation method for driving scenarios", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01710.pdf"], "doi": []}, {"id": "be22647956f1bc8cf6f936ae3c85f5637492b6b8", "title": "Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Sharmanska_Ambiguity_Helps_Classification_2016_CVPR_supplemental.pdf", "http://sro.sussex.ac.uk/60510/1/Sharmanska_Ambiguity_Helps_Classification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780610", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.241", "http://doi.org/10.1109/CVPR.2016.241"]}, {"id": "fa5ab04ebf64de3bd57bd0729ce9ca3440258acc", "title": "Unprecedented Usage of Pre-trained CNNs on Beauty Product", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3266433"]}, {"id": "9c2e5e2ba7c5b3a555c6c72f518e3631aab23c19", "title": "RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06612.pdf"], "doi": []}, {"id": "1daaeae28270b06962eb6fcf812a368892b5dff4", "title": "Modeling Visual Context Is Key to Augmenting Object Detection Datasets", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07428.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "41aa209e9d294d370357434f310d49b2b0baebeb", "title": "Beyond caption to narrative: Video captioning with multiple sentences", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05440.pdf"], "doi": []}, {"id": "21c99706bb26e9012bfb4d8d48009a3d45af59b2", "title": "Neural Module Networks", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02799.pdf"], "doi": []}, {"id": "97ccbe3440e5a574b37753ff49165c7ee97a6eb4", "title": "Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects.", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12152.pdf"], "doi": []}, {"id": "2a4bf8d096ea9b6a84ebb6cecf98589a76806777", "title": "Evaluation of Segmentation Quality via Adaptive Composition of Reference Segmentations", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami16_segmentation_evaluation.pdf", "http://faculty.ucmerced.edu/mhyang/papers/pami17_segmentation_evaluation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7723880", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2622703", "http://doi.org/10.1109/TPAMI.2016.2622703", "https://www.ncbi.nlm.nih.gov/pubmed/27810800"]}, {"id": "7c4fdcda302b93c0a275420ddd6e249c565173ff", "title": "VISIR: Visual and Semantic Image Label Refinement", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159693"]}, {"id": "a34de6e26cf34257d6c2fdc9a1801aea46c00b08", "title": "Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport", "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": [], "doi": ["http://dl.acm.org/citation.cfm?id=3220012"]}, {"id": "b181ae8ed315ceb8f03332ba02ef0849adbe5b4c", "title": "Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language Queries", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00303.pdf"], "doi": []}, {"id": "a213405441c68a0ce415a4a842bdd6ac62c1667b", "title": "Enhancement of SSD by concatenating feature maps for object detection.", "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": "2017", "pdf": ["https://arxiv.org/pdf/1705.09587.pdf"], "doi": []}, {"id": "0e08cf0b19f0600dadce0f6694420d643ea9828b", "title": "The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals", "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": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Humayun_The_Middle_Child_ICCV_2015_paper.pdf", "http://web.engr.oregonstate.edu/~lif/Middle_Child_ICCV15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Humayun_The_Middle_Child_ICCV_2015_paper.pdf", "https://smartech.gatech.edu/bitstream/handle/1853/55478/The%20Middle%20Child%20Problem-%20Revisiting%20Parametric%20Min-cut%20and%20Seeds%20for%20Object%20Proposals.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410544", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.187", "http://doi.org/10.1109/ICCV.2015.187"]}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "5d165ff5b0b389e32809c17838a2afc218a91d62", "title": "Object Detectors Emerge in Deep Scene CNNs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6856.pdf"], "doi": []}, {"id": "dc9b95afcbd972d973f3ae29f05bbc8fa45d6a16", "title": "Learning deep structured network for weakly supervised change detection", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "ShanghaiTech University", "source_name": "ShanghaiTech University", "street_adddress": "Yueyang Rd, Xuhui Qu, Shanghai Shi, China", "lat": "31.20254500", "lng": "121.45308600", "type": "edu", "country": "China"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}, {"name": "Murdoch University", "source_name": "Murdoch University, Murdoch, WA, Australia", "street_adddress": "90 South St, Murdoch WA 6150, Australia", "lat": "-32.06651350", "lng": "115.83583130", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.02009.pdf"], "doi": []}, {"id": "9d62a78b006b09fe8f20eb7cb72e2b542cb5fbad", "title": "ImagineNet : Style Transfer from Fine Art to Graphical User Interfaces", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9d62/a78b006b09fe8f20eb7cb72e2b542cb5fbad.pdf"], "doi": []}, {"id": "0ac43cbd4c25994ea2687743c5b666d498831687", "title": "Robust Adversarial Perturbation on Deep Proposal-based Models", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05962.pdf"], "doi": []}, {"id": "95f74ce5a69fdcd2abda908724d2ab4977e72100", "title": "Using Syntax to Ground Referring Expressions in Natural Images", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10547.pdf"], "doi": []}, {"id": "01100c14d0a06376dbb0fae6fe7995f7b3aed8b6", "title": "Active learning for structured probabilistic models with histogram approximation", "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": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_030.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_030_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_030_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Sun_Active_Learning_for_2015_CVPR_paper.pdf", "https://filebox.ece.vt.edu/~dbatra/papers/slb_cvpr15.pdf", "https://www.cc.gatech.edu/~dbatra/papers/slb_cvpr15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298984", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298984", "http://doi.org/10.1109/CVPR.2015.7298984"]}, {"id": "a1b5b0697e46eecc9657954311828cc9b4113a26", "title": "Semantic Segmentation With Object Clique Potentials", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/fd6c/8c23edc6ce6bc97d44b6c739dcfe81b9dcc4.pdf"], "doi": []}, {"id": "ccd02b5cb6acee7db170c0fb7f4cf0dd64a8499f", "title": "Generation with Recursive Neural Networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ccd0/2b5cb6acee7db170c0fb7f4cf0dd64a8499f.pdf"], "doi": []}, {"id": "1cc85b17137c4d6d75e4c418976e7dceb3d7559e", "title": "Open Logo Detection Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01964.pdf"], "doi": []}, {"id": "cd7b872365cc5b5114e0ccb833e307e874a5c3aa", "title": "Video Object Segmentation with Language Referring Expressions", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08006.pdf"], "doi": []}, {"id": "1c0d70587340adc412c6e2afd71012d563c1e724", "title": "Could we create a training set for image captioning using automatic translation?", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi, Hacettepe \u00dcniversitesi, Ankara, T\u00fcrkiye", "source_name": "Bilgisayar Mühendisliği, Hacettepe Üniversitesi, Ankara, Türkiye", "street_adddress": "\u00dcniversiteler Mh., Hacettepe Beytepe Kamp\u00fcs\u00fc No:21, 06800 \u00c7ankaya/Ankara, Turkey", "lat": "39.87143010", "lng": "32.73636570", "type": "edu", "country": "Turkey"}, {"name": "Bilgisayar M\u00fchendisli\u011fi, Orta Doggu Teknik \u00dcniversitesi, Ankara, T\u00fcrkiye", "source_name": "Bilgisayar Mühendisliği, Orta Doggu Teknik Üniversitesi, Ankara, Türkiye", "street_adddress": "\u00dcniversiteler Mh., 06800 \u00c7ankaya/Ankara, Turkey", "lat": "39.89183900", "lng": "32.78334710", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["http://users.metu.edu.tr/snermin/papers/siu2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960638", "http://doi.org/10.1109/SIU.2017.7960638"]}, {"id": "e0821e6bb9efb795b4593229e4eacd6d86cef7d9", "title": "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04310.pdf"], "doi": []}, {"id": "081307db6d8d709af26f49d24041086bb09abfd1", "title": "A general description generator for human activity images based on deep understanding framework", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Guangxi University", "source_name": "Electronics and Information, Guangxi University", "street_adddress": "Chongwen Rd, Xixiangtang Qu, Nanning Shi, Guangxi Zhuangzuzizhiqu, China, 530001", "lat": "22.83760000", "lng": "108.28983900", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-015-2171-x"]}, {"id": "3b08ef7aa0cf9528da42b2b594b66e4a6f7fdb7f", "title": "Active Learning for Delineation of Curvilinear Structures", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.00747.pdf"], "doi": []}, {"id": "0e5d673111e398f6c083623e31c2f498f0bf7b5f", "title": "Resolving References to Objects in Photographs using the Words-As-Classifiers Model", "addresses": [{"name": "Bielefeld University", "source_name": "Bielefeld University", "street_adddress": "Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstra\u00dfe, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland", "lat": "52.02804210", "lng": "8.51148270", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.02125.pdf"], "doi": []}, {"id": "0910a4c470a410fac446f4026f7c8ef512ae7427", "title": "Hierarchical Question-Image Co-Attention for Visual Question Answering", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.00061.pdf"], "doi": []}, {"id": "431140620ecf6cbb7c4118a65f7f2b8f48089647", "title": "Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.08075.pdf"], "doi": []}, {"id": "8481d4160bf5a9c760b5c4de60c82f102492317b", "title": "Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02985.pdf"], "doi": []}, {"id": "8b5b8db6a2a2880c14894140ea70ceb5f96c3b9b", "title": "Learning a Text-Video Embedding from Incomplete and Heterogeneous Data", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02516.pdf"], "doi": []}, {"id": "0c2875bb47db3698dbbb3304aca47066978897a4", "title": "Recurrent Models for Situation Recognition", "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": "2017", "pdf": ["https://arxiv.org/pdf/1703.06233.pdf"], "doi": []}, {"id": "1eeca84f33079c6d7a95daf8994370b2d7a93443", "title": "Fingertip Detection and Tracking for Recognition of Air-Writing in Videos", "addresses": [{"name": "Indian Institute of Technology Bhubaneswar", "source_name": "Indian Institute of Technology Bhubaneswar, Bhubaneswar, India", "street_adddress": "Argul - Jatni Rd, Kansapada, Odisha 752050, India", "lat": "20.14389950", "lng": "85.67620330", "type": "edu", "country": "India"}, {"name": "Indian Institute of Technology Roorkee", "source_name": "Indian Institute of Technology, Roorkee", "street_adddress": "Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India", "lat": "29.86624610", "lng": "77.89587081", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03016.pdf"], "doi": []}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "84036eb97d011ed2d7c9e4eb14fa346b5347c0ad", "title": "Revisiting Pre-training: An Efficient Training Method for Image Classification", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09347.pdf"], "doi": []}, {"id": "2b0134725e7400f2211207fbe9bfb402b9fcacf3", "title": "Deep Attribute-preserving Metric Learning for Natural Language Object Retrieval", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123439"]}, {"id": "e959a426d02dd014c1346131ac38ed50114c17b7", "title": "A Focused Dynamic Attention Model for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01485.pdf"], "doi": []}, {"id": "5f94e354faeba1d330088b926d1f7886067bc93f", "title": "RefineNet : MultiPath Refinement Networks with Identity Mappings for High-Resolution Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5f94/e354faeba1d330088b926d1f7886067bc93f.pdf"], "doi": []}, {"id": "d42142285c46207a16bd4294e437d504e419a9b7", "title": "Varying image description tasks : spoken versus written descriptions", "addresses": [{"name": "Tilburg University", "source_name": "Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands", "street_adddress": "Warandelaan 2, 5037 AB Tilburg, Netherlands", "lat": "51.56314060", "lng": "5.04197360", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d421/42285c46207a16bd4294e437d504e419a9b7.pdf"], "doi": []}, {"id": "ccd99008d942b890cecd308a31ba61240eac9e54", "title": "Learning to Segment Every Thing", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.10370.pdf"], "doi": []}, {"id": "91c184e7fb0c7cce5319b8db85c1488b3861976f", "title": "Visual Question Answer Diversity", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b357/d44a34cc0f692b09a789802f5a905e12a726.pdf"], "doi": []}, {"id": "31c197a0e30f1aeb1414634968d1649e74cd8d0f", "title": "Deep correlation for matching images and text", "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"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_012.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_012_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_012_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Yan_Deep_Correlation_for_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298966", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298966", "http://doi.org/10.1109/CVPR.2015.7298966"]}, {"id": "5b8b27d1339d788eb3e0e96888c3633a7b92dc1e", "title": "Hierarchical Image Segmentation Ensemble for Objectness in RGB-D Images", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8116651"]}, {"id": "da437db062e751d49528914971ecdc868b557648", "title": "Improved Image Captioning via Policy Gradient optimization of SPIDEr", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00370.pdf"], "doi": []}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "b1db174463b0bbc54a61fcc83acfb89ad3e3d18f", "title": "Loss Functions for Multiset Prediction", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05246.pdf"], "doi": []}, {"id": "2ebadff3e2a573c947d49aba987e7917a9285ce5", "title": "Investigating the feature collection for semantic segmentation via single skip connection", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.08192.pdf"], "doi": []}, {"id": "f6ce7e947f1cfe75abda61f018c3ca7e38fceb20", "title": "NLE@MediaEval'17: Combining Cross-Media Similarity and Embeddings for Retrieving Diverse Social Images", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c352/159a5a280e2f7df34d9e8e1444c789e5b912.pdf"], "doi": []}, {"id": "bb6548b43c737dca642298c46ec4648a403e1b11", "title": "A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569822", "http://doi.org/10.1109/ITSC.2018.8569822"]}, {"id": "256623ff025f36d343588bcd0b966c1fd26afcf8", "title": "Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10860.pdf"], "doi": []}, {"id": "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "title": "Zero-Shot Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07113.pdf"], "doi": []}, {"id": "a3be1951ddb2fa2682385c7f22c2904f5c22a66d", "title": "Traffic-Sign Detection and Classification in the Wild", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Lehigh University", "source_name": "Lehigh University", "street_adddress": "Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA", "lat": "40.60680280", "lng": "-75.37824880", "type": "edu", "country": "United States"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://cg.cs.tsinghua.edu.cn/traffic-sign/0682.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Traffic-Sign_Detection_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780601", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.232", "http://doi.org/10.1109/CVPR.2016.232"]}, {"id": "012876a5f45da258675add1614ad7608a210141a", "title": "What are the Visual Features Underlying Human Versus Machine Vision?", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02704.pdf"], "doi": []}, {"id": "c5f6ed9efc222fe2773135ffb4e5c567d98e64ea", "title": "Image Captioning with Word Level Attention", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451558", "http://doi.org/10.1109/ICIP.2018.8451558"]}, {"id": "bb4650130c460f413e97b0328624a485bf094967", "title": "Dynamic Lexicon Generation for Natural Scene Images", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bb46/50130c460f413e97b0328624a485bf094967.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "43cb50f669a0d492256d11c6cc4128ba0ce79a3e", "title": "Per-Pixel Feedback for improving Semantic Segmentation", "addresses": [{"name": "Indian Institute of Technology Roorkee", "source_name": "Indian Institute of Technology, Roorkee", "street_adddress": "Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India", "lat": "29.86624610", "lng": "77.89587081", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.02861.pdf"], "doi": []}, {"id": "e7928bd33d09fd00a588617736b102063ca9d070", "title": "A Non-Technical Survey on Deep Convolutional Neural Network Architectures", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02129.pdf"], "doi": []}, {"id": "ab6c09ee2e466ceef2492f16472aeb76cd34009a", "title": "Data Augmentation for Cnn-Based People Detection in Aerial Images", "addresses": [{"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "Feng Chia University", "source_name": "Feng Chia University", "street_adddress": "\u9022\u7532\u5927\u5b78, 100, \u6587\u83ef\u8def, \u897f\u5e73\u91cc, \u897f\u5c6f\u5340, \u81fa\u4e2d\u5e02, 40724, \u81fa\u7063", "lat": "24.18005755", "lng": "120.64836072", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551501", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2018.8551501", "http://doi.org/10.1109/ICMEW.2018.8551501"]}, {"id": "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "title": "High performance and fast object detection in road environments", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310148", "http://doi.org/10.1109/IPTA.2017.8310148"]}, {"id": "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "title": "Semantic Image Segmentation via Deep Parsing Network", "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": "2015", "pdf": ["https://arxiv.org/pdf/1509.02634.pdf"], "doi": []}, {"id": "3fde03e7479f2fbff16f7849a2d038dbd29b1762", "title": "SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.01771.pdf"], "doi": []}, {"id": "2fa45a5b0421578a9a0d5124678dafc689e2bf82", "title": "Fake Sentence Detection as a Training Task for Sentence Encoding", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03840.pdf"], "doi": []}, {"id": "059582bee125512b127296364e7700ebd9f80436", "title": "Action-driven 3D indoor scene evolution", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "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"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2980223"]}, {"id": "c580b0a8dc655a8831ddbb7954bb929b1f236ebc", "title": "Looking deeper and transferring attention for image captioning", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China", "source_name": "Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6228-6"]}, {"id": "537afabc561a2efa79a903f4859ca63e6592f340", "title": "Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06452.pdf"], "doi": []}, {"id": "ccd3dcbccae7d903608530bddf6381db8e723a7d", "title": "Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "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"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccd3/dcbccae7d903608530bddf6381db8e723a7d.pdf"], "doi": []}, {"id": "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "title": "Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird\u2019s \u2013Eye View", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Korea", "source_name": "Electronics and Telecommunications Research Institute, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539407", "http://doi.org/10.1109/ICTC.2018.8539407"]}, {"id": "52d9ad99874f6b76184ad9abe45e824a6568617b", "title": "Large-Scale Active Learning with Approximations of Expected Model Output Changes", "addresses": [{"name": "Friedrich Schiller University Jena", "source_name": "Computer Vision Group, Friedrich Schiller University Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/52d9/ad99874f6b76184ad9abe45e824a6568617b.pdf"], "doi": []}, {"id": "1eb4ea011a3122dc7ef3447e10c1dad5b69b0642", "title": "Contextual Visual Recognition from Images and Videos", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1eb4/ea011a3122dc7ef3447e10c1dad5b69b0642.pdf"], "doi": []}, {"id": "c5cfeac36fd9fc35de7752cd2c63939920eb1eb3", "title": "Dictionary-Guided Editing Networks for Paraphrase Generation", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08077.pdf"], "doi": []}, {"id": "72ff1a1dd7c24b51d40d2be7f337b9075bbb8d58", "title": "Where and Who? Automatic Semantic-Aware Person Composition", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01021.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "University of Nottingham Ningbo China", "source_name": "University of Nottingham Ningbo China", "street_adddress": "199 Taikang E Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.80344900", "lng": "121.56160900", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "3244699e06b145ffa65d0fbddb2ce6e5da889418", "title": "Do You See What I Mean? Visual Resolution of Linguistic Ambiguities", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1603.08079.pdf"], "doi": []}, {"id": "9e64582b644481a734b018304a22b536886ed024", "title": "ALFA: Agglomerative Late Fusion Algorithm for Object Detection", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Kazan Federal University", "source_name": "Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Russia", "street_adddress": "Kremlyovskaya St, 18, Kazan, Respublika Tatarstan, Russia, 420008", "lat": "55.79044700", "lng": "49.12143490", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545182", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545182", "http://doi.org/10.1109/ICPR.2018.8545182"]}, {"id": "c85340a0d428ff0b47f1a4d92fc92157cb7664f0", "title": "Multi-Label Music Genre Classification from Audio, Text and Images Using Deep Features", "addresses": [{"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04916.pdf"], "doi": []}, {"id": "511fad07b943f088e487ea09ffc6c89114bb3c3e", "title": "Towards an Integrated Method of Detection and Description for Face Authentication System", "addresses": [{"name": "University of Ulsan", "source_name": "University of Ulsan, Korea", "street_adddress": "93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea", "lat": "35.54374110", "lng": "129.25628430", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8430774", "http://doi.org/10.1109/HSI.2018.8430774"]}, {"id": "6bd1f2782d6c8c3066d4e7d7e3afb995d79fa3dd", "title": "Deep Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Imagery", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6bd1/f2782d6c8c3066d4e7d7e3afb995d79fa3dd.pdf"], "doi": []}, {"id": "d09a3ec68311af4ebd3cbf7ed906aadffa94a464", "title": "Pedestrian Detection by Feature Selected Self-Similarity Features", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Sichuan Open University", "source_name": "Engineering and Technology College, Sichuan Open University, Chengdu, China", "street_adddress": "\u4e00 Baiye Rd, Pixian, Chengdu Shi, Sichuan Sheng, China", "lat": "30.72886200", "lng": "103.96638100", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286891", "http://doi.org/10.1109/ACCESS.2018.2803160"]}, {"id": "e096003fc0dad2a09334044ebcc01601fdc0afd6", "title": "Subitizing with Variational Autoencoders", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00257.pdf"], "doi": []}, {"id": "43c5be1f64e0135fb3d6e43a9c33caaaa58f7213", "title": "The Emotional Impact of Audio-Visual Stimuli", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/43c5/be1f64e0135fb3d6e43a9c33caaaa58f7213.pdf"], "doi": []}, {"id": "80fc9efde5bb28550d17363d882fd5bc6d805c26", "title": "Question Type Guided Attention in Visual Question Answering", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02088.pdf"], "doi": []}, {"id": "4a9d906935c9de019c61aedc10b77ee10e3aec63", "title": "Cross Modal Distillation for Supervision Transfer", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.00448.pdf"], "doi": []}, {"id": "350af77e01e78e8e3534f42b80b5dd35a602e73c", "title": "Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning", "addresses": [{"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"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03476.pdf"], "doi": []}, {"id": "db0a4af734dab1854c2e8dfe499fe0e353226e45", "title": "Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object 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": "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": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/db0a/4af734dab1854c2e8dfe499fe0e353226e45.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "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/1611.05431.pdf"], "doi": []}, {"id": "6759fd391e3f8a1aea7673d617d3e1b04d069804", "title": "Pose Flow: Efficient Online Pose Tracking", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00977.pdf"], "doi": []}, {"id": "fa93e027e795e98405dc72f123aadebafc5d80d8", "title": "Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00287.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "4443d51f54a9df679efc5ae65115f60f8e58a1a0", "title": "Spott: On-the-Spot e-Commerce for Television Using Deep Learning-Based Video Analysis Techniques", "addresses": [{"name": "Ghent University - imec - MICT", "source_name": "Ghent University - imec - MICT, Korte Meer, Ghent", "street_adddress": "Miriam Makebaplein 1, 9000 Gent, Belgium", "lat": "51.04893030", "lng": "3.72886530", "type": "edu", "country": "Belgium"}, {"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3092834"]}, {"id": "a8fd9be2f7775b123f62094eadd59d18bbbef027", "title": "Peephole: Predicting Network Performance Before Training", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "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": "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/1712.03351.pdf"], "doi": []}, {"id": "812e11fc86e5d183337257978e5a0f26b5668218", "title": "Evaluating ResNeXt Model Architecture for Image Classification", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08700.pdf"], "doi": []}, {"id": "a71b99357b0952858f98867ed0cbc87738899e1a", "title": "ScratchDet : Training Single-Shot Object Detectors from Scratch", "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": "2018", "pdf": ["https://pdfs.semanticscholar.org/a71b/99357b0952858f98867ed0cbc87738899e1a.pdf"], "doi": []}, {"id": "faa3b7034b89c9ab7ca5360a14311f2fd36ef7b9", "title": "AutoFocus: Efficient Multi-Scale Inference", "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": "2018", "pdf": ["https://arxiv.org/pdf/1812.01600.pdf"], "doi": []}, {"id": "044e0d86e2db70d4c0b767bf0994913e90e105e3", "title": "Answer-Type Prediction for Visual Question Answering", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kafle_Answer-Type_Prediction_for_CVPR_2016_paper.pdf", "http://www.chriskanan.com/wp-content/uploads/Kafle2016.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kafle_Answer-Type_Prediction_for_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780907", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.538", "http://doi.org/10.1109/CVPR.2016.538", "http://scholarworks.rit.edu/cgi/viewcontent.cgi?article=1919&context=other"]}, {"id": "d5873c4f169227ab002366db3b55d1fede9f473f", "title": "Multi-modal deep feature learning for RGB-D object detection", "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"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://mcg.nju.edu.cn/publication/2017/xiangyang-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.07.026"]}, {"id": "a89e1fc2681a9a399cc5008ea34b5ec3fe7ca845", "title": "Improving Fast Segmentation With Teacher-Student Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08476.pdf"], "doi": []}, {"id": "55af092ce75ade8a26d2afe97d57de2191d44b5f", "title": "Unsupervised Ensemble Regression", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02965.pdf"], "doi": []}, {"id": "5f94969b9491db552ffebc5911a45def99026afe", "title": "Multimodal Learning and Reasoning for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5f94/969b9491db552ffebc5911a45def99026afe.pdf"], "doi": []}, {"id": "91a972eadf78f44bdc03cc5ebe27899091bc94e1", "title": "AutoMarkov DNNs for object classification", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900168", "http://doi.org/10.1109/ICPR.2016.7900168"]}, {"id": "55d1342900e0abc59495afd44cde0a0052367b42", "title": "Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection", "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/1808.01452.pdf"], "doi": []}, {"id": "267bd60e442d87c44eaae3290610138e63d663ab", "title": "PoseTrack: Joint Multi-person Pose Estimation and Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07727.pdf"], "doi": []}, {"id": "6583d293734d56c9dd2a34ffa5887c6c323aacf5", "title": "Integrating Local Material Recognition with Large-Scale Perceptual Attribute Discovery", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01345.pdf"], "doi": []}, {"id": "bfce448a3409d87ba281de53ed696b09119f2ba9", "title": "Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01281.pdf"], "doi": []}, {"id": "66c6aebf10410a11623e32e23295213dfd7c557f", "title": "Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}, {"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593993"]}, {"id": "267c8798a5c602dae05908b63f031dbdb81fc42b", "title": "Amodal Instance Segmentation", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.08202.pdf"], "doi": []}, {"id": "c1d1b1197667facd360196059796ab8cb7b46e96", "title": "PolyMapper: Extracting City Maps using Polygons", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01497.pdf"], "doi": []}, {"id": "a0a49f50d9b76ad4ba7ce5acd14a3d4b31a520d6", "title": "HiDDeN: Hiding Data With Deep Networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09937.pdf"], "doi": []}, {"id": "333f083671da1010cbb080c6ce607ed87c19d73d", "title": "Multiple Instance Learning Convolutional Neural Networks for object recognition", "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 Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.03155.pdf"], "doi": []}, {"id": "a2c97ced4981a4505a6aa7f26e1c499df98f525d", "title": "Shape and Pose Estimation for Closely Interacting Persons Using Multi-view Images", "addresses": [{"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}, {"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": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://www.yangangwang.com/papers/LI-SPE-2018-08.pdf"], "doi": ["http://doi.org/10.1111/cgf.13574"]}, {"id": "21819624b83b40586afce41c3c9ae7abf6c9a2ab", "title": "A vision-grounded dataset for predicting typical locations for verbs", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2181/9624b83b40586afce41c3c9ae7abf6c9a2ab.pdf"], "doi": []}, {"id": "744089e18ef246785cdec2875d2b3872ef1d71b6", "title": "Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.06370.pdf"], "doi": []}, {"id": "ff772950f66ac6a57f4201ce1f02f0013ccdc1bb", "title": "Receptive Field Block Net for Accurate and Fast Object Detection", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07767.pdf"], "doi": []}, {"id": "658c802890c7133e2ade778b5d88b68bcd0dca9c", "title": "Learning to Segment via Cut-and-Paste", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06414.pdf"], "doi": []}, {"id": "606cfdcc43203351dbb944a3bb3719695e557e37", "title": "Ex Paucis Plura : Learning Affordance Segmentation from Very Few Examples", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/606c/fdcc43203351dbb944a3bb3719695e557e37.pdf"], "doi": []}, {"id": "1bd9db88bdab930f0dd380942b65c1449383166b", "title": "Robot Classification of Human Interruptibility and a Study of Its Effects", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3277902"]}, {"id": "83e5e6fc0f086017b3e099ec063df94f47427d2c", "title": "Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech", "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/1805.12589.pdf"], "doi": []}, {"id": "39836fbbcd2a664edb31119e88870c38b83df352", "title": "Adaptively Attending to Visual Attributes and Linguistic Knowledge for Captioning", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123391"]}, {"id": "c72e6992f44ce75a40f44be4365dc4f264735cfb", "title": "Story Understanding in Video 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/1807.11122.pdf"], "doi": []}, {"id": "25dba68e4db0ce361032126b91f734f9252cae7c", "title": "DeepSetNet: Predicting Sets with Deep Neural Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08998.pdf"], "doi": []}, {"id": "3a0f23dcb731762f9cc968d63385183b301eef89", "title": "Towards Segmenting Everything That Moves", "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": "2019", "pdf": ["https://arxiv.org/pdf/1902.03715.pdf"], "doi": []}, {"id": "8bce31108f598986558e9afb1061eb988ea4f3be", "title": "Automated Image Annotation based on YOLOv3", "addresses": [{"name": "Vilnius Gediminas Technical University", "source_name": "Vilnius Gediminas Technical University, Naugarduko g. 41-413, Vilnius LT-03227, Lithuania", "street_adddress": "Naugarduko g. 41, Vilnius 03227, Lithuania", "lat": "54.67377770", "lng": "25.26622250", "type": "edu", "country": "Lithuania"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8592167"]}, {"id": "fdbe50ca6741ddad66fb289960624627c6869cfc", "title": "Weakly Semi-Supervised Deep Learning for Multi-Label Image Annotation", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"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": "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"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7317747"]}, {"id": "1855818c492d5f42dbe14814e4dd9b5733d54790", "title": "Densely Connected Discriminative Correlation Filters for Visual Tracking", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Auckland University of Technology", "source_name": "Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand", "street_adddress": "31 Symonds St, Auckland, 1010, New Zealand", "lat": "-36.85444260", "lng": "174.76761040", "type": "edu", "country": "New Zealand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359334"]}, {"id": "f857cdf601379064bde3d4738f40aed30e266dbf", "title": "Training Very Deep CNNs for General Non-Blind Deconvolution", "addresses": [{"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"}, {"name": "Union Visual Innovation Technology Co., Ltd., Shenzhen, China", "source_name": "Union Visual Innovation Technology Co., Ltd., Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8315039"]}, {"id": "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "title": "Comparison of Visual Datasets for Machine Learning", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://rvc.eng.miami.edu/Paper/2017/IRI17_Gauen.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102956", "http://doi.ieeecomputersociety.org/10.1109/IRI.2017.59", "http://doi.org/10.1109/IRI.2017.59", "http://ecommons.luc.edu/cgi/viewcontent.cgi?article=1148&context=cs_facpubs"]}, {"id": "8c4c723a74fe479c2b8af7d911817377dd6d85c9", "title": "Understanding Neural Networks Through Deep Visualization", "addresses": [{"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": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06579.pdf"], "doi": []}, {"id": "e0c3c1b9744a695cfeab11ceb23069c38844932c", "title": "Non-parametric human segmentation using support vector machine", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430551"]}, {"id": "fe0edc34d9bdf51c1544a3f70e83917e5d917681", "title": "An End-to-End Quadrilateral Regression Network for Comic Panel Extraction", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240555"]}, {"id": "e431de776590f52a5ae2be2d71900136c91b7136", "title": "Towards a Robust Interactive and Learning Social Robot", "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": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e431/de776590f52a5ae2be2d71900136c91b7136.pdf"], "doi": []}, {"id": "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "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": [], "doi": ["http://doi.org/10.1007/978-3-030-01228-1"]}, {"id": "62a6220c8cb5b74e958870e52affd9e7542216fc", "title": "Street object detection / tracking for AI city traffic analysis", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397669"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "164f3b9740d9ceb14658237fddede0f86b5e0c47", "title": "Deep Category-Aware Semantic Edge 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": "", "pdf": ["https://pdfs.semanticscholar.org/1b61/41d3fbe8b97fd414ec931a47aa1d019347d9.pdf"], "doi": []}, {"id": "30f464c09779c6210397204901d025c0def1fe10", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "64a5709d41f4c2ef0383cee9932e89bb58085588", "title": "Surgeon Technical Skill Assessment using Computer Vision based Analysis", "addresses": [{"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://pdfs.semanticscholar.org/64a5/709d41f4c2ef0383cee9932e89bb58085588.pdf"], "doi": []}, {"id": "0c65245bff0004961a5173709400479addbb9ee1", "title": "SemanticFusion: Dense 3D semantic mapping with convolutional neural networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989538"]}, {"id": "24e680c5e7f59b72984ebc344dfba0f9573fb38c", "title": "On the difficulty of a distributional semantics of spoken language", "addresses": [{"name": "Tilburg University", "source_name": "Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands", "street_adddress": "Warandelaan 2, 5037 AB Tilburg, Netherlands", "lat": "51.56314060", "lng": "5.04197360", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08869.pdf"], "doi": []}, {"id": "2e84deb2fbc518c0ed0ba4158fc063060e5ac1b3", "title": "Real-time Progressive 3D Semantic Segmentation for Indoor Scene", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}, {"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00257.pdf"], "doi": []}, {"id": "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "title": "Recognition in Terra Incognita", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04975.pdf"], "doi": []}, {"id": "84a3478cf884b0cbba480c7c36dab565e778094b", "title": "Learning to detect chest radiographs containing lung nodules using visual attention networks", "addresses": [{"name": "King\u2019s College London", "source_name": "Institute of Psychiatry, King\u2019s College London, London, UK", "street_adddress": "16 De Crespigny Park, Camberwell, London SE5 8AF, UK", "lat": "51.47022750", "lng": "-0.09014280", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1712.00996.pdf"], "doi": []}, {"id": "fbace36d9161fbd062eefa0c005362bb210c7097", "title": "VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06288.pdf"], "doi": []}, {"id": "d012f6d7fd45051adaff8da4ce0860de9f81d445", "title": "A Deep Multi-task Learning Approach to Skin Lesion Classification", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1812.03527.pdf"], "doi": []}, {"id": "fc027fccb19512a439fc17181c34ee1c3aad51b5", "title": "Joint Multi-person Pose Estimation and Semantic Part Segmentation", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03383.pdf"], "doi": []}, {"id": "50d6dcec7f1fcbde647237d43950fa5ec59d6984", "title": "Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02110.pdf"], "doi": []}, {"id": "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "title": "2 D-Driven 3 D Object Detection in RGB-D Images", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/225c/318f3143b9b9d6c0f7a87672bd1d9d2901f4.pdf"], "doi": []}, {"id": "37e1fc37a3ee90f24d85ad6fd3e5c51d3f5ab4fd", "title": "Attentive Explanations: Justifying Decisions and Pointing to the Evidence", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.04757.pdf"], "doi": []}, {"id": "475e16577be1bfc0dd1f74f67bb651abd6d63524", "title": "DAiSEE: Towards User Engagement Recognition in the Wild", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01885.pdf"], "doi": []}, {"id": "503c16d9cb1560f13a7d6baedf8c9f889b22459d", "title": "Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02611.pdf"], "doi": []}, {"id": "18c57ddc9c0164ee792661f43a5578f7a00d0330", "title": "ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases", "addresses": [{"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02315.pdf"], "doi": []}, {"id": "f632790471b2bed7ba7c28b12cda9360ec586a63", "title": "Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02531.pdf"], "doi": []}, {"id": "197c406b95340dfcdef542db532e0f7a967b9cda", "title": "Softer-NMS: Rethinking Bounding Box Regression for Accurate Object 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": "2018", "pdf": ["https://arxiv.org/pdf/1809.08545.pdf"], "doi": []}, {"id": "0f54eacd2d9ad031a0b55166399e2f1d0f70b4b5", "title": "Joint Learning of Set Cardinality and State Distribution", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.04093.pdf"], "doi": []}, {"id": "1e54025a6b399bfc210a52a8c3314e8f570c2204", "title": "DenseCap: Fully Convolutional Localization Networks for Dense Captioning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07571.pdf"], "doi": []}, {"id": "26203d84466488b168745334935f7ca82294e3e4", "title": "Visual Reasoning by Progressive Module Networks", "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"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02453.pdf"], "doi": []}, {"id": "8b059a9851c23067afe247b59e54f3167caa9b34", "title": "Modality-Specific Cross-Modal Similarity Measurement With Recurrent Attention Network", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8401908"]}, {"id": "3796fe0e5dd10b01fc9fb486d09e61b28eedf915", "title": "Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.01034.pdf"], "doi": []}, {"id": "11a8cc3fa18ab4f7158447cc1fc8800489e82f9c", "title": "AttResNet: Attention-based ResNet for Image Captioning", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3302464"]}, {"id": "2e78e804ddfe86f112719d4a237c882f930a9d3b", "title": "Development of Real-time ADAS Object Detector for Deployment on CPU", "addresses": [{"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05894.pdf"], "doi": []}, {"id": "396aacab076a3607429f58ce442d5d57b5aaa794", "title": "Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03240.pdf"], "doi": []}, {"id": "6fe1439e40429c7cd7029ecf83ca6f36fd0c8040", "title": "Deep Matching and Validation Network: An End-to-End Solution to Constrained Image Splicing Localization and Detection", "addresses": [{"name": "Information Sciences Institute, Marina Del Rey, CA", "source_name": "Information Sciences Institute, Marina Del Rey, CA, USA", "street_adddress": "4676 Admiralty Way #1001, Marina Del Rey, CA 90292, USA", "lat": "33.98007070", "lng": "-118.44003850", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123411"]}, {"id": "5a40efdd3a50ab2e3bce106f92d921713ef068b3", "title": "Learning Saliency Prediction From Sparse Fixation Pixel Map", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00644.pdf"], "doi": []}, {"id": "745a913b6a3dd28f3d1c583e80497d6d627a9ca4", "title": "OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07102.pdf"], "doi": []}, {"id": "a43280a668f12cffdb7b4c9917984aa55b12759b", "title": "Zoom Out-and-In Network with Recursive Training for Object Proposal", "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/1702.05711.pdf"], "doi": []}, {"id": "aa7914646c6a4bbad0727cb84ab9b05e5b381af4", "title": "Framework for Evaluating Vision-based Autonomous Steering Control Model", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569717"]}, {"id": "3ab93fe26a46f8bc0999e68af71a0907a63a5e65", "title": "ESTHER: Extremely Simple Image Translation Through Self-Regularization", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3ab9/3fe26a46f8bc0999e68af71a0907a63a5e65.pdf"], "doi": []}, {"id": "1d82e7736268917cc3d87a2ee0896b03e02a5ff6", "title": "The Promise of Premise: Harnessing Question Premises in Visual Question Answering", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00601.pdf"], "doi": []}, {"id": "58d16e23e1192be4acaf6a29c1f5995817146554", "title": "Bringing back simplicity and lightliness into neural image captioning", "addresses": [{"name": "University of Mons", "source_name": "Faculty of Engineering, University of Mons, Belgium", "street_adddress": "Place du Parc 20, 7000 Mons, Belgium", "lat": "50.45877140", "lng": "3.95216520", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06245.pdf"], "doi": []}, {"id": "7771807cd05f78a4591f2d0b094ddd3e0bd5339a", "title": "Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors", "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": "2017", "pdf": ["https://arxiv.org/pdf/1707.06399.pdf"], "doi": []}, {"id": "b2c60061ad32e28eb1e20aff42e062c9160786be", "title": "Diverse and Controllable Image Captioning with Part-of-Speech Guidance", "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/1805.12589.pdf"], "doi": []}, {"id": "20a91b0e7c2598d327169517cdeaafc433caa700", "title": "Inshore Ship Detection Based on Mask R-CNN", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8519123"]}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "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": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "cb4fc4d49783f2049c48a062169f04eb744443ec", "title": "Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}, {"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.08474.pdf"], "doi": []}, {"id": "38262d92b09564aba747beb7150b92c92998170c", "title": "A Visual Attention Grounding Neural Model for Multimodal Machine Translation", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08266.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/citations/datasets.csv b/site/datasets/citations/datasets.csv
index e566e943..7ddffff9 100644
--- a/site/datasets/citations/datasets.csv
+++ b/site/datasets/citations/datasets.csv
@@ -21,6 +21,13 @@ used,USED Social Event Dataset,,525000,7
 voc,VOC,,11530,999

 who_goes_there,WGT,,"(None,)",0

 yfcc_100m,YFCC100M,,99171688,274

+aflw,AFLW,,21997,318

+afw,AFW,,205,999

+coco,COCO,,328000,999

+coco_action,COCO-a,,10000,25

+coco_qa,COCO QA,,123287,206

+malf,MALF,,5250,17

+ufdd,UFDD,,6424,4

 3d_rma,3D-RMA,,"(None,)",100

 3dddb_unconstrained,3D Dynamic,,"(None,)",2

 3dpes,3DPeS,,1011,133

@@ -28,8 +35,6 @@ yfcc_100m,YFCC100M,,99171688,274
 afad,AFAD,,164432,78

 afew_va,AFEW-VA,,30000,18

 affectnet,AffectNet,,100000,37

-aflw,AFLW,,21997,318

-afw,AFW,,205,999

 agedb,AgeDB,,16488,18

 alert_airport,ALERT Airport,,39902,20

 am_fed,AM-FED,,"(None,)",83

@@ -60,9 +65,6 @@ chokepoint,ChokePoint,,64204,138
 clothing_co_parsing,CCP,,2098,60

 cmdp,CMDP,,583,9

 cmu_pie,CMU PIE,,41368,760

-coco,COCO,,328000,999

-coco_action,COCO-a,,10000,25

-coco_qa,COCO QA,,123287,206

 cofw,COFW,,1007,325

 cohn_kanade,CK,,486,999

 cohn_kanade_plus,CK+,,593,999

@@ -133,7 +135,6 @@ lfw,LFW,,13233,123
 m2vts,m2vts,,185,73

 m2vtsdb_extended,xm2vtsdb,,2360,864

 mafl,MAFL,,20000,407

-malf,MALF,,5250,17

 mapillary,Mapillary,,25000,61

 market_1501,Market 1501,,32668,460

 mars,MARS,,1191003,168

@@ -208,7 +209,6 @@ tvhi,TVHI,,"(None,)",98
 uccs,UCCS,,16149,6

 ucf_101,UCF101,,"(None,)",999

 ucf_selfie,UCF Selfie,,46836,11

-ufdd,UFDD,,6424,4

 ufi,UFI,,"(None,)",12

 umb,UMB,,1473,47

 umd_faces,UMD,,367888,42

diff --git a/site/datasets/citations/flickr_faces.json b/site/datasets/citations/flickr_faces.json
index 023149cd..4140e16a 100644
--- a/site/datasets/citations/flickr_faces.json
+++ b/site/datasets/citations/flickr_faces.json
@@ -1 +1 @@
-{"id": "ceb2ebef0b41e31c1a21b28c2734123900c005e2", "paper": {"key": "flickr_faces", "name": "FFHQ", "title": "A Style-Based Generator Architecture for Generative Adversarial Networks", "year": "2018", "addresses": []}, "citations": [{"id": "95aa0a6ec61319496b40735e89c9354ed07468aa", "title": "Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.02165.pdf"], "doi": []}, {"id": "db04cf426357724df54519f8b8af1ca8b56dc38e", "title": "Synthesizing Coupled 3 D Face Modalities by Trunk-Branch Generative Adversarial Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/db04/cf426357724df54519f8b8af1ca8b56dc38e.pdf"], "doi": []}, {"id": "24bae1dbad640d81306d106a380261eb7d6063fb", "title": "Unsupervised Object Segmentation by Redrawing", "addresses": [{"name": "Sorbonne Universit\u00e9", "source_name": "CNRS UMR7222, Sorbonne Universit\u00e9, Institut des Syst\u00e8mes Intelli-gents et de Robotique, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.13539.pdf"], "doi": []}, {"id": "2d395f7715692aefc8c5d3f264e2fb3bd405585f", "title": "Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04243.pdf"], "doi": []}, {"id": "a2bd2c4e24d374082a87198161798b26f19e0710", "title": "A PCA-like Autoencoder", "addresses": [{"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01277.pdf"], "doi": []}, {"id": "00960e0c95d398a1b10b6cfb0a17db073ef4a78a", "title": "Enriching Financial Datasets with Generative Adversarial Networks", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/0096/0e0c95d398a1b10b6cfb0a17db073ef4a78a.pdf"], "doi": []}, {"id": "22f46c09d942e222dbe6a9da954e8cc0501bc569", "title": "READ: Recursive Autoencoders for Document Layout Generation", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"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"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.00302.pdf"], "doi": []}, {"id": "0d46406058396f66fca4a248b897956159dfabcb", "title": "PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.12320.pdf"], "doi": []}, {"id": "bf095a26a34757616b29215617a99af8dc634e52", "title": "Learning Object Representations by Mixing Scenes Master Thesis", "addresses": [{"name": "University of Fribourg", "source_name": "University of Fribourg", "street_adddress": "Avenue de l'Europe 20, 1700 Fribourg, Switzerland", "lat": "46.80635700", "lng": "7.15200600", "type": "edu", "country": "Switzerland"}, {"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/bf09/5a26a34757616b29215617a99af8dc634e52.pdf"], "doi": []}, {"id": "c002ceaeee6fb74bebbdc2012a877ba78f1fd4de", "title": "Emergence of Object Segmentation in Perturbed Generative Models", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12663.pdf"], "doi": []}, {"id": "9602d1b8c046eb5da6b7c97a2b0bcb18b66968b2", "title": "Artist Style Transfer Via Quadratic Potential", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.11108.pdf"], "doi": []}, {"id": "e312226d64c86662eadf182e9e5f909b5f01ef60", "title": "LIA: Latently Invertible Autoencoder with Adversarial Learning", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08090.pdf"], "doi": []}, {"id": "aaaaa07ca70c86c0e84567f52128486d1f3df75f", "title": "MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis", "addresses": [{"name": "Pune, India", "source_name": "Pune, India", "street_adddress": "Pune, Maharashtra, India", "lat": "18.52043030", "lng": "73.85674370", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.06048.pdf"], "doi": []}, {"id": "e0a3737381fe393f6d761ddba16c795b31bcdad2", "title": "High Fidelity Face Manipulation with Extreme Pose and Expression", "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": "2019", "pdf": ["https://arxiv.org/pdf/1903.12003.pdf"], "doi": []}, {"id": "5b2b9b9ee2ad444a23b8d9f27e4f929d9094dc42", "title": "Style Generator Inversion for Image Enhancement and Animation", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11880.pdf"], "doi": []}, {"id": "5770d15f72758a8489aa3d70ea6e3c03aff806e6", "title": "Channel Decomposition on Generative Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.04694.pdf"], "doi": []}, {"id": "6acc86a3434b10fad8e9818d89c70b9826809d74", "title": "Learning Feature Extraction for Transfer from Simulation to Reality", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6acc/86a3434b10fad8e9818d89c70b9826809d74.pdf"], "doi": []}, {"id": "135dc574a3f879f853f47c48a1d6a66ca71c32b7", "title": "Disentangling Style and Content in Anime Illustrations", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.10742.pdf"], "doi": []}, {"id": "fef7b26828d4e76bb7ce103eea073b0fcf946f96", "title": "Beauty Learning and Counterfactual Inference", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/fef7/b26828d4e76bb7ce103eea073b0fcf946f96.pdf"], "doi": []}, {"id": "57f8c9813a76842939a71ad57cf5182885131f07", "title": "Smart, Deep Copy-Paste", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.06763.pdf"], "doi": []}, {"id": "c2ce9df9888a167612684b60bd7f3d7407bb2a73", "title": "Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12660.pdf"], "doi": []}, {"id": "82436a079ef268e841a70c1d2cd1fa1a135b2521", "title": "Task-Aware Deep Sampling for Feature Generation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.04854.pdf"], "doi": []}, {"id": "9f1766ed74777e4cb5bdc5a0bf0014165511e0ba", "title": "Curriculum Learning for Deep Generative Models with Clustering", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "2019", "pdf": ["https://arxiv.org/pdf/1906.11594.pdf"], "doi": []}, {"id": "b4458e7abc14269d45ffec33ef070e050caae05b", "title": "Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.09856.pdf"], "doi": []}, {"id": "f89b9883136e764570393c56af326c4dc87b45f1", "title": "Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06145.pdf"], "doi": []}, {"id": "8ccb88958358ea59bdc9b76f660b01c8f631b2c0", "title": "HoloGAN: Unsupervised learning of 3D representations from natural images", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01326.pdf"], "doi": []}, {"id": "a2e7834bb1ae12ca0d4c9396f411fd0e3cf2b723", "title": "Seeing What a GAN Cannot Generate", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/fd32/26bcdfa7c7f25e2e4b25674c33f93a08fbdc.pdf"], "doi": []}, {"id": "1e10a58cd3d3974d083ec5aa323e5d10c43fc061", "title": "Image Generation from Small Datasets via Batch Statistics Adaptation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01774.pdf"], "doi": []}, {"id": "1428ab147371751bc3966c938825ef23e7fa80ee", "title": "The Art of Food: Meal Image Synthesis from Ingredients", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.13149.pdf"], "doi": []}, {"id": "a0e8f4348968195c80494b7a4245edb91a252c93", "title": "Deep Generative and Discriminative Embeddings for Novelty Detection", "addresses": [{"name": "Johns Hopkins University Applied Physics Laboratory", "source_name": "The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA", "street_adddress": "11100 Johns Hopkins Rd, Laurel, MD 20723, USA", "lat": "39.16309960", "lng": "-76.89942800", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0e8/f4348968195c80494b7a4245edb91a252c93.pdf"], "doi": []}, {"id": "655979e9e79f5eaf30550cb20ba5f00c15447da7", "title": "FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.05729.pdf"], "doi": []}, {"id": "19804c87ebb4ff861516a2a18591fd56afa41499", "title": "From Mondrian to Modular Synth : Rendering NIME using Generative Adversarial Networks", "addresses": [{"name": "MIT Media Lab", "source_name": "MIT Media Laboratory, Cambridge, MA, USA", "street_adddress": "75 Amherst St, Cambridge, MA 02139, USA", "lat": "42.36035700", "lng": "-71.08726400", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1980/4c87ebb4ff861516a2a18591fd56afa41499.pdf"], "doi": []}, {"id": "30d265c4dec1276579942b42fb6c46a5ff490e7f", "title": "Meta-Sim: Learning to Generate Synthetic Datasets", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"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"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11621.pdf"], "doi": []}, {"id": "5f9739c0f49e1a60a93969471243ace818bf5aa7", "title": "Theses 5-2019 Structure Preserving regularizer for Neural Style Transfer", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/5f97/39c0f49e1a60a93969471243ace818bf5aa7.pdf"], "doi": []}, {"id": "68ee70c87cc036e0935e2ceef02263018acaf1a2", "title": "On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01219.pdf"], "doi": []}, {"id": "75187014e7efd823eecfa833217ebb3ea7187107", "title": "Bridging Dialogue Generation and Facial Expression Synthesis", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.11240.pdf"], "doi": []}, {"id": "8149b95065d424feaaa13248a4b3d046c4bcf5eb", "title": "Semantic photo manipulation with a generative image prior", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}, {"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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3323023"]}, {"id": "72e968a606ef656cd46dc2d875a8e70cc50508a9", "title": "There is no general AI: Why Turing machines cannot pass the Turing test", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.05833.pdf"], "doi": []}, {"id": "69685a820c1ab2351f9f3517717bb0e74be31e91", "title": "Compete-free G Discriminator D Real / Fake Real Images Mutual Information Maximization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6968/5a820c1ab2351f9f3517717bb0e74be31e91.pdf"], "doi": []}, {"id": "ecc7f561976b3725f788623d84436a2685dca204", "title": "Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed", "addresses": [{"name": "PSL Research University", "source_name": "MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France", "street_adddress": "60 Boulevard Saint-Michel, 75006 Paris, France", "lat": "48.84496370", "lng": "2.33961050", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.01174.pdf"], "doi": []}, {"id": "b9c78b104b9d31e01cd852192a369c6dd6f4cbab", "title": "FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment", "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": "2019", "pdf": ["https://arxiv.org/pdf/1905.11805.pdf"], "doi": []}, {"id": "9494a253f1b3c8627587fc94e659440d355f08c8", "title": "Improved Generalisation Bounds for Deep Learning Through $L^\\infty$ Covering Numbers.", "addresses": [{"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12430.pdf"], "doi": []}, {"id": "40c7b8b84cc23c85c37598d6eaa8b21633770480", "title": "Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11960.pdf"], "doi": []}, {"id": "e351cdef6f21b64088646cb54a107998ca79360d", "title": "Label-Noise Robust Multi-Domain Image-to-Image Translation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02185.pdf"], "doi": []}, {"id": "c4da1d5ec5bab365e2f36aa874bc71660e6114b4", "title": "Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07882.pdf"], "doi": []}, {"id": "a81f1abc25596361a0583617b4da784f4b559e9c", "title": "AnonymousNet : Natural Face De-Identification with Measurable Privacy", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/a81f/1abc25596361a0583617b4da784f4b559e9c.pdf"], "doi": []}, {"id": "246a91b1737bdcc777efb7d85e37c51476886785", "title": "Detecting AI-Synthesized Speech Using Bispectral Analysis", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/e3cd/431123b6cfb5fcef2143c5dee5809b1aec77.pdf"], "doi": []}, {"id": "7ec0ad0889172e8ca394bddae1f51dfe7d6f0cbc", "title": "Adversarial Learning for Improved Onsets and Frames Music Transcription", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08512.pdf"], "doi": []}, {"id": "854aaeb2ad96d369a8d955b91dd7320056a71efb", "title": "M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.00168.pdf"], "doi": []}, {"id": "3984845ee41dd4bbd3fe5c70521e4a1d2aa05f99", "title": "AnonymousNet: Natural Face De-Identification with Measurable Privacy", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.12620.pdf"], "doi": []}, {"id": "11cc653ad48d27aeb8bf6dbdfedc8e618997914a", "title": "Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion", "addresses": [{"name": "Universitat Polit\u00e8cnica de Catalunya", "source_name": "Universitat Polit\u00e8cnica de Catalunya", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00794.pdf"], "doi": []}, {"id": "965359b3008ab50dd04e171551220ec0e7f83aba", "title": "Generative Modeling by Estimating Gradients of the Data Distribution", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05600.pdf"], "doi": []}, {"id": "78bde1f48a57f31cdf64ae68012e1b23571d7c1c", "title": "Deep Music Analogy Via Latent Representation Disentanglement", "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": "2019", "pdf": ["https://arxiv.org/pdf/1906.03626.pdf"], "doi": []}, {"id": "fbdcd3ad1ac5bd1a13a49163e568d0d85b59b2c4", "title": "Beauty Learning and Counterfactual Inference", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/fbdc/d3ad1ac5bd1a13a49163e568d0d85b59b2c4.pdf"], "doi": []}, {"id": "79bc6e1fe465aec49d7f0252f295c0ad9cdaf389", "title": "Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning", "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": "2019", "pdf": ["https://arxiv.org/pdf/1909.01871.pdf"], "doi": []}, {"id": "2e4d61d0f4ab8a0c254302882aa354eaf08b558e", "title": "Compositional Deep Learning", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.08292.pdf"], "doi": []}, {"id": "03e504fd71cdc80ebcc16798e951ece979eb7e0e", "title": "Image Synthesis From Reconfigurable Layout and Style", "addresses": [{"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07500.pdf"], "doi": []}, {"id": "00163b1287321eab6543c087f866f79f6c743ddb", "title": "ChromaGAN: An Adversarial Approach for Picture Colorization", "addresses": [{"name": "University Pompeu Fabra", "source_name": "Computational Imaging Lab, University Pompeu Fabra, Barcelona, Spain", "street_adddress": "Pla\u00e7a de la Merc\u00e8, 10, 08002 Barcelona, Spain", "lat": "41.37896890", "lng": "2.17979410", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.09837.pdf"], "doi": []}, {"id": "995ce8f3d36ee6a2231e8026e85b5b1f98bd28c7", "title": "Exposing GAN-synthesized Faces Using Landmark Locations", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "University of the Chinese Academy of Sciences", "source_name": "The Institute of Optics and Electronics Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Chengdu, China", "street_adddress": "Chengdu, Sichuan, China", "lat": "30.57281500", "lng": "104.06680100", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3335724"]}, {"id": "5a2ab612052ca0d28e67cd8789d56f4260d93a00", "title": "FADN: Features Attention with Deep Networks for Remote-Image Classification", "addresses": [{"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"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"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8735452"]}, {"id": "426ce52b0c4ac73e6226c532d4d8a2171f12e9fb", "title": "Emotion Reinforced Visual Storytelling", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3325050"]}, {"id": "6b013d0027eb05b318bc08f716920b3d92582682", "title": "Attribute-Driven Spontaneous Motion in Unpaired Image Translation", "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": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}, {"name": "Harbin Institute of Technology, Shenzhen", "source_name": "Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China", "street_adddress": "China, Guangdong, Shenzhen, Nanshan, \u5e73\u5c71\u4e00\u8def", "lat": "22.58675200", "lng": "113.96878000", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.01452.pdf"], "doi": []}, {"id": "7fa4c76d55d5fd7007e4cbce46ad8c8cda111325", "title": "Latent Optimization for Non-adversarial Representation Disentanglement", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11796.pdf"], "doi": []}, {"id": "e40ac1763af1635393d7b556f750a7ad5c41abde", "title": "Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.09453.pdf"], "doi": []}, {"id": "1da3ffde612cbdfa861e9b530c3b795504682335", "title": "Detecting and Simulating Artifacts in GAN Fake Images", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.06515.pdf"], "doi": []}, {"id": "c13ce6211c96ddaea9560254860e628c70da2ca5", "title": "Audio query-based music source separation", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.06593.pdf"], "doi": []}, {"id": "edbe883de858f2f8aff760b24626ee1e7eaeadaf", "title": "Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.03728.pdf"], "doi": []}, {"id": "ccaf15d4ad006171061508ca0a99c73814671501", "title": "SinGAN: Learning a Generative Model from a Single Natural Image", "addresses": [{"name": "Technion", "source_name": "Technion", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.01164.pdf"], "doi": []}, {"id": "c2d6cf8933e6c034bf2a81b0a061115bcb1d9b9a", "title": "Adversarial Self-Defense for Cycle-Consistent GANs", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01517.pdf"], "doi": []}, {"id": "833b441526ebfc8e5308d963ca7aafd630a8debc", "title": "Freeze and Chaos for DNNs: an NTK view of Batch Normalization, Checkerboard and Boundary Effects", "addresses": [{"name": "Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "Signal Processing Laboratory (LTS5), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05715.pdf"], "doi": []}, {"id": "d8d89a0a1eca983512247af701a9e5596c903a16", "title": "Interpreting the Latent Space of GANs for Semantic Face Editing", "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": "2019", "pdf": ["https://arxiv.org/pdf/1907.10786.pdf"], "doi": []}, {"id": "5e088e188bd67f902ac28aef98dc433fc334ecb8", "title": "PolyGAN: High-Order Polynomial Generators", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.06571.pdf"], "doi": []}, {"id": "9fac2ad81a561398506ce566d897f7169583b4f8", "title": "On the \"steerability\" of generative adversarial networks", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.07171.pdf"], "doi": []}, {"id": "0ee8599185273fa78644ccccd32ae91643a80251", "title": "Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "Texas State University", "source_name": "Texas State University, San Marcos, TX, USA", "street_adddress": "601 University Dr, San Marcos, TX 78666, USA", "lat": "29.88841100", "lng": "-97.93835100", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00999.pdf"], "doi": []}, {"id": "b72dc85606e84b020629a25a653f34b612eb02bc", "title": "Class-conditioned Outline-to-Image Translation Interactive Sketch & Fill", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b72d/c85606e84b020629a25a653f34b612eb02bc.pdf"], "doi": []}, {"id": "0638f57d119cd610de8202b67398cfe47eb9fb6c", "title": "Biphasic Learning of GANs for High-Resolution Image-to-Image Translation", "addresses": [{"name": "Baidu, Inc.", "source_name": "Baidu International Technology (Shenzhen) Company, Ltd., Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06624.pdf"], "doi": []}, {"id": "dbdeac01daf69c3725032c42be04f42c17ea439d", "title": "HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01121.pdf"], "doi": []}, {"id": "b3fb0ac4a658a176dea67c825b9867cfe4024a3d", "title": "ProtoGANist: Protocol Reverse Engineering using Generative Adversarial Networks", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/b3fb/0ac4a658a176dea67c825b9867cfe4024a3d.pdf"], "doi": []}, {"id": "d7f5f03469cf133487c684c689710c0e1ed039ce", "title": "One-shot Face Reenactment", "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"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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": "2019", "pdf": ["https://arxiv.org/pdf/1908.03251.pdf"], "doi": []}, {"id": "22c46ac094c399f4a92c922a5537c93a5d03f61a", "title": "TunaGAN: Interpretable GAN for Smart Editing", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.06163.pdf"], "doi": []}, {"id": "3e248a4d381f04cba0536e53fc99dd2adcc87bc6", "title": "Copy-paste network Network input Residuals + Blending Result", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3e24/8a4d381f04cba0536e53fc99dd2adcc87bc6.pdf"], "doi": []}, {"id": "140b0b296017750309331f22e1c569aaa86f8ba5", "title": "Improved Generalisation Bounds for Deep Learning Through L\u221e Covering Numbers", "addresses": [{"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/140b/0b296017750309331f22e1c569aaa86f8ba5.pdf"], "doi": []}, {"id": "352120e91c09a4fba38aba38a554b4d36f2ec74f", "title": "O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.01931.pdf"], "doi": []}, {"id": "2c1ccf7b7d201fa53e555aa714b743144c059348", "title": "Learning to Generate Textures on 3D Meshes", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/2c1c/cf7b7d201fa53e555aa714b743144c059348.pdf"], "doi": []}, {"id": "60e69aca48ed8754c6cdd38a2a5be9575441c715", "title": "Dimensionality Reduction Flows", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01686.pdf"], "doi": []}, {"id": "d57622db429112152ee726bbee80ddd567c342bc", "title": "Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.05840.pdf"], "doi": []}, {"id": "d383dd8ced85d7898d8b1546c514a34fb626ea16", "title": "Improved Precision and Recall Metric for Assessing Generative Models", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06991.pdf"], "doi": []}, {"id": "83e06eeccfda20ef3025ab5fb311c0fadeca32d8", "title": "Beyond the feedforward sweep : feedback computations in the visual cortex", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/83e0/6eeccfda20ef3025ab5fb311c0fadeca32d8.pdf"], "doi": []}, {"id": "d6c40ae1110f665e1783440aa8fb560d72bec44f", "title": "CFSNet: Toward a Controllable Feature Space for Image Restoration", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.00634.pdf"], "doi": []}, {"id": "bfaf399acf487a57a0d19b78b9308292a3e13f1b", "title": "Design and Visualization of Guided GAN on MNIST dataset", "addresses": [{"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "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"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3338489"]}, {"id": "717d85bd48aca5d950a4da4bc63b647a57233075", "title": "HYPE: Human eYe Perceptual Evaluation of Generative Models", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01121.pdf"], "doi": []}, {"id": "acbeebdfd9dd3456628604eefcd53f50f974b132", "title": "Generative Adversarial Network in Medical Imaging: A Review", "addresses": [{"name": "University of Saskatchewan", "source_name": "University of Saskatchewan, Saskatoon, SK, Canada", "street_adddress": "Saskatoon, SK S7N, Canada", "lat": "52.13340030", "lng": "-106.63135820", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://arxiv-export-lb.library.cornell.edu/pdf/1809.07294", "https://arxiv.org/pdf/1809.07294.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/31521965", "https://doi.org/10.1016/j.media.2019.101552"]}, {"id": "3a7fa673ff8ec4ec2f322473de005f3cd09ea820", "title": "AutoML: A Survey of the State-of-the-Art", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00709.pdf"], "doi": []}, {"id": "d3810f2c401874651afce74fb0a54b309491cc29", "title": "AutoGAN: Neural Architecture Search for Generative Adversarial Networks", "addresses": [{"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.03835.pdf"], "doi": []}, {"id": "98967cbb7887088b0681e79e7e99d30c44c5de12", "title": "Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation", "addresses": [{"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.10489.pdf"], "doi": []}, {"id": "9656a10c9d4a35fd8d4ad994bc03fcd69231ff22", "title": "Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving", "addresses": [{"name": "Valeo Vision Systems, Ireland", "source_name": "Valeo Vision Systems, Ireland", "street_adddress": "IDA Business Park, Dunmore Rd, Galway, Ireland", "lat": "53.52190380", "lng": "-8.84273220", "type": "edu", "country": "Ireland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03442.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "ceb2ebef0b41e31c1a21b28c2734123900c005e2", "paper": {"key": "flickr_faces", "name": "FFHQ", "title": "A Style-Based Generator Architecture for Generative Adversarial Networks", "year": "2018", "addresses": []}, "citations": [{"id": "95aa0a6ec61319496b40735e89c9354ed07468aa", "title": "Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.02165.pdf"], "doi": []}, {"id": "db04cf426357724df54519f8b8af1ca8b56dc38e", "title": "Synthesizing Coupled 3 D Face Modalities by Trunk-Branch Generative Adversarial Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/db04/cf426357724df54519f8b8af1ca8b56dc38e.pdf"], "doi": []}, {"id": "24bae1dbad640d81306d106a380261eb7d6063fb", "title": "Unsupervised Object Segmentation by Redrawing", "addresses": [{"name": "Sorbonne Universit\u00e9", "source_name": "CNRS UMR7222, Sorbonne Universit\u00e9, Institut des Syst\u00e8mes Intelli-gents et de Robotique, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.13539.pdf"], "doi": []}, {"id": "2d395f7715692aefc8c5d3f264e2fb3bd405585f", "title": "Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04243.pdf"], "doi": []}, {"id": "a2bd2c4e24d374082a87198161798b26f19e0710", "title": "A PCA-like Autoencoder", "addresses": [{"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01277.pdf"], "doi": []}, {"id": "00960e0c95d398a1b10b6cfb0a17db073ef4a78a", "title": "Enriching Financial Datasets with Generative Adversarial Networks", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/0096/0e0c95d398a1b10b6cfb0a17db073ef4a78a.pdf"], "doi": []}, {"id": "22f46c09d942e222dbe6a9da954e8cc0501bc569", "title": "READ: Recursive Autoencoders for Document Layout Generation", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"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"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.00302.pdf"], "doi": []}, {"id": "b9e5c79339f5be61d127b46c8e25cf4dd5d0c5b5", "title": "Multiple-Identity Image Attacks Against Face-based Identity Verification", "addresses": [{"name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "source_name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "street_adddress": "300 Hagey Blvd, Waterloo, ON N2L 0A4, Canada", "lat": "43.47789480", "lng": "-80.54776420", "type": "company", "country": "Canada"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08507.pdf"], "doi": []}, {"id": "0d46406058396f66fca4a248b897956159dfabcb", "title": "PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.12320.pdf"], "doi": []}, {"id": "bf095a26a34757616b29215617a99af8dc634e52", "title": "Learning Object Representations by Mixing Scenes Master Thesis", "addresses": [{"name": "University of Fribourg", "source_name": "University of Fribourg", "street_adddress": "Avenue de l'Europe 20, 1700 Fribourg, Switzerland", "lat": "46.80635700", "lng": "7.15200600", "type": "edu", "country": "Switzerland"}, {"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/bf09/5a26a34757616b29215617a99af8dc634e52.pdf"], "doi": []}, {"id": "c002ceaeee6fb74bebbdc2012a877ba78f1fd4de", "title": "Emergence of Object Segmentation in Perturbed Generative Models", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12663.pdf"], "doi": []}, {"id": "9602d1b8c046eb5da6b7c97a2b0bcb18b66968b2", "title": "Artist Style Transfer Via Quadratic Potential", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.11108.pdf"], "doi": []}, {"id": "e312226d64c86662eadf182e9e5f909b5f01ef60", "title": "LIA: Latently Invertible Autoencoder with Adversarial Learning", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08090.pdf"], "doi": []}, {"id": "aaaaa07ca70c86c0e84567f52128486d1f3df75f", "title": "MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis", "addresses": [{"name": "Pune, India", "source_name": "Pune, India", "street_adddress": "Pune, Maharashtra, India", "lat": "18.52043030", "lng": "73.85674370", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.06048.pdf"], "doi": []}, {"id": "e0a3737381fe393f6d761ddba16c795b31bcdad2", "title": "High Fidelity Face Manipulation with Extreme Pose and Expression", "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"}, {"name": "Horizon Robotics", "source_name": "Horizon Robotics", "street_adddress": "317 3F 1 Zhongguancun Street Haidian District Beijing, 100190 China", "lat": "39.97558000", "lng": "116.31126000", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.12003.pdf"], "doi": []}, {"id": "5b2b9b9ee2ad444a23b8d9f27e4f929d9094dc42", "title": "Style Generator Inversion for Image Enhancement and Animation", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11880.pdf"], "doi": []}, {"id": "5770d15f72758a8489aa3d70ea6e3c03aff806e6", "title": "Channel Decomposition on Generative Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.04694.pdf"], "doi": []}, {"id": "6acc86a3434b10fad8e9818d89c70b9826809d74", "title": "Learning Feature Extraction for Transfer from Simulation to Reality", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6acc/86a3434b10fad8e9818d89c70b9826809d74.pdf"], "doi": []}, {"id": "135dc574a3f879f853f47c48a1d6a66ca71c32b7", "title": "Disentangling Style and Content in Anime Illustrations", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.10742.pdf"], "doi": []}, {"id": "fef7b26828d4e76bb7ce103eea073b0fcf946f96", "title": "Beauty Learning and Counterfactual Inference", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/fef7/b26828d4e76bb7ce103eea073b0fcf946f96.pdf"], "doi": []}, {"id": "57f8c9813a76842939a71ad57cf5182885131f07", "title": "Smart, Deep Copy-Paste", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.06763.pdf"], "doi": []}, {"id": "c2ce9df9888a167612684b60bd7f3d7407bb2a73", "title": "Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12660.pdf"], "doi": []}, {"id": "82436a079ef268e841a70c1d2cd1fa1a135b2521", "title": "Task-Aware Deep Sampling for Feature Generation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.04854.pdf"], "doi": []}, {"id": "9f1766ed74777e4cb5bdc5a0bf0014165511e0ba", "title": "Curriculum Learning for Deep Generative Models with Clustering", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "2019", "pdf": ["https://arxiv.org/pdf/1906.11594.pdf"], "doi": []}, {"id": "b4458e7abc14269d45ffec33ef070e050caae05b", "title": "Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.09856.pdf"], "doi": []}, {"id": "f89b9883136e764570393c56af326c4dc87b45f1", "title": "Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06145.pdf"], "doi": []}, {"id": "8ccb88958358ea59bdc9b76f660b01c8f631b2c0", "title": "HoloGAN: Unsupervised learning of 3D representations from natural images", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01326.pdf"], "doi": []}, {"id": "a2e7834bb1ae12ca0d4c9396f411fd0e3cf2b723", "title": "Seeing What a GAN Cannot Generate", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/fd32/26bcdfa7c7f25e2e4b25674c33f93a08fbdc.pdf"], "doi": []}, {"id": "1e10a58cd3d3974d083ec5aa323e5d10c43fc061", "title": "Image Generation from Small Datasets via Batch Statistics Adaptation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01774.pdf"], "doi": []}, {"id": "1428ab147371751bc3966c938825ef23e7fa80ee", "title": "The Art of Food: Meal Image Synthesis from Ingredients", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.13149.pdf"], "doi": []}, {"id": "a0e8f4348968195c80494b7a4245edb91a252c93", "title": "Deep Generative and Discriminative Embeddings for Novelty Detection", "addresses": [{"name": "Johns Hopkins University Applied Physics Laboratory", "source_name": "The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA", "street_adddress": "11100 Johns Hopkins Rd, Laurel, MD 20723, USA", "lat": "39.16309960", "lng": "-76.89942800", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0e8/f4348968195c80494b7a4245edb91a252c93.pdf"], "doi": []}, {"id": "655979e9e79f5eaf30550cb20ba5f00c15447da7", "title": "FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.05729.pdf"], "doi": []}, {"id": "19804c87ebb4ff861516a2a18591fd56afa41499", "title": "From Mondrian to Modular Synth : Rendering NIME using Generative Adversarial Networks", "addresses": [{"name": "MIT Media Lab", "source_name": "MIT Media Laboratory, Cambridge, MA, USA", "street_adddress": "75 Amherst St, Cambridge, MA 02139, USA", "lat": "42.36035700", "lng": "-71.08726400", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1980/4c87ebb4ff861516a2a18591fd56afa41499.pdf"], "doi": []}, {"id": "30d265c4dec1276579942b42fb6c46a5ff490e7f", "title": "Meta-Sim: Learning to Generate Synthetic Datasets", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"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"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11621.pdf"], "doi": []}, {"id": "5f9739c0f49e1a60a93969471243ace818bf5aa7", "title": "Theses 5-2019 Structure Preserving regularizer for Neural Style Transfer", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/5f97/39c0f49e1a60a93969471243ace818bf5aa7.pdf"], "doi": []}, {"id": "68ee70c87cc036e0935e2ceef02263018acaf1a2", "title": "On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01219.pdf"], "doi": []}, {"id": "75187014e7efd823eecfa833217ebb3ea7187107", "title": "Bridging Dialogue Generation and Facial Expression Synthesis", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.11240.pdf"], "doi": []}, {"id": "8149b95065d424feaaa13248a4b3d046c4bcf5eb", "title": "Semantic photo manipulation with a generative image prior", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}, {"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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3323023"]}, {"id": "72e968a606ef656cd46dc2d875a8e70cc50508a9", "title": "There is no general AI: Why Turing machines cannot pass the Turing test", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.05833.pdf"], "doi": []}, {"id": "69685a820c1ab2351f9f3517717bb0e74be31e91", "title": "Compete-free G Discriminator D Real / Fake Real Images Mutual Information Maximization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6968/5a820c1ab2351f9f3517717bb0e74be31e91.pdf"], "doi": []}, {"id": "ecc7f561976b3725f788623d84436a2685dca204", "title": "Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed", "addresses": [{"name": "PSL Research University", "source_name": "MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France", "street_adddress": "60 Boulevard Saint-Michel, 75006 Paris, France", "lat": "48.84496370", "lng": "2.33961050", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.01174.pdf"], "doi": []}, {"id": "b9c78b104b9d31e01cd852192a369c6dd6f4cbab", "title": "FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment", "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": "2019", "pdf": ["https://arxiv.org/pdf/1905.11805.pdf"], "doi": []}, {"id": "9494a253f1b3c8627587fc94e659440d355f08c8", "title": "Improved Generalisation Bounds for Deep Learning Through $L^\\infty$ Covering Numbers.", "addresses": [{"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12430.pdf"], "doi": []}, {"id": "40c7b8b84cc23c85c37598d6eaa8b21633770480", "title": "Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11960.pdf"], "doi": []}, {"id": "e351cdef6f21b64088646cb54a107998ca79360d", "title": "Label-Noise Robust Multi-Domain Image-to-Image Translation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02185.pdf"], "doi": []}, {"id": "c4da1d5ec5bab365e2f36aa874bc71660e6114b4", "title": "Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07882.pdf"], "doi": []}, {"id": "a81f1abc25596361a0583617b4da784f4b559e9c", "title": "AnonymousNet : Natural Face De-Identification with Measurable Privacy", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/a81f/1abc25596361a0583617b4da784f4b559e9c.pdf"], "doi": []}, {"id": "246a91b1737bdcc777efb7d85e37c51476886785", "title": "Detecting AI-Synthesized Speech Using Bispectral Analysis", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/e3cd/431123b6cfb5fcef2143c5dee5809b1aec77.pdf"], "doi": []}, {"id": "7ec0ad0889172e8ca394bddae1f51dfe7d6f0cbc", "title": "Adversarial Learning for Improved Onsets and Frames Music Transcription", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08512.pdf"], "doi": []}, {"id": "854aaeb2ad96d369a8d955b91dd7320056a71efb", "title": "M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.00168.pdf"], "doi": []}, {"id": "3984845ee41dd4bbd3fe5c70521e4a1d2aa05f99", "title": "AnonymousNet: Natural Face De-Identification with Measurable Privacy", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.12620.pdf"], "doi": []}, {"id": "11cc653ad48d27aeb8bf6dbdfedc8e618997914a", "title": "Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion", "addresses": [{"name": "Universitat Polit\u00e8cnica de Catalunya", "source_name": "Universitat Polit\u00e8cnica de Catalunya", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00794.pdf"], "doi": []}, {"id": "965359b3008ab50dd04e171551220ec0e7f83aba", "title": "Generative Modeling by Estimating Gradients of the Data Distribution", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05600.pdf"], "doi": []}, {"id": "78bde1f48a57f31cdf64ae68012e1b23571d7c1c", "title": "Deep Music Analogy Via Latent Representation Disentanglement", "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": "2019", "pdf": ["https://arxiv.org/pdf/1906.03626.pdf"], "doi": []}, {"id": "fbdcd3ad1ac5bd1a13a49163e568d0d85b59b2c4", "title": "Beauty Learning and Counterfactual Inference", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/fbdc/d3ad1ac5bd1a13a49163e568d0d85b59b2c4.pdf"], "doi": []}, {"id": "79bc6e1fe465aec49d7f0252f295c0ad9cdaf389", "title": "Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning", "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": "2019", "pdf": ["https://arxiv.org/pdf/1909.01871.pdf"], "doi": []}, {"id": "2e4d61d0f4ab8a0c254302882aa354eaf08b558e", "title": "Compositional Deep Learning", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.08292.pdf"], "doi": []}, {"id": "03e504fd71cdc80ebcc16798e951ece979eb7e0e", "title": "Image Synthesis From Reconfigurable Layout and Style", "addresses": [{"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07500.pdf"], "doi": []}, {"id": "00163b1287321eab6543c087f866f79f6c743ddb", "title": "ChromaGAN: An Adversarial Approach for Picture Colorization", "addresses": [{"name": "University Pompeu Fabra", "source_name": "Computational Imaging Lab, University Pompeu Fabra, Barcelona, Spain", "street_adddress": "Pla\u00e7a de la Merc\u00e8, 10, 08002 Barcelona, Spain", "lat": "41.37896890", "lng": "2.17979410", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.09837.pdf"], "doi": []}, {"id": "995ce8f3d36ee6a2231e8026e85b5b1f98bd28c7", "title": "Exposing GAN-synthesized Faces Using Landmark Locations", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "University of the Chinese Academy of Sciences", "source_name": "The Institute of Optics and Electronics Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Chengdu, China", "street_adddress": "Chengdu, Sichuan, China", "lat": "30.57281500", "lng": "104.06680100", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3335724"]}, {"id": "5a2ab612052ca0d28e67cd8789d56f4260d93a00", "title": "FADN: Features Attention with Deep Networks for Remote-Image Classification", "addresses": [{"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"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"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8735452"]}, {"id": "426ce52b0c4ac73e6226c532d4d8a2171f12e9fb", "title": "Emotion Reinforced Visual Storytelling", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3325050"]}, {"id": "6b013d0027eb05b318bc08f716920b3d92582682", "title": "Attribute-Driven Spontaneous Motion in Unpaired Image Translation", "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": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}, {"name": "Harbin Institute of Technology, Shenzhen", "source_name": "Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China", "street_adddress": "China, Guangdong, Shenzhen, Nanshan, \u5e73\u5c71\u4e00\u8def", "lat": "22.58675200", "lng": "113.96878000", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.01452.pdf"], "doi": []}, {"id": "7fa4c76d55d5fd7007e4cbce46ad8c8cda111325", "title": "Latent Optimization for Non-adversarial Representation Disentanglement", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11796.pdf"], "doi": []}, {"id": "e40ac1763af1635393d7b556f750a7ad5c41abde", "title": "Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.09453.pdf"], "doi": []}, {"id": "1da3ffde612cbdfa861e9b530c3b795504682335", "title": "Detecting and Simulating Artifacts in GAN Fake Images", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.06515.pdf"], "doi": []}, {"id": "c13ce6211c96ddaea9560254860e628c70da2ca5", "title": "Audio query-based music source separation", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.06593.pdf"], "doi": []}, {"id": "edbe883de858f2f8aff760b24626ee1e7eaeadaf", "title": "Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.03728.pdf"], "doi": []}, {"id": "ccaf15d4ad006171061508ca0a99c73814671501", "title": "SinGAN: Learning a Generative Model from a Single Natural Image", "addresses": [{"name": "Technion", "source_name": "Technion", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.01164.pdf"], "doi": []}, {"id": "c2d6cf8933e6c034bf2a81b0a061115bcb1d9b9a", "title": "Adversarial Self-Defense for Cycle-Consistent GANs", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01517.pdf"], "doi": []}, {"id": "833b441526ebfc8e5308d963ca7aafd630a8debc", "title": "Freeze and Chaos for DNNs: an NTK view of Batch Normalization, Checkerboard and Boundary Effects", "addresses": [{"name": "Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "Signal Processing Laboratory (LTS5), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05715.pdf"], "doi": []}, {"id": "d8d89a0a1eca983512247af701a9e5596c903a16", "title": "Interpreting the Latent Space of GANs for Semantic Face Editing", "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": "2019", "pdf": ["https://arxiv.org/pdf/1907.10786.pdf"], "doi": []}, {"id": "5e088e188bd67f902ac28aef98dc433fc334ecb8", "title": "PolyGAN: High-Order Polynomial Generators", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.06571.pdf"], "doi": []}, {"id": "9fac2ad81a561398506ce566d897f7169583b4f8", "title": "On the \"steerability\" of generative adversarial networks", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.07171.pdf"], "doi": []}, {"id": "0ee8599185273fa78644ccccd32ae91643a80251", "title": "Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "Texas State University", "source_name": "Texas State University, San Marcos, TX, USA", "street_adddress": "601 University Dr, San Marcos, TX 78666, USA", "lat": "29.88841100", "lng": "-97.93835100", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00999.pdf"], "doi": []}, {"id": "b72dc85606e84b020629a25a653f34b612eb02bc", "title": "Class-conditioned Outline-to-Image Translation Interactive Sketch & Fill", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b72d/c85606e84b020629a25a653f34b612eb02bc.pdf"], "doi": []}, {"id": "0638f57d119cd610de8202b67398cfe47eb9fb6c", "title": "Biphasic Learning of GANs for High-Resolution Image-to-Image Translation", "addresses": [{"name": "Baidu, Inc.", "source_name": "Baidu International Technology (Shenzhen) Company, Ltd., Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06624.pdf"], "doi": []}, {"id": "dbdeac01daf69c3725032c42be04f42c17ea439d", "title": "HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01121.pdf"], "doi": []}, {"id": "b3fb0ac4a658a176dea67c825b9867cfe4024a3d", "title": "ProtoGANist: Protocol Reverse Engineering using Generative Adversarial Networks", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/b3fb/0ac4a658a176dea67c825b9867cfe4024a3d.pdf"], "doi": []}, {"id": "d7f5f03469cf133487c684c689710c0e1ed039ce", "title": "One-shot Face Reenactment", "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"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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": "2019", "pdf": ["https://arxiv.org/pdf/1908.03251.pdf"], "doi": []}, {"id": "22c46ac094c399f4a92c922a5537c93a5d03f61a", "title": "TunaGAN: Interpretable GAN for Smart Editing", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.06163.pdf"], "doi": []}, {"id": "3e248a4d381f04cba0536e53fc99dd2adcc87bc6", "title": "Copy-paste network Network input Residuals + Blending Result", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3e24/8a4d381f04cba0536e53fc99dd2adcc87bc6.pdf"], "doi": []}, {"id": "140b0b296017750309331f22e1c569aaa86f8ba5", "title": "Improved Generalisation Bounds for Deep Learning Through L\u221e Covering Numbers", "addresses": [{"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/140b/0b296017750309331f22e1c569aaa86f8ba5.pdf"], "doi": []}, {"id": "7a8d6ffbbe2b0a5e7b98d8d5d22d1f74ff60f333", "title": "DualDis: Dual-Branch Disentangling with Adversarial Learning", "addresses": [{"name": "Sorbonne Universit\u00e9", "source_name": "CNRS UMR7222, Sorbonne Universit\u00e9, Institut des Syst\u00e8mes Intelli-gents et de Robotique, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00804.pdf"], "doi": []}, {"id": "352120e91c09a4fba38aba38a554b4d36f2ec74f", "title": "O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.01931.pdf"], "doi": []}, {"id": "2c1ccf7b7d201fa53e555aa714b743144c059348", "title": "Learning to Generate Textures on 3D Meshes", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/2c1c/cf7b7d201fa53e555aa714b743144c059348.pdf"], "doi": []}, {"id": "60e69aca48ed8754c6cdd38a2a5be9575441c715", "title": "Dimensionality Reduction Flows", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01686.pdf"], "doi": []}, {"id": "d57622db429112152ee726bbee80ddd567c342bc", "title": "Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.05840.pdf"], "doi": []}, {"id": "d383dd8ced85d7898d8b1546c514a34fb626ea16", "title": "Improved Precision and Recall Metric for Assessing Generative Models", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06991.pdf"], "doi": []}, {"id": "83e06eeccfda20ef3025ab5fb311c0fadeca32d8", "title": "Beyond the feedforward sweep : feedback computations in the visual cortex", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/83e0/6eeccfda20ef3025ab5fb311c0fadeca32d8.pdf"], "doi": []}, {"id": "d6c40ae1110f665e1783440aa8fb560d72bec44f", "title": "CFSNet: Toward a Controllable Feature Space for Image Restoration", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.00634.pdf"], "doi": []}, {"id": "bfaf399acf487a57a0d19b78b9308292a3e13f1b", "title": "Design and Visualization of Guided GAN on MNIST dataset", "addresses": [{"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "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"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3338489"]}, {"id": "717d85bd48aca5d950a4da4bc63b647a57233075", "title": "HYPE: Human eYe Perceptual Evaluation of Generative Models", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01121.pdf"], "doi": []}, {"id": "acbeebdfd9dd3456628604eefcd53f50f974b132", "title": "Generative Adversarial Network in Medical Imaging: A Review", "addresses": [{"name": "University of Saskatchewan", "source_name": "University of Saskatchewan, Saskatoon, SK, Canada", "street_adddress": "Saskatoon, SK S7N, Canada", "lat": "52.13340030", "lng": "-106.63135820", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://arxiv-export-lb.library.cornell.edu/pdf/1809.07294", "https://arxiv.org/pdf/1809.07294.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/31521965", "https://doi.org/10.1016/j.media.2019.101552"]}, {"id": "3a7fa673ff8ec4ec2f322473de005f3cd09ea820", "title": "AutoML: A Survey of the State-of-the-Art", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00709.pdf"], "doi": []}, {"id": "d3810f2c401874651afce74fb0a54b309491cc29", "title": "AutoGAN: Neural Architecture Search for Generative Adversarial Networks", "addresses": [{"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.03835.pdf"], "doi": []}, {"id": "98967cbb7887088b0681e79e7e99d30c44c5de12", "title": "Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation", "addresses": [{"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.10489.pdf"], "doi": []}, {"id": "9656a10c9d4a35fd8d4ad994bc03fcd69231ff22", "title": "Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving", "addresses": [{"name": "Valeo Vision Systems, Ireland", "source_name": "Valeo Vision Systems, Ireland", "street_adddress": "IDA Business Park, Dunmore Rd, Galway, Ireland", "lat": "53.52190380", "lng": "-8.84273220", "type": "edu", "country": "Ireland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03442.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/citations/megaface.json b/site/datasets/citations/megaface.json
index d5a3a675..b9e3b626 100644
--- a/site/datasets/citations/megaface.json
+++ b/site/datasets/citations/megaface.json
@@ -1 +1 @@
-{"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "paper": {"key": "megaface", "name": "MegaFace", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "addresses": []}, "citations": [{"id": "16fc85bc7dd8c86fa87667f4de9b324b8584b3f4", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network", "addresses": [{"name": "Mitsubishi Electr. Res. Lab., Cambridge, MA, USA", "source_name": "Mitsubishi Electr. Res. Lab., Cambridge, MA, USA", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10974.pdf"], "doi": []}, {"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}, {"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"], "doi": []}, {"id": "4f686309f5a34d5a5c687539b71bac0bafd8476f", "title": "The Devil of Face Recognition is in the Noise", "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"}, {"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "343867ee70924b56d93d7c3680606cec76ba7d80", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3438/67ee70924b56d93d7c3680606cec76ba7d80.pdf"], "doi": []}, {"id": "8a2deb2b4216f6c065c5e955706ce157d96625a1", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8680708"]}, {"id": "8f1abae983acc7123257bece2afd334549dfe94d", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained 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": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8599059"]}, {"id": "35937ab3aaf3b8eee89180a1b892c3daa96d2bab", "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", "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": "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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00292.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"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"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "f0928c32a9b483dc0a0e6b34fa356ba525622edb", "title": "Landmark Detection in Low Resolution Faces with Semi-Supervised Learning", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.13255.pdf"], "doi": []}, {"id": "1e230f60702b7b9009088d7c3db31e50d0a399c9", "title": "Compressing Gradient Optimizers via Count-Sketches", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00179.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "2cc541baf1f0b46e87b77a448e972e44ae55f3ca", "title": "On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "Pontificia Universidad Cat\u00f3lica de Chile", "source_name": "Pontificia Universidad Católica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600370"]}, {"id": "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "title": "A Pipeline to Improve Face Recognition Datasets and Applications", "addresses": [{"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}, {"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8634724"]}, {"id": "3d85cf942efda695347c7d95485fcd1e6796ee3a", "title": "Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00112.pdf"], "doi": []}, {"id": "269c7aeca29dae51dca8208815f1c4c81bd471c2", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "32b91732ef7f19023fbc20452f2a047105af87f1", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "47b14a600e6728fb964b3cc964433480560142fa", "title": "Recognizing Disguised Faces in the Wild", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8663389"]}, {"id": "e42f9b2e975f5f55757b3b842b5a63a9e0600575", "title": "Large Scale Clustering with Variational EM for Gaussian Mixture Models", "addresses": [{"name": "University of Oldenburg", "source_name": "University of Oldenburg, Oldenburg, Germany", "street_adddress": "Ammerl\u00e4nder Heerstra\u00dfe 114-118, 26129 Oldenburg, Germany", "lat": "53.14749210", "lng": "8.18176450", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.00803.pdf"], "doi": []}, {"id": "21117380118ddce47b3c515c5228372c513e61ba", "title": "Deep Face Recognition: A Survey", "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/1804.06655.pdf"], "doi": []}, {"id": "e2e5093f8164b3c3bb5ac0d223c2100e9f334f6c", "title": "Unequal-training for Deep Face Recognition with Long-tailed Noisy Data", "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": "", "pdf": ["https://pdfs.semanticscholar.org/e2e5/093f8164b3c3bb5ac0d223c2100e9f334f6c.pdf"], "doi": []}, {"id": "4d46fd59364ed5ec8f50abe68cd7886379bfd80a", "title": "Learning from Millions of 3D Scans for Large-Scale 3D Face Recognition", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05942.pdf"], "doi": []}, {"id": "07c341ec8b82a3c4df9e0aeff53ef43a73f59829", "title": "AdaptiveFace: Adaptive Margin and Sampling for Face Recognition", "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"}, {"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": "2019", "pdf": ["https://pdfs.semanticscholar.org/cb76/e5fa6ef74de97a921d459654b8c3af1e71ba.pdf"], "doi": []}, {"id": "da9ffe46055b48028af2bf156c87f2b0d1feb99a", "title": "Few-shot learning for ear recognition", "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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3317646"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "fde9b77b36f678f4455e13a63d1f8d8148187f2a", "title": "Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00686.pdf"], "doi": []}, {"id": "3e4a49b86c9c34e27e00a0f250b3d82f269cf153", "title": "UniformFace: Learning Deep Equidistributed Representation for Face Recognition", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/3e4a/49b86c9c34e27e00a0f250b3d82f269cf153.pdf"], "doi": []}, {"id": "730e906ff2f3ce3da874435298b844f9a763cfe0", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "addresses": [{"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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "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/1812.00194.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "University of Nottingham Ningbo China", "source_name": "University of Nottingham Ningbo China", "street_adddress": "199 Taikang E Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.80344900", "lng": "121.56160900", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "77db92aeee3062161cc7e3b142f19563caef6756", "title": "IJB\u2013S: IARPA Janus Surveillance Video Benchmark", "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"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698584"]}, {"id": "6834b6a529c969e5feb1fb77713eff8f19704b31", "title": "Linkage Based Face Clustering via Graph Convolution Network", "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": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.11306.pdf"], "doi": []}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"], "doi": []}, {"id": "1a88203498270ccf50e7fae0edd1a7f28ba28f4f", "title": "A Scalable Formulation of Probabilistic Linear Discriminant Analysis : Applied to Face Recognition", "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"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b59c/ee1f647737ec3296ccb3daa25c890359c307.pdf"], "doi": []}, {"id": "36eac4877193fe0d137c9fd00962f1c54cca2e2b", "title": "Learning Channel-Wise Interactions for Binary Convolutional Neural Networks", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/36ea/c4877193fe0d137c9fd00962f1c54cca2e2b.pdf"], "doi": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"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"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "aa45e43f5b8ab488cf521275753f2eeb42f4a02e", "title": "DemogPairs: Quantifying the Impact of Demographic Imbalance in Deep Face Recognition", "addresses": [{"name": "Herta Security, Barcelona, Spain", "source_name": "Herta Security, Barcelona, Spain", "street_adddress": "Carrer de Pau Claris, 165, 08037 Barcelona, Spain", "lat": "41.39539080", "lng": "2.16344420", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8756625"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078973"]}, {"id": "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "title": "SREFI: Synthesis of realistic example face images", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06693.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "0782024d8aee50980cf16257e5940ff2645b977b", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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 Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "3cf1f89d73ca4b25399c237ed3e664a55cd273a2", "title": "Face Sketch Matching via Coupled Deep Transform Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02914.pdf"], "doi": []}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "9aa9379a390f547552943b4f6fb02470183493d5", "title": "GhostVLAD for Set-Based Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09951.pdf"], "doi": []}, {"id": "643d11703569766bed0a994941ae5f7b3e101659", "title": "Unsupervised Training for 3D Morphable Model Regression", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06098.pdf"], "doi": []}, {"id": "b143cf896cdc00965a24637f4c5b36b08b88a923", "title": "Modeling and Mapping Location-Dependent Human Appearance", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3368/975637d9b1a0ba217c4b9f41b79bda23a655.pdf"], "doi": []}, {"id": "907336b6bc7090bd60437c6e6b326632e702fb3c", "title": "Photo sleuth: combining human expertise and face recognition to identify historical portraits", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3302301"]}, {"id": "f264c1bd485b16e68915ad6f283d852d0cb2a255", "title": "EVALUATING SHORT-WAVE INFRARED IMAGES ON A CONVOLUTIONAL NEURAL NETWORK", "addresses": [{"name": "San Jose State University", "source_name": "San Jose State University", "street_adddress": "SJSU, El Paseo de Cesar E. Chavez, Downtown Historic District, Japantown, San Jos\u00e9, Santa Clara County, California, 95113, USA", "lat": "37.33519080", "lng": "-121.88126008", "type": "edu", "country": "United States"}, {"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}, {"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://pdfs.semanticscholar.org/f264/c1bd485b16e68915ad6f283d852d0cb2a255.pdf"], "doi": []}, {"id": "854aaeb2ad96d369a8d955b91dd7320056a71efb", "title": "M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.00168.pdf"], "doi": []}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "6d07e176c754ac42773690d4b4919a39df85d7ec", "title": "Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d07/e176c754ac42773690d4b4919a39df85d7ec.pdf"], "doi": []}, {"id": "4a75cda9341bbdcb9f370181e664508c66aee5d4", "title": "Efficient Decision-based Black-box Adversarial Attacks on Face Recognition", "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": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.04433.pdf"], "doi": []}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}, {"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Deutsche Welle, Bonn, Germany", "source_name": "Deutsche Welle, Bonn, Germany", "street_adddress": "DW, Gronau, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.71714970", "lng": "7.12825184", "type": "edu", "country": "Germany"}, {"name": "Expert Systems, Modena, Italy", "source_name": "Expert Systems, Modena, Italy", "street_adddress": "Viale Virgilio, 56/Q, 41123 Modena MO, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company", "country": "Italy"}, {"name": "GSI Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "GSI Universidad Polit-\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}, {"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}, {"name": "Paradigma Digital, Madrid, Spain", "source_name": "Paradigma Digital, Madrid, Spain", "street_adddress": "V\u00eda de las dos Castillas, 33, \u00c1tica 2, 28224 Pozuelo de Alarc\u00f3n, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company", "country": "Spain"}, {"name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "source_name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "street_adddress": "Chaloupkova 3002/1A, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "lat": "49.22383020", "lng": "16.59826020", "type": "edu", "country": "Czech Republic"}, {"name": "Siren Solutions, Dublin, Ireland", "source_name": "Siren Solutions, Dublin, Ireland", "street_adddress": "Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company", "country": "Ireland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269329", "http://doi.org/10.1109/TMM.2018.2798287", "https://www.wikidata.org/entity/Q57795813"]}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "6c7842d4062f2b755dd4aa2ca06705da86ac5370", "title": "Reconstructing 3D Face Models by Incremental Aggregation and Refinement of Depth Frames", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287309"]}, {"id": "e094f61a8d957000999dc03d0637df47bd05fe1a", "title": "Improving Face Anti-Spoofing by 3D Virtual Synthesis", "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": "2019", "pdf": ["https://arxiv.org/pdf/1901.00488.pdf"], "doi": []}, {"id": "732be2eeda341df5d5b057b05c6d2f6e0eee1171", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "f936a01b01a1ae1e9de85090cf200fbe123799bd", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"], "doi": []}, {"id": "32873f6111963607d3f768f4685fe8137fdd1253", "title": "Learning to Cluster Faces on an Affinity Graph", "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": "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.02749.pdf"], "doi": []}, {"id": "107677ff59b068d67b1a1f8b66435a5db310f264", "title": "FACE RECOGNITION WITH LOW FALSE POSITIVE ERROR RATE", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/1076/77ff59b068d67b1a1f8b66435a5db310f264.pdf"], "doi": []}, {"id": "413992b048847aa6e82631420799403e61516d23", "title": "Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4139/92b048847aa6e82631420799403e61516d23.pdf"], "doi": []}, {"id": "11a47a91471f40af5cf00449954474fd6e9f7694", "title": "NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification", "addresses": [{"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.mdpi.com/2078-2489/7/4/61/pdf"], "doi": ["http://doi.org/10.3390/info7040061"]}, {"id": "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "title": "Deep Transfer Network for Unconstrained Face Verification", "addresses": [{"name": "Beijing Institute of Graphic Communication, Beijing", "source_name": "Beijing Institute of Graphic Communication, Beijing", "street_adddress": "China, Beijing, Daxing, Qingyuan Rd, \u6e05\u6e90\u8def", "lat": "39.74388300", "lng": "116.33013400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234805"]}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "2359c3f763e96e0ee62b1119c897a32ce9715a77", "title": "Neural Computing on a Raspberry Pi : Applications to Zebrafish Behavior Monitoring", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2359/c3f763e96e0ee62b1119c897a32ce9715a77.pdf"], "doi": []}, {"id": "f76f74c6b7cd43daaa11c1eba25633c9c6cc95e9", "title": "Deformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8756575"]}, {"id": "7749009cfcc05b096811e10696dcee424409c39f", "title": "Residual Compensation Networks for Heterogeneous Face Recognition", "addresses": [{"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"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/7749/009cfcc05b096811e10696dcee424409c39f.pdf"], "doi": []}, {"id": "736f195b4c31400eb345d9a82ffebeb48cff6da8", "title": "A system-level perspective to understand the vulnerability of deep learning systems", "addresses": [{"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}, {"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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3288751"]}, {"id": "a7864df5b72e1b28c32dd793d86d57ebf44b3d34", "title": "A High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04830.pdf"], "doi": []}, {"id": "ff01bc3f49130d436fca24b987b7e3beedfa404d", "title": "Fuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical Characteristics of a Face", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.mdpi.com/2073-8994/8/8/75/pdf"], "doi": ["http://doi.org/10.3390/sym8080075"]}, {"id": "0334a8862634988cc684dacd4279c5c0d03704da", "title": "FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition", "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/1609.06591.pdf"], "doi": []}, {"id": "c98983592777952d1751103b4d397d3ace00852d", "title": "Face Synthesis from Facial Identity Features", "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://pdfs.semanticscholar.org/c989/83592777952d1751103b4d397d3ace00852d.pdf"], "doi": []}, {"id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "title": "VoxCeleb2: Deep Speaker Recognition.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8875/ae233bc074f5cd6c4ebba447b536a7e847a5.pdf"], "doi": []}, {"id": "b18858ad6ec88d8b443dffd3e944e653178bc28b", "title": "2017 Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b188/58ad6ec88d8b443dffd3e944e653178bc28b.pdf"], "doi": []}, {"id": "9fc17fa5708584fa848164461f82a69e97f6ed69", "title": "Additive Margin Softmax for Face Verification", "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 Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331118"]}, {"id": "115a14afac7d9ecede7ad071f55eb07b2c2fa6ad", "title": "Presentation of Several Secure Access Systems and Implementations", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8724986"]}, {"id": "9b07084c074ba3710fee59ed749c001ae70aa408", "title": "Computational Models of Face Perception.", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9b07/084c074ba3710fee59ed749c001ae70aa408.pdf"], "doi": []}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944942", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.38", "http://doi.org/10.1109/BigDataService.2017.38"]}, {"id": "e33ebb37c2692c3839956bda2ad801464c8d2d42", "title": "Low-resolution Visual Recognition via Deep Feature Distillation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8682926"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "6a133eb625cee083db848cc2f51a5cb54e28f67e", "title": "Noise-Tolerant Paradigm for Training Face Recognition CNNs", "addresses": [{"name": "Beijing University of Chemical Technology", "source_name": "Beijing University of Chemical Technology, Beijing, China", "street_adddress": "Chaoyang, China, 100096", "lat": "39.97095400", "lng": "116.42105300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10357.pdf"], "doi": []}, {"id": "c4696d47e0d43a6761742e15c262a224466c4b85", "title": "Correlation Congruence for Knowledge Distillation", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.01802.pdf"], "doi": []}, {"id": "a55dea7981ea0f90d1110005b5f5ca68a3175910", "title": "Are 1, 000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4db9/e5f19366fe5d6a98ca43c1d113dac823a14d.pdf"], "doi": []}, {"id": "bfd00e8dba4432d13cb26410fbeec00b071946f8", "title": "Face attribute prediction using off-the-shelf CNN features", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7550092"]}, {"id": "5a803d9334246cfb7762eb210c19459febdf4b22", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "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/1710.00870.pdf"], "doi": []}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "cf517aad72c17328486d759f22755e43a9cd1b76", "title": "Deep multi-factor forensic face recognition", "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": "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": ["https://pdfs.semanticscholar.org/cf51/7aad72c17328486d759f22755e43a9cd1b76.pdf"], "doi": []}, {"id": "0fbdaad9fe987dfecb187597675276073bc679c0", "title": "Bag of Negatives for Siamese Architectures", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.02391.pdf"], "doi": []}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "aaa2b45153051e23d5a35ccf9af8ecabc0fe24cd", "title": "1 How Good can Human Predict Facial Age ?", "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": "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://pdfs.semanticscholar.org/aaa2/b45153051e23d5a35ccf9af8ecabc0fe24cd.pdf"], "doi": []}, {"id": "73a6da41ae63e5e32327909eef6f78a05624425b", "title": "Beyond PCA: Deep Learning Approaches for Face Modeling and Aging", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/73a6/da41ae63e5e32327909eef6f78a05624425b.pdf"], "doi": []}, {"id": "ee58f4651fce3ff804fee472229259e0902f1b40", "title": "Eigenvector-Based Distance Metric Learning for Image Classification and Retrieval", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3340262"]}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Dailian University of Technology", "source_name": "Dailian University of Technology, Dalian, China", "street_adddress": "China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, \u51cc\u5de5\u8def2\u53f7 \u90ae\u653f\u7f16\u7801: 116023", "lat": "38.88038100", "lng": "121.52902100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "e3dacba4399fc66f31779060db730ea423f341d8", "title": "AdvHat: Real-world adversarial attack on ArcFace Face ID system", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.08705.pdf"], "doi": []}, {"id": "d4f100ca5edfe53b562f1d170b2c48939bab0e27", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "3c300649fd125ebd56e489086aabba7ac9f100f0", "title": "Unsupervised incremental learning of deep descriptors from video streams", "addresses": [{"name": "MICC - University of Florence", "source_name": "MICC - University of Florence, Italy", "street_adddress": "Viale Giovanni Battista Morgagni, 65, 50134 Firenze FI, Italy", "lat": "43.80243520", "lng": "11.24479160", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026276"]}, {"id": "73c07e0a998576bb9d9409e5eed713788c0be037", "title": "Large-Scale Long-Tailed Recognition in an Open World", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.05160.pdf"], "doi": []}, {"id": "13b2bc8101a2a7a0c95412c48f40ef95e798e9fb", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Emory University", "source_name": "Emory University, Atlanta, USA", "street_adddress": "201 Dowman Dr, Atlanta, GA 30322, USA", "lat": "33.79251950", "lng": "-84.32399890", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "09997e8f71dafb78680b8c5002e80f7f1d71b896", "title": "Leveraging Biometrics for Insider Misuse Identification", "addresses": [{"name": "Plymouth University", "source_name": "Plymouth University", "street_adddress": "Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37552690", "lng": "-4.13937687", "type": "edu", "country": "United Kingdom"}, {"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0999/7e8f71dafb78680b8c5002e80f7f1d71b896.pdf"], "doi": []}, {"id": "946309ee4a45dfff6dc3a52ae1268682db788904", "title": "Second Opinion : Supporting Last-Mile Person Identification with Crowdsourcing and Face Recognition", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/9463/09ee4a45dfff6dc3a52ae1268682db788904.pdf"], "doi": []}, {"id": "0598704b50ca85672f721e20a559df6d1a363787", "title": "Deep Learning for Face Recognition: Pride or Prejudiced?", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01219.pdf"], "doi": []}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "a52a69bf304d49fba6eac6a73c5169834c77042d", "title": "Margin Loss: Making Faces More Separable", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245803", "http://doi.org/10.1109/LSP.2017.2789251"]}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "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": "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": "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": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "698e010265693da378aa3baf90d2b195ebbcc2a3", "title": "Robust statistical deformable models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/698e/010265693da378aa3baf90d2b195ebbcc2a3.pdf"], "doi": []}, {"id": "7f246e2877d764842b588ca491677949233ee75b", "title": "Face Detection and Verification Using Lensless Cameras", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8590781"]}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025149"]}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272698", "http://doi.org/10.1109/BTAS.2017.8272698"]}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984059"]}, {"id": "76e333e5941a91da1fc4c5ddf9a06d02fea01496", "title": "FaceGenderID : Exploiting Gender Information in DCNNs Face Recognition Systems", "addresses": [{"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}, {"name": "University of Beira Interior, Portugal", "source_name": "IT - Instituto de Telecomunica\u00e7\u00f5es, University of Beira Interior, Portugal", "street_adddress": "IT - Instituto de Telecomunica\u00e7\u00f5es, 3810-193 Aveiro, Portugal", "lat": "40.63413220", "lng": "-8.65997260", "type": "edu", "country": "Portugal"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/76e3/33e5941a91da1fc4c5ddf9a06d02fea01496.pdf"], "doi": []}, {"id": "5234caf3bcc1edb0b38554b4ffddf5a46877dd45", "title": "Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.06290.pdf"], "doi": []}, {"id": "5e24dcafd1219cd77717e625895bf4abc4af7c09", "title": "Multi-View Face Recognition and Verification Based on Convolutional Neural Network", "addresses": [{"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633146"]}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "1bc59a186886e14f3b025dc3469d40d38d6c4803", "title": "Grand Challenge of 106-Point Facial Landmark Localization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8794971"]}, {"id": "228ea13041910c41b50d0052bdce924037c3bc6a", "title": "A Review Paper Between Open Source and Commercial SDK and Performance Comparisons of Face Matchers", "addresses": [{"name": "National Science and Technology Development Agency, Thailand", "source_name": "National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand", "street_adddress": "Pathum Thani 12120, Thailand", "lat": "14.09502500", "lng": "100.66471010", "type": "gov", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434495"]}, {"id": "2a09be75ebe85f64a198d20766872c66cb2f00d6", "title": "Person Recognition at a Distance: Improving Face Recognition Through Body Static Information", "addresses": [{"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545112", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545112", "http://doi.org/10.1109/ICPR.2018.8545112"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "732c32d7a71190407edc6475dd7aabd3c9a3c2fd", "title": "Face Match for Family Reunification: Real-World Face Image Retrieval", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c88c/e5ef33d5e544224ab50162d9883ff6429aa3.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "a879793dd57cbebb9f3be1018b8e7eb904ce546c", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "title": "To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04823.pdf"], "doi": []}, {"id": "75249ebb85b74e8932496272f38af274fbcfd696", "title": "Face Identification in Large Galleries", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7524/9ebb85b74e8932496272f38af274fbcfd696.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8063888", "http://doi.org/10.1109/JIOT.2017.2761801", "https://doi.org/10.1109/JIOT.2017.2761801"]}, {"id": "6d0546bf573bd398bbccf612a6accfb681f16bc6", "title": "Robust face recognition", "addresses": [{"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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8db8/d03a1428d463a9149796d1b954ac75955ad6.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "83e06eeccfda20ef3025ab5fb311c0fadeca32d8", "title": "Beyond the feedforward sweep : feedback computations in the visual cortex", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/83e0/6eeccfda20ef3025ab5fb311c0fadeca32d8.pdf"], "doi": []}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"], "doi": []}, {"id": "13bc74da897ee40dbf8662f0b11eb5a276006b30", "title": "Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet loss", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07923.pdf"], "doi": []}, {"id": "155c56f504768b7446896dc6bb1845b79c8c5322", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "addresses": [{"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "e7da564afdf8162489cbace970f26b239913d1f1", "title": "R 3 Adversarial Network for Cross Model Face Recognition", "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": "", "pdf": ["https://pdfs.semanticscholar.org/e7da/564afdf8162489cbace970f26b239913d1f1.pdf"], "doi": []}, {"id": "08f7ac64b420210aa46fcbbdb0f206215f2e0644", "title": "Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08f7/ac64b420210aa46fcbbdb0f206215f2e0644.pdf"], "doi": []}, {"id": "891dfc8c124680a5b03c8dbf84e6136286015861", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "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": "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "582edc19f2b1ab2ac6883426f147196c8306685a", "title": "Do We Really Need to Collect Millions of Faces for Effective Face Recognition?", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07057.pdf"], "doi": []}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"name": "University of Pavia", "source_name": "Computer and Biomedical Engineering, University of Pavia, Pavia, Italy", "street_adddress": "Corso Str. Nuova, 65, 27100 Pavia PV, Italy", "lat": "45.18671560", "lng": "9.15610410", "type": "edu", "country": "Italy"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119", "http://doi.org/10.1109/TIP.2018.2861359", "https://doi.org/10.1109/TIP.2018.2861359", "https://www.ncbi.nlm.nih.gov/pubmed/30059306"]}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"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": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"], "doi": []}, {"id": "91e17338a12b5e570907e816bff296b13177971e", "title": "Towards open-set face recognition using hashing functions", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_IJCB.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272751", "http://doi.org/10.1109/BTAS.2017.8272751"]}, {"id": "8181bf57f235ac8ee02c27cc28781174a19c342b", "title": "The unconstrained ear recognition challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}, {"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"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272761"]}, {"id": "a73bc5398c1ecf9ab8c755ad6af4d7e4774ca7ec", "title": "Gender shades : intersectional phenotypic and demographic evaluation of face datasets and gender classifiers", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a73b/c5398c1ecf9ab8c755ad6af4d7e4774ca7ec.pdf"], "doi": []}, {"id": "b378b6aee5845c58182cec730f356ec2bf4e60e1", "title": "Contributions in face detection with deep neural networks", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b378/b6aee5845c58182cec730f356ec2bf4e60e1.pdf"], "doi": []}, {"id": "1aac36122c07ecccfd59d912c22865801f096190", "title": "Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}, {"name": "University of Copenhagen", "source_name": "University of Copenhagen", "street_adddress": "K\u00f8benhavns Universitet, Krystalgade, K\u00f8dbyen, Vesterbro, K\u00f8benhavn, K\u00f8benhavns Kommune, Region Hovedstaden, 1165, Danmark", "lat": "55.68015020", "lng": "12.57232700", "type": "edu", "country": "Denmark"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03827.pdf"], "doi": []}, {"id": "58d0c140597aa658345230615fb34e2c750d164c", "title": "Continuous Biometric Verification for Non-Repudiation of Remote Services", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3098969"]}, {"id": "4cdb6144d56098b819076a8572a664a2c2d27f72", "title": "Face Synthesis for Eyeglass-Robust Face Recognition", "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/1806.01196.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "ac5d96111cf57a2062f627cbcefcd5303ba929d2", "title": "RegularFace: Deep Face Recognition via Exclusive Regularization", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/ac5d/96111cf57a2062f627cbcefcd5303ba929d2.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "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": "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": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "title": "Pose-Selective Max Pooling for Measuring Similarity", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07042.pdf"], "doi": []}, {"id": "270e5266a1f6e76954dedbc2caf6ff61a5fbf8d0", "title": "EmotioNet Challenge: Recognition of facial expressions of emotion in the wild", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01210.pdf"], "doi": []}, {"id": "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265510"]}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "addresses": [{"name": "Computer Vision Group (www.vision4uav.com), Centro de Autom\u00e1tica y Rob\u00f3tica (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006, Spain", "source_name": "Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain", "street_adddress": "Madrid, Spain", "lat": "40.41677540", "lng": "-3.70379020", "type": "edu", "country": "Spain"}, {"name": "Indian Institute of Information Technology, Sri City, India", "source_name": "Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "a581dab3ab41adfd843ac51af30d47022a5f855a", "title": "Training Deep Face Recognition Systems with Synthetic Data", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05891.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "53ea629b5933430eafa98692edf39ab2bd737d09", "title": "Probabilistic Face Embeddings", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.09658.pdf"], "doi": []}, {"id": "9d60bc023f5a1a36ed0b509c0f445fcad02d0abf", "title": "FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}, {"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.11179.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "f4a44b94d4b184e4638cb1019526170590f99ac4", "title": "AM-LFS: AutoML for Loss Function Search", "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"}, {"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": "2019", "pdf": ["https://arxiv.org/pdf/1905.07375.pdf"], "doi": []}, {"id": "659c15db147539006b08f238bf3ef5be0a9634f3", "title": "LEARNING QUALITY, AESTHETICS, AND FACIAL ATTRIBUTES FOR IMAGE ANNOTATION", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/659c/15db147539006b08f238bf3ef5be0a9634f3.pdf"], "doi": []}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"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"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "6bb2326c8981a07498555df64416d764f03a30c0", "title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07261.pdf"], "doi": []}, {"id": "e9bf13544548a4073613967689b6b1b8f2d9f699", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification 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"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477558", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558", "http://doi.org/10.1109/WACV.2016.7477558"]}, {"id": "89c7a842499c9ab4362cfdba61fe4f2ae3706fcf", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "4ad8178e285901c886e3e2e66f2340115347b23f", "title": "A Comprehensive Study on Center Loss for Deep Face Recognition", "addresses": [{"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": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01142-4"]}, {"id": "6a32c75f12f804bf0d6062240d472fa3dc998e1a", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "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": "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": "Singapore / National University of Singapore", "source_name": "A*STAR, Singapore / National University of Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "b61e8a314073c3550455e93a55c98e19afc30ee1", "title": "Loss Decomposition for Fast Learning in Large Output Spaces", "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", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b61e/8a314073c3550455e93a55c98e19afc30ee1.pdf"], "doi": []}, {"id": "00ecf52b6c6c76c4c74d3c0dfe42ad6064ac79cb", "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", "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": "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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00292.pdf"], "doi": []}, {"id": "8112ff3be88f31b100004b7ce19d68fc306f05e7", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "addresses": [{"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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "dbf1b8febb5047a04029139ee1a9e71cbd7e3cdd", "title": "Compressing Gradient Optimizers via Count-Sketches", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00179.pdf"], "doi": []}, {"id": "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "title": "Fast Face Image Synthesis with Minimal Training.", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "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": "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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 Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "57246142814d7010d3592e3a39a1ed819dd01f3b", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5724/6142814d7010d3592e3a39a1ed819dd01f3b.pdf"], "doi": []}, {"id": "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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 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": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "addresses": [{"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "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": "Robotics Institute at Carnegie Mellon University", "source_name": "Robotics Institute at Carnegie Mellon University, USA", "street_adddress": "Pittsburgh, PA 15213, USA", "lat": "40.44327410", "lng": "-79.94569950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "7b0ed3d67375a4542133c992f4e55fd4ade0cd90", "title": "Knowledge Distillation via Route Constrained Optimization", "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"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "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": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.09149.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "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/1710.00870.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "paper": {"key": "megaface", "name": "MegaFace", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "addresses": []}, "citations": [{"id": "16fc85bc7dd8c86fa87667f4de9b324b8584b3f4", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network", "addresses": [{"name": "Mitsubishi Electr. Res. Lab., Cambridge, MA, USA", "source_name": "Mitsubishi Electr. Res. Lab., Cambridge, MA, USA", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10974.pdf"], "doi": []}, {"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "da57bcc1a6c3b12eece51eded72035d21af10584", "title": "VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing", "addresses": [{"name": "Horizon Robotics", "source_name": "Horizon Robotics", "street_adddress": "317 3F 1 Zhongguancun Street Haidian District Beijing, 100190 China", "lat": "39.97558000", "lng": "116.31126000", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05653.pdf"], "doi": []}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}, {"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"], "doi": []}, {"id": "4f686309f5a34d5a5c687539b71bac0bafd8476f", "title": "The Devil of Face Recognition is in the Noise", "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"}, {"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "343867ee70924b56d93d7c3680606cec76ba7d80", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3438/67ee70924b56d93d7c3680606cec76ba7d80.pdf"], "doi": []}, {"id": "8a2deb2b4216f6c065c5e955706ce157d96625a1", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8680708"]}, {"id": "8f1abae983acc7123257bece2afd334549dfe94d", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained 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": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8599059"]}, {"id": "35937ab3aaf3b8eee89180a1b892c3daa96d2bab", "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", "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": "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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00292.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"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"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "f0928c32a9b483dc0a0e6b34fa356ba525622edb", "title": "Landmark Detection in Low Resolution Faces with Semi-Supervised Learning", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.13255.pdf"], "doi": []}, {"id": "1e230f60702b7b9009088d7c3db31e50d0a399c9", "title": "Compressing Gradient Optimizers via Count-Sketches", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00179.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "2cc541baf1f0b46e87b77a448e972e44ae55f3ca", "title": "On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "Pontificia Universidad Cat\u00f3lica de Chile", "source_name": "Pontificia Universidad Católica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600370"]}, {"id": "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "title": "A Pipeline to Improve Face Recognition Datasets and Applications", "addresses": [{"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}, {"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8634724"]}, {"id": "3d85cf942efda695347c7d95485fcd1e6796ee3a", "title": "Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00112.pdf"], "doi": []}, {"id": "269c7aeca29dae51dca8208815f1c4c81bd471c2", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "32b91732ef7f19023fbc20452f2a047105af87f1", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "47b14a600e6728fb964b3cc964433480560142fa", "title": "Recognizing Disguised Faces in the Wild", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8663389"]}, {"id": "e42f9b2e975f5f55757b3b842b5a63a9e0600575", "title": "Large Scale Clustering with Variational EM for Gaussian Mixture Models", "addresses": [{"name": "University of Oldenburg", "source_name": "University of Oldenburg, Oldenburg, Germany", "street_adddress": "Ammerl\u00e4nder Heerstra\u00dfe 114-118, 26129 Oldenburg, Germany", "lat": "53.14749210", "lng": "8.18176450", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.00803.pdf"], "doi": []}, {"id": "21117380118ddce47b3c515c5228372c513e61ba", "title": "Deep Face Recognition: A Survey", "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/1804.06655.pdf"], "doi": []}, {"id": "e2e5093f8164b3c3bb5ac0d223c2100e9f334f6c", "title": "Unequal-training for Deep Face Recognition with Long-tailed Noisy Data", "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": "", "pdf": ["https://pdfs.semanticscholar.org/e2e5/093f8164b3c3bb5ac0d223c2100e9f334f6c.pdf"], "doi": []}, {"id": "4d46fd59364ed5ec8f50abe68cd7886379bfd80a", "title": "Learning from Millions of 3D Scans for Large-Scale 3D Face Recognition", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05942.pdf"], "doi": []}, {"id": "07c341ec8b82a3c4df9e0aeff53ef43a73f59829", "title": "AdaptiveFace: Adaptive Margin and Sampling for Face Recognition", "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"}, {"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": "2019", "pdf": ["https://pdfs.semanticscholar.org/cb76/e5fa6ef74de97a921d459654b8c3af1e71ba.pdf"], "doi": []}, {"id": "da9ffe46055b48028af2bf156c87f2b0d1feb99a", "title": "Few-shot learning for ear recognition", "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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3317646"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "fde9b77b36f678f4455e13a63d1f8d8148187f2a", "title": "Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00686.pdf"], "doi": []}, {"id": "3e4a49b86c9c34e27e00a0f250b3d82f269cf153", "title": "UniformFace: Learning Deep Equidistributed Representation for Face Recognition", "addresses": [{"name": "State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology", "source_name": "State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, UK", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tsinghua University & Beijing National Research Center for Information Science and Technology", "source_name": "Tsinghua University & Beijing National Research Center for Information Science and Technology, Beijing, China", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3e4a/49b86c9c34e27e00a0f250b3d82f269cf153.pdf"], "doi": []}, {"id": "730e906ff2f3ce3da874435298b844f9a763cfe0", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "addresses": [{"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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "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/1812.00194.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "University of Nottingham Ningbo China", "source_name": "University of Nottingham Ningbo China", "street_adddress": "199 Taikang E Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.80344900", "lng": "121.56160900", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "77db92aeee3062161cc7e3b142f19563caef6756", "title": "IJB\u2013S: IARPA Janus Surveillance Video Benchmark", "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"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698584"]}, {"id": "6834b6a529c969e5feb1fb77713eff8f19704b31", "title": "Linkage Based Face Clustering via Graph Convolution Network", "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": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.11306.pdf"], "doi": []}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"], "doi": []}, {"id": "1a88203498270ccf50e7fae0edd1a7f28ba28f4f", "title": "A Scalable Formulation of Probabilistic Linear Discriminant Analysis : Applied to Face Recognition", "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"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b59c/ee1f647737ec3296ccb3daa25c890359c307.pdf"], "doi": []}, {"id": "36eac4877193fe0d137c9fd00962f1c54cca2e2b", "title": "Learning Channel-Wise Interactions for Binary Convolutional Neural Networks", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/36ea/c4877193fe0d137c9fd00962f1c54cca2e2b.pdf"], "doi": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"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"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "aa45e43f5b8ab488cf521275753f2eeb42f4a02e", "title": "DemogPairs: Quantifying the Impact of Demographic Imbalance in Deep Face Recognition", "addresses": [{"name": "Herta Security, Barcelona, Spain", "source_name": "Herta Security, Barcelona, Spain", "street_adddress": "Carrer de Pau Claris, 165, 08037 Barcelona, Spain", "lat": "41.39539080", "lng": "2.16344420", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8756625"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078973"]}, {"id": "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "title": "SREFI: Synthesis of realistic example face images", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06693.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "0782024d8aee50980cf16257e5940ff2645b977b", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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 Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "3cf1f89d73ca4b25399c237ed3e664a55cd273a2", "title": "Face Sketch Matching via Coupled Deep Transform Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02914.pdf"], "doi": []}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "9aa9379a390f547552943b4f6fb02470183493d5", "title": "GhostVLAD for Set-Based Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09951.pdf"], "doi": []}, {"id": "643d11703569766bed0a994941ae5f7b3e101659", "title": "Unsupervised Training for 3D Morphable Model Regression", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06098.pdf"], "doi": []}, {"id": "b143cf896cdc00965a24637f4c5b36b08b88a923", "title": "Modeling and Mapping Location-Dependent Human Appearance", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3368/975637d9b1a0ba217c4b9f41b79bda23a655.pdf"], "doi": []}, {"id": "907336b6bc7090bd60437c6e6b326632e702fb3c", "title": "Photo sleuth: combining human expertise and face recognition to identify historical portraits", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3302301"]}, {"id": "f264c1bd485b16e68915ad6f283d852d0cb2a255", "title": "EVALUATING SHORT-WAVE INFRARED IMAGES ON A CONVOLUTIONAL NEURAL NETWORK", "addresses": [{"name": "San Jose State University", "source_name": "San Jose State University", "street_adddress": "SJSU, El Paseo de Cesar E. Chavez, Downtown Historic District, Japantown, San Jos\u00e9, Santa Clara County, California, 95113, USA", "lat": "37.33519080", "lng": "-121.88126008", "type": "edu", "country": "United States"}, {"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}, {"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://pdfs.semanticscholar.org/f264/c1bd485b16e68915ad6f283d852d0cb2a255.pdf"], "doi": []}, {"id": "854aaeb2ad96d369a8d955b91dd7320056a71efb", "title": "M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.00168.pdf"], "doi": []}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "6d07e176c754ac42773690d4b4919a39df85d7ec", "title": "Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d07/e176c754ac42773690d4b4919a39df85d7ec.pdf"], "doi": []}, {"id": "4a75cda9341bbdcb9f370181e664508c66aee5d4", "title": "Efficient Decision-based Black-box Adversarial Attacks on Face Recognition", "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": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.04433.pdf"], "doi": []}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}, {"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Deutsche Welle, Bonn, Germany", "source_name": "Deutsche Welle, Bonn, Germany", "street_adddress": "DW, Gronau, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.71714970", "lng": "7.12825184", "type": "edu", "country": "Germany"}, {"name": "Expert Systems, Modena, Italy", "source_name": "Expert Systems, Modena, Italy", "street_adddress": "Viale Virgilio, 56/Q, 41123 Modena MO, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company", "country": "Italy"}, {"name": "GSI Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "GSI Universidad Polit-\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}, {"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}, {"name": "Paradigma Digital, Madrid, Spain", "source_name": "Paradigma Digital, Madrid, Spain", "street_adddress": "V\u00eda de las dos Castillas, 33, \u00c1tica 2, 28224 Pozuelo de Alarc\u00f3n, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company", "country": "Spain"}, {"name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "source_name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "street_adddress": "Chaloupkova 3002/1A, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "lat": "49.22383020", "lng": "16.59826020", "type": "edu", "country": "Czech Republic"}, {"name": "Siren Solutions, Dublin, Ireland", "source_name": "Siren Solutions, Dublin, Ireland", "street_adddress": "Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company", "country": "Ireland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269329", "http://doi.org/10.1109/TMM.2018.2798287", "https://www.wikidata.org/entity/Q57795813"]}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "6c7842d4062f2b755dd4aa2ca06705da86ac5370", "title": "Reconstructing 3D Face Models by Incremental Aggregation and Refinement of Depth Frames", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287309"]}, {"id": "e094f61a8d957000999dc03d0637df47bd05fe1a", "title": "Improving Face Anti-Spoofing by 3D Virtual Synthesis", "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": "2019", "pdf": ["https://arxiv.org/pdf/1901.00488.pdf"], "doi": []}, {"id": "732be2eeda341df5d5b057b05c6d2f6e0eee1171", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "f936a01b01a1ae1e9de85090cf200fbe123799bd", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"], "doi": []}, {"id": "32873f6111963607d3f768f4685fe8137fdd1253", "title": "Learning to Cluster Faces on an Affinity Graph", "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": "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.02749.pdf"], "doi": []}, {"id": "107677ff59b068d67b1a1f8b66435a5db310f264", "title": "FACE RECOGNITION WITH LOW FALSE POSITIVE ERROR RATE", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/1076/77ff59b068d67b1a1f8b66435a5db310f264.pdf"], "doi": []}, {"id": "413992b048847aa6e82631420799403e61516d23", "title": "Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4139/92b048847aa6e82631420799403e61516d23.pdf"], "doi": []}, {"id": "11a47a91471f40af5cf00449954474fd6e9f7694", "title": "NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification", "addresses": [{"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.mdpi.com/2078-2489/7/4/61/pdf"], "doi": ["http://doi.org/10.3390/info7040061"]}, {"id": "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "title": "Deep Transfer Network for Unconstrained Face Verification", "addresses": [{"name": "Beijing Institute of Graphic Communication, Beijing", "source_name": "Beijing Institute of Graphic Communication, Beijing", "street_adddress": "China, Beijing, Daxing, Qingyuan Rd, \u6e05\u6e90\u8def", "lat": "39.74388300", "lng": "116.33013400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234805"]}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "2359c3f763e96e0ee62b1119c897a32ce9715a77", "title": "Neural Computing on a Raspberry Pi : Applications to Zebrafish Behavior Monitoring", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2359/c3f763e96e0ee62b1119c897a32ce9715a77.pdf"], "doi": []}, {"id": "f76f74c6b7cd43daaa11c1eba25633c9c6cc95e9", "title": "Deformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8756575"]}, {"id": "7749009cfcc05b096811e10696dcee424409c39f", "title": "Residual Compensation Networks for Heterogeneous Face Recognition", "addresses": [{"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"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/7749/009cfcc05b096811e10696dcee424409c39f.pdf"], "doi": []}, {"id": "736f195b4c31400eb345d9a82ffebeb48cff6da8", "title": "A system-level perspective to understand the vulnerability of deep learning systems", "addresses": [{"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}, {"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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3288751"]}, {"id": "a7864df5b72e1b28c32dd793d86d57ebf44b3d34", "title": "A High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04830.pdf"], "doi": []}, {"id": "ff01bc3f49130d436fca24b987b7e3beedfa404d", "title": "Fuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical Characteristics of a Face", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.mdpi.com/2073-8994/8/8/75/pdf"], "doi": ["http://doi.org/10.3390/sym8080075"]}, {"id": "0334a8862634988cc684dacd4279c5c0d03704da", "title": "FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition", "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/1609.06591.pdf"], "doi": []}, {"id": "c98983592777952d1751103b4d397d3ace00852d", "title": "Face Synthesis from Facial Identity Features", "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://pdfs.semanticscholar.org/c989/83592777952d1751103b4d397d3ace00852d.pdf"], "doi": []}, {"id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "title": "VoxCeleb2: Deep Speaker Recognition.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8875/ae233bc074f5cd6c4ebba447b536a7e847a5.pdf"], "doi": []}, {"id": "b18858ad6ec88d8b443dffd3e944e653178bc28b", "title": "2017 Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b188/58ad6ec88d8b443dffd3e944e653178bc28b.pdf"], "doi": []}, {"id": "9fc17fa5708584fa848164461f82a69e97f6ed69", "title": "Additive Margin Softmax for Face Verification", "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 Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331118"]}, {"id": "115a14afac7d9ecede7ad071f55eb07b2c2fa6ad", "title": "Presentation of Several Secure Access Systems and Implementations", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8724986"]}, {"id": "35ddd4896d9396d5dcff3f32bd79ff7cf3e82777", "title": "ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}, {"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": "2019", "pdf": ["https://arxiv.org/pdf/1905.10620.pdf"], "doi": []}, {"id": "9b07084c074ba3710fee59ed749c001ae70aa408", "title": "Computational Models of Face Perception.", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9b07/084c074ba3710fee59ed749c001ae70aa408.pdf"], "doi": []}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944942", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.38", "http://doi.org/10.1109/BigDataService.2017.38"]}, {"id": "e33ebb37c2692c3839956bda2ad801464c8d2d42", "title": "Low-resolution Visual Recognition via Deep Feature Distillation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8682926"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "6a133eb625cee083db848cc2f51a5cb54e28f67e", "title": "Noise-Tolerant Paradigm for Training Face Recognition CNNs", "addresses": [{"name": "Beijing University of Chemical Technology", "source_name": "Beijing University of Chemical Technology, Beijing, China", "street_adddress": "Chaoyang, China, 100096", "lat": "39.97095400", "lng": "116.42105300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10357.pdf"], "doi": []}, {"id": "c4696d47e0d43a6761742e15c262a224466c4b85", "title": "Correlation Congruence for Knowledge Distillation", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.01802.pdf"], "doi": []}, {"id": "a55dea7981ea0f90d1110005b5f5ca68a3175910", "title": "Are 1, 000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4db9/e5f19366fe5d6a98ca43c1d113dac823a14d.pdf"], "doi": []}, {"id": "bfd00e8dba4432d13cb26410fbeec00b071946f8", "title": "Face attribute prediction using off-the-shelf CNN features", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7550092"]}, {"id": "5a803d9334246cfb7762eb210c19459febdf4b22", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "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/1710.00870.pdf"], "doi": []}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "cf517aad72c17328486d759f22755e43a9cd1b76", "title": "Deep multi-factor forensic face recognition", "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": "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": ["https://pdfs.semanticscholar.org/cf51/7aad72c17328486d759f22755e43a9cd1b76.pdf"], "doi": []}, {"id": "0fbdaad9fe987dfecb187597675276073bc679c0", "title": "Bag of Negatives for Siamese Architectures", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.02391.pdf"], "doi": []}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "aaa2b45153051e23d5a35ccf9af8ecabc0fe24cd", "title": "1 How Good can Human Predict Facial Age ?", "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": "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://pdfs.semanticscholar.org/aaa2/b45153051e23d5a35ccf9af8ecabc0fe24cd.pdf"], "doi": []}, {"id": "73a6da41ae63e5e32327909eef6f78a05624425b", "title": "Beyond PCA: Deep Learning Approaches for Face Modeling and Aging", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/73a6/da41ae63e5e32327909eef6f78a05624425b.pdf"], "doi": []}, {"id": "ee58f4651fce3ff804fee472229259e0902f1b40", "title": "Eigenvector-Based Distance Metric Learning for Image Classification and Retrieval", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3340262"]}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Dailian University of Technology", "source_name": "Dailian University of Technology, Dalian, China", "street_adddress": "China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, \u51cc\u5de5\u8def2\u53f7 \u90ae\u653f\u7f16\u7801: 116023", "lat": "38.88038100", "lng": "121.52902100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "e3dacba4399fc66f31779060db730ea423f341d8", "title": "AdvHat: Real-world adversarial attack on ArcFace Face ID system", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.08705.pdf"], "doi": []}, {"id": "d4f100ca5edfe53b562f1d170b2c48939bab0e27", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "3c300649fd125ebd56e489086aabba7ac9f100f0", "title": "Unsupervised incremental learning of deep descriptors from video streams", "addresses": [{"name": "MICC - University of Florence", "source_name": "MICC - University of Florence, Italy", "street_adddress": "Viale Giovanni Battista Morgagni, 65, 50134 Firenze FI, Italy", "lat": "43.80243520", "lng": "11.24479160", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026276"]}, {"id": "73c07e0a998576bb9d9409e5eed713788c0be037", "title": "Large-Scale Long-Tailed Recognition in an Open World", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.05160.pdf"], "doi": []}, {"id": "13b2bc8101a2a7a0c95412c48f40ef95e798e9fb", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Emory University", "source_name": "Emory University, Atlanta, USA", "street_adddress": "201 Dowman Dr, Atlanta, GA 30322, USA", "lat": "33.79251950", "lng": "-84.32399890", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "09997e8f71dafb78680b8c5002e80f7f1d71b896", "title": "Leveraging Biometrics for Insider Misuse Identification", "addresses": [{"name": "Plymouth University", "source_name": "Plymouth University", "street_adddress": "Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37552690", "lng": "-4.13937687", "type": "edu", "country": "United Kingdom"}, {"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0999/7e8f71dafb78680b8c5002e80f7f1d71b896.pdf"], "doi": []}, {"id": "946309ee4a45dfff6dc3a52ae1268682db788904", "title": "Second Opinion : Supporting Last-Mile Person Identification with Crowdsourcing and Face Recognition", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/9463/09ee4a45dfff6dc3a52ae1268682db788904.pdf"], "doi": []}, {"id": "0598704b50ca85672f721e20a559df6d1a363787", "title": "Deep Learning for Face Recognition: Pride or Prejudiced?", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01219.pdf"], "doi": []}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "a52a69bf304d49fba6eac6a73c5169834c77042d", "title": "Margin Loss: Making Faces More Separable", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245803", "http://doi.org/10.1109/LSP.2017.2789251"]}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "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": "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": "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": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "698e010265693da378aa3baf90d2b195ebbcc2a3", "title": "Robust statistical deformable models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/698e/010265693da378aa3baf90d2b195ebbcc2a3.pdf"], "doi": []}, {"id": "7f246e2877d764842b588ca491677949233ee75b", "title": "Face Detection and Verification Using Lensless Cameras", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8590781"]}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025149"]}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272698", "http://doi.org/10.1109/BTAS.2017.8272698"]}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984059"]}, {"id": "76e333e5941a91da1fc4c5ddf9a06d02fea01496", "title": "FaceGenderID : Exploiting Gender Information in DCNNs Face Recognition Systems", "addresses": [{"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}, {"name": "University of Beira Interior, Portugal", "source_name": "IT - Instituto de Telecomunica\u00e7\u00f5es, University of Beira Interior, Portugal", "street_adddress": "IT - Instituto de Telecomunica\u00e7\u00f5es, 3810-193 Aveiro, Portugal", "lat": "40.63413220", "lng": "-8.65997260", "type": "edu", "country": "Portugal"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/76e3/33e5941a91da1fc4c5ddf9a06d02fea01496.pdf"], "doi": []}, {"id": "5234caf3bcc1edb0b38554b4ffddf5a46877dd45", "title": "Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.06290.pdf"], "doi": []}, {"id": "5e24dcafd1219cd77717e625895bf4abc4af7c09", "title": "Multi-View Face Recognition and Verification Based on Convolutional Neural Network", "addresses": [{"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633146"]}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "1bc59a186886e14f3b025dc3469d40d38d6c4803", "title": "Grand Challenge of 106-Point Facial Landmark Localization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8794971"]}, {"id": "228ea13041910c41b50d0052bdce924037c3bc6a", "title": "A Review Paper Between Open Source and Commercial SDK and Performance Comparisons of Face Matchers", "addresses": [{"name": "National Science and Technology Development Agency, Thailand", "source_name": "National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand", "street_adddress": "Pathum Thani 12120, Thailand", "lat": "14.09502500", "lng": "100.66471010", "type": "gov", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434495"]}, {"id": "2a09be75ebe85f64a198d20766872c66cb2f00d6", "title": "Person Recognition at a Distance: Improving Face Recognition Through Body Static Information", "addresses": [{"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545112", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545112", "http://doi.org/10.1109/ICPR.2018.8545112"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "732c32d7a71190407edc6475dd7aabd3c9a3c2fd", "title": "Face Match for Family Reunification: Real-World Face Image Retrieval", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c88c/e5ef33d5e544224ab50162d9883ff6429aa3.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "a879793dd57cbebb9f3be1018b8e7eb904ce546c", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "title": "To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04823.pdf"], "doi": []}, {"id": "75249ebb85b74e8932496272f38af274fbcfd696", "title": "Face Identification in Large Galleries", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7524/9ebb85b74e8932496272f38af274fbcfd696.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8063888", "http://doi.org/10.1109/JIOT.2017.2761801", "https://doi.org/10.1109/JIOT.2017.2761801"]}, {"id": "6d0546bf573bd398bbccf612a6accfb681f16bc6", "title": "Robust face recognition", "addresses": [{"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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8db8/d03a1428d463a9149796d1b954ac75955ad6.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "83e06eeccfda20ef3025ab5fb311c0fadeca32d8", "title": "Beyond the feedforward sweep : feedback computations in the visual cortex", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/83e0/6eeccfda20ef3025ab5fb311c0fadeca32d8.pdf"], "doi": []}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"], "doi": []}, {"id": "13bc74da897ee40dbf8662f0b11eb5a276006b30", "title": "Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet loss", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07923.pdf"], "doi": []}, {"id": "155c56f504768b7446896dc6bb1845b79c8c5322", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "addresses": [{"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "e7da564afdf8162489cbace970f26b239913d1f1", "title": "R 3 Adversarial Network for Cross Model Face Recognition", "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": "", "pdf": ["https://pdfs.semanticscholar.org/e7da/564afdf8162489cbace970f26b239913d1f1.pdf"], "doi": []}, {"id": "08f7ac64b420210aa46fcbbdb0f206215f2e0644", "title": "Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08f7/ac64b420210aa46fcbbdb0f206215f2e0644.pdf"], "doi": []}, {"id": "891dfc8c124680a5b03c8dbf84e6136286015861", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "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": "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "db0880947452943a038e8d4c348107ef631d26a9", "title": "Learning from Longitudinal Face Demonstration\u2014Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://arxiv.org/pdf/1711.10520", "https://arxiv.org/pdf/1711.10520.pdf", "https://export.arxiv.org/pdf/1711.10520"], "doi": ["https://doi.org/10.1007/s11263-019-01165-5"]}, {"id": "582edc19f2b1ab2ac6883426f147196c8306685a", "title": "Do We Really Need to Collect Millions of Faces for Effective Face Recognition?", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07057.pdf"], "doi": []}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"name": "University of Pavia", "source_name": "Computer and Biomedical Engineering, University of Pavia, Pavia, Italy", "street_adddress": "Corso Str. Nuova, 65, 27100 Pavia PV, Italy", "lat": "45.18671560", "lng": "9.15610410", "type": "edu", "country": "Italy"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119", "http://doi.org/10.1109/TIP.2018.2861359", "https://doi.org/10.1109/TIP.2018.2861359", "https://www.ncbi.nlm.nih.gov/pubmed/30059306"]}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"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": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"], "doi": []}, {"id": "91e17338a12b5e570907e816bff296b13177971e", "title": "Towards open-set face recognition using hashing functions", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_IJCB.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272751", "http://doi.org/10.1109/BTAS.2017.8272751"]}, {"id": "8181bf57f235ac8ee02c27cc28781174a19c342b", "title": "The unconstrained ear recognition challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}, {"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"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272761"]}, {"id": "a73bc5398c1ecf9ab8c755ad6af4d7e4774ca7ec", "title": "Gender shades : intersectional phenotypic and demographic evaluation of face datasets and gender classifiers", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a73b/c5398c1ecf9ab8c755ad6af4d7e4774ca7ec.pdf"], "doi": []}, {"id": "b378b6aee5845c58182cec730f356ec2bf4e60e1", "title": "Contributions in face detection with deep neural networks", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b378/b6aee5845c58182cec730f356ec2bf4e60e1.pdf"], "doi": []}, {"id": "1aac36122c07ecccfd59d912c22865801f096190", "title": "Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}, {"name": "University of Copenhagen", "source_name": "University of Copenhagen", "street_adddress": "K\u00f8benhavns Universitet, Krystalgade, K\u00f8dbyen, Vesterbro, K\u00f8benhavn, K\u00f8benhavns Kommune, Region Hovedstaden, 1165, Danmark", "lat": "55.68015020", "lng": "12.57232700", "type": "edu", "country": "Denmark"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03827.pdf"], "doi": []}, {"id": "58d0c140597aa658345230615fb34e2c750d164c", "title": "Continuous Biometric Verification for Non-Repudiation of Remote Services", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3098969"]}, {"id": "4cdb6144d56098b819076a8572a664a2c2d27f72", "title": "Face Synthesis for Eyeglass-Robust Face Recognition", "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/1806.01196.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "ac5d96111cf57a2062f627cbcefcd5303ba929d2", "title": "RegularFace: Deep Face Recognition via Exclusive Regularization", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/ac5d/96111cf57a2062f627cbcefcd5303ba929d2.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "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": "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": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "title": "Pose-Selective Max Pooling for Measuring Similarity", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07042.pdf"], "doi": []}, {"id": "270e5266a1f6e76954dedbc2caf6ff61a5fbf8d0", "title": "EmotioNet Challenge: Recognition of facial expressions of emotion in the wild", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01210.pdf"], "doi": []}, {"id": "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265510"]}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "addresses": [{"name": "Computer Vision Group (www.vision4uav.com), Centro de Autom\u00e1tica y Rob\u00f3tica (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006, Spain", "source_name": "Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain", "street_adddress": "Madrid, Spain", "lat": "40.41677540", "lng": "-3.70379020", "type": "edu", "country": "Spain"}, {"name": "Indian Institute of Information Technology, Sri City, India", "source_name": "Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "a581dab3ab41adfd843ac51af30d47022a5f855a", "title": "Training Deep Face Recognition Systems with Synthetic Data", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05891.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "53ea629b5933430eafa98692edf39ab2bd737d09", "title": "Probabilistic Face Embeddings", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.09658.pdf"], "doi": []}, {"id": "9d60bc023f5a1a36ed0b509c0f445fcad02d0abf", "title": "FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}, {"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.11179.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "f4a44b94d4b184e4638cb1019526170590f99ac4", "title": "AM-LFS: AutoML for Loss Function Search", "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"}, {"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": "2019", "pdf": ["https://arxiv.org/pdf/1905.07375.pdf"], "doi": []}, {"id": "659c15db147539006b08f238bf3ef5be0a9634f3", "title": "LEARNING QUALITY, AESTHETICS, AND FACIAL ATTRIBUTES FOR IMAGE ANNOTATION", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/659c/15db147539006b08f238bf3ef5be0a9634f3.pdf"], "doi": []}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"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"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "6bb2326c8981a07498555df64416d764f03a30c0", "title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07261.pdf"], "doi": []}, {"id": "e9bf13544548a4073613967689b6b1b8f2d9f699", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification 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"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477558", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558", "http://doi.org/10.1109/WACV.2016.7477558"]}, {"id": "89c7a842499c9ab4362cfdba61fe4f2ae3706fcf", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "4ad8178e285901c886e3e2e66f2340115347b23f", "title": "A Comprehensive Study on Center Loss for Deep Face Recognition", "addresses": [{"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": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01142-4"]}, {"id": "6a32c75f12f804bf0d6062240d472fa3dc998e1a", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "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": "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": "Singapore / National University of Singapore", "source_name": "A*STAR, Singapore / National University of Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "b61e8a314073c3550455e93a55c98e19afc30ee1", "title": "Loss Decomposition for Fast Learning in Large Output Spaces", "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", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b61e/8a314073c3550455e93a55c98e19afc30ee1.pdf"], "doi": []}, {"id": "00ecf52b6c6c76c4c74d3c0dfe42ad6064ac79cb", "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", "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": "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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00292.pdf"], "doi": []}, {"id": "8112ff3be88f31b100004b7ce19d68fc306f05e7", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "addresses": [{"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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "dbf1b8febb5047a04029139ee1a9e71cbd7e3cdd", "title": "Compressing Gradient Optimizers via Count-Sketches", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00179.pdf"], "doi": []}, {"id": "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "title": "Fast Face Image Synthesis with Minimal Training.", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "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": "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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 Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "57246142814d7010d3592e3a39a1ed819dd01f3b", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5724/6142814d7010d3592e3a39a1ed819dd01f3b.pdf"], "doi": []}, {"id": "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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 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": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "addresses": [{"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "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": "Robotics Institute at Carnegie Mellon University", "source_name": "Robotics Institute at Carnegie Mellon University, USA", "street_adddress": "Pittsburgh, PA 15213, USA", "lat": "40.44327410", "lng": "-79.94569950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "7b0ed3d67375a4542133c992f4e55fd4ade0cd90", "title": "Knowledge Distillation via Route Constrained Optimization", "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"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "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": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.09149.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "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/1710.00870.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/citations/voc.json b/site/datasets/citations/voc.json
index e87b795c..44c8f9ca 100644
--- a/site/datasets/citations/voc.json
+++ b/site/datasets/citations/voc.json
@@ -1 +1 @@
-{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "paper": {"key": "voc", "name": "VOC", "title": "The Pascal Visual Object Classes (VOC) Challenge", "year": "2009", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}]}, "citations": [{"id": "f9d171019bfeb71733fe36f7fae14f342ca9e51c", "title": "Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f9d1/71019bfeb71733fe36f7fae14f342ca9e51c.pdf"], "doi": []}, {"id": "912760092c200d1151900ff0e34acb113de43c3c", "title": "DNN-Train : Benchmarking and Analyzing DNN Training", "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://pdfs.semanticscholar.org/9127/60092c200d1151900ff0e34acb113de43c3c.pdf"], "doi": []}, {"id": "38b4ac4a0802fdb63dea6769dd1aee075cc3f87d", "title": "Boundary-sensitive Network for Portrait Segmentation", "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"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08675.pdf"], "doi": []}, {"id": "25d7da85858a4d89b7de84fd94f0c0a51a9fc67a", "title": "Selective Search for Object Recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": ["http://graphics.cs.cmu.edu/courses/16-824/2016_spring/slides/seg_3.pdf", "http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf", "https://pure.uva.nl/ws/files/19494140/UijlingsIJCV2013.pdf", "https://staff.fnwi.uva.nl/th.gevers/pub/GeversIJCV2013.pdf", "https://webcourse.cs.technion.ac.il/236815/Spring2016/ho/WCFiles/01_object_proposals_6pp.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0620-5"]}, {"id": "1b3be14d267b3302fd0a0ac0be630cdf2a8ba00b", "title": "Color Image Reconstruction with Perceptual Compressive Sensing", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546222", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546222", "http://doi.org/10.1109/ICPR.2018.8546222"]}, {"id": "87e4f376ed8515f04c75bc06f6b4cc7d2b1ecb69", "title": "Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Tarbiat Modares University", "source_name": "Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran", "street_adddress": "Tehran Province, Tehran, Jalal Al Ahmad St, Iran", "lat": "35.72140940", "lng": "51.38155860", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10243.pdf"], "doi": []}, {"id": "06fc643a48464fd8280d11c1189f49afacbd43a4", "title": "Semantic mapping using object-class segmentation of RGB-D images", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany", "source_name": "Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany", "street_adddress": "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "lat": "50.74890520", "lng": "7.20233730", "type": "company", "country": "Germany"}], "year": "2012", "pdf": ["http://ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/theses/Nenad_Biresev_Master_Thesis_03_2012.pdf", "http://www.researchgate.net/profile/Sven_Behnke/publication/230556906_Semantic_Mapping_Using_Object-Class_Segmentation_of_RGB-D_Images/links/0912f5016a98439287000000.pdf", "https://pdfs.semanticscholar.org/06fc/643a48464fd8280d11c1189f49afacbd43a4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385983", "http://doi.org/10.1109/IROS.2012.6385983"]}, {"id": "7f5793c967d53d0a3e88e8bba895336b92d5da90", "title": "Dense interest features for video processing", "addresses": [{"name": "KU Leuven ESAT-PSI, iMinds", "source_name": "KU Leuven ESAT-PSI, iMinds", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026167", "http://doi.org/10.1109/ICIP.2014.7026167"]}, {"id": "fbb4f4959756798aabba8034cb3167756b191811", "title": "Supervised Infinite Feature Selection", "addresses": [{"name": "University of Guilan", "source_name": "University of Guilan, Rasht, Guilan, Iran", "street_adddress": "Rasht, Gilan Province, Iran", "lat": "37.19361670", "lng": "49.64096930", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02665.pdf"], "doi": []}, {"id": "f35953687697b3455fe89b1f07504daaa6ebf4c8", "title": "Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks", "addresses": [{"name": "Naval University of Engineering", "source_name": "Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China", "street_adddress": "717 Jiefang Ave, Qiaokou Qu, Wuhan Shi, Hubei Sheng, China, 430072", "lat": "30.57562020", "lng": "114.24262180", "type": "mil", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7946140", "http://doi.org/10.1109/LGRS.2017.2673118"]}, {"id": "193a69489230de1013dff9af1232e5379cc5282f", "title": "Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia", "source_name": "Integrated Management Coastal Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/193a/69489230de1013dff9af1232e5379cc5282f.pdf"], "doi": []}, {"id": "744108530678ee667b9c1220933bed074794d9e2", "title": "A Scene Recognition and Semantic Analysis Approach to Unhealthy Sitting Posture Detection during Screen-Reading", "addresses": [{"name": "Nanchang University", "source_name": "Nanchang University, Nanchang, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.68352900", "lng": "115.93734700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7441/08530678ee667b9c1220933bed074794d9e2.pdf"], "doi": []}, {"id": "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "title": "2 D-Driven 3 D Object Detection in RGB-D Images", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/225c/318f3143b9b9d6c0f7a87672bd1d9d2901f4.pdf"], "doi": []}, {"id": "693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab", "title": "A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition", "addresses": [{"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": "Chinese Academy of Sciences, Shenzhen, China", "source_name": "Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "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"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/536b/d55a69a5f536fc4450ac4f482d47333b0270.pdf"], "doi": []}, {"id": "e726dd07b6b4e5369f3b6031b36f01cd45cfd645", "title": "Online Spatio-temporal Structural Context Learning for Visual Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3ef1/4559db209f8c399b76a51f1cef294c8136dc.pdf"], "doi": []}, {"id": "0bca0ca7bb642b747797c17a4899206116fb0b25", "title": "Color attributes for object detection", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248068"]}, {"id": "9906a396a67a1b19e98ae8d5d65ca604dfcbf727", "title": "Robust visual tracking based on L1 expanded template", "addresses": [{"name": "Bournemouth University", "source_name": "Bournemouth University", "street_adddress": "Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK", "lat": "50.74223495", "lng": "-1.89433739", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8108954", "http://doi.org/10.1109/ICMLC.2017.8108954"]}, {"id": "1622f0de2d24225ef6ea21003fa94d4a5836aac8", "title": "Deep Bottleneck Feature for Image Classification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749314"]}, {"id": "2e9c4c12a2e18bd0cffbf5180e4475b773517250", "title": "A novel fuzzy feature encoding approach for image classification", "addresses": [{"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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7737815", "http://doi.org/10.1109/FUZZ-IEEE.2016.7737815"]}, {"id": "334a8aa8664637a74217aede4c368058640a8203", "title": "Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358901", "http://doi.org/10.1109/URAI.2015.7358901"]}, {"id": "e7895feb2de9007ea1e47b0ea5952afd5af08b3d", "title": "ME R-CNN: Multi-Expert R-CNN for Object Detection", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01069.pdf"], "doi": []}, {"id": "dc5e9f75235dcb4ec39259f82574cd6ffd3611de", "title": "Analysis of Multi-planar Probability Maps for People Localization in Overlapping Camera Systems", "addresses": [{"name": "UPMC, France", "source_name": "Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France", "street_adddress": "4 Place Jussieu, 75005 Paris, France", "lat": "48.84710360", "lng": "2.35749900", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659031"]}, {"id": "f4901354f843b058bef649d14a9fc67c51943da8", "title": "Poster : Image Suitability for Graphical Passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f490/1354f843b058bef649d14a9fc67c51943da8.pdf"], "doi": []}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "68eb33c49b7cf7d5df056cf0113bd21bb2659151", "title": "What could move? Finding cars, pedestrians and bicyclists in 3D laser data", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://www.robots.ox.ac.uk/~mobile/Papers/2012ICRA_wang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224734", "http://doi.org/10.1109/ICRA.2012.6224734"]}, {"id": "c2a2093b4163616b83398e503ae9ed948f4f6a2b", "title": "A Dual-CNN Model for Multi-label Classification by Leveraging Co-occurrence Dependencies Between Labels", "addresses": [{"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mima.sdu.edu.cn/(X(1)S(ar3myg55nqom1l55ttix5kjj))/Images/publication/Dual-CNN-ML.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-77380-3_30"]}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "cd342fc28d8dcad80e090d2fdfd727a656201c6e", "title": "Algorithm Selection Platform in Real-World Intelligent Systems", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d  \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cd34/2fc28d8dcad80e090d2fdfd727a656201c6e.pdf"], "doi": []}, {"id": "bea1958ecdcc5279672bed0f2ba8de5a84b0ce64", "title": "Towards reasoning based representations: Deep Consistence Seeking Machine", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1389041717300256?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cogsys.2017.08.004"]}, {"id": "23453a37beea310b53419be45fe266bcf243ab49", "title": "Camera based target recognition for maritime awareness", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}, {"name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "source_name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "street_adddress": "Piazza Monte Grappa, 4, 00195 Roma RM, Italy", "lat": "41.91852800", "lng": "12.46855900", "type": "company", "country": "Italy"}], "year": "2012", "pdf": ["http://fusion.isif.org/proceedings/fusion12CD/html/pdf/270_425.pdf", "http://www.dis.uniroma1.it/~bloisi/papers/bloisi-maritime-recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6290543", "http://ieeexplore.ieee.org/document/6290543/"]}, {"id": "28094e414200918e3b3fd0f7e5e3e9d29b092be4", "title": "Optimizing Image Acquisition Systems for Autonomous Driving", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2809/4e414200918e3b3fd0f7e5e3e9d29b092be4.pdf"], "doi": []}, {"id": "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "title": "Training Deep Networks with Structured Layers by Matrix Backpropagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.07838.pdf"], "doi": []}, {"id": "18fe63c013983bea53be7d559ef36a1f385ca6ea", "title": "DR AF T Supervision Beyond Human Annotations for Learning Visual Representations", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/18fe/63c013983bea53be7d559ef36a1f385ca6ea.pdf"], "doi": []}, {"id": "5638516780883fa91827ed095fe2ace103a2f941", "title": "Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025474", "http://doi.org/10.1109/ICIP.2014.7025474"]}, {"id": "5075c16908a72d506aa19e10e12e79ed9383db48", "title": "Lecture 16 : Recognizing Objects by Parts", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5075/c16908a72d506aa19e10e12e79ed9383db48.pdf"], "doi": []}, {"id": "c4ecc025ef8b0e3bb873bca4b504a76bd7d9dc8b", "title": "Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/c4ec/c025ef8b0e3bb873bca4b504a76bd7d9dc8b.pdf"], "doi": []}, {"id": "73883181800edffac983fb110233dd5a50a10c11", "title": "Region-based fully convolutional networks for vertical corner line detection", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266465", "http://doi.org/10.1109/ISPACS.2017.8266465"]}, {"id": "06443cc014711e2e9cb6b8625362b022826d233e", "title": "Accident Forecasting in CCTV Traffic Camera Videos", "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": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05782.pdf"], "doi": []}, {"id": "d0b083befa0034bcd4a1349336fb30158157e6d8", "title": "A Semantic Distance Based Nearest Neighbor Method for Image Annotation", "addresses": [{"name": "Inner Mongolia University", "source_name": "College of Computer Science, Inner Mongolia University, Hohhot, China", "street_adddress": "Saihan, Hohhot, Inner Mongolia, China, 010000", "lat": "40.81426100", "lng": "111.68929800", "type": "edu", "country": "China"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d0b0/83befa0034bcd4a1349336fb30158157e6d8.pdf"], "doi": []}, {"id": "dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb", "title": "Improving Accuracy of the Edgebox Approach", "addresses": [{"name": "Utah State University", "source_name": "Utah State University", "street_adddress": "Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA", "lat": "41.74115040", "lng": "-111.81223090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dbed/fc2f75e3f821cb6a4b82ae85dc4f48ff1cbb.pdf"], "doi": []}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}, {"id": "f4c42c58c6649538c85b85b5357b29793798109b", "title": "Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection", "addresses": [{"name": "Roswell Park Cancer Institute, Buffalo, NY", "source_name": "Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA", "street_adddress": "665 Elm St, Buffalo, NY 14203, USA", "lat": "42.89881950", "lng": "-78.86458720", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7847313", "http://doi.org/10.1109/TMI.2017.2665671", "https://www.ncbi.nlm.nih.gov/pubmed/28186883", "https://www.wikidata.org/entity/Q38967536"]}, {"id": "23834ef411abf22da58d5bd1d9c1cb2896713f62", "title": "Learning Action Primitives for Multi-level Video Event Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2383/4ef411abf22da58d5bd1d9c1cb2896713f62.pdf"], "doi": []}, {"id": "48674565d0737bb422406d757c02042759b635ae", "title": "A benchmark for semantic image segmentation", "addresses": [{"name": "Danang University of Technology", "source_name": "Danang University of Technology, Vietnam", "street_adddress": "54 Nguy\u1ec5n L\u01b0\u01a1ng B\u1eb1ng, Ho\u00e0 Kh\u00e1nh B\u1eafc, Li\u00ean Chi\u1ec3u, \u0110\u00e0 N\u1eb5ng 550000, Vietnam", "lat": "16.07359750", "lng": "108.14994570", "type": "edu", "country": "Vietnam"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": ["http://www.ntu.edu.sg/home/asjfcai/Benchmark_Website/368.pdf", "http://www3.ntu.edu.sg/home/asjfcai/ICME13_Hui_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607512", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607512", "http://doi.org/10.1109/ICME.2013.6607512"]}, {"id": "a1f33473ea3b8e98fee37e32ecbecabc379e07a0", "title": "Image Segmentation by Cascaded Region Agglomeration", "addresses": [{"name": "Toyota Technological Institute, Chicago", "source_name": "Toyota Technological Institute (Chicago, US", "street_adddress": "Toyota Technological Institute, 6045, South Kenwood Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78471120", "lng": "-87.59260567", "type": "edu", "country": "United States"}, {"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": "2013", "pdf": ["http://cs.brown.edu/people/ren/publications/cvpr2013/cascade_final.pdf", "http://ttic.uchicago.edu/~gregory/papers/cascade_cvpr2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Image_Segmentation_by_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619106", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.262", "http://doi.org/10.1109/CVPR.2013.262"]}, {"id": "95785e3ce8cf0360ab328e5eae4cabff5b17308b", "title": "Multi-scale video text detection based on corner and stroke width verification", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706387", "http://doi.org/10.1109/VCIP.2013.6706387"]}, {"id": "128eff1cd06f74a9a7357d291f02dd627c9b22ad", "title": "Close-Range Human Detection for Head-Mounted Cameras", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/128e/ff1cd06f74a9a7357d291f02dd627c9b22ad.pdf"], "doi": []}, {"id": "7acd36ba0b59849d49bfc01cef11d18d2bcad76f", "title": "Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells.", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10804.pdf"], "doi": []}, {"id": "1a20ddce2349bc995dceea66cd2378f8888c8027", "title": "SAN: Learning Relationship Between Convolutional Features for Multi-scale Object Detection", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04974.pdf"], "doi": []}, {"id": "4e65c9f0a64b6a4333b12e2adc3861ad75aca83b", "title": "Image Classification Using Super-Vector Coding of Local Image Descriptors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "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": "2010", "pdf": ["https://pdfs.semanticscholar.org/4e65/c9f0a64b6a4333b12e2adc3861ad75aca83b.pdf"], "doi": []}, {"id": "9a5516d8752202f5d6e542a983dc2e7fe59013e4", "title": "Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data", "addresses": [{"name": "Kookmin University", "source_name": "Kookmin University", "street_adddress": "\uad6d\ubbfc\ub300\ud559\uad50\uc55e, \uc815\ub989\ub85c, \uc815\ub9892\ub3d9, \uc815\ub989\ub3d9, \uc131\ubd81\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02708, \ub300\ud55c\ubbfc\uad6d", "lat": "37.61075540", "lng": "126.99466350", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622161", "http://doi.org/10.1109/BigData.2018.8622161"]}, {"id": "7888a3dc1b9a7516f940f4a3f4316584e4f41b35", "title": "Effects of target typicality on categorical search.", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7888/a3dc1b9a7516f940f4a3f4316584e4f41b35.pdf"], "doi": []}, {"id": "dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f", "title": "Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dfd5/2ff9957c91dfbf3780ffffea2cc8ea6de81f.pdf"], "doi": []}, {"id": "7675774227157bec91218d6798680f58deaf8bb3", "title": "Learning View Priors for Single-view 3D Reconstruction.", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10719.pdf"], "doi": []}, {"id": "2385007824daaf9eac9476fccb1501b7ac166ceb", "title": "Task-driven Visual Saliency and Attention-based Visual Question Answering", "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/1702.06700.pdf"], "doi": []}, {"id": "c3d98891a2879b966bd90e0bb9299c3d2a91be6e", "title": "Webly-supervised visual concept learning with cardinality guided instance mining and clustered multitask refinement", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2017%5CConference%5C2017-ICME-CV-NISAIJIE%5C08019489.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019489", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019489", "http://doi.org/10.1109/ICME.2017.8019489"]}, {"id": "9f4078773c8ea3f37951bf617dbce1d4b3795839", "title": "Leveraging Inexpensive Supervision Signals for Visual Learning", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/9f40/78773c8ea3f37951bf617dbce1d4b3795839.pdf"], "doi": []}, {"id": "280895aa15bc8308f919d4cad666e826e82608f4", "title": "Curious George: An Integrated Visual Search Platform", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://www.cs.ubc.ca/labs/lci/curious_george/pubs/meger_srvc_crv_2010.pdf", "http://www.cs.ubc.ca/~little/links/linked-papers/megerCRV2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5479479", "http://doi.ieeecomputersociety.org/10.1109/CRV.2010.21", "http://doi.org/10.1109/CRV.2010.21"]}, {"id": "a7edb6726667875e3ebebe17065779be7cbf5623", "title": "Efficient Cross-Domain Image Retrieval by Multi-Level Matching and Spatial Verification for Structural Similarity", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2655032"]}, {"id": "3b4f6956aba3c0a8c444349868b2263d3124aa66", "title": "Seeded Laplacian: An interactive image segmentation approach using eigenfunctions", "addresses": [{"name": "Engineering Mathematics - Computer and Systems Engineering", "source_name": "Engineering Mathematics - Computer and Systems Engineering", "street_adddress": "110 8th St, Troy, NY 12180, USA", "lat": "42.72962060", "lng": "-73.68029310", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ahmed-taha.com/wp-content/uploads/2015/09/icip2015_presentation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350749", "http://doi.org/10.1109/ICIP.2015.7350749"]}, {"id": "0547c44cb896e1cc38130ae8cc6b04dc21179045", "title": "Fast-Match: Fast Affine Template Matching", "addresses": [{"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"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"}, {"name": "Weizmann Institute, Rehovot, Israel", "source_name": "Weizmann Institute, Rehovot, Israel", "street_adddress": "Weizmann Institute, Rehovot, Israel", "lat": "31.90418700", "lng": "34.80737800", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research Labs, Haifa, Israel", "source_name": "Yahoo Research Labs, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/FastMatch_cvpr_2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c331.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Korman_FasT-Match_Fast_Affine_2013_CVPR_paper.pdf", "http://www.eng.tau.ac.il/~simonk/FastMatch/FastMatch_net_construction.pdf", "http://www.eng.tau.ac.il/~simonk/publications/FastMatch_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0926-1", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619146"]}, {"id": "788d2921dedf20464a09c1038a5c2f06d2ff54a7", "title": "Towards the Internet of Services: The THESEUS Research Program", "addresses": [{"name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "source_name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "street_adddress": "Otto-Hahn-Ring 6, 81739 M\u00fcnchen, Germany", "lat": "48.09159280", "lng": "11.64982970", "type": "company", "country": "Germany"}, {"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH,  Saarbr\u00fccken, Germany", "source_name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH,  Saarbr\u00fccken, Germany", "street_adddress": "Campus D3 2, 66123 Saarbr\u00fccken, Germany", "lat": "49.25681100", "lng": "7.04217100", "type": "edu", "country": "Germany"}, {"name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "source_name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "street_adddress": "Europaallee 10, 67657 Kaiserslautern, Germany", "lat": "49.45618650", "lng": "7.80415990", "type": "edu", "country": "Belgium"}, {"name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "source_name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "street_adddress": "Einsteinufer 37, 10587 Berlin, Germany", "lat": "52.51629000", "lng": "13.32500000", "type": "edu", "country": "Germany"}, {"name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "source_name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "street_adddress": "Hasso-Plattner-Ring 7, 69190 Walldorf, Germany", "lat": "49.29446970", "lng": "8.63673580", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-06755-1"]}, {"id": "625c8f0309d4664a4594cb8a6d9116c22848f8c9", "title": "Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7091017", "http://doi.org/10.1109/TMM.2015.2425143"]}, {"id": "a04e5495fa71a459459ad92f7a4a447ffe4c373a", "title": "Learning to Segment Object Candidates via Recursive Neural Networks", "addresses": [{"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://export.arxiv.org/pdf/1612.01057"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418394", "http://doi.org/10.1109/TIP.2018.2859025", "https://www.ncbi.nlm.nih.gov/pubmed/30040644"]}, {"id": "393d34faf86df2c9d8246a7d6ba669133fe9207d", "title": "Visual tracking of a moving object via the soft cosine measure", "addresses": [{"name": "Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez", "source_name": "LIIAN Laboratory, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco", "street_adddress": "Fes 30050, Morocco", "lat": "34.03343710", "lng": "-4.97686630", "type": "edu", "country": "Morocco"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075521", "http://doi.org/10.1109/ATSIP.2017.8075521"]}, {"id": "a6b553a00e60cd1d33f91dc726fa0216728c20e9", "title": "Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384735", "http://doi.org/10.1109/TPAMI.2016.2519021", "https://www.ncbi.nlm.nih.gov/pubmed/26800528", "https://www.wikidata.org/entity/Q50538843"]}, {"id": "b3d8705d46a1d63b40a76bbcf8822b2e90b3b9ad", "title": "Efficient Labelling of Pedestrian Supervisions", "addresses": [{"name": "UCSI University", "source_name": "Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia", "street_adddress": "Persiaran Alam Damai, Alam Damai, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia", "lat": "3.07740920", "lng": "101.73212300", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b3d8/705d46a1d63b40a76bbcf8822b2e90b3b9ad.pdf"], "doi": []}, {"id": "59b21f61ac46e1f982cbd9f49cb855ba5fcd3c45", "title": "CCNY at TRECVID 2014 : Surveillance Event Detection", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8028/6720d33e63f470f43db4723a58bdc6d8b450.pdf"], "doi": []}, {"id": "d13c01d8218ddc744dffb040a8dce055ebd3000f", "title": "ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)", "addresses": [{"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": "Rochester University", "source_name": "Computer Science Depart., Rochester University, USA", "street_adddress": "Computer Studies Building, Intercampus Dr #734, Rochester, NY 14620, USA", "lat": "43.12504330", "lng": "-77.62978540", "type": "edu", "country": "United States"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "EIS, Huazhong Univ. Sci. and Tech., China", "source_name": "EIS, Huazhong Univ. Sci. and Tech., China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"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"}, {"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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546163", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546163", "http://doi.org/10.1109/ICPR.2018.8546163"]}, {"id": "64b9675e924974fdec78a7272b27c7e7ec63a608", "title": "Depth-aware object instance segmentation", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"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": ["http://www.cs.umanitoba.ca/~ywang/papers/icip17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296296", "http://doi.org/10.1109/ICIP.2017.8296296"]}, {"id": "8680cec120c3717c2178aafdf45186fd04d49875", "title": "Automatic graphic logo detection via Fast Region-based Convolutional Networks", "addresses": [{"name": "University of Coimbra", "source_name": "University of Coimbra", "street_adddress": "Reitoria da Universidade de Coimbra, Rua de Entre-Col\u00e9gios, Almedina, Alta, Almedina, S\u00e9 Nova, Santa Cruz, Almedina e S\u00e3o Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal", "lat": "40.20759510", "lng": "-8.42566148", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06083.pdf"], "doi": []}, {"id": "4980511ea7ac286b7fff0456216425287bc9a083", "title": "Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph", "addresses": [{"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4980/511ea7ac286b7fff0456216425287bc9a083.pdf"], "doi": []}, {"id": "ab5eb89bd154b43d1704657eb56d7ba5fc0d0138", "title": "Investigations of an \" Objectness \" Measure for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ab5e/b89bd154b43d1704657eb56d7ba5fc0d0138.pdf"], "doi": []}, {"id": "a609d96399ea52d4d1026b416f181581af0e6fbc", "title": "A random-forest random field approach for cellular image segmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868103", "http://doi.org/10.1109/ISBI.2014.6868103"]}, {"id": "d6d7dcdcf66fe83e49d175cd9d8ac0b507d0e9d8", "title": "Recovering Occlusion Boundaries from an Image", "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", "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": "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": "2010", "pdf": ["http://dhoiem.cs.illinois.edu/publications/ijcv2010_occlusion.pdf"], "doi": ["https://doi.org/10.1007/s11263-010-0400-4"]}, {"id": "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "title": "Weakly supervised human body detection under arbitrary poses", "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": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/conference/2016/CYWICIP-2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532427", "http://doi.org/10.1109/ICIP.2016.7532427"]}, {"id": "295bc82821cfde872a8c1baeec8594f3bdb94ae4", "title": "Structured Weak Semantic Space Construction for Visual Categorization", "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"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8008774", "http://doi.org/10.1109/TNNLS.2017.2728060", "https://www.ncbi.nlm.nih.gov/pubmed/28809716", "https://www.wikidata.org/entity/Q38372181"]}, {"id": "131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8", "title": "Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677517", "http://doi.org/10.1109/TMM.2013.2293424", "http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2955&context=sis_research"]}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"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": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "f832fdf1fac092b4140bf81d38e6bc6af5c1ea65", "title": "Instance-Level Human Parsing via Part Grouping Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00157.pdf"], "doi": []}, {"id": "83b2dc1b81e5dd420bc030a8d67b5ed36b5b0c5e", "title": "Supervised hierarchical Pitman-Yor process for natural scene segmentation", "addresses": [{"name": "ICSI, UC Berkeley", "source_name": "ICSI, UC Berkeley", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/shyr_etal_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995647", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995647", "http://doi.org/10.1109/CVPR.2011.5995647"]}, {"id": "3027c9d0659a89c3bbad1c7e31c474e8dd4f934d", "title": "Automatic Extraction of Built-Up Areas From Panchromatic and Multispectral Remote Sensing Images Using Double-Stream Deep Convolutional Neural Networks", "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": "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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477097", "http://doi.org/10.1109/JSTARS.2018.2871046"]}, {"id": "4699af09d3d52f9a97d13f5690bcbf580959d3cf", "title": "YOLOv 3 : An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4699/af09d3d52f9a97d13f5690bcbf580959d3cf.pdf"], "doi": []}, {"id": "10f13579084670291019c6e8ef55f5cd35c926b6", "title": "Closed-Form Approximate CRF Training for Scalable Image Segmentation", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7088/0e0ba2478c7250918ee9b7accc6993d13ba4.pdf"], "doi": []}, {"id": "c14c2c3b9bbb3b232f601042fe9fde5fa450e595", "title": "Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01031.pdf"], "doi": []}, {"id": "19a3e5495b420c1f5da283bf39708a6e833a6cc5", "title": "Attributes and categories for generic instance search from one example", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tao_Attributes_and_Categories_2015_CVPR_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2015/TaoCVPR2015/TaoCVPR2015.pdf", "https://pure.uva.nl/ws/files/2571573/167606_TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298613", "http://doi.org/10.1109/CVPR.2015.7298613"]}, {"id": "b61ae8216a7c3a5a3202478cd6f18bf3014e2342", "title": "Robust Pedestrian Detection by Combining Visible and Thermal Infrared Cameras", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1f50/d437901304a20f17713bc4a1935f842c57fa.pdf"], "doi": []}, {"id": "c17b85fc95591573bc356650522d303f8d76aeb9", "title": "Robust Structural Sparse Tracking", "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 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": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami18_rsst.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267329", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2797082", "http://doi.org/10.1109/TPAMI.2018.2797082", "https://www.ncbi.nlm.nih.gov/pubmed/29994599"]}, {"id": "922cd0026bd6e5cf60f901f080c8bdddeae72c1a", "title": "Deep CNN Ensemble with Data Augmentation for Object Detection", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07224.pdf"], "doi": []}, {"id": "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "title": "Asking for Help with the Right Question by Predicting Human Visual Performance", "addresses": [{"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebbc/4569b767323c5bf6917c0efdce5d172e721d.pdf"], "doi": []}, {"id": "78611941ba25ea5e3d850a940c9e3a293798a08d", "title": "A Semi-Supervised Image Classification Model Based on Improved Ensemble Projection Algorithm", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8125090", "http://doi.org/10.1109/ACCESS.2017.2778881"]}, {"id": "579f0108283f119227de6a485069cda3c7945fa3", "title": "Deep neural networks can be improved using human-derived contextual expectations", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/579f/0108283f119227de6a485069cda3c7945fa3.pdf"], "doi": []}, {"id": "0e2af97f07625cb3cf5e30f1c9d807124cbbc850", "title": "From Large Scale Image Categorization to Entry-Level Categories", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://acberg.com/papers/naming_iccv2013.pdf", "http://cse.umich.edu/cse/awards/pdfs/naming_iccv2013.pdf", "http://web.missouri.edu/~hantx/ECE8001/Presentation_papers/From%20Large%20Scale%20Image%20Categorization%20to%20Entry-Level%20Categories.pdf", "http://www.cs.unc.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cs.virginia.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Ordonez_From_Large_Scale_2013_ICCV_paper.pdf", "http://www.tamaraberg.com/papers/entrylevel.pdf", "https://web.cs.hacettepe.edu.tr/~nazli/courses/bil722/slides/week8_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751455", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.344", "http://doi.org/10.1109/ICCV.2013.344"]}, {"id": "09ae02eb0359363134a7a5ca912ea60769b07031", "title": "A Smoother Way to Train Structured Prediction Models", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.03228.pdf"], "doi": []}, {"id": "6c289ce7cd1c8514f71bf7dc25b1b203b98f8129", "title": "Semantic-Aware Image Smoothing", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c28/9ce7cd1c8514f71bf7dc25b1b203b98f8129.pdf"], "doi": []}, {"id": "8587d26cbcff3e86b5acff0467e10c8f2069f4e7", "title": "FigureSeer: Parsing Result-Figures in Research Papers", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8587/d26cbcff3e86b5acff0467e10c8f2069f4e7.pdf"], "doi": []}, {"id": "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "title": "Tabula rasa: Model transfer for object category detection", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://cs.brown.edu/~ls/teaching_CMU_16-824/slides_tz-1.pdf", "http://eprints.pascal-network.org/archive/00008313/01/aytar11.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/elad-paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/aytar11.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126504", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126504", "http://doi.org/10.1109/ICCV.2011.6126504"]}, {"id": "c43c6fd93f1d171487ac2d35d4744199db69f244", "title": "Use of convolutional neural networks to automate the detection of wildlife from remote cameras", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274594"]}, {"id": "848db2f0758c314ddbc0bc4030633501df3a9276", "title": "TextMountain: Accurate Scene Text Detection via Instance Segmentation", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12786.pdf"], "doi": []}, {"id": "2c149eff297ffe7d762fd453571fb7cb1761d7a5", "title": "In Defence of Negative Mining for Annotating Weakly Labelled Data", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2c14/9eff297ffe7d762fd453571fb7cb1761d7a5.pdf"], "doi": []}, {"id": "2b0d2b5a536e2eaa6a1cdab6f1e8d11f602abdab", "title": "Annotating images with suggestions: user study of a tagging system", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://www.fit.vutbr.cz/research/view_pub.php?file=/pub/9990/HRADIS-ACIVS-2012.pdf&id=9990", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-33140-4_14"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_14"]}, {"id": "c8e1d80dc02d6b51eec0cd6be46da16b304c3e0d", "title": "Water region detection supporting ship identification in port surveillance", "addresses": [{"name": "ViNotion B.V., Eindhoven, The Netherlands", "source_name": "ViNotion B.V., Eindhoven, The Netherlands", "street_adddress": "Daalakkersweg 2-58, 5641 JA Eindhoven, Netherlands", "lat": "51.44683540", "lng": "5.52236030", "type": "edu", "country": "Netherlands"}, {"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["http://vca.ele.tue.nl/publications/data/XBao2012b.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_39"]}, {"id": "f72f6a45ee240cc99296a287ff725aaa7e7ebb35", "title": "Pedestrian Detection: An Evaluation of the State of the Art", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "MPI Informatics, Saabrucken", "source_name": "MPI Informatics, Saabrucken", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5975165"]}, {"id": "3b5787604b619c273bf98232b0bd3bce5d4a34ee", "title": "Learning Discriminative Hidden Structural Parts for Visual Tracking", "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": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop12/pdffiles/w12-o4.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-16634-6_20"]}, {"id": "3bb1c6290b208cda17f1142215c952e40761769d", "title": "Fast and accurate object detection in high resolution 4K and 8K video using GPUs", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10551.pdf"], "doi": []}, {"id": "087337fdad69caaab8ebd8ae68a731c5bf2e8b14", "title": "Fully Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4038.pdf"], "doi": []}, {"id": "bcd5412df9e3418ecedba9b95ab1d6ab506b5665", "title": "High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits", "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/1704.02205.pdf"], "doi": []}, {"id": "4aa286914f17cd8cefa0320e41800a99c142a1cd", "title": "Leveraging Context to Support Automated Food Recognition in Restaurants", "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": "2015", "pdf": ["https://arxiv.org/pdf/1510.02078.pdf"], "doi": []}, {"id": "eea9994c71831219aacd537f5f4ab8a91110a7e2", "title": "Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08707.pdf"], "doi": []}, {"id": "20b038c50cc7148dfb364e2de51cde120c907c9f", "title": "Integrated perception with recurrent multi-task neural networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01735.pdf"], "doi": []}, {"id": "bb1625e1955e9453221244b755539929ca86b4a3", "title": "Data Decomposition and Spatial Mixture Modeling for Part Based Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/bb16/25e1955e9453221244b755539929ca86b4a3.pdf"], "doi": []}, {"id": "d11ba0deeefda19ff30c4b532aa1a85fc07389c7", "title": "An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6891238", "http://doi.org/10.1109/TCYB.2014.2350517", "https://www.ncbi.nlm.nih.gov/pubmed/25204006", "https://www.wikidata.org/entity/Q38423944"]}, {"id": "732cfdb92061c660ce55743b07bdad6657c4aa5b", "title": "LifeCLEF: Multimedia life species identification", "addresses": [{"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/732c/fdb92061c660ce55743b07bdad6657c4aa5b.pdf"], "doi": []}, {"id": "205e895e03969c96f3c482b0bd26308b16a12bd0", "title": "Image Captioning with an Intermediate Attributes Layer", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/205e/895e03969c96f3c482b0bd26308b16a12bd0.pdf"], "doi": []}, {"id": "6826ae2e1598be376f5b64f302172bebc57b64cb", "title": "Foreground Object Segmentation with Objectness Measure", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6826/ae2e1598be376f5b64f302172bebc57b64cb.pdf"], "doi": []}, {"id": "dc5fc803b64b49217babab378efe29f35b697d2f", "title": "Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"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"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-017-1752-9"]}, {"id": "be99cefefa264f6070f56f1fe4c07151e360ff3a", "title": "A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/be99/cefefa264f6070f56f1fe4c07151e360ff3a.pdf"], "doi": []}, {"id": "d3edc100c6577abba414f6c0a16e4c3921e68bff", "title": "Visual Turing test for computer vision systems.", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/050d/a5d159fb0dd96143948e1cffeb3dec814673.pdf"], "doi": []}, {"id": "39a0c15fbd6c6b3f9e6ceb51098e60d5dfaa11fe", "title": "Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3744.pdf"], "doi": []}, {"id": "fdfd57d4721174eba288e501c0c120ad076cdca8", "title": "An Analysis of Action Recognition Datasets for Language and Vision Tasks", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07129.pdf"], "doi": []}, {"id": "ee42895807a375adec78c8221ecfcba01b0cb7ce", "title": "Deep TEN: Texture Encoding Network", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02844.pdf"], "doi": []}, {"id": "0f0a5d8a7a087204026a6b67000887dbf5b6a20f", "title": "Generating objects going well with the surroundings", "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/1807.02925.pdf"], "doi": []}, {"id": "0585a2f480e9fed934e415bee8e03e5e13abf035", "title": "A Novel Linelet-Based Representation for Line Segment Detection", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}, {"name": "John Hopkins University", "source_name": "John Hopkins University, Baltimore, MD", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.jhu.edu/~alanlab/Pubs17/cho2017novel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926451", "http://doi.org/10.1109/TPAMI.2017.2703841", "https://www.ncbi.nlm.nih.gov/pubmed/28504933", "https://www.wikidata.org/entity/Q40469583"]}, {"id": "5eee4151201258ca75202057baf00a9774ccef38", "title": "DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments", "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": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593691"]}, {"id": "27f0757c5896f81ef6e13d5284252dcc1174a0ff", "title": "The Impact of Human\u2013Robot Interfaces on the Learning of Visual Objects", "addresses": [{"name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech", "source_name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech, 91762 Palaiseau, France", "street_adddress": "828 Boulevard des Mar\u00e9chaux, 91120 Palaiseau, France", "lat": "48.71073390", "lng": "2.21805010", "type": "edu", "country": "France"}, {"name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech", "source_name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech, 33405 Talence, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6384810"]}, {"id": "0a8dad1cb9004ccf45611fe4d2652a82cd5326df", "title": "Do More Dropouts in Pool5 Feature Maps for Better Object Detection", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.6911.pdf"], "doi": []}, {"id": "b6946370d6c13d562b96e42d494817c7d1969a8f", "title": "Refining Bounding-Box Regression for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b694/6370d6c13d562b96e42d494817c7d1969a8f.pdf"], "doi": []}, {"id": "6f7de9849be93eff1c5f133defd9d70e5ff437ac", "title": "AttentionNet: Aggregating Weak Directions for Accurate Object Detection", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07704.pdf"], "doi": []}, {"id": "6bb19408458dbae075be7f1612b969b565b4767a", "title": "Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Minh_Approximate_Log-Hilbert-Schmidt_Distances_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780930", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.561", "http://doi.org/10.1109/CVPR.2016.561"]}, {"id": "a73c551da8d69f04e2be7c3f5c7125532e194935", "title": "A Research and Strategy of Objection Detection on Remote Sensing Image", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477209", "http://doi.ieeecomputersociety.org/10.1109/SERA.2018.8477209", "http://doi.org/10.1109/SERA.2018.8477209"]}, {"id": "8d2459ada191d496eeee70f1e817d0ba92075160", "title": "The evaluation of different approaches towards using Kinect sensor as a Laser scanner", "addresses": [{"name": "University of Gothenburg", "source_name": "University of Gothenburg, Gothenburg, Sweden", "street_adddress": "405 30 Gothenburg, Sweden", "lat": "57.69817190", "lng": "11.97187800", "type": "edu", "country": "Sweden"}, {"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8d24/59ada191d496eeee70f1e817d0ba92075160.pdf"], "doi": []}, {"id": "09dace372d15fa3381ade36f5cf892b5ce15a982", "title": "Efficient human computation: the distributed labeling problem", "addresses": [{"name": "Intel Israel, Haifa, Israel", "source_name": "Intel Israel, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.78981240", "lng": "34.96096980", "type": "edu", "country": "Israel"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1600174"]}, {"id": "9cbd49a55724da2249ac1810b9e6d31f5d41a4ac", "title": "Viewpoint-aware object detection and continuous pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://www.weizmann.ac.il/math/meirav/sites/math.meirav/files/uploads/viewpoint_aware_object_detection.pdf", "http://www.wisdom.weizmann.ac.il/~vision/viewpoint-aware/files/GGABS12.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2012.09.006"]}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "addresses": [{"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"], "doi": []}, {"id": "44a3ee0429a6d1b79d431b4d396962175c28ace6", "title": "Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers", "addresses": [{"name": "NEC", "source_name": "NEC Laboratories America, Inc., Cupertino, CA, USA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.nec-labs.com/uploads/images/Department-Images/MediaAnalytics/papers/cvpr16_scaledependentpooling.pdf", "http://www.umiacs.umd.edu/~fyang/papers/cvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780603", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.234", "http://doi.org/10.1109/CVPR.2016.234"]}, {"id": "741637b8b6e4fdd30cb40b3881f29c3377eb4749", "title": "Figure-Ground Segmentation - Object-Based", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": [], "doi": ["http://doi.org/10.1007/978-0-85729-997-0_4"]}, {"id": "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "title": "Are we ready for autonomous driving? The KITTI vision benchmark suite", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.3dgi.ch/mm2013/images/MM2013%20-%20Lenz%20-%20AreWeReadyForAutonomousDriving-TheKittiVisionBenchmarkSuite.pdf", "http://www.cs.toronto.edu/~urtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.cvlibs.net/publications/Geiger2012CVPR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248074", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248074", "http://doi.org/10.1109/CVPR.2012.6248074"]}, {"id": "8047586d2223f3076a1fc028197f54d0997bccfc", "title": "Pelee: A Real-Time Object Detection System on Mobile Devices", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06882.pdf"], "doi": []}, {"id": "51a162f6d21e48c3731aec8f676ba7c18c65bd26", "title": "From trajectories to behaviors : an algorithm to track and describe dancing birds", "addresses": [{"name": "University of Salerno", "source_name": "Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy", "street_adddress": "Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.76871180", "lng": "14.79201790", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/51a1/62f6d21e48c3731aec8f676ba7c18c65bd26.pdf"], "doi": []}, {"id": "b1045a2de35d0adf784353f90972118bc1162f8d", "title": "Quantifying and Transferring Contextual Information in Object Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"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": "2012", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Quantifying%20and%20Transferring%20Contextual%20Information%20in%20Object%20Detection.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengGongXiang_PAMI2011.pdf", "http://www.eecs.qmul.ac.uk/~txiang/publications/ZhengGongXiang_PAMI2011.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/2539/ZHENGQuantifyingand2012POST.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989823", "http://doi.org/10.1109/TPAMI.2011.164", "https://www.ncbi.nlm.nih.gov/pubmed/21844619", "https://www.wikidata.org/entity/Q45327033"]}, {"id": "58b99c3d5a0d3d1b567ae5c1d963abecc4d72d70", "title": "Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/847e/cfa4dcd1a397144d24dfc49fcb05ffeff17c.pdf"], "doi": []}, {"id": "9eadb634ec92c7ae7335ac8eb85ef05bd77dd9c6", "title": "Histograms of locally aggregated oriented gradients", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351004", "http://doi.org/10.1109/ICIP.2015.7351004"]}, {"id": "f8599ad5332cdf2c9919988ba300bb4b438b5834", "title": "Transitive Invariance for Self-Supervised Visual Representation Learning", "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": "2017", "pdf": ["https://arxiv.org/pdf/1708.02901.pdf"], "doi": []}, {"id": "006a4d9a06ee8d36bbc9187b2015c206c80a8aff", "title": "Spectral GeometricMethods for Deformable 3 D Shape Retrieval", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/006a/4d9a06ee8d36bbc9187b2015c206c80a8aff.pdf"], "doi": []}, {"id": "49d83e2fc70dc00130ac9eacab498a96abaa0300", "title": "Advances in Multimedia Information Processing \u2013 PCM 2018", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-00776-8"]}, {"id": "9ff973fe3f2541712b7a5f413ad0c32b03e710a4", "title": "Discovering Object Classes from Activities", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9ff9/73fe3f2541712b7a5f413ad0c32b03e710a4.pdf"], "doi": []}, {"id": "f334b6abbab88dcf562be2de4d7fe16f15997cf5", "title": "Fast Image-Based Geometric Change Detection Given a 3D Model", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461019", "http://doi.org/10.1109/ICRA.2018.8461019"]}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "7fdab95ff454a900c710f464c1129cd173059912", "title": "Pattern Recognition and Image Analysis", "addresses": [{"name": "INESC and University of Porto", "source_name": "INESC and University of Porto, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "source_name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "University of Alicante", "source_name": "University of Alicante, Alicante, Spain", "street_adddress": "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "lat": "38.38524460", "lng": "-0.51431610", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-642-38628-2", "https://www.wikidata.org/entity/Q57715006"]}, {"id": "8ec2485e616c935aa82645783096abcd25547cae", "title": "Accurate small object detection via density map aided saliency estimation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296316", "http://doi.org/10.1109/ICIP.2017.8296316"]}, {"id": "072b298bdb1f4330fbab7c43e5d5e74f2bac6dac", "title": "Audio-visual grouplet: temporal audio-visual interactions for general video concept classification", "addresses": [{"name": "Eastman Kodak", "source_name": "Eastman Kodak Company, Rochester, NY, USA", "street_adddress": "343 State St, Rochester, NY 14650, USA", "lat": "43.16080570", "lng": "-77.61967110", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2072316"]}, {"id": "b28ae44e3a69f8f822230bdc5fdcad0633eaf26f", "title": "KidPen: a stroke-based method for kid-style sketches synthesis from photos", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3149434"]}, {"id": "e87ea5fa265eadb7f68f8f06beabfb056e06579a", "title": "Improving Fully Convolution Network for Semantic Segmentation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08986.pdf"], "doi": []}, {"id": "bfea962697e9b445b89a865b465ae967dd55b4fe", "title": "Efficient object detection via structured learning and local classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bfea/962697e9b445b89a865b465ae967dd55b4fe.pdf"], "doi": []}, {"id": "3d2bf56bf8efb0459c0303526436ac320d237b13", "title": "Objectness estimation using edges", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351584", "http://doi.org/10.1109/ICIP.2015.7351584"]}, {"id": "0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e", "title": "Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00609.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "5cc22f65bf4e5c0aa61f3139da832d3a946e15cf", "title": "Path Aggregation Network for Instance Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"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": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.01534.pdf"], "doi": []}, {"id": "b54200cc65046e1d29329bded3eaa741f45063e4", "title": "Learning Deep Representations and Detection of Docking Stations Using Underwater Imaging", "addresses": [{"name": "RIKEN Center for AIP, Tokyo, Japan", "source_name": "RIKEN Center for AIP, Tokyo, Japan", "street_adddress": "Japan, \u3012103-0027 Tokyo, Ch\u016b\u014d, Nihonbashi, 1 Chome\u22124\u2212\uff11 \u65e5\u672c\u6a4b\u4e00\u4e01\u76ee\u4e09\u4e95\u30d3\u30eb\u30c7\u30a3\u30f3\u30b0 15\u968e", "lat": "35.68253370", "lng": "139.77463210", "type": "edu", "country": "Japan"}, {"name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "source_name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "street_adddress": "Shenyang, Liaoning, China", "lat": "41.80569900", "lng": "123.43147200", "type": "edu", "country": "China"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559067"]}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "0c77f42e8d530b542a534087b24dd8a21e8781cf", "title": "Source ( synthetic ) Target ( real ) feature dimension 1 feature dim ension", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0c77/f42e8d530b542a534087b24dd8a21e8781cf.pdf"], "doi": []}, {"id": "e64fa00da02cc774559db5be88bc2862afbfd432", "title": "Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e64f/a00da02cc774559db5be88bc2862afbfd432.pdf"], "doi": []}, {"id": "0faeec0d1c51623a511adb779dabb1e721a6309b", "title": "Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California at Los Angeles", "source_name": "University of California at Los Angeles, Los Angeles, CA", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "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"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "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"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "National University of Ireland Maynooth", "source_name": "National University of Ireland Maynooth", "street_adddress": "National University of Ireland Maynooth, River Apartments, Maynooth, Maynooth ED, Maynooth Municipal District, County Kildare, Leinster, KILDARE, Ireland", "lat": "53.38469750", "lng": "-6.60039458", "type": "edu", "country": "Ireland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc33/f15900ad4f11f79f5af849449bd244103427.pdf"], "doi": []}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "5ca467072ec40acb1b6bbf59f1119300741c0aba", "title": "Content-Based Photo Quality Assessment", "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": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/cvpr11_WLuo_XWang_XTang.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/luoWTiccv11.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/tangLWtmm13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6544270", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126498", "http://doi.org/10.1109/ICCV.2011.6126498", "https://doi.org/10.1109/TMM.2013.2269899"]}, {"id": "c4fc07072d7ebfbca471d2394b20199d8107e517", "title": "Active Mask Hierarchies for Object Detection", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c4fc/07072d7ebfbca471d2394b20199d8107e517.pdf"], "doi": []}, {"id": "8ff7743abd160763dcd12c8404d65477339a0e81", "title": "Fine-Grained Categorization for 3D Scene Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8ff7/743abd160763dcd12c8404d65477339a0e81.pdf"], "doi": []}, {"id": "ffc2f8c1bf568b913427d1702d75306311df3d5b", "title": "Orientation robust object detection in aerial images using deep convolutional neural network", "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": "2015", "pdf": ["http://www.ucassdl.cn/publication/zhg_ICIP2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351502", "http://doi.org/10.1109/ICIP.2015.7351502"]}, {"id": "a05b7a206c86b3928746cce935f6f85d534a43cd", "title": "Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning", "addresses": [{"name": "Shandong University of Traditional Chinese Medicine", "source_name": "College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China", "street_adddress": "China, Shandong, Jinan, Lixia, \u7ecf\u5341\u8def16369", "lat": "36.65015600", "lng": "117.04613800", "type": "edu", "country": "China"}, {"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "Digital Image Group (DIG), London, Canada", "source_name": "Digital Image Group (DIG), London, Canada", "street_adddress": "London, ON, Canada", "lat": "42.98492330", "lng": "-81.24527680", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/PathogenesisSpine.pdf"], "doi": ["http://doi.org/10.1007/s12021-018-9365-1", "https://www.ncbi.nlm.nih.gov/pubmed/29450848", "https://www.wikidata.org/entity/Q49946900"]}, {"id": "50612493253f5cea7ecf406e9a8d75382b96a83e", "title": "How do humans sketch objects?", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2185540"]}, {"id": "35f345ebe3831e4741dcdc1931da59043acf4b83", "title": "Towards High Performance Video Object Detection for Mobiles 3 2 Revisiting Video Object Detection Baseline", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f3/45ebe3831e4741dcdc1931da59043acf4b83.pdf"], "doi": []}, {"id": "051000dd99635b74862b4b33f6dd84aca34f7471", "title": "An Encoder-Decoder Based Convolution Neural Network ( CNN ) for Future Advanced Driver Assistance System ( ADAS )", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0510/00dd99635b74862b4b33f6dd84aca34f7471.pdf"], "doi": []}, {"id": "5e99aeae07c8f599ab2251a1f62703d0380d1e14", "title": "Dictionary learning for a sparse appearance model in visual tracking", "addresses": [{"name": "\u00c9cole Centrale de Lille, CRIStAL, UMR CNRS 9189", "source_name": "École Centrale de Lille, CRIStAL, UMR CNRS 9189", "street_adddress": "42 Rue Paul Duez, 59000 Lille, France", "lat": "50.63165620", "lng": "3.07520350", "type": "edu", "country": "France"}, {"name": "Institut Mines-Telecom / Telecom Lille", "source_name": "Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France", "street_adddress": "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "lat": "50.60971560", "lng": "3.13728330", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351659", "http://doi.org/10.1109/ICIP.2015.7351659", "https://hal.archives-ouvertes.fr/hal-01211263/document"]}, {"id": "14a3194bb454f1f2e3fc1452045ac18c69959368", "title": "Fast Object Detection Using Multistage Particle Window Deformable Part Model", "addresses": [{"name": "National Chung Cheng University", "source_name": "National Chung Cheng University", "street_adddress": "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "lat": "23.56306355", "lng": "120.47510531", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://www.cs.ccu.edu.tw/~wtchu/papers/2014ISM-chu.pdf", "https://pdfs.semanticscholar.org/14a3/194bb454f1f2e3fc1452045ac18c69959368.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7033002", "http://doi.ieeecomputersociety.org/10.1109/ISM.2014.23", "http://doi.org/10.1109/ISM.2014.23"]}, {"id": "9f879c8eed15d0c54ee86d0fb3de1e83a87d282d", "title": "A new two-stage object detection network without RoI-Pooling", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407398"]}, {"id": "e6cd10c6de16ae2fba499762f2d6242990e1d35c", "title": "Improved Person Detection on Omnidirectional Images with Non-maxima Supression.", "addresses": [{"name": "Chemnitz University of Technology", "source_name": "Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany", "street_adddress": "Reichenhainer Str. 70, 09126 Chemnitz, Germany", "lat": "50.81507300", "lng": "12.92558600", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08503.pdf"], "doi": []}, {"id": "0c2cb193274217855000c98a02488885571b55bc", "title": "TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01466.pdf"], "doi": []}, {"id": "55f80ddcb49dbb45c4fc9d42da006580bd6690b5", "title": "GRANet: Global Refinement Atrous Convolutional Neural Network for Semantic Scene Segmentation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451636"]}, {"id": "95f4b88d4b0a725d786b34558b60af47f5442230", "title": "Reconfigurable Processor for Deep Learning in Autonomous Vehicles", "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": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/381e/7525bc8b9d47ae0343e471f5f1d5e6963bbe.pdf"], "doi": []}, {"id": "56c24b33d9efd05effe8afcbfa68fe27b5738cc2", "title": "Regularized Geometric Hulls for Bio-medical Image Segmentation", "addresses": [{"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/56c2/4b33d9efd05effe8afcbfa68fe27b5738cc2.pdf"], "doi": []}, {"id": "7653af14cf2b220da07252df585c443985ea9f8b", "title": "Human Detection Based on the Generation of a Background Image by Using a Far-Infrared Light Camera", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7653/af14cf2b220da07252df585c443985ea9f8b.pdf"], "doi": []}, {"id": "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "title": "A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "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": ["https://arxiv.org/pdf/1808.02595.pdf"], "doi": []}, {"id": "15ec23ae3007c8474149777e6f3d9974dd392fb5", "title": "Novel line verification for multiple instance focused retrieval in document collections", "addresses": [{"name": "Universidad Aut\u00f2noma de Barcelona, Spain", "source_name": "Computer Vision Center, Univ. Aut\u00f2noma de Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of 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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333808"]}, {"id": "56e28ea9eb8e92e199f35af6f6c348df2b19429c", "title": "An experimental comparison of online object-tracking algorithms", "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": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/spie11a.pdf"], "doi": ["https://doi.org/10.1117/12.895965"]}, {"id": "02f90eb252ab3bdab420690570b16effdee53b3f", "title": "Unsupervised Object Discovery and Segmentation in Videos", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/schulter_bmvc_13.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/abstract0053.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/paper0053.pdf"], "doi": ["http://doi.org/10.5244/C.27.53"]}, {"id": "2a7e02ebdb7622815dbce8cf227189e2c92d026c", "title": "Zero-Shot Object Detection by Hybrid Region Embedding", "addresses": [{"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"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06157.pdf"], "doi": []}, {"id": "d1580e818932ba23b38784b48d3e472ec91cd746", "title": "Decomposed human localization in personal photo albums", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Hunan University of Humanities", "source_name": "Hunan University of Humanities, Science and Technology, China", "street_adddress": "China, Hunan Sheng, Loudi Shi, Louxing Qu, \u80b2\u624d\u8def \u90ae\u653f\u7f16\u7801: 417000", "lat": "27.71232800", "lng": "112.00637300", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706345", "http://doi.org/10.1109/VCIP.2013.6706345"]}, {"id": "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "title": "Multi-omnidirectional cameras for ambient intelligence", "addresses": [{"name": "Bo\u011fazi\u00e7i \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, 34342 Bebek, \u0130stanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204823", "http://doi.org/10.1109/SIU.2012.6204823"]}, {"id": "fe1f382184505cdd9c8857119b95974b8396c3d9", "title": "Joint learning dictionary and discriminative features for high dimensional data", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Michigan-Dearborn", "source_name": "University of Michigan-Dearborn, USA", "street_adddress": "4901 Evergreen Rd, Dearborn, MI 48128, USA", "lat": "42.31840880", "lng": "-83.23320200", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899661"]}, {"id": "47b09d8c3690ab2e8c9c3e9157413f16024f3bb3", "title": "Learning Anchor Planes for Classification", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/60ec/1ab5b6dbb937f759fb844dce47b225e551d1.pdf"], "doi": []}, {"id": "3ab3f9d97bae4280cc915b7d4dc05f8cbbd6e6c8", "title": "Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}, {"name": "Cornell Tech, USA", "source_name": "Cornell Tech, USA", "street_adddress": "2 W Loop Rd, New York, NY 10044, USA", "lat": "40.75577270", "lng": "-73.95621120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298658"]}, {"id": "1661df61b0ef6147fbd0b55c9989fa8e8715806d", "title": "Deep visual words: Improved fisher vector for image classification", "addresses": [{"name": "PSI-ESAT / ETHZ", "source_name": "PSI-ESAT / ETHZ", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986832"]}, {"id": "16741cad4175adf065d6adbfdfa27acdcda2b26b", "title": "Deep Learning Approach for Building Detection in Satellite Multispectral Imagery", "addresses": [{"name": "Innopolis University", "source_name": "Institute of Robotics, Innopolis University, Russia", "street_adddress": "Universitetskaya St, 1, Innopolis, Respublika Tatarstan, Russia, 420500", "lat": "55.75344900", "lng": "48.74341100", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04247.pdf"], "doi": []}, {"id": "13c0c418df650ad94ac368c81e2133ec9e166381", "title": "Mid-level deep pattern mining", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6382.pdf"], "doi": []}, {"id": "5f0b1f37fc9c65c56106438b9aa4c6e0909d6fc0", "title": "3D object class detection in the wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.05038.pdf"], "doi": []}, {"id": "db9644b48ff890fd76c377192faa1e60b72c0120", "title": "Response prompting for intelligent robot instruction of students with intellectual disabilities", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333651"]}, {"id": "8a9fb7a5e3035e013129d55887b05f63b1fc5ad0", "title": "Person-following UAVs", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.svcl.ucsd.edu/publications/conference/2016/2016IEEEWACVPersonFollowingUAVs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477660", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477660", "http://doi.org/10.1109/WACV.2016.7477660"]}, {"id": "0c3d7a871915838ed5e126978c0d9f69f969b6a8", "title": "Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation", "addresses": [{"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"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": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247739"]}, {"id": "777487da0f738161e4283042084b85fca4a82487", "title": "Detector ensemble based on false positive mining for pedestrian detection", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486602"]}, {"id": "7f415aee0137acab659c664eb1dff15f7b726bdd", "title": "Scene Text Recognition Using Structure-Guided Character Detection and Linguistic Knowledge", "addresses": [{"name": "CASIA, Beijing, China", "source_name": "State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/3745/1/TCSVT-scene%20text%20recognition%20using%20structure-guided%20character%20detection%20and%20linguistic%20knowledge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727574", "http://doi.org/10.1109/TCSVT.2014.2302522"]}, {"id": "58c17688fc08eb69ff3b20803a227693289d63c5", "title": "Online multiple objects tracking with detection reliability prior constraint", "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 Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5530-z"]}, {"id": "6143a034163e7c8b533afcbba6bd1c48631ca77f", "title": "Appearance-based indoor localization: A comparison of patch descriptor performance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03514.pdf"], "doi": []}, {"id": "71b973c87965e4086e75fd2379dd1bd8e3f8231e", "title": "Progressive Attention Networks for Visual Attribute Prediction", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}, {"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/1606.02393.pdf"], "doi": []}, {"id": "ada42b99f882ba69d70fff68c9ccbaff642d5189", "title": "Semantic Image Segmentation and Web-Supervised Visual Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/ba11/4dfdd12b0f4323a8f28cd2bd770dfa74673e.pdf"], "doi": []}, {"id": "52684303004d2a9849e53a111cb847d05156d73c", "title": "Robust Online Visual Tracking with a Single Convolutional Neural Network", "addresses": [{"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Jiangxi Normal University", "source_name": "Jiangxi Normal University, Nanchang, China", "street_adddress": "Nanchang, China", "lat": "28.67850000", "lng": "116.03121200", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/452.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop3/pdffiles/w3-p12.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_13"]}, {"id": "b62ffb6a17d75363c8873a236f1d8c49d07c8a0e", "title": "An MRF-Poselets Model for Detecting Highly Articulated Humans", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410585", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.228", "http://doi.org/10.1109/ICCV.2015.228"]}, {"id": "32a8c1bf38f3057fdb808d27d5c1a82a168fc100", "title": "PD2T: Person-Specific Detection, Deformable Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/2017_pami_offline_deformable_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094942", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2769654", "http://doi.org/10.1109/TPAMI.2017.2769654", "https://www.ncbi.nlm.nih.gov/pubmed/29990150"]}, {"id": "1ce04783dc3af013fbfb1ee65af97b1dbcf820fa", "title": "Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ce0/4783dc3af013fbfb1ee65af97b1dbcf820fa.pdf"], "doi": []}, {"id": "94e378a1ee5fc205272c3fcfb46ca04a1a9916c4", "title": "Extremely Overlapping Vehicle Counting", "addresses": [{"name": "University of Alcal\u00e1", "source_name": "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://agamenon.tsc.uah.es/Personales/rlopez/docs/ibpria2015-guerrero.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-19390-8_48"]}, {"id": "86824ba374daff17ff2235484055b3bb9c464555", "title": "S-CNN: Subcategory-Aware Convolutional Networks for Object Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051100", "http://doi.org/10.1109/TPAMI.2017.2756936", "https://www.ncbi.nlm.nih.gov/pubmed/28961103", "https://www.wikidata.org/entity/Q47667340"]}, {"id": "b86b0a3494c2e2d4a3f4c9a18f1e4fec542bb57d", "title": "Perceptual Material Attributes Arise in Local Material Recognition", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b86b/0a3494c2e2d4a3f4c9a18f1e4fec542bb57d.pdf"], "doi": []}, {"id": "8fe0a35dc47698b45f3812bb502b0921b349ae56", "title": "Online multi-person tracking via robust collaborative model", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025086", "http://doi.org/10.1109/ICIP.2014.7025086"]}, {"id": "70d71c2f8c865438c0158bed9f7d64e57e245535", "title": "Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/intr_obj_vrt_nips13.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2013_5198.pdf", "http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/intr_obj_vrt_nips13.pdf", "http://wwwpub.zih.tu-dresden.de/~cvweb/publications/papers/2013/nips13_vinett_torr_rother.pdf"], "doi": ["http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation"]}, {"id": "29921072d8628544114f68bdf84deaf20a8c8f91", "title": "Multi-task Curriculum Transfer Deep Learning of Clothing Attributes", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.03670.pdf"], "doi": []}, {"id": "924f931aaed2925c9d9becd0ec76c512fba8274d", "title": "Multi-target detection in CCTV footage for tracking applications using deep learning techniques", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}, {"name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "source_name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532493"]}, {"id": "cfa48bc1015b88809e362b4da19fe4459acb1d89", "title": "Learning to Filter Object Detections", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cfa4/8bc1015b88809e362b4da19fe4459acb1d89.pdf"], "doi": []}, {"id": "08f9e2129e6851afac28d63f65c2aa6fc7c49023", "title": "Visual Recognition with Humans in the Loop", "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": "2010", "pdf": ["http://people.cs.pitt.edu/~kovashka/cs3710_sp15/active_learning_yan.pdf", "http://rogerioferis.com/VisualRecognitionAndSearch2014/material/presentations/AmeyAndKaiFinegrainedCategorization.pdf", "http://vision.cornell.edu/se3/wp-content/uploads/2014/09/Visipedia20q.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/shah_expt.pdf", "http://web.cs.ucdavis.edu/~yjlee/teaching/ecs289h-fall2014/oct30_present.pdf", "http://www.cs.cornell.edu/Courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "http://www.cs.cornell.edu/courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "https://www.cc.gatech.edu/~hays/compvision2016/lectures/27.pdf", "https://www.cc.gatech.edu/~parikh/ACVHL/Belongie_ACVHL.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15561-1_32"]}, {"id": "66f40e4ec173a2337fa42ff9d85c6e7a18ef16e1", "title": "Online action detection and forecast via Multitask deep Recurrent Neural Networks", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952447"]}, {"id": "18ebb2bbae3dfe4ab3f592494638f33e5072c8f7", "title": "Performance analysis of CNN frameworks for GPUs", "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7975270"]}, {"id": "aacaeffbe652d0eac25267c79ce96f2f4f557e39", "title": "MEVBench: A mobile computer vision benchmarking suite", "addresses": [{"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": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6114206"]}, {"id": "4a06c130c57b373718d15aa25ebb958d78bf2840", "title": "Deformable parts model for people detection in heavy machines applications", "addresses": [{"name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "source_name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "street_adddress": "57 Avenue de Landshut, 60200 Compi\u00e8gne, France", "lat": "49.40075300", "lng": "2.79528080", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7064337", "http://doi.org/10.1109/ICARCV.2014.7064337"]}, {"id": "3640bf810f4cc3160c278763663de03bc5ba6bb9", "title": "Deep reinforcement learning boosted by external knowledge", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3167165"]}, {"id": "37314dbf2d7680b0545223abefbb58cf476273bd", "title": "The three R's of computer vision: Recognition, reconstruction and reorganization", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://people.eecs.berkeley.edu/~shubhtuls/papers/prl16rrr.pdf", "http://www.cse.buffalo.edu/events/2013/malik.pdf", "https://people.eecs.berkeley.edu/~sgupta/pdfs/malik2016three.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2016.01.019"]}, {"id": "a81a14ff19586605ba3e6c1053d4dfdec064ac74", "title": "Object Detection and Tracking for Creation of Interactive Videos", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a81a/14ff19586605ba3e6c1053d4dfdec064ac74.pdf"], "doi": []}, {"id": "63d86c3c2b3cb2f6d0672dd05c95187114e77027", "title": "Automatic target detection in GPR images using Histogram of Oriented Gradients (HOG)", "addresses": [{"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7015795"]}, {"id": "d86cc655aee9596de5e0db001275c6fee495eb08", "title": "Volume segmentation using convolutional neural networks with limited training data", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296349"]}, {"id": "f576d8a18eec63c44204c7ae1c25a48d27e7af35", "title": "Adaptive window search using semantic texton forests for real-time object detection", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738678"]}, {"id": "1ddea4c0a2fd23f4878c20a7ec446090290011fc", "title": "Towards real-time DPM object detector for driver assistance", "addresses": [{"name": "University of Louisiana at Lafayette", "source_name": "University of Louisiana at Lafayette, Lafayette, LA", "street_adddress": "104 East University Avenue, Lafayette, LA 70504, USA", "lat": "30.21144040", "lng": "-92.02041210", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533079"]}, {"id": "b51fb0118975d2d57d33bb61ba3ed40260fab9d1", "title": "Learning equivariant structured output SVM regressors", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126339"]}, {"id": "1f9d5b6c48e8674190c6db6b4abc87fec20038c7", "title": "UnrealCV: Connecting Computer Vision to Unreal Engine", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01326.pdf"], "doi": []}, {"id": "5b0b675416d0603008d5650bbb259f8ab230e8cb", "title": "Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": ["https://arxiv.org/pdf/1009.4823.pdf"], "doi": []}, {"id": "a0b9a6123fa8113ad3ddc44614941c73512b9dca", "title": "Multi-class object segmentation based on jointly integrating segment-level and image-level object priors", "addresses": [{"name": "Ningbo University of Technology", "source_name": "Ningbo University of Technology, Ningbo, China", "street_adddress": "201 Fenghua Rd, Jiangbei Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.90986300", "lng": "121.61432300", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832104"]}, {"id": "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "title": "Zero-Shot Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07113.pdf"], "doi": []}, {"id": "ce290c46257f7676147b5cfe4c104373e4fca13a", "title": "Deep Feature Compression for Collaborative Object Detection", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451100"]}, {"id": "d3fefc8ea31d9676ca6115e81c55c0cd335131c2", "title": "Information Content of Very-High-Resolution SAR Images: Semantics, Geospatial Context, and Ontologies", "addresses": [{"name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, We\u00dfling, Germany", "source_name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, Weßling, Germany", "street_adddress": "Germany", "lat": "51.16569100", "lng": "10.45152600", "type": "gov", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6960829"]}, {"id": "cf3e9d7cc63959aa7b71ef3e72521fe8814ba3d5", "title": "HumanRcoarseR poseRdiscretization ( labels ) 3 DRModelRfine poseRdiscretization ( angles ) AnnotationRimage 45 \u00b0", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf3e/9d7cc63959aa7b71ef3e72521fe8814ba3d5.pdf"], "doi": []}, {"id": "5b4b84ce3518c8a14f57f5f95a1d07fb60e58223", "title": "Diagnosing Error in Object Detectors", "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": "2012", "pdf": ["https://pdfs.semanticscholar.org/9f92/05a60ddf1135929e0747db34363b3a8c6bc8.pdf"], "doi": []}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "1b90548616d09bfdb788dbfb1e1a1aedb62396d8", "title": "A novel autonomous navigation approach for UAV power line inspection", "addresses": [{"name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "source_name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324488"]}, {"id": "db3fdaaf30c8d3390b72b864134d1a8f2c18fac8", "title": "Understanding Infographics through Textual and Visual Tag Prediction", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09215.pdf"], "doi": []}, {"id": "d764fd52625933692843941825845fcd5ee27f0d", "title": "Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d764/fd52625933692843941825845fcd5ee27f0d.pdf"], "doi": []}, {"id": "1ebb95859f0398cac9a957c61f5047f268ec89a3", "title": "StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://cms.brookes.ac.uk/staff/PhilipTorr/Papers/2010/BMVC10/jw_stypboost.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/abstract60.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/paper60.pdf", "http://www.robots.ox.ac.uk/~phst/Papers/2010/BMVC10/jw_stypboost.pdf"], "doi": ["https://doi.org/10.5244/C.24.60"]}, {"id": "572785b5d6f6fa4b174d79725f82c056b0fb4565", "title": "Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05519.pdf"], "doi": []}, {"id": "2d34052aa801b2061670be0a39f59ae51b5e5866", "title": "High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation", "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": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7098386"]}, {"id": "221252be5d5be3b3e53b3bbbe7a9930d9d8cad69", "title": "Do We Need More Training Data or Better Models for Object Detection?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2212/52be5d5be3b3e53b3bbbe7a9930d9d8cad69.pdf"], "doi": []}, {"id": "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "title": "Semantic Image Segmentation via Deep Parsing Network", "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": "2015", "pdf": ["https://arxiv.org/pdf/1509.02634.pdf"], "doi": []}, {"id": "3785f701a53ab0c8baa9b76c75216944361943b8", "title": "Reproducible evaluation of Pan-Tilt-Zoom tracking", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351162"]}, {"id": "b8660b0a60c2ecd0f34c42d4d2a043cfc4f01ce1", "title": "DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects", "addresses": [{"name": "IDSIA & USI", "source_name": "IDSIA & USI", "street_adddress": "Via Giuseppe Buffi 13, 6900 Lugano, Switzerland", "lat": "46.01073700", "lng": "8.95810900", "type": "edu", "country": "Switzerland"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University of Venice & ZHAW", "source_name": "University of Venice & ZHAW", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab & USI", "source_name": "ZHAW Datalab & USI", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545307"]}, {"id": "72be36fce39e2c04ac1f3e3995b39559e226fe34", "title": "Visual object tracking based on particle filter re-detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Institute of Automation, Heilongjiang Academy of Sciences, Harbin, China", "source_name": "The Institute of Automation Heilongjiang Academy of Sciences, Harbin, China", "street_adddress": "Hei Long Jiang Sheng Ke Xue Yuan Zi Dong Hua Yan Jiu Suo, HuiZhan, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150090", "lat": "45.74575440", "lng": "126.69166510", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304242"]}, {"id": "c1ba0d38d855af0f4a2c2cf0f4fa48e4477fc4ec", "title": "Efficient Highly Over-Complete Sparse Coding Using a Mixture Model", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://www.dbs.ifi.lmu.de/~yu_k/ECCV10-HSC.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/ECCV10-HSC.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15555-0_9"]}, {"id": "52fe6d952ac0b6888b65293acfaec6825153c955", "title": "Visual tracking based on weighted subspace reconstruction error", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025092"]}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"], "doi": []}, {"id": "4be7eb91407043d66e1cbbb6891e9b58ddce8c09", "title": "Robust Visual Tracking Revisited: From Correlation Filter to Template Matching", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307468"]}, {"id": "21462ab847ee919abbd862c1f86b7c13ad34d519", "title": "Traffic scene segmentation based on boosting over multimodal low, intermediate and high order multi-range channel features", "addresses": [{"name": "Technical University of Cluj-Napoca", "source_name": "Technical University of Cluj-Napoca", "street_adddress": "Strada Memorandumului 28, Cluj-Napoca 400114, Romania", "lat": "46.76929900", "lng": "23.58561300", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": ["http://cv.utcluj.ro/tl_files/cv/publications/IV2017_0468.pdf", "https://cv.utcluj.ro/tl_files/cv/publications/Traffic%20Scene%20Segmentation%20based%20on%20Boosting%20over%20Multimodal%20Low,%20Intermediate%20and%20High%20Order%20Multi-range%20Channel%20Features%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995701", "http://doi.org/10.1109/IVS.2017.7995701"]}, {"id": "f12354cbe696ee2f278abaccf7ee4305b3f4f1a3", "title": "Dense Receptive Field for Object Detection", "addresses": [{"name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "source_name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546207"]}, {"id": "038e2f45575c234358325dd0dd16421136882191", "title": "Planar Object Detection using Local Feature Descriptors", "addresses": [{"name": "Slovak University of Technology in Bratislava", "source_name": "Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovi\u010dova 3, 812 19 Bratislava, Slovak Republic", "street_adddress": "Ilkovi\u010dova 2961/3, 841 04 Karlova Ves, Slovakia", "lat": "48.15185320", "lng": "17.07334460", "type": "edu", "country": "Slovakia"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/038e/2f45575c234358325dd0dd16421136882191.pdf"], "doi": []}, {"id": "5570388d982bebe4eb80f1eb7348e353370a5ebf", "title": "DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01405.pdf"], "doi": []}, {"id": "285b27126e3e6d51942e8a152581a59110a9feaa", "title": "Visual Tracking via Probabilistic Hypergraph Ranking", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368902"]}, {"id": "8e90aa167c7ba97228ecee23886f74c21f8fabd5", "title": "Symbolic Segmentation Using Algorithm Selection", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d  \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07934.pdf"], "doi": []}, {"id": "35535b2b03a9fcbcd8c09f753e1a69c977add020", "title": "Estimation of intersection traffic density on decentralized architectures with deep networks", "addresses": [{"name": "Siemens Corporate Research and Technologies", "source_name": "Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India", "street_adddress": "84, Hosur Road, Electronics City Phase 1, Keonics Electronics City, Bengaluru, Karnataka 560100, India", "lat": "12.84508670", "lng": "77.66094070", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090799"]}, {"id": "c0c3e0161a1007a5edf701a6b4a201ca06922559", "title": "Enhancing Multi-Camera People Detection by Online Automatic Parametrization Using Detection Transfer and Self-Correlation Maximization \u2020", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0c3/e0161a1007a5edf701a6b4a201ca06922559.pdf"], "doi": []}, {"id": "45d45687ebca6281d44e477cd012a1ef48ebf286", "title": "Deep fruit detection in orchards", "addresses": [{"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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989417"]}, {"id": "40c22f4717a6364e8e3e296bc5533d00cbe5b188", "title": "A seeding-searching-ensemble method for gland segmentation and detection", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7359707"]}, {"id": "6b8c4082cff10a893efa172da0ca1d31e166be0f", "title": "Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03128.pdf"], "doi": []}, {"id": "ec25f39fa6b4ef4529981a1ae051086e93642d27", "title": "Deformable Part Models are Convolutional Neural Networks Tech report", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ec25/f39fa6b4ef4529981a1ae051086e93642d27.pdf"], "doi": []}, {"id": "da082139f303fd36c160d91acc0949c005dd846c", "title": "A Deep Learning Framework for Semi-Supervised Cross-Modal Retrieval with Label Prediction", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01391.pdf"], "doi": []}, {"id": "7cbbcb0698ce5cd22951147ca8d606a91e9c0f05", "title": "Active object detection on graphs via locally informative trees", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738876"]}, {"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"], "doi": []}, {"id": "d802b6f76288e62f9236d13c59dedb94453e6915", "title": "Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947145"]}, {"id": "6342c679becb63aed72a9c7cc2cf3b217adcacee", "title": "Deep-learning-based object-level contour detection with CCG and CRF optimization", "addresses": [{"name": "University of Alabama at Birmingham", "source_name": "University of Alabama at Birmingham, 35294, USA", "street_adddress": "1720 2nd Ave S, Birmingham, AL 35294, USA", "lat": "33.50212270", "lng": "-86.80644470", "type": "edu", "country": "United States"}, {"name": "Institute of Computer Science and Technology, Beijing, China", "source_name": "Institute of Computer Science and Technology, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun N St, \u9038\u592b\u82d1", "lat": "39.99065830", "lng": "116.31493890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019358", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019358", "http://doi.org/10.1109/ICME.2017.8019358"]}, {"id": "1ed99a11c20afc2e6e2f3585f575bf936898dcb3", "title": "Reasoning and algorithm selection augmented symbolic segmentation", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d  \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.03667.pdf"], "doi": []}, {"id": "8c9eaebd1db02f6f94c6e65bc206402f74523e82", "title": "Unsupervised domain adaptation of deep object detectors", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8c9e/aebd1db02f6f94c6e65bc206402f74523e82.pdf"], "doi": []}, {"id": "f2f086b4ea5c37712b8fbcbcb4af6d24d4f2b78b", "title": "Comparative Analysis of Face Detection Algorithms: Novice to Novel", "addresses": [{"name": "Aljouf University", "source_name": "Aljouf University, Skaka Aljouf, 72388, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0645\u0637\u0627\u0631\u060c Sakakah Saudi Arabia", "lat": "29.79074900", "lng": "40.04499400", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8571474"]}, {"id": "9d1512cec2cddf707f4a82c6781c4cd7de6c1ed6", "title": "Predicting the Location of \"interactees\" in Novel Human-Object Interactions", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c1ae/89b26dc27b5725d08aba484afff43fa39d77.pdf"], "doi": []}, {"id": "55968c9906e13eff2a7fb03d7c416a6d0f9f53e0", "title": "HFS: Hierarchical Feature Selection for Efficient Image Segmentation", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"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": "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": ["http://cg.cs.tsinghua.edu.cn/papers/ECCV-2016-Hfs.pdf", "http://mftp.mmcheng.net/Papers/HFS.pdf", "http://www.eccv2016.org/files/posters/P-2B-16.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2016/0682.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46487-9_53"]}, {"id": "4ac0a37ba0630310e7848e144edcba9ea3d05334", "title": "Max-Margin Dictionary Learning for Multiclass Image Categorization", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4ac0/a37ba0630310e7848e144edcba9ea3d05334.pdf"], "doi": []}, {"id": "46ae0bc7291d209b9effe0bdddf43c82d19832b1", "title": "LinedCut: Image segmentation using single line interaction", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7003816"]}, {"id": "77a0e3e366e061b0ceb4a7a901ee18e420185447", "title": "Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries", "addresses": [{"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/1704.03944.pdf"], "doi": []}, {"id": "9b0ae635f1d3c2771920eb59a80aec35a8bce58a", "title": "An Experimental Protocol for Benchmarking Robotic Indoor Navigation", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9b0a/e635f1d3c2771920eb59a80aec35a8bce58a.pdf"], "doi": []}, {"id": "5c9464407e52a72bc5fe05d214a8140fcc7aeaed", "title": "Boosted local classifiers for visual tracking", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552903"]}, {"id": "5cb5207759597a5d293a331af73e1ace574a4ba4", "title": "Plug-and-play correlation filters for visual tracking", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240899"]}, {"id": "29b3ece4a5d56b0ac072ac7ff5f5ab03fdc27ee9", "title": "Object proposals using CNN-based edge filtering", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899704"]}, {"id": "013e0fe2d203eaa33a4b42d057688815116cc6bb", "title": "Recognizing Car Fluents from Video", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08067.pdf"], "doi": []}, {"id": "931282732f0be57f7fb895238e94bdda00a52cad", "title": "Gated Bi-directional CNN for Object Detection", "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": "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/9312/82732f0be57f7fb895238e94bdda00a52cad.pdf"], "doi": []}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "Xi\u2019an Jiaotong-Liverpool University", "source_name": "Xi\u2019an Jiaotong-Liverpool University, Jiangsu, China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "595a8356461904b2dfe7f46acc87002fcee9d4a1", "title": "Supervised Adversarial Networks for Image Saliency Detection", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07242.pdf"], "doi": []}, {"id": "cae6f7249783b102e8b05216709a780f47c57f7c", "title": "Subjective evaluation of image understanding results", "addresses": [{"name": "ENSICAEN - University of CAEN - CNRS", "source_name": "GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Mar\u00e9chal Juin, 14000 CAEN, France", "street_adddress": "Campus 2, B\u00e2timent F, 6 Boulevard Mar\u00e9chal Juin, 14000 Caen, France", "lat": "49.21489100", "lng": "-0.36895200", "type": "edu", "country": "France"}, {"name": "ENSI de Bourges - University of Orl\u00e9ans", "source_name": "PRISME Institute, ENSI de Bourges - University of Orl\u00e9ans, 88 Boulevard Lahitolle, 18020 BOURGES, France", "street_adddress": "88 Boulevard Lahitolle, 18000 Bourges, France", "lat": "47.08188770", "lng": "2.41554390", "type": "edu", "country": "France"}], "year": "2010", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2010/Contents/papers/1569291909.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7096451", "http://ieeexplore.ieee.org/document/7096451/"]}, {"id": "cd7aadcf23e056ae5900c72517a34b6cc8d66e0c", "title": "Combining deep learning and unsupervised clustering to improve scene recognition performance", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "Yahoo! Inc.", "source_name": "Yahoo! Inc., 701 1st Ave, Sunnyvale, CA 94089, USA", "street_adddress": "701 1st Ave, Sunnyvale, CA 94089, USA", "lat": "37.41715730", "lng": "-122.02500480", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340859"]}, {"id": "8a336adeb5115f2e70d65dfd9e7feed6e894fb3a", "title": "The sketchy database: learning to retrieve badly drawn bunnies", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925954"]}, {"id": "39afeceb57a7fde266ddd842aa23d2eea7ad5665", "title": "Agile Amulet: Real-Time Salient Object Detection with Contextual Attention", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06960.pdf"], "doi": []}, {"id": "5e9f81f93413a82bf3bd9e77b44b1ca6006f5830", "title": "Pedestrian Detection in RGB-D Images from an Elevated Viewpoint", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e9f/81f93413a82bf3bd9e77b44b1ca6006f5830.pdf"], "doi": []}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "182432088c9fac5b0ac977df625cb40765f7c84c", "title": "Visual Utility : A Framework for Focusing Computer Vision Algorithms", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/1824/32088c9fac5b0ac977df625cb40765f7c84c.pdf"], "doi": []}, {"id": "9241b103b76a3bdae157038b71783d7d372c71e9", "title": "Visual Classification of Furniture Styles", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065951"]}, {"id": "a8308ff2e31f0213d7cc360e613872a0efe3ed3d", "title": "Background Modeling and Foreground Detection for Maritime Video Surveillance", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.dis.uniroma1.it/~bloisi/papers/background-modeling-and-foreground-detection-for-maritime-video-surveillance.pdf"], "doi": ["https://doi.org/10.1201/b17223-18"]}, {"id": "24410627f9db865c4a95bf0ec74547f582ee198b", "title": "Object tracking via appearance modeling and sparse representation", "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": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.cse.sc.edu/~songwang/document/ivc11.pdf", "https://cse.sc.edu/~songwang/document/ivc11.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2011.08.006"]}, {"id": "5dd7d5d91e7e26ec65891f504b9a725f6c26ff27", "title": "Detection of Cars in High-Resolution Aerial Images of Complex Urban Environments", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7982952", "http://doi.org/10.1109/TGRS.2017.2716984"]}, {"id": "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "title": "Real-time people counting from depth imagery of crowded environments", "addresses": [{"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BSBD14/PID3277847.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/03/people-counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918691", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918691", "http://doi.org/10.1109/AVSS.2014.6918691"]}, {"id": "fc23a386c2189f221b25dbd0bb34fcd26ccf60fa", "title": "A Discriminative Latent Model of Object Classes and Attributes", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fc23/a386c2189f221b25dbd0bb34fcd26ccf60fa.pdf"], "doi": []}, {"id": "736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586", "title": "Figure-Ground Organization Based on 3 D Symmetry", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/736e/0b2e5a7e87a7d6e1412e7a4d4f180e89d586.pdf"], "doi": []}, {"id": "d5c8280e49cf7f58356e37e1722ab429415204ff", "title": "Object detection at multiple scales improves accuracy", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2008", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.214.114&rep=rep1&type=pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4761508", "http://doi.org/10.1109/ICPR.2008.4761508"]}, {"id": "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "title": "Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10800.pdf"], "doi": []}, {"id": "531e412155cde56382906aeee2a1b28ec61259c5", "title": "Learning to localize detected objects", "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": "2012", "pdf": ["http://dhoiem.cs.illinois.edu/publications/cvpr2012_objectsegmentation_qieyun.pdf", "http://www.csd.uwo.ca/~olga/Courses/Fall2014/CS9840/PossibleStudentPapers/cvpr2012_objectsegmentation_qieyun.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248070", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248070", "http://doi.org/10.1109/CVPR.2012.6248070"]}, {"id": "2fc8905a80b284d2cc204dc38ce10d904a875be9", "title": "VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2fc8/905a80b284d2cc204dc38ce10d904a875be9.pdf"], "doi": []}, {"id": "bed6b2bbe601a2a81c2191adf1cab487d4bf070e", "title": "Vocabulary Scene Parsing", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"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": "", "pdf": ["https://pdfs.semanticscholar.org/bed6/b2bbe601a2a81c2191adf1cab487d4bf070e.pdf"], "doi": []}, {"id": "6d90a0ac9d015b911469663d505b2e3d8f75520f", "title": "A system for real-time detection and tracking of vehicles from a single car-mounted camera", "addresses": [{"name": "Advanced Technology division, Toyota Motor Europe, Japan", "source_name": "Advanced Technology division, Toyota Motor Europe, Japan", "street_adddress": "Japan", "lat": "36.20482400", "lng": "138.25292400", "type": "company", "country": "Japan"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://cmp.felk.cvut.cz/data/motorway/paper/itsc2012_presentation.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/itsc2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338748", "http://doi.org/10.1109/ITSC.2012.6338748"]}, {"id": "8ba686c99684c6be46988ed3ab1003312c2fbf80", "title": "A non-temporal texture driven approach to real-time fire detection", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://breckon.eu/toby/publications/papers/chenebert11fire.pdf", "https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/7588/Real-time_fire_detection-2011.pdf;jsessionid=BFF4BCF2CC5EF353D82416490C8E1B85?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6115796", "http://doi.org/10.1109/ICIP.2011.6115796", "https://www.wikidata.org/entity/Q54267947"]}, {"id": "69877c56737f84951db86ff27235b597ef95be2f", "title": "Sequential Labeling with Structural SVM Under an Average Precision Loss", "addresses": [{"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"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/100177/1/Conference%20paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-49055-7_31"]}, {"id": "2d1d105538961d9b301bda6248d6df55829751be", "title": "Context-dependent kernel design for object matching and recognition", "addresses": [{"name": "Certis Lab, ENPC ParisTech, France", "source_name": "Certis Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "Telecom ParisTech", "source_name": "UMR 5141, CNRS, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CVPR08c.pdf", "http://certis.enpc.fr/publications/papers/TSI0718.pdf", "http://imagine.enpc.fr/~audibert/Mes%20articles/CVPR08c.pdf", "http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/267.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/267.pdf", "http://www.di.ens.fr/willow/pdfs/CVPR08c.pdf", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/file/CVPR08c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587607", "http://doi.org/10.1109/CVPR.2008.4587607", "http://service.tsi.telecom-paristech.fr/cgi-bin//valipub_download.cgi?dId=50", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/document"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "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": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "390faba76c076e6bf8db4b0850366bd084be257a", "title": "Real-time keypoint-based object tracking via online learning", "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"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6747687"]}, {"id": "2cd7821fcf5fae53a185624f7eeda007434ae037", "title": "Exploring the geo-dependence of human face appearance", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835989", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835989", "http://doi.org/10.1109/WACV.2014.6835989"]}, {"id": "ad173dd56894fe00ab1bca68c284dc34b5e67a0e", "title": "Multi-scale object detection by clustering lines", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["http://hci.iwr.uni-heidelberg.de/COMPVIS/research/voting/ommer_cvl_iccv09.pdf", "https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/ommer_cvl_iccv09.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459200", "http://doi.org/10.1109/ICCV.2009.5459200"]}, {"id": "38d782a3ec91e2f8b0be131243eacfe6e6b07284", "title": "Robustness Against Unknown Noise for Raw Data Fusing Neural Networks", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}, {"name": "Royal Holloway, Egham Hill, Egham, United Kingdom", "source_name": "Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom", "street_adddress": "Egham Hill, Egham TW20 0EX, UK", "lat": "51.42567300", "lng": "-0.56306250", "type": "edu", "country": "United Kingdom"}, {"name": "University Ulm", "source_name": "University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany", "street_adddress": "Albert-Einstein-Allee 41, 89081 Ulm, Germany", "lat": "48.42075690", "lng": "9.94759610", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pure.royalholloway.ac.uk/portal/files/31291311/ITSC18_0485_FI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569911", "http://doi.org/10.1109/ITSC.2018.8569911"]}, {"id": "fe5c43aa19da5cbbf5a42e4697659875f7389b91", "title": "Tracking People in Broadcast Sports", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fe5c/43aa19da5cbbf5a42e4697659875f7389b91.pdf"], "doi": []}, {"id": "e1f041594fa37d407c80b28a13680a9ddc081c49", "title": "Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11232.pdf"], "doi": []}, {"id": "414cf31a68b890dfb395c55e6ba078beaa5d2cbb", "title": "Rotation-Invariant Features for Multi-Oriented Text Detection in Natural Images", "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": "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": "2013", "pdf": ["https://pdfs.semanticscholar.org/414c/f31a68b890dfb395c55e6ba078beaa5d2cbb.pdf"], "doi": []}, {"id": "f5a900b6f9baf8f5aefe2a6cfe6cf7bdbb243c50", "title": "Why my photos look sideways or upside down? Detecting canonical orientation of images using convolutional neural networks", "addresses": [{"name": "Samsung R&D Insitute India - Bangalore, India", "source_name": "Samsung R&D Insitute India - Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026216"]}, {"id": "7d520f474f2fc59422d910b980f8485716ce0a3e", "title": "Designing Convolutional Neural Networks for Urban Scene Understanding", "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", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/2128/4a9310a4b4c836b8dfb6af39c682b7348128.pdf"], "doi": []}, {"id": "dab8b00e5619ceec615b179265cd6d315a97911d", "title": "A two-stage training deep neural network for small pedestrian detection", "addresses": [{"name": "Teikyo University", "source_name": "Teikyo University", "street_adddress": "Japan, \u3012173-8605 Tokyo, \u677f\u6a4b\u533a\u52a0\u8cc0\uff12\u4e01\u76ee\uff11\uff11\u2212\uff11", "lat": "35.75927460", "lng": "139.71450290", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8168106", "http://doi.org/10.1109/MLSP.2017.8168106"]}, {"id": "d012f6d7fd45051adaff8da4ce0860de9f81d445", "title": "A Deep Multi-task Learning Approach to Skin Lesion Classification", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1812.03527.pdf"], "doi": []}, {"id": "9a7671fcb2f8876dba7bf5ed708100d29e3ecfc4", "title": "Learning by focusing: A new framework for concept recognition and feature selection", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/learning_by_focusing_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607609", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607609", "http://doi.org/10.1109/ICME.2013.6607609"]}, {"id": "4a31ca27b987606ae353b300488068b5240633ee", "title": "WSABIE: scaling up to large vocabulary image annotation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2011", "pdf": ["http://bengio.abracadoudou.com/cv/publications/pdf/weston_2011_ijcai.pdf", "http://ijcai.org/Proceedings/11/Papers/460.pdf", "http://www.thespermwhale.com/jaseweston/papers/wsabie-ijcai.pdf"], "doi": ["http://doi.org/10.5591/978-1-57735-516-8%2FIJCAI11-460", "https://www.wikidata.org/entity/Q47516823"]}, {"id": "40b237c04438a1828083a139ebc88f521591375a", "title": "Tracking handheld object using three layer RGB-D image space", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139524"]}, {"id": "24988830d49d96dd83f6cb4f622fd7e1248fa7e5", "title": "DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics", "addresses": [{"name": "College of William and Mary, Williamsburg, VA", "source_name": "College of William and Mary, Williamsburg, VA", "street_adddress": "Sadler Center, 200 Stadium Dr, Williamsburg, VA 23185, USA", "lat": "37.27167400", "lng": "-76.71337800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485905"]}, {"id": "894e4376750b83b63649cc518b121f345ca0df83", "title": "Real-Time Long-Term Tracking With Prediction-Detection-Correction", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8283783"]}, {"id": "fe86ef81dcd6cdfe3a67437b53ab480557b04a71", "title": "Towards Effective Image Classification Using Class-Specific Codebooks and Distinctive Local Features", "addresses": [{"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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001714", "http://doi.org/10.1109/TMM.2014.2388312"]}, {"id": "5f0ddac97b2a3e6fb2d3f0193d346010b9265f4f", "title": "Evaluation on fusion of saliency and objectness for salient object segmentation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808510"]}, {"id": "01f26d2945c4eca35890756d114b4cba9931bf25", "title": "Transform invariant text extraction", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "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": "2013", "pdf": ["http://www.cis.pku.edu.cn/faculty/vision/zlin/Publications/2014-VP-Text.pdf"], "doi": ["http://doi.org/10.1007/s00371-013-0864-7"]}, {"id": "81825711c2aaa1b9d3ead1a300e71c4353a41382", "title": "End-to-end training of object class detectors for mean average precision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.03476.pdf"], "doi": []}, {"id": "0d517ddc86858e4068d52dd6f6df53a9a8599690", "title": "Rotation invariant power line insulator detection using local directional pattern and support vector machine", "addresses": [{"name": "SungKyunKwan University", "source_name": "SungKyunKwan University", "street_adddress": "\uc131\uade0\uad00\ub300, \ub355\uc601\ub300\ub85c, \ucc9c\ucc9c\ub3d9, \uc7a5\uc548\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16357, \ub300\ud55c\ubbfc\uad6d", "lat": "37.30031270", "lng": "126.97212300", "type": "edu", "country": "South Korea"}, {"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7856522"]}, {"id": "aa344c313e2e2820ecfe8b6edfc24eda34e0a120", "title": "One-Class Convolutional Neural Network", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8586962"]}, {"id": "0d60264bbb41ed188f852d96441f43909c3e60ee", "title": "A Feature Descriptor Based on Local Normalized Difference for Real-World Texture Classification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8061018", "http://doi.org/10.1109/TMM.2017.2760102"]}, {"id": "8cded4bbe4202ee81c2b75ebe27f839c87b0755e", "title": "Objectness to improve the bag of visual words model", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025655", "http://doi.org/10.1109/ICIP.2014.7025655"]}, {"id": "b8b11f3b458233a104fbacd3091da9c67f5ca5ed", "title": "Learning Chained Deep Features and Classifiers for Cascade in Object Detection", "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/1702.07054.pdf"], "doi": []}, {"id": "c1d1b1197667facd360196059796ab8cb7b46e96", "title": "PolyMapper: Extracting City Maps using Polygons", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01497.pdf"], "doi": []}, {"id": "ce43209fc68e51ef05fa06cc0fe6210cbd021e3f", "title": "Fused One-vs-All Features With Semantic Alignments for Fine-Grained Visual Categorization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"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"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2016%5CJournal%5C2016-TIP-CV-ZHANGXIAOPENG%5C2016-TIP-CV-02.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358138", "http://doi.org/10.1109/TIP.2015.2509425", "https://www.ncbi.nlm.nih.gov/pubmed/26685247", "https://www.wikidata.org/entity/Q38398268"]}, {"id": "4268dc438d81c9f143edb9097923709b2e7a18ca", "title": "Does Haze Removal Help CNN-based Image Classification?", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.05716.pdf"], "doi": []}, {"id": "c9abf6cb2d916262425033db12cf0181d40be7cb", "title": "Entropy-based Latent Structured Output Prediction-Supplementary materials", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c9ab/f6cb2d916262425033db12cf0181d40be7cb.pdf"], "doi": []}, {"id": "72a4390a6c3b2bc2c3e7d83fc1f99e65e6137573", "title": "Collective Activity Localization with Contextual Spatial Pyramid", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/72a4/390a6c3b2bc2c3e7d83fc1f99e65e6137573.pdf"], "doi": []}, {"id": "00c8e15cf9cbe9c68fbf00f040a632a37cd944df", "title": "Using image saliency and regions of interest to encourage stronger graphical passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Institute of Public Administration, Riyadh, Saudi Arabia", "source_name": "Institute of Public Administration, Riyadh, Saudi Arabia", "street_adddress": "Qurah Al Ayn, Ad Dhubbat\u060c Riyadh 12627, Saudi Arabia", "lat": "24.66818300", "lng": "46.72492830", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2991108"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "e1e85d811825ec56205fc0302ed2c86cbb85e10d", "title": "Training Group Orthogonal Neural Networks with Privileged Information", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.06772.pdf"], "doi": []}, {"id": "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "title": "Computer Vision and Deep Learning for Automated Surveillance Technology", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b0c92f2a619157e2bedf15abb97ed1b0b98f.pdf"], "doi": []}, {"id": "9ad0d957138db7fcad7db77bacfdd5c1c728031c", "title": "Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images", "addresses": [{"name": "Uppsala University", "source_name": "Uppsala University, Uppsala, Sweden", "street_adddress": "Uppsala, 752 36 Uppsala, Sweden", "lat": "59.85090050", "lng": "17.63000930", "type": "edu", "country": "Sweden"}, {"name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "source_name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "street_adddress": "Mahatma Gandhi Rd, A-Zone, Durgapur, West Bengal 713209, India", "lat": "23.54767280", "lng": "87.29313890", "type": "edu", "country": "India"}, {"name": "Medical College Kolkata, Kolkata, India", "source_name": "Medical College Kolkata, Kolkata, India", "street_adddress": "88, College St, Calcutta Medical College, College Square, Kolkata, West Bengal 700073, India", "lat": "22.57374630", "lng": "88.36191530", "type": "edu", "country": "India"}, {"name": "University of Hyderabad", "source_name": "University of Hyderabad, Hyderabad, India", "street_adddress": "CUC, Professor CR Rao Rd, P O, Central University, Gachibowli, Hyderabad, Telangana 500046, India", "lat": "17.45673720", "lng": "78.32638400", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-95921-4_2"]}, {"id": "3ec04a3536007433451a428e090d099c8b2a6add", "title": "Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8bdb/a247b004179b2ac105e41b61ffec57acf7e0.pdf"], "doi": []}, {"id": "02213406b3d7605a6fa08ea0cbcfc52b7cd937a1", "title": "Event-driven dynamic platform selection for power-aware real-time anomaly detection in video", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295060"]}, {"id": "ab88c48e7829029c47ac6deea5c0ccbff3614c5c", "title": "Rethinking Visual Relationships for High-level Image Understanding", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00313.pdf"], "doi": []}, {"id": "1a1c7ba2ee61c9eba57a21208fd028144dda2ce9", "title": "Double Low Rank Matrix Recovery for Saliency Fusion", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing Audit University", "source_name": "Nanjing Audit University, Nanjing, China", "street_adddress": "Gulou, Nanjing, China, 210017", "lat": "32.03902600", "lng": "118.75232100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7506073", "http://doi.org/10.1109/TIP.2016.2588331", "https://www.ncbi.nlm.nih.gov/pubmed/27392360", "https://www.wikidata.org/entity/Q50786987"]}, {"id": "f7dd25ac4f52f23b9c2fa3265c62c030527de53f", "title": "High-Order Distance-Based Multiview Stochastic Learning in Image Classification", "addresses": [{"name": "University of Technology, Australia", "source_name": "Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Hangzhou Dianzi University", "source_name": "Hangzhou Dianzi University", "street_adddress": "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "lat": "30.31255250", "lng": "120.34309460", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6774452", "http://doi.org/10.1109/TCYB.2014.2307862", "https://www.ncbi.nlm.nih.gov/pubmed/25415948", "https://www.wikidata.org/entity/Q50622554"]}, {"id": "0394acc70f58fbb6326d1fbf44e0a6da5a0345d1", "title": "Automated Recognition of Text in Images : A Survey", "addresses": [{"name": "Christ University", "source_name": "Christ University, Bangalore- 560074, India", "street_adddress": "Kengeri Campus Mysore Road Kumbalgodu, Kanmanike, Bengaluru, Karnataka 560074, India", "lat": "12.86303630", "lng": "77.43787070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0394/acc70f58fbb6326d1fbf44e0a6da5a0345d1.pdf"], "doi": []}, {"id": "81ea29bde0216e41420c4591bebb800142fa3269", "title": "Learning Active Learning from Data", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03365.pdf"], "doi": []}, {"id": "742d5b4590284b632ca043a16507fb5a459dceb2", "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"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "a289de92de2503b632efd7acc13080ab026986b7", "title": "Fine-grained object recognition in underwater visual data", "addresses": [{"name": "Aix-Marseille Universit\u00e9, Marseille, France", "source_name": "Aix-Marseille Universit\u00e9, Marseille, France", "street_adddress": "Jardin du Pharo, 58 Boulevard Charles Livon, 13007 Marseille, France", "lat": "43.29362100", "lng": "5.35806600", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}, {"name": "University of Nice Sophia Antipolis", "source_name": "I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France", "street_adddress": "Euclide B, 2000 Route des Lucioles, 06900 Sophia Antipolis, France", "lat": "43.61530240", "lng": "7.06744330", "type": "edu", "country": "France"}, {"name": "Institut Universitaire de France (IUF), Paris, France", "source_name": "Institut Universitaire de France (IUF), Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Toulon, La Garde, France", "source_name": "Universit\u00e9 de Toulon, La Garde, France", "street_adddress": "Avenue de l'Universit\u00e9, 83130 La Garde, France", "lat": "43.13765300", "lng": "6.01454500", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://sis.univ-tln.fr/~glotin/Concetto_Glotin_et_SubmarineObjectRecognition_accepted_MTAPjournal_2015.pdf"], "doi": ["http://doi.org/10.1007/s11042-015-2601-x"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "17e997e6f724f8b92c0b91ad5d7f828714a510c6", "title": "Interactive adaptation of real-time object detectors", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts at Lowell", "source_name": "EECS, University of Massachusetts at Lowell, Lowell, MA, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}, {"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}, {"name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "source_name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.drgoehring.de/bib/goehring14icra/goehring14icra-slides.pdf", "https://people.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf", "https://www.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6907018", "http://doi.org/10.1109/ICRA.2014.6907018"]}, {"id": "451ed51346fe2e6c5de2dbf29733711b31f5fd68", "title": "Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos", "addresses": [{"name": "University of Strasbourg", "source_name": "ICube UMR 7357, CNRS, University of Strasbourg, France", "street_adddress": "4 Rue Kirschleger, 67000 Strasbourg, France", "lat": "48.57744050", "lng": "7.73929500", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05573.pdf"], "doi": []}, {"id": "f8f14c0248a4974ce9a6226db81f9745a6b1ea97", "title": "Part based pedestrian detection based on Logic inference", "addresses": [{"name": "Universidad Carlos III de Madrid", "source_name": "Departamento de estad\u00edstica, Universidad Carlos III de Madrid, Barcelona, Spain", "street_adddress": "Calle Madrid, 126, 28903 Getafe, Madrid, Spain", "lat": "40.31705720", "lng": "-3.72746780", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["http://portal.uc3m.es/portal/page/portal/dpto_ing_sistemas_automatica/investigacion/lab_sist_inteligentes_old/publications/2013-ITSC-Olmeda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728421", "http://doi.org/10.1109/ITSC.2013.6728421"]}, {"id": "8339da16dced3343173fc71373012d73c9f59f8d", "title": "Scalable multi-class object detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_HoughMC_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995441", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995441", "http://doi.org/10.1109/CVPR.2011.5995441"]}, {"id": "8502c089c9affe5955810073b4c814457790065c", "title": "Learning Single-view 3D Reconstruction of Objects and Scenes", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8502/c089c9affe5955810073b4c814457790065c.pdf"], "doi": []}, {"id": "3b20082bd64d8af4041611434ef23fdef57616a8", "title": "Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks", "addresses": [{"name": "University of Stuttgart", "source_name": "University of Stuttgart", "street_adddress": "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "lat": "48.90953380", "lng": "9.18318920", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451679", "http://doi.org/10.1109/ICIP.2018.8451679"]}, {"id": "1539add5ea57fb518cb70ca6af253eec3c9d8a6f", "title": "Efficient Object Localization and Segmentation in Weakly Labeled Videos", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1539/add5ea57fb518cb70ca6af253eec3c9d8a6f.pdf"], "doi": []}, {"id": "6f2819172d270ceb568bf7586d812b298266bcbf", "title": "Edge Fields for Robust Object Proposal", "addresses": [{"name": "Samsung Electronics", "source_name": "Samsung Electronics", "street_adddress": "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "lat": "43.61294840", "lng": "-79.55903030", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6f28/19172d270ceb568bf7586d812b298266bcbf.pdf"], "doi": []}, {"id": "70cb4bdd05cccc1f99cf690582e66b7637b81da7", "title": "MBLLEN: Low-Light Image/Video Enhancement Using CNNs", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70cb/4bdd05cccc1f99cf690582e66b7637b81da7.pdf"], "doi": []}, {"id": "f23114073e0e513b1c1c55e8777bda503721718c", "title": "Dissimilarity Coefficient based Weakly Supervised Object Detection", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10016.pdf"], "doi": []}, {"id": "3f320fbdd5054961cc3766dd2b2ee22c4d4abe01", "title": "Robust object tracking via weight-based local sparse appearance model", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "Hunan City University", "source_name": "Hunan city University, Yiyang, China", "street_adddress": "Heshan, Yiyang, China", "lat": "28.54005500", "lng": "112.38758100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603234", "http://doi.org/10.1109/FSKD.2016.7603234"]}, {"id": "d68a6bf394f8f6440426a84d8494e83d08aa1535", "title": "Automatic Portrait Segmentation for Image Stylization", "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": "2016", "pdf": ["http://xiaoyongshen.me/webpage_portrait/papers/portrait_eg16.pdf"], "doi": ["https://doi.org/10.1111/cgf.12814"]}, {"id": "19d4855f064f0d53cb851e9342025bd8503922e2", "title": "Learning SURF Cascade for Fast and Accurate Object Detection", "addresses": [{"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d468.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/supp/4989d468s1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf", "https://16cbeb23-a-62cb3a1a-s-sites.googlegroups.com/site/leeplus/publications/learningsurfcascadeforfastandaccurateobjectdetection/cvsurf13.pdf?attachauth=ANoY7cprgGHyp0x1H24zmTyefmyqoRoMJFJxg9j-BM6Rh9vToSM_0gtVNgtcm7pgFG_yr6TS1gMJe7AEGilvP9MEizPWXUkP-NHn4b6wB49ETjP5XUJo93ObOe7SWdAUiCTeHWGdjA3aFjtBPOiSWteKMqeMeteYqnVW7e3NpALb8cnhR4TFfbcT82NKsxTv_XgJNenB-1UGij2Ayg0COitzW-6AVpls1e5yGDCdzMc-Ij8VgOxAWfLbiKzodL1hmPHLsrT4yM_cXV3B0vgpjQSmVzNgViA1s5cANrI-EjUTpxRczBT_RIA%3D&attredirects=3&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619289", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.445", "http://doi.org/10.1109/CVPR.2013.445"]}, {"id": "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "title": "Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "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"}, {"name": "Guizhou University", "source_name": "Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China", "street_adddress": "Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025", "lat": "26.42408400", "lng": "106.67353400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37a5/f93048cbfb74d122455531b4bc4f6e15d48f.pdf"], "doi": []}, {"id": "4be211df856e2fc0d999598ba6561a22e65997b6", "title": "Object proposal using 3D point cloud for DRC-HUBO+", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Naver Labs, Seongnam, 13561, Korea", "source_name": "Naver Labs, Seongnam, 13561, Korea", "street_adddress": "8 Gumi-ro, Gumi-dong, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", "lat": "37.33772020", "lng": "127.10965330", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7759113", "http://doi.org/10.1109/IROS.2016.7759113"]}, {"id": "965bf5726891428a2af6922ead4779c0a1331392", "title": "Image categorization using a semantic hierarchy model with sparse set of salient regions", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Second Hospital of Nanjing, Nanjing, China", "source_name": "The Second Hospital of Nanjing, Nanjing, China", "street_adddress": "1 Zhongfu Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028", "lat": "32.08824580", "lng": "118.76893790", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-013-2410-1"]}, {"id": "9825c4dddeb2ed7eaab668b55403aa2c38bc3320", "title": "Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09532.pdf"], "doi": []}, {"id": "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "title": "Divide and Count: Generic Object Counting by Image Divisions", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8488575", "http://doi.org/10.1109/TIP.2018.2875353", "https://www.ncbi.nlm.nih.gov/pubmed/30307867"]}, {"id": "108961c7366e36825ffed94ac9eab603e05b6bc6", "title": "Deep Visual-Semantic Alignments for Generating Image Descriptions", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.2306.pdf"], "doi": []}, {"id": "1b79c2e3816eead394145f2f1d12d3314431a035", "title": "Local structured representation for generic object 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"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-016-5530-6"]}, {"id": "e103a8992a9eab5c2a5e8072a0cff7f5b68959a2", "title": "Robust person head detection based on multi-scale representation fusion of deep convolution neural network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324433", "http://doi.org/10.1109/ROBIO.2017.8324433"]}, {"id": "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "title": "Zero-Shot Object Detection", "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"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04340.pdf"], "doi": []}, {"id": "e816e2bdcfc7a93355ec3f8f336bf2b05ac98b21", "title": "Locality constrained low-rank sparse learning for object tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7287991"]}, {"id": "36bce8938ce499ee1ec5783a37de6dcfaff53f5c", "title": "High-speed railway catenary components detection using the cascaded convolutional neural networks", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261459"]}, {"id": "80ab008243b5a61c8a74a0a3e2aaf702b1f906b3", "title": "Ship detection for automating navigational watch", "addresses": [{"name": "Tokyo University of Marine Science and Technology", "source_name": "Tokyo University of Marine Science and Technology, Japan", "street_adddress": "4 Chome-5-\uff17 Konan, Minato, Tokyo 108-8477, Japan", "lat": "35.62697170", "lng": "139.74764520", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6935702"]}, {"id": "ab781f035720d991e244adb35f1d04e671af1999", "title": "Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": ["https://arxiv.org/pdf/1712.07465.pdf"], "doi": []}, {"id": "e41876930495ee879b0d1cda9a85f82102884b17", "title": "Robotic arm control by fine-tuned convolutional neural network model", "addresses": [{"name": "Istanbul Teknik Universitesi", "source_name": "Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye", "street_adddress": "\u0130n\u00f6n\u00fc Caddesi, No. 65, G\u00fcm\u00fc\u015fsuyu, 34437 Beyo\u011flu/\u0130stanbul, Turkey", "lat": "41.03790740", "lng": "28.99212370", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960444", "http://doi.org/10.1109/SIU.2017.7960444"]}, {"id": "4c6421fab6f7be06f4b2a8d558dceb3ccf9426da", "title": "Fast , Deep Detection and Tracking of Birds & Nests", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c64/21fab6f7be06f4b2a8d558dceb3ccf9426da.pdf"], "doi": []}, {"id": "7d98e98e64f2622d321bd3b410a4636fce39be50", "title": "Self-Paced Cross-Modal Subspace Matching", "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": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2911527"]}, {"id": "cf8a0a9310b3c30003b65ec62fa92d8ee672f40b", "title": "Acquiring Object Experiences at Scale", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/f168/38c9f08b5e0fc3e7495b99f721f90ea6baba.pdf"], "doi": []}, {"id": "b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01", "title": "Vehicle detection and localization on bird's eye view elevation images using convolutional neural network", "addresses": [{"name": "National Cheng Kung University", "source_name": "National Cheng Kung University", "street_adddress": "\u6210\u5927, 1, \u5927\u5b78\u8def, \u5927\u5b78\u91cc, \u524d\u7532, \u6771\u5340, \u81fa\u5357\u5e02, 70101, \u81fa\u7063", "lat": "22.99919160", "lng": "120.21625134", "type": "edu", "country": "Taiwan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8088147", "http://doi.org/10.1109/SSRR.2017.8088147"]}, {"id": "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "title": "Recognition in Terra Incognita", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04975.pdf"], "doi": []}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "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": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/talk_final.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Fouhey16/fouhey16.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/talk_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780537", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.168", "http://doi.org/10.1109/CVPR.2016.168"]}, {"id": "dccd5d00f88cdb59b0680baa86024f14331c38d6", "title": "Semantic mapping of road scenes", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dccd/5d00f88cdb59b0680baa86024f14331c38d6.pdf"], "doi": []}, {"id": "0a81e5c6429a85564ba742726850109ae07dd24c", "title": "Perceptually Inspired Layout-Aware Losses for Image Segmentation", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0a81/e5c6429a85564ba742726850109ae07dd24c.pdf"], "doi": []}, {"id": "a22a8c93ae4ed518c894a8ddb348a9d0a99c1387", "title": "Deep Learning Logo Detection with Data Expansion by Synthesising Context", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.09322.pdf"], "doi": []}, {"id": "8fc3051fa78a325454c739dce3e7b77b5bf9de78", "title": "Object Detection and Its Implementation on Android Devices", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8fc3/051fa78a325454c739dce3e7b77b5bf9de78.pdf"], "doi": []}, {"id": "e55f2e7f72ab8f5ad0c0372651f35702c9d54351", "title": "Efficient object detection and segmentation with a cascaded Hough Forest ISM", "addresses": [{"name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "source_name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86208950", "lng": "4.68589230", "type": "edu", "country": "Belgium"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://europa.informatik.uni-freiburg.de/files/rematas2011corp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130356", "http://doi.org/10.1109/ICCVW.2011.6130356"]}, {"id": "bb1df923eff58177f20b2cf46318a31aa7e89143", "title": "Viewpoint-aware object detection and pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126379"]}, {"id": "121503705689f46546cade78ff62963574b4750b", "title": "We Don\u2019t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.08405.pdf"], "doi": []}, {"id": "af7310abcbac6b43ffa850be2315282185b933bc", "title": "Detection and recognition of traffic signs inside the attentional visual field of drivers", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995781", "http://doi.org/10.1109/IVS.2017.7995781", "https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=6143&context=etd"]}, {"id": "e644867bc141453d1f0387c76ff5e7f7863c5f4f", "title": "Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}, {"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10464.pdf"], "doi": []}, {"id": "e047bcb9721c36fb61df1f4d6f7de83f290ec1d4", "title": "Flower classification: Training augmentation using manifold images", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358870", "http://doi.org/10.1109/URAI.2015.7358870"]}, {"id": "0083a395fded81d562317d83e194dfbc47b5c04a", "title": "AT&T Research at TRECVID 2010", "addresses": [{"name": "University Park", "source_name": "Pennsylvania State University, University Park, 16802, USA", "street_adddress": "PENN ST UNIV, PA 16802, USA", "lat": "40.80840750", "lng": "-77.86388350", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/955f/e9a0ba02d82e469c5e719bbde9a5f14a3d32.pdf"], "doi": []}, {"id": "95a1d94880f3466e62cb5e0947e041aba6d02456", "title": "Sparse coding based airport detection from medium resolution Landsat-7 satellite remote sensing images", "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"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6927883"]}, {"id": "30654fd93360a339e271d4b194b7f7463b2c5dac", "title": "COSTA: Co-Occurrence Statistics for Zero-Shot Classification", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Mensink_COSTA_Co-Occurrence_Statistics_2014_CVPR_paper.pdf", "https://computing.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://filebox.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2014/MensinkCVPR2014/MensinkCVPR2014.pdf", "https://pure.uva.nl/ws/files/17209170/MensinkCVPR2014.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/mensink14cvpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909709", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.313", "http://doi.org/10.1109/CVPR.2014.313"]}, {"id": "fa11e3517ed9b08ca1d0dcca2cc5bc3a6ada9fcb", "title": "The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics", "addresses": [{"name": "University of Applied Sciences Western Switzerland", "source_name": "Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland", "street_adddress": "Fili\u00e8re Economie d'entreprise, Case postale 80, Rue de la Plaine 2, 3960 Sierre, Switzerland", "lat": "46.29278120", "lng": "7.53618900", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7320041", "http://doi.org/10.1109/EMBC.2015.7320041", "https://www.ncbi.nlm.nih.gov/pubmed/26737941", "https://www.wikidata.org/entity/Q40136711"]}, {"id": "6941b32d99ddf46e9ccea39a5a32d2133801fabb", "title": "Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network", "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": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6941/b32d99ddf46e9ccea39a5a32d2133801fabb.pdf"], "doi": []}, {"id": "02d9d571980ec2f8d28011a5ad33820d3585755b", "title": "Understanding CNN via deep features analysis", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282184", "http://doi.org/10.1109/APSIPA.2017.8282184"]}, {"id": "1bb0dd8d349cdb1bbc065f1f0e111a8334072257", "title": "Structured Output Learning with High Order Loss Functions", "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": "2012", "pdf": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12a.pdf", "http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12aSupple.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2012_TarlowZ12.pdf", "http://proceedings.mlr.press/v22/tarlow12a/tarlow12aSupple.pdf", "http://www.cs.toronto.edu/~dtarlow/tarlow_zemel_aistats12.pdf"], "doi": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a.html"]}, {"id": "6341274aca0c2977c3e1575378f4f2126aa9b050", "title": "A multi-scale cascade fully convolutional network face detector", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03536.pdf"], "doi": []}, {"id": "282cee05661a690aa525f21b47c6ee39fb26a7c2", "title": "Build a Robust Learning Feature Descriptor by Using a New Image Visualization Method for Indoor Scenario Recognition", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/282c/ee05661a690aa525f21b47c6ee39fb26a7c2.pdf"], "doi": []}, {"id": "182c91f619e0b7a8cd2120139d530750aa0b85a7", "title": "Compressing the Input for CNNs with the First-Order Scattering Transform", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10200.pdf"], "doi": []}, {"id": "886674a5abae3c9bfd262006c67d4ba078e1462b", "title": "A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}, {"name": "Mokpo National University", "source_name": "Mokpo National University, Republic of Korea", "street_adddress": "1666 Yeongsan-ro, Cheonggye-myeon, Muan, Jeollanam-do, South Korea", "lat": "34.91041940", "lng": "126.43608070", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8866/74a5abae3c9bfd262006c67d4ba078e1462b.pdf"], "doi": []}, {"id": "013d5325e1225456de011bee0f45c5bfec872e9d", "title": "ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition", "addresses": [{"name": "Chalearn, Berkeley, California, USA", "source_name": "Chalearn, Berkeley, California, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}, {"name": "Computer Vision Center (UAB), Spain", "source_name": "Computer Vision Center (UAB), Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona - CVC, Spain", "source_name": "Universitat de Barcelona - CVC, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona, Spain", "source_name": "Universitat de Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301329", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301329", "http://doi.org/10.1109/CVPRW.2015.7301329"]}, {"id": "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "title": "End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "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"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51f5/e7b847e65a4cd0634ed9efc6b19819742b70.pdf"], "doi": []}, {"id": "9974ff5429696e815a3c1532577ff4c233b22490", "title": "A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation", "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": "Tencent AI Laboratory, Shenzhen, China", "source_name": "Tencent AI Laboratory, Shenzhen, 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": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371617", "http://doi.org/10.1109/LSP.2018.2844097"]}, {"id": "fe7ae13bf5fc80cf0837bacbe44905bd8749f03f", "title": "Deep Coupled Metric Learning for Cross-Modal Matching", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Deep%20coupled%20metric%20learning%20for%20cross-modal%20matching.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801952", "http://doi.org/10.1109/TMM.2016.2646180"]}, {"id": "062723093e77d942471a77f1a89614d05216a275", "title": "DAVE: A Unified Framework for Fast Vehicle Detection and Annotation", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04564.pdf"], "doi": []}, {"id": "62ee1385725c508cdb64a8318d2e07bddf8b5832", "title": "Shape-based Image Correspondence", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/62ee/1385725c508cdb64a8318d2e07bddf8b5832.pdf"], "doi": []}, {"id": "309e17462a9cd4ebd540b4218600e97b688c3779", "title": "Mouse Behavior Recognition with The Wisdom of", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6185/5e2eb545c227aeced67d2c1e71e3211c3e0c.pdf"], "doi": []}, {"id": "8043117df3fab932c715f2361f1a8bf0f45755dc", "title": "Efficient Correlation Tracking via Center-Biased Spatial Regularization", "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"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434348", "http://doi.org/10.1109/TIP.2018.2865278", "https://www.ncbi.nlm.nih.gov/pubmed/30106730"]}, {"id": "d49bd0ae6f7c85331f06bbcc36088c621a17922b", "title": "CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-014-0236-5"]}, {"id": "0ab65b963f8b71e31bfec188056023147f75303e", "title": "SPNet: Superpixel Pyramid Network for Scene Parsing", "addresses": [{"name": "Beijing University of Technologyy", "source_name": "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "street_adddress": "Chaoyang, China, 100124", "lat": "39.87161100", "lng": "116.47952900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623025"]}, {"id": "3e64282d305b77b39b02e820cfcba2f1e5544793", "title": "Boosted multi-class object detection with parallel hardware implementation for real-time applications", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p7580-chiu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6855064", "http://doi.org/10.1109/ICASSP.2014.6855064"]}, {"id": "2c03ba51f7404d8d9869a997a00f6af801149ac1", "title": "Adaptive spatio-temporal context learning for visual target tracking", "addresses": [{"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}, {"name": "Yazd University", "source_name": "Yazd University, Iran", "street_adddress": "Yazd Province, Yazd, Safaeih\u060c Iran", "lat": "31.83409280", "lng": "54.35699650", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8342331"]}, {"id": "895c5a6f2915d95d518e78d6a0224dad7399492b", "title": "Beyond Bounding Boxes: Precise Localization of Objects in Images", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b43d/d1c7c058831ba3f242997e7743425325b0bd.pdf"], "doi": []}, {"id": "02b6acd8d1f2a5833a29b52766776fd70b3dbb56", "title": "Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels", "addresses": [{"name": "Nokia Technologies, Tampere, Finland", "source_name": "Nokia Technologies, Tampere, Finland", "street_adddress": "Tampere, Finland", "lat": "61.49775240", "lng": "23.76095350", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09558.pdf"], "doi": []}, {"id": "428f087b10141cbd4d827b1df734ace473548e87", "title": "SRIKANTHA , GALL : HUMAN POSE AS CONTECT FOR OBJECT DETECTION 3 3 Object Detection", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/428f/087b10141cbd4d827b1df734ace473548e87.pdf"], "doi": []}, {"id": "9bd9050c53d90dfa86cb22501812afe6fc897406", "title": "Fine-Grained and Layered Object Recognition", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}, {"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9bd9/050c53d90dfa86cb22501812afe6fc897406.pdf"], "doi": []}, {"id": "d0c1cdb4ac772026d6c87a132a6a11a15c91d7a8", "title": "Augmented Kernel Matrix vs Classifier Fusion for Object Recognition", "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"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/eabc/91ea4dccd1850ce0e38f0c379770bd411a18.pdf"], "doi": []}, {"id": "23a44db65ff4913289a3a93fb8c85072ae9d007e", "title": "Biologically Inspired Media Quality Modeling", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806255"]}, {"id": "f852d7ff0b1ade73fdb2dc43578cf414a6c57cab", "title": "Deep learning on small datasets using online image search", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2948633"]}, {"id": "e84973cf0337de616f394df06087989a75a0df3e", "title": "ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09585.pdf"], "doi": []}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "2d5589ad3a228670eac7251b6508cb326793051c", "title": "A comparison of late fusion methods for object detection", "addresses": [{"name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "source_name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "street_adddress": "Sandtorstra\u00dfe 22, 39106 Magdeburg, Germany", "lat": "52.13925980", "lng": "11.65195280", "type": "company", "country": "Germany"}], "year": "2013", "pdf": ["http://www2.informatik.hu-berlin.de/~knauer/Publikationen/knauer2013c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738679", "http://doi.org/10.1109/ICIP.2013.6738679"]}, {"id": "f678f31e7bb5eda34098b0fed608cfad5e372509", "title": "Discriminative Kernel Feature Extraction and Learning for Object Recognition and Detection", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f678/f31e7bb5eda34098b0fed608cfad5e372509.pdf"], "doi": []}, {"id": "df0e280cae018cebd5b16ad701ad101265c369fa", "title": "Deep Attributes from Context-Aware Regional Neural Codes", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02470.pdf"], "doi": []}, {"id": "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "title": "High performance and fast object detection in road environments", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310148", "http://doi.org/10.1109/IPTA.2017.8310148"]}, {"id": "2f98d667cdd7e59fd3f2de638bb286d6250c8900", "title": "Weakly Supervised One-Shot Detection with Attention Similarity Networks", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03329.pdf"], "doi": []}, {"id": "392589e60f203b19b1d314ff1005182a668c594b", "title": "Learning Joint Multimodal Representation with Adversarial Attention Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240614"]}, {"id": "66586f1d755362f485f25acfc60153c2a5ed1533", "title": "A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images", "addresses": [{"name": "University of Norway", "source_name": "University of Norway, P.O. Box 114 Blindern, NO-0314, Troms\u00d8, Norway", "street_adddress": "Troms\u00f8, Norway", "lat": "69.64920470", "lng": "18.95532390", "type": "edu", "country": "Norway"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8518533", "http://doi.org/10.1109/IGARSS.2018.8518533"]}, {"id": "775461c0ed08a24cdaeca8975fadfc9846d509fe", "title": "Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.04042.pdf"], "doi": []}, {"id": "3af130e2fd41143d5fc49503830bbd7bafd01f8b", "title": "How Do We Evaluate the Quality of Computational Editing Systems", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": []}, {"id": "2851efe83633a1c80272ba2c9302a1333dd32523", "title": "Understanding and localizing activities from correspondences of clustered trajectories", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze", "source_name": "Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy", "street_adddress": "Via di Santa Marta, 3, 50139 Firenze FI, Italy", "lat": "43.79849010", "lng": "11.25302550", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://www.micc.unifi.it/wp-content/uploads/2017/01/1-s2.0-S1077314216301965-main.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.11.007"]}, {"id": "094f5e36dae2602e179f2c1d95a616df3dbe967f", "title": "Bilinear classifiers for visual recognition", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/094f/5e36dae2602e179f2c1d95a616df3dbe967f.pdf"], "doi": []}, {"id": "7791ce332eb0e9b5e1f839c62a9b8cf5bfd51110", "title": "Local Image Descriptor: Modern Approaches", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-662-49173-7"]}, {"id": "da53cd51d9d4d047f10144233ad925133ad43207", "title": "Multimodal Social Media Analysis for Gang Violence Prevention", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08465.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "c11a2501204e9e7c4a53d8a3c87055b2b11c73df", "title": "Adaptive Learning Algorithms for Transferable Visual Recognition", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c11a/2501204e9e7c4a53d8a3c87055b2b11c73df.pdf"], "doi": []}, {"id": "c55f15ffdd01c526624626ea94ae90263ee86fee", "title": "Multi-sensors people detection system for heavy machines", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957798", "http://doi.org/10.1109/ITSC.2014.6957798"]}, {"id": "e8def76dd702df44b0e1af7dbc0360bb7ef14562", "title": "Rendering Physically Correct Raindrops on Windshields for Robustness Verification of Camera-based Object Recognition", "addresses": [{"name": "University of T\u00fcbingen", "source_name": "University of T\u00fcbingen", "street_adddress": "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "lat": "48.52947820", "lng": "9.04377400", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500494", "http://doi.org/10.1109/IVS.2018.8500494"]}, {"id": "838420cebfdad4e93221f8fe203c09155983141a", "title": "Subspace Alignment Based Domain Adaptation for RCNN Detector", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.05578.pdf"], "doi": []}, {"id": "748305f0b2d686d51ccf893207697d6cfb39e890", "title": "COVER LOCALIZATION IN AERIAL IMAGES WITH A DEEP LEARNING APPROACH", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7483/05f0b2d686d51ccf893207697d6cfb39e890.pdf"], "doi": []}, {"id": "15c820aea3dba1902485f34f635e13f69204e501", "title": "Object tracking using 2DLPP manifold learning", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6915971"]}, {"id": "5c7964b57fcac612dc18e27e18f98eeba9404707", "title": "Fusing visual and range imaging for object class recognition", "addresses": [{"name": "General Motors Advanced Technical Center, Herzliya, Israel", "source_name": "General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel", "street_adddress": "46733, HaMada St 7, Herzliya, Israel", "lat": "32.16659230", "lng": "34.81274680", "type": "company", "country": "Israel"}, {"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": "2011", "pdf": ["http://www.researchgate.net/profile/Aharon_Bar_hillel/publication/221109977_Fusing_visual_and_range_imaging_for_object_class_recognition/links/0fcfd505985047018a000000.pdf", "https://740f0a9b-a-62cb3a1a-s-sites.googlegroups.com/site/aharonbarhillel/Fusion_ICCV2011.pdf?attachauth=ANoY7cqh0aiOE_NJSnkxPUgHiRXPjpmSRFaM58Kcrv56pJaVZRwlMwoboaMbJIxNA9dagRkz2dr74VkTYs4gr1yjZgW5fMUZOMbTyOYU1DG4V5tef3xzTOLTVoQDVlBNeN8zVX3UCCijr73jsm77aRBdXo6Bwj7axlN5UbiT6O-wjDLLm4BMGxRm-yyGXisuz8Fz96C89JQV3SEPWqJphcRyUTmW_07W-EVPEK3sJp288fQ4JyySGKE%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126226", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126226", "http://doi.org/10.1109/ICCV.2011.6126226"]}, {"id": "cc6983184d5a1ae077deab222ecd381cd44410ea", "title": "Adaptive visual tracking with reacquisition ability for arbitrary objects", "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": "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": "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": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631254", "http://doi.org/10.1109/ICRA.2013.6631254"]}, {"id": "263ab80451b236c27675ca4c6aff5c72fef77f4b", "title": "ExFuse: Enhancing Feature Fusion for Semantic Segmentation", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03821.pdf"], "doi": []}, {"id": "51a09f0305a0cdd48ccaac070363c71bc2c49938", "title": "Improving public datasets markings' quality using unsupervised refinement kernels", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3205862"]}, {"id": "f6e00d6430cbbaa64789d826d093f7f3e323b082", "title": "Visual Object Recognition", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5255/490925aa1e01ac0b9a55e93ec8c82efc07b7.pdf"], "doi": []}, {"id": "f8a38c8aa9d2f9f2db64fcc98f5b4770551d70f2", "title": "Top-Down Saliency Detection via Contextual Pooling", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese 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": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11265-013-0768-9"]}, {"id": "b6dc1cd3cabdfea7363d41773a315a0d241dc836", "title": "Local Context Priors for Object Proposal Generation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b6dc/1cd3cabdfea7363d41773a315a0d241dc836.pdf"], "doi": []}, {"id": "ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083", "title": "Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04606.pdf"], "doi": []}, {"id": "fd80b1b1a3509e616af97a181d82c6cdf7ba4721", "title": "Hierarchical Parsing Net: Semantic Scene Parsing From Global Scene to Objects", "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": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8306891", "http://doi.org/10.1109/TMM.2018.2812600"]}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}, {"id": "c4fe488c0cff49e1ed6de1425ede27900005fd87", "title": "Multi-scale Location-Aware Kernel Representation for Object Detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00428.pdf"], "doi": []}, {"id": "5250f319cae32437489bb97b2ed9a1dc962d4d39", "title": "Computational Baby Learning.", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.2861.pdf"], "doi": []}, {"id": "1c8897aaac36c9f96b86b4e6d412e91512429cde", "title": "Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04924.pdf"], "doi": []}, {"id": "e70360dec906df73e7de268b801b51296f55471e", "title": "Object detection based on ensemble of exemplars", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7280164"]}, {"id": "e5a0e119ce4925a55910dcf0b5667ab551f8cdf1", "title": "Segmentation Free Object Discovery in Video", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00221.pdf"], "doi": []}, {"id": "3a4c70ca0bbd461fe2e4de3448a01f06c0217459", "title": "Accurate Vision-based Vehicle Localization using Satellite Imagery", "addresses": [{"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.09171.pdf"], "doi": []}, {"id": "3d61a6834371ef08f25f5eeea615808380e109e2", "title": "Robust Visual Tracking Using Exemplar-Based Detectors", "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"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368904", "http://doi.org/10.1109/TCSVT.2015.2513700"]}, {"id": "0678a8abea82793993cd89383319da75f6dc4be3", "title": "ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03776.pdf"], "doi": []}, {"id": "12017d411ad5db2fce87eee19540ba22dc87bdf1", "title": "People detection in heavy machines applications", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c1fb/fe7118c36d76f05b5bfe4a296510d35ec111.pdf", "https://www.researchgate.net/profile/Vincent_Fremont/publication/271462952_People_Detection_in_Heavy_Machines_Applications/links/5536237d0cf268fd00160d5c.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751572", "http://doi.org/10.1109/ICCIS.2013.6751572", "https://hal.archives-ouvertes.fr/hal-00936283/document"]}, {"id": "f89894944bd4cb871b722f0fbcb32fbe866c5bb7", "title": "Bio-inspired heterogeneous architecture for real-time pedestrian detection applications", "addresses": [{"name": "Universite Blaise Pascal, Clermont Ferrand, France", "source_name": "Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "Grenoble Alpes University", "source_name": "Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France", "street_adddress": "Maison Jean Kuntzmann, Saint-Martin-d'H\u00e8res, 110 Rue de la Chimie, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19364880", "lng": "5.76946150", "type": "edu", "country": "France"}, {"name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "source_name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "street_adddress": "1, Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925890", "lng": "10.42400630", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-016-0581-3", "https://hal.archives-ouvertes.fr/hal-01298676/document"]}, {"id": "d67e2f60c55884e34fa8e2a154ae12b5983c90e7", "title": "Delivering Deep Learning to Mobile Devices via Offloading", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3097903"]}, {"id": "8a382f000f98cdab7f7b79e543c75c6b8f93b6f9", "title": "Learning Semantic Image Representations at a Large Scale", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a38/2f000f98cdab7f7b79e543c75c6b8f93b6f9.pdf"], "doi": []}, {"id": "250466b42c0b690724c4d2c7ff61ecae489be356", "title": "Recognizing Products: A Per-exemplar Multi-label Image Classification Approach", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://people.inf.ethz.ch/mageorge/eccv14/marian_george_eccv_2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900440.pdf", "http://www.vs.inf.ethz.ch/publ/papers/mageorge_products_eccv2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_29"]}, {"id": "7d35fe4f4a932d7598d94d64b72cfa7e6a70286d", "title": "Experimental Evaluation of Multiplicative Kernel SVM Classifiers for Multi-Class Detection", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7d35/fe4f4a932d7598d94d64b72cfa7e6a70286d.pdf"], "doi": []}, {"id": "a887937b813f267507203d4faef1013043cf09d0", "title": "Automatic Process to Build a Contextualized Detector", "addresses": [{"name": "Blaise Pascal University", "source_name": "Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5891/b87c0eecd76f067c5bafd9cd0702ac6d2fc7.pdf"], "doi": []}, {"id": "a63104ad235f98bc5ee0b44fefbcdb49e32c205a", "title": "Has my algorithm succeeded? an evaluator for human pose estimators", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/Jammalamadaka12eccv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/jammalamadaka12a.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/poster.pdf", "https://www.research.ed.ac.uk/portal/files/17289840/Jammalamadaka_et_al_2012_Has_my_Algorithm_Succeeded.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_9"]}, {"id": "2ca5f4ffcc2dc75422e1ed0a9d848280d82ad626", "title": "Attacking Object Detectors via Imperceptible Patches on Background", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05966.pdf"], "doi": []}, {"id": "dcd283758d77ae5c99d5ecf69e6258c22dd2572c", "title": "Scale-aware multi-level guidance for interactive instance segmentation", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02967.pdf"], "doi": []}, {"id": "1ba7a9c0e658a0d98253f999bf43c2e98c07f4e0", "title": "Real-time visual tracking using compressive sensing", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Chunhua_Shen2/publication/221364339_Real-time_visual_tracking_using_compressive_sensing/links/02e7e5302b5360486e000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995483", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995483", "http://doi.org/10.1109/CVPR.2011.5995483"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "75d0a8e80a75312571951144aaa2d5dd5ae30e43", "title": "Polar Transformation on Image Features for Orientation-Invariant Representations", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}, {"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"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": "2019", "pdf": ["http://eprints.whiterose.ac.uk/132227/1/TMM_camera_ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411338", "http://doi.org/10.1109/TMM.2018.2856121"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "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": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "2d3ad5b92b7514ec114102035322d3953e1fbbd8", "title": "Outlining Objects for Interactive Segmentation on Touch Devices", "addresses": [{"name": "CNRS - IRIT, Toulouse, France", "source_name": "CNRS - IRIT, Toulouse, France", "street_adddress": "Avenue de l'\u00e9tudiant, 31400 Toulouse, France", "lat": "43.56198480", "lng": "1.46798510", "type": "edu", "country": "France"}, {"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123409"]}, {"id": "6035b7f0ddfe618afef72d5f70e4a0dfd11deeb4", "title": "Automated Military Vehicle Detection from Low-Altitude Aerial Images", "addresses": [{"name": "National University of Sciences and Technology", "source_name": "National University of Sciences and Technology", "street_adddress": "National University of Sciences and Technology (NUST), Kashmir Highway, \u062c\u06cc - 10, ICT, \u0648\u0641\u0627\u0642\u06cc \u062f\u0627\u0631\u0627\u0644\u062d\u06a9\u0648\u0645\u062a \u0627\u0633\u0644\u0627\u0645 \u0622\u0628\u0627\u062f, 44000, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "33.64434700", "lng": "72.98850790", "type": "edu", "country": "Pakistan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615865"]}, {"id": "8b06d12795c1714960cc0db17687777aad28ab42", "title": "Pedestrian detection in digital videos using committee of motion feature extractors", "addresses": [{"name": "Universidad Nacional de Mar del Plata, Argentina", "source_name": "Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina", "street_adddress": "De\u00e1n Funes 3350, B7602AYL Mar del Plata, Buenos Aires, Argentina", "lat": "-38.00537090", "lng": "-57.57090000", "type": "edu", "country": "Argentina"}, {"name": "Universidade de Pernambuco (UPE), Recife, Brazil", "source_name": "Universidade de Pernambuco (UPE), Recife, Brazil", "street_adddress": "Av. Gov. Agamenon Magalh\u00e3es - Santo Amaro, Recife - PE, 50100-010, Brazil", "lat": "-8.04406030", "lng": "-34.88611670", "type": "edu", "country": "Brazil"}, {"name": "Universidade de Pernambuco, Brazil", "source_name": "Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil", "street_adddress": "Palmares - State of Pernambuco, 55540-000, Brazil", "lat": "-8.66529440", "lng": "-35.56880500", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285714", "http://doi.org/10.1109/LA-CCI.2017.8285714"]}, {"id": "bb6548b43c737dca642298c46ec4648a403e1b11", "title": "A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569822", "http://doi.org/10.1109/ITSC.2018.8569822"]}, {"id": "aeb2f8e94b8e7f90327fbda3e6eea7313c9ec2e0", "title": "Coupled-layer based visual tracking via adaptive kernelized correlation filters", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-016-1310-4"]}, {"id": "7dfc24b8e21fa7a397d5557574efedd218864d10", "title": "Robust Visual Tracking Via Consistent Low-Rank Sparse Learning", "addresses": [{"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "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 California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv14_clrst.pdf", "http://vision.ai.illinois.edu/publications/zhangijcv2015.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0738-0"]}, {"id": "d7a042c4db29e233861bc556fd763ca608ae078c", "title": "Multi-view object instance recognition in an industrial context", "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"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7a0/42c4db29e233861bc556fd763ca608ae078c.pdf"], "doi": []}, {"id": "50953b9a15aca6ef3351e613e7215abdcae1435e", "title": "Learning coarse-to-fine sparselets for efficient object detection and scene classification", "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"}], "year": "2015", "pdf": ["http://sunw.csail.mit.edu/papers/63_Cheng_SUNw.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Cheng_Learning_Coarse-to-Fine_Sparselets_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298721", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298721", "http://doi.org/10.1109/CVPR.2015.7298721"]}, {"id": "ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe", "title": "Image smoothing via unsupervised learning", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1811.02804.pdf"], "doi": []}, {"id": "8fff5963fe480124d4df4cb6bfcf3aa8dfb34101", "title": "RTSeg: Real-Time Semantic Segmentation Comparative Study", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02758.pdf"], "doi": []}, {"id": "ac6dc2eb153f886ef19429a84de41b6ffed0270a", "title": "Exploiting language models to recognize unseen actions", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2461504"]}, {"id": "397bfda299f789f0c84bf284a868b9ca005c7f84", "title": "Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery", "addresses": [{"name": "German Aerospace Center", "source_name": "Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany", "street_adddress": "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "lat": "48.08342380", "lng": "11.27563320", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02700.pdf"], "doi": []}, {"id": "53d446afc33bd7cf1c9d5d24ab41c0ad6af1fc3c", "title": "An optimized target tracking algorithm of online boosting", "addresses": [{"name": "Air Force Engineering University", "source_name": "Air Force Engineering University, Xi\u2019an, China", "street_adddress": "Baqiao, Xi'an, Shaanxi, China", "lat": "34.27379700", "lng": "109.03617100", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6986234"]}, {"id": "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "title": "Accurate real-time people counting for crowded environments", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ae5b/2b449f59ae0f46f6a31ed4826d98241c394c.pdf"], "doi": []}, {"id": "a1fd80d41c39f61b1f82f20e71b5ad4323dc9bd7", "title": "Fine-grained object recognition with Gnostic Fields", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.chriskanan.com/wp-content/uploads/Kanan_WACV_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836122", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836122", "http://doi.org/10.1109/WACV.2014.6836122"]}, {"id": "a13dac9255dd738932f463a8f462c11419f072db", "title": "Use of Generative Adversarial Network for Cross-Domain Change Detection", "addresses": [{"name": "University of Fukui", "source_name": "Faculty of Engineering, University of Fukui, Japan", "street_adddress": "3 Chome-9-\uff11 Bunkyo, Fukui, Fukui Prefecture 910-8507, Japan", "lat": "36.07509890", "lng": "136.21222390", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08868.pdf"], "doi": []}, {"id": "fab39542b04d5aac48349e456cdb300e7786ee6b", "title": "Object recognition and retrieval by context dependent similarity kernels", "addresses": [{"name": "Certis, Lab, ENPC ParisTech, France", "source_name": "Certis, Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "UMR 5141, LTCI, Telecom ParisTech, France", "source_name": "UMR 5141, LTCI, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CBMI08.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4564949", "http://doi.org/10.1109/CBMI.2008.4564949"]}, {"id": "0ae427cc645162f1a110ffce7b94cd9400138527", "title": "Decentralized Dictionary Learning Over Time-Varying Digraphs Decentralized Dictionary Learning Over Time-Varying Digraphs", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0ae4/27cc645162f1a110ffce7b94cd9400138527.pdf"], "doi": []}, {"id": "cd7551569c460c19139377a90d554b57b506b831", "title": "Multi-pose face detection for accurate face logging", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460662", "http://ieeexplore.ieee.org/document/6460662/"]}, {"id": "812e11fc86e5d183337257978e5a0f26b5668218", "title": "Evaluating ResNeXt Model Architecture for Image Classification", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08700.pdf"], "doi": []}, {"id": "fe683e48f373fa14c07851966474d15588b8c28b", "title": "Hinge-Minimax Learner for the Ensemble of Hyperplanes", "addresses": [{"name": "University of Haifa", "source_name": "University of Haifa", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.76162915", "lng": "35.01986304", "type": "edu", "country": "Israel"}, {"name": "Technion - Israel Institute of Technology", "source_name": "Technion - Israel Institute of Technology", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe68/3e48f373fa14c07851966474d15588b8c28b.pdf"], "doi": []}, {"id": "0228089cf7ae696e946c2cfe757a7c401e5f38f1", "title": "Tooth guard: A vision system for detecting missing tooth in rope mine shovel", "addresses": [{"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://jvbsoares.files.wordpress.com/2016/03/tooth_guard_wacv_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477594", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477594", "http://doi.org/10.1109/WACV.2016.7477594"]}, {"id": "70f6ef15237f3b3f563712a6d269f4a4a17f0af0", "title": "Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation", "addresses": [{"name": "University of Technology at Sydney", "source_name": "Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "source_name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "street_adddress": "Nanshan, Shenzhen, China, 518057", "lat": "22.52743800", "lng": "113.94856500", "type": "company", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303903", "http://doi.org/10.1109/TCSVT.2015.2493500"]}, {"id": "15870e306ac1f8969b9ddf3cc84d59d21acd7cdc", "title": "OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}, {"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": "2010", "pdf": ["http://eprints.pascal-network.org/archive/00007016/01/10olcv.pdf", "http://francesco.orabona.com/papers/10olcv.pdf", "http://mercurio.srv.di.unimi.it/~cesabian/Pubblicazioni/OM-2.pdf", "http://publications.idiap.ch/downloads/papers/2011/Luo_CVPR-OLCV_2010.pdf", "http://publications.idiap.ch/downloads/reports/2010/Luo_Idiap-RR-06-2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543766", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543766", "http://doi.org/10.1109/CVPRW.2010.5543766"]}, {"id": "ddb561cbdc1e8d76e88679c115f277effde4db8d", "title": "Human-like Clustering with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05048.pdf"], "doi": []}, {"id": "8db60e5196657c4f6188ffee3d2a48d188014f6d", "title": "Realtime multi-aircraft tracking in aerial scene with deep orientation network", "addresses": [{"name": "Military Technical College, Cairo, Egypt", "source_name": "Military Technical College, Cairo, Egypt", "street_adddress": "Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.08042180", "lng": "31.29625750", "type": "mil", "country": "Egypt"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0780-1"]}, {"id": "c2be82ed0db509087b08423c8cf39ab3c36549c3", "title": "Pixel-level guided face editing with fully convolution networks", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019363", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019363", "http://doi.org/10.1109/ICME.2017.8019363"]}, {"id": "92ed396feb11d18d9bd05ed1f5ea326ba3b16425", "title": "A visual target tracking algorithm based on improved Kernelized Correlation Filters", "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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7558560"]}, {"id": "33e845e18acbf54ad2e031efe68493d07d7deb61", "title": "Can Diversity amongst Learners Improve Online Object Tracking", "addresses": [{"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2013", "pdf": ["http://gnebehay.com/publications/mcs_2013/mcs_2013.pdf", "http://www.epics-project.eu/publications/2013_nebehay_lncs.pdf", "https://www.gnebehay.com/publications/mcs_2013/mcs_2013.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38067-9_19"]}, {"id": "448ff117f216bba80080ad56851d7dc6bb5e22bd", "title": "Is my new tracker really better than yours?", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836055", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836055", "http://doi.org/10.1109/WACV.2014.6836055"]}, {"id": "26c58e24687ccbe9737e41837aab74e4a499d259", "title": "Codemaps - Segment, Classify and Search Objects Locally", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Centrum Wiskunde & Informatica, Amsterdam, The Netherlands", "source_name": "Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Li_Codemaps_-_Segment_2013_ICCV_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2013/LiICCV2013/LiICCV2013.pdf", "https://staff.fnwi.uva.nl/z.li2/pub/li_codemaps_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751376", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.454", "http://doi.org/10.1109/ICCV.2013.454"]}, {"id": "3abb03b50ed38487ba122bb0330ea7217f6f49c2", "title": "Semantic segmentation priors for object discovery", "addresses": [{"name": "Catchoom, Barcelona, Spain", "source_name": "Catchoom, Barcelona, Spain", "street_adddress": "Rambla de Catalunya, 123, 08006 Barcelona, Spain", "lat": "41.39476070", "lng": "2.15811140", "type": "edu", "country": "Spain"}, {"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}, {"name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "source_name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "street_adddress": "C/ Llorens i Artigas 4-6, 08028 Barcelona, Spain", "lat": "41.38295500", "lng": "2.11573820", "type": "edu", "country": "Spain"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.ais.uni-bonn.de/papers/ICPR_2016_Martin.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899691", "http://doi.org/10.1109/ICPR.2016.7899691"]}, {"id": "39223c8e64221062cd992e7e89e6db858014eac1", "title": "Progressive Recurrent Learning for Visual Recognition", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12047.pdf"], "doi": []}, {"id": "750896331f6d74495037f6c8f6c821b0c50ee44e", "title": "Deconstructing the Deformable Parts Model : Do More with Less", "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": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca09/b434e55db0f5772be7638afa3bd8f785a199.pdf"], "doi": []}, {"id": "778b73effb652ab54c17de194e7ed38f58e5b5be", "title": "Measuring and increasing the capacity of Natural HOG Statistics", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/778b/73effb652ab54c17de194e7ed38f58e5b5be.pdf"], "doi": []}, {"id": "cb05bb5397e077aff7bac3ee26eaabed2779e914", "title": "Deep Learning based Vehicle Detection in Aerial Imagery", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cb05/bb5397e077aff7bac3ee26eaabed2779e914.pdf"], "doi": []}, {"id": "f99a2beca1e85015af62f728b70dc48be93a3c29", "title": "Cross-Modal Learning to Rank with Adaptive Listwise Constraint", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001658.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462599", "http://doi.org/10.1109/ICASSP.2018.8462599"]}, {"id": "eecc4466056761ba6d4909cfd7928de90af140d7", "title": "Dense and Sparse Labeling With Multidimensional Features for Saliency Detection", "addresses": [{"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7802636", "http://doi.org/10.1109/TCSVT.2016.2646720"]}, {"id": "6a64ac585cf7150253c690ed62bc92fb2894a347", "title": "Traffic congestion judgment based on linear spatial pyramid matching using sparse coding", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975892", "http://doi.org/10.1109/ICNC.2014.6975892"]}, {"id": "c0e25fb09fc844a8b7002a0a4ae4d6f13c287537", "title": "CSPS: An Adaptive Pooling Method for Image Classification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://media.pkusz.edu.cn/images/papers/%E5%8F%91%E8%A1%A8-CSPS_An_adaptive_pooling_method_for_Image.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7436795", "http://doi.org/10.1109/TMM.2016.2544099"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "People\u2019s Public Security University of China", "source_name": "People\u2019s Public Security University of China, Beijing, China", "street_adddress": "Changping, Beijing, China, 102202", "lat": "40.12794800", "lng": "116.27810200", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8467369", "http://doi.org/10.1109/TIP.2018.2870946", "https://www.ncbi.nlm.nih.gov/pubmed/30235130"]}, {"id": "7caa3a74313f9a7a2dd5b4c2cd7f825d895d3794", "title": "Markov Chain Monte Carlo for Automated Face Image Analysis", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-016-0967-5"]}, {"id": "e083d6f5084d8a8582af797999185c4e0d2c841a", "title": "R-CNNs for Pose Estimation and Action Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5212.pdf"], "doi": []}, {"id": "446154e26359e7f8fd2f314cca44c1e20da02ac3", "title": "DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06783.pdf"], "doi": []}, {"id": "18ccd8bd64b50c1b6a83a71792fd808da7076bc9", "title": "Object detection and segmentation from joint embedding of parts and pixels", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://www.eecs.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf", "http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126490", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126490", "http://doi.org/10.1109/ICCV.2011.6126490"]}, {"id": "8f310ac62e2e3685cf836bec5ad2dd5945f8c018", "title": "Tag refinement of micro-videos by learning from multiple data sources", "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": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4781-z"]}, {"id": "62f4df68cb1fbedf0c22fa292d9d9a9ef630d21d", "title": "Inverse Sparse Tracker With a Locally Weighted Distance Metric", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip15_ist.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7097026", "http://doi.org/10.1109/TIP.2015.2427518", "https://www.ncbi.nlm.nih.gov/pubmed/25935033", "https://www.wikidata.org/entity/Q48671535"]}, {"id": "21d7c74ed8a1c777debe96937c08b162ee01eac6", "title": "Exploring the Potential of Using Semantic Context and Common Sense in On-Road Vehicle Detection", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500468", "http://doi.org/10.1109/IVS.2018.8500468"]}, {"id": "d4efe5177a932305d0ac742b280da1e97a254f0c", "title": "Learning to detect, localize and recognize many text objects in document images from few examples", "addresses": [{"name": "A2iA SA, Paris, France", "source_name": "A2iA SA, Paris, France", "street_adddress": "39 Rue de la Bienfaisance, 75008 Paris, France", "lat": "48.87651350", "lng": "2.31476700", "type": "company", "country": "France"}, {"name": "Universit\u00e9 de Lyon, Lyon, France", "source_name": "CNRS, Universit\u00e9 de Lyon, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}, {"name": "LIRIS, INSA-Lyon, Villeurbanne, France", "source_name": "LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Teklia SAS, Paris, France", "source_name": "Teklia SAS, Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-018-0305-2"]}, {"id": "47a7b12776de302f5cf34df21eced1bff593dbcf", "title": "Combining deep reinforcement learning with prior knowledge and reasoning", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243067"]}, {"id": "ae4577f3a49ee56ea1c80f6884012c416d083ee5", "title": "Adaptive estimation of inlier and outlier threshold", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677398", "http://doi.org/10.1109/URAI.2013.6677398"]}, {"id": "cda356a979c0a57e1051830551f657db249e3c45", "title": "Architecture for Dynamic Allocation of Computer Vision Tasks", "addresses": [{"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967427"]}, {"id": "7b8ace072475a9a42d6ceb293c8b4a8c9b573284", "title": "Conditional Random Fields for multi-camera object detection", "addresses": [{"name": "EPFL, Lausanne (Switzerland)", "source_name": "EPFL, Lausanne (Switzerland)", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "ETHZ, Zurich (Switzerland)", "source_name": "ETHZ, Zurich (Switzerland)", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00855.pdf", "https://infoscience.epfl.ch/record/167890/files/Conditional%20Random%20Fields%20for%20Multi-Camera%20Object%20Detection.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126289", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126289", "http://doi.org/10.1109/ICCV.2011.6126289"]}, {"id": "335be9250ba4a69a303abc3e202fb7c9c8551f49", "title": "Large scale visual classification with SVM, create the unique article through NLP", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8257788"]}, {"id": "553c4cb8ae6968515efe7ffcb6c30ca5338a32de", "title": "InverseNet: Solving Inverse Problems with Splitting Networks", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00202.pdf"], "doi": []}, {"id": "16161051ee13dd3d836a39a280df822bf6442c84", "title": "Learning Efficient Object Detection Models with Knowledge Distillation", "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"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4bd3/f187f3e09483b1f0f92150a4a77409691b0f.pdf"], "doi": []}, {"id": "1504eae5487e1e062fef96e1e424de5d3a5a3858", "title": "MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078976"]}, {"id": "ed4bd8e3805853f906029f9b917f22b3cd2fc3bf", "title": "Lazy Dragging: Effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7889309", "http://doi.org/10.1109/TCE.2017.014769"]}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "b7407b2ea67b8c82246f013f4966c4cac1507e60", "title": "Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b740/7b2ea67b8c82246f013f4966c4cac1507e60.pdf"], "doi": []}, {"id": "8f76401847d3e3f0331bab24b17f76953be66220", "title": "Deep Coding Network", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"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": "2010", "pdf": ["http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2010_1077.pdf", "http://papers.nips.cc/paper/3929-deep-coding-network.pdf", "http://stat.rutgers.edu/home/tzhang/papers/nips10-coding.pdf", "http://www.linyq.com/DCN_slides.pdf"], "doi": ["http://papers.nips.cc/paper/3929-deep-coding-network"]}, {"id": "7bf7483f96a5f08a0c762831f7214b4caf451d24", "title": "Improving object detection accuracy with region and regression based deep CNNs", "addresses": [{"name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "source_name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "gov", "country": "China"}, {"name": "Ocean University of Chisana", "source_name": "Ocean University of Chisana, Qingdao, China", "street_adddress": "5 Yushan Rd, Shinan Qu, Qingdao Shi, Shandong Sheng, China", "lat": "36.06125500", "lng": "120.33530100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304297", "http://doi.org/10.1109/SPAC.2017.8304297"]}, {"id": "55f7699e768457d40c5232448cdca4503db2821b", "title": "Temporal consistency object tracker with ranking mechanism", "addresses": [{"name": "JiaYing University", "source_name": "JiaYing University, Meizhou, China", "street_adddress": "China, Guangdong, Meizhou, Meijiang, \u6885\u677e\u8def100\u53f7", "lat": "24.32538700", "lng": "116.12873200", "type": "edu", "country": "China"}, {"name": "Longyan University", "source_name": "Longyan University, Fujian, China", "street_adddress": "Xinluo, Longyan, China", "lat": "25.03291000", "lng": "117.01961900", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418834", "http://doi.org/10.1109/ROBIO.2015.7418834"]}, {"id": "4e5be30a51f6f5cde38b4917ab9e8c51d85ad16c", "title": "Fast dynamic video content exploration", "addresses": [{"name": "MIT Lincoln Laboratory", "source_name": "MIT Lincoln Laboratory", "street_adddress": "244 Wood St, Lexington, MA 02421, USA", "lat": "42.45895890", "lng": "-71.26749520", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6699013"]}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "03735225d5f956180cc252af3613796e75930f1a", "title": "Shifting Weights: Adapting Object Detectors from Image to Video", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/nips12-adapt.pdf", "http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video.pdf", "http://vision.stanford.edu/pdf/nips12-adapt.pdf"], "doi": ["http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video"]}, {"id": "d994cae1195536ed1298d9289f014e4a81b88ca7", "title": "Sparse Coding for Object Detection with Deformable Part Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d994/cae1195536ed1298d9289f014e4a81b88ca7.pdf"], "doi": []}, {"id": "c1611b8b68ecc1e4ab2c35a10af70698d26d32ef", "title": "A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546192", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546192", "http://doi.org/10.1109/ICPR.2018.8546192"]}, {"id": "d9a0ccbef012d48813334be3de8319f8dd98e3fb", "title": "Deep Uniqueness-Aware Hashing for Fine-Grained Multi-Label Image Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001683.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461906", "http://doi.org/10.1109/ICASSP.2018.8461906"]}, {"id": "1c720c0da64d6e2e4e04cfa70216215bd33eade5", "title": "Region Trajectories for Video Semantic Concept Detection", "addresses": [{"name": "NVIDIA Research, New York, NY, USA", "source_name": "NVIDIA Research, New York, NY, USA", "street_adddress": "101 Crawfords Corner Rd Suite 4-205, Holmdel, NJ 07733, USA", "lat": "40.36511150", "lng": "-74.16754280", "type": "company", "country": "United States"}, {"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912046"]}, {"id": "504d79d7fba48645ef84a90b94a431f8a7e0612d", "title": "Compositional Compression of Deep Image Features Using Stacked Quantizers", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/504d/79d7fba48645ef84a90b94a431f8a7e0612d.pdf"], "doi": []}, {"id": "0dc0823a7485e2dfba9cdbcec788fe705c9bd8a1", "title": "Lazy dragging: effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Student, IEEE", "source_name": "Student, IEEE", "street_adddress": "Lubbock, TX 79409, USA", "lat": "33.58689190", "lng": "-101.87544120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8013247", "http://doi.org/10.1109/ICCE.2017.7889309"]}, {"id": "a23dbce36d200ef0c65ec29bbffea5b960361f3b", "title": "Pixel-wise neural cell instance segmentation", "addresses": [{"name": "Astellas Research Institute of America, IL, USA", "source_name": "Astellas Research Institute of America, IL, USA", "street_adddress": "8045 Lamon Ave, Skokie, IL 60077, USA", "lat": "42.02797290", "lng": "-87.74949910", "type": "edu", "country": "United States"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8363596", "http://doi.org/10.1109/ISBI.2018.8363596"]}, {"id": "41be021880a916305c82199ddc2298eb271f6590", "title": "Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05272.pdf"], "doi": []}, {"id": "99f95595c45bd7a4fe2cffff07850754955e5e2a", "title": "RRAM-Based Analog Approximate Computing", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"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"}, {"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": "2015", "pdf": ["https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/IEEE%20TCAD_170.pdf", "https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/TCAD15_None.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123597", "http://doi.org/10.1109/TCAD.2015.2445741"]}, {"id": "57642aa16d29bbd9f89f95e3f3dcb8291552db60", "title": "Benchmarking and Analyzing Deep Neural Network Training", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"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": ["http://www.cs.toronto.edu/~pekhimenko/Papers/iiswc18-tbd.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8573476", "http://doi.ieeecomputersociety.org/10.1109/IISWC.2018.8573476", "http://doi.org/10.1109/IISWC.2018.8573476"]}, {"id": "732e4016225280b485c557a119ec50cffb8fee98", "title": "Are all training examples equally valuable?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.6510.pdf"], "doi": []}, {"id": "73e3acf30ecce3771557aa083d5a83308049582b", "title": "Two-stream deep encoder-decoder architecture for fully automatic video object segmentation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305089", "http://doi.org/10.1109/VCIP.2017.8305089"]}, {"id": "6028f819adb0e79e8b846f4ff52fc7f1d4ee5711", "title": "RGB-D Human Detection and Tracking for Industrial Environments", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}, {"name": "Southwest Research Institute, San Antonio, USA", "source_name": "Southwest Research Institute, San Antonio, USA", "street_adddress": "6220 Culebra Rd, San Antonio, TX 78238, USA", "lat": "29.45212560", "lng": "-98.61028110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://robotics.dei.unipd.it/images/Papers/Conferences/MunaroIAS13.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-08338-4_119"]}, {"id": "36aa5dd816553ba2e666d2a4b7d2f346e4b56be2", "title": "Variable scale and anti-occlusion object tracking method with multiple feature integration", "addresses": [{"name": "Xi'an University of Posts and Telecommunications", "source_name": "Xi'an University of Posts and Telecommunications, Xi'an, China", "street_adddress": "W Chang'an Ave, ChangAnQu XiBu DaXueCheng ShangQuan, Changan Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.15246200", "lng": "108.90348400", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7883101"]}, {"id": "488fff23542ff397cdb1ced64db2c96320afc560", "title": "Weakly supervised localization of novel objects using appearance transfer", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_106_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299060", "http://doi.org/10.1109/CVPR.2015.7299060"]}, {"id": "537afabc561a2efa79a903f4859ca63e6592f340", "title": "Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06452.pdf"], "doi": []}, {"id": "e9d82ae7530e605c03440d362d78663c4af0edb6", "title": "Object Detection Using Color Entropies and a Fuzzy Classifier", "addresses": [{"name": "National Chung-Hsing University", "source_name": "National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.", "street_adddress": "No. 145\u865f, Xingda Road, South District, Taichung City, Taiwan 402", "lat": "24.12355200", "lng": "120.67532600", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410716", "http://doi.org/10.1109/MCI.2012.2228592"]}, {"id": "8e31c59c973cecce1a7ef114344513d1b6ec9001", "title": "Ask the dictionary: Soft-assignment location-orientation pooling for image classification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351672", "http://doi.org/10.1109/ICIP.2015.7351672"]}, {"id": "34ccebc467bad0fc179543bde7d1bc04bed2397c", "title": "Recognizing Actions Through Action-Specific Person Detection", "addresses": [{"name": "Computer Vision Centre Barcelona, Barcelona, Spain", "source_name": "Computer Vision Centre Barcelona, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7180357", "http://doi.org/10.1109/TIP.2015.2465147", "https://www.ncbi.nlm.nih.gov/pubmed/26259079"]}, {"id": "33ba256d59aefe27735a30b51caf0554e5e3a1df", "title": "Early active learning via robust representation and structured sparsity", "addresses": [{"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ijcai.org/Proceedings/13/Papers/234.pdf", "http://www.ijcai.org/Proceedings/13/Papers/234.pdf"], "doi": ["http://ijcai.org/Abstract/13/234"]}, {"id": "4efd04f737ff386edd943f2bd63499d1963f1a6f", "title": "Segmentation as selective search for object recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126456"]}, {"id": "78a981ad6e9e3b7839e815ccd96d9d8e773b3eed", "title": "Object recognition as ranking holistic figure-ground hypotheses", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5539839"]}, {"id": "72d7e11b30767f4f5993d794fc040328b23868b5", "title": "Deep neural network acceleration framework under hardware uncertainty", "addresses": [{"name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "source_name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "street_adddress": "La Jolla, CA 92093, USA", "lat": "32.88180060", "lng": "-117.23352350", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://moimani.weebly.com/uploads/2/3/8/6/23860882/isqed_18_nn__1_.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8357318", "http://doi.org/10.1109/ISQED.2018.8357318"]}, {"id": "419550e7b918c64785f087b17f7fde6c94bc6d4e", "title": "Distributional semantics with eyes: using image analysis to improve computational representations of word meaning", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2396422"]}, {"id": "a2a032f907c19256863e1e011b834eb1f8057a4c", "title": "Evaluating the WordsEye Text-to-Scene System: Imaginative and Realistic Sentences", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a2a0/32f907c19256863e1e011b834eb1f8057a4c.pdf"], "doi": []}, {"id": "0d746111135c2e7f91443869003d05cde3044beb", "title": "Partial face detection for continuous authentication", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "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": "2016", "pdf": ["https://arxiv.org/pdf/1603.09364.pdf"], "doi": []}, {"id": "ccd3dcbccae7d903608530bddf6381db8e723a7d", "title": "Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "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"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccd3/dcbccae7d903608530bddf6381db8e723a7d.pdf"], "doi": []}, {"id": "3dcf65754c6ea49ece027964348f4ee792dad758", "title": "Hierarchical joint-guided networks for semantic image segmentation", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001887.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952484", "http://doi.org/10.1109/ICASSP.2017.7952484"]}, {"id": "a864f8cb78958d2b5674e0a68f7e5d7afb4110d8", "title": "Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}, {"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08109.pdf"], "doi": []}, {"id": "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "title": "HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "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": "2019", "pdf": ["https://arxiv.org/pdf/1603.01249.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "8379f3cea577e393156c75f4c06560ba2472da94", "title": "Detection and localization with multi-scale models", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/mss_icpr.pdf", "https://eshed1.github.io/papers/mss_icpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899830", "http://doi.org/10.1109/ICPR.2016.7899830"]}, {"id": "3b60af814574ebe389856e9f7008bb83b0539abc", "title": "Label Refinement Network for Coarse-to-Fine Semantic Segmentation.", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00551.pdf"], "doi": []}, {"id": "863e0b05b60662cf969ad4f5d3314f70a78beaa7", "title": "Color\u2013depth multi-task learning for object detection in haze", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3732-6"]}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "92990ef7866ca906b595e2841e340725fb3ff8da", "title": "Generating Synthetic Data for Text Recognition", "addresses": [{"name": "CVIT, IIIT Hyderabad, India", "source_name": "CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.04224.pdf"], "doi": []}, {"id": "87c2e267fadac9d4f4f694125eb86eaaf7121797", "title": "Fine tuning CNNS with scarce training data \u2014 Adapting imagenet to art epoch classification", "addresses": [{"name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "source_name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/papers/Web_3.0/ICIP2016-hentschel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533049", "http://doi.org/10.1109/ICIP.2016.7533049"]}, {"id": "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "title": "Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "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": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04780.pdf"], "doi": []}, {"id": "68e596972d99635b5431357630512f1828ce90b4", "title": "Weakly Supervised RBM for Semantic Segmentation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/68e5/96972d99635b5431357630512f1828ce90b4.pdf"], "doi": []}, {"id": "6e7a9779dee831658e973ee26ac8bfed2d6da033", "title": "Human Pose Estimation for Multiple Frames", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6e7a/9779dee831658e973ee26ac8bfed2d6da033.pdf"], "doi": []}, {"id": "08eaa845a72a2b78e08e58592d8785942fced649", "title": "What's in a Question: Using Visual Questions as a Form of Supervision", "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": "2017", "pdf": ["https://arxiv.org/pdf/1704.03895.pdf"], "doi": []}, {"id": "420c46d7cafcb841309f02ad04cf51cb1f190a48", "title": "Multi-Scale Context Aggregation by Dilated Convolutions", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07122.pdf"], "doi": []}, {"id": "2603a85b305d041bf749934fe538315ecbc300c2", "title": "Non Maximal Suppression in Cascaded Ranking Models", "addresses": [{"name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "source_name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "street_adddress": "3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France", "lat": "48.70875900", "lng": "2.16400600", "type": "edu", "country": "France"}, {"name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "source_name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "source_name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "street_adddress": "1 Rue Honor\u00e9 d'Estienne d'Orves, 91120 Palaiseau, France", "lat": "48.71464030", "lng": "2.20565390", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/scia2013a.pdf", "https://users.aalto.fi/~kannalj1/publications/scia2013a.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38886-6_39"]}, {"id": "c23734cf46af7c299b72089e5cbc0e50b833e434", "title": "Edge color transform: a new operator for natural scene text localization", "addresses": [{"name": "Shahrood University of Technology", "source_name": "Shahrood University of Technology, Shahrood, Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u0633\u0645\u0646\u0627\u0646\u060c \u0634\u0627\u0647\u0631\u0648\u062f\u060c \u062e\u06cc\u0627\u0628\u0627\u0646 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u060c Iran", "lat": "36.39347730", "lng": "54.94178380", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4663-4"]}, {"id": "e8adb84bbcb4d36e276e4fb4be2e9a7c9e278778", "title": "Rank : Non-Linear Object Detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e8ad/b84bbcb4d36e276e4fb4be2e9a7c9e278778.pdf"], "doi": []}, {"id": "a5fa91dbc72f200970e70debe88375b71ddef40b", "title": "A new performance measure and evaluation benchmark for road detection algorithms", "addresses": [{"name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "source_name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "street_adddress": "Carl-Legien-Stra\u00dfe 30, 63073 Offenbach am Main, Germany", "lat": "50.08472490", "lng": "8.84064370", "type": "company", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany", "source_name": "Max Planck Institute for Intelligent Systems in T\u00fcbingen, Germany", "street_adddress": "Max-Planck-Ring 4, 72076 T\u00fcbingen, Germany", "lat": "48.53574060", "lng": "9.05809890", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.cvlibs.net/publications/Fritsch2013ITSC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728473", "http://doi.org/10.1109/ITSC.2013.6728473"]}, {"id": "605f5d08199b3202dd180590aef1a1648c0e309e", "title": "Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval", "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"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968473", "http://doi.org/10.1109/TMM.2017.2723841"]}, {"id": "025ceb084150433087cd9d3e6725ac439115e526", "title": "Controlling explanatory heatmap resolution and semantics via decomposition depth", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06463.pdf"], "doi": []}, {"id": "06e2178d029b78801c004e512d923f7ce7f9e8eb", "title": "3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/b949/b41677afb5635192a24ccdb7ec4ff7d6c889.pdf"], "doi": []}, {"id": "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "title": "Selective Weakly Supervised Human Detection under Arbitrary Poses", "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": "2017", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/y-cai-pr-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.025", "https://www.wikidata.org/entity/Q56524711"]}, {"id": "2814e52e0095c66ec24cf9ac4202ffb9b77c2706", "title": "Towards Automated Fish Detection Using Convolutional Neural Networks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559068"]}, {"id": "dcc6bc3751191d0c4be131352d5a5bc5d0a26e19", "title": "Performance evaluation of CBIR system based on object detection and evolutionary computation", "addresses": [{"name": "Govt. College of Engineering, Amravati India", "source_name": "Govt. College of Engineering, Amravati India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "Govt. College of Engineering, Amravati, India", "source_name": "Govt. College of Engineering, Amravati, India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "MIT India", "source_name": "M.I.T. College of Engineering Pune, India", "street_adddress": "Survey No. 124, Paud Road, MIT College Campus Ex, Shivtirthanagar, Kothrud, Pune, Maharashtra 411038, India", "lat": "18.51937200", "lng": "73.81496070", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7030849", "http://doi.org/10.1109/GCWCN.2014.7030849"]}, {"id": "0b9c5bfb4d8349bb3f6ddd6fb612b7f9657c93f8", "title": "Inverting and Visualizing Features for Object Detection", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.2278.pdf"], "doi": []}, {"id": "2774b83247331d10a87195290f8e9aa096640dde", "title": "Fast human detection using Node-Combined Part Detector", "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": "2011", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/caosong-icip-1569409401.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116493", "http://doi.org/10.1109/ICIP.2011.6116493"]}, {"id": "d1ff495047a47ea686cde7806cc04b377ef9984f", "title": "Augmented songbook: an augmented reality educational application for raising music awareness", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}, {"name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "source_name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "street_adddress": "14-16 Rue Voltaire, 94270 Le Kremlin-Bic\u00eatre, France", "lat": "48.81552200", "lng": "2.36297300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de La Rochelle", "source_name": "L3i Laboratory, Universit\u00e9 de La Rochelle, La Rochelle cedex 1, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4991-4"]}, {"id": "8448b75afec91e618ab1c2dade7d5500f6ae4289", "title": "The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://vision.eecs.yorku.ca/publications/wildesPAMI2014.pdf", "http://www.cse.yorku.ca/vision/publications/wildesPAMI2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678506", "http://doi.org/10.1109/TPAMI.2013.233", "https://www.ncbi.nlm.nih.gov/pubmed/26353200", "https://www.wikidata.org/entity/Q50620276"]}, {"id": "5907ca4b91c8e8d846871e045bce9a4ca851053a", "title": "Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation", "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 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"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "2014", "pdf": ["http://eiger.ddns.comp.nus.edu.sg/pubs/fusionofmultichannelstructures-tip2014.pdf", "https://pdfs.semanticscholar.org/5907/ca4b91c8e8d846871e045bce9a4ca851053a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728663", "http://doi.org/10.1109/TIP.2014.2303650", "https://www.ncbi.nlm.nih.gov/pubmed/24723537"]}, {"id": "391e52ac04408d3e6496614ffafd6ac89c1b6c45", "title": "Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://ais.informatik.uni-freiburg.de/teaching/ws14/seminar_robotperception/papers/paper_02.pdf", "http://openaccess.thecvf.com/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/data/cvpr14_Seeing3DChairs.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/texts/Aubry14.pdf", "http://www.di.ens.fr/~josef/publications/aubry14.pdf", "https://hal.inria.fr/hal-01057240/file/Aubry14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.487", "http://doi.org/10.1109/CVPR.2014.487"]}, {"id": "a03c62d4206d4dd0ef4bf8312bfdb0d4971a1123", "title": "Modeling Visual Context Is Key to Augmenting Object Detection Datasets", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07428.pdf"], "doi": []}, {"id": "c38082dc5434f0ce4e03394c1187465037eda6bb", "title": "Alcohol Induced Alterations to the Human Fecal VOC Metabolome", "addresses": [{"name": "George Mason University", "source_name": "George Mason University", "street_adddress": "George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA", "lat": "38.83133325", "lng": "-77.30798839", "type": "edu", "country": "United States"}, {"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c380/82dc5434f0ce4e03394c1187465037eda6bb.pdf"], "doi": []}, {"id": "424561d8585ff8ebce7d5d07de8dbf7aae5e7270", "title": "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7485869"]}, {"id": "1158de029ac516d1f073c8db46005f187eceb0ef", "title": "Region-Based Convolutional Networks for Accurate Object Detection and Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7112511"]}, {"id": "feaedf4b24f8d7673c59659cadd4237c2a1dbc90", "title": "A large-scale solar image dataset with labeled event regions", "addresses": [{"name": "Montana State University", "source_name": "Montana State University, Bozeman, MT 59717, USA", "street_adddress": "Bozeman, MT 59717, USA", "lat": "45.66039860", "lng": "-111.04518180", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738896", "http://doi.org/10.1109/ICIP.2013.6738896", "https://www.wikidata.org/entity/Q57765181"]}, {"id": "5b93f70e05b1a1b4a7c2f03a82c9a5178a38cd61", "title": "Comparison of different real time VOC measurement techniques in a ponderosa pine forest", "addresses": [{"name": "University of Innsbruck", "source_name": "Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria", "street_adddress": "Innrain 52, 6020 Innsbruck, Austria", "lat": "47.26335420", "lng": "11.38380060", "type": "edu", "country": "Austria"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/13da/36f4e6be3cd308cf77436c16baba1155278a.pdf"], "doi": []}, {"id": "2eb6caace8296fd4dfd4947efa4fe911c8e133b2", "title": "Measuring the Objectness of Image Windows", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6133291"]}, {"id": "98a77dabca47f102da4c9259ad29ca0fd1e25e89", "title": "PET: An eye-tracking dataset for animal-centric Pascal object classes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177450"]}, {"id": "00bc01bc02b4c602e28bbcc162fa33d449a1e0e6", "title": "Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"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": "2013", "pdf": ["https://pdfs.semanticscholar.org/00bc/01bc02b4c602e28bbcc162fa33d449a1e0e6.pdf"], "doi": []}, {"id": "b0204e6c7301281ec8460e5251cd7c3c83c40883", "title": "Pano-RSOD: A Dataset and Benchmark for Panoramic Road Scene Object 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"}, {"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b020/4e6c7301281ec8460e5251cd7c3c83c40883.pdf"], "doi": []}, {"id": "0fb39e6d74e3166598e190b67a5ddb6f530ac49d", "title": "MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Sherbrooke", "source_name": "University of Sherbrooke, Sherbrooke, Canada", "street_adddress": "2500 Boulevard de l'Universit\u00e9, Sherbrooke, QC J1K 0A5, Canada", "lat": "45.37463260", "lng": "-71.93038130", "type": "edu", "country": "Canada"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Miovision Technologies Inc., Kitchener, Canada", "source_name": "Miovision Technologies Inc., Kitchener, Canada", "street_adddress": "137 Glasgow St, Kitchener, ON N2G 4X8, Canada", "lat": "43.45091180", "lng": "-80.51357790", "type": "company", "country": "Canada"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8387876", "http://doi.org/10.1109/TIP.2018.2848705", "https://www.ncbi.nlm.nih.gov/pubmed/29994117"]}, {"id": "e8f6838a552919eee7b61be745888f2d4c480e22", "title": "Vision-Based Parking-Slot Detection: A DCNN-Based Approach and a Large-Scale Benchmark Dataset", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://sse.tongji.edu.cn/linzhang/files/parkingslot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8412601", "http://doi.org/10.1109/TIP.2018.2857407", "https://www.ncbi.nlm.nih.gov/pubmed/30028704"]}, {"id": "b183947ee15718b45546eda6b01e179b9a95421f", "title": "Edge Boxes: Locating Object Proposals from Edges", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930391.pdf", "http://vision.ucsd.edu/~pdollar/files/papers/ZitnickDollarECCV14edgeBoxes.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/ZitnickDollarECCV14edgeBoxes.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_26"]}, {"id": "cc8a2a5e8c777d2b1cf33220ab5cc28b242afc6e", "title": "Generating Large Scale Image Datasets from 3 D CAD Models", "addresses": [{"name": "University of Massachusetts Lowell", "source_name": "Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), University of Massachusetts Lowell, 01854, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cc8a/2a5e8c777d2b1cf33220ab5cc28b242afc6e.pdf"], "doi": []}, {"id": "322a7dad274f440a92548faa8f2b2be666b2d01f", "title": "Pyramid Scene Parsing Network", "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": "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/1612.01105.pdf"], "doi": []}, {"id": "b724c3f7ff395235b62537203ddeb710f0eb27bb", "title": "R-FCN: Object Detection via Region-based Fully Convolutional Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06409.pdf"], "doi": []}, {"id": "cfa6b08140d43fe8480987a03991268d804f6755", "title": "The impact of speciated VOCs on regional ozone increment derived from measurements at the UK EMEP supersites between 1999 and 2012", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/003c/ef920309c47bb9190c422c1c203a37622c09.pdf"], "doi": []}, {"id": "88bde2b1b4522c726d331218ce7fc6e1b27d8dde", "title": "Is object localization for free? - Weakly-supervised learning with convolutional neural networks", "addresses": [{"name": "INRIA Paris", "source_name": "RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France", "street_adddress": "2 Rue Simone IFF, 75012 Paris, France", "lat": "48.84162120", "lng": "2.38448010", "type": "edu", "country": "France"}, {"name": "INRIA, Paris, France", "source_name": "WILLOW project-team, Laboratoire d'Informatique de l'\u00c9cole Normale Sup\u00e9rieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298668"]}, {"id": "455da02e5048dffb51fb6ab5eb8aeca5926c9d9a", "title": "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005506"]}, {"id": "2fa1f1fc566a0b770b1f39ed5ca1e602a28a5636", "title": "Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.04143.pdf"], "doi": []}, {"id": "e56bb892c581f682052ddd3896c65a2b29e64612", "title": "Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02734.pdf"], "doi": []}, {"id": "9217e28b2273eb3b26e4e9b7b498b4661e6e09f5", "title": "Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02611.pdf"], "doi": []}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "a3d96844dc4fc3b51f3b8361c72f156800794251", "title": "BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01640.pdf"], "doi": []}, {"id": "f986968735459e789890f24b6b277b0920a9725d", "title": "Places: A 10 Million Image Database for Scene Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["http://places2.csail.mit.edu/PAMI_places.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968387", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2723009", "http://doi.org/10.1109/TPAMI.2017.2723009", "https://www.ncbi.nlm.nih.gov/pubmed/28692961"]}, {"id": "98bb60748eb8ef7a671cdd22faa87e377fd13060", "title": "Part-based R-CNNs for Fine-grained Category Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.3867.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "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/1611.05431.pdf"], "doi": []}, {"id": "6f9f143ec602aac743e07d092165b708fa8f1473", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07293.pdf"], "doi": []}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "5d165ff5b0b389e32809c17838a2afc218a91d62", "title": "Object Detectors Emerge in Deep Scene CNNs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6856.pdf"], "doi": []}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"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": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "0cb53a5ef780f037c1f2fd7de1f748b3f81726bc", "title": "FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.12347.pdf"], "doi": []}, {"id": "1c2c978faad6f27e05cf9e3fca509132ace8fae4", "title": "Beyond PASCAL: A benchmark for 3D object detection in the wild", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of 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": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836101"]}, {"id": "a6d030101caa64f4972760afb2719cee30511909", "title": "SUN RGB-D: A RGB-D scene understanding benchmark suite", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298655"]}, {"id": "ee4a012a4b12d11d7ab8c0e79c61e807927a163c", "title": "Rethinking Atrous Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05587.pdf"], "doi": []}, {"id": "7a96765c147c9c814803c8c9de28a1dd069271da", "title": "SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Technion", "source_name": "Technion", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": ["http://arxiv.org/pdf/1408.3456", "http://ie.technion.ac.il/~roiri/papers/simLex-arxiv.pdf", "http://www.aclweb.org/anthology/J/J15/J15-4004.pdf", "https://arxiv.org/pdf/1408.3456.pdf"], "doi": ["https://doi.org/10.1162/COLI_a_00237", "http://aclweb.org/anthology/J15-4004", "https://www.wikidata.org/entity/Q28732668"]}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "3647d6d0f151dc05626449ee09cc7bce55be497e", "title": "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04861.pdf"], "doi": []}, {"id": "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "title": "Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird\u2019s \u2013Eye View", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Korea", "source_name": "Electronics and Telecommunications Research Institute, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539407", "http://doi.org/10.1109/ICTC.2018.8539407"]}, {"id": "342786659379879f58bf5c4ff43c84c83a6a7389", "title": "Simultaneous Detection and Segmentation", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.1808.pdf"], "doi": []}, {"id": "e94183191183a368bf07eb544654bae4b3cbf407", "title": "DSSD : Deconvolutional Single Shot Detector", "addresses": [{"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.06659.pdf"], "doi": []}, {"id": "0ea75bdc42997d7d7e7bbee26db0d01e3019d8bc", "title": "Object Pose Dataset using Discriminatively Trained Deformable Part Models", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"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"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0ea7/5bdc42997d7d7e7bbee26db0d01e3019d8bc.pdf"], "doi": []}, {"id": "db7d44d14d393d21a95d22c0d6132d9faa197b7d", "title": "Interactive comment on \u201c What effect does VOC sampling time have on derived OH reactivity ? \u201d by", "addresses": [{"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wuppertal", "source_name": "Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany", "street_adddress": "Gau\u00dfstra\u00dfe 20, 42119 Wuppertal, Germany", "lat": "51.24500000", "lng": "7.14950000", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cc59/6c392c1367be2f78600a092de090e086ecd2.pdf"], "doi": []}, {"id": "76d6a8b09432b4ae59d1e3606e1bf1ed0448e8ec", "title": "What effect does VOC sampling time have on derived OH 1 reactivity ? 2 3", "addresses": [{"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wuppertal", "source_name": "Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany", "street_adddress": "Gau\u00dfstra\u00dfe 20, 42119 Wuppertal, Germany", "lat": "51.24500000", "lng": "7.14950000", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fe78/29d0620f3173581b93c78d6310740812fa09.pdf"], "doi": []}, {"id": "81fc84cb71dc61e3411e80129b082243d2c5b248", "title": "Optimizing Data Augmentation for Semantic Segmentation on Small-Scale Dataset", "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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3341020"]}, {"id": "14d9be7962a4ec5a6e55755f4c7588ea00793652", "title": "Return of the Devil in the Details: Delving Deep into Convolutional Nets", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.3531.pdf"], "doi": []}, {"id": "5f963e85c75db44fbd4234ff1d2744f94d1231da", "title": "Salient Object Detection: A Benchmark", "addresses": [{"name": "University of Wisconsin", "source_name": "University of Wisconsin, Madison, USA", "street_adddress": "Madison, WI 53706, USA", "lat": "43.07659200", "lng": "-89.41248750", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7293665"]}, {"id": "e4845fb1e624965d4f036d7fd32e8dcdd2408148", "title": "YOLOv3: An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02767.pdf"], "doi": []}, {"id": "428db42e86f6d51292e23fa57797e35cecd0e2ee", "title": "Hypercolumns for object segmentation and fine-grained localization", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298642"]}, {"id": "080aebd2cc1019f17e78496354c37195560b0697", "title": "MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems", "addresses": [{"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01274.pdf"], "doi": []}, {"id": "325d145af5f38943e469da6369ab26883a3fd69e", "title": "Colorful Image Colorization", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08511.pdf"], "doi": []}, {"id": "1109b663453e78a59e4f66446d71720ac58cec25", "title": "OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks", "addresses": [{"name": "Courant Institute of Mathematical Sciences", "source_name": "Courant Institute of Mathematical Sciences", "street_adddress": "Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72864840", "lng": "-73.99568630", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.6229.pdf"], "doi": []}, {"id": "722fcc35def20cfcca3ada76c8dd7a585d6de386", "title": "Caffe: Convolutional Architecture for Fast Feature Embedding", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654889"]}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "07045f87709d0b7b998794e9fa912c0aba912281", "title": "U-Net: Convolutional Networks for Biomedical Image Segmentation", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04597.pdf"], "doi": []}, {"id": "27ce4b367bf52854efa10adab729b484dcf315aa", "title": "Deep filter banks for texture recognition and segmentation", "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"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299007"]}, {"id": "2a4fc35acaf09517e9c63821cadd428a84832416", "title": "Learning object class detectors from weakly annotated video", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://webdiis.unizar.es/~jcivera/papers/prest_etal_cvpr12.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00905.pdf", "http://www.vision.ee.ethz.ch/publications/papers/proceedings/eth_biwi_00905.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248065", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248065", "http://doi.org/10.1109/CVPR.2012.6248065"]}, {"id": "47643d5e70a4c8e266f47c1b87997b55768722d2", "title": "A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/4764/3d5e70a4c8e266f47c1b87997b55768722d2.pdf"], "doi": []}, {"id": "d414e23d02fb43c35f9173d3f54af7035d51101d", "title": "Take Goods from Shelves: A Dataset for Class-Incremental Object Detection", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3325033"]}, {"id": "0c516f0a648258c467b164bc7aff9779ae68726c", "title": "Impact of artificial dataset enlargement on performance of deformable part models", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02862840", "lng": "28.89049070", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495710"]}, {"id": "273b9b7c63ac9196fb12734b49b74d0523ca4df4", "title": "The Secrets of Salient Object Segmentation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2807.pdf"], "doi": []}, {"id": "49ca83ef6277581ac2b8bf7c121cf8d1f222992e", "title": "Generalized Multiview Analysis: A discriminative latent space", "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": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247923"]}, {"id": "3f3a483402a3a2b800cf2c86506a37f6ef1a5332", "title": "DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06645.pdf"], "doi": []}, {"id": "022c485c5617bbf0b7f40475f9758cddd11a91af", "title": "Describing Textures in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1311.3618.pdf"], "doi": []}, {"id": "1abf6491d1b0f6e8af137869a01843931996a562", "title": "ParseNet: Looking Wider to See Better.", "addresses": [{"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04579.pdf"], "doi": []}, {"id": "2157f202c8c89d924dd4da4d1bcf92d16fcd8893", "title": "Image database TID2013: Peculiarities, results and perspectives", "addresses": [{"name": "Tampere University", "source_name": "Tampere University, Finland, Tampere, Finland", "street_adddress": "Kalevantie 4, 33100 Tampere, Finland", "lat": "61.49364940", "lng": "23.77885280", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["http://mcl.usc.edu/wp-content/uploads/2016/01/1-s2.0-S0923596514001490-main.pdf", "http://www.researchgate.net/profile/Vladimir_Lukin2/publication/268038378_Image_database_TID2013_Peculiarities_results_and_perspectives/links/5469a6b50cf20dedafd0e2fd.pdf"], "doi": ["https://doi.org/10.1016/j.image.2014.10.009", "https://doi.org/10.1016/j.image.2014.10.009", "https://www.wikidata.org/entity/Q61711236"]}, {"id": "063c6ae786c34d3722c6d9060df6339e246bbc3b", "title": "Texture Synthesis Using Convolutional Neural Networks", "addresses": [{"name": "Max Planck Institute for Biological Cybernetics", "source_name": "Max Planck Institute for Biological Cybernetics", "street_adddress": "Max-Planck-Institut f\u00fcr Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, T\u00fcbingen, Landkreis T\u00fcbingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72076, Deutschland", "lat": "48.53691250", "lng": "9.05922533", "type": "edu", "country": "Germany"}, {"name": "Baylor College of Medicine, Houston, TX, USA", "source_name": "Baylor College of Medicine, Houston, TX, USA", "street_adddress": "1 Baylor Plaza, Houston, TX 77030, USA", "lat": "29.71052900", "lng": "-95.39624100", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07376.pdf"], "doi": []}, {"id": "6b1ac8e438041ac02cc8fab5762ca069c386f473", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/%7Ekdtang/papers/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "fad0f098e178cf7f3065b282721509290ecf738c", "title": "Adversarial Learning for Semi-supervised Semantic Segmentation", "addresses": [{"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"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07934.pdf"], "doi": []}, {"id": "416a242f24246f8ee2c00f4d3d1561443dc65b59", "title": "Fully Connected Deep Structured Networks", "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": "2015", "pdf": ["https://arxiv.org/pdf/1503.02351.pdf"], "doi": []}, {"id": "091458abbf195dcf9ce9591ec5ab981e6a8fb68a", "title": "From image-level to pixel-level labeling with Convolutional Networks", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298780"]}, {"id": "bea705a6a3793ffa2f61c33a82b759ad9f706947", "title": "Pyramid Attention Network for Semantic Segmentation", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": ["https://arxiv.org/pdf/1805.10180.pdf"], "doi": []}, {"id": "465cd01133c41f4b518fc118db54549fa04c4cd4", "title": "Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6459040"]}, {"id": "0e01db4197f71450118f81ae5a69ce4916b46421", "title": "Weakly-supervised Discovery of Visual Pattern Configurations", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6507.pdf"], "doi": []}, {"id": "d7ddad7bbda29de7676c21bfeac6be2ce0a07d6f", "title": "Dual Path Networks", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01629.pdf"], "doi": []}, {"id": "b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe", "title": "Subcategory-Aware Object Classification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore Laboratories", "source_name": "Panasonic Singapore Laboratories", "street_adddress": "Singapore", "lat": "1.33648800", "lng": "103.89329250", "type": "company", "country": "Singapore"}], "year": "2013", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a827.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618956", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.112", "http://doi.org/10.1109/CVPR.2013.112"]}, {"id": "4eee87d960754f755fdec073a160af3e2e31672f", "title": "PSANet: Point-wise Spatial Attention Network for Scene Parsing", "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": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCV_2018/papers/Hengshuang_Zhao_PSANet_Point-wise_Spatial_ECCV_2018_paper.pdf", "https://staff.ie.cuhk.edu.hk/~ccloy/files/eccv_2018_psanet.pdf", "https://staff.ie.cuhk.edu.hk/~ccloy/files/eccv_2018_psanet_supp.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01240-3_17"]}, {"id": "054756fa720bdcf1d320ad7a353e54ca53d4d3af", "title": "Semantic part segmentation using compositional model combining shape and appearance", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6124.pdf"], "doi": []}, {"id": "d6a799e64879290efb2a5c1b4f490737f0b1ab98", "title": "DSOD: Learning Deeply Supervised Object Detectors from Scratch", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01241.pdf"], "doi": []}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "0ebbc37e8c1e9766dc0ccf3780a824a30ad9d62e", "title": "Weakly- and Semi-supervised Panoptic Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03575.pdf"], "doi": []}, {"id": "60d5e6495fe87a09ceb7c39db8923f9957809a81", "title": "Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1705.03372.pdf"], "doi": []}, {"id": "b371a2555dfca39797e5045332e5baa2e82c2624", "title": "Weakly-Supervised Semantic Segmentation using Motion Cues", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07188.pdf"], "doi": []}, {"id": "e655c1688aae0ee4cc071fb13b29ef88511f5fe7", "title": "Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e655/c1688aae0ee4cc071fb13b29ef88511f5fe7.pdf"], "doi": []}, {"id": "ae587a4a8842fbe01b9a043b66f762a89dca5074", "title": "Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06254.pdf"], "doi": []}, {"id": "7c2897f6c8c79879a3152f14e791c3a3d1822163", "title": "Where Are the Blobs: Counting by Localization with Point Supervision", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09856.pdf"], "doi": []}, {"id": "1f45b6d800108a277f4b2866420eefee3d2581e0", "title": "Deeply Learning the Messages in Message Passing Inference", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.02108.pdf"], "doi": []}, {"id": "da55a255bc5b72bc90c017d97869ece4c6353bcd", "title": "Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7159101"]}, {"id": "b61c0b11b1c25958d202b4f7ca772e1d95ee1037", "title": "Bridging Category-level and Instance-level Semantic Image Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06885.pdf"], "doi": []}, {"id": "3070a1bd503c3767def898bbd50c7eea2bbf29c9", "title": "Wider or Deeper: Revisiting the ResNet Model for Visual Recognition", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.10080.pdf"], "doi": []}, {"id": "d612a1dd7aa359f1e315a22a825936b4dcb641e2", "title": "Weakly Supervised Region Proposal Network and Object Detection", "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": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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"}, {"name": "The Johns Hopkins University", "source_name": "The Johns Hopkins University, Center for Language and Speech Processing, USA", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCV_2018/papers/Peng_Tang_Weakly_Supervised_Region_ECCV_2018_paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01252-6_22"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "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": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "54d97ea9a5f92761dddd148fb0e602c2293e7c16", "title": "Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation", "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": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/54d9/7ea9a5f92761dddd148fb0e602c2293e7c16.pdf"], "doi": []}, {"id": "4d653b19ce1c7cba79fc2f11271fb90f7744c95c", "title": "Light-Weight RefineNet for Real-Time Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03272.pdf"], "doi": []}, {"id": "247ca98c5a46616044cf6ae32b0d5b4140a7a161", "title": "High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04339.pdf"], "doi": []}, {"id": "3f0214808397b0adbc14a5139bc8d811019a23e1", "title": "One-Shot Learning for Semantic Segmentation", "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/1709.03410.pdf"], "doi": []}, {"id": "b5f2846a506fc417e7da43f6a7679146d99c5e96", "title": "UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.0402.pdf"], "doi": []}, {"id": "276ebc620a8976026bd2d03582b9ecfa3738d43c", "title": "The MovieLens Datasets: History and Context", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2827872"]}, {"id": "187480101af3fb195993da1e2c17d917df24eb23", "title": "Unsupervised Visual Representation Learning by Context Prediction", "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": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.05192.pdf"], "doi": []}, {"id": "2c51c8da2f82a956e633049616b1bb7730faa2da", "title": "Context Aware Computing for The Internet of Things: A Survey", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512846"]}, {"id": "4aa4069693bee00d1b0759ca3df35e59284e9845", "title": "DeViSE: A Deep Visual-Semantic Embedding Model", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/85ac/48c3cc267671fd948ec1ae4c55ccbdd17ed6.pdf"], "doi": []}, {"id": "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "title": "Context Encoders: Feature Learning by Inpainting", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07379.pdf"], "doi": []}, {"id": "0b102b38463b3e1b133c5f237b8782474b4b04b4", "title": "State-of-the-Art in Visual Attention Modeling", "addresses": [{"name": "University of Southern California (USC)", "source_name": "Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180177"]}, {"id": "7845f1d3e796b5704d4bd37a945e0cf3fb8bbf1f", "title": "Multiple Object Recognition with Visual Attention", "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": "2015", "pdf": ["https://arxiv.org/pdf/1412.7755.pdf"], "doi": []}, {"id": "c71db5d3546e22227662ee0f0ce586495ef18899", "title": "SALICON: Saliency in Context", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/salicon_cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Jiang_SALICON_Saliency_in_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298710", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298710", "http://doi.org/10.1109/CVPR.2015.7298710"]}, {"id": "142f38642629b9d268999ad876af482177d36697", "title": "Improving Word Representations via Global Context and Multiple Word Prototypes", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e3e9/b5257e02608794a1d0396b469869e6021d9c.pdf"], "doi": []}, {"id": "39f63dbdce9207b87878290c0e3983e84cfcecd9", "title": "Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition", "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": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5740583"]}, {"id": "29efbe391950ae438c63d86ad5c82b2942efb0b4", "title": "Modeling Context in Referring Expressions", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00272.pdf"], "doi": []}, {"id": "c18a227461e6b3d38fa4515e287432fad8213838", "title": "The Visual Object Tracking VOT2016 Challenge Results", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e508/2b6f3fcd9cef29331214d91bac3c5b9ef544.pdf"], "doi": []}, {"id": "a8f24fcc1eb0354ffd91f0e3031f5c4dc3e02dd6", "title": "R-FCN: Object Detection via Region-based Fully Convolutional Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06409.pdf"], "doi": []}, {"id": "14421119527aa5882e1552a651fbd2d73bc94637", "title": "Searching for objects driven by context", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9b81/86b6bc1e05d7a473d2afebc8a12698d88691.pdf"], "doi": []}, {"id": "1c42b5543c315556c8a961b1a4ee8bc027f70b22", "title": "Accurate Scale Estimation for Robust Visual Tracking", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "Link\u00f6ping, Sweden", "source_name": "Link\u00f6ping, Sweden", "street_adddress": "Link\u00f6ping, Sweden", "lat": "58.41080700", "lng": "15.62137280", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9636/975226da25acb5d285681870c3abe66116e9.pdf"], "doi": []}, {"id": "7069a994c150b0228c4e471ca48ed55d7646bc62", "title": "Fast Visual Tracking via Dense Spatio-temporal Context Learning", "addresses": [{"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/eccv14_stc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930127.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_9", "https://www.wikidata.org/entity/Q57809194"]}, {"id": "a56ed0bc2d69094e351a044ae8bc64ca0da691f8", "title": "SVO: Fast semi-direct monocular visual odometry", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906584"]}, {"id": "2a049d7f943db9f5e4e9e244f18da68189a0c880", "title": "Multiple Kernel Learning for Visual Object Recognition: A Review", "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": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654166"]}, {"id": "a2ca5733c08aa206337141f41e746ceb19953037", "title": "Task context impacts visual object processing differentially across the cortex.", "addresses": [{"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a2ca/5733c08aa206337141f41e746ceb19953037.pdf"], "doi": []}, {"id": "2ac63e298fd3454099cf7d4851756da1de36c41c", "title": "Visual Object Tracking Performance Measures Revisited", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389405"]}, {"id": "371f40f6d32ece05cc879b6954db408b3d4edaf3", "title": "Mining semantic affordances of visual object categories", "addresses": [{"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": "2015", "pdf": ["http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015_poster.pdf", "http://www-personal.umich.edu/~ywchao/publications/chao_cvpr2015.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Chao_Mining_Semantic_Affordances_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299054", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299054", "http://doi.org/10.1109/CVPR.2015.7299054"]}, {"id": "616b7093cfe6ec679f25d63f62c16e937227258f", "title": "Bayesian Multi-object Tracking Using Motion Context from Multiple Objects", "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": ["http://faculty.ucmerced.edu/mhyang/papers/wacv15_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045866", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.12", "http://doi.org/10.1109/WACV.2015.12"]}, {"id": "97f8f968c69cb2b469d2f151e6957d6487cb6b30", "title": "Saliency detection by multi-context deep learning", "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"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298731"]}, {"id": "cef80e5c6012739fb23a90f8fd9218430a6496e3", "title": "Crowdsourcing Annotations for Visual Object Detection", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cf9d/aa503798c3d4e04131bc7bf01544666265d1.pdf"], "doi": []}, {"id": "14b4127ef56f57eab19bb48d80ec169e7b1be944", "title": "Deep Reinforcement Learning for Visual Object Tracking in Videos", "addresses": [{"name": "University of California at Santa Barbara", "source_name": "University of California, Santa Barbara, CA 93106 USA", "street_adddress": "Santa Barbara, CA 93106, USA", "lat": "34.41358680", "lng": "-119.84969760", "type": "edu", "country": "United States"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08936.pdf"], "doi": []}, {"id": "713f73ce5c3013d9fb796c21b981dc6629af0bd5", "title": "Deep Neural Networks for Object Detection", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/713f/73ce5c3013d9fb796c21b981dc6629af0bd5.pdf"], "doi": []}, {"id": "9e1a21c9af589fc2148ce96aa93c9df4a9e5ae02", "title": "Undoing the damage of dataset bias", "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": "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": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/khosla/papers/eccv2012_khosla.pdf", "http://sunw.csail.mit.edu/2013/papers/Khosla_45_SUNw.pdf", "http://www.eecs.berkeley.edu/~tinghuiz/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_12", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1777&context=robotics"]}, {"id": "f523c55a0a8057c5b08add761353ca79946feb07", "title": "Visual Translation Embedding Network for Visual Relation Detection", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08319.pdf"], "doi": []}, {"id": "5cb7e530a63d85d767f244f3c9f7903530312fd1", "title": "Reshaping Visual Datasets for Domain Adaptation", "addresses": [{"name": "U. of Southern California", "source_name": "U. of Southern California", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}, {"name": "U. of Texas at Austin", "source_name": "U. of Texas at Austin", "street_adddress": "Austin, TX 78712, USA", "lat": "30.28491850", "lng": "-97.73405670", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5cb7/e530a63d85d767f244f3c9f7903530312fd1.pdf"], "doi": []}, {"id": "5b03fed2831ac56fca15d033f2cfd584ce9cb04f", "title": "Active Visual Object Search in Unknown Environments Using Uncertain Semantics", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}, {"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507635"]}, {"id": "a4b7be9098847632b15d27ff1d0d04af93636b24", "title": "Visual co-occurrence network: using context for large-scale object recognition in retail", "addresses": [{"name": "SiliconScapes LLC, USA", "source_name": "SiliconScapes LLC, USA", "street_adddress": "United States", "lat": "37.09024000", "lng": "-95.71289100", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Toshiba", "source_name": "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "street_adddress": "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "lat": "35.54931130", "lng": "139.69201440", "type": "company", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351774"]}, {"id": "55666928dda9989153d869e4d99251cfa009f0b7", "title": "Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.3284.pdf"], "doi": []}, {"id": "a564fabf130ff6e2742cfba90c7a4018937d764d", "title": "Radiology Objects in COntext (ROCO): A Multimodal Image Dataset", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04-ROCO_Labels_MICCAI_2018.pdf", "https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01364-6_20", "https://www.wikidata.org/entity/Q57711936"]}, {"id": "5196f3f47be0b61ce3dcf495368771f352e0abba", "title": "Context as Supervisory Signal: Discovering Objects with Predictable Context", "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": "UC Berkeley, USA", "source_name": "UC Berkeley, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://graphics.cs.cmu.edu/projects/contextPrediction/contextPrediction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8691/86910362.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10578-9_24"]}, {"id": "03eb382e04cca8cca743f7799070869954f1402a", "title": "CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06890.pdf"], "doi": []}, {"id": "cf79d83a4a9662d83c9a05b8e7cb5c88b316c023", "title": "Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.03871.pdf"], "doi": []}, {"id": "1a4582ce17389f65f9c44c662b8140c306962e59", "title": "Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6942210"]}, {"id": "184902b1ed5787a3ac9fd9840dde52502cf4bd3c", "title": "Object scene flow for autonomous vehicles", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover, Germany", "source_name": "Leibniz Universität Hannover, Germany", "street_adddress": "Welfengarten 1, 30167 Hannover, Germany", "lat": "52.38296410", "lng": "9.71969890", "type": "edu", "country": "Germany"}, {"name": "MPI T\u00fcbingen, Germany", "source_name": "MPI Tübingen, Germany", "street_adddress": "Bingen, Germany", "lat": "49.96673960", "lng": "7.90459600", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_091_ext.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_abstract.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298925", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298925", "http://doi.org/10.1109/CVPR.2015.7298925"]}, {"id": "0aac1b61897c8e6b15112a2f67c83ff7cdc0e388", "title": "A Tree-Based Context Model for Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871649"]}, {"id": "13ccdfb9d2c2a77192c74ae6352bd684e312d0f8", "title": "Hypercolumns for object segmentation and fine-grained localization", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298642"]}, {"id": "507a5f137deb46622ebfb2de996b04990db7eff8", "title": "Segmentation of unknown objects in indoor environments", "addresses": [{"name": "Vienna University of Technology", "source_name": "Vienna University of Technology", "street_adddress": "TU Wien, Hauptgeb\u00e4ude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, \u00d6sterreich", "lat": "48.19853965", "lng": "16.36986168", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385661"]}, {"id": "6ac3acd8c0cd3d6b234cb2c3f9ca747056c794e0", "title": "Spatially supervised recurrent convolutional neural networks for visual object tracking", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050867"]}, {"id": "410c8e4ee643889c054db64f52f6c85ec7cbcd62", "title": "All-Day Visual Place Recognition : Benchmark Dataset and Baseline", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/410c/8e4ee643889c054db64f52f6c85ec7cbcd62.pdf"], "doi": []}, {"id": "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "title": "Fast Feature Pyramids for Object Detection", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Redmond, Redmond, USA", "source_name": "Microsoft Research Redmond, Redmond, USA", "street_adddress": "14865 NE 36th St, Redmond, WA 98052, USA", "lat": "47.64183920", "lng": "-122.14074650", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/49239/7/DollarPAMI14pyramids_0.pdf", "http://pdollar.github.io/files/papers/DollarPAMI14pyramids.pdf", "http://research.microsoft.com/pubs/220572/DollarPAMI14pyramids.pdf", "https://vision.cornell.edu/se3/wp-content/uploads/2014/09/DollarPAMI14pyramids_0.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714453", "http://doi.org/10.1109/TPAMI.2014.2300479", "https://www.ncbi.nlm.nih.gov/pubmed/26353336", "https://www.wikidata.org/entity/Q40558128"]}, {"id": "10b987b076fe56e08c89693cdb7207c13b870540", "title": "Anticipating Visual Representations from Unlabeled Video", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "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": "2016", "pdf": ["https://arxiv.org/pdf/1504.08023.pdf"], "doi": []}, {"id": "356223d76a850b7d312eec36c70e2f90d78086cc", "title": "Object Categorization Using Local Feature Context", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "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": "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": "2013", "pdf": ["http://www.nlpr.ia.ac.cn/2013papers/gjhy/gh75.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-35728-2_31"]}, {"id": "bed7834ae7d371171977a590872f60d137c2f951", "title": "GuessWhat?! Visual Object Discovery through Multi-modal Dialogue", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08481.pdf"], "doi": []}, {"id": "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "title": "Natural Language Object Retrieval", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.04164.pdf"], "doi": []}, {"id": "df4f851e3c37017822a683b1356c6c390b5b5487", "title": "Image Question Answering: A Visual Semantic Embedding Model and a New Dataset", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/df4f/851e3c37017822a683b1356c6c390b5b5487.pdf"], "doi": []}, {"id": "f25b9aed37614aae007fc876f31eed0595ab9cd0", "title": "Modeling Context Between Objects for Referring Expression Understanding", "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": "2016", "pdf": ["https://arxiv.org/pdf/1608.00525.pdf"], "doi": []}, {"id": "4c56224a7904445e0db836257ac270a517ace36a", "title": "An Object-Oriented Visual Saliency Detection Framework Based on Sparse Coding Representations", "addresses": [{"name": "University of Georgia", "source_name": "University of Georgia, Athens, GA, USA", "street_adddress": "Athens, GA 30602, USA", "lat": "33.94800530", "lng": "-83.37732210", "type": "edu", "country": "United States"}, {"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"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6419789"]}, {"id": "71167cf519940a7373adc221401c396198763ab0", "title": "Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7116/7cf519940a7373adc221401c396198763ab0.pdf"], "doi": []}, {"id": "3e207c05f438a8cef7dd30b62d9e2c997ddc0d3f", "title": "Objects as context for part detection", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3e20/7c05f438a8cef7dd30b62d9e2c997ddc0d3f.pdf"], "doi": []}, {"id": "c8f14f756f38f495a7d0e29b0152ceb8666b8533", "title": "Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "Western Sydney University", "source_name": "Western Sydney University", "street_adddress": "Western Sydney University, Parramatta City Campus, Smith Street, Parramatta, Sydney, Parramatta, NSW, 2150, Australia", "lat": "-33.81608480", "lng": "151.00560034", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0151/46a94f41db5abd92551a4334fd7daae468bf.pdf"], "doi": []}, {"id": "8113a6d723c6f6dd2ff9808cf745480f16abc3f9", "title": "Attentional Network for Visual Object Detection", "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"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01478.pdf"], "doi": []}, {"id": "35136314d998bfbacc4f264bcafcd2709e4d0f68", "title": "Evaluating visual ADAS components on the COnGRATS dataset", "addresses": [{"name": "Goethe University", "source_name": "Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany", "street_adddress": "60323 Frankfurt, Germany", "lat": "50.12706750", "lng": "8.66776350", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535508"]}, {"id": "87697847062e7eefec99a8c3aec888e3eef5e5b9", "title": "Unsupervised Learning of Spoken Language with Visual Context", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8769/7847062e7eefec99a8c3aec888e3eef5e5b9.pdf"], "doi": []}, {"id": "19d6b9725a59f4b624205829d5f03ac893ca1367", "title": "Long-Term Visual Object Tracking Benchmark", "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": "2017", "pdf": ["https://arxiv.org/pdf/1712.01358.pdf"], "doi": []}, {"id": "db9509228938a1788cabbad5827dcdb3be40b897", "title": "Using Discriminative Motion Context for Online Visual Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7342929"]}, {"id": "4b6c0a47cd124b521418c9bb63a0c7ba28806fbf", "title": "Exploring Visual and Motion Saliency for Automatic Video Object Extraction", "addresses": [{"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"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6482623"]}, {"id": "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "title": "Comparison of Visual Datasets for Machine Learning", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://rvc.eng.miami.edu/Paper/2017/IRI17_Gauen.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102956", "http://doi.ieeecomputersociety.org/10.1109/IRI.2017.59", "http://doi.org/10.1109/IRI.2017.59", "http://ecommons.luc.edu/cgi/viewcontent.cgi?article=1148&context=cs_facpubs"]}, {"id": "2d79d338c114ece1d97cde1aa06ab4cf17d38254", "title": "iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://crcv.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://ilab.usc.edu/publications/doc/Borji_etal16cvpr.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Borji_iLab-20M_A_Large-Scale_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.244", "http://doi.org/10.1109/CVPR.2016.244"]}, {"id": "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "title": "Exploring Person Context and Local Scene Context for Object Detection.", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08177.pdf"], "doi": []}, {"id": "a480b58babb1a940f857766add5df963c3636ae6", "title": "Visual Object Tracking by Structure Complexity Coefficients", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7117428"]}, {"id": "82070bef06578a24e63b2b739ec86d4d31bb576a", "title": "Dataset Augmentation in Feature Space", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05538.pdf"], "doi": []}, {"id": "373e134970bafb756f0ae2192be09469c3a2d71b", "title": "Holistic Context Models for Visual Recognition", "addresses": [{"name": "University of California at San Diego", "source_name": "Institute for Neural Computation University of California, San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989834"]}, {"id": "d576ebcb4a0fa54825f0ba05eaf18cd8f9bdda80", "title": "360\u00b0 Video Viewing Dataset in Head-Mounted Virtual Reality", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d576/ebcb4a0fa54825f0ba05eaf18cd8f9bdda80.pdf"], "doi": []}, {"id": "aa0dbfcc3cf172971cc5679c02add3f291c8f886", "title": "The dynamics of invariant object recognition in the human visual system.", "addresses": [{"name": "McGovern Institute for Brain Research", "source_name": "McGovern Institute for Brain Research", "street_adddress": "McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.36262950", "lng": "-71.09144810", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/aa0d/bfcc3cf172971cc5679c02add3f291c8f886.pdf"], "doi": []}, {"id": "7335283be19084ad4e7493f72f957741a0c0dce5", "title": "Learning to Place New Objects in a Scene", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1202.1694.pdf"], "doi": []}, {"id": "a754d21f37bbe3e477b6ca83095235699fcf74c9", "title": "Randomized visual phrases for object search", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248042"]}, {"id": "a7d713f3b465feff60a5f897df9618f8c4b53103", "title": "Object-Graphs for Context-Aware Visual Category Discovery", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871652"]}, {"id": "4fc90013e4e2297f33a86db106843917c824d6b9", "title": "Visual object tracking\u2014classical and contemporary approaches", "addresses": [{"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-015-4246-3"]}, {"id": "7df07834ddde670cd6c626025e0c769837e266ea", "title": "Visual Saliency Detection Based Object Recognition", "addresses": [{"name": "Yanshan University", "source_name": "Yanshan University, Qinhuangdao, China", "street_adddress": "438 Hebei Street West Section, Haigang Qu, Qinhuangdao Shi, Hebei Sheng, China", "lat": "39.90450800", "lng": "119.53971900", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7df0/7834ddde670cd6c626025e0c769837e266ea.pdf"], "doi": []}, {"id": "2f17f59c2e3b71ff8d35677b7c0d0949a3f804a8", "title": "The Role of Context Selection in Object Detection", "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"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02948.pdf"], "doi": []}, {"id": "1c300d0cda4177e69c7a442a1c9783dd8bad4776", "title": "Detection-based object labeling in 3D scenes", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6225316"]}, {"id": "23b696300a80c0479d571dadc20e50846e80b82c", "title": "Deep Visual Analogy-Making", "addresses": [{"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": "2015", "pdf": ["https://pdfs.semanticscholar.org/23b6/96300a80c0479d571dadc20e50846e80b82c.pdf"], "doi": []}, {"id": "79b566bd59a04d6ed8aa0bbffe1250cf955e841b", "title": "A dataset for Movie Description", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298940"]}, {"id": "ab43d5c4772f195d8b5fe9e2247458bd97b4af44", "title": "Visual features for context-aware speech recognition", "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7953112"]}, {"id": "03dbc94b54c85cc34815df629fb508c6729e6eab", "title": "LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03365.pdf"], "doi": []}, {"id": "a9a414604cff39f1a03c5547385dc421e6c8452e", "title": "Fully-Convolutional Siamese Networks for Object Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.09549.pdf"], "doi": []}, {"id": "0862940a255d980d46ef041ab20f153276f96214", "title": "3D Object Representations for Fine-Grained Categorization", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://ai.stanford.edu/~jkrause/papers/3drr13.pdf", "http://ai.stanford.edu/~jkrause/papers/3drr_talk.pdf", "http://vision.stanford.edu/pdf/3drr13.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/KrauseStarkDengFei-Fei_3DRR13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W19/papers/Krause_3D_Object_Representations_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755945"]}, {"id": "06064cddc8c3d0f270e09007dbeb27ff320d5e0d", "title": "Similarity-Based Fusion of MEG and fMRI Reveals Spatio-Temporal Dynamics in Human Cortex During Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7133/189b3532d268d581566b5730148fe9296a8d.pdf"], "doi": []}, {"id": "7698ba9fd1f49157ca2666a93311afbf1ff4e66c", "title": "Visual object detection with deformable part models", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2494532"]}, {"id": "0921135d6af30103ed20aa3cd0aadd8d26c3fee1", "title": "Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}, {"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": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6634163"]}, {"id": "d8def3d02cebd52f319486a9512f8364494eaece", "title": "Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://publications.lib.chalmers.se/records/fulltext/201290/local_201290.pdf"], "doi": ["https://doi.org/10.1016/j.trf.2014.08.004"]}, {"id": "1c9047137e58da1590b0a20d392f635aa29a2114", "title": "Randomized Spatial Context for Object Search", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047863"]}, {"id": "8c3ba3145630de8553fb59acfcf9d34bdd20b1ed", "title": "Visual tracking via adaptive structural local sparse appearance model", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247880"]}, {"id": "8dea22172bd3008ec3c8008bc6edfdfe1e33e439", "title": "CityPersons: A Diverse Dataset for Pedestrian Detection", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05693.pdf"], "doi": []}, {"id": "0b0a44fb4b4c22d86b4f9c72ef061c07b179c73d", "title": "Changedetection.net: A new change detection benchmark dataset", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6238919"]}, {"id": "a7bfb6426359140a0bc0c84741ad9a3ac83eff04", "title": "Object-Level Context Modeling For Scene Classification with Context-CNN", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04358.pdf"], "doi": []}, {"id": "16c6e567091d6eea117f50173f7c0e03c4e54ea0", "title": "Contextual Object Detection With Spatial Context Prototypes", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6809976", "http://doi.org/10.1109/TMM.2014.2321534"]}, {"id": "67f3c7fa63f22a2814f7b25fc71c2e60c7b975ff", "title": "Object Templates for Visual Place Categorization", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": ["https://cs.nju.edu.cn/_upload/tpl/00/ed/237/template237/paper/ACCV2012_VPC_ObejctTemplates.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-37447-0_36"]}, {"id": "a4044c27188bd7279e406e0508f4a9548ba909c3", "title": "A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805258"]}, {"id": "7c0773c7578433a2277e919ac824f142d5de351c", "title": "Zero-shot object recognition by semantic manifold distance", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Fu_Zero-Shot_Object_Recognition_2015_CVPR_paper.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/11767/Gong%20Zero-shot%20object%20recognition%202015%20Accepted.pdf?sequence=1", "https://www.eecs.qmul.ac.uk/~sgg/papers/FuEtAl_CVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298879", "http://doi.org/10.1109/CVPR.2015.7298879"]}, {"id": "7fc43874c925ea0dfd4efb97c9595a00fa183afc", "title": "Visual perception based adaptive feature fusion for visual object tracking", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122800"]}, {"id": "7fb8d9c36c23f274f2dd84945dd32ec2cc143de1", "title": "Semantic segmentation with second-order pooling", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/eccv2012.pdf", "http://videolectures.net/site/normal_dl/tag=725540/eccv2012_carreira_semantic_01.pdf", "http://www.eecs.berkeley.edu/~carreira/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33786-4_32"]}, {"id": "280d632ef3234c5ab06018c6eaccead75bc173b3", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "214f552070a7eb5ef5efe0d6ffeaaa594a3c3535", "title": "Learning Everything about Anything: Webly-Supervised Visual Concept Learning", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://allenai.org/content/publications/objectNgrams_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Divvala_Learning_Everything_about_2014_CVPR_paper.pdf", "http://www.istc-cc.cmu.edu/publications/papers/2014/divvala2014lea.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909814", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.412", "http://doi.org/10.1109/CVPR.2014.412"]}]}
\ No newline at end of file
+{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "paper": {"key": "voc", "name": "VOC", "title": "The Pascal Visual Object Classes (VOC) Challenge", "year": "2009", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}]}, "citations": [{"id": "f9d171019bfeb71733fe36f7fae14f342ca9e51c", "title": "Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f9d1/71019bfeb71733fe36f7fae14f342ca9e51c.pdf"], "doi": []}, {"id": "912760092c200d1151900ff0e34acb113de43c3c", "title": "DNN-Train : Benchmarking and Analyzing DNN Training", "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://pdfs.semanticscholar.org/9127/60092c200d1151900ff0e34acb113de43c3c.pdf"], "doi": []}, {"id": "38b4ac4a0802fdb63dea6769dd1aee075cc3f87d", "title": "Boundary-sensitive Network for Portrait Segmentation", "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"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08675.pdf"], "doi": []}, {"id": "25d7da85858a4d89b7de84fd94f0c0a51a9fc67a", "title": "Selective Search for Object Recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": ["http://graphics.cs.cmu.edu/courses/16-824/2016_spring/slides/seg_3.pdf", "http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf", "https://pure.uva.nl/ws/files/19494140/UijlingsIJCV2013.pdf", "https://staff.fnwi.uva.nl/th.gevers/pub/GeversIJCV2013.pdf", "https://webcourse.cs.technion.ac.il/236815/Spring2016/ho/WCFiles/01_object_proposals_6pp.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0620-5"]}, {"id": "1b3be14d267b3302fd0a0ac0be630cdf2a8ba00b", "title": "Color Image Reconstruction with Perceptual Compressive Sensing", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546222", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546222", "http://doi.org/10.1109/ICPR.2018.8546222"]}, {"id": "87e4f376ed8515f04c75bc06f6b4cc7d2b1ecb69", "title": "Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Tarbiat Modares University", "source_name": "Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran", "street_adddress": "Tehran Province, Tehran, Jalal Al Ahmad St, Iran", "lat": "35.72140940", "lng": "51.38155860", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10243.pdf"], "doi": []}, {"id": "06fc643a48464fd8280d11c1189f49afacbd43a4", "title": "Semantic mapping using object-class segmentation of RGB-D images", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany", "source_name": "Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany", "street_adddress": "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "lat": "50.74890520", "lng": "7.20233730", "type": "company", "country": "Germany"}], "year": "2012", "pdf": ["http://ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/theses/Nenad_Biresev_Master_Thesis_03_2012.pdf", "http://www.researchgate.net/profile/Sven_Behnke/publication/230556906_Semantic_Mapping_Using_Object-Class_Segmentation_of_RGB-D_Images/links/0912f5016a98439287000000.pdf", "https://pdfs.semanticscholar.org/06fc/643a48464fd8280d11c1189f49afacbd43a4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385983", "http://doi.org/10.1109/IROS.2012.6385983"]}, {"id": "7f5793c967d53d0a3e88e8bba895336b92d5da90", "title": "Dense interest features for video processing", "addresses": [{"name": "KU Leuven ESAT-PSI, iMinds", "source_name": "KU Leuven ESAT-PSI, iMinds", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026167", "http://doi.org/10.1109/ICIP.2014.7026167"]}, {"id": "fbb4f4959756798aabba8034cb3167756b191811", "title": "Supervised Infinite Feature Selection", "addresses": [{"name": "University of Guilan", "source_name": "University of Guilan, Rasht, Guilan, Iran", "street_adddress": "Rasht, Gilan Province, Iran", "lat": "37.19361670", "lng": "49.64096930", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02665.pdf"], "doi": []}, {"id": "f35953687697b3455fe89b1f07504daaa6ebf4c8", "title": "Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks", "addresses": [{"name": "Naval University of Engineering", "source_name": "Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China", "street_adddress": "717 Jiefang Ave, Qiaokou Qu, Wuhan Shi, Hubei Sheng, China, 430072", "lat": "30.57562020", "lng": "114.24262180", "type": "mil", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7946140", "http://doi.org/10.1109/LGRS.2017.2673118"]}, {"id": "193a69489230de1013dff9af1232e5379cc5282f", "title": "Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia", "source_name": "Integrated Management Coastal Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/193a/69489230de1013dff9af1232e5379cc5282f.pdf"], "doi": []}, {"id": "744108530678ee667b9c1220933bed074794d9e2", "title": "A Scene Recognition and Semantic Analysis Approach to Unhealthy Sitting Posture Detection during Screen-Reading", "addresses": [{"name": "Nanchang University", "source_name": "Nanchang University, Nanchang, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.68352900", "lng": "115.93734700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7441/08530678ee667b9c1220933bed074794d9e2.pdf"], "doi": []}, {"id": "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "title": "2 D-Driven 3 D Object Detection in RGB-D Images", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/225c/318f3143b9b9d6c0f7a87672bd1d9d2901f4.pdf"], "doi": []}, {"id": "693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab", "title": "A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition", "addresses": [{"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": "Chinese Academy of Sciences, Shenzhen, China", "source_name": "Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "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"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/536b/d55a69a5f536fc4450ac4f482d47333b0270.pdf"], "doi": []}, {"id": "e726dd07b6b4e5369f3b6031b36f01cd45cfd645", "title": "Online Spatio-temporal Structural Context Learning for Visual Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3ef1/4559db209f8c399b76a51f1cef294c8136dc.pdf"], "doi": []}, {"id": "0bca0ca7bb642b747797c17a4899206116fb0b25", "title": "Color attributes for object detection", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248068"]}, {"id": "9906a396a67a1b19e98ae8d5d65ca604dfcbf727", "title": "Robust visual tracking based on L1 expanded template", "addresses": [{"name": "Bournemouth University", "source_name": "Bournemouth University", "street_adddress": "Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK", "lat": "50.74223495", "lng": "-1.89433739", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8108954", "http://doi.org/10.1109/ICMLC.2017.8108954"]}, {"id": "1622f0de2d24225ef6ea21003fa94d4a5836aac8", "title": "Deep Bottleneck Feature for Image Classification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749314"]}, {"id": "2e9c4c12a2e18bd0cffbf5180e4475b773517250", "title": "A novel fuzzy feature encoding approach for image classification", "addresses": [{"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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7737815", "http://doi.org/10.1109/FUZZ-IEEE.2016.7737815"]}, {"id": "334a8aa8664637a74217aede4c368058640a8203", "title": "Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358901", "http://doi.org/10.1109/URAI.2015.7358901"]}, {"id": "e7895feb2de9007ea1e47b0ea5952afd5af08b3d", "title": "ME R-CNN: Multi-Expert R-CNN for Object Detection", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01069.pdf"], "doi": []}, {"id": "dc5e9f75235dcb4ec39259f82574cd6ffd3611de", "title": "Analysis of Multi-planar Probability Maps for People Localization in Overlapping Camera Systems", "addresses": [{"name": "UPMC, France", "source_name": "Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France", "street_adddress": "4 Place Jussieu, 75005 Paris, France", "lat": "48.84710360", "lng": "2.35749900", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659031"]}, {"id": "f4901354f843b058bef649d14a9fc67c51943da8", "title": "Poster : Image Suitability for Graphical Passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f490/1354f843b058bef649d14a9fc67c51943da8.pdf"], "doi": []}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "68eb33c49b7cf7d5df056cf0113bd21bb2659151", "title": "What could move? Finding cars, pedestrians and bicyclists in 3D laser data", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://www.robots.ox.ac.uk/~mobile/Papers/2012ICRA_wang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224734", "http://doi.org/10.1109/ICRA.2012.6224734"]}, {"id": "c2a2093b4163616b83398e503ae9ed948f4f6a2b", "title": "A Dual-CNN Model for Multi-label Classification by Leveraging Co-occurrence Dependencies Between Labels", "addresses": [{"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mima.sdu.edu.cn/(X(1)S(ar3myg55nqom1l55ttix5kjj))/Images/publication/Dual-CNN-ML.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-77380-3_30"]}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "cd342fc28d8dcad80e090d2fdfd727a656201c6e", "title": "Algorithm Selection Platform in Real-World Intelligent Systems", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d  \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cd34/2fc28d8dcad80e090d2fdfd727a656201c6e.pdf"], "doi": []}, {"id": "bea1958ecdcc5279672bed0f2ba8de5a84b0ce64", "title": "Towards reasoning based representations: Deep Consistence Seeking Machine", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1389041717300256?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cogsys.2017.08.004"]}, {"id": "23453a37beea310b53419be45fe266bcf243ab49", "title": "Camera based target recognition for maritime awareness", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}, {"name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "source_name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "street_adddress": "Piazza Monte Grappa, 4, 00195 Roma RM, Italy", "lat": "41.91852800", "lng": "12.46855900", "type": "company", "country": "Italy"}], "year": "2012", "pdf": ["http://fusion.isif.org/proceedings/fusion12CD/html/pdf/270_425.pdf", "http://www.dis.uniroma1.it/~bloisi/papers/bloisi-maritime-recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6290543", "http://ieeexplore.ieee.org/document/6290543/"]}, {"id": "28094e414200918e3b3fd0f7e5e3e9d29b092be4", "title": "Optimizing Image Acquisition Systems for Autonomous Driving", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2809/4e414200918e3b3fd0f7e5e3e9d29b092be4.pdf"], "doi": []}, {"id": "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "title": "Training Deep Networks with Structured Layers by Matrix Backpropagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.07838.pdf"], "doi": []}, {"id": "18fe63c013983bea53be7d559ef36a1f385ca6ea", "title": "DR AF T Supervision Beyond Human Annotations for Learning Visual Representations", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/18fe/63c013983bea53be7d559ef36a1f385ca6ea.pdf"], "doi": []}, {"id": "5638516780883fa91827ed095fe2ace103a2f941", "title": "Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025474", "http://doi.org/10.1109/ICIP.2014.7025474"]}, {"id": "5075c16908a72d506aa19e10e12e79ed9383db48", "title": "Lecture 16 : Recognizing Objects by Parts", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5075/c16908a72d506aa19e10e12e79ed9383db48.pdf"], "doi": []}, {"id": "c4ecc025ef8b0e3bb873bca4b504a76bd7d9dc8b", "title": "Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/c4ec/c025ef8b0e3bb873bca4b504a76bd7d9dc8b.pdf"], "doi": []}, {"id": "73883181800edffac983fb110233dd5a50a10c11", "title": "Region-based fully convolutional networks for vertical corner line detection", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266465", "http://doi.org/10.1109/ISPACS.2017.8266465"]}, {"id": "06443cc014711e2e9cb6b8625362b022826d233e", "title": "Accident Forecasting in CCTV Traffic Camera Videos", "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": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05782.pdf"], "doi": []}, {"id": "d0b083befa0034bcd4a1349336fb30158157e6d8", "title": "A Semantic Distance Based Nearest Neighbor Method for Image Annotation", "addresses": [{"name": "Inner Mongolia University", "source_name": "College of Computer Science, Inner Mongolia University, Hohhot, China", "street_adddress": "Saihan, Hohhot, Inner Mongolia, China, 010000", "lat": "40.81426100", "lng": "111.68929800", "type": "edu", "country": "China"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d0b0/83befa0034bcd4a1349336fb30158157e6d8.pdf"], "doi": []}, {"id": "dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb", "title": "Improving Accuracy of the Edgebox Approach", "addresses": [{"name": "Utah State University", "source_name": "Utah State University", "street_adddress": "Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA", "lat": "41.74115040", "lng": "-111.81223090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dbed/fc2f75e3f821cb6a4b82ae85dc4f48ff1cbb.pdf"], "doi": []}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}, {"id": "f4c42c58c6649538c85b85b5357b29793798109b", "title": "Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection", "addresses": [{"name": "Roswell Park Cancer Institute, Buffalo, NY", "source_name": "Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA", "street_adddress": "665 Elm St, Buffalo, NY 14203, USA", "lat": "42.89881950", "lng": "-78.86458720", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7847313", "http://doi.org/10.1109/TMI.2017.2665671", "https://www.ncbi.nlm.nih.gov/pubmed/28186883", "https://www.wikidata.org/entity/Q38967536"]}, {"id": "23834ef411abf22da58d5bd1d9c1cb2896713f62", "title": "Learning Action Primitives for Multi-level Video Event Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2383/4ef411abf22da58d5bd1d9c1cb2896713f62.pdf"], "doi": []}, {"id": "48674565d0737bb422406d757c02042759b635ae", "title": "A benchmark for semantic image segmentation", "addresses": [{"name": "Danang University of Technology", "source_name": "Danang University of Technology, Vietnam", "street_adddress": "54 Nguy\u1ec5n L\u01b0\u01a1ng B\u1eb1ng, Ho\u00e0 Kh\u00e1nh B\u1eafc, Li\u00ean Chi\u1ec3u, \u0110\u00e0 N\u1eb5ng 550000, Vietnam", "lat": "16.07359750", "lng": "108.14994570", "type": "edu", "country": "Vietnam"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": ["http://www.ntu.edu.sg/home/asjfcai/Benchmark_Website/368.pdf", "http://www3.ntu.edu.sg/home/asjfcai/ICME13_Hui_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607512", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607512", "http://doi.org/10.1109/ICME.2013.6607512"]}, {"id": "a1f33473ea3b8e98fee37e32ecbecabc379e07a0", "title": "Image Segmentation by Cascaded Region Agglomeration", "addresses": [{"name": "Toyota Technological Institute, Chicago", "source_name": "Toyota Technological Institute (Chicago, US", "street_adddress": "Toyota Technological Institute, 6045, South Kenwood Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78471120", "lng": "-87.59260567", "type": "edu", "country": "United States"}, {"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": "2013", "pdf": ["http://cs.brown.edu/people/ren/publications/cvpr2013/cascade_final.pdf", "http://ttic.uchicago.edu/~gregory/papers/cascade_cvpr2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Image_Segmentation_by_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619106", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.262", "http://doi.org/10.1109/CVPR.2013.262"]}, {"id": "95785e3ce8cf0360ab328e5eae4cabff5b17308b", "title": "Multi-scale video text detection based on corner and stroke width verification", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706387", "http://doi.org/10.1109/VCIP.2013.6706387"]}, {"id": "128eff1cd06f74a9a7357d291f02dd627c9b22ad", "title": "Close-Range Human Detection for Head-Mounted Cameras", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/128e/ff1cd06f74a9a7357d291f02dd627c9b22ad.pdf"], "doi": []}, {"id": "7acd36ba0b59849d49bfc01cef11d18d2bcad76f", "title": "Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells.", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10804.pdf"], "doi": []}, {"id": "1a20ddce2349bc995dceea66cd2378f8888c8027", "title": "SAN: Learning Relationship Between Convolutional Features for Multi-scale Object Detection", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04974.pdf"], "doi": []}, {"id": "4e65c9f0a64b6a4333b12e2adc3861ad75aca83b", "title": "Image Classification Using Super-Vector Coding of Local Image Descriptors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "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": "2010", "pdf": ["https://pdfs.semanticscholar.org/4e65/c9f0a64b6a4333b12e2adc3861ad75aca83b.pdf"], "doi": []}, {"id": "9a5516d8752202f5d6e542a983dc2e7fe59013e4", "title": "Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data", "addresses": [{"name": "Kookmin University", "source_name": "Kookmin University", "street_adddress": "\uad6d\ubbfc\ub300\ud559\uad50\uc55e, \uc815\ub989\ub85c, \uc815\ub9892\ub3d9, \uc815\ub989\ub3d9, \uc131\ubd81\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02708, \ub300\ud55c\ubbfc\uad6d", "lat": "37.61075540", "lng": "126.99466350", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622161", "http://doi.org/10.1109/BigData.2018.8622161"]}, {"id": "7888a3dc1b9a7516f940f4a3f4316584e4f41b35", "title": "Effects of target typicality on categorical search.", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7888/a3dc1b9a7516f940f4a3f4316584e4f41b35.pdf"], "doi": []}, {"id": "dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f", "title": "Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dfd5/2ff9957c91dfbf3780ffffea2cc8ea6de81f.pdf"], "doi": []}, {"id": "7675774227157bec91218d6798680f58deaf8bb3", "title": "Learning View Priors for Single-view 3D Reconstruction.", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10719.pdf"], "doi": []}, {"id": "2385007824daaf9eac9476fccb1501b7ac166ceb", "title": "Task-driven Visual Saliency and Attention-based Visual Question Answering", "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/1702.06700.pdf"], "doi": []}, {"id": "c3d98891a2879b966bd90e0bb9299c3d2a91be6e", "title": "Webly-supervised visual concept learning with cardinality guided instance mining and clustered multitask refinement", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2017%5CConference%5C2017-ICME-CV-NISAIJIE%5C08019489.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019489", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019489", "http://doi.org/10.1109/ICME.2017.8019489"]}, {"id": "9f4078773c8ea3f37951bf617dbce1d4b3795839", "title": "Leveraging Inexpensive Supervision Signals for Visual Learning", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/9f40/78773c8ea3f37951bf617dbce1d4b3795839.pdf"], "doi": []}, {"id": "280895aa15bc8308f919d4cad666e826e82608f4", "title": "Curious George: An Integrated Visual Search Platform", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://www.cs.ubc.ca/labs/lci/curious_george/pubs/meger_srvc_crv_2010.pdf", "http://www.cs.ubc.ca/~little/links/linked-papers/megerCRV2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5479479", "http://doi.ieeecomputersociety.org/10.1109/CRV.2010.21", "http://doi.org/10.1109/CRV.2010.21"]}, {"id": "a7edb6726667875e3ebebe17065779be7cbf5623", "title": "Efficient Cross-Domain Image Retrieval by Multi-Level Matching and Spatial Verification for Structural Similarity", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2655032"]}, {"id": "3b4f6956aba3c0a8c444349868b2263d3124aa66", "title": "Seeded Laplacian: An interactive image segmentation approach using eigenfunctions", "addresses": [{"name": "Engineering Mathematics - Computer and Systems Engineering", "source_name": "Engineering Mathematics - Computer and Systems Engineering", "street_adddress": "110 8th St, Troy, NY 12180, USA", "lat": "42.72962060", "lng": "-73.68029310", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ahmed-taha.com/wp-content/uploads/2015/09/icip2015_presentation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350749", "http://doi.org/10.1109/ICIP.2015.7350749"]}, {"id": "0547c44cb896e1cc38130ae8cc6b04dc21179045", "title": "Fast-Match: Fast Affine Template Matching", "addresses": [{"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"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"}, {"name": "Weizmann Institute, Rehovot, Israel", "source_name": "Weizmann Institute, Rehovot, Israel", "street_adddress": "Weizmann Institute, Rehovot, Israel", "lat": "31.90418700", "lng": "34.80737800", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research Labs, Haifa, Israel", "source_name": "Yahoo Research Labs, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/FastMatch_cvpr_2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c331.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Korman_FasT-Match_Fast_Affine_2013_CVPR_paper.pdf", "http://www.eng.tau.ac.il/~simonk/FastMatch/FastMatch_net_construction.pdf", "http://www.eng.tau.ac.il/~simonk/publications/FastMatch_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0926-1", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619146"]}, {"id": "788d2921dedf20464a09c1038a5c2f06d2ff54a7", "title": "Towards the Internet of Services: The THESEUS Research Program", "addresses": [{"name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "source_name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "street_adddress": "Otto-Hahn-Ring 6, 81739 M\u00fcnchen, Germany", "lat": "48.09159280", "lng": "11.64982970", "type": "company", "country": "Germany"}, {"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH,  Saarbr\u00fccken, Germany", "source_name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH,  Saarbr\u00fccken, Germany", "street_adddress": "Campus D3 2, 66123 Saarbr\u00fccken, Germany", "lat": "49.25681100", "lng": "7.04217100", "type": "edu", "country": "Germany"}, {"name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "source_name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "street_adddress": "Europaallee 10, 67657 Kaiserslautern, Germany", "lat": "49.45618650", "lng": "7.80415990", "type": "edu", "country": "Belgium"}, {"name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "source_name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "street_adddress": "Einsteinufer 37, 10587 Berlin, Germany", "lat": "52.51629000", "lng": "13.32500000", "type": "edu", "country": "Germany"}, {"name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "source_name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "street_adddress": "Hasso-Plattner-Ring 7, 69190 Walldorf, Germany", "lat": "49.29446970", "lng": "8.63673580", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-06755-1"]}, {"id": "625c8f0309d4664a4594cb8a6d9116c22848f8c9", "title": "Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7091017", "http://doi.org/10.1109/TMM.2015.2425143"]}, {"id": "a04e5495fa71a459459ad92f7a4a447ffe4c373a", "title": "Learning to Segment Object Candidates via Recursive Neural Networks", "addresses": [{"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://export.arxiv.org/pdf/1612.01057"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418394", "http://doi.org/10.1109/TIP.2018.2859025", "https://www.ncbi.nlm.nih.gov/pubmed/30040644"]}, {"id": "393d34faf86df2c9d8246a7d6ba669133fe9207d", "title": "Visual tracking of a moving object via the soft cosine measure", "addresses": [{"name": "Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez", "source_name": "LIIAN Laboratory, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco", "street_adddress": "Fes 30050, Morocco", "lat": "34.03343710", "lng": "-4.97686630", "type": "edu", "country": "Morocco"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075521", "http://doi.org/10.1109/ATSIP.2017.8075521"]}, {"id": "a6b553a00e60cd1d33f91dc726fa0216728c20e9", "title": "Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384735", "http://doi.org/10.1109/TPAMI.2016.2519021", "https://www.ncbi.nlm.nih.gov/pubmed/26800528", "https://www.wikidata.org/entity/Q50538843"]}, {"id": "b3d8705d46a1d63b40a76bbcf8822b2e90b3b9ad", "title": "Efficient Labelling of Pedestrian Supervisions", "addresses": [{"name": "UCSI University", "source_name": "Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia", "street_adddress": "Persiaran Alam Damai, Alam Damai, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia", "lat": "3.07740920", "lng": "101.73212300", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b3d8/705d46a1d63b40a76bbcf8822b2e90b3b9ad.pdf"], "doi": []}, {"id": "59b21f61ac46e1f982cbd9f49cb855ba5fcd3c45", "title": "CCNY at TRECVID 2014 : Surveillance Event Detection", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8028/6720d33e63f470f43db4723a58bdc6d8b450.pdf"], "doi": []}, {"id": "d13c01d8218ddc744dffb040a8dce055ebd3000f", "title": "ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)", "addresses": [{"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": "Rochester University", "source_name": "Computer Science Depart., Rochester University, USA", "street_adddress": "Computer Studies Building, Intercampus Dr #734, Rochester, NY 14620, USA", "lat": "43.12504330", "lng": "-77.62978540", "type": "edu", "country": "United States"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "EIS, Huazhong Univ. Sci. and Tech., China", "source_name": "EIS, Huazhong Univ. Sci. and Tech., China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"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"}, {"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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546163", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546163", "http://doi.org/10.1109/ICPR.2018.8546163"]}, {"id": "64b9675e924974fdec78a7272b27c7e7ec63a608", "title": "Depth-aware object instance segmentation", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"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": ["http://www.cs.umanitoba.ca/~ywang/papers/icip17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296296", "http://doi.org/10.1109/ICIP.2017.8296296"]}, {"id": "8680cec120c3717c2178aafdf45186fd04d49875", "title": "Automatic graphic logo detection via Fast Region-based Convolutional Networks", "addresses": [{"name": "University of Coimbra", "source_name": "University of Coimbra", "street_adddress": "Reitoria da Universidade de Coimbra, Rua de Entre-Col\u00e9gios, Almedina, Alta, Almedina, S\u00e9 Nova, Santa Cruz, Almedina e S\u00e3o Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal", "lat": "40.20759510", "lng": "-8.42566148", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06083.pdf"], "doi": []}, {"id": "4980511ea7ac286b7fff0456216425287bc9a083", "title": "Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph", "addresses": [{"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4980/511ea7ac286b7fff0456216425287bc9a083.pdf"], "doi": []}, {"id": "ab5eb89bd154b43d1704657eb56d7ba5fc0d0138", "title": "Investigations of an \" Objectness \" Measure for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ab5e/b89bd154b43d1704657eb56d7ba5fc0d0138.pdf"], "doi": []}, {"id": "a609d96399ea52d4d1026b416f181581af0e6fbc", "title": "A random-forest random field approach for cellular image segmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868103", "http://doi.org/10.1109/ISBI.2014.6868103"]}, {"id": "d6d7dcdcf66fe83e49d175cd9d8ac0b507d0e9d8", "title": "Recovering Occlusion Boundaries from an Image", "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", "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": "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": "2010", "pdf": ["http://dhoiem.cs.illinois.edu/publications/ijcv2010_occlusion.pdf"], "doi": ["https://doi.org/10.1007/s11263-010-0400-4"]}, {"id": "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "title": "Weakly supervised human body detection under arbitrary poses", "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": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/conference/2016/CYWICIP-2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532427", "http://doi.org/10.1109/ICIP.2016.7532427"]}, {"id": "295bc82821cfde872a8c1baeec8594f3bdb94ae4", "title": "Structured Weak Semantic Space Construction for Visual Categorization", "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"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8008774", "http://doi.org/10.1109/TNNLS.2017.2728060", "https://www.ncbi.nlm.nih.gov/pubmed/28809716", "https://www.wikidata.org/entity/Q38372181"]}, {"id": "131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8", "title": "Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677517", "http://doi.org/10.1109/TMM.2013.2293424", "http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2955&context=sis_research"]}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"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": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "f832fdf1fac092b4140bf81d38e6bc6af5c1ea65", "title": "Instance-Level Human Parsing via Part Grouping Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00157.pdf"], "doi": []}, {"id": "83b2dc1b81e5dd420bc030a8d67b5ed36b5b0c5e", "title": "Supervised hierarchical Pitman-Yor process for natural scene segmentation", "addresses": [{"name": "ICSI, UC Berkeley", "source_name": "ICSI, UC Berkeley", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/shyr_etal_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995647", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995647", "http://doi.org/10.1109/CVPR.2011.5995647"]}, {"id": "3027c9d0659a89c3bbad1c7e31c474e8dd4f934d", "title": "Automatic Extraction of Built-Up Areas From Panchromatic and Multispectral Remote Sensing Images Using Double-Stream Deep Convolutional Neural Networks", "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": "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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477097", "http://doi.org/10.1109/JSTARS.2018.2871046"]}, {"id": "4699af09d3d52f9a97d13f5690bcbf580959d3cf", "title": "YOLOv 3 : An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4699/af09d3d52f9a97d13f5690bcbf580959d3cf.pdf"], "doi": []}, {"id": "10f13579084670291019c6e8ef55f5cd35c926b6", "title": "Closed-Form Approximate CRF Training for Scalable Image Segmentation", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7088/0e0ba2478c7250918ee9b7accc6993d13ba4.pdf"], "doi": []}, {"id": "c14c2c3b9bbb3b232f601042fe9fde5fa450e595", "title": "Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01031.pdf"], "doi": []}, {"id": "19a3e5495b420c1f5da283bf39708a6e833a6cc5", "title": "Attributes and categories for generic instance search from one example", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tao_Attributes_and_Categories_2015_CVPR_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2015/TaoCVPR2015/TaoCVPR2015.pdf", "https://pure.uva.nl/ws/files/2571573/167606_TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298613", "http://doi.org/10.1109/CVPR.2015.7298613"]}, {"id": "b61ae8216a7c3a5a3202478cd6f18bf3014e2342", "title": "Robust Pedestrian Detection by Combining Visible and Thermal Infrared Cameras", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1f50/d437901304a20f17713bc4a1935f842c57fa.pdf"], "doi": []}, {"id": "c17b85fc95591573bc356650522d303f8d76aeb9", "title": "Robust Structural Sparse Tracking", "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 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": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami18_rsst.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267329", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2797082", "http://doi.org/10.1109/TPAMI.2018.2797082", "https://www.ncbi.nlm.nih.gov/pubmed/29994599"]}, {"id": "922cd0026bd6e5cf60f901f080c8bdddeae72c1a", "title": "Deep CNN Ensemble with Data Augmentation for Object Detection", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07224.pdf"], "doi": []}, {"id": "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "title": "Asking for Help with the Right Question by Predicting Human Visual Performance", "addresses": [{"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebbc/4569b767323c5bf6917c0efdce5d172e721d.pdf"], "doi": []}, {"id": "78611941ba25ea5e3d850a940c9e3a293798a08d", "title": "A Semi-Supervised Image Classification Model Based on Improved Ensemble Projection Algorithm", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8125090", "http://doi.org/10.1109/ACCESS.2017.2778881"]}, {"id": "579f0108283f119227de6a485069cda3c7945fa3", "title": "Deep neural networks can be improved using human-derived contextual expectations", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/579f/0108283f119227de6a485069cda3c7945fa3.pdf"], "doi": []}, {"id": "0e2af97f07625cb3cf5e30f1c9d807124cbbc850", "title": "From Large Scale Image Categorization to Entry-Level Categories", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://acberg.com/papers/naming_iccv2013.pdf", "http://cse.umich.edu/cse/awards/pdfs/naming_iccv2013.pdf", "http://web.missouri.edu/~hantx/ECE8001/Presentation_papers/From%20Large%20Scale%20Image%20Categorization%20to%20Entry-Level%20Categories.pdf", "http://www.cs.unc.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cs.virginia.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Ordonez_From_Large_Scale_2013_ICCV_paper.pdf", "http://www.tamaraberg.com/papers/entrylevel.pdf", "https://web.cs.hacettepe.edu.tr/~nazli/courses/bil722/slides/week8_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751455", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.344", "http://doi.org/10.1109/ICCV.2013.344"]}, {"id": "09ae02eb0359363134a7a5ca912ea60769b07031", "title": "A Smoother Way to Train Structured Prediction Models", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.03228.pdf"], "doi": []}, {"id": "6c289ce7cd1c8514f71bf7dc25b1b203b98f8129", "title": "Semantic-Aware Image Smoothing", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c28/9ce7cd1c8514f71bf7dc25b1b203b98f8129.pdf"], "doi": []}, {"id": "8587d26cbcff3e86b5acff0467e10c8f2069f4e7", "title": "FigureSeer: Parsing Result-Figures in Research Papers", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8587/d26cbcff3e86b5acff0467e10c8f2069f4e7.pdf"], "doi": []}, {"id": "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "title": "Tabula rasa: Model transfer for object category detection", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://cs.brown.edu/~ls/teaching_CMU_16-824/slides_tz-1.pdf", "http://eprints.pascal-network.org/archive/00008313/01/aytar11.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/elad-paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/aytar11.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126504", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126504", "http://doi.org/10.1109/ICCV.2011.6126504"]}, {"id": "c43c6fd93f1d171487ac2d35d4744199db69f244", "title": "Use of convolutional neural networks to automate the detection of wildlife from remote cameras", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274594"]}, {"id": "848db2f0758c314ddbc0bc4030633501df3a9276", "title": "TextMountain: Accurate Scene Text Detection via Instance Segmentation", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12786.pdf"], "doi": []}, {"id": "2c149eff297ffe7d762fd453571fb7cb1761d7a5", "title": "In Defence of Negative Mining for Annotating Weakly Labelled Data", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2c14/9eff297ffe7d762fd453571fb7cb1761d7a5.pdf"], "doi": []}, {"id": "2b0d2b5a536e2eaa6a1cdab6f1e8d11f602abdab", "title": "Annotating images with suggestions: user study of a tagging system", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://www.fit.vutbr.cz/research/view_pub.php?file=/pub/9990/HRADIS-ACIVS-2012.pdf&id=9990", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-33140-4_14"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_14"]}, {"id": "c8e1d80dc02d6b51eec0cd6be46da16b304c3e0d", "title": "Water region detection supporting ship identification in port surveillance", "addresses": [{"name": "ViNotion B.V., Eindhoven, The Netherlands", "source_name": "ViNotion B.V., Eindhoven, The Netherlands", "street_adddress": "Daalakkersweg 2-58, 5641 JA Eindhoven, Netherlands", "lat": "51.44683540", "lng": "5.52236030", "type": "edu", "country": "Netherlands"}, {"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["http://vca.ele.tue.nl/publications/data/XBao2012b.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_39"]}, {"id": "f72f6a45ee240cc99296a287ff725aaa7e7ebb35", "title": "Pedestrian Detection: An Evaluation of the State of the Art", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "MPI Informatics, Saabrucken", "source_name": "MPI Informatics, Saabrucken", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5975165"]}, {"id": "3b5787604b619c273bf98232b0bd3bce5d4a34ee", "title": "Learning Discriminative Hidden Structural Parts for Visual Tracking", "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": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop12/pdffiles/w12-o4.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-16634-6_20"]}, {"id": "3bb1c6290b208cda17f1142215c952e40761769d", "title": "Fast and accurate object detection in high resolution 4K and 8K video using GPUs", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10551.pdf"], "doi": []}, {"id": "087337fdad69caaab8ebd8ae68a731c5bf2e8b14", "title": "Fully Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4038.pdf"], "doi": []}, {"id": "bcd5412df9e3418ecedba9b95ab1d6ab506b5665", "title": "High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits", "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/1704.02205.pdf"], "doi": []}, {"id": "4aa286914f17cd8cefa0320e41800a99c142a1cd", "title": "Leveraging Context to Support Automated Food Recognition in Restaurants", "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": "2015", "pdf": ["https://arxiv.org/pdf/1510.02078.pdf"], "doi": []}, {"id": "eea9994c71831219aacd537f5f4ab8a91110a7e2", "title": "Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08707.pdf"], "doi": []}, {"id": "20b038c50cc7148dfb364e2de51cde120c907c9f", "title": "Integrated perception with recurrent multi-task neural networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01735.pdf"], "doi": []}, {"id": "bb1625e1955e9453221244b755539929ca86b4a3", "title": "Data Decomposition and Spatial Mixture Modeling for Part Based Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/bb16/25e1955e9453221244b755539929ca86b4a3.pdf"], "doi": []}, {"id": "d11ba0deeefda19ff30c4b532aa1a85fc07389c7", "title": "An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6891238", "http://doi.org/10.1109/TCYB.2014.2350517", "https://www.ncbi.nlm.nih.gov/pubmed/25204006", "https://www.wikidata.org/entity/Q38423944"]}, {"id": "732cfdb92061c660ce55743b07bdad6657c4aa5b", "title": "LifeCLEF: Multimedia life species identification", "addresses": [{"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/732c/fdb92061c660ce55743b07bdad6657c4aa5b.pdf"], "doi": []}, {"id": "205e895e03969c96f3c482b0bd26308b16a12bd0", "title": "Image Captioning with an Intermediate Attributes Layer", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/205e/895e03969c96f3c482b0bd26308b16a12bd0.pdf"], "doi": []}, {"id": "6826ae2e1598be376f5b64f302172bebc57b64cb", "title": "Foreground Object Segmentation with Objectness Measure", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6826/ae2e1598be376f5b64f302172bebc57b64cb.pdf"], "doi": []}, {"id": "dc5fc803b64b49217babab378efe29f35b697d2f", "title": "Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"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"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-017-1752-9"]}, {"id": "be99cefefa264f6070f56f1fe4c07151e360ff3a", "title": "A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/be99/cefefa264f6070f56f1fe4c07151e360ff3a.pdf"], "doi": []}, {"id": "d3edc100c6577abba414f6c0a16e4c3921e68bff", "title": "Visual Turing test for computer vision systems.", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/050d/a5d159fb0dd96143948e1cffeb3dec814673.pdf"], "doi": []}, {"id": "39a0c15fbd6c6b3f9e6ceb51098e60d5dfaa11fe", "title": "Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3744.pdf"], "doi": []}, {"id": "fdfd57d4721174eba288e501c0c120ad076cdca8", "title": "An Analysis of Action Recognition Datasets for Language and Vision Tasks", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07129.pdf"], "doi": []}, {"id": "ee42895807a375adec78c8221ecfcba01b0cb7ce", "title": "Deep TEN: Texture Encoding Network", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02844.pdf"], "doi": []}, {"id": "0f0a5d8a7a087204026a6b67000887dbf5b6a20f", "title": "Generating objects going well with the surroundings", "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/1807.02925.pdf"], "doi": []}, {"id": "0585a2f480e9fed934e415bee8e03e5e13abf035", "title": "A Novel Linelet-Based Representation for Line Segment Detection", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}, {"name": "John Hopkins University", "source_name": "John Hopkins University, Baltimore, MD", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.jhu.edu/~alanlab/Pubs17/cho2017novel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926451", "http://doi.org/10.1109/TPAMI.2017.2703841", "https://www.ncbi.nlm.nih.gov/pubmed/28504933", "https://www.wikidata.org/entity/Q40469583"]}, {"id": "5eee4151201258ca75202057baf00a9774ccef38", "title": "DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments", "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": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593691"]}, {"id": "27f0757c5896f81ef6e13d5284252dcc1174a0ff", "title": "The Impact of Human\u2013Robot Interfaces on the Learning of Visual Objects", "addresses": [{"name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech", "source_name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech, 91762 Palaiseau, France", "street_adddress": "828 Boulevard des Mar\u00e9chaux, 91120 Palaiseau, France", "lat": "48.71073390", "lng": "2.21805010", "type": "edu", "country": "France"}, {"name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech", "source_name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech, 33405 Talence, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6384810"]}, {"id": "0a8dad1cb9004ccf45611fe4d2652a82cd5326df", "title": "Do More Dropouts in Pool5 Feature Maps for Better Object Detection", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.6911.pdf"], "doi": []}, {"id": "b6946370d6c13d562b96e42d494817c7d1969a8f", "title": "Refining Bounding-Box Regression for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b694/6370d6c13d562b96e42d494817c7d1969a8f.pdf"], "doi": []}, {"id": "6f7de9849be93eff1c5f133defd9d70e5ff437ac", "title": "AttentionNet: Aggregating Weak Directions for Accurate Object Detection", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07704.pdf"], "doi": []}, {"id": "6bb19408458dbae075be7f1612b969b565b4767a", "title": "Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Minh_Approximate_Log-Hilbert-Schmidt_Distances_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780930", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.561", "http://doi.org/10.1109/CVPR.2016.561"]}, {"id": "a73c551da8d69f04e2be7c3f5c7125532e194935", "title": "A Research and Strategy of Objection Detection on Remote Sensing Image", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477209", "http://doi.ieeecomputersociety.org/10.1109/SERA.2018.8477209", "http://doi.org/10.1109/SERA.2018.8477209"]}, {"id": "8d2459ada191d496eeee70f1e817d0ba92075160", "title": "The evaluation of different approaches towards using Kinect sensor as a Laser scanner", "addresses": [{"name": "University of Gothenburg", "source_name": "University of Gothenburg, Gothenburg, Sweden", "street_adddress": "405 30 Gothenburg, Sweden", "lat": "57.69817190", "lng": "11.97187800", "type": "edu", "country": "Sweden"}, {"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8d24/59ada191d496eeee70f1e817d0ba92075160.pdf"], "doi": []}, {"id": "09dace372d15fa3381ade36f5cf892b5ce15a982", "title": "Efficient human computation: the distributed labeling problem", "addresses": [{"name": "Intel Israel, Haifa, Israel", "source_name": "Intel Israel, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.78981240", "lng": "34.96096980", "type": "edu", "country": "Israel"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1600174"]}, {"id": "9cbd49a55724da2249ac1810b9e6d31f5d41a4ac", "title": "Viewpoint-aware object detection and continuous pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://www.weizmann.ac.il/math/meirav/sites/math.meirav/files/uploads/viewpoint_aware_object_detection.pdf", "http://www.wisdom.weizmann.ac.il/~vision/viewpoint-aware/files/GGABS12.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2012.09.006"]}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "addresses": [{"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"], "doi": []}, {"id": "44a3ee0429a6d1b79d431b4d396962175c28ace6", "title": "Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers", "addresses": [{"name": "NEC", "source_name": "NEC Laboratories America, Inc., Cupertino, CA, USA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.nec-labs.com/uploads/images/Department-Images/MediaAnalytics/papers/cvpr16_scaledependentpooling.pdf", "http://www.umiacs.umd.edu/~fyang/papers/cvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780603", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.234", "http://doi.org/10.1109/CVPR.2016.234"]}, {"id": "741637b8b6e4fdd30cb40b3881f29c3377eb4749", "title": "Figure-Ground Segmentation - Object-Based", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": [], "doi": ["http://doi.org/10.1007/978-0-85729-997-0_4"]}, {"id": "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "title": "Are we ready for autonomous driving? The KITTI vision benchmark suite", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.3dgi.ch/mm2013/images/MM2013%20-%20Lenz%20-%20AreWeReadyForAutonomousDriving-TheKittiVisionBenchmarkSuite.pdf", "http://www.cs.toronto.edu/~urtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.cvlibs.net/publications/Geiger2012CVPR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248074", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248074", "http://doi.org/10.1109/CVPR.2012.6248074"]}, {"id": "8047586d2223f3076a1fc028197f54d0997bccfc", "title": "Pelee: A Real-Time Object Detection System on Mobile Devices", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06882.pdf"], "doi": []}, {"id": "51a162f6d21e48c3731aec8f676ba7c18c65bd26", "title": "From trajectories to behaviors : an algorithm to track and describe dancing birds", "addresses": [{"name": "University of Salerno", "source_name": "Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy", "street_adddress": "Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.76871180", "lng": "14.79201790", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/51a1/62f6d21e48c3731aec8f676ba7c18c65bd26.pdf"], "doi": []}, {"id": "b1045a2de35d0adf784353f90972118bc1162f8d", "title": "Quantifying and Transferring Contextual Information in Object Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"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": "2012", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Quantifying%20and%20Transferring%20Contextual%20Information%20in%20Object%20Detection.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengGongXiang_PAMI2011.pdf", "http://www.eecs.qmul.ac.uk/~txiang/publications/ZhengGongXiang_PAMI2011.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/2539/ZHENGQuantifyingand2012POST.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989823", "http://doi.org/10.1109/TPAMI.2011.164", "https://www.ncbi.nlm.nih.gov/pubmed/21844619", "https://www.wikidata.org/entity/Q45327033"]}, {"id": "58b99c3d5a0d3d1b567ae5c1d963abecc4d72d70", "title": "Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/847e/cfa4dcd1a397144d24dfc49fcb05ffeff17c.pdf"], "doi": []}, {"id": "9eadb634ec92c7ae7335ac8eb85ef05bd77dd9c6", "title": "Histograms of locally aggregated oriented gradients", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351004", "http://doi.org/10.1109/ICIP.2015.7351004"]}, {"id": "f8599ad5332cdf2c9919988ba300bb4b438b5834", "title": "Transitive Invariance for Self-Supervised Visual Representation Learning", "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": "2017", "pdf": ["https://arxiv.org/pdf/1708.02901.pdf"], "doi": []}, {"id": "006a4d9a06ee8d36bbc9187b2015c206c80a8aff", "title": "Spectral GeometricMethods for Deformable 3 D Shape Retrieval", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/006a/4d9a06ee8d36bbc9187b2015c206c80a8aff.pdf"], "doi": []}, {"id": "49d83e2fc70dc00130ac9eacab498a96abaa0300", "title": "Advances in Multimedia Information Processing \u2013 PCM 2018", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-00776-8"]}, {"id": "9ff973fe3f2541712b7a5f413ad0c32b03e710a4", "title": "Discovering Object Classes from Activities", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9ff9/73fe3f2541712b7a5f413ad0c32b03e710a4.pdf"], "doi": []}, {"id": "f334b6abbab88dcf562be2de4d7fe16f15997cf5", "title": "Fast Image-Based Geometric Change Detection Given a 3D Model", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461019", "http://doi.org/10.1109/ICRA.2018.8461019"]}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "7fdab95ff454a900c710f464c1129cd173059912", "title": "Pattern Recognition and Image Analysis", "addresses": [{"name": "INESC and University of Porto", "source_name": "INESC and University of Porto, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "source_name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "University of Alicante", "source_name": "University of Alicante, Alicante, Spain", "street_adddress": "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "lat": "38.38524460", "lng": "-0.51431610", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-642-38628-2", "https://www.wikidata.org/entity/Q57715006"]}, {"id": "8ec2485e616c935aa82645783096abcd25547cae", "title": "Accurate small object detection via density map aided saliency estimation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296316", "http://doi.org/10.1109/ICIP.2017.8296316"]}, {"id": "072b298bdb1f4330fbab7c43e5d5e74f2bac6dac", "title": "Audio-visual grouplet: temporal audio-visual interactions for general video concept classification", "addresses": [{"name": "Eastman Kodak", "source_name": "Eastman Kodak Company, Rochester, NY, USA", "street_adddress": "343 State St, Rochester, NY 14650, USA", "lat": "43.16080570", "lng": "-77.61967110", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2072316"]}, {"id": "b28ae44e3a69f8f822230bdc5fdcad0633eaf26f", "title": "KidPen: a stroke-based method for kid-style sketches synthesis from photos", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3149434"]}, {"id": "e87ea5fa265eadb7f68f8f06beabfb056e06579a", "title": "Improving Fully Convolution Network for Semantic Segmentation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08986.pdf"], "doi": []}, {"id": "bfea962697e9b445b89a865b465ae967dd55b4fe", "title": "Efficient object detection via structured learning and local classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bfea/962697e9b445b89a865b465ae967dd55b4fe.pdf"], "doi": []}, {"id": "3d2bf56bf8efb0459c0303526436ac320d237b13", "title": "Objectness estimation using edges", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351584", "http://doi.org/10.1109/ICIP.2015.7351584"]}, {"id": "0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e", "title": "Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00609.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "5cc22f65bf4e5c0aa61f3139da832d3a946e15cf", "title": "Path Aggregation Network for Instance Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"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": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.01534.pdf"], "doi": []}, {"id": "b54200cc65046e1d29329bded3eaa741f45063e4", "title": "Learning Deep Representations and Detection of Docking Stations Using Underwater Imaging", "addresses": [{"name": "RIKEN Center for AIP, Tokyo, Japan", "source_name": "RIKEN Center for AIP, Tokyo, Japan", "street_adddress": "Japan, \u3012103-0027 Tokyo, Ch\u016b\u014d, Nihonbashi, 1 Chome\u22124\u2212\uff11 \u65e5\u672c\u6a4b\u4e00\u4e01\u76ee\u4e09\u4e95\u30d3\u30eb\u30c7\u30a3\u30f3\u30b0 15\u968e", "lat": "35.68253370", "lng": "139.77463210", "type": "edu", "country": "Japan"}, {"name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "source_name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "street_adddress": "Shenyang, Liaoning, China", "lat": "41.80569900", "lng": "123.43147200", "type": "edu", "country": "China"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559067"]}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "0c77f42e8d530b542a534087b24dd8a21e8781cf", "title": "Source ( synthetic ) Target ( real ) feature dimension 1 feature dim ension", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0c77/f42e8d530b542a534087b24dd8a21e8781cf.pdf"], "doi": []}, {"id": "e64fa00da02cc774559db5be88bc2862afbfd432", "title": "Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e64f/a00da02cc774559db5be88bc2862afbfd432.pdf"], "doi": []}, {"id": "0faeec0d1c51623a511adb779dabb1e721a6309b", "title": "Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California at Los Angeles", "source_name": "University of California at Los Angeles, Los Angeles, CA", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "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"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "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"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "National University of Ireland Maynooth", "source_name": "National University of Ireland Maynooth", "street_adddress": "National University of Ireland Maynooth, River Apartments, Maynooth, Maynooth ED, Maynooth Municipal District, County Kildare, Leinster, KILDARE, Ireland", "lat": "53.38469750", "lng": "-6.60039458", "type": "edu", "country": "Ireland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc33/f15900ad4f11f79f5af849449bd244103427.pdf"], "doi": []}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "5ca467072ec40acb1b6bbf59f1119300741c0aba", "title": "Content-Based Photo Quality Assessment", "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": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/cvpr11_WLuo_XWang_XTang.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/luoWTiccv11.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/tangLWtmm13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6544270", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126498", "http://doi.org/10.1109/ICCV.2011.6126498", "https://doi.org/10.1109/TMM.2013.2269899"]}, {"id": "c4fc07072d7ebfbca471d2394b20199d8107e517", "title": "Active Mask Hierarchies for Object Detection", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c4fc/07072d7ebfbca471d2394b20199d8107e517.pdf"], "doi": []}, {"id": "8ff7743abd160763dcd12c8404d65477339a0e81", "title": "Fine-Grained Categorization for 3D Scene Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8ff7/743abd160763dcd12c8404d65477339a0e81.pdf"], "doi": []}, {"id": "ffc2f8c1bf568b913427d1702d75306311df3d5b", "title": "Orientation robust object detection in aerial images using deep convolutional neural network", "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": "2015", "pdf": ["http://www.ucassdl.cn/publication/zhg_ICIP2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351502", "http://doi.org/10.1109/ICIP.2015.7351502"]}, {"id": "a05b7a206c86b3928746cce935f6f85d534a43cd", "title": "Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning", "addresses": [{"name": "Shandong University of Traditional Chinese Medicine", "source_name": "College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China", "street_adddress": "China, Shandong, Jinan, Lixia, \u7ecf\u5341\u8def16369", "lat": "36.65015600", "lng": "117.04613800", "type": "edu", "country": "China"}, {"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "Digital Image Group (DIG), London, Canada", "source_name": "Digital Image Group (DIG), London, Canada", "street_adddress": "London, ON, Canada", "lat": "42.98492330", "lng": "-81.24527680", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/PathogenesisSpine.pdf"], "doi": ["http://doi.org/10.1007/s12021-018-9365-1", "https://www.ncbi.nlm.nih.gov/pubmed/29450848", "https://www.wikidata.org/entity/Q49946900"]}, {"id": "50612493253f5cea7ecf406e9a8d75382b96a83e", "title": "How do humans sketch objects?", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2185540"]}, {"id": "35f345ebe3831e4741dcdc1931da59043acf4b83", "title": "Towards High Performance Video Object Detection for Mobiles 3 2 Revisiting Video Object Detection Baseline", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f3/45ebe3831e4741dcdc1931da59043acf4b83.pdf"], "doi": []}, {"id": "051000dd99635b74862b4b33f6dd84aca34f7471", "title": "An Encoder-Decoder Based Convolution Neural Network ( CNN ) for Future Advanced Driver Assistance System ( ADAS )", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0510/00dd99635b74862b4b33f6dd84aca34f7471.pdf"], "doi": []}, {"id": "5e99aeae07c8f599ab2251a1f62703d0380d1e14", "title": "Dictionary learning for a sparse appearance model in visual tracking", "addresses": [{"name": "\u00c9cole Centrale de Lille, CRIStAL, UMR CNRS 9189", "source_name": "École Centrale de Lille, CRIStAL, UMR CNRS 9189", "street_adddress": "42 Rue Paul Duez, 59000 Lille, France", "lat": "50.63165620", "lng": "3.07520350", "type": "edu", "country": "France"}, {"name": "Institut Mines-Telecom / Telecom Lille", "source_name": "Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France", "street_adddress": "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "lat": "50.60971560", "lng": "3.13728330", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351659", "http://doi.org/10.1109/ICIP.2015.7351659", "https://hal.archives-ouvertes.fr/hal-01211263/document"]}, {"id": "14a3194bb454f1f2e3fc1452045ac18c69959368", "title": "Fast Object Detection Using Multistage Particle Window Deformable Part Model", "addresses": [{"name": "National Chung Cheng University", "source_name": "National Chung Cheng University", "street_adddress": "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "lat": "23.56306355", "lng": "120.47510531", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://www.cs.ccu.edu.tw/~wtchu/papers/2014ISM-chu.pdf", "https://pdfs.semanticscholar.org/14a3/194bb454f1f2e3fc1452045ac18c69959368.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7033002", "http://doi.ieeecomputersociety.org/10.1109/ISM.2014.23", "http://doi.org/10.1109/ISM.2014.23"]}, {"id": "9f879c8eed15d0c54ee86d0fb3de1e83a87d282d", "title": "A new two-stage object detection network without RoI-Pooling", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407398"]}, {"id": "e6cd10c6de16ae2fba499762f2d6242990e1d35c", "title": "Improved Person Detection on Omnidirectional Images with Non-maxima Supression.", "addresses": [{"name": "Chemnitz University of Technology", "source_name": "Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany", "street_adddress": "Reichenhainer Str. 70, 09126 Chemnitz, Germany", "lat": "50.81507300", "lng": "12.92558600", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08503.pdf"], "doi": []}, {"id": "0c2cb193274217855000c98a02488885571b55bc", "title": "TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01466.pdf"], "doi": []}, {"id": "55f80ddcb49dbb45c4fc9d42da006580bd6690b5", "title": "GRANet: Global Refinement Atrous Convolutional Neural Network for Semantic Scene Segmentation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451636"]}, {"id": "95f4b88d4b0a725d786b34558b60af47f5442230", "title": "Reconfigurable Processor for Deep Learning in Autonomous Vehicles", "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": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/381e/7525bc8b9d47ae0343e471f5f1d5e6963bbe.pdf"], "doi": []}, {"id": "56c24b33d9efd05effe8afcbfa68fe27b5738cc2", "title": "Regularized Geometric Hulls for Bio-medical Image Segmentation", "addresses": [{"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/56c2/4b33d9efd05effe8afcbfa68fe27b5738cc2.pdf"], "doi": []}, {"id": "7653af14cf2b220da07252df585c443985ea9f8b", "title": "Human Detection Based on the Generation of a Background Image by Using a Far-Infrared Light Camera", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7653/af14cf2b220da07252df585c443985ea9f8b.pdf"], "doi": []}, {"id": "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "title": "A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "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": ["https://arxiv.org/pdf/1808.02595.pdf"], "doi": []}, {"id": "15ec23ae3007c8474149777e6f3d9974dd392fb5", "title": "Novel line verification for multiple instance focused retrieval in document collections", "addresses": [{"name": "Universidad Aut\u00f2noma de Barcelona, Spain", "source_name": "Computer Vision Center, Univ. Aut\u00f2noma de Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of 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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333808"]}, {"id": "56e28ea9eb8e92e199f35af6f6c348df2b19429c", "title": "An experimental comparison of online object-tracking algorithms", "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": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/spie11a.pdf"], "doi": ["https://doi.org/10.1117/12.895965"]}, {"id": "02f90eb252ab3bdab420690570b16effdee53b3f", "title": "Unsupervised Object Discovery and Segmentation in Videos", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/schulter_bmvc_13.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/abstract0053.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/paper0053.pdf"], "doi": ["http://doi.org/10.5244/C.27.53"]}, {"id": "2a7e02ebdb7622815dbce8cf227189e2c92d026c", "title": "Zero-Shot Object Detection by Hybrid Region Embedding", "addresses": [{"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"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06157.pdf"], "doi": []}, {"id": "d1580e818932ba23b38784b48d3e472ec91cd746", "title": "Decomposed human localization in personal photo albums", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Hunan University of Humanities", "source_name": "Hunan University of Humanities, Science and Technology, China", "street_adddress": "China, Hunan Sheng, Loudi Shi, Louxing Qu, \u80b2\u624d\u8def \u90ae\u653f\u7f16\u7801: 417000", "lat": "27.71232800", "lng": "112.00637300", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706345", "http://doi.org/10.1109/VCIP.2013.6706345"]}, {"id": "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "title": "Multi-omnidirectional cameras for ambient intelligence", "addresses": [{"name": "Bo\u011fazi\u00e7i \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, 34342 Bebek, \u0130stanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204823", "http://doi.org/10.1109/SIU.2012.6204823"]}, {"id": "fe1f382184505cdd9c8857119b95974b8396c3d9", "title": "Joint learning dictionary and discriminative features for high dimensional data", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Michigan-Dearborn", "source_name": "University of Michigan-Dearborn, USA", "street_adddress": "4901 Evergreen Rd, Dearborn, MI 48128, USA", "lat": "42.31840880", "lng": "-83.23320200", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899661"]}, {"id": "47b09d8c3690ab2e8c9c3e9157413f16024f3bb3", "title": "Learning Anchor Planes for Classification", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/60ec/1ab5b6dbb937f759fb844dce47b225e551d1.pdf"], "doi": []}, {"id": "3ab3f9d97bae4280cc915b7d4dc05f8cbbd6e6c8", "title": "Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}, {"name": "Cornell Tech, USA", "source_name": "Cornell Tech, USA", "street_adddress": "2 W Loop Rd, New York, NY 10044, USA", "lat": "40.75577270", "lng": "-73.95621120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298658"]}, {"id": "1661df61b0ef6147fbd0b55c9989fa8e8715806d", "title": "Deep visual words: Improved fisher vector for image classification", "addresses": [{"name": "PSI-ESAT / ETHZ", "source_name": "PSI-ESAT / ETHZ", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986832"]}, {"id": "16741cad4175adf065d6adbfdfa27acdcda2b26b", "title": "Deep Learning Approach for Building Detection in Satellite Multispectral Imagery", "addresses": [{"name": "Innopolis University", "source_name": "Institute of Robotics, Innopolis University, Russia", "street_adddress": "Universitetskaya St, 1, Innopolis, Respublika Tatarstan, Russia, 420500", "lat": "55.75344900", "lng": "48.74341100", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04247.pdf"], "doi": []}, {"id": "13c0c418df650ad94ac368c81e2133ec9e166381", "title": "Mid-level deep pattern mining", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6382.pdf"], "doi": []}, {"id": "5f0b1f37fc9c65c56106438b9aa4c6e0909d6fc0", "title": "3D object class detection in the wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.05038.pdf"], "doi": []}, {"id": "db9644b48ff890fd76c377192faa1e60b72c0120", "title": "Response prompting for intelligent robot instruction of students with intellectual disabilities", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333651"]}, {"id": "8a9fb7a5e3035e013129d55887b05f63b1fc5ad0", "title": "Person-following UAVs", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.svcl.ucsd.edu/publications/conference/2016/2016IEEEWACVPersonFollowingUAVs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477660", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477660", "http://doi.org/10.1109/WACV.2016.7477660"]}, {"id": "0c3d7a871915838ed5e126978c0d9f69f969b6a8", "title": "Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation", "addresses": [{"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"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": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247739"]}, {"id": "777487da0f738161e4283042084b85fca4a82487", "title": "Detector ensemble based on false positive mining for pedestrian detection", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486602"]}, {"id": "7f415aee0137acab659c664eb1dff15f7b726bdd", "title": "Scene Text Recognition Using Structure-Guided Character Detection and Linguistic Knowledge", "addresses": [{"name": "CASIA, Beijing, China", "source_name": "State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/3745/1/TCSVT-scene%20text%20recognition%20using%20structure-guided%20character%20detection%20and%20linguistic%20knowledge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727574", "http://doi.org/10.1109/TCSVT.2014.2302522"]}, {"id": "58c17688fc08eb69ff3b20803a227693289d63c5", "title": "Online multiple objects tracking with detection reliability prior constraint", "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 Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5530-z"]}, {"id": "6143a034163e7c8b533afcbba6bd1c48631ca77f", "title": "Appearance-based indoor localization: A comparison of patch descriptor performance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03514.pdf"], "doi": []}, {"id": "71b973c87965e4086e75fd2379dd1bd8e3f8231e", "title": "Progressive Attention Networks for Visual Attribute Prediction", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}, {"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/1606.02393.pdf"], "doi": []}, {"id": "ada42b99f882ba69d70fff68c9ccbaff642d5189", "title": "Semantic Image Segmentation and Web-Supervised Visual Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/ba11/4dfdd12b0f4323a8f28cd2bd770dfa74673e.pdf"], "doi": []}, {"id": "52684303004d2a9849e53a111cb847d05156d73c", "title": "Robust Online Visual Tracking with a Single Convolutional Neural Network", "addresses": [{"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Jiangxi Normal University", "source_name": "Jiangxi Normal University, Nanchang, China", "street_adddress": "Nanchang, China", "lat": "28.67850000", "lng": "116.03121200", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/452.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop3/pdffiles/w3-p12.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_13"]}, {"id": "b62ffb6a17d75363c8873a236f1d8c49d07c8a0e", "title": "An MRF-Poselets Model for Detecting Highly Articulated Humans", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410585", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.228", "http://doi.org/10.1109/ICCV.2015.228"]}, {"id": "32a8c1bf38f3057fdb808d27d5c1a82a168fc100", "title": "PD2T: Person-Specific Detection, Deformable Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/2017_pami_offline_deformable_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094942", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2769654", "http://doi.org/10.1109/TPAMI.2017.2769654", "https://www.ncbi.nlm.nih.gov/pubmed/29990150"]}, {"id": "1ce04783dc3af013fbfb1ee65af97b1dbcf820fa", "title": "Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ce0/4783dc3af013fbfb1ee65af97b1dbcf820fa.pdf"], "doi": []}, {"id": "94e378a1ee5fc205272c3fcfb46ca04a1a9916c4", "title": "Extremely Overlapping Vehicle Counting", "addresses": [{"name": "University of Alcal\u00e1", "source_name": "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://agamenon.tsc.uah.es/Personales/rlopez/docs/ibpria2015-guerrero.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-19390-8_48"]}, {"id": "86824ba374daff17ff2235484055b3bb9c464555", "title": "S-CNN: Subcategory-Aware Convolutional Networks for Object Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051100", "http://doi.org/10.1109/TPAMI.2017.2756936", "https://www.ncbi.nlm.nih.gov/pubmed/28961103", "https://www.wikidata.org/entity/Q47667340"]}, {"id": "b86b0a3494c2e2d4a3f4c9a18f1e4fec542bb57d", "title": "Perceptual Material Attributes Arise in Local Material Recognition", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b86b/0a3494c2e2d4a3f4c9a18f1e4fec542bb57d.pdf"], "doi": []}, {"id": "8fe0a35dc47698b45f3812bb502b0921b349ae56", "title": "Online multi-person tracking via robust collaborative model", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025086", "http://doi.org/10.1109/ICIP.2014.7025086"]}, {"id": "70d71c2f8c865438c0158bed9f7d64e57e245535", "title": "Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/intr_obj_vrt_nips13.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2013_5198.pdf", "http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/intr_obj_vrt_nips13.pdf", "http://wwwpub.zih.tu-dresden.de/~cvweb/publications/papers/2013/nips13_vinett_torr_rother.pdf"], "doi": ["http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation"]}, {"id": "29921072d8628544114f68bdf84deaf20a8c8f91", "title": "Multi-task Curriculum Transfer Deep Learning of Clothing Attributes", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.03670.pdf"], "doi": []}, {"id": "924f931aaed2925c9d9becd0ec76c512fba8274d", "title": "Multi-target detection in CCTV footage for tracking applications using deep learning techniques", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}, {"name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "source_name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532493"]}, {"id": "cfa48bc1015b88809e362b4da19fe4459acb1d89", "title": "Learning to Filter Object Detections", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cfa4/8bc1015b88809e362b4da19fe4459acb1d89.pdf"], "doi": []}, {"id": "08f9e2129e6851afac28d63f65c2aa6fc7c49023", "title": "Visual Recognition with Humans in the Loop", "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": "2010", "pdf": ["http://people.cs.pitt.edu/~kovashka/cs3710_sp15/active_learning_yan.pdf", "http://rogerioferis.com/VisualRecognitionAndSearch2014/material/presentations/AmeyAndKaiFinegrainedCategorization.pdf", "http://vision.cornell.edu/se3/wp-content/uploads/2014/09/Visipedia20q.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/shah_expt.pdf", "http://web.cs.ucdavis.edu/~yjlee/teaching/ecs289h-fall2014/oct30_present.pdf", "http://www.cs.cornell.edu/Courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "http://www.cs.cornell.edu/courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "https://www.cc.gatech.edu/~hays/compvision2016/lectures/27.pdf", "https://www.cc.gatech.edu/~parikh/ACVHL/Belongie_ACVHL.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15561-1_32"]}, {"id": "66f40e4ec173a2337fa42ff9d85c6e7a18ef16e1", "title": "Online action detection and forecast via Multitask deep Recurrent Neural Networks", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952447"]}, {"id": "18ebb2bbae3dfe4ab3f592494638f33e5072c8f7", "title": "Performance analysis of CNN frameworks for GPUs", "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7975270"]}, {"id": "aacaeffbe652d0eac25267c79ce96f2f4f557e39", "title": "MEVBench: A mobile computer vision benchmarking suite", "addresses": [{"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": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6114206"]}, {"id": "4a06c130c57b373718d15aa25ebb958d78bf2840", "title": "Deformable parts model for people detection in heavy machines applications", "addresses": [{"name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "source_name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "street_adddress": "57 Avenue de Landshut, 60200 Compi\u00e8gne, France", "lat": "49.40075300", "lng": "2.79528080", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7064337", "http://doi.org/10.1109/ICARCV.2014.7064337"]}, {"id": "3640bf810f4cc3160c278763663de03bc5ba6bb9", "title": "Deep reinforcement learning boosted by external knowledge", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3167165"]}, {"id": "37314dbf2d7680b0545223abefbb58cf476273bd", "title": "The three R's of computer vision: Recognition, reconstruction and reorganization", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://people.eecs.berkeley.edu/~shubhtuls/papers/prl16rrr.pdf", "http://www.cse.buffalo.edu/events/2013/malik.pdf", "https://people.eecs.berkeley.edu/~sgupta/pdfs/malik2016three.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2016.01.019"]}, {"id": "a81a14ff19586605ba3e6c1053d4dfdec064ac74", "title": "Object Detection and Tracking for Creation of Interactive Videos", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a81a/14ff19586605ba3e6c1053d4dfdec064ac74.pdf"], "doi": []}, {"id": "63d86c3c2b3cb2f6d0672dd05c95187114e77027", "title": "Automatic target detection in GPR images using Histogram of Oriented Gradients (HOG)", "addresses": [{"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7015795"]}, {"id": "d86cc655aee9596de5e0db001275c6fee495eb08", "title": "Volume segmentation using convolutional neural networks with limited training data", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296349"]}, {"id": "f576d8a18eec63c44204c7ae1c25a48d27e7af35", "title": "Adaptive window search using semantic texton forests for real-time object detection", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738678"]}, {"id": "1ddea4c0a2fd23f4878c20a7ec446090290011fc", "title": "Towards real-time DPM object detector for driver assistance", "addresses": [{"name": "University of Louisiana at Lafayette", "source_name": "University of Louisiana at Lafayette, Lafayette, LA", "street_adddress": "104 East University Avenue, Lafayette, LA 70504, USA", "lat": "30.21144040", "lng": "-92.02041210", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533079"]}, {"id": "b51fb0118975d2d57d33bb61ba3ed40260fab9d1", "title": "Learning equivariant structured output SVM regressors", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126339"]}, {"id": "1f9d5b6c48e8674190c6db6b4abc87fec20038c7", "title": "UnrealCV: Connecting Computer Vision to Unreal Engine", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01326.pdf"], "doi": []}, {"id": "5b0b675416d0603008d5650bbb259f8ab230e8cb", "title": "Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": ["https://arxiv.org/pdf/1009.4823.pdf"], "doi": []}, {"id": "a0b9a6123fa8113ad3ddc44614941c73512b9dca", "title": "Multi-class object segmentation based on jointly integrating segment-level and image-level object priors", "addresses": [{"name": "Ningbo University of Technology", "source_name": "Ningbo University of Technology, Ningbo, China", "street_adddress": "201 Fenghua Rd, Jiangbei Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.90986300", "lng": "121.61432300", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832104"]}, {"id": "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "title": "Zero-Shot Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07113.pdf"], "doi": []}, {"id": "ce290c46257f7676147b5cfe4c104373e4fca13a", "title": "Deep Feature Compression for Collaborative Object Detection", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451100"]}, {"id": "d3fefc8ea31d9676ca6115e81c55c0cd335131c2", "title": "Information Content of Very-High-Resolution SAR Images: Semantics, Geospatial Context, and Ontologies", "addresses": [{"name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, We\u00dfling, Germany", "source_name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, Weßling, Germany", "street_adddress": "Germany", "lat": "51.16569100", "lng": "10.45152600", "type": "gov", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6960829"]}, {"id": "cf3e9d7cc63959aa7b71ef3e72521fe8814ba3d5", "title": "HumanRcoarseR poseRdiscretization ( labels ) 3 DRModelRfine poseRdiscretization ( angles ) AnnotationRimage 45 \u00b0", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf3e/9d7cc63959aa7b71ef3e72521fe8814ba3d5.pdf"], "doi": []}, {"id": "5b4b84ce3518c8a14f57f5f95a1d07fb60e58223", "title": "Diagnosing Error in Object Detectors", "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": "2012", "pdf": ["https://pdfs.semanticscholar.org/9f92/05a60ddf1135929e0747db34363b3a8c6bc8.pdf"], "doi": []}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "1b90548616d09bfdb788dbfb1e1a1aedb62396d8", "title": "A novel autonomous navigation approach for UAV power line inspection", "addresses": [{"name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "source_name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324488"]}, {"id": "db3fdaaf30c8d3390b72b864134d1a8f2c18fac8", "title": "Understanding Infographics through Textual and Visual Tag Prediction", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09215.pdf"], "doi": []}, {"id": "d764fd52625933692843941825845fcd5ee27f0d", "title": "Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d764/fd52625933692843941825845fcd5ee27f0d.pdf"], "doi": []}, {"id": "1ebb95859f0398cac9a957c61f5047f268ec89a3", "title": "StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://cms.brookes.ac.uk/staff/PhilipTorr/Papers/2010/BMVC10/jw_stypboost.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/abstract60.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/paper60.pdf", "http://www.robots.ox.ac.uk/~phst/Papers/2010/BMVC10/jw_stypboost.pdf"], "doi": ["https://doi.org/10.5244/C.24.60"]}, {"id": "572785b5d6f6fa4b174d79725f82c056b0fb4565", "title": "Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05519.pdf"], "doi": []}, {"id": "2d34052aa801b2061670be0a39f59ae51b5e5866", "title": "High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation", "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": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7098386"]}, {"id": "221252be5d5be3b3e53b3bbbe7a9930d9d8cad69", "title": "Do We Need More Training Data or Better Models for Object Detection?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2212/52be5d5be3b3e53b3bbbe7a9930d9d8cad69.pdf"], "doi": []}, {"id": "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "title": "Semantic Image Segmentation via Deep Parsing Network", "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": "2015", "pdf": ["https://arxiv.org/pdf/1509.02634.pdf"], "doi": []}, {"id": "3785f701a53ab0c8baa9b76c75216944361943b8", "title": "Reproducible evaluation of Pan-Tilt-Zoom tracking", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351162"]}, {"id": "b8660b0a60c2ecd0f34c42d4d2a043cfc4f01ce1", "title": "DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects", "addresses": [{"name": "IDSIA & USI", "source_name": "IDSIA & USI", "street_adddress": "Via Giuseppe Buffi 13, 6900 Lugano, Switzerland", "lat": "46.01073700", "lng": "8.95810900", "type": "edu", "country": "Switzerland"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University of Venice & ZHAW", "source_name": "University of Venice & ZHAW", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab & USI", "source_name": "ZHAW Datalab & USI", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545307"]}, {"id": "72be36fce39e2c04ac1f3e3995b39559e226fe34", "title": "Visual object tracking based on particle filter re-detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Institute of Automation, Heilongjiang Academy of Sciences, Harbin, China", "source_name": "The Institute of Automation Heilongjiang Academy of Sciences, Harbin, China", "street_adddress": "Hei Long Jiang Sheng Ke Xue Yuan Zi Dong Hua Yan Jiu Suo, HuiZhan, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150090", "lat": "45.74575440", "lng": "126.69166510", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304242"]}, {"id": "c1ba0d38d855af0f4a2c2cf0f4fa48e4477fc4ec", "title": "Efficient Highly Over-Complete Sparse Coding Using a Mixture Model", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://www.dbs.ifi.lmu.de/~yu_k/ECCV10-HSC.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/ECCV10-HSC.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15555-0_9"]}, {"id": "52fe6d952ac0b6888b65293acfaec6825153c955", "title": "Visual tracking based on weighted subspace reconstruction error", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025092"]}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"], "doi": []}, {"id": "4be7eb91407043d66e1cbbb6891e9b58ddce8c09", "title": "Robust Visual Tracking Revisited: From Correlation Filter to Template Matching", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307468"]}, {"id": "21462ab847ee919abbd862c1f86b7c13ad34d519", "title": "Traffic scene segmentation based on boosting over multimodal low, intermediate and high order multi-range channel features", "addresses": [{"name": "Technical University of Cluj-Napoca", "source_name": "Technical University of Cluj-Napoca", "street_adddress": "Strada Memorandumului 28, Cluj-Napoca 400114, Romania", "lat": "46.76929900", "lng": "23.58561300", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": ["http://cv.utcluj.ro/tl_files/cv/publications/IV2017_0468.pdf", "https://cv.utcluj.ro/tl_files/cv/publications/Traffic%20Scene%20Segmentation%20based%20on%20Boosting%20over%20Multimodal%20Low,%20Intermediate%20and%20High%20Order%20Multi-range%20Channel%20Features%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995701", "http://doi.org/10.1109/IVS.2017.7995701"]}, {"id": "f12354cbe696ee2f278abaccf7ee4305b3f4f1a3", "title": "Dense Receptive Field for Object Detection", "addresses": [{"name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "source_name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546207"]}, {"id": "038e2f45575c234358325dd0dd16421136882191", "title": "Planar Object Detection using Local Feature Descriptors", "addresses": [{"name": "Slovak University of Technology in Bratislava", "source_name": "Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovi\u010dova 3, 812 19 Bratislava, Slovak Republic", "street_adddress": "Ilkovi\u010dova 2961/3, 841 04 Karlova Ves, Slovakia", "lat": "48.15185320", "lng": "17.07334460", "type": "edu", "country": "Slovakia"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/038e/2f45575c234358325dd0dd16421136882191.pdf"], "doi": []}, {"id": "5570388d982bebe4eb80f1eb7348e353370a5ebf", "title": "DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01405.pdf"], "doi": []}, {"id": "285b27126e3e6d51942e8a152581a59110a9feaa", "title": "Visual Tracking via Probabilistic Hypergraph Ranking", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368902"]}, {"id": "8e90aa167c7ba97228ecee23886f74c21f8fabd5", "title": "Symbolic Segmentation Using Algorithm Selection", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d  \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07934.pdf"], "doi": []}, {"id": "35535b2b03a9fcbcd8c09f753e1a69c977add020", "title": "Estimation of intersection traffic density on decentralized architectures with deep networks", "addresses": [{"name": "Siemens Corporate Research and Technologies", "source_name": "Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India", "street_adddress": "84, Hosur Road, Electronics City Phase 1, Keonics Electronics City, Bengaluru, Karnataka 560100, India", "lat": "12.84508670", "lng": "77.66094070", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090799"]}, {"id": "c0c3e0161a1007a5edf701a6b4a201ca06922559", "title": "Enhancing Multi-Camera People Detection by Online Automatic Parametrization Using Detection Transfer and Self-Correlation Maximization \u2020", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0c3/e0161a1007a5edf701a6b4a201ca06922559.pdf"], "doi": []}, {"id": "45d45687ebca6281d44e477cd012a1ef48ebf286", "title": "Deep fruit detection in orchards", "addresses": [{"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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989417"]}, {"id": "40c22f4717a6364e8e3e296bc5533d00cbe5b188", "title": "A seeding-searching-ensemble method for gland segmentation and detection", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7359707"]}, {"id": "6b8c4082cff10a893efa172da0ca1d31e166be0f", "title": "Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03128.pdf"], "doi": []}, {"id": "ec25f39fa6b4ef4529981a1ae051086e93642d27", "title": "Deformable Part Models are Convolutional Neural Networks Tech report", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ec25/f39fa6b4ef4529981a1ae051086e93642d27.pdf"], "doi": []}, {"id": "da082139f303fd36c160d91acc0949c005dd846c", "title": "A Deep Learning Framework for Semi-Supervised Cross-Modal Retrieval with Label Prediction", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01391.pdf"], "doi": []}, {"id": "7cbbcb0698ce5cd22951147ca8d606a91e9c0f05", "title": "Active object detection on graphs via locally informative trees", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738876"]}, {"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"], "doi": []}, {"id": "d802b6f76288e62f9236d13c59dedb94453e6915", "title": "Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947145"]}, {"id": "6342c679becb63aed72a9c7cc2cf3b217adcacee", "title": "Deep-learning-based object-level contour detection with CCG and CRF optimization", "addresses": [{"name": "University of Alabama at Birmingham", "source_name": "University of Alabama at Birmingham, 35294, USA", "street_adddress": "1720 2nd Ave S, Birmingham, AL 35294, USA", "lat": "33.50212270", "lng": "-86.80644470", "type": "edu", "country": "United States"}, {"name": "Institute of Computer Science and Technology, Beijing, China", "source_name": "Institute of Computer Science and Technology, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun N St, \u9038\u592b\u82d1", "lat": "39.99065830", "lng": "116.31493890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019358", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019358", "http://doi.org/10.1109/ICME.2017.8019358"]}, {"id": "1ed99a11c20afc2e6e2f3585f575bf936898dcb3", "title": "Reasoning and algorithm selection augmented symbolic segmentation", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d  \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.03667.pdf"], "doi": []}, {"id": "8c9eaebd1db02f6f94c6e65bc206402f74523e82", "title": "Unsupervised domain adaptation of deep object detectors", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8c9e/aebd1db02f6f94c6e65bc206402f74523e82.pdf"], "doi": []}, {"id": "f2f086b4ea5c37712b8fbcbcb4af6d24d4f2b78b", "title": "Comparative Analysis of Face Detection Algorithms: Novice to Novel", "addresses": [{"name": "Aljouf University", "source_name": "Aljouf University, Skaka Aljouf, 72388, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0645\u0637\u0627\u0631\u060c Sakakah Saudi Arabia", "lat": "29.79074900", "lng": "40.04499400", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8571474"]}, {"id": "9d1512cec2cddf707f4a82c6781c4cd7de6c1ed6", "title": "Predicting the Location of \"interactees\" in Novel Human-Object Interactions", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c1ae/89b26dc27b5725d08aba484afff43fa39d77.pdf"], "doi": []}, {"id": "55968c9906e13eff2a7fb03d7c416a6d0f9f53e0", "title": "HFS: Hierarchical Feature Selection for Efficient Image Segmentation", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"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": "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": ["http://cg.cs.tsinghua.edu.cn/papers/ECCV-2016-Hfs.pdf", "http://mftp.mmcheng.net/Papers/HFS.pdf", "http://www.eccv2016.org/files/posters/P-2B-16.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2016/0682.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46487-9_53"]}, {"id": "4ac0a37ba0630310e7848e144edcba9ea3d05334", "title": "Max-Margin Dictionary Learning for Multiclass Image Categorization", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4ac0/a37ba0630310e7848e144edcba9ea3d05334.pdf"], "doi": []}, {"id": "46ae0bc7291d209b9effe0bdddf43c82d19832b1", "title": "LinedCut: Image segmentation using single line interaction", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7003816"]}, {"id": "77a0e3e366e061b0ceb4a7a901ee18e420185447", "title": "Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries", "addresses": [{"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/1704.03944.pdf"], "doi": []}, {"id": "9b0ae635f1d3c2771920eb59a80aec35a8bce58a", "title": "An Experimental Protocol for Benchmarking Robotic Indoor Navigation", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9b0a/e635f1d3c2771920eb59a80aec35a8bce58a.pdf"], "doi": []}, {"id": "5c9464407e52a72bc5fe05d214a8140fcc7aeaed", "title": "Boosted local classifiers for visual tracking", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552903"]}, {"id": "5cb5207759597a5d293a331af73e1ace574a4ba4", "title": "Plug-and-play correlation filters for visual tracking", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240899"]}, {"id": "29b3ece4a5d56b0ac072ac7ff5f5ab03fdc27ee9", "title": "Object proposals using CNN-based edge filtering", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899704"]}, {"id": "013e0fe2d203eaa33a4b42d057688815116cc6bb", "title": "Recognizing Car Fluents from Video", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08067.pdf"], "doi": []}, {"id": "931282732f0be57f7fb895238e94bdda00a52cad", "title": "Gated Bi-directional CNN for Object Detection", "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": "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/9312/82732f0be57f7fb895238e94bdda00a52cad.pdf"], "doi": []}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "Xi\u2019an Jiaotong-Liverpool University", "source_name": "Xi\u2019an Jiaotong-Liverpool University, Jiangsu, China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "595a8356461904b2dfe7f46acc87002fcee9d4a1", "title": "Supervised Adversarial Networks for Image Saliency Detection", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07242.pdf"], "doi": []}, {"id": "cae6f7249783b102e8b05216709a780f47c57f7c", "title": "Subjective evaluation of image understanding results", "addresses": [{"name": "ENSICAEN - University of CAEN - CNRS", "source_name": "GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Mar\u00e9chal Juin, 14000 CAEN, France", "street_adddress": "Campus 2, B\u00e2timent F, 6 Boulevard Mar\u00e9chal Juin, 14000 Caen, France", "lat": "49.21489100", "lng": "-0.36895200", "type": "edu", "country": "France"}, {"name": "ENSI de Bourges - University of Orl\u00e9ans", "source_name": "PRISME Institute, ENSI de Bourges - University of Orl\u00e9ans, 88 Boulevard Lahitolle, 18020 BOURGES, France", "street_adddress": "88 Boulevard Lahitolle, 18000 Bourges, France", "lat": "47.08188770", "lng": "2.41554390", "type": "edu", "country": "France"}], "year": "2010", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2010/Contents/papers/1569291909.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7096451", "http://ieeexplore.ieee.org/document/7096451/"]}, {"id": "cd7aadcf23e056ae5900c72517a34b6cc8d66e0c", "title": "Combining deep learning and unsupervised clustering to improve scene recognition performance", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "Yahoo! Inc.", "source_name": "Yahoo! Inc., 701 1st Ave, Sunnyvale, CA 94089, USA", "street_adddress": "701 1st Ave, Sunnyvale, CA 94089, USA", "lat": "37.41715730", "lng": "-122.02500480", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340859"]}, {"id": "8a336adeb5115f2e70d65dfd9e7feed6e894fb3a", "title": "The sketchy database: learning to retrieve badly drawn bunnies", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925954"]}, {"id": "39afeceb57a7fde266ddd842aa23d2eea7ad5665", "title": "Agile Amulet: Real-Time Salient Object Detection with Contextual Attention", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06960.pdf"], "doi": []}, {"id": "5e9f81f93413a82bf3bd9e77b44b1ca6006f5830", "title": "Pedestrian Detection in RGB-D Images from an Elevated Viewpoint", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e9f/81f93413a82bf3bd9e77b44b1ca6006f5830.pdf"], "doi": []}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "182432088c9fac5b0ac977df625cb40765f7c84c", "title": "Visual Utility : A Framework for Focusing Computer Vision Algorithms", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/1824/32088c9fac5b0ac977df625cb40765f7c84c.pdf"], "doi": []}, {"id": "9241b103b76a3bdae157038b71783d7d372c71e9", "title": "Visual Classification of Furniture Styles", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065951"]}, {"id": "a8308ff2e31f0213d7cc360e613872a0efe3ed3d", "title": "Background Modeling and Foreground Detection for Maritime Video Surveillance", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.dis.uniroma1.it/~bloisi/papers/background-modeling-and-foreground-detection-for-maritime-video-surveillance.pdf"], "doi": ["https://doi.org/10.1201/b17223-18"]}, {"id": "24410627f9db865c4a95bf0ec74547f582ee198b", "title": "Object tracking via appearance modeling and sparse representation", "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": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.cse.sc.edu/~songwang/document/ivc11.pdf", "https://cse.sc.edu/~songwang/document/ivc11.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2011.08.006"]}, {"id": "5dd7d5d91e7e26ec65891f504b9a725f6c26ff27", "title": "Detection of Cars in High-Resolution Aerial Images of Complex Urban Environments", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7982952", "http://doi.org/10.1109/TGRS.2017.2716984"]}, {"id": "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "title": "Real-time people counting from depth imagery of crowded environments", "addresses": [{"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BSBD14/PID3277847.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/03/people-counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918691", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918691", "http://doi.org/10.1109/AVSS.2014.6918691"]}, {"id": "fc23a386c2189f221b25dbd0bb34fcd26ccf60fa", "title": "A Discriminative Latent Model of Object Classes and Attributes", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fc23/a386c2189f221b25dbd0bb34fcd26ccf60fa.pdf"], "doi": []}, {"id": "736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586", "title": "Figure-Ground Organization Based on 3 D Symmetry", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/736e/0b2e5a7e87a7d6e1412e7a4d4f180e89d586.pdf"], "doi": []}, {"id": "d5c8280e49cf7f58356e37e1722ab429415204ff", "title": "Object detection at multiple scales improves accuracy", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2008", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.214.114&rep=rep1&type=pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4761508", "http://doi.org/10.1109/ICPR.2008.4761508"]}, {"id": "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "title": "Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10800.pdf"], "doi": []}, {"id": "531e412155cde56382906aeee2a1b28ec61259c5", "title": "Learning to localize detected objects", "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": "2012", "pdf": ["http://dhoiem.cs.illinois.edu/publications/cvpr2012_objectsegmentation_qieyun.pdf", "http://www.csd.uwo.ca/~olga/Courses/Fall2014/CS9840/PossibleStudentPapers/cvpr2012_objectsegmentation_qieyun.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248070", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248070", "http://doi.org/10.1109/CVPR.2012.6248070"]}, {"id": "2fc8905a80b284d2cc204dc38ce10d904a875be9", "title": "VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2fc8/905a80b284d2cc204dc38ce10d904a875be9.pdf"], "doi": []}, {"id": "bed6b2bbe601a2a81c2191adf1cab487d4bf070e", "title": "Vocabulary Scene Parsing", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"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": "", "pdf": ["https://pdfs.semanticscholar.org/bed6/b2bbe601a2a81c2191adf1cab487d4bf070e.pdf"], "doi": []}, {"id": "6d90a0ac9d015b911469663d505b2e3d8f75520f", "title": "A system for real-time detection and tracking of vehicles from a single car-mounted camera", "addresses": [{"name": "Advanced Technology division, Toyota Motor Europe, Japan", "source_name": "Advanced Technology division, Toyota Motor Europe, Japan", "street_adddress": "Japan", "lat": "36.20482400", "lng": "138.25292400", "type": "company", "country": "Japan"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://cmp.felk.cvut.cz/data/motorway/paper/itsc2012_presentation.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/itsc2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338748", "http://doi.org/10.1109/ITSC.2012.6338748"]}, {"id": "8ba686c99684c6be46988ed3ab1003312c2fbf80", "title": "A non-temporal texture driven approach to real-time fire detection", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://breckon.eu/toby/publications/papers/chenebert11fire.pdf", "https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/7588/Real-time_fire_detection-2011.pdf;jsessionid=BFF4BCF2CC5EF353D82416490C8E1B85?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6115796", "http://doi.org/10.1109/ICIP.2011.6115796", "https://www.wikidata.org/entity/Q54267947"]}, {"id": "69877c56737f84951db86ff27235b597ef95be2f", "title": "Sequential Labeling with Structural SVM Under an Average Precision Loss", "addresses": [{"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"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/100177/1/Conference%20paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-49055-7_31"]}, {"id": "2d1d105538961d9b301bda6248d6df55829751be", "title": "Context-dependent kernel design for object matching and recognition", "addresses": [{"name": "Certis Lab, ENPC ParisTech, France", "source_name": "Certis Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "Telecom ParisTech", "source_name": "UMR 5141, CNRS, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CVPR08c.pdf", "http://certis.enpc.fr/publications/papers/TSI0718.pdf", "http://imagine.enpc.fr/~audibert/Mes%20articles/CVPR08c.pdf", "http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/267.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/267.pdf", "http://www.di.ens.fr/willow/pdfs/CVPR08c.pdf", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/file/CVPR08c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587607", "http://doi.org/10.1109/CVPR.2008.4587607", "http://service.tsi.telecom-paristech.fr/cgi-bin//valipub_download.cgi?dId=50", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/document"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "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": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "390faba76c076e6bf8db4b0850366bd084be257a", "title": "Real-time keypoint-based object tracking via online learning", "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"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6747687"]}, {"id": "2cd7821fcf5fae53a185624f7eeda007434ae037", "title": "Exploring the geo-dependence of human face appearance", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835989", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835989", "http://doi.org/10.1109/WACV.2014.6835989"]}, {"id": "ad173dd56894fe00ab1bca68c284dc34b5e67a0e", "title": "Multi-scale object detection by clustering lines", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["http://hci.iwr.uni-heidelberg.de/COMPVIS/research/voting/ommer_cvl_iccv09.pdf", "https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/ommer_cvl_iccv09.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459200", "http://doi.org/10.1109/ICCV.2009.5459200"]}, {"id": "38d782a3ec91e2f8b0be131243eacfe6e6b07284", "title": "Robustness Against Unknown Noise for Raw Data Fusing Neural Networks", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}, {"name": "Royal Holloway, Egham Hill, Egham, United Kingdom", "source_name": "Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom", "street_adddress": "Egham Hill, Egham TW20 0EX, UK", "lat": "51.42567300", "lng": "-0.56306250", "type": "edu", "country": "United Kingdom"}, {"name": "University Ulm", "source_name": "University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany", "street_adddress": "Albert-Einstein-Allee 41, 89081 Ulm, Germany", "lat": "48.42075690", "lng": "9.94759610", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pure.royalholloway.ac.uk/portal/files/31291311/ITSC18_0485_FI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569911", "http://doi.org/10.1109/ITSC.2018.8569911"]}, {"id": "fe5c43aa19da5cbbf5a42e4697659875f7389b91", "title": "Tracking People in Broadcast Sports", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fe5c/43aa19da5cbbf5a42e4697659875f7389b91.pdf"], "doi": []}, {"id": "e1f041594fa37d407c80b28a13680a9ddc081c49", "title": "Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11232.pdf"], "doi": []}, {"id": "414cf31a68b890dfb395c55e6ba078beaa5d2cbb", "title": "Rotation-Invariant Features for Multi-Oriented Text Detection in Natural Images", "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": "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": "2013", "pdf": ["https://pdfs.semanticscholar.org/414c/f31a68b890dfb395c55e6ba078beaa5d2cbb.pdf"], "doi": []}, {"id": "f5a900b6f9baf8f5aefe2a6cfe6cf7bdbb243c50", "title": "Why my photos look sideways or upside down? Detecting canonical orientation of images using convolutional neural networks", "addresses": [{"name": "Samsung R&D Insitute India - Bangalore, India", "source_name": "Samsung R&D Insitute India - Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026216"]}, {"id": "7d520f474f2fc59422d910b980f8485716ce0a3e", "title": "Designing Convolutional Neural Networks for Urban Scene Understanding", "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", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/2128/4a9310a4b4c836b8dfb6af39c682b7348128.pdf"], "doi": []}, {"id": "dab8b00e5619ceec615b179265cd6d315a97911d", "title": "A two-stage training deep neural network for small pedestrian detection", "addresses": [{"name": "Teikyo University", "source_name": "Teikyo University", "street_adddress": "Japan, \u3012173-8605 Tokyo, \u677f\u6a4b\u533a\u52a0\u8cc0\uff12\u4e01\u76ee\uff11\uff11\u2212\uff11", "lat": "35.75927460", "lng": "139.71450290", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8168106", "http://doi.org/10.1109/MLSP.2017.8168106"]}, {"id": "d012f6d7fd45051adaff8da4ce0860de9f81d445", "title": "A Deep Multi-task Learning Approach to Skin Lesion Classification", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1812.03527.pdf"], "doi": []}, {"id": "9a7671fcb2f8876dba7bf5ed708100d29e3ecfc4", "title": "Learning by focusing: A new framework for concept recognition and feature selection", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/learning_by_focusing_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607609", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607609", "http://doi.org/10.1109/ICME.2013.6607609"]}, {"id": "4a31ca27b987606ae353b300488068b5240633ee", "title": "WSABIE: scaling up to large vocabulary image annotation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2011", "pdf": ["http://bengio.abracadoudou.com/cv/publications/pdf/weston_2011_ijcai.pdf", "http://ijcai.org/Proceedings/11/Papers/460.pdf", "http://www.thespermwhale.com/jaseweston/papers/wsabie-ijcai.pdf"], "doi": ["http://doi.org/10.5591/978-1-57735-516-8%2FIJCAI11-460", "https://www.wikidata.org/entity/Q47516823"]}, {"id": "40b237c04438a1828083a139ebc88f521591375a", "title": "Tracking handheld object using three layer RGB-D image space", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139524"]}, {"id": "24988830d49d96dd83f6cb4f622fd7e1248fa7e5", "title": "DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics", "addresses": [{"name": "College of William and Mary, Williamsburg, VA", "source_name": "College of William and Mary, Williamsburg, VA", "street_adddress": "Sadler Center, 200 Stadium Dr, Williamsburg, VA 23185, USA", "lat": "37.27167400", "lng": "-76.71337800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485905"]}, {"id": "894e4376750b83b63649cc518b121f345ca0df83", "title": "Real-Time Long-Term Tracking With Prediction-Detection-Correction", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8283783"]}, {"id": "fe86ef81dcd6cdfe3a67437b53ab480557b04a71", "title": "Towards Effective Image Classification Using Class-Specific Codebooks and Distinctive Local Features", "addresses": [{"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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001714", "http://doi.org/10.1109/TMM.2014.2388312"]}, {"id": "5f0ddac97b2a3e6fb2d3f0193d346010b9265f4f", "title": "Evaluation on fusion of saliency and objectness for salient object segmentation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808510"]}, {"id": "01f26d2945c4eca35890756d114b4cba9931bf25", "title": "Transform invariant text extraction", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "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": "2013", "pdf": ["http://www.cis.pku.edu.cn/faculty/vision/zlin/Publications/2014-VP-Text.pdf"], "doi": ["http://doi.org/10.1007/s00371-013-0864-7"]}, {"id": "81825711c2aaa1b9d3ead1a300e71c4353a41382", "title": "End-to-end training of object class detectors for mean average precision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.03476.pdf"], "doi": []}, {"id": "0d517ddc86858e4068d52dd6f6df53a9a8599690", "title": "Rotation invariant power line insulator detection using local directional pattern and support vector machine", "addresses": [{"name": "SungKyunKwan University", "source_name": "SungKyunKwan University", "street_adddress": "\uc131\uade0\uad00\ub300, \ub355\uc601\ub300\ub85c, \ucc9c\ucc9c\ub3d9, \uc7a5\uc548\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16357, \ub300\ud55c\ubbfc\uad6d", "lat": "37.30031270", "lng": "126.97212300", "type": "edu", "country": "South Korea"}, {"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7856522"]}, {"id": "aa344c313e2e2820ecfe8b6edfc24eda34e0a120", "title": "One-Class Convolutional Neural Network", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8586962"]}, {"id": "0d60264bbb41ed188f852d96441f43909c3e60ee", "title": "A Feature Descriptor Based on Local Normalized Difference for Real-World Texture Classification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8061018", "http://doi.org/10.1109/TMM.2017.2760102"]}, {"id": "8cded4bbe4202ee81c2b75ebe27f839c87b0755e", "title": "Objectness to improve the bag of visual words model", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025655", "http://doi.org/10.1109/ICIP.2014.7025655"]}, {"id": "b8b11f3b458233a104fbacd3091da9c67f5ca5ed", "title": "Learning Chained Deep Features and Classifiers for Cascade in Object Detection", "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/1702.07054.pdf"], "doi": []}, {"id": "c1d1b1197667facd360196059796ab8cb7b46e96", "title": "PolyMapper: Extracting City Maps using Polygons", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01497.pdf"], "doi": []}, {"id": "ce43209fc68e51ef05fa06cc0fe6210cbd021e3f", "title": "Fused One-vs-All Features With Semantic Alignments for Fine-Grained Visual Categorization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"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"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2016%5CJournal%5C2016-TIP-CV-ZHANGXIAOPENG%5C2016-TIP-CV-02.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358138", "http://doi.org/10.1109/TIP.2015.2509425", "https://www.ncbi.nlm.nih.gov/pubmed/26685247", "https://www.wikidata.org/entity/Q38398268"]}, {"id": "4268dc438d81c9f143edb9097923709b2e7a18ca", "title": "Does Haze Removal Help CNN-based Image Classification?", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.05716.pdf"], "doi": []}, {"id": "c9abf6cb2d916262425033db12cf0181d40be7cb", "title": "Entropy-based Latent Structured Output Prediction-Supplementary materials", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c9ab/f6cb2d916262425033db12cf0181d40be7cb.pdf"], "doi": []}, {"id": "72a4390a6c3b2bc2c3e7d83fc1f99e65e6137573", "title": "Collective Activity Localization with Contextual Spatial Pyramid", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/72a4/390a6c3b2bc2c3e7d83fc1f99e65e6137573.pdf"], "doi": []}, {"id": "00c8e15cf9cbe9c68fbf00f040a632a37cd944df", "title": "Using image saliency and regions of interest to encourage stronger graphical passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Institute of Public Administration, Riyadh, Saudi Arabia", "source_name": "Institute of Public Administration, Riyadh, Saudi Arabia", "street_adddress": "Qurah Al Ayn, Ad Dhubbat\u060c Riyadh 12627, Saudi Arabia", "lat": "24.66818300", "lng": "46.72492830", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2991108"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "e1e85d811825ec56205fc0302ed2c86cbb85e10d", "title": "Training Group Orthogonal Neural Networks with Privileged Information", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.06772.pdf"], "doi": []}, {"id": "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "title": "Computer Vision and Deep Learning for Automated Surveillance Technology", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b0c92f2a619157e2bedf15abb97ed1b0b98f.pdf"], "doi": []}, {"id": "9ad0d957138db7fcad7db77bacfdd5c1c728031c", "title": "Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images", "addresses": [{"name": "Uppsala University", "source_name": "Uppsala University, Uppsala, Sweden", "street_adddress": "Uppsala, 752 36 Uppsala, Sweden", "lat": "59.85090050", "lng": "17.63000930", "type": "edu", "country": "Sweden"}, {"name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "source_name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "street_adddress": "Mahatma Gandhi Rd, A-Zone, Durgapur, West Bengal 713209, India", "lat": "23.54767280", "lng": "87.29313890", "type": "edu", "country": "India"}, {"name": "Medical College Kolkata, Kolkata, India", "source_name": "Medical College Kolkata, Kolkata, India", "street_adddress": "88, College St, Calcutta Medical College, College Square, Kolkata, West Bengal 700073, India", "lat": "22.57374630", "lng": "88.36191530", "type": "edu", "country": "India"}, {"name": "University of Hyderabad", "source_name": "University of Hyderabad, Hyderabad, India", "street_adddress": "CUC, Professor CR Rao Rd, P O, Central University, Gachibowli, Hyderabad, Telangana 500046, India", "lat": "17.45673720", "lng": "78.32638400", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-95921-4_2"]}, {"id": "3ec04a3536007433451a428e090d099c8b2a6add", "title": "Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8bdb/a247b004179b2ac105e41b61ffec57acf7e0.pdf"], "doi": []}, {"id": "02213406b3d7605a6fa08ea0cbcfc52b7cd937a1", "title": "Event-driven dynamic platform selection for power-aware real-time anomaly detection in video", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295060"]}, {"id": "ab88c48e7829029c47ac6deea5c0ccbff3614c5c", "title": "Rethinking Visual Relationships for High-level Image Understanding", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00313.pdf"], "doi": []}, {"id": "1a1c7ba2ee61c9eba57a21208fd028144dda2ce9", "title": "Double Low Rank Matrix Recovery for Saliency Fusion", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing Audit University", "source_name": "Nanjing Audit University, Nanjing, China", "street_adddress": "Gulou, Nanjing, China, 210017", "lat": "32.03902600", "lng": "118.75232100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7506073", "http://doi.org/10.1109/TIP.2016.2588331", "https://www.ncbi.nlm.nih.gov/pubmed/27392360", "https://www.wikidata.org/entity/Q50786987"]}, {"id": "f7dd25ac4f52f23b9c2fa3265c62c030527de53f", "title": "High-Order Distance-Based Multiview Stochastic Learning in Image Classification", "addresses": [{"name": "University of Technology, Australia", "source_name": "Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Hangzhou Dianzi University", "source_name": "Hangzhou Dianzi University", "street_adddress": "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "lat": "30.31255250", "lng": "120.34309460", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6774452", "http://doi.org/10.1109/TCYB.2014.2307862", "https://www.ncbi.nlm.nih.gov/pubmed/25415948", "https://www.wikidata.org/entity/Q50622554"]}, {"id": "0394acc70f58fbb6326d1fbf44e0a6da5a0345d1", "title": "Automated Recognition of Text in Images : A Survey", "addresses": [{"name": "Christ University", "source_name": "Christ University, Bangalore- 560074, India", "street_adddress": "Kengeri Campus Mysore Road Kumbalgodu, Kanmanike, Bengaluru, Karnataka 560074, India", "lat": "12.86303630", "lng": "77.43787070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0394/acc70f58fbb6326d1fbf44e0a6da5a0345d1.pdf"], "doi": []}, {"id": "81ea29bde0216e41420c4591bebb800142fa3269", "title": "Learning Active Learning from Data", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03365.pdf"], "doi": []}, {"id": "742d5b4590284b632ca043a16507fb5a459dceb2", "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"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "a289de92de2503b632efd7acc13080ab026986b7", "title": "Fine-grained object recognition in underwater visual data", "addresses": [{"name": "Aix-Marseille Universit\u00e9, Marseille, France", "source_name": "Aix-Marseille Universit\u00e9, Marseille, France", "street_adddress": "Jardin du Pharo, 58 Boulevard Charles Livon, 13007 Marseille, France", "lat": "43.29362100", "lng": "5.35806600", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}, {"name": "University of Nice Sophia Antipolis", "source_name": "I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France", "street_adddress": "Euclide B, 2000 Route des Lucioles, 06900 Sophia Antipolis, France", "lat": "43.61530240", "lng": "7.06744330", "type": "edu", "country": "France"}, {"name": "Institut Universitaire de France (IUF), Paris, France", "source_name": "Institut Universitaire de France (IUF), Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Toulon, La Garde, France", "source_name": "Universit\u00e9 de Toulon, La Garde, France", "street_adddress": "Avenue de l'Universit\u00e9, 83130 La Garde, France", "lat": "43.13765300", "lng": "6.01454500", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://sis.univ-tln.fr/~glotin/Concetto_Glotin_et_SubmarineObjectRecognition_accepted_MTAPjournal_2015.pdf"], "doi": ["http://doi.org/10.1007/s11042-015-2601-x"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "17e997e6f724f8b92c0b91ad5d7f828714a510c6", "title": "Interactive adaptation of real-time object detectors", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts at Lowell", "source_name": "EECS, University of Massachusetts at Lowell, Lowell, MA, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}, {"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}, {"name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "source_name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.drgoehring.de/bib/goehring14icra/goehring14icra-slides.pdf", "https://people.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf", "https://www.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6907018", "http://doi.org/10.1109/ICRA.2014.6907018"]}, {"id": "451ed51346fe2e6c5de2dbf29733711b31f5fd68", "title": "Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos", "addresses": [{"name": "University of Strasbourg", "source_name": "ICube UMR 7357, CNRS, University of Strasbourg, France", "street_adddress": "4 Rue Kirschleger, 67000 Strasbourg, France", "lat": "48.57744050", "lng": "7.73929500", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05573.pdf"], "doi": []}, {"id": "f8f14c0248a4974ce9a6226db81f9745a6b1ea97", "title": "Part based pedestrian detection based on Logic inference", "addresses": [{"name": "Universidad Carlos III de Madrid", "source_name": "Departamento de estad\u00edstica, Universidad Carlos III de Madrid, Barcelona, Spain", "street_adddress": "Calle Madrid, 126, 28903 Getafe, Madrid, Spain", "lat": "40.31705720", "lng": "-3.72746780", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["http://portal.uc3m.es/portal/page/portal/dpto_ing_sistemas_automatica/investigacion/lab_sist_inteligentes_old/publications/2013-ITSC-Olmeda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728421", "http://doi.org/10.1109/ITSC.2013.6728421"]}, {"id": "8339da16dced3343173fc71373012d73c9f59f8d", "title": "Scalable multi-class object detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_HoughMC_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995441", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995441", "http://doi.org/10.1109/CVPR.2011.5995441"]}, {"id": "8502c089c9affe5955810073b4c814457790065c", "title": "Learning Single-view 3D Reconstruction of Objects and Scenes", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8502/c089c9affe5955810073b4c814457790065c.pdf"], "doi": []}, {"id": "3b20082bd64d8af4041611434ef23fdef57616a8", "title": "Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks", "addresses": [{"name": "University of Stuttgart", "source_name": "University of Stuttgart", "street_adddress": "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "lat": "48.90953380", "lng": "9.18318920", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451679", "http://doi.org/10.1109/ICIP.2018.8451679"]}, {"id": "1539add5ea57fb518cb70ca6af253eec3c9d8a6f", "title": "Efficient Object Localization and Segmentation in Weakly Labeled Videos", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1539/add5ea57fb518cb70ca6af253eec3c9d8a6f.pdf"], "doi": []}, {"id": "6f2819172d270ceb568bf7586d812b298266bcbf", "title": "Edge Fields for Robust Object Proposal", "addresses": [{"name": "Samsung Electronics", "source_name": "Samsung Electronics", "street_adddress": "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "lat": "43.61294840", "lng": "-79.55903030", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6f28/19172d270ceb568bf7586d812b298266bcbf.pdf"], "doi": []}, {"id": "70cb4bdd05cccc1f99cf690582e66b7637b81da7", "title": "MBLLEN: Low-Light Image/Video Enhancement Using CNNs", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70cb/4bdd05cccc1f99cf690582e66b7637b81da7.pdf"], "doi": []}, {"id": "f23114073e0e513b1c1c55e8777bda503721718c", "title": "Dissimilarity Coefficient based Weakly Supervised Object Detection", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10016.pdf"], "doi": []}, {"id": "3f320fbdd5054961cc3766dd2b2ee22c4d4abe01", "title": "Robust object tracking via weight-based local sparse appearance model", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "Hunan City University", "source_name": "Hunan city University, Yiyang, China", "street_adddress": "Heshan, Yiyang, China", "lat": "28.54005500", "lng": "112.38758100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603234", "http://doi.org/10.1109/FSKD.2016.7603234"]}, {"id": "d68a6bf394f8f6440426a84d8494e83d08aa1535", "title": "Automatic Portrait Segmentation for Image Stylization", "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": "2016", "pdf": ["http://xiaoyongshen.me/webpage_portrait/papers/portrait_eg16.pdf"], "doi": ["https://doi.org/10.1111/cgf.12814"]}, {"id": "19d4855f064f0d53cb851e9342025bd8503922e2", "title": "Learning SURF Cascade for Fast and Accurate Object Detection", "addresses": [{"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d468.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/supp/4989d468s1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf", "https://16cbeb23-a-62cb3a1a-s-sites.googlegroups.com/site/leeplus/publications/learningsurfcascadeforfastandaccurateobjectdetection/cvsurf13.pdf?attachauth=ANoY7cprgGHyp0x1H24zmTyefmyqoRoMJFJxg9j-BM6Rh9vToSM_0gtVNgtcm7pgFG_yr6TS1gMJe7AEGilvP9MEizPWXUkP-NHn4b6wB49ETjP5XUJo93ObOe7SWdAUiCTeHWGdjA3aFjtBPOiSWteKMqeMeteYqnVW7e3NpALb8cnhR4TFfbcT82NKsxTv_XgJNenB-1UGij2Ayg0COitzW-6AVpls1e5yGDCdzMc-Ij8VgOxAWfLbiKzodL1hmPHLsrT4yM_cXV3B0vgpjQSmVzNgViA1s5cANrI-EjUTpxRczBT_RIA%3D&attredirects=3&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619289", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.445", "http://doi.org/10.1109/CVPR.2013.445"]}, {"id": "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "title": "Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "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"}, {"name": "Guizhou University", "source_name": "Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China", "street_adddress": "Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025", "lat": "26.42408400", "lng": "106.67353400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37a5/f93048cbfb74d122455531b4bc4f6e15d48f.pdf"], "doi": []}, {"id": "4be211df856e2fc0d999598ba6561a22e65997b6", "title": "Object proposal using 3D point cloud for DRC-HUBO+", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Naver Labs, Seongnam, 13561, Korea", "source_name": "Naver Labs, Seongnam, 13561, Korea", "street_adddress": "8 Gumi-ro, Gumi-dong, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", "lat": "37.33772020", "lng": "127.10965330", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7759113", "http://doi.org/10.1109/IROS.2016.7759113"]}, {"id": "965bf5726891428a2af6922ead4779c0a1331392", "title": "Image categorization using a semantic hierarchy model with sparse set of salient regions", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Second Hospital of Nanjing, Nanjing, China", "source_name": "The Second Hospital of Nanjing, Nanjing, China", "street_adddress": "1 Zhongfu Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028", "lat": "32.08824580", "lng": "118.76893790", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-013-2410-1"]}, {"id": "9825c4dddeb2ed7eaab668b55403aa2c38bc3320", "title": "Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09532.pdf"], "doi": []}, {"id": "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "title": "Divide and Count: Generic Object Counting by Image Divisions", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8488575", "http://doi.org/10.1109/TIP.2018.2875353", "https://www.ncbi.nlm.nih.gov/pubmed/30307867"]}, {"id": "108961c7366e36825ffed94ac9eab603e05b6bc6", "title": "Deep Visual-Semantic Alignments for Generating Image Descriptions", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.2306.pdf"], "doi": []}, {"id": "1b79c2e3816eead394145f2f1d12d3314431a035", "title": "Local structured representation for generic object 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"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-016-5530-6"]}, {"id": "e103a8992a9eab5c2a5e8072a0cff7f5b68959a2", "title": "Robust person head detection based on multi-scale representation fusion of deep convolution neural network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324433", "http://doi.org/10.1109/ROBIO.2017.8324433"]}, {"id": "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "title": "Zero-Shot Object Detection", "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"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04340.pdf"], "doi": []}, {"id": "e816e2bdcfc7a93355ec3f8f336bf2b05ac98b21", "title": "Locality constrained low-rank sparse learning for object tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7287991"]}, {"id": "36bce8938ce499ee1ec5783a37de6dcfaff53f5c", "title": "High-speed railway catenary components detection using the cascaded convolutional neural networks", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261459"]}, {"id": "80ab008243b5a61c8a74a0a3e2aaf702b1f906b3", "title": "Ship detection for automating navigational watch", "addresses": [{"name": "Tokyo University of Marine Science and Technology", "source_name": "Tokyo University of Marine Science and Technology, Japan", "street_adddress": "4 Chome-5-\uff17 Konan, Minato, Tokyo 108-8477, Japan", "lat": "35.62697170", "lng": "139.74764520", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6935702"]}, {"id": "ab781f035720d991e244adb35f1d04e671af1999", "title": "Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": ["https://arxiv.org/pdf/1712.07465.pdf"], "doi": []}, {"id": "e41876930495ee879b0d1cda9a85f82102884b17", "title": "Robotic arm control by fine-tuned convolutional neural network model", "addresses": [{"name": "Istanbul Teknik Universitesi", "source_name": "Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye", "street_adddress": "\u0130n\u00f6n\u00fc Caddesi, No. 65, G\u00fcm\u00fc\u015fsuyu, 34437 Beyo\u011flu/\u0130stanbul, Turkey", "lat": "41.03790740", "lng": "28.99212370", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960444", "http://doi.org/10.1109/SIU.2017.7960444"]}, {"id": "4c6421fab6f7be06f4b2a8d558dceb3ccf9426da", "title": "Fast , Deep Detection and Tracking of Birds & Nests", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c64/21fab6f7be06f4b2a8d558dceb3ccf9426da.pdf"], "doi": []}, {"id": "7d98e98e64f2622d321bd3b410a4636fce39be50", "title": "Self-Paced Cross-Modal Subspace Matching", "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": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2911527"]}, {"id": "cf8a0a9310b3c30003b65ec62fa92d8ee672f40b", "title": "Acquiring Object Experiences at Scale", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/f168/38c9f08b5e0fc3e7495b99f721f90ea6baba.pdf"], "doi": []}, {"id": "b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01", "title": "Vehicle detection and localization on bird's eye view elevation images using convolutional neural network", "addresses": [{"name": "National Cheng Kung University", "source_name": "National Cheng Kung University", "street_adddress": "\u6210\u5927, 1, \u5927\u5b78\u8def, \u5927\u5b78\u91cc, \u524d\u7532, \u6771\u5340, \u81fa\u5357\u5e02, 70101, \u81fa\u7063", "lat": "22.99919160", "lng": "120.21625134", "type": "edu", "country": "Taiwan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8088147", "http://doi.org/10.1109/SSRR.2017.8088147"]}, {"id": "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "title": "Recognition in Terra Incognita", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04975.pdf"], "doi": []}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "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": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/talk_final.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Fouhey16/fouhey16.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/talk_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780537", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.168", "http://doi.org/10.1109/CVPR.2016.168"]}, {"id": "dccd5d00f88cdb59b0680baa86024f14331c38d6", "title": "Semantic mapping of road scenes", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dccd/5d00f88cdb59b0680baa86024f14331c38d6.pdf"], "doi": []}, {"id": "0a81e5c6429a85564ba742726850109ae07dd24c", "title": "Perceptually Inspired Layout-Aware Losses for Image Segmentation", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0a81/e5c6429a85564ba742726850109ae07dd24c.pdf"], "doi": []}, {"id": "a22a8c93ae4ed518c894a8ddb348a9d0a99c1387", "title": "Deep Learning Logo Detection with Data Expansion by Synthesising Context", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.09322.pdf"], "doi": []}, {"id": "8fc3051fa78a325454c739dce3e7b77b5bf9de78", "title": "Object Detection and Its Implementation on Android Devices", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8fc3/051fa78a325454c739dce3e7b77b5bf9de78.pdf"], "doi": []}, {"id": "e55f2e7f72ab8f5ad0c0372651f35702c9d54351", "title": "Efficient object detection and segmentation with a cascaded Hough Forest ISM", "addresses": [{"name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "source_name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86208950", "lng": "4.68589230", "type": "edu", "country": "Belgium"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://europa.informatik.uni-freiburg.de/files/rematas2011corp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130356", "http://doi.org/10.1109/ICCVW.2011.6130356"]}, {"id": "bb1df923eff58177f20b2cf46318a31aa7e89143", "title": "Viewpoint-aware object detection and pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126379"]}, {"id": "121503705689f46546cade78ff62963574b4750b", "title": "We Don\u2019t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.08405.pdf"], "doi": []}, {"id": "af7310abcbac6b43ffa850be2315282185b933bc", "title": "Detection and recognition of traffic signs inside the attentional visual field of drivers", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995781", "http://doi.org/10.1109/IVS.2017.7995781", "https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=6143&context=etd"]}, {"id": "e644867bc141453d1f0387c76ff5e7f7863c5f4f", "title": "Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}, {"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10464.pdf"], "doi": []}, {"id": "e047bcb9721c36fb61df1f4d6f7de83f290ec1d4", "title": "Flower classification: Training augmentation using manifold images", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358870", "http://doi.org/10.1109/URAI.2015.7358870"]}, {"id": "0083a395fded81d562317d83e194dfbc47b5c04a", "title": "AT&T Research at TRECVID 2010", "addresses": [{"name": "University Park", "source_name": "Pennsylvania State University, University Park, 16802, USA", "street_adddress": "PENN ST UNIV, PA 16802, USA", "lat": "40.80840750", "lng": "-77.86388350", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/955f/e9a0ba02d82e469c5e719bbde9a5f14a3d32.pdf"], "doi": []}, {"id": "95a1d94880f3466e62cb5e0947e041aba6d02456", "title": "Sparse coding based airport detection from medium resolution Landsat-7 satellite remote sensing images", "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"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6927883"]}, {"id": "30654fd93360a339e271d4b194b7f7463b2c5dac", "title": "COSTA: Co-Occurrence Statistics for Zero-Shot Classification", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Mensink_COSTA_Co-Occurrence_Statistics_2014_CVPR_paper.pdf", "https://computing.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://filebox.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2014/MensinkCVPR2014/MensinkCVPR2014.pdf", "https://pure.uva.nl/ws/files/17209170/MensinkCVPR2014.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/mensink14cvpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909709", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.313", "http://doi.org/10.1109/CVPR.2014.313"]}, {"id": "fa11e3517ed9b08ca1d0dcca2cc5bc3a6ada9fcb", "title": "The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics", "addresses": [{"name": "University of Applied Sciences Western Switzerland", "source_name": "Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland", "street_adddress": "Fili\u00e8re Economie d'entreprise, Case postale 80, Rue de la Plaine 2, 3960 Sierre, Switzerland", "lat": "46.29278120", "lng": "7.53618900", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7320041", "http://doi.org/10.1109/EMBC.2015.7320041", "https://www.ncbi.nlm.nih.gov/pubmed/26737941", "https://www.wikidata.org/entity/Q40136711"]}, {"id": "6941b32d99ddf46e9ccea39a5a32d2133801fabb", "title": "Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network", "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": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6941/b32d99ddf46e9ccea39a5a32d2133801fabb.pdf"], "doi": []}, {"id": "02d9d571980ec2f8d28011a5ad33820d3585755b", "title": "Understanding CNN via deep features analysis", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282184", "http://doi.org/10.1109/APSIPA.2017.8282184"]}, {"id": "1bb0dd8d349cdb1bbc065f1f0e111a8334072257", "title": "Structured Output Learning with High Order Loss Functions", "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": "2012", "pdf": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12a.pdf", "http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12aSupple.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2012_TarlowZ12.pdf", "http://proceedings.mlr.press/v22/tarlow12a/tarlow12aSupple.pdf", "http://www.cs.toronto.edu/~dtarlow/tarlow_zemel_aistats12.pdf"], "doi": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a.html"]}, {"id": "6341274aca0c2977c3e1575378f4f2126aa9b050", "title": "A multi-scale cascade fully convolutional network face detector", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03536.pdf"], "doi": []}, {"id": "282cee05661a690aa525f21b47c6ee39fb26a7c2", "title": "Build a Robust Learning Feature Descriptor by Using a New Image Visualization Method for Indoor Scenario Recognition", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/282c/ee05661a690aa525f21b47c6ee39fb26a7c2.pdf"], "doi": []}, {"id": "182c91f619e0b7a8cd2120139d530750aa0b85a7", "title": "Compressing the Input for CNNs with the First-Order Scattering Transform", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10200.pdf"], "doi": []}, {"id": "886674a5abae3c9bfd262006c67d4ba078e1462b", "title": "A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}, {"name": "Mokpo National University", "source_name": "Mokpo National University, Republic of Korea", "street_adddress": "1666 Yeongsan-ro, Cheonggye-myeon, Muan, Jeollanam-do, South Korea", "lat": "34.91041940", "lng": "126.43608070", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8866/74a5abae3c9bfd262006c67d4ba078e1462b.pdf"], "doi": []}, {"id": "013d5325e1225456de011bee0f45c5bfec872e9d", "title": "ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition", "addresses": [{"name": "Chalearn, Berkeley, California, USA", "source_name": "Chalearn, Berkeley, California, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}, {"name": "Computer Vision Center (UAB), Spain", "source_name": "Computer Vision Center (UAB), Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona - CVC, Spain", "source_name": "Universitat de Barcelona - CVC, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona, Spain", "source_name": "Universitat de Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301329", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301329", "http://doi.org/10.1109/CVPRW.2015.7301329"]}, {"id": "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "title": "End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "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"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51f5/e7b847e65a4cd0634ed9efc6b19819742b70.pdf"], "doi": []}, {"id": "9974ff5429696e815a3c1532577ff4c233b22490", "title": "A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation", "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": "Tencent AI Laboratory, Shenzhen, China", "source_name": "Tencent AI Laboratory, Shenzhen, 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": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371617", "http://doi.org/10.1109/LSP.2018.2844097"]}, {"id": "fe7ae13bf5fc80cf0837bacbe44905bd8749f03f", "title": "Deep Coupled Metric Learning for Cross-Modal Matching", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Deep%20coupled%20metric%20learning%20for%20cross-modal%20matching.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801952", "http://doi.org/10.1109/TMM.2016.2646180"]}, {"id": "062723093e77d942471a77f1a89614d05216a275", "title": "DAVE: A Unified Framework for Fast Vehicle Detection and Annotation", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04564.pdf"], "doi": []}, {"id": "62ee1385725c508cdb64a8318d2e07bddf8b5832", "title": "Shape-based Image Correspondence", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/62ee/1385725c508cdb64a8318d2e07bddf8b5832.pdf"], "doi": []}, {"id": "309e17462a9cd4ebd540b4218600e97b688c3779", "title": "Mouse Behavior Recognition with The Wisdom of", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6185/5e2eb545c227aeced67d2c1e71e3211c3e0c.pdf"], "doi": []}, {"id": "8043117df3fab932c715f2361f1a8bf0f45755dc", "title": "Efficient Correlation Tracking via Center-Biased Spatial Regularization", "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"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434348", "http://doi.org/10.1109/TIP.2018.2865278", "https://www.ncbi.nlm.nih.gov/pubmed/30106730"]}, {"id": "d49bd0ae6f7c85331f06bbcc36088c621a17922b", "title": "CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-014-0236-5"]}, {"id": "0ab65b963f8b71e31bfec188056023147f75303e", "title": "SPNet: Superpixel Pyramid Network for Scene Parsing", "addresses": [{"name": "Beijing University of Technologyy", "source_name": "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "street_adddress": "Chaoyang, China, 100124", "lat": "39.87161100", "lng": "116.47952900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623025"]}, {"id": "3e64282d305b77b39b02e820cfcba2f1e5544793", "title": "Boosted multi-class object detection with parallel hardware implementation for real-time applications", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p7580-chiu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6855064", "http://doi.org/10.1109/ICASSP.2014.6855064"]}, {"id": "2c03ba51f7404d8d9869a997a00f6af801149ac1", "title": "Adaptive spatio-temporal context learning for visual target tracking", "addresses": [{"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}, {"name": "Yazd University", "source_name": "Yazd University, Iran", "street_adddress": "Yazd Province, Yazd, Safaeih\u060c Iran", "lat": "31.83409280", "lng": "54.35699650", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8342331"]}, {"id": "895c5a6f2915d95d518e78d6a0224dad7399492b", "title": "Beyond Bounding Boxes: Precise Localization of Objects in Images", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b43d/d1c7c058831ba3f242997e7743425325b0bd.pdf"], "doi": []}, {"id": "02b6acd8d1f2a5833a29b52766776fd70b3dbb56", "title": "Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels", "addresses": [{"name": "Nokia Technologies, Tampere, Finland", "source_name": "Nokia Technologies, Tampere, Finland", "street_adddress": "Tampere, Finland", "lat": "61.49775240", "lng": "23.76095350", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09558.pdf"], "doi": []}, {"id": "428f087b10141cbd4d827b1df734ace473548e87", "title": "SRIKANTHA , GALL : HUMAN POSE AS CONTECT FOR OBJECT DETECTION 3 3 Object Detection", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/428f/087b10141cbd4d827b1df734ace473548e87.pdf"], "doi": []}, {"id": "9bd9050c53d90dfa86cb22501812afe6fc897406", "title": "Fine-Grained and Layered Object Recognition", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}, {"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9bd9/050c53d90dfa86cb22501812afe6fc897406.pdf"], "doi": []}, {"id": "d0c1cdb4ac772026d6c87a132a6a11a15c91d7a8", "title": "Augmented Kernel Matrix vs Classifier Fusion for Object Recognition", "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"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/eabc/91ea4dccd1850ce0e38f0c379770bd411a18.pdf"], "doi": []}, {"id": "23a44db65ff4913289a3a93fb8c85072ae9d007e", "title": "Biologically Inspired Media Quality Modeling", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806255"]}, {"id": "f852d7ff0b1ade73fdb2dc43578cf414a6c57cab", "title": "Deep learning on small datasets using online image search", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2948633"]}, {"id": "e84973cf0337de616f394df06087989a75a0df3e", "title": "ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09585.pdf"], "doi": []}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "2d5589ad3a228670eac7251b6508cb326793051c", "title": "A comparison of late fusion methods for object detection", "addresses": [{"name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "source_name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "street_adddress": "Sandtorstra\u00dfe 22, 39106 Magdeburg, Germany", "lat": "52.13925980", "lng": "11.65195280", "type": "company", "country": "Germany"}], "year": "2013", "pdf": ["http://www2.informatik.hu-berlin.de/~knauer/Publikationen/knauer2013c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738679", "http://doi.org/10.1109/ICIP.2013.6738679"]}, {"id": "f678f31e7bb5eda34098b0fed608cfad5e372509", "title": "Discriminative Kernel Feature Extraction and Learning for Object Recognition and Detection", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f678/f31e7bb5eda34098b0fed608cfad5e372509.pdf"], "doi": []}, {"id": "df0e280cae018cebd5b16ad701ad101265c369fa", "title": "Deep Attributes from Context-Aware Regional Neural Codes", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02470.pdf"], "doi": []}, {"id": "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "title": "High performance and fast object detection in road environments", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310148", "http://doi.org/10.1109/IPTA.2017.8310148"]}, {"id": "2f98d667cdd7e59fd3f2de638bb286d6250c8900", "title": "Weakly Supervised One-Shot Detection with Attention Similarity Networks", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03329.pdf"], "doi": []}, {"id": "392589e60f203b19b1d314ff1005182a668c594b", "title": "Learning Joint Multimodal Representation with Adversarial Attention Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240614"]}, {"id": "66586f1d755362f485f25acfc60153c2a5ed1533", "title": "A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images", "addresses": [{"name": "University of Norway", "source_name": "University of Norway, P.O. Box 114 Blindern, NO-0314, Troms\u00d8, Norway", "street_adddress": "Troms\u00f8, Norway", "lat": "69.64920470", "lng": "18.95532390", "type": "edu", "country": "Norway"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8518533", "http://doi.org/10.1109/IGARSS.2018.8518533"]}, {"id": "775461c0ed08a24cdaeca8975fadfc9846d509fe", "title": "Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.04042.pdf"], "doi": []}, {"id": "3af130e2fd41143d5fc49503830bbd7bafd01f8b", "title": "How Do We Evaluate the Quality of Computational Editing Systems", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": []}, {"id": "2851efe83633a1c80272ba2c9302a1333dd32523", "title": "Understanding and localizing activities from correspondences of clustered trajectories", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze", "source_name": "Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy", "street_adddress": "Via di Santa Marta, 3, 50139 Firenze FI, Italy", "lat": "43.79849010", "lng": "11.25302550", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://www.micc.unifi.it/wp-content/uploads/2017/01/1-s2.0-S1077314216301965-main.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.11.007"]}, {"id": "094f5e36dae2602e179f2c1d95a616df3dbe967f", "title": "Bilinear classifiers for visual recognition", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/094f/5e36dae2602e179f2c1d95a616df3dbe967f.pdf"], "doi": []}, {"id": "7791ce332eb0e9b5e1f839c62a9b8cf5bfd51110", "title": "Local Image Descriptor: Modern Approaches", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-662-49173-7"]}, {"id": "da53cd51d9d4d047f10144233ad925133ad43207", "title": "Multimodal Social Media Analysis for Gang Violence Prevention", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08465.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "c11a2501204e9e7c4a53d8a3c87055b2b11c73df", "title": "Adaptive Learning Algorithms for Transferable Visual Recognition", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c11a/2501204e9e7c4a53d8a3c87055b2b11c73df.pdf"], "doi": []}, {"id": "c55f15ffdd01c526624626ea94ae90263ee86fee", "title": "Multi-sensors people detection system for heavy machines", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957798", "http://doi.org/10.1109/ITSC.2014.6957798"]}, {"id": "e8def76dd702df44b0e1af7dbc0360bb7ef14562", "title": "Rendering Physically Correct Raindrops on Windshields for Robustness Verification of Camera-based Object Recognition", "addresses": [{"name": "University of T\u00fcbingen", "source_name": "University of T\u00fcbingen", "street_adddress": "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "lat": "48.52947820", "lng": "9.04377400", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500494", "http://doi.org/10.1109/IVS.2018.8500494"]}, {"id": "838420cebfdad4e93221f8fe203c09155983141a", "title": "Subspace Alignment Based Domain Adaptation for RCNN Detector", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.05578.pdf"], "doi": []}, {"id": "748305f0b2d686d51ccf893207697d6cfb39e890", "title": "COVER LOCALIZATION IN AERIAL IMAGES WITH A DEEP LEARNING APPROACH", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7483/05f0b2d686d51ccf893207697d6cfb39e890.pdf"], "doi": []}, {"id": "15c820aea3dba1902485f34f635e13f69204e501", "title": "Object tracking using 2DLPP manifold learning", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6915971"]}, {"id": "5c7964b57fcac612dc18e27e18f98eeba9404707", "title": "Fusing visual and range imaging for object class recognition", "addresses": [{"name": "General Motors Advanced Technical Center, Herzliya, Israel", "source_name": "General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel", "street_adddress": "46733, HaMada St 7, Herzliya, Israel", "lat": "32.16659230", "lng": "34.81274680", "type": "company", "country": "Israel"}, {"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": "2011", "pdf": ["http://www.researchgate.net/profile/Aharon_Bar_hillel/publication/221109977_Fusing_visual_and_range_imaging_for_object_class_recognition/links/0fcfd505985047018a000000.pdf", "https://740f0a9b-a-62cb3a1a-s-sites.googlegroups.com/site/aharonbarhillel/Fusion_ICCV2011.pdf?attachauth=ANoY7cqh0aiOE_NJSnkxPUgHiRXPjpmSRFaM58Kcrv56pJaVZRwlMwoboaMbJIxNA9dagRkz2dr74VkTYs4gr1yjZgW5fMUZOMbTyOYU1DG4V5tef3xzTOLTVoQDVlBNeN8zVX3UCCijr73jsm77aRBdXo6Bwj7axlN5UbiT6O-wjDLLm4BMGxRm-yyGXisuz8Fz96C89JQV3SEPWqJphcRyUTmW_07W-EVPEK3sJp288fQ4JyySGKE%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126226", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126226", "http://doi.org/10.1109/ICCV.2011.6126226"]}, {"id": "cc6983184d5a1ae077deab222ecd381cd44410ea", "title": "Adaptive visual tracking with reacquisition ability for arbitrary objects", "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": "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": "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": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631254", "http://doi.org/10.1109/ICRA.2013.6631254"]}, {"id": "263ab80451b236c27675ca4c6aff5c72fef77f4b", "title": "ExFuse: Enhancing Feature Fusion for Semantic Segmentation", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03821.pdf"], "doi": []}, {"id": "51a09f0305a0cdd48ccaac070363c71bc2c49938", "title": "Improving public datasets markings' quality using unsupervised refinement kernels", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3205862"]}, {"id": "f6e00d6430cbbaa64789d826d093f7f3e323b082", "title": "Visual Object Recognition", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5255/490925aa1e01ac0b9a55e93ec8c82efc07b7.pdf"], "doi": []}, {"id": "f8a38c8aa9d2f9f2db64fcc98f5b4770551d70f2", "title": "Top-Down Saliency Detection via Contextual Pooling", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese 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": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11265-013-0768-9"]}, {"id": "b6dc1cd3cabdfea7363d41773a315a0d241dc836", "title": "Local Context Priors for Object Proposal Generation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b6dc/1cd3cabdfea7363d41773a315a0d241dc836.pdf"], "doi": []}, {"id": "ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083", "title": "Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04606.pdf"], "doi": []}, {"id": "fd80b1b1a3509e616af97a181d82c6cdf7ba4721", "title": "Hierarchical Parsing Net: Semantic Scene Parsing From Global Scene to Objects", "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": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8306891", "http://doi.org/10.1109/TMM.2018.2812600"]}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}, {"id": "c4fe488c0cff49e1ed6de1425ede27900005fd87", "title": "Multi-scale Location-Aware Kernel Representation for Object Detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00428.pdf"], "doi": []}, {"id": "5250f319cae32437489bb97b2ed9a1dc962d4d39", "title": "Computational Baby Learning.", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.2861.pdf"], "doi": []}, {"id": "1c8897aaac36c9f96b86b4e6d412e91512429cde", "title": "Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04924.pdf"], "doi": []}, {"id": "e70360dec906df73e7de268b801b51296f55471e", "title": "Object detection based on ensemble of exemplars", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7280164"]}, {"id": "e5a0e119ce4925a55910dcf0b5667ab551f8cdf1", "title": "Segmentation Free Object Discovery in Video", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00221.pdf"], "doi": []}, {"id": "3a4c70ca0bbd461fe2e4de3448a01f06c0217459", "title": "Accurate Vision-based Vehicle Localization using Satellite Imagery", "addresses": [{"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.09171.pdf"], "doi": []}, {"id": "3d61a6834371ef08f25f5eeea615808380e109e2", "title": "Robust Visual Tracking Using Exemplar-Based Detectors", "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"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368904", "http://doi.org/10.1109/TCSVT.2015.2513700"]}, {"id": "0678a8abea82793993cd89383319da75f6dc4be3", "title": "ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03776.pdf"], "doi": []}, {"id": "12017d411ad5db2fce87eee19540ba22dc87bdf1", "title": "People detection in heavy machines applications", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c1fb/fe7118c36d76f05b5bfe4a296510d35ec111.pdf", "https://www.researchgate.net/profile/Vincent_Fremont/publication/271462952_People_Detection_in_Heavy_Machines_Applications/links/5536237d0cf268fd00160d5c.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751572", "http://doi.org/10.1109/ICCIS.2013.6751572", "https://hal.archives-ouvertes.fr/hal-00936283/document"]}, {"id": "f89894944bd4cb871b722f0fbcb32fbe866c5bb7", "title": "Bio-inspired heterogeneous architecture for real-time pedestrian detection applications", "addresses": [{"name": "Universite Blaise Pascal, Clermont Ferrand, France", "source_name": "Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "Grenoble Alpes University", "source_name": "Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France", "street_adddress": "Maison Jean Kuntzmann, Saint-Martin-d'H\u00e8res, 110 Rue de la Chimie, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19364880", "lng": "5.76946150", "type": "edu", "country": "France"}, {"name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "source_name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "street_adddress": "1, Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925890", "lng": "10.42400630", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-016-0581-3", "https://hal.archives-ouvertes.fr/hal-01298676/document"]}, {"id": "d67e2f60c55884e34fa8e2a154ae12b5983c90e7", "title": "Delivering Deep Learning to Mobile Devices via Offloading", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3097903"]}, {"id": "8a382f000f98cdab7f7b79e543c75c6b8f93b6f9", "title": "Learning Semantic Image Representations at a Large Scale", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a38/2f000f98cdab7f7b79e543c75c6b8f93b6f9.pdf"], "doi": []}, {"id": "250466b42c0b690724c4d2c7ff61ecae489be356", "title": "Recognizing Products: A Per-exemplar Multi-label Image Classification Approach", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://people.inf.ethz.ch/mageorge/eccv14/marian_george_eccv_2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900440.pdf", "http://www.vs.inf.ethz.ch/publ/papers/mageorge_products_eccv2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_29"]}, {"id": "7d35fe4f4a932d7598d94d64b72cfa7e6a70286d", "title": "Experimental Evaluation of Multiplicative Kernel SVM Classifiers for Multi-Class Detection", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7d35/fe4f4a932d7598d94d64b72cfa7e6a70286d.pdf"], "doi": []}, {"id": "a887937b813f267507203d4faef1013043cf09d0", "title": "Automatic Process to Build a Contextualized Detector", "addresses": [{"name": "Blaise Pascal University", "source_name": "Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5891/b87c0eecd76f067c5bafd9cd0702ac6d2fc7.pdf"], "doi": []}, {"id": "a63104ad235f98bc5ee0b44fefbcdb49e32c205a", "title": "Has my algorithm succeeded? an evaluator for human pose estimators", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/Jammalamadaka12eccv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/jammalamadaka12a.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/poster.pdf", "https://www.research.ed.ac.uk/portal/files/17289840/Jammalamadaka_et_al_2012_Has_my_Algorithm_Succeeded.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_9"]}, {"id": "2ca5f4ffcc2dc75422e1ed0a9d848280d82ad626", "title": "Attacking Object Detectors via Imperceptible Patches on Background", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05966.pdf"], "doi": []}, {"id": "dcd283758d77ae5c99d5ecf69e6258c22dd2572c", "title": "Scale-aware multi-level guidance for interactive instance segmentation", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02967.pdf"], "doi": []}, {"id": "1ba7a9c0e658a0d98253f999bf43c2e98c07f4e0", "title": "Real-time visual tracking using compressive sensing", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Chunhua_Shen2/publication/221364339_Real-time_visual_tracking_using_compressive_sensing/links/02e7e5302b5360486e000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995483", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995483", "http://doi.org/10.1109/CVPR.2011.5995483"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "75d0a8e80a75312571951144aaa2d5dd5ae30e43", "title": "Polar Transformation on Image Features for Orientation-Invariant Representations", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}, {"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"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": "2019", "pdf": ["http://eprints.whiterose.ac.uk/132227/1/TMM_camera_ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411338", "http://doi.org/10.1109/TMM.2018.2856121"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "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": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "2d3ad5b92b7514ec114102035322d3953e1fbbd8", "title": "Outlining Objects for Interactive Segmentation on Touch Devices", "addresses": [{"name": "CNRS - IRIT, Toulouse, France", "source_name": "CNRS - IRIT, Toulouse, France", "street_adddress": "Avenue de l'\u00e9tudiant, 31400 Toulouse, France", "lat": "43.56198480", "lng": "1.46798510", "type": "edu", "country": "France"}, {"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123409"]}, {"id": "6035b7f0ddfe618afef72d5f70e4a0dfd11deeb4", "title": "Automated Military Vehicle Detection from Low-Altitude Aerial Images", "addresses": [{"name": "National University of Sciences and Technology", "source_name": "National University of Sciences and Technology", "street_adddress": "National University of Sciences and Technology (NUST), Kashmir Highway, \u062c\u06cc - 10, ICT, \u0648\u0641\u0627\u0642\u06cc \u062f\u0627\u0631\u0627\u0644\u062d\u06a9\u0648\u0645\u062a \u0627\u0633\u0644\u0627\u0645 \u0622\u0628\u0627\u062f, 44000, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "33.64434700", "lng": "72.98850790", "type": "edu", "country": "Pakistan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615865"]}, {"id": "8b06d12795c1714960cc0db17687777aad28ab42", "title": "Pedestrian detection in digital videos using committee of motion feature extractors", "addresses": [{"name": "Universidad Nacional de Mar del Plata, Argentina", "source_name": "Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina", "street_adddress": "De\u00e1n Funes 3350, B7602AYL Mar del Plata, Buenos Aires, Argentina", "lat": "-38.00537090", "lng": "-57.57090000", "type": "edu", "country": "Argentina"}, {"name": "Universidade de Pernambuco (UPE), Recife, Brazil", "source_name": "Universidade de Pernambuco (UPE), Recife, Brazil", "street_adddress": "Av. Gov. Agamenon Magalh\u00e3es - Santo Amaro, Recife - PE, 50100-010, Brazil", "lat": "-8.04406030", "lng": "-34.88611670", "type": "edu", "country": "Brazil"}, {"name": "Universidade de Pernambuco, Brazil", "source_name": "Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil", "street_adddress": "Palmares - State of Pernambuco, 55540-000, Brazil", "lat": "-8.66529440", "lng": "-35.56880500", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285714", "http://doi.org/10.1109/LA-CCI.2017.8285714"]}, {"id": "bb6548b43c737dca642298c46ec4648a403e1b11", "title": "A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569822", "http://doi.org/10.1109/ITSC.2018.8569822"]}, {"id": "aeb2f8e94b8e7f90327fbda3e6eea7313c9ec2e0", "title": "Coupled-layer based visual tracking via adaptive kernelized correlation filters", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-016-1310-4"]}, {"id": "7dfc24b8e21fa7a397d5557574efedd218864d10", "title": "Robust Visual Tracking Via Consistent Low-Rank Sparse Learning", "addresses": [{"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "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 California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv14_clrst.pdf", "http://vision.ai.illinois.edu/publications/zhangijcv2015.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0738-0"]}, {"id": "d7a042c4db29e233861bc556fd763ca608ae078c", "title": "Multi-view object instance recognition in an industrial context", "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"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7a0/42c4db29e233861bc556fd763ca608ae078c.pdf"], "doi": []}, {"id": "50953b9a15aca6ef3351e613e7215abdcae1435e", "title": "Learning coarse-to-fine sparselets for efficient object detection and scene classification", "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"}], "year": "2015", "pdf": ["http://sunw.csail.mit.edu/papers/63_Cheng_SUNw.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Cheng_Learning_Coarse-to-Fine_Sparselets_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298721", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298721", "http://doi.org/10.1109/CVPR.2015.7298721"]}, {"id": "ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe", "title": "Image smoothing via unsupervised learning", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1811.02804.pdf"], "doi": []}, {"id": "8fff5963fe480124d4df4cb6bfcf3aa8dfb34101", "title": "RTSeg: Real-Time Semantic Segmentation Comparative Study", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02758.pdf"], "doi": []}, {"id": "ac6dc2eb153f886ef19429a84de41b6ffed0270a", "title": "Exploiting language models to recognize unseen actions", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2461504"]}, {"id": "397bfda299f789f0c84bf284a868b9ca005c7f84", "title": "Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery", "addresses": [{"name": "German Aerospace Center", "source_name": "Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany", "street_adddress": "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "lat": "48.08342380", "lng": "11.27563320", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02700.pdf"], "doi": []}, {"id": "53d446afc33bd7cf1c9d5d24ab41c0ad6af1fc3c", "title": "An optimized target tracking algorithm of online boosting", "addresses": [{"name": "Air Force Engineering University", "source_name": "Air Force Engineering University, Xi\u2019an, China", "street_adddress": "Baqiao, Xi'an, Shaanxi, China", "lat": "34.27379700", "lng": "109.03617100", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6986234"]}, {"id": "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "title": "Accurate real-time people counting for crowded environments", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ae5b/2b449f59ae0f46f6a31ed4826d98241c394c.pdf"], "doi": []}, {"id": "a1fd80d41c39f61b1f82f20e71b5ad4323dc9bd7", "title": "Fine-grained object recognition with Gnostic Fields", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.chriskanan.com/wp-content/uploads/Kanan_WACV_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836122", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836122", "http://doi.org/10.1109/WACV.2014.6836122"]}, {"id": "a13dac9255dd738932f463a8f462c11419f072db", "title": "Use of Generative Adversarial Network for Cross-Domain Change Detection", "addresses": [{"name": "University of Fukui", "source_name": "Faculty of Engineering, University of Fukui, Japan", "street_adddress": "3 Chome-9-\uff11 Bunkyo, Fukui, Fukui Prefecture 910-8507, Japan", "lat": "36.07509890", "lng": "136.21222390", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08868.pdf"], "doi": []}, {"id": "fab39542b04d5aac48349e456cdb300e7786ee6b", "title": "Object recognition and retrieval by context dependent similarity kernels", "addresses": [{"name": "Certis, Lab, ENPC ParisTech, France", "source_name": "Certis, Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "UMR 5141, LTCI, Telecom ParisTech, France", "source_name": "UMR 5141, LTCI, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CBMI08.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4564949", "http://doi.org/10.1109/CBMI.2008.4564949"]}, {"id": "0ae427cc645162f1a110ffce7b94cd9400138527", "title": "Decentralized Dictionary Learning Over Time-Varying Digraphs Decentralized Dictionary Learning Over Time-Varying Digraphs", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0ae4/27cc645162f1a110ffce7b94cd9400138527.pdf"], "doi": []}, {"id": "cd7551569c460c19139377a90d554b57b506b831", "title": "Multi-pose face detection for accurate face logging", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460662", "http://ieeexplore.ieee.org/document/6460662/"]}, {"id": "812e11fc86e5d183337257978e5a0f26b5668218", "title": "Evaluating ResNeXt Model Architecture for Image Classification", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08700.pdf"], "doi": []}, {"id": "fe683e48f373fa14c07851966474d15588b8c28b", "title": "Hinge-Minimax Learner for the Ensemble of Hyperplanes", "addresses": [{"name": "University of Haifa", "source_name": "University of Haifa", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.76162915", "lng": "35.01986304", "type": "edu", "country": "Israel"}, {"name": "Technion - Israel Institute of Technology", "source_name": "Technion - Israel Institute of Technology", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe68/3e48f373fa14c07851966474d15588b8c28b.pdf"], "doi": []}, {"id": "0228089cf7ae696e946c2cfe757a7c401e5f38f1", "title": "Tooth guard: A vision system for detecting missing tooth in rope mine shovel", "addresses": [{"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://jvbsoares.files.wordpress.com/2016/03/tooth_guard_wacv_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477594", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477594", "http://doi.org/10.1109/WACV.2016.7477594"]}, {"id": "70f6ef15237f3b3f563712a6d269f4a4a17f0af0", "title": "Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation", "addresses": [{"name": "University of Technology at Sydney", "source_name": "Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "source_name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "street_adddress": "Nanshan, Shenzhen, China, 518057", "lat": "22.52743800", "lng": "113.94856500", "type": "company", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303903", "http://doi.org/10.1109/TCSVT.2015.2493500"]}, {"id": "15870e306ac1f8969b9ddf3cc84d59d21acd7cdc", "title": "OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}, {"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": "2010", "pdf": ["http://eprints.pascal-network.org/archive/00007016/01/10olcv.pdf", "http://francesco.orabona.com/papers/10olcv.pdf", "http://mercurio.srv.di.unimi.it/~cesabian/Pubblicazioni/OM-2.pdf", "http://publications.idiap.ch/downloads/papers/2011/Luo_CVPR-OLCV_2010.pdf", "http://publications.idiap.ch/downloads/reports/2010/Luo_Idiap-RR-06-2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543766", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543766", "http://doi.org/10.1109/CVPRW.2010.5543766"]}, {"id": "ddb561cbdc1e8d76e88679c115f277effde4db8d", "title": "Human-like Clustering with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05048.pdf"], "doi": []}, {"id": "8db60e5196657c4f6188ffee3d2a48d188014f6d", "title": "Realtime multi-aircraft tracking in aerial scene with deep orientation network", "addresses": [{"name": "Military Technical College, Cairo, Egypt", "source_name": "Military Technical College, Cairo, Egypt", "street_adddress": "Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.08042180", "lng": "31.29625750", "type": "mil", "country": "Egypt"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0780-1"]}, {"id": "c2be82ed0db509087b08423c8cf39ab3c36549c3", "title": "Pixel-level guided face editing with fully convolution networks", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019363", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019363", "http://doi.org/10.1109/ICME.2017.8019363"]}, {"id": "92ed396feb11d18d9bd05ed1f5ea326ba3b16425", "title": "A visual target tracking algorithm based on improved Kernelized Correlation Filters", "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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7558560"]}, {"id": "33e845e18acbf54ad2e031efe68493d07d7deb61", "title": "Can Diversity amongst Learners Improve Online Object Tracking", "addresses": [{"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2013", "pdf": ["http://gnebehay.com/publications/mcs_2013/mcs_2013.pdf", "http://www.epics-project.eu/publications/2013_nebehay_lncs.pdf", "https://www.gnebehay.com/publications/mcs_2013/mcs_2013.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38067-9_19"]}, {"id": "448ff117f216bba80080ad56851d7dc6bb5e22bd", "title": "Is my new tracker really better than yours?", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836055", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836055", "http://doi.org/10.1109/WACV.2014.6836055"]}, {"id": "26c58e24687ccbe9737e41837aab74e4a499d259", "title": "Codemaps - Segment, Classify and Search Objects Locally", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Centrum Wiskunde & Informatica, Amsterdam, The Netherlands", "source_name": "Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Li_Codemaps_-_Segment_2013_ICCV_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2013/LiICCV2013/LiICCV2013.pdf", "https://staff.fnwi.uva.nl/z.li2/pub/li_codemaps_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751376", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.454", "http://doi.org/10.1109/ICCV.2013.454"]}, {"id": "3abb03b50ed38487ba122bb0330ea7217f6f49c2", "title": "Semantic segmentation priors for object discovery", "addresses": [{"name": "Catchoom, Barcelona, Spain", "source_name": "Catchoom, Barcelona, Spain", "street_adddress": "Rambla de Catalunya, 123, 08006 Barcelona, Spain", "lat": "41.39476070", "lng": "2.15811140", "type": "edu", "country": "Spain"}, {"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}, {"name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "source_name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "street_adddress": "C/ Llorens i Artigas 4-6, 08028 Barcelona, Spain", "lat": "41.38295500", "lng": "2.11573820", "type": "edu", "country": "Spain"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.ais.uni-bonn.de/papers/ICPR_2016_Martin.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899691", "http://doi.org/10.1109/ICPR.2016.7899691"]}, {"id": "39223c8e64221062cd992e7e89e6db858014eac1", "title": "Progressive Recurrent Learning for Visual Recognition", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12047.pdf"], "doi": []}, {"id": "750896331f6d74495037f6c8f6c821b0c50ee44e", "title": "Deconstructing the Deformable Parts Model : Do More with Less", "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": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca09/b434e55db0f5772be7638afa3bd8f785a199.pdf"], "doi": []}, {"id": "778b73effb652ab54c17de194e7ed38f58e5b5be", "title": "Measuring and increasing the capacity of Natural HOG Statistics", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/778b/73effb652ab54c17de194e7ed38f58e5b5be.pdf"], "doi": []}, {"id": "cb05bb5397e077aff7bac3ee26eaabed2779e914", "title": "Deep Learning based Vehicle Detection in Aerial Imagery", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cb05/bb5397e077aff7bac3ee26eaabed2779e914.pdf"], "doi": []}, {"id": "f99a2beca1e85015af62f728b70dc48be93a3c29", "title": "Cross-Modal Learning to Rank with Adaptive Listwise Constraint", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001658.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462599", "http://doi.org/10.1109/ICASSP.2018.8462599"]}, {"id": "eecc4466056761ba6d4909cfd7928de90af140d7", "title": "Dense and Sparse Labeling With Multidimensional Features for Saliency Detection", "addresses": [{"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7802636", "http://doi.org/10.1109/TCSVT.2016.2646720"]}, {"id": "6a64ac585cf7150253c690ed62bc92fb2894a347", "title": "Traffic congestion judgment based on linear spatial pyramid matching using sparse coding", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975892", "http://doi.org/10.1109/ICNC.2014.6975892"]}, {"id": "c0e25fb09fc844a8b7002a0a4ae4d6f13c287537", "title": "CSPS: An Adaptive Pooling Method for Image Classification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://media.pkusz.edu.cn/images/papers/%E5%8F%91%E8%A1%A8-CSPS_An_adaptive_pooling_method_for_Image.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7436795", "http://doi.org/10.1109/TMM.2016.2544099"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "People\u2019s Public Security University of China", "source_name": "People\u2019s Public Security University of China, Beijing, China", "street_adddress": "Changping, Beijing, China, 102202", "lat": "40.12794800", "lng": "116.27810200", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8467369", "http://doi.org/10.1109/TIP.2018.2870946", "https://www.ncbi.nlm.nih.gov/pubmed/30235130"]}, {"id": "7caa3a74313f9a7a2dd5b4c2cd7f825d895d3794", "title": "Markov Chain Monte Carlo for Automated Face Image Analysis", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-016-0967-5"]}, {"id": "e083d6f5084d8a8582af797999185c4e0d2c841a", "title": "R-CNNs for Pose Estimation and Action Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5212.pdf"], "doi": []}, {"id": "446154e26359e7f8fd2f314cca44c1e20da02ac3", "title": "DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06783.pdf"], "doi": []}, {"id": "18ccd8bd64b50c1b6a83a71792fd808da7076bc9", "title": "Object detection and segmentation from joint embedding of parts and pixels", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://www.eecs.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf", "http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126490", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126490", "http://doi.org/10.1109/ICCV.2011.6126490"]}, {"id": "8f310ac62e2e3685cf836bec5ad2dd5945f8c018", "title": "Tag refinement of micro-videos by learning from multiple data sources", "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": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4781-z"]}, {"id": "62f4df68cb1fbedf0c22fa292d9d9a9ef630d21d", "title": "Inverse Sparse Tracker With a Locally Weighted Distance Metric", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip15_ist.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7097026", "http://doi.org/10.1109/TIP.2015.2427518", "https://www.ncbi.nlm.nih.gov/pubmed/25935033", "https://www.wikidata.org/entity/Q48671535"]}, {"id": "21d7c74ed8a1c777debe96937c08b162ee01eac6", "title": "Exploring the Potential of Using Semantic Context and Common Sense in On-Road Vehicle Detection", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500468", "http://doi.org/10.1109/IVS.2018.8500468"]}, {"id": "d4efe5177a932305d0ac742b280da1e97a254f0c", "title": "Learning to detect, localize and recognize many text objects in document images from few examples", "addresses": [{"name": "A2iA SA, Paris, France", "source_name": "A2iA SA, Paris, France", "street_adddress": "39 Rue de la Bienfaisance, 75008 Paris, France", "lat": "48.87651350", "lng": "2.31476700", "type": "company", "country": "France"}, {"name": "Universit\u00e9 de Lyon, Lyon, France", "source_name": "CNRS, Universit\u00e9 de Lyon, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}, {"name": "LIRIS, INSA-Lyon, Villeurbanne, France", "source_name": "LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Teklia SAS, Paris, France", "source_name": "Teklia SAS, Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-018-0305-2"]}, {"id": "47a7b12776de302f5cf34df21eced1bff593dbcf", "title": "Combining deep reinforcement learning with prior knowledge and reasoning", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243067"]}, {"id": "ae4577f3a49ee56ea1c80f6884012c416d083ee5", "title": "Adaptive estimation of inlier and outlier threshold", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677398", "http://doi.org/10.1109/URAI.2013.6677398"]}, {"id": "cda356a979c0a57e1051830551f657db249e3c45", "title": "Architecture for Dynamic Allocation of Computer Vision Tasks", "addresses": [{"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967427"]}, {"id": "7b8ace072475a9a42d6ceb293c8b4a8c9b573284", "title": "Conditional Random Fields for multi-camera object detection", "addresses": [{"name": "EPFL, Lausanne (Switzerland)", "source_name": "EPFL, Lausanne (Switzerland)", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "ETHZ, Zurich (Switzerland)", "source_name": "ETHZ, Zurich (Switzerland)", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00855.pdf", "https://infoscience.epfl.ch/record/167890/files/Conditional%20Random%20Fields%20for%20Multi-Camera%20Object%20Detection.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126289", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126289", "http://doi.org/10.1109/ICCV.2011.6126289"]}, {"id": "335be9250ba4a69a303abc3e202fb7c9c8551f49", "title": "Large scale visual classification with SVM, create the unique article through NLP", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8257788"]}, {"id": "553c4cb8ae6968515efe7ffcb6c30ca5338a32de", "title": "InverseNet: Solving Inverse Problems with Splitting Networks", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00202.pdf"], "doi": []}, {"id": "16161051ee13dd3d836a39a280df822bf6442c84", "title": "Learning Efficient Object Detection Models with Knowledge Distillation", "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"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4bd3/f187f3e09483b1f0f92150a4a77409691b0f.pdf"], "doi": []}, {"id": "1504eae5487e1e062fef96e1e424de5d3a5a3858", "title": "MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078976"]}, {"id": "ed4bd8e3805853f906029f9b917f22b3cd2fc3bf", "title": "Lazy Dragging: Effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7889309", "http://doi.org/10.1109/TCE.2017.014769"]}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "b7407b2ea67b8c82246f013f4966c4cac1507e60", "title": "Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b740/7b2ea67b8c82246f013f4966c4cac1507e60.pdf"], "doi": []}, {"id": "8f76401847d3e3f0331bab24b17f76953be66220", "title": "Deep Coding Network", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"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": "2010", "pdf": ["http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2010_1077.pdf", "http://papers.nips.cc/paper/3929-deep-coding-network.pdf", "http://stat.rutgers.edu/home/tzhang/papers/nips10-coding.pdf", "http://www.linyq.com/DCN_slides.pdf"], "doi": ["http://papers.nips.cc/paper/3929-deep-coding-network"]}, {"id": "7bf7483f96a5f08a0c762831f7214b4caf451d24", "title": "Improving object detection accuracy with region and regression based deep CNNs", "addresses": [{"name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "source_name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "gov", "country": "China"}, {"name": "Ocean University of Chisana", "source_name": "Ocean University of Chisana, Qingdao, China", "street_adddress": "5 Yushan Rd, Shinan Qu, Qingdao Shi, Shandong Sheng, China", "lat": "36.06125500", "lng": "120.33530100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304297", "http://doi.org/10.1109/SPAC.2017.8304297"]}, {"id": "55f7699e768457d40c5232448cdca4503db2821b", "title": "Temporal consistency object tracker with ranking mechanism", "addresses": [{"name": "JiaYing University", "source_name": "JiaYing University, Meizhou, China", "street_adddress": "China, Guangdong, Meizhou, Meijiang, \u6885\u677e\u8def100\u53f7", "lat": "24.32538700", "lng": "116.12873200", "type": "edu", "country": "China"}, {"name": "Longyan University", "source_name": "Longyan University, Fujian, China", "street_adddress": "Xinluo, Longyan, China", "lat": "25.03291000", "lng": "117.01961900", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418834", "http://doi.org/10.1109/ROBIO.2015.7418834"]}, {"id": "4e5be30a51f6f5cde38b4917ab9e8c51d85ad16c", "title": "Fast dynamic video content exploration", "addresses": [{"name": "MIT Lincoln Laboratory", "source_name": "MIT Lincoln Laboratory", "street_adddress": "244 Wood St, Lexington, MA 02421, USA", "lat": "42.45895890", "lng": "-71.26749520", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6699013"]}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "03735225d5f956180cc252af3613796e75930f1a", "title": "Shifting Weights: Adapting Object Detectors from Image to Video", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/nips12-adapt.pdf", "http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video.pdf", "http://vision.stanford.edu/pdf/nips12-adapt.pdf"], "doi": ["http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video"]}, {"id": "d994cae1195536ed1298d9289f014e4a81b88ca7", "title": "Sparse Coding for Object Detection with Deformable Part Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d994/cae1195536ed1298d9289f014e4a81b88ca7.pdf"], "doi": []}, {"id": "c1611b8b68ecc1e4ab2c35a10af70698d26d32ef", "title": "A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546192", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546192", "http://doi.org/10.1109/ICPR.2018.8546192"]}, {"id": "d9a0ccbef012d48813334be3de8319f8dd98e3fb", "title": "Deep Uniqueness-Aware Hashing for Fine-Grained Multi-Label Image Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001683.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461906", "http://doi.org/10.1109/ICASSP.2018.8461906"]}, {"id": "1c720c0da64d6e2e4e04cfa70216215bd33eade5", "title": "Region Trajectories for Video Semantic Concept Detection", "addresses": [{"name": "NVIDIA Research, New York, NY, USA", "source_name": "NVIDIA Research, New York, NY, USA", "street_adddress": "101 Crawfords Corner Rd Suite 4-205, Holmdel, NJ 07733, USA", "lat": "40.36511150", "lng": "-74.16754280", "type": "company", "country": "United States"}, {"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912046"]}, {"id": "504d79d7fba48645ef84a90b94a431f8a7e0612d", "title": "Compositional Compression of Deep Image Features Using Stacked Quantizers", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/504d/79d7fba48645ef84a90b94a431f8a7e0612d.pdf"], "doi": []}, {"id": "0dc0823a7485e2dfba9cdbcec788fe705c9bd8a1", "title": "Lazy dragging: effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Student, IEEE", "source_name": "Student, IEEE", "street_adddress": "Lubbock, TX 79409, USA", "lat": "33.58689190", "lng": "-101.87544120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8013247", "http://doi.org/10.1109/ICCE.2017.7889309"]}, {"id": "a23dbce36d200ef0c65ec29bbffea5b960361f3b", "title": "Pixel-wise neural cell instance segmentation", "addresses": [{"name": "Astellas Research Institute of America, IL, USA", "source_name": "Astellas Research Institute of America, IL, USA", "street_adddress": "8045 Lamon Ave, Skokie, IL 60077, USA", "lat": "42.02797290", "lng": "-87.74949910", "type": "edu", "country": "United States"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8363596", "http://doi.org/10.1109/ISBI.2018.8363596"]}, {"id": "41be021880a916305c82199ddc2298eb271f6590", "title": "Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05272.pdf"], "doi": []}, {"id": "99f95595c45bd7a4fe2cffff07850754955e5e2a", "title": "RRAM-Based Analog Approximate Computing", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"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"}, {"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": "2015", "pdf": ["https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/IEEE%20TCAD_170.pdf", "https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/TCAD15_None.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123597", "http://doi.org/10.1109/TCAD.2015.2445741"]}, {"id": "57642aa16d29bbd9f89f95e3f3dcb8291552db60", "title": "Benchmarking and Analyzing Deep Neural Network Training", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"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": ["http://www.cs.toronto.edu/~pekhimenko/Papers/iiswc18-tbd.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8573476", "http://doi.ieeecomputersociety.org/10.1109/IISWC.2018.8573476", "http://doi.org/10.1109/IISWC.2018.8573476"]}, {"id": "732e4016225280b485c557a119ec50cffb8fee98", "title": "Are all training examples equally valuable?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.6510.pdf"], "doi": []}, {"id": "73e3acf30ecce3771557aa083d5a83308049582b", "title": "Two-stream deep encoder-decoder architecture for fully automatic video object segmentation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305089", "http://doi.org/10.1109/VCIP.2017.8305089"]}, {"id": "6028f819adb0e79e8b846f4ff52fc7f1d4ee5711", "title": "RGB-D Human Detection and Tracking for Industrial Environments", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}, {"name": "Southwest Research Institute, San Antonio, USA", "source_name": "Southwest Research Institute, San Antonio, USA", "street_adddress": "6220 Culebra Rd, San Antonio, TX 78238, USA", "lat": "29.45212560", "lng": "-98.61028110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://robotics.dei.unipd.it/images/Papers/Conferences/MunaroIAS13.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-08338-4_119"]}, {"id": "36aa5dd816553ba2e666d2a4b7d2f346e4b56be2", "title": "Variable scale and anti-occlusion object tracking method with multiple feature integration", "addresses": [{"name": "Xi'an University of Posts and Telecommunications", "source_name": "Xi'an University of Posts and Telecommunications, Xi'an, China", "street_adddress": "W Chang'an Ave, ChangAnQu XiBu DaXueCheng ShangQuan, Changan Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.15246200", "lng": "108.90348400", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7883101"]}, {"id": "488fff23542ff397cdb1ced64db2c96320afc560", "title": "Weakly supervised localization of novel objects using appearance transfer", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_106_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299060", "http://doi.org/10.1109/CVPR.2015.7299060"]}, {"id": "537afabc561a2efa79a903f4859ca63e6592f340", "title": "Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06452.pdf"], "doi": []}, {"id": "e9d82ae7530e605c03440d362d78663c4af0edb6", "title": "Object Detection Using Color Entropies and a Fuzzy Classifier", "addresses": [{"name": "National Chung-Hsing University", "source_name": "National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.", "street_adddress": "No. 145\u865f, Xingda Road, South District, Taichung City, Taiwan 402", "lat": "24.12355200", "lng": "120.67532600", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410716", "http://doi.org/10.1109/MCI.2012.2228592"]}, {"id": "8e31c59c973cecce1a7ef114344513d1b6ec9001", "title": "Ask the dictionary: Soft-assignment location-orientation pooling for image classification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351672", "http://doi.org/10.1109/ICIP.2015.7351672"]}, {"id": "34ccebc467bad0fc179543bde7d1bc04bed2397c", "title": "Recognizing Actions Through Action-Specific Person Detection", "addresses": [{"name": "Computer Vision Centre Barcelona, Barcelona, Spain", "source_name": "Computer Vision Centre Barcelona, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7180357", "http://doi.org/10.1109/TIP.2015.2465147", "https://www.ncbi.nlm.nih.gov/pubmed/26259079"]}, {"id": "33ba256d59aefe27735a30b51caf0554e5e3a1df", "title": "Early active learning via robust representation and structured sparsity", "addresses": [{"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ijcai.org/Proceedings/13/Papers/234.pdf", "http://www.ijcai.org/Proceedings/13/Papers/234.pdf"], "doi": ["http://ijcai.org/Abstract/13/234"]}, {"id": "4efd04f737ff386edd943f2bd63499d1963f1a6f", "title": "Segmentation as selective search for object recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126456"]}, {"id": "78a981ad6e9e3b7839e815ccd96d9d8e773b3eed", "title": "Object recognition as ranking holistic figure-ground hypotheses", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5539839"]}, {"id": "72d7e11b30767f4f5993d794fc040328b23868b5", "title": "Deep neural network acceleration framework under hardware uncertainty", "addresses": [{"name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "source_name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "street_adddress": "La Jolla, CA 92093, USA", "lat": "32.88180060", "lng": "-117.23352350", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://moimani.weebly.com/uploads/2/3/8/6/23860882/isqed_18_nn__1_.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8357318", "http://doi.org/10.1109/ISQED.2018.8357318"]}, {"id": "419550e7b918c64785f087b17f7fde6c94bc6d4e", "title": "Distributional semantics with eyes: using image analysis to improve computational representations of word meaning", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2396422"]}, {"id": "a2a032f907c19256863e1e011b834eb1f8057a4c", "title": "Evaluating the WordsEye Text-to-Scene System: Imaginative and Realistic Sentences", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a2a0/32f907c19256863e1e011b834eb1f8057a4c.pdf"], "doi": []}, {"id": "0d746111135c2e7f91443869003d05cde3044beb", "title": "Partial face detection for continuous authentication", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "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": "2016", "pdf": ["https://arxiv.org/pdf/1603.09364.pdf"], "doi": []}, {"id": "ccd3dcbccae7d903608530bddf6381db8e723a7d", "title": "Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "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"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccd3/dcbccae7d903608530bddf6381db8e723a7d.pdf"], "doi": []}, {"id": "3dcf65754c6ea49ece027964348f4ee792dad758", "title": "Hierarchical joint-guided networks for semantic image segmentation", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001887.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952484", "http://doi.org/10.1109/ICASSP.2017.7952484"]}, {"id": "a864f8cb78958d2b5674e0a68f7e5d7afb4110d8", "title": "Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}, {"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08109.pdf"], "doi": []}, {"id": "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "title": "HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "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": "2019", "pdf": ["https://arxiv.org/pdf/1603.01249.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "8379f3cea577e393156c75f4c06560ba2472da94", "title": "Detection and localization with multi-scale models", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/mss_icpr.pdf", "https://eshed1.github.io/papers/mss_icpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899830", "http://doi.org/10.1109/ICPR.2016.7899830"]}, {"id": "3b60af814574ebe389856e9f7008bb83b0539abc", "title": "Label Refinement Network for Coarse-to-Fine Semantic Segmentation.", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00551.pdf"], "doi": []}, {"id": "863e0b05b60662cf969ad4f5d3314f70a78beaa7", "title": "Color\u2013depth multi-task learning for object detection in haze", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3732-6"]}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "92990ef7866ca906b595e2841e340725fb3ff8da", "title": "Generating Synthetic Data for Text Recognition", "addresses": [{"name": "CVIT, IIIT Hyderabad, India", "source_name": "CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.04224.pdf"], "doi": []}, {"id": "87c2e267fadac9d4f4f694125eb86eaaf7121797", "title": "Fine tuning CNNS with scarce training data \u2014 Adapting imagenet to art epoch classification", "addresses": [{"name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "source_name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/papers/Web_3.0/ICIP2016-hentschel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533049", "http://doi.org/10.1109/ICIP.2016.7533049"]}, {"id": "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "title": "Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "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": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04780.pdf"], "doi": []}, {"id": "68e596972d99635b5431357630512f1828ce90b4", "title": "Weakly Supervised RBM for Semantic Segmentation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/68e5/96972d99635b5431357630512f1828ce90b4.pdf"], "doi": []}, {"id": "6e7a9779dee831658e973ee26ac8bfed2d6da033", "title": "Human Pose Estimation for Multiple Frames", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6e7a/9779dee831658e973ee26ac8bfed2d6da033.pdf"], "doi": []}, {"id": "08eaa845a72a2b78e08e58592d8785942fced649", "title": "What's in a Question: Using Visual Questions as a Form of Supervision", "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": "2017", "pdf": ["https://arxiv.org/pdf/1704.03895.pdf"], "doi": []}, {"id": "420c46d7cafcb841309f02ad04cf51cb1f190a48", "title": "Multi-Scale Context Aggregation by Dilated Convolutions", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07122.pdf"], "doi": []}, {"id": "2603a85b305d041bf749934fe538315ecbc300c2", "title": "Non Maximal Suppression in Cascaded Ranking Models", "addresses": [{"name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "source_name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "street_adddress": "3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France", "lat": "48.70875900", "lng": "2.16400600", "type": "edu", "country": "France"}, {"name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "source_name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "source_name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "street_adddress": "1 Rue Honor\u00e9 d'Estienne d'Orves, 91120 Palaiseau, France", "lat": "48.71464030", "lng": "2.20565390", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/scia2013a.pdf", "https://users.aalto.fi/~kannalj1/publications/scia2013a.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38886-6_39"]}, {"id": "c23734cf46af7c299b72089e5cbc0e50b833e434", "title": "Edge color transform: a new operator for natural scene text localization", "addresses": [{"name": "Shahrood University of Technology", "source_name": "Shahrood University of Technology, Shahrood, Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u0633\u0645\u0646\u0627\u0646\u060c \u0634\u0627\u0647\u0631\u0648\u062f\u060c \u062e\u06cc\u0627\u0628\u0627\u0646 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u060c Iran", "lat": "36.39347730", "lng": "54.94178380", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4663-4"]}, {"id": "e8adb84bbcb4d36e276e4fb4be2e9a7c9e278778", "title": "Rank : Non-Linear Object Detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e8ad/b84bbcb4d36e276e4fb4be2e9a7c9e278778.pdf"], "doi": []}, {"id": "a5fa91dbc72f200970e70debe88375b71ddef40b", "title": "A new performance measure and evaluation benchmark for road detection algorithms", "addresses": [{"name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "source_name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "street_adddress": "Carl-Legien-Stra\u00dfe 30, 63073 Offenbach am Main, Germany", "lat": "50.08472490", "lng": "8.84064370", "type": "company", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany", "source_name": "Max Planck Institute for Intelligent Systems in T\u00fcbingen, Germany", "street_adddress": "Max-Planck-Ring 4, 72076 T\u00fcbingen, Germany", "lat": "48.53574060", "lng": "9.05809890", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.cvlibs.net/publications/Fritsch2013ITSC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728473", "http://doi.org/10.1109/ITSC.2013.6728473"]}, {"id": "605f5d08199b3202dd180590aef1a1648c0e309e", "title": "Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval", "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"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968473", "http://doi.org/10.1109/TMM.2017.2723841"]}, {"id": "025ceb084150433087cd9d3e6725ac439115e526", "title": "Controlling explanatory heatmap resolution and semantics via decomposition depth", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06463.pdf"], "doi": []}, {"id": "06e2178d029b78801c004e512d923f7ce7f9e8eb", "title": "3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/b949/b41677afb5635192a24ccdb7ec4ff7d6c889.pdf"], "doi": []}, {"id": "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "title": "Selective Weakly Supervised Human Detection under Arbitrary Poses", "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": "2017", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/y-cai-pr-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.025", "https://www.wikidata.org/entity/Q56524711"]}, {"id": "2814e52e0095c66ec24cf9ac4202ffb9b77c2706", "title": "Towards Automated Fish Detection Using Convolutional Neural Networks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559068"]}, {"id": "dcc6bc3751191d0c4be131352d5a5bc5d0a26e19", "title": "Performance evaluation of CBIR system based on object detection and evolutionary computation", "addresses": [{"name": "Govt. College of Engineering, Amravati India", "source_name": "Govt. College of Engineering, Amravati India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "Govt. College of Engineering, Amravati, India", "source_name": "Govt. College of Engineering, Amravati, India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "MIT India", "source_name": "M.I.T. College of Engineering Pune, India", "street_adddress": "Survey No. 124, Paud Road, MIT College Campus Ex, Shivtirthanagar, Kothrud, Pune, Maharashtra 411038, India", "lat": "18.51937200", "lng": "73.81496070", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7030849", "http://doi.org/10.1109/GCWCN.2014.7030849"]}, {"id": "0b9c5bfb4d8349bb3f6ddd6fb612b7f9657c93f8", "title": "Inverting and Visualizing Features for Object Detection", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.2278.pdf"], "doi": []}, {"id": "2774b83247331d10a87195290f8e9aa096640dde", "title": "Fast human detection using Node-Combined Part Detector", "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": "2011", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/caosong-icip-1569409401.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116493", "http://doi.org/10.1109/ICIP.2011.6116493"]}, {"id": "d1ff495047a47ea686cde7806cc04b377ef9984f", "title": "Augmented songbook: an augmented reality educational application for raising music awareness", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}, {"name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "source_name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "street_adddress": "14-16 Rue Voltaire, 94270 Le Kremlin-Bic\u00eatre, France", "lat": "48.81552200", "lng": "2.36297300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de La Rochelle", "source_name": "L3i Laboratory, Universit\u00e9 de La Rochelle, La Rochelle cedex 1, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4991-4"]}, {"id": "8448b75afec91e618ab1c2dade7d5500f6ae4289", "title": "The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://vision.eecs.yorku.ca/publications/wildesPAMI2014.pdf", "http://www.cse.yorku.ca/vision/publications/wildesPAMI2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678506", "http://doi.org/10.1109/TPAMI.2013.233", "https://www.ncbi.nlm.nih.gov/pubmed/26353200", "https://www.wikidata.org/entity/Q50620276"]}, {"id": "5907ca4b91c8e8d846871e045bce9a4ca851053a", "title": "Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation", "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 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"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "2014", "pdf": ["http://eiger.ddns.comp.nus.edu.sg/pubs/fusionofmultichannelstructures-tip2014.pdf", "https://pdfs.semanticscholar.org/5907/ca4b91c8e8d846871e045bce9a4ca851053a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728663", "http://doi.org/10.1109/TIP.2014.2303650", "https://www.ncbi.nlm.nih.gov/pubmed/24723537"]}, {"id": "391e52ac04408d3e6496614ffafd6ac89c1b6c45", "title": "Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://ais.informatik.uni-freiburg.de/teaching/ws14/seminar_robotperception/papers/paper_02.pdf", "http://openaccess.thecvf.com/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/data/cvpr14_Seeing3DChairs.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/texts/Aubry14.pdf", "http://www.di.ens.fr/~josef/publications/aubry14.pdf", "https://hal.inria.fr/hal-01057240/file/Aubry14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.487", "http://doi.org/10.1109/CVPR.2014.487"]}, {"id": "a03c62d4206d4dd0ef4bf8312bfdb0d4971a1123", "title": "Modeling Visual Context Is Key to Augmenting Object Detection Datasets", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07428.pdf"], "doi": []}, {"id": "c38082dc5434f0ce4e03394c1187465037eda6bb", "title": "Alcohol Induced Alterations to the Human Fecal VOC Metabolome", "addresses": [{"name": "George Mason University", "source_name": "George Mason University", "street_adddress": "George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA", "lat": "38.83133325", "lng": "-77.30798839", "type": "edu", "country": "United States"}, {"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c380/82dc5434f0ce4e03394c1187465037eda6bb.pdf"], "doi": []}, {"id": "424561d8585ff8ebce7d5d07de8dbf7aae5e7270", "title": "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7485869"]}, {"id": "1158de029ac516d1f073c8db46005f187eceb0ef", "title": "Region-Based Convolutional Networks for Accurate Object Detection and Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7112511"]}, {"id": "feaedf4b24f8d7673c59659cadd4237c2a1dbc90", "title": "A large-scale solar image dataset with labeled event regions", "addresses": [{"name": "Montana State University", "source_name": "Montana State University, Bozeman, MT 59717, USA", "street_adddress": "Bozeman, MT 59717, USA", "lat": "45.66039860", "lng": "-111.04518180", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738896", "http://doi.org/10.1109/ICIP.2013.6738896", "https://www.wikidata.org/entity/Q57765181"]}, {"id": "5b93f70e05b1a1b4a7c2f03a82c9a5178a38cd61", "title": "Comparison of different real time VOC measurement techniques in a ponderosa pine forest", "addresses": [{"name": "University of Innsbruck", "source_name": "Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria", "street_adddress": "Innrain 52, 6020 Innsbruck, Austria", "lat": "47.26335420", "lng": "11.38380060", "type": "edu", "country": "Austria"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/13da/36f4e6be3cd308cf77436c16baba1155278a.pdf"], "doi": []}, {"id": "2eb6caace8296fd4dfd4947efa4fe911c8e133b2", "title": "Measuring the Objectness of Image Windows", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6133291"]}, {"id": "98a77dabca47f102da4c9259ad29ca0fd1e25e89", "title": "PET: An eye-tracking dataset for animal-centric Pascal object classes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177450"]}, {"id": "00bc01bc02b4c602e28bbcc162fa33d449a1e0e6", "title": "Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"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": "2013", "pdf": ["https://pdfs.semanticscholar.org/00bc/01bc02b4c602e28bbcc162fa33d449a1e0e6.pdf"], "doi": []}, {"id": "b0204e6c7301281ec8460e5251cd7c3c83c40883", "title": "Pano-RSOD: A Dataset and Benchmark for Panoramic Road Scene Object 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"}, {"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b020/4e6c7301281ec8460e5251cd7c3c83c40883.pdf"], "doi": []}, {"id": "0fb39e6d74e3166598e190b67a5ddb6f530ac49d", "title": "MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Sherbrooke", "source_name": "University of Sherbrooke, Sherbrooke, Canada", "street_adddress": "2500 Boulevard de l'Universit\u00e9, Sherbrooke, QC J1K 0A5, Canada", "lat": "45.37463260", "lng": "-71.93038130", "type": "edu", "country": "Canada"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Miovision Technologies Inc., Kitchener, Canada", "source_name": "Miovision Technologies Inc., Kitchener, Canada", "street_adddress": "137 Glasgow St, Kitchener, ON N2G 4X8, Canada", "lat": "43.45091180", "lng": "-80.51357790", "type": "company", "country": "Canada"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8387876", "http://doi.org/10.1109/TIP.2018.2848705", "https://www.ncbi.nlm.nih.gov/pubmed/29994117"]}, {"id": "e8f6838a552919eee7b61be745888f2d4c480e22", "title": "Vision-Based Parking-Slot Detection: A DCNN-Based Approach and a Large-Scale Benchmark Dataset", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://sse.tongji.edu.cn/linzhang/files/parkingslot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8412601", "http://doi.org/10.1109/TIP.2018.2857407", "https://www.ncbi.nlm.nih.gov/pubmed/30028704"]}, {"id": "b183947ee15718b45546eda6b01e179b9a95421f", "title": "Edge Boxes: Locating Object Proposals from Edges", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930391.pdf", "http://vision.ucsd.edu/~pdollar/files/papers/ZitnickDollarECCV14edgeBoxes.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/ZitnickDollarECCV14edgeBoxes.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_26"]}, {"id": "cc8a2a5e8c777d2b1cf33220ab5cc28b242afc6e", "title": "Generating Large Scale Image Datasets from 3 D CAD Models", "addresses": [{"name": "University of Massachusetts Lowell", "source_name": "Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), University of Massachusetts Lowell, 01854, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cc8a/2a5e8c777d2b1cf33220ab5cc28b242afc6e.pdf"], "doi": []}, {"id": "322a7dad274f440a92548faa8f2b2be666b2d01f", "title": "Pyramid Scene Parsing Network", "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": "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/1612.01105.pdf"], "doi": []}, {"id": "b724c3f7ff395235b62537203ddeb710f0eb27bb", "title": "R-FCN: Object Detection via Region-based Fully Convolutional Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06409.pdf"], "doi": []}, {"id": "cfa6b08140d43fe8480987a03991268d804f6755", "title": "The impact of speciated VOCs on regional ozone increment derived from measurements at the UK EMEP supersites between 1999 and 2012", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/003c/ef920309c47bb9190c422c1c203a37622c09.pdf"], "doi": []}, {"id": "88bde2b1b4522c726d331218ce7fc6e1b27d8dde", "title": "Is object localization for free? - Weakly-supervised learning with convolutional neural networks", "addresses": [{"name": "INRIA Paris", "source_name": "RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France", "street_adddress": "2 Rue Simone IFF, 75012 Paris, France", "lat": "48.84162120", "lng": "2.38448010", "type": "edu", "country": "France"}, {"name": "INRIA, Paris, France", "source_name": "WILLOW project-team, Laboratoire d'Informatique de l'\u00c9cole Normale Sup\u00e9rieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298668"]}, {"id": "455da02e5048dffb51fb6ab5eb8aeca5926c9d9a", "title": "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005506"]}, {"id": "2fa1f1fc566a0b770b1f39ed5ca1e602a28a5636", "title": "Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.04143.pdf"], "doi": []}, {"id": "e56bb892c581f682052ddd3896c65a2b29e64612", "title": "Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02734.pdf"], "doi": []}, {"id": "9217e28b2273eb3b26e4e9b7b498b4661e6e09f5", "title": "Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02611.pdf"], "doi": []}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "a3d96844dc4fc3b51f3b8361c72f156800794251", "title": "BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01640.pdf"], "doi": []}, {"id": "f986968735459e789890f24b6b277b0920a9725d", "title": "Places: A 10 Million Image Database for Scene Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["http://places2.csail.mit.edu/PAMI_places.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968387", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2723009", "http://doi.org/10.1109/TPAMI.2017.2723009", "https://www.ncbi.nlm.nih.gov/pubmed/28692961"]}, {"id": "98bb60748eb8ef7a671cdd22faa87e377fd13060", "title": "Part-based R-CNNs for Fine-grained Category Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.3867.pdf"], "doi": []}, {"id": "428017f7a6df4d667275c7ac9b3feba39b70e4ae", "title": "CNN-RNN: A Unified Framework for Multi-label Image Classification", "addresses": [{"name": "Horizon Robotics", "source_name": "Horizon Robotics", "street_adddress": "317 3F 1 Zhongguancun Street Haidian District Beijing, 100190 China", "lat": "39.97558000", "lng": "116.31126000", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04573.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "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/1611.05431.pdf"], "doi": []}, {"id": "6f9f143ec602aac743e07d092165b708fa8f1473", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07293.pdf"], "doi": []}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "5d165ff5b0b389e32809c17838a2afc218a91d62", "title": "Object Detectors Emerge in Deep Scene CNNs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6856.pdf"], "doi": []}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"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": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "0cb53a5ef780f037c1f2fd7de1f748b3f81726bc", "title": "FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.12347.pdf"], "doi": []}, {"id": "1c2c978faad6f27e05cf9e3fca509132ace8fae4", "title": "Beyond PASCAL: A benchmark for 3D object detection in the wild", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of 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": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836101"]}, {"id": "a6d030101caa64f4972760afb2719cee30511909", "title": "SUN RGB-D: A RGB-D scene understanding benchmark suite", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298655"]}, {"id": "ee4a012a4b12d11d7ab8c0e79c61e807927a163c", "title": "Rethinking Atrous Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05587.pdf"], "doi": []}, {"id": "7a96765c147c9c814803c8c9de28a1dd069271da", "title": "SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Technion", "source_name": "Technion", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": ["http://arxiv.org/pdf/1408.3456", "http://ie.technion.ac.il/~roiri/papers/simLex-arxiv.pdf", "http://www.aclweb.org/anthology/J/J15/J15-4004.pdf", "https://arxiv.org/pdf/1408.3456.pdf"], "doi": ["https://doi.org/10.1162/COLI_a_00237", "http://aclweb.org/anthology/J15-4004", "https://www.wikidata.org/entity/Q28732668"]}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "3647d6d0f151dc05626449ee09cc7bce55be497e", "title": "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04861.pdf"], "doi": []}, {"id": "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "title": "Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird\u2019s \u2013Eye View", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Korea", "source_name": "Electronics and Telecommunications Research Institute, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539407", "http://doi.org/10.1109/ICTC.2018.8539407"]}, {"id": "342786659379879f58bf5c4ff43c84c83a6a7389", "title": "Simultaneous Detection and Segmentation", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.1808.pdf"], "doi": []}, {"id": "e94183191183a368bf07eb544654bae4b3cbf407", "title": "DSSD : Deconvolutional Single Shot Detector", "addresses": [{"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.06659.pdf"], "doi": []}, {"id": "0ea75bdc42997d7d7e7bbee26db0d01e3019d8bc", "title": "Object Pose Dataset using Discriminatively Trained Deformable Part Models", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"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"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0ea7/5bdc42997d7d7e7bbee26db0d01e3019d8bc.pdf"], "doi": []}, {"id": "db7d44d14d393d21a95d22c0d6132d9faa197b7d", "title": "Interactive comment on \u201c What effect does VOC sampling time have on derived OH reactivity ? \u201d by", "addresses": [{"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wuppertal", "source_name": "Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany", "street_adddress": "Gau\u00dfstra\u00dfe 20, 42119 Wuppertal, Germany", "lat": "51.24500000", "lng": "7.14950000", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cc59/6c392c1367be2f78600a092de090e086ecd2.pdf"], "doi": []}, {"id": "76d6a8b09432b4ae59d1e3606e1bf1ed0448e8ec", "title": "What effect does VOC sampling time have on derived OH 1 reactivity ? 2 3", "addresses": [{"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wuppertal", "source_name": "Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany", "street_adddress": "Gau\u00dfstra\u00dfe 20, 42119 Wuppertal, Germany", "lat": "51.24500000", "lng": "7.14950000", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fe78/29d0620f3173581b93c78d6310740812fa09.pdf"], "doi": []}, {"id": "81fc84cb71dc61e3411e80129b082243d2c5b248", "title": "Optimizing Data Augmentation for Semantic Segmentation on Small-Scale Dataset", "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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3341020"]}, {"id": "14d9be7962a4ec5a6e55755f4c7588ea00793652", "title": "Return of the Devil in the Details: Delving Deep into Convolutional Nets", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.3531.pdf"], "doi": []}, {"id": "5f963e85c75db44fbd4234ff1d2744f94d1231da", "title": "Salient Object Detection: A Benchmark", "addresses": [{"name": "University of Wisconsin", "source_name": "University of Wisconsin, Madison, USA", "street_adddress": "Madison, WI 53706, USA", "lat": "43.07659200", "lng": "-89.41248750", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7293665"]}, {"id": "e4845fb1e624965d4f036d7fd32e8dcdd2408148", "title": "YOLOv3: An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02767.pdf"], "doi": []}, {"id": "428db42e86f6d51292e23fa57797e35cecd0e2ee", "title": "Hypercolumns for object segmentation and fine-grained localization", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298642"]}, {"id": "080aebd2cc1019f17e78496354c37195560b0697", "title": "MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems", "addresses": [{"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01274.pdf"], "doi": []}, {"id": "325d145af5f38943e469da6369ab26883a3fd69e", "title": "Colorful Image Colorization", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08511.pdf"], "doi": []}, {"id": "1109b663453e78a59e4f66446d71720ac58cec25", "title": "OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks", "addresses": [{"name": "Courant Institute of Mathematical Sciences", "source_name": "Courant Institute of Mathematical Sciences", "street_adddress": "Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72864840", "lng": "-73.99568630", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.6229.pdf"], "doi": []}, {"id": "722fcc35def20cfcca3ada76c8dd7a585d6de386", "title": "Caffe: Convolutional Architecture for Fast Feature Embedding", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654889"]}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "07045f87709d0b7b998794e9fa912c0aba912281", "title": "U-Net: Convolutional Networks for Biomedical Image Segmentation", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04597.pdf"], "doi": []}, {"id": "27ce4b367bf52854efa10adab729b484dcf315aa", "title": "Deep filter banks for texture recognition and segmentation", "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"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299007"]}, {"id": "2a4fc35acaf09517e9c63821cadd428a84832416", "title": "Learning object class detectors from weakly annotated video", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://webdiis.unizar.es/~jcivera/papers/prest_etal_cvpr12.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00905.pdf", "http://www.vision.ee.ethz.ch/publications/papers/proceedings/eth_biwi_00905.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248065", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248065", "http://doi.org/10.1109/CVPR.2012.6248065"]}, {"id": "47643d5e70a4c8e266f47c1b87997b55768722d2", "title": "A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/4764/3d5e70a4c8e266f47c1b87997b55768722d2.pdf"], "doi": []}, {"id": "d414e23d02fb43c35f9173d3f54af7035d51101d", "title": "Take Goods from Shelves: A Dataset for Class-Incremental Object Detection", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3325033"]}, {"id": "0c516f0a648258c467b164bc7aff9779ae68726c", "title": "Impact of artificial dataset enlargement on performance of deformable part models", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02862840", "lng": "28.89049070", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495710"]}, {"id": "273b9b7c63ac9196fb12734b49b74d0523ca4df4", "title": "The Secrets of Salient Object Segmentation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2807.pdf"], "doi": []}, {"id": "49ca83ef6277581ac2b8bf7c121cf8d1f222992e", "title": "Generalized Multiview Analysis: A discriminative latent space", "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": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247923"]}, {"id": "3f3a483402a3a2b800cf2c86506a37f6ef1a5332", "title": "DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06645.pdf"], "doi": []}, {"id": "022c485c5617bbf0b7f40475f9758cddd11a91af", "title": "Describing Textures in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1311.3618.pdf"], "doi": []}, {"id": "1abf6491d1b0f6e8af137869a01843931996a562", "title": "ParseNet: Looking Wider to See Better.", "addresses": [{"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04579.pdf"], "doi": []}, {"id": "2157f202c8c89d924dd4da4d1bcf92d16fcd8893", "title": "Image database TID2013: Peculiarities, results and perspectives", "addresses": [{"name": "Tampere University", "source_name": "Tampere University, Finland, Tampere, Finland", "street_adddress": "Kalevantie 4, 33100 Tampere, Finland", "lat": "61.49364940", "lng": "23.77885280", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["http://mcl.usc.edu/wp-content/uploads/2016/01/1-s2.0-S0923596514001490-main.pdf", "http://www.researchgate.net/profile/Vladimir_Lukin2/publication/268038378_Image_database_TID2013_Peculiarities_results_and_perspectives/links/5469a6b50cf20dedafd0e2fd.pdf"], "doi": ["https://doi.org/10.1016/j.image.2014.10.009", "https://doi.org/10.1016/j.image.2014.10.009", "https://www.wikidata.org/entity/Q61711236"]}, {"id": "063c6ae786c34d3722c6d9060df6339e246bbc3b", "title": "Texture Synthesis Using Convolutional Neural Networks", "addresses": [{"name": "Max Planck Institute for Biological Cybernetics", "source_name": "Max Planck Institute for Biological Cybernetics", "street_adddress": "Max-Planck-Institut f\u00fcr Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, T\u00fcbingen, Landkreis T\u00fcbingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72076, Deutschland", "lat": "48.53691250", "lng": "9.05922533", "type": "edu", "country": "Germany"}, {"name": "Baylor College of Medicine, Houston, TX, USA", "source_name": "Baylor College of Medicine, Houston, TX, USA", "street_adddress": "1 Baylor Plaza, Houston, TX 77030, USA", "lat": "29.71052900", "lng": "-95.39624100", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07376.pdf"], "doi": []}, {"id": "6b1ac8e438041ac02cc8fab5762ca069c386f473", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/%7Ekdtang/papers/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "fad0f098e178cf7f3065b282721509290ecf738c", "title": "Adversarial Learning for Semi-supervised Semantic Segmentation", "addresses": [{"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"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07934.pdf"], "doi": []}, {"id": "416a242f24246f8ee2c00f4d3d1561443dc65b59", "title": "Fully Connected Deep Structured Networks", "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": "2015", "pdf": ["https://arxiv.org/pdf/1503.02351.pdf"], "doi": []}, {"id": "1a767a8af36252bb557117c021393292d8a83b24", "title": "Generic Object Detection With Dense Neural Patterns and Regionlets", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.4316.pdf"], "doi": []}, {"id": "091458abbf195dcf9ce9591ec5ab981e6a8fb68a", "title": "From image-level to pixel-level labeling with Convolutional Networks", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298780"]}, {"id": "bea705a6a3793ffa2f61c33a82b759ad9f706947", "title": "Pyramid Attention Network for Semantic Segmentation", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": ["https://arxiv.org/pdf/1805.10180.pdf"], "doi": []}, {"id": "465cd01133c41f4b518fc118db54549fa04c4cd4", "title": "Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6459040"]}, {"id": "0e01db4197f71450118f81ae5a69ce4916b46421", "title": "Weakly-supervised Discovery of Visual Pattern Configurations", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6507.pdf"], "doi": []}, {"id": "d7ddad7bbda29de7676c21bfeac6be2ce0a07d6f", "title": "Dual Path Networks", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01629.pdf"], "doi": []}, {"id": "b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe", "title": "Subcategory-Aware Object Classification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore Laboratories", "source_name": "Panasonic Singapore Laboratories", "street_adddress": "Singapore", "lat": "1.33648800", "lng": "103.89329250", "type": "company", "country": "Singapore"}], "year": "2013", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a827.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618956", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.112", "http://doi.org/10.1109/CVPR.2013.112"]}, {"id": "4eee87d960754f755fdec073a160af3e2e31672f", "title": "PSANet: Point-wise Spatial Attention Network for Scene Parsing", "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": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCV_2018/papers/Hengshuang_Zhao_PSANet_Point-wise_Spatial_ECCV_2018_paper.pdf", "https://staff.ie.cuhk.edu.hk/~ccloy/files/eccv_2018_psanet.pdf", "https://staff.ie.cuhk.edu.hk/~ccloy/files/eccv_2018_psanet_supp.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01240-3_17"]}, {"id": "054756fa720bdcf1d320ad7a353e54ca53d4d3af", "title": "Semantic part segmentation using compositional model combining shape and appearance", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6124.pdf"], "doi": []}, {"id": "d6a799e64879290efb2a5c1b4f490737f0b1ab98", "title": "DSOD: Learning Deeply Supervised Object Detectors from Scratch", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01241.pdf"], "doi": []}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "0ebbc37e8c1e9766dc0ccf3780a824a30ad9d62e", "title": "Weakly- and Semi-supervised Panoptic Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03575.pdf"], "doi": []}, {"id": "60d5e6495fe87a09ceb7c39db8923f9957809a81", "title": "Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1705.03372.pdf"], "doi": []}, {"id": "b371a2555dfca39797e5045332e5baa2e82c2624", "title": "Weakly-Supervised Semantic Segmentation using Motion Cues", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07188.pdf"], "doi": []}, {"id": "e655c1688aae0ee4cc071fb13b29ef88511f5fe7", "title": "Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e655/c1688aae0ee4cc071fb13b29ef88511f5fe7.pdf"], "doi": []}, {"id": "ae587a4a8842fbe01b9a043b66f762a89dca5074", "title": "Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06254.pdf"], "doi": []}, {"id": "7c2897f6c8c79879a3152f14e791c3a3d1822163", "title": "Where Are the Blobs: Counting by Localization with Point Supervision", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09856.pdf"], "doi": []}, {"id": "1f45b6d800108a277f4b2866420eefee3d2581e0", "title": "Deeply Learning the Messages in Message Passing Inference", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.02108.pdf"], "doi": []}, {"id": "da55a255bc5b72bc90c017d97869ece4c6353bcd", "title": "Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7159101"]}, {"id": "b61c0b11b1c25958d202b4f7ca772e1d95ee1037", "title": "Bridging Category-level and Instance-level Semantic Image Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06885.pdf"], "doi": []}, {"id": "3070a1bd503c3767def898bbd50c7eea2bbf29c9", "title": "Wider or Deeper: Revisiting the ResNet Model for Visual Recognition", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.10080.pdf"], "doi": []}, {"id": "d612a1dd7aa359f1e315a22a825936b4dcb641e2", "title": "Weakly Supervised Region Proposal Network and Object Detection", "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": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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"}, {"name": "The Johns Hopkins University", "source_name": "The Johns Hopkins University, Center for Language and Speech Processing, USA", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCV_2018/papers/Peng_Tang_Weakly_Supervised_Region_ECCV_2018_paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01252-6_22"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "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": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "54d97ea9a5f92761dddd148fb0e602c2293e7c16", "title": "Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation", "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": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/54d9/7ea9a5f92761dddd148fb0e602c2293e7c16.pdf"], "doi": []}, {"id": "4d653b19ce1c7cba79fc2f11271fb90f7744c95c", "title": "Light-Weight RefineNet for Real-Time Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03272.pdf"], "doi": []}, {"id": "247ca98c5a46616044cf6ae32b0d5b4140a7a161", "title": "High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04339.pdf"], "doi": []}, {"id": "3f0214808397b0adbc14a5139bc8d811019a23e1", "title": "One-Shot Learning for Semantic Segmentation", "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/1709.03410.pdf"], "doi": []}, {"id": "b5f2846a506fc417e7da43f6a7679146d99c5e96", "title": "UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.0402.pdf"], "doi": []}, {"id": "276ebc620a8976026bd2d03582b9ecfa3738d43c", "title": "The MovieLens Datasets: History and Context", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2827872"]}, {"id": "187480101af3fb195993da1e2c17d917df24eb23", "title": "Unsupervised Visual Representation Learning by Context Prediction", "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": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.05192.pdf"], "doi": []}, {"id": "2c51c8da2f82a956e633049616b1bb7730faa2da", "title": "Context Aware Computing for The Internet of Things: A Survey", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512846"]}, {"id": "4aa4069693bee00d1b0759ca3df35e59284e9845", "title": "DeViSE: A Deep Visual-Semantic Embedding Model", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/85ac/48c3cc267671fd948ec1ae4c55ccbdd17ed6.pdf"], "doi": []}, {"id": "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "title": "Context Encoders: Feature Learning by Inpainting", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07379.pdf"], "doi": []}, {"id": "0b102b38463b3e1b133c5f237b8782474b4b04b4", "title": "State-of-the-Art in Visual Attention Modeling", "addresses": [{"name": "University of Southern California (USC)", "source_name": "Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180177"]}, {"id": "7845f1d3e796b5704d4bd37a945e0cf3fb8bbf1f", "title": "Multiple Object Recognition with Visual Attention", "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": "2015", "pdf": ["https://arxiv.org/pdf/1412.7755.pdf"], "doi": []}, {"id": "c71db5d3546e22227662ee0f0ce586495ef18899", "title": "SALICON: Saliency in Context", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/salicon_cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Jiang_SALICON_Saliency_in_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298710", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298710", "http://doi.org/10.1109/CVPR.2015.7298710"]}, {"id": "142f38642629b9d268999ad876af482177d36697", "title": "Improving Word Representations via Global Context and Multiple Word Prototypes", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e3e9/b5257e02608794a1d0396b469869e6021d9c.pdf"], "doi": []}, {"id": "39f63dbdce9207b87878290c0e3983e84cfcecd9", "title": "Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition", "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": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5740583"]}, {"id": "29efbe391950ae438c63d86ad5c82b2942efb0b4", "title": "Modeling Context in Referring Expressions", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00272.pdf"], "doi": []}, {"id": "c18a227461e6b3d38fa4515e287432fad8213838", "title": "The Visual Object Tracking VOT2016 Challenge Results", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e508/2b6f3fcd9cef29331214d91bac3c5b9ef544.pdf"], "doi": []}, {"id": "a8f24fcc1eb0354ffd91f0e3031f5c4dc3e02dd6", "title": "R-FCN: Object Detection via Region-based Fully Convolutional Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06409.pdf"], "doi": []}, {"id": "14421119527aa5882e1552a651fbd2d73bc94637", "title": "Searching for objects driven by context", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9b81/86b6bc1e05d7a473d2afebc8a12698d88691.pdf"], "doi": []}, {"id": "1c42b5543c315556c8a961b1a4ee8bc027f70b22", "title": "Accurate Scale Estimation for Robust Visual Tracking", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "Link\u00f6ping, Sweden", "source_name": "Link\u00f6ping, Sweden", "street_adddress": "Link\u00f6ping, Sweden", "lat": "58.41080700", "lng": "15.62137280", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9636/975226da25acb5d285681870c3abe66116e9.pdf"], "doi": []}, {"id": "7069a994c150b0228c4e471ca48ed55d7646bc62", "title": "Fast Visual Tracking via Dense Spatio-temporal Context Learning", "addresses": [{"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/eccv14_stc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930127.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_9", "https://www.wikidata.org/entity/Q57809194"]}, {"id": "a56ed0bc2d69094e351a044ae8bc64ca0da691f8", "title": "SVO: Fast semi-direct monocular visual odometry", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906584"]}, {"id": "2a049d7f943db9f5e4e9e244f18da68189a0c880", "title": "Multiple Kernel Learning for Visual Object Recognition: A Review", "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": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654166"]}, {"id": "a2ca5733c08aa206337141f41e746ceb19953037", "title": "Task context impacts visual object processing differentially across the cortex.", "addresses": [{"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a2ca/5733c08aa206337141f41e746ceb19953037.pdf"], "doi": []}, {"id": "2ac63e298fd3454099cf7d4851756da1de36c41c", "title": "Visual Object Tracking Performance Measures Revisited", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389405"]}, {"id": "371f40f6d32ece05cc879b6954db408b3d4edaf3", "title": "Mining semantic affordances of visual object categories", "addresses": [{"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": "2015", "pdf": ["http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015_poster.pdf", "http://www-personal.umich.edu/~ywchao/publications/chao_cvpr2015.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Chao_Mining_Semantic_Affordances_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299054", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299054", "http://doi.org/10.1109/CVPR.2015.7299054"]}, {"id": "616b7093cfe6ec679f25d63f62c16e937227258f", "title": "Bayesian Multi-object Tracking Using Motion Context from Multiple Objects", "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": ["http://faculty.ucmerced.edu/mhyang/papers/wacv15_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045866", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.12", "http://doi.org/10.1109/WACV.2015.12"]}, {"id": "97f8f968c69cb2b469d2f151e6957d6487cb6b30", "title": "Saliency detection by multi-context deep learning", "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"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298731"]}, {"id": "cef80e5c6012739fb23a90f8fd9218430a6496e3", "title": "Crowdsourcing Annotations for Visual Object Detection", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cf9d/aa503798c3d4e04131bc7bf01544666265d1.pdf"], "doi": []}, {"id": "14b4127ef56f57eab19bb48d80ec169e7b1be944", "title": "Deep Reinforcement Learning for Visual Object Tracking in Videos", "addresses": [{"name": "University of California at Santa Barbara", "source_name": "University of California, Santa Barbara, CA 93106 USA", "street_adddress": "Santa Barbara, CA 93106, USA", "lat": "34.41358680", "lng": "-119.84969760", "type": "edu", "country": "United States"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08936.pdf"], "doi": []}, {"id": "713f73ce5c3013d9fb796c21b981dc6629af0bd5", "title": "Deep Neural Networks for Object Detection", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/713f/73ce5c3013d9fb796c21b981dc6629af0bd5.pdf"], "doi": []}, {"id": "9e1a21c9af589fc2148ce96aa93c9df4a9e5ae02", "title": "Undoing the damage of dataset bias", "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": "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": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/khosla/papers/eccv2012_khosla.pdf", "http://sunw.csail.mit.edu/2013/papers/Khosla_45_SUNw.pdf", "http://www.eecs.berkeley.edu/~tinghuiz/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_12", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1777&context=robotics"]}, {"id": "f523c55a0a8057c5b08add761353ca79946feb07", "title": "Visual Translation Embedding Network for Visual Relation Detection", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08319.pdf"], "doi": []}, {"id": "5cb7e530a63d85d767f244f3c9f7903530312fd1", "title": "Reshaping Visual Datasets for Domain Adaptation", "addresses": [{"name": "U. of Southern California", "source_name": "U. of Southern California", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}, {"name": "U. of Texas at Austin", "source_name": "U. of Texas at Austin", "street_adddress": "Austin, TX 78712, USA", "lat": "30.28491850", "lng": "-97.73405670", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5cb7/e530a63d85d767f244f3c9f7903530312fd1.pdf"], "doi": []}, {"id": "5b03fed2831ac56fca15d033f2cfd584ce9cb04f", "title": "Active Visual Object Search in Unknown Environments Using Uncertain Semantics", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}, {"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507635"]}, {"id": "a4b7be9098847632b15d27ff1d0d04af93636b24", "title": "Visual co-occurrence network: using context for large-scale object recognition in retail", "addresses": [{"name": "SiliconScapes LLC, USA", "source_name": "SiliconScapes LLC, USA", "street_adddress": "United States", "lat": "37.09024000", "lng": "-95.71289100", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Toshiba", "source_name": "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "street_adddress": "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "lat": "35.54931130", "lng": "139.69201440", "type": "company", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351774"]}, {"id": "55666928dda9989153d869e4d99251cfa009f0b7", "title": "Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.3284.pdf"], "doi": []}, {"id": "a564fabf130ff6e2742cfba90c7a4018937d764d", "title": "Radiology Objects in COntext (ROCO): A Multimodal Image Dataset", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04-ROCO_Labels_MICCAI_2018.pdf", "https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01364-6_20", "https://www.wikidata.org/entity/Q57711936"]}, {"id": "5196f3f47be0b61ce3dcf495368771f352e0abba", "title": "Context as Supervisory Signal: Discovering Objects with Predictable Context", "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": "UC Berkeley, USA", "source_name": "UC Berkeley, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://graphics.cs.cmu.edu/projects/contextPrediction/contextPrediction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8691/86910362.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10578-9_24"]}, {"id": "03eb382e04cca8cca743f7799070869954f1402a", "title": "CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06890.pdf"], "doi": []}, {"id": "cf79d83a4a9662d83c9a05b8e7cb5c88b316c023", "title": "Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.03871.pdf"], "doi": []}, {"id": "1a4582ce17389f65f9c44c662b8140c306962e59", "title": "Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6942210"]}, {"id": "184902b1ed5787a3ac9fd9840dde52502cf4bd3c", "title": "Object scene flow for autonomous vehicles", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover, Germany", "source_name": "Leibniz Universität Hannover, Germany", "street_adddress": "Welfengarten 1, 30167 Hannover, Germany", "lat": "52.38296410", "lng": "9.71969890", "type": "edu", "country": "Germany"}, {"name": "MPI T\u00fcbingen, Germany", "source_name": "MPI Tübingen, Germany", "street_adddress": "Bingen, Germany", "lat": "49.96673960", "lng": "7.90459600", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_091_ext.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_abstract.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298925", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298925", "http://doi.org/10.1109/CVPR.2015.7298925"]}, {"id": "0aac1b61897c8e6b15112a2f67c83ff7cdc0e388", "title": "A Tree-Based Context Model for Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871649"]}, {"id": "13ccdfb9d2c2a77192c74ae6352bd684e312d0f8", "title": "Hypercolumns for object segmentation and fine-grained localization", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298642"]}, {"id": "507a5f137deb46622ebfb2de996b04990db7eff8", "title": "Segmentation of unknown objects in indoor environments", "addresses": [{"name": "Vienna University of Technology", "source_name": "Vienna University of Technology", "street_adddress": "TU Wien, Hauptgeb\u00e4ude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, \u00d6sterreich", "lat": "48.19853965", "lng": "16.36986168", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385661"]}, {"id": "6ac3acd8c0cd3d6b234cb2c3f9ca747056c794e0", "title": "Spatially supervised recurrent convolutional neural networks for visual object tracking", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050867"]}, {"id": "410c8e4ee643889c054db64f52f6c85ec7cbcd62", "title": "All-Day Visual Place Recognition : Benchmark Dataset and Baseline", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/410c/8e4ee643889c054db64f52f6c85ec7cbcd62.pdf"], "doi": []}, {"id": "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "title": "Fast Feature Pyramids for Object Detection", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Redmond, Redmond, USA", "source_name": "Microsoft Research Redmond, Redmond, USA", "street_adddress": "14865 NE 36th St, Redmond, WA 98052, USA", "lat": "47.64183920", "lng": "-122.14074650", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/49239/7/DollarPAMI14pyramids_0.pdf", "http://pdollar.github.io/files/papers/DollarPAMI14pyramids.pdf", "http://research.microsoft.com/pubs/220572/DollarPAMI14pyramids.pdf", "https://vision.cornell.edu/se3/wp-content/uploads/2014/09/DollarPAMI14pyramids_0.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714453", "http://doi.org/10.1109/TPAMI.2014.2300479", "https://www.ncbi.nlm.nih.gov/pubmed/26353336", "https://www.wikidata.org/entity/Q40558128"]}, {"id": "10b987b076fe56e08c89693cdb7207c13b870540", "title": "Anticipating Visual Representations from Unlabeled Video", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "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": "2016", "pdf": ["https://arxiv.org/pdf/1504.08023.pdf"], "doi": []}, {"id": "356223d76a850b7d312eec36c70e2f90d78086cc", "title": "Object Categorization Using Local Feature Context", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "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": "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": "2013", "pdf": ["http://www.nlpr.ia.ac.cn/2013papers/gjhy/gh75.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-35728-2_31"]}, {"id": "bed7834ae7d371171977a590872f60d137c2f951", "title": "GuessWhat?! Visual Object Discovery through Multi-modal Dialogue", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08481.pdf"], "doi": []}, {"id": "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "title": "Natural Language Object Retrieval", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.04164.pdf"], "doi": []}, {"id": "df4f851e3c37017822a683b1356c6c390b5b5487", "title": "Image Question Answering: A Visual Semantic Embedding Model and a New Dataset", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/df4f/851e3c37017822a683b1356c6c390b5b5487.pdf"], "doi": []}, {"id": "f25b9aed37614aae007fc876f31eed0595ab9cd0", "title": "Modeling Context Between Objects for Referring Expression Understanding", "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": "2016", "pdf": ["https://arxiv.org/pdf/1608.00525.pdf"], "doi": []}, {"id": "4c56224a7904445e0db836257ac270a517ace36a", "title": "An Object-Oriented Visual Saliency Detection Framework Based on Sparse Coding Representations", "addresses": [{"name": "University of Georgia", "source_name": "University of Georgia, Athens, GA, USA", "street_adddress": "Athens, GA 30602, USA", "lat": "33.94800530", "lng": "-83.37732210", "type": "edu", "country": "United States"}, {"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"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6419789"]}, {"id": "71167cf519940a7373adc221401c396198763ab0", "title": "Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7116/7cf519940a7373adc221401c396198763ab0.pdf"], "doi": []}, {"id": "3e207c05f438a8cef7dd30b62d9e2c997ddc0d3f", "title": "Objects as context for part detection", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3e20/7c05f438a8cef7dd30b62d9e2c997ddc0d3f.pdf"], "doi": []}, {"id": "c8f14f756f38f495a7d0e29b0152ceb8666b8533", "title": "Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "Western Sydney University", "source_name": "Western Sydney University", "street_adddress": "Western Sydney University, Parramatta City Campus, Smith Street, Parramatta, Sydney, Parramatta, NSW, 2150, Australia", "lat": "-33.81608480", "lng": "151.00560034", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0151/46a94f41db5abd92551a4334fd7daae468bf.pdf"], "doi": []}, {"id": "8113a6d723c6f6dd2ff9808cf745480f16abc3f9", "title": "Attentional Network for Visual Object Detection", "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"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01478.pdf"], "doi": []}, {"id": "35136314d998bfbacc4f264bcafcd2709e4d0f68", "title": "Evaluating visual ADAS components on the COnGRATS dataset", "addresses": [{"name": "Goethe University", "source_name": "Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany", "street_adddress": "60323 Frankfurt, Germany", "lat": "50.12706750", "lng": "8.66776350", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535508"]}, {"id": "87697847062e7eefec99a8c3aec888e3eef5e5b9", "title": "Unsupervised Learning of Spoken Language with Visual Context", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8769/7847062e7eefec99a8c3aec888e3eef5e5b9.pdf"], "doi": []}, {"id": "19d6b9725a59f4b624205829d5f03ac893ca1367", "title": "Long-Term Visual Object Tracking Benchmark", "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": "2017", "pdf": ["https://arxiv.org/pdf/1712.01358.pdf"], "doi": []}, {"id": "db9509228938a1788cabbad5827dcdb3be40b897", "title": "Using Discriminative Motion Context for Online Visual Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7342929"]}, {"id": "4b6c0a47cd124b521418c9bb63a0c7ba28806fbf", "title": "Exploring Visual and Motion Saliency for Automatic Video Object Extraction", "addresses": [{"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"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6482623"]}, {"id": "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "title": "Comparison of Visual Datasets for Machine Learning", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://rvc.eng.miami.edu/Paper/2017/IRI17_Gauen.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102956", "http://doi.ieeecomputersociety.org/10.1109/IRI.2017.59", "http://doi.org/10.1109/IRI.2017.59", "http://ecommons.luc.edu/cgi/viewcontent.cgi?article=1148&context=cs_facpubs"]}, {"id": "2d79d338c114ece1d97cde1aa06ab4cf17d38254", "title": "iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://crcv.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://ilab.usc.edu/publications/doc/Borji_etal16cvpr.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Borji_iLab-20M_A_Large-Scale_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.244", "http://doi.org/10.1109/CVPR.2016.244"]}, {"id": "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "title": "Exploring Person Context and Local Scene Context for Object Detection.", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08177.pdf"], "doi": []}, {"id": "a480b58babb1a940f857766add5df963c3636ae6", "title": "Visual Object Tracking by Structure Complexity Coefficients", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7117428"]}, {"id": "82070bef06578a24e63b2b739ec86d4d31bb576a", "title": "Dataset Augmentation in Feature Space", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05538.pdf"], "doi": []}, {"id": "373e134970bafb756f0ae2192be09469c3a2d71b", "title": "Holistic Context Models for Visual Recognition", "addresses": [{"name": "University of California at San Diego", "source_name": "Institute for Neural Computation University of California, San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989834"]}, {"id": "d576ebcb4a0fa54825f0ba05eaf18cd8f9bdda80", "title": "360\u00b0 Video Viewing Dataset in Head-Mounted Virtual Reality", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d576/ebcb4a0fa54825f0ba05eaf18cd8f9bdda80.pdf"], "doi": []}, {"id": "aa0dbfcc3cf172971cc5679c02add3f291c8f886", "title": "The dynamics of invariant object recognition in the human visual system.", "addresses": [{"name": "McGovern Institute for Brain Research", "source_name": "McGovern Institute for Brain Research", "street_adddress": "McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.36262950", "lng": "-71.09144810", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/aa0d/bfcc3cf172971cc5679c02add3f291c8f886.pdf"], "doi": []}, {"id": "7335283be19084ad4e7493f72f957741a0c0dce5", "title": "Learning to Place New Objects in a Scene", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1202.1694.pdf"], "doi": []}, {"id": "a754d21f37bbe3e477b6ca83095235699fcf74c9", "title": "Randomized visual phrases for object search", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248042"]}, {"id": "a7d713f3b465feff60a5f897df9618f8c4b53103", "title": "Object-Graphs for Context-Aware Visual Category Discovery", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871652"]}, {"id": "4fc90013e4e2297f33a86db106843917c824d6b9", "title": "Visual object tracking\u2014classical and contemporary approaches", "addresses": [{"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-015-4246-3"]}, {"id": "7df07834ddde670cd6c626025e0c769837e266ea", "title": "Visual Saliency Detection Based Object Recognition", "addresses": [{"name": "Yanshan University", "source_name": "Yanshan University, Qinhuangdao, China", "street_adddress": "438 Hebei Street West Section, Haigang Qu, Qinhuangdao Shi, Hebei Sheng, China", "lat": "39.90450800", "lng": "119.53971900", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7df0/7834ddde670cd6c626025e0c769837e266ea.pdf"], "doi": []}, {"id": "2f17f59c2e3b71ff8d35677b7c0d0949a3f804a8", "title": "The Role of Context Selection in Object Detection", "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"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02948.pdf"], "doi": []}, {"id": "1c300d0cda4177e69c7a442a1c9783dd8bad4776", "title": "Detection-based object labeling in 3D scenes", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6225316"]}, {"id": "23b696300a80c0479d571dadc20e50846e80b82c", "title": "Deep Visual Analogy-Making", "addresses": [{"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": "2015", "pdf": ["https://pdfs.semanticscholar.org/23b6/96300a80c0479d571dadc20e50846e80b82c.pdf"], "doi": []}, {"id": "79b566bd59a04d6ed8aa0bbffe1250cf955e841b", "title": "A dataset for Movie Description", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298940"]}, {"id": "ab43d5c4772f195d8b5fe9e2247458bd97b4af44", "title": "Visual features for context-aware speech recognition", "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7953112"]}, {"id": "03dbc94b54c85cc34815df629fb508c6729e6eab", "title": "LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03365.pdf"], "doi": []}, {"id": "a9a414604cff39f1a03c5547385dc421e6c8452e", "title": "Fully-Convolutional Siamese Networks for Object Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.09549.pdf"], "doi": []}, {"id": "0862940a255d980d46ef041ab20f153276f96214", "title": "3D Object Representations for Fine-Grained Categorization", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://ai.stanford.edu/~jkrause/papers/3drr13.pdf", "http://ai.stanford.edu/~jkrause/papers/3drr_talk.pdf", "http://vision.stanford.edu/pdf/3drr13.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/KrauseStarkDengFei-Fei_3DRR13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W19/papers/Krause_3D_Object_Representations_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755945"]}, {"id": "06064cddc8c3d0f270e09007dbeb27ff320d5e0d", "title": "Similarity-Based Fusion of MEG and fMRI Reveals Spatio-Temporal Dynamics in Human Cortex During Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7133/189b3532d268d581566b5730148fe9296a8d.pdf"], "doi": []}, {"id": "7698ba9fd1f49157ca2666a93311afbf1ff4e66c", "title": "Visual object detection with deformable part models", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2494532"]}, {"id": "0921135d6af30103ed20aa3cd0aadd8d26c3fee1", "title": "Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}, {"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": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6634163"]}, {"id": "d8def3d02cebd52f319486a9512f8364494eaece", "title": "Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://publications.lib.chalmers.se/records/fulltext/201290/local_201290.pdf"], "doi": ["https://doi.org/10.1016/j.trf.2014.08.004"]}, {"id": "1c9047137e58da1590b0a20d392f635aa29a2114", "title": "Randomized Spatial Context for Object Search", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047863"]}, {"id": "8c3ba3145630de8553fb59acfcf9d34bdd20b1ed", "title": "Visual tracking via adaptive structural local sparse appearance model", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247880"]}, {"id": "8dea22172bd3008ec3c8008bc6edfdfe1e33e439", "title": "CityPersons: A Diverse Dataset for Pedestrian Detection", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05693.pdf"], "doi": []}, {"id": "0b0a44fb4b4c22d86b4f9c72ef061c07b179c73d", "title": "Changedetection.net: A new change detection benchmark dataset", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6238919"]}, {"id": "a7bfb6426359140a0bc0c84741ad9a3ac83eff04", "title": "Object-Level Context Modeling For Scene Classification with Context-CNN", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04358.pdf"], "doi": []}, {"id": "16c6e567091d6eea117f50173f7c0e03c4e54ea0", "title": "Contextual Object Detection With Spatial Context Prototypes", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6809976", "http://doi.org/10.1109/TMM.2014.2321534"]}, {"id": "67f3c7fa63f22a2814f7b25fc71c2e60c7b975ff", "title": "Object Templates for Visual Place Categorization", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": ["https://cs.nju.edu.cn/_upload/tpl/00/ed/237/template237/paper/ACCV2012_VPC_ObejctTemplates.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-37447-0_36"]}, {"id": "a4044c27188bd7279e406e0508f4a9548ba909c3", "title": "A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805258"]}, {"id": "7c0773c7578433a2277e919ac824f142d5de351c", "title": "Zero-shot object recognition by semantic manifold distance", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Fu_Zero-Shot_Object_Recognition_2015_CVPR_paper.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/11767/Gong%20Zero-shot%20object%20recognition%202015%20Accepted.pdf?sequence=1", "https://www.eecs.qmul.ac.uk/~sgg/papers/FuEtAl_CVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298879", "http://doi.org/10.1109/CVPR.2015.7298879"]}, {"id": "7fc43874c925ea0dfd4efb97c9595a00fa183afc", "title": "Visual perception based adaptive feature fusion for visual object tracking", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122800"]}, {"id": "7fb8d9c36c23f274f2dd84945dd32ec2cc143de1", "title": "Semantic segmentation with second-order pooling", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/eccv2012.pdf", "http://videolectures.net/site/normal_dl/tag=725540/eccv2012_carreira_semantic_01.pdf", "http://www.eecs.berkeley.edu/~carreira/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33786-4_32"]}, {"id": "280d632ef3234c5ab06018c6eaccead75bc173b3", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "214f552070a7eb5ef5efe0d6ffeaaa594a3c3535", "title": "Learning Everything about Anything: Webly-Supervised Visual Concept Learning", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://allenai.org/content/publications/objectNgrams_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Divvala_Learning_Everything_about_2014_CVPR_paper.pdf", "http://www.istc-cc.cmu.edu/publications/papers/2014/divvala2014lea.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909814", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.412", "http://doi.org/10.1109/CVPR.2014.412"]}]}
\ No newline at end of file
diff --git a/site/datasets/final/afw.json b/site/datasets/final/afw.json
index 608f0c30..7673dbee 100644
--- a/site/datasets/final/afw.json
+++ b/site/datasets/final/afw.json
@@ -1 +1 @@
-{"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "dataset": {"key": "afw", "name_short": "AFW", "name_display": "Annotated Faces in The Wild Dataset", "name_full": "Annotated Faces in the Wild", "purpose": "face detection, pose estimation, face landmarks", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://web.archive.org/web/20180427144541/http://www.ics.uci.edu/~xzhu/face/", "verify_do": "Y", "verify_done": "", "cooperative": "Y", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "sources": "flickr", "source_cat": "", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2012", "ongoing": "", "images": "205 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "468 ", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "", "size_gb": "0.48", "agreement": "Y", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "key": "afw", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "pdf": [], "address": "", "name": "AFW", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248014"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "bad2df94fa771869fa35bd11a1a7ab2e3f6d1da3", "title": "Multi-pose facial expression recognition based on SURF boosting", "addresses": [{"name": "Jiangsu University", "source_name": "Jiangsu University", "street_adddress": "\u6c5f\u82cf\u5927\u5b66, 301, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212013, \u4e2d\u56fd", "lat": "32.20302965", "lng": "119.50968362", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.infomus.org/Events/proceedings/ACII2015/papers/Main_Conference/M2_Poster/Poster_Teaser_5/ACII2015_submission_68.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7344635", "http://doi.ieeecomputersociety.org/10.1109/ACII.2015.7344635", "http://doi.org/10.1109/ACII.2015.7344635"]}, {"id": "632b24ddd42fda4aebc5a8af3ec44f7fd3ecdc6c", "title": "Real-Time Facial Segmentation and Performance Capture from RGB Input", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02647.pdf"], "doi": []}, {"id": "e3a6e9ddbbfc4c5160082338d46808cea839848a", "title": "Vision-Based Classification of Developmental Disorders Using Eye-Movements", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f5d0/2300271ab0f32f10bfbba5562c0fa83c5727.pdf"], "doi": []}, {"id": "a60907b7ee346b567972074e3e03c82f64d7ea30", "title": "Head Motion Signatures from Egocentric Videos", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}, {"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a609/07b7ee346b567972074e3e03c82f64d7ea30.pdf"], "doi": []}, {"id": "1fe59275142844ce3ade9e2aed900378dd025880", "title": "Facial Landmark Detection via Progressive Initialization Shengtao", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1fe5/9275142844ce3ade9e2aed900378dd025880.pdf"], "doi": []}, {"id": "2dbde64ca75e7986a0fa6181b6940263bcd70684", "title": "Pose Independent Face Recognition by Localizing Local Binary Patterns via Deformation Components", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/wp-content/uploads/2016/01/2014_pose_independent.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977479", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2014.766", "http://doi.org/10.1109/ICPR.2014.766"]}, {"id": "3f204a413d9c8c16f146c306c8d96b91839fed0c", "title": "Menpo: A Comprehensive Platform for Parametric Image Alignment and Visual Deformable Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654890"]}, {"id": "40217a8c60e0a7d1735d4f631171aa6ed146e719", "title": "Part-Pair Representation for Part Localization", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900456.pdf", "http://www.cs.columbia.edu/~liujx09/papers/partpair_eccv14.pdf", "http://www.cs.columbia.edu/~yli/papers/Parts_Localization_ECCV2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_30"]}, {"id": "2edc6df161f6aadbef9c12408bdb367e72c3c967", "title": "Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666278"]}, {"id": "3803b91e784922a2dacd6a18f61b3100629df932", "title": "Temporal Multimodal Fusion for Video Emotion Classification in the Wild", "addresses": [{"name": "Orange", "source_name": "Orange Labs", "street_adddress": "78 Rue Olivier de Serres, 75015 Paris, France", "lat": "48.83321220", "lng": "2.29421550", "type": "company", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07200.pdf"], "doi": []}, {"id": "2201f187a7483982c2e8e2585ad9907c5e66671d", "title": "Joint Face Alignment and 3D Face Reconstruction", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1cad/9aa5095733b56e998ad0cd396e89c2bc9928.pdf"], "doi": []}, {"id": "285472527c5dc1c620d9644849e7519766c2d655", "title": "Learning Where to Position Parts in 3D", "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": "2015", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts.pdf", "http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410381", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.24", "http://doi.org/10.1109/ICCV.2015.24"]}, {"id": "3bf249f716a384065443abc6172f4bdef88738d9", "title": "A Hybrid Instance-based Transfer Learning Method", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01063.pdf"], "doi": []}, {"id": "bfea962697e9b445b89a865b465ae967dd55b4fe", "title": "Efficient object detection via structured learning and local classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bfea/962697e9b445b89a865b465ae967dd55b4fe.pdf"], "doi": []}, {"id": "a820941eaf03077d68536732a4d5f28d94b5864a", "title": "Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network", "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": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf", "http://or.nsfc.gov.cn/bitstream/00001903-5/156140/1/1000014276607.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410790", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.433", "http://doi.org/10.1109/ICCV.2015.433"]}, {"id": "940e5c45511b63f609568dce2ad61437c5e39683", "title": "Fiducial Facial Point Extraction Using a Novel Projective Invariant", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Gannan Normal University", "source_name": "Gannan Normal University, Ganzhou, China", "street_adddress": "Shangxue S Ave, Zhanggong Qu, Ganzhou Shi, Jiangxi Sheng, China", "lat": "25.79552400", "lng": "114.88722700", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006729", "http://doi.org/10.1109/TIP.2015.2390976", "https://www.ncbi.nlm.nih.gov/pubmed/25594969", "https://www.wikidata.org/entity/Q48687759"]}, {"id": "0f9dd79de75a3dce394846369f09c05ddf250e31", "title": "An accurate and real-time multi-view face detector using ORFs and doubly domain-partitioning classifier", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0751-6"]}, {"id": "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "title": "SREFI: Synthesis of realistic example face images", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06693.pdf"], "doi": []}, {"id": "2cb5db4df50921d276ad9e7186119a276324e465", "title": "Subtasks of Unconstrained Face Recognition", "addresses": [{"name": "McGovern Institute for Brain Research", "source_name": "McGovern Institute for Brain Research", "street_adddress": "McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.36262950", "lng": "-71.09144810", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cbcl.mit.edu/cbcl/publications/ps/Leibo_Liao_Poggio_VISAPP_2014.pdf", "http://cbcl.mit.edu/cbcl/publications/ps/Subtasks_Presentation_VISAPP2014.pdf", "http://cbcl.mit.edu/projects/cbcl/publications/ps/Subtasks_Presentation_VISAPP2014.pdf", "http://cbcl.mit.edu/publications/ps/Leibo_Liao_Poggio_VISAPP_2014.pdf", "http://cbmm.mit.edu/sites/default/files/publications/Leibo_Liao_Poggio_subtasks_VISAPP_2014.pdf", "http://dspace.mit.edu/bitstream/handle/1721.1/102486/Poggio_Subtasks%20of.pdf;sequence=1", "http://www.scitepress.org/Papers/2014/46942/46942.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294920", "http://doi.org/10.5220/0004694201130121", "http://dspace.mit.edu/openaccess-disseminate/1721.1/102486"]}, {"id": "1862cb5728990f189fa91c67028f6d77b5ac94f6", "title": "Speeding Up Tracking by Ignoring Features", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://insy.ewi.tudelft.nl/sites/default/files/zhang14cvpr_0.pdf", "http://lvdmaaten.github.io/publications/papers/CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhang_Speeding_Up_Tracking_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909561", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.165", "http://doi.org/10.1109/CVPR.2014.165"]}, {"id": "dc0341e5392c853f11283e99a7dc5c51be730aca", "title": "Simple head pose estimation in still images", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7203942"]}, {"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "title": "Interactive Facial Feature Localization", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"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": "2012", "pdf": ["http://www.ifp.illinois.edu/~vuongle2/helen/eccv2012_helen_final.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33712-3_49"]}, {"id": "d06c8e3c266fbae4026d122ec9bd6c911fcdf51d", "title": "Role for 2D image generated 3D face models in the rehabilitation of facial palsy", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d06c/8e3c266fbae4026d122ec9bd6c911fcdf51d.pdf"], "doi": []}, {"id": "d6639263381c929ebc579a541045a85aa21680f8", "title": "Visually classified & tagged video repository", "addresses": [{"name": "Amity University Uttar Pradesh", "source_name": "Amity University Uttar Pradesh", "street_adddress": "Amity University, Noida, Greater Noida Expressway, Noida Special Economic Zone, Bakhtawarpur, Ghaziabad, Uttar Pradesh, 201304, India", "lat": "28.54322285", "lng": "77.33274830", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508165"]}, {"id": "572dbaee6648eefa4c9de9b42551204b985ff863", "title": "The more the merrier: Analysing the affect of a group of people in images", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"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"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://mhug.disi.unitn.it/wp-content/uploads/2015/papers/2015/Dhall-FG2015.pdf", "http://staff.estem-uc.edu.au/roland/files/2009/05/Dhall_Joshi_Sikka_Goecke_Sebe_FG2015_TheMoreTheMerrier-AnalysingTheAffectOfAGroupOfPeopleInImages.pdf", "http://videolectures.net/site/normal_dl/tag=977258/fgconference2015_goecke_people_images_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163151", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163151", "http://doi.org/10.1109/FG.2015.7163151"]}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"], "doi": []}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "48a9241edda07252c1aadca09875fabcfee32871", "title": "Convolutional Experts Network for Facial Landmark 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": "2017", "pdf": [], "doi": []}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "b1fdd4ae17d82612cefd4e78b690847b071379d3", "title": "Supervised Descent Method", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/4fc5/416b6c7173d3462e5be796bda3ad8d5645a1.pdf"], "doi": []}, {"id": "3176ee88d1bb137d0b561ee63edf10876f805cf0", "title": "Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07356.pdf"], "doi": []}, {"id": "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "title": "Face Alignment via Regressing Local Binary Features", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384759", "http://doi.org/10.1109/TIP.2016.2518867", "https://www.ncbi.nlm.nih.gov/pubmed/26800539", "https://www.wikidata.org/entity/Q50538837"]}, {"id": "2cd426f10178bd95fef3dede69ae7b67e73bb70c", "title": "Real-time face alignment enhancement by tracking", "addresses": [{"name": "Zhejiang University of Technology", "source_name": "Zhejiang University of Technology", "street_adddress": "\u6d59\u6c5f\u5de5\u4e1a\u5927\u5b66, \u6f6e\u738b\u8def, \u671d\u6656\u8857\u9053, \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310014, \u4e2d\u56fd", "lat": "30.29315340", "lng": "120.16204580", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7866457", "http://doi.org/10.1109/ROBIO.2016.7866457"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "8983485996d5d9d162e70d66399047c5d01ac451", "title": "Deep feature-based face detection on mobile devices", "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"}, {"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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477230"]}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "89497854eada7e32f06aa8f3c0ceedc0e91ecfef", "title": "Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling", "addresses": [{"name": "Alibaba", "source_name": "AI Laboratories, Alibaba Group, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "company", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8219746", "http://doi.org/10.1109/TIP.2017.2784571", "https://www.ncbi.nlm.nih.gov/pubmed/29432093", "https://www.wikidata.org/entity/Q50064162"]}, {"id": "59c21f5a24d0b408d528054b016915236bb85bf2", "title": "Semi-automatic annotation tool for sign languages", "addresses": [{"name": "National Laboratory Astana, 53 Kabanbay batyr ave., Astana, Kazakhstan", "source_name": "National Laboratory Astana, 53 Kabanbay batyr ave., Astana, Kazakhstan", "street_adddress": "Qabanbay Batyr Ave 53, Astana 020000, Kazakhstan", "lat": "51.09495100", "lng": "71.40464470", "type": "edu", "country": "Kazakhstan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7991803"]}, {"id": "7343f0b7bcdaf909c5e37937e295bf0ac7b69499", "title": "Adaptive Cascade Deep Convolutional Neural Networks for face alignment", "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": "2015", "pdf": ["http://wuyuebupt.github.io/files/csi.pdf", "http://www1.ece.neu.edu/~yuewu/files/2015/1-s2.0-S0920548915000665-main.pdf"], "doi": ["http://doi.org/10.1016/j.csi.2015.06.004", "https://doi.org/10.1016/j.csi.2015.06.004"]}, {"id": "ccebd3bf069f5c73ea2ccc5791976f894bc6023d", "title": "Face detection based on deep convolutional neural networks exploiting incremental facial part learning", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900186", "http://doi.org/10.1109/ICPR.2016.7900186"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "2a8b1bcd397d987d7bb0963ec7e472c3ee6ebfa4", "title": "Salgan360: Visual Saliency Prediction On 360 Degree Images With Generative Adversarial Networks", "addresses": [{"name": "Universit\u00e9 Rennes, Rennes, France", "source_name": "INSA Rennes CNRS IETR-UMR 6164, Univ Rennes, Rennes, F-35000, France", "street_adddress": "35700 Rennes, France", "lat": "48.11698050", "lng": "-1.64119830", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551543"]}, {"id": "b104c8ef6735eba1d29f50c99bbbf99d33fc8dc2", "title": "Face hallucination based on neighbor embedding via illumination adaptation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.apsipa.org/proceedings_2015/pdf/199.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7415357", "http://doi.org/10.1109/APSIPA.2015.7415357", "https://doi.org/10.1109/APSIPA.2015.7415357"]}, {"id": "5480aee1d01700bb98f5a0e06dd15bf36a4e45ea", "title": "SelfID: How to make personal ID photo using selfie", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8330711"]}, {"id": "493f7f6db3160b3e011a96db8add618bcda39616", "title": "Beyond Trade-Off: Accelerate FCN-Based Face Detector with Higher Accuracy", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.05197.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296999", "http://doi.org/10.1109/ICIP.2017.8296999"]}, {"id": "887745c282edf9af40d38425d5fdc9b3fe139c08", "title": "FAME: Face Association through Model Evolution", "addresses": [{"name": "Bilkent University", "source_name": "Bilkent University", "street_adddress": "Bilkent \u00dcniversitesi, 3. Cadde, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87204890", "lng": "32.75395155", "type": "edu", "country": "Turkey"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1407.2987.pdf"], "doi": []}, {"id": "466f80b066215e85da63e6f30e276f1a9d7c843b", "title": "Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cbl.uh.edu/pub_files/07961802.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961802", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.81", "http://doi.org/10.1109/FG.2017.81"]}, {"id": "122f52fadd4854cf6c9287013520eced3c91e71a", "title": "Robust Point Set Matching for Partial Face Recognition", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7377089", "http://doi.org/10.1109/TIP.2016.2515987", "https://www.ncbi.nlm.nih.gov/pubmed/26761775", "https://www.wikidata.org/entity/Q35892863"]}, {"id": "ee418372b0038bd3b8ae82bd1518d5c01a33a7ec", "title": "CSE 255 Winter 2015 Assignment 1 : Eye Detection using Histogram of Oriented Gradients and Adaboost Classifier", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/ee41/8372b0038bd3b8ae82bd1518d5c01a33a7ec.pdf"], "doi": []}, {"id": "54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6", "title": "Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Delphi Deutschland GMBH", "source_name": "Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany", "street_adddress": "Delphipl. 1, 42119 Wuppertal, Germany", "lat": "51.23524380", "lng": "7.15931320", "type": "company", "country": "Germany"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911334", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2697958", "http://doi.org/10.1109/TPAMI.2017.2697958", "https://www.ncbi.nlm.nih.gov/pubmed/28459684"]}, {"id": "fe961cbe4be0a35becd2d722f9f364ec3c26bd34", "title": "Computer-based T racking , A nalysis , and Visualization of L inguistically S ignificant N onmanual E vents in American Sign Language ( ASL )", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"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": "2014", "pdf": ["https://pdfs.semanticscholar.org/fe96/1cbe4be0a35becd2d722f9f364ec3c26bd34.pdf"], "doi": []}, {"id": "e4fa062bff299a0bcef9f6b2e593c85be116c9f1", "title": "Cascaded Elastically Progressive Model for Accurate Face Alignment", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7407641", "http://doi.org/10.1109/TSMC.2016.2523930", "https://doi.org/10.1109/TSMC.2016.2523930"]}, {"id": "d140c5add2cddd4a572f07358d666fe00e8f4fe1", "title": "Statistically Learned Deformable Eye Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d140/c5add2cddd4a572f07358d666fe00e8f4fe1.pdf"], "doi": []}, {"id": "166b3ca3a43102e7d0a35d883e650ec4bbf2c3a5", "title": "Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499059"]}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7804415", "http://doi.org/10.1109/IVCNZ.2016.7804415"]}, {"id": "22c06284a908d8ad0994ad52119773a034eed7ee", "title": "Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks", "addresses": [{"name": "NTT Corporation, Atsugi, Japan", "source_name": "NTT Corporation, Atsugi, Japan", "street_adddress": "3-1 Morinosatowakamiya, Atsugi, Kanagawa Prefecture 243-0124, Japan", "lat": "35.44048960", "lng": "139.31561110", "type": "company", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967236"]}, {"id": "3f88ea8cf2eade325b0f32832561483185db5c10", "title": "Low-Rank and Joint Sparse Representations for Multi-Modal Recognition", "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"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7962177", "http://doi.org/10.1109/TIP.2017.2721838", "https://www.ncbi.nlm.nih.gov/pubmed/28682252", "https://www.wikidata.org/entity/Q38691339"]}, {"id": "465faf9974a60da00950be977f3bc2fc3e56f5d2", "title": "Facial action unit intensity estimation and feature relevance visualization with random regression forests", "addresses": [{"name": "University of Magdeburg", "source_name": "Institute for Information Technology and Communications, University of Magdeburg, Germany", "street_adddress": "Universit\u00e4tspl. 2, 39106 Magdeburg, Germany", "lat": "52.14020530", "lng": "11.64419910", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273631", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273631", "http://doi.org/10.1109/ACII.2017.8273631"]}, {"id": "6fd4048bfe3123e94c2648e53a56bc6bf8ff4cdd", "title": "Micro-facial movement detection using spatio-temporal features", "addresses": [{"name": "Manchester Metropolitan University", "source_name": "Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK", "street_adddress": "John Dalton Building, Manchester Metropolitan University, Chester St, Manchester M1 5GD, United Kingdom", "lat": "53.47173060", "lng": "-2.23992390", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fd4/048bfe3123e94c2648e53a56bc6bf8ff4cdd.pdf"], "doi": []}, {"id": "b2a0e5873c1a8f9a53a199eecae4bdf505816ecb", "title": "Hybrid VAE: Improving Deep Generative Models using Partial Observations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.11566.pdf"], "doi": []}, {"id": "8e60be8a25cc4a28220dd3092489baa84be903da", "title": "Multiview Landmark Detection for Identity-Preserving Alignment", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8e60/be8a25cc4a28220dd3092489baa84be903da.pdf"], "doi": []}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"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": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "023be757b1769ecb0db810c95c010310d7daf00b", "title": "Face Alignment Assisted by Head Pose Estimation", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03148.pdf"], "doi": []}, {"id": "24959d1a9c9faf29238163b6bcaf523e2b05a053", "title": "High Accuracy Head Pose Tracking Survey", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2495/9d1a9c9faf29238163b6bcaf523e2b05a053.pdf"], "doi": []}, {"id": "b239a756f22201c2780e46754d06a82f108c1d03", "title": "Robust multimodal recognition via multitask multivariate low-rank representations", "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": "2015", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/Fusion_FG_camera_ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163146", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163146", "http://doi.org/10.1109/FG.2015.7163146"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "2b64a8c1f584389b611198d47a750f5d74234426", "title": "Deblurring Face Images with Exemplars", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "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": "2014", "pdf": ["https://pdfs.semanticscholar.org/fb11/6f00320a37d80ec32561d1ab9b795c943202.pdf"], "doi": []}, {"id": "6eddea1d991e81c1c3024a6cea422bc59b10a1dc", "title": "Towards automatic analysis of gestures and body expressions in depression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6edd/ea1d991e81c1c3024a6cea422bc59b10a1dc.pdf"], "doi": []}, {"id": "01e27c91c7cef926389f913d12410725e7dd35ab", "title": "Semi-supervised annotation of faces in image collection", "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": [], "doi": ["http://doi.org/10.1007/s11760-017-1140-5"]}, {"id": "90eb66e75381cce7146b3953a2ae479a7beec539", "title": "Hybrid sensing face detection and recognition", "addresses": [{"name": "US Army Research Laboratory", "source_name": "US Army Research Laboratory, 2800 Powder Mill Rd, Adelphi, MD 20783, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}, {"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7444542", "http://doi.ieeecomputersociety.org/10.1109/AIPR.2015.7444542", "http://doi.org/10.1109/AIPR.2015.7444542"]}, {"id": "fd4ac1da699885f71970588f84316589b7d8317b", "title": "Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision", "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": "2014", "pdf": ["https://arxiv.org/pdf/1405.0601.pdf"], "doi": []}, {"id": "622785eb1f954ba028aa45671ded10a79aa139e5", "title": "FACE - Face At Classroom Environment: Dataset and Exploration", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}, {"name": "Maranatha Christian University", "source_name": "Faculty of Information Technology, Maranatha Christian University, Indonesia", "street_adddress": "M.P.H, Jl. Surya Sumantri No.65, Sukawarna, Sukajadi, Kota Bandung, Jawa Barat 40164, Indonesia", "lat": "-6.88647290", "lng": "107.58072670", "type": "edu", "country": "Indonesia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8608166"]}, {"id": "cf5c9b521c958b84bb63bea9d5cbb522845e4ba7", "title": "Towards Arbitrary-View Face Alignment by Recommendation Trees", "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"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.06627.pdf"], "doi": []}, {"id": "d350a9390f0818703f886138da27bf8967fe8f51", "title": "Lighting design for portraits with a virtual light stage", "addresses": [{"name": "University of Siegen", "source_name": "University of Siegen, Siegen, Germany", "street_adddress": "Adolf-Reichwein-Stra\u00dfe 2, 57068 Siegen, Germany", "lat": "50.91126130", "lng": "8.02545330", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532624"]}, {"id": "04f0292d9a062634623516edd01d92595f03bd3f", "title": "Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531742"]}, {"id": "23b466abb866e3f160f4573a69666f861aef59cc", "title": "EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction", "addresses": [{"name": "Indian Institute of Technology Ropar, India", "source_name": "Indian Institute of Technology Ropar, India", "street_adddress": "IIT, Rupnagar, Punjab 140001, India", "lat": "30.97563940", "lng": "76.53886800", "type": "edu", "country": "India"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07773.pdf"], "doi": []}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "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": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e", "title": "Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach", "addresses": [{"name": "IIT Madras, India", "source_name": "IIT Madras, India", "street_adddress": "Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India", "lat": "12.99149290", "lng": "80.23369070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["http://www.cse.iitm.ac.in/~amittal/wacv2015_review.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045875", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.21", "http://doi.org/10.1109/WACV.2015.21"]}, {"id": "d68dbb71b34dfe98dee0680198a23d3b53056394", "title": "VIVA Face-off Challenge : Dataset Creation and Balancing Privacy", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/d68d/bb71b34dfe98dee0680198a23d3b53056394.pdf"], "doi": []}, {"id": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without 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"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "a735c6330430c0ff0752d117c54281b1396b16bf", "title": "Automatic location of facial landmarks for plastic surgery procedures", "addresses": [{"name": "Cl\u00ednica Otocenter, Teresina, Piau\u00ed, Brasil", "source_name": "Cl\u00ednica Otocenter, Teresina, Piau\u00ed, Brasil", "street_adddress": "Centro (Sul), Teresina - PI, 64001-300, Brazil", "lat": "-5.09555590", "lng": "-42.80658870", "type": "company", "country": "Brazil"}, {"name": "Universidade Federal do Piau\u00ed, Teresina, Brasil", "source_name": "Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil", "street_adddress": "2001 - R. Dirce Oliveira, 1805 - Ininga, Teresina - PI, Brazil", "lat": "-5.05622440", "lng": "-42.78986450", "type": "edu", "country": "Brazil"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6974118", "http://doi.org/10.1109/SMC.2014.6974118"]}, {"id": "55cfc3c08000f9d21879582c6296f2a864b657e8", "title": "Comparisons of local methods for face alignment", "addresses": [{"name": "Shenyang University of Technology", "source_name": "Shenyang University of Technology, Shenyang, China", "street_adddress": "Tiexi, Shenyang, China", "lat": "41.73158300", "lng": "123.24926210", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0287", "https://doi.org/10.1049/iet-cvi.2015.0287"]}, {"id": "40c8cffd5aac68f59324733416b6b2959cb668fd", "title": "Pooling Facial Segments to Face: The Shallow and Deep Ends", "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/1701.08341.pdf"], "doi": []}, {"id": "12a56100a958c12049ad7f5e98c824e07d309999", "title": "Masked Loss Residual Convolutional Neural Network For Facial Keypoint Detection", "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 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"}, {"name": "Montana State University", "source_name": "Montana State University, Bozeman, MT 59717, USA", "street_adddress": "Bozeman, MT 59717, USA", "lat": "45.66039860", "lng": "-111.04518180", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/12a5/6100a958c12049ad7f5e98c824e07d309999.pdf"], "doi": []}, {"id": "57ebeff9273dea933e2a75c306849baf43081a8c", "title": "Deep Convolutional Network Cascade for Facial Point Detection", "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"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/CNN/data/CNN_FacePoint.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d476.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sun_Deep_Convolutional_Network_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/sunWTcvpr13.pdf", "http://www.iipl.fudan.edu.cn/~hdwu/liu_cvpr_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619290", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.446", "http://doi.org/10.1109/CVPR.2013.446"]}, {"id": "87bee0e68dfc86b714f0107860d600fffdaf7996", "title": "Automated 3D Face Reconstruction from Multiple Images Using Quality Measures", "addresses": [{"name": "University of Siegen", "source_name": "University of Siegen, Siegen, Germany", "street_adddress": "Adolf-Reichwein-Stra\u00dfe 2, 57068 Siegen, Germany", "lat": "50.91126130", "lng": "8.02545330", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://mi.informatik.uni-siegen.de/publications/piotraschke_autoreconst_cvpr16.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Piotraschke_Automated_3D_Face_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Piotraschke_Automated_3D_Face_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780741", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.372", "http://doi.org/10.1109/CVPR.2016.372"]}, {"id": "261a80216dda39b127d2b7497c068ec7e0fdf183", "title": "A Framework for Making Face Detection Benchmark Databases", "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"}, {"name": "Vols Taipei", "source_name": "Vols Taipei", "street_adddress": "Taipei, Taiwan", "lat": "25.03296940", "lng": "121.56541770", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6522507", "http://doi.org/10.1109/TCSVT.2013.2265571"]}, {"id": "a60db9ca8bc144a37fe233b08232d9c91641cbb5", "title": "Spatial alignment network for facial landmark localization", "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": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11280-018-0615-9"]}, {"id": "f94f366ce14555cf0d5d34248f9467c18241c3ee", "title": "Deep Convolutional Neural Network in Deformable Part Models for Face Detection", "addresses": [{"name": "Vietnam National University", "source_name": "VNU University of Science, Vietnam National University, Hanoi, Vietnam", "street_adddress": "334 Nguy\u1ec5n Tr\u00e3i, Thanh Xu\u00e2n Trung, Thanh Xu\u00e2n, H\u00e0 N\u1ed9i, Vietnam", "lat": "20.99593440", "lng": "105.80797250", "type": "edu", "country": "Vietnam"}, {"name": "Japan Advanced Institute of Science and Technology", "source_name": "Japan Advanced Institute of Science and Technology", "street_adddress": "JAIST (\u5317\u9678\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66), \u77f3\u5ddd\u770c\u905355\u53f7\u5c0f\u677e\u8fb0\u53e3\u7dda, Ishikawa Science Park, \u80fd\u7f8e\u5e02, \u77f3\u5ddd\u770c, \u4e2d\u90e8\u5730\u65b9, 923-1206, \u65e5\u672c", "lat": "36.44429490", "lng": "136.59285870", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f94f/366ce14555cf0d5d34248f9467c18241c3ee.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "3b7a6291712f9796a3add49a3f65f0acaa3e1335", "title": "Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition", "addresses": [{"name": "Effat University", "source_name": "Effat University, Jeddah, Saudi Arabia", "street_adddress": "An Nazlah Al Yamaniyyah, Jeddah 22332, Saudi Arabia", "lat": "21.47820560", "lng": "39.21066340", "type": "edu", "country": "Saudi Arabia"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470527", "http://doi.org/10.1109/TIFS.2016.2569061", "https://www.wikidata.org/entity/Q55872423"]}, {"id": "2c285dadfa6c07d392ee411d0213648a8a1cf68f", "title": "Image based Static Facial Expression Recognition with Multiple Deep Network Learning", "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": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830595"]}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "addresses": [{"name": "Bar-Ilan University", "source_name": "Bar-Ilan University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d1\u05e8 \u05d0\u05d9\u05dc\u05df, \u05db\u05d1\u05d9\u05e9 \u05d2\u05d4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05e7\u05e8\u05d9\u05d9\u05ea \u05de\u05d8\u05dc\u05d5\u05df, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.06932925", "lng": "34.84334339", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "0d781b943bff6a3b62a79e2c8daf7f4d4d6431ad", "title": "EmotiW 2016: video and group-level emotion recognition challenges", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997638"]}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "e896389891ba84af58a8c279cf8ab5de3e9320ee", "title": "Audio-visual speaker localization via weighted clustering", "addresses": [{"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://xavirema.eu/wp-content/papercite-data/pdf/Gebru-MLSP-2014.pdf", "https://hal.archives-ouvertes.fr/file/index/docid/1053732/filename/mainCameraReady-HAL.pdf", "https://hal.archives-ouvertes.fr/hal-01053732/file/mainCameraReady-HAL.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6958874", "http://doi.org/10.1109/MLSP.2014.6958874", "https://doi.org/10.1109/MLSP.2014.6958874"]}, {"id": "cc4fc9a309f300e711e09712701b1509045a8e04", "title": "Continuous Supervised Descent Method for Facial Landmark Localisation", "addresses": [{"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"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": "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/cea6/9010a2f75f7a057d56770e776dec206ed705.pdf"], "doi": []}, {"id": "d2f2b10a8f29165d815e652f8d44955a12d057e6", "title": "Multiscale binarised statistical image features for symmetric face matching using multiple descriptor fusion based on class-specific LDA", "addresses": [{"name": "Urmia University", "source_name": "Urmia University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0627\u0631\u0648\u0645\u06cc\u0647, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0627\u062f\u0627\u0631\u0647 \u06af\u0627\u0632 (\u0645\u0646\u0635\u0648\u0631 \u0627\u0641\u0634\u0627\u0631), \u062f\u0627\u0646\u0634\u06a9\u062f\u0647, \u0627\u0631\u0648\u0645\u06cc\u0647, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0627\u0631\u0648\u0645\u06cc\u0647, \u0627\u0633\u062a\u0627\u0646 \u0622\u0630\u0631\u0628\u0627\u06cc\u062c\u0627\u0646 \u063a\u0631\u0628\u06cc, 444655677, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "37.52914535", "lng": "45.04886077", "type": "edu", "country": "Iran"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-015-0475-1", "https://doi.org/10.1007/s10044-015-0475-1"]}, {"id": "5f448ab700528888019542e6fea1d1e0db6c35f2", "title": "Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization", "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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7416197", "http://doi.org/10.1109/LSP.2016.2533721"]}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"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": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "ff3a8474a77f9a69bc2c82e087f065d29d0f2114", "title": "Multi-scale face detection based on convolutional neural network", "addresses": [{"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623411"]}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"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": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "8875dcf2836315839741fd6944f249263408c27f", "title": "Facial landmark detection via self-adaption model and multi-task feature learning", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877807"]}, {"id": "6c26744149ae08af8bc84137633495fa948b41ad", "title": "Robust periocular biometrics based on Local Phase Quantisation and Gabor transform", "addresses": [{"name": "Centre of Development of Advanced Computing (CDAC), Mumbai, India", "source_name": "Centre of Development of Advanced Computing (CDAC), Mumbai, 400049, India", "street_adddress": "9, 10th Gulmohar Cross Rd, Gulmohar Road, JVPD Scheme, Juhu, Mumbai, Maharashtra 400049, India", "lat": "19.11471490", "lng": "72.83383690", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7003871"]}, {"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", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/849f/891973ad2b6c6f70d7d43d9ac5805f1a1a5b.pdf"], "doi": []}, {"id": "0ef20991e0ecc7dc3f6e0e5fd6ee93c4970206f3", "title": "Facial video super resolution using semantic exemplar components", "addresses": [{"name": "Sharp Laboratories of America, Camas, WA", "source_name": "Sharp Laboratories of America, Camas, WA", "street_adddress": "5750 NW Pacific Rim Blvd, Camas, WA 98607, USA", "lat": "45.59332750", "lng": "-122.46110560", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351013", "http://doi.org/10.1109/ICIP.2015.7351013"]}, {"id": "5e0b691e9e5812dd3cb120a8d77619a45aa8e4c4", "title": "Pose-indexed based multi-view method for face alignment", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532567", "http://doi.org/10.1109/ICIP.2016.7532567"]}, {"id": "102b27922e9bd56667303f986404f0e1243b68ab", "title": "Multiscale recurrent regression networks for face alignment", "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://applied-informatics-j.springeropen.com/track/pdf/10.1186/s40535-017-0042-5?site=applied-informatics-j.springeropen.com"], "doi": ["http://doi.org/10.1186/s40535-017-0042-5"]}, {"id": "70c3f7ade95e5f79adc02ca6171b4194ec347427", "title": "Face Alignment by Combining Residual Features in Cascaded Hourglass Network", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451574", "http://doi.org/10.1109/ICIP.2018.8451574"]}, {"id": "a4725a5b43e7c36d9e30028dff66958f892254a0", "title": "Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen / Imperial College London, Munich / London, England UK", "source_name": "Technische Universit\u00e4t M\u00fcnchen / Imperial College London, Munich / London, England UK", "street_adddress": "Kensington, London SW7 2AZ, UK", "lat": "51.49879970", "lng": "-0.17487720", "type": "edu", "country": "United Kingdom"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Munich, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666271"]}, {"id": "6e9a8a34ab5b7cdc12ea52d94e3462225af2c32c", "title": "Fusing Aligned and Non-aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Kim_Fusing_Aligned_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789677", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.187", "http://doi.org/10.1109/CVPRW.2016.187"]}, {"id": "d3367c9a4825295301225a05a190c0b7ed62736e", "title": "Real-time discrimination of frontal face using integral channel features and Adaboost", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6933582"]}, {"id": "587b8c147c6253878128ddacf6e5faf8272842a4", "title": "Driving High-Resolution Facial Scans with Video Performance Capture", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2638549"]}, {"id": "63c0bba6ac0937736ec4d8e147acda594cc1fb70", "title": "A New Method for Face Alignment under Extreme Poses and Occlusion", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546065"]}, {"id": "69737cf25979bf8d8886f63c44ef5b7c95a066e7", "title": "Real Time Facial Expression Recognition Based on Deep Convolutional Spatial Neural Networks", "addresses": [{"name": "Cochin University of Technology", "source_name": "Cochin University of Technology, Ernakulam, Kerala, India", "street_adddress": "University Road, South Kalamassery, Kalamassery, Kochi, Kerala 682022, India", "lat": "10.04433400", "lng": "76.32823380", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8529105"]}, {"id": "1e5a1619fe5586e5ded2c7a845e73f22960bbf5a", "title": "Group Membership Prediction", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.04783.pdf"], "doi": []}, {"id": "397257783ccc8cace5b67cc71e0c73034d559a4f", "title": "A 3D-Based Pose Invariant Face Recognition at a Distance Framework", "addresses": [{"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2014", "pdf": ["http://www.aun.edu.eg/reserches_files/14973.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918513", "http://doi.org/10.1109/TIFS.2014.2362299", "https://doi.org/10.1109/TIFS.2014.2362299"]}, {"id": "156cd2a0e2c378e4c3649a1d046cd080d3338bca", "title": "Exemplar based approaches on Face Fiducial Detection and Frontalization", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/156c/d2a0e2c378e4c3649a1d046cd080d3338bca.pdf"], "doi": []}, {"id": "21bd60919e2e182a29af455353141ba4907b1b41", "title": "Attended Visual Content Degradation Based Reduced Reference Image Quality Assessment", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "China University of Mining and Technology", "source_name": "China University of Mining and Technology", "street_adddress": "China University of Mining and Technology, 1\u53f7, \u5927\u5b66\u8def, \u6cc9\u5c71\u533a (Quanshan), \u5f90\u5dde\u5e02 / Xuzhou, \u6c5f\u82cf\u7701, 221116, \u4e2d\u56fd", "lat": "34.21525380", "lng": "117.13985410", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270602", "http://doi.org/10.1109/ACCESS.2018.2798573"]}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "3b84d074b8622fac125f85ab55b63e876fed4628", "title": "End-to-End Localization and Ranking for Relative Attributes", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02676.pdf"], "doi": []}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "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": "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": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "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": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "f3745aa4a723d791d3a04ddf7a5546e411226459", "title": "The Menpo Benchmark for Multi-pose 2D and 3D Facial Landmark Localisation and Tracking", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1134-y"]}, {"id": "7ed5036a7c1eb2ea08fa2a12a446a9ccb6171c92", "title": "Size variant landmark patches for Facial Action Unit detection", "addresses": [{"name": "Bah\u00e7e\u015fehir University", "source_name": "Bahcesehir University", "street_adddress": "BAU Galata, 24, Kemeralt\u0131 Caddesi, M\u00fceyyedzade, Beyo\u011flu, \u0130stanbul, Marmara B\u00f6lgesi, 34425, T\u00fcrkiye", "lat": "41.02451875", "lng": "28.97697953", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7746266"]}, {"id": "46b2ecef197b465abc43e0e017543b1af61921ac", "title": "Face alignment with Cascaded Bidirectional LSTM Neural Networks", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899652", "http://doi.org/10.1109/ICPR.2016.7899652"]}, {"id": "9cb7b3b14fd01cc2ed76784ab76304132dab6ff3", "title": "Facial landmark detection via pose-induced auto-encoder networks", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351174", "http://doi.org/10.1109/ICIP.2015.7351174"]}, {"id": "2dd902bb32bc106d828e1d0734477fed84df2ff0", "title": "Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer 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": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123276"]}, {"id": "c2474202d56bb80663e7bece5924245978425fc1", "title": "Localize heavily occluded human faces via deep segmentation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532771", "http://doi.org/10.1109/ICIP.2016.7532771"]}, {"id": "e6d6d1b0a8b414160f67142fc18e1321fe3f1c49", "title": "Semantic facial description via axiomatic Fuzzy Set based clustering", "addresses": [{"name": "Shenyang Aerospace University", "source_name": "College of Automation, Shenyang Aerospace University, China", "street_adddress": "Hanqing S Rd, Heping Qu, Shenyang Shi, Liaoning Sheng, China, 110016", "lat": "41.76538300", "lng": "123.41744800", "type": "edu", "country": "China"}, {"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7382037", "http://doi.org/10.1109/FSKD.2015.7382037"]}, {"id": "bd26faef48080b5af294b19139c804ffec70825e", "title": "VFM: Visual Feedback Model for Robust Object Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-015-1526-1"]}, {"id": "4dae1c18838233338481e3ed29bf6e1252cb68f2", "title": "Toward a Comprehensive Face Detector in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122006"]}, {"id": "4289f5d6255955a7a97e85b3d16e29accb52d96d", "title": "Multi-modal social signal analysis for predicting agreement in conversation settings", "addresses": [{"name": "Open University of Catalonia", "source_name": "Open University of Catalonia, Barcelona, Spain", "street_adddress": "Rambla del Poblenou, 156, 08018 Barcelona, Spain", "lat": "41.40649800", "lng": "2.19454320", "type": "edu", "country": "Spain"}, {"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2532594"]}, {"id": "050a3346e44ca720a54afbf57d56b1ee45ffbe49", "title": "Multi-cue Zero-Shot Learning with Strong Supervision", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08754.pdf"], "doi": []}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "a5ade88747fa5769c9c92ffde9b7196ff085a9eb", "title": "Why is facial expression analysis in the wild challenging?", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531924"]}, {"id": "08f1e9e14775757298afd9039f46ec56e80677f9", "title": "Attentional Push: Augmenting Salience with Shared Attention Modeling", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00072.pdf"], "doi": []}, {"id": "8a63a2b10068b6a917e249fdc73173f5fd918db0", "title": "A Review of Automated Pain Assessment in Infants: Features, Classification Tasks, and Databases", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8120021", "http://doi.org/10.1109/RBME.2017.2777907", "https://www.ncbi.nlm.nih.gov/pubmed/29989992"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "562f7555e5cb79ce0fe834c4613264d8378dd007", "title": "Spatio-temporal texture-based feature extraction for spontaneous facial expression recognition", "addresses": [{"name": "Monash University Malaysia", "source_name": "Monash University Malaysia", "street_adddress": "Monash University Malaysia, Jalan Lagoon Selatan, Kampung Lembah Kinrara, SS13, Subang Jaya, Selangor, 47500, Malaysia", "lat": "3.06405715", "lng": "101.60059740", "type": "edu", "country": "Malaysia"}], "year": "2015", "pdf": ["http://www.mva-org.jp/Proceedings/2015USB/papers/14-13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153112", "http://doi.org/10.1109/MVA.2015.7153112", "https://doi.org/10.1109/MVA.2015.7153112"]}, {"id": "113c22eed8383c74fe6b218743395532e2897e71", "title": "MODEC: Multimodal Decomposable Models for Human Pose Estimation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~taskar/pubs/modec_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d674.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sapp_MODEC_Multimodal_Decomposable_2013_CVPR_paper.pdf", "http://www.seas.upenn.edu/~bensapp/cvpr13-modec.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619315", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.471", "http://doi.org/10.1109/CVPR.2013.471"]}, {"id": "8bbd40558a99e33fac18f6736b8fe99f4a97d9b1", "title": "Visual Object Detection Using Cascades of Binary and One-Class Classifiers", "addresses": [{"name": "Eskisehir Osmangazi University", "source_name": "Eskisehir Osmangazi University", "street_adddress": "Eski\u015fehir Osmangazi \u00dcniversitesi Me\u015felik Yerle\u015fkesi, K\u00fctahya-Eski\u015fehir yolu, Sazova Mahallesi, Karag\u00f6zler, Tepeba\u015f\u0131, Eski\u015fehir, \u0130\u00e7 Anadolu B\u00f6lgesi, 26160, T\u00fcrkiye", "lat": "39.74875160", "lng": "30.47653071", "type": "edu", "country": "Turkey"}, {"name": "Laboratoire Jean Kuntzmann, Grenoble, France", "source_name": "Laboratoire Jean Kuntzmann, Grenoble, France", "street_adddress": "Laboratoire Jean Kuntzmann, 38610 Gi\u00e8res, France", "lat": "45.19348940", "lng": "5.77153180", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-016-0986-2", "https://doi.org/10.1007/s11263-016-0986-2"]}, {"id": "bf2f2696fdb4077b5ab18aa583f6376acadf2438", "title": "Supervised descent method based on appearance and shape for face alignment", "addresses": [{"name": "Institute of Automation Chinese Academy of Sciences, Beijing, China", "source_name": "Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 3rd St, \u4e2d\u5173\u6751", "lat": "39.97945600", "lng": "116.32845670", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7551684"]}, {"id": "336488746cc76e7f13b0ec68ccfe4df6d76cdc8f", "title": "Adaptive Cascade Regression Model For Robust Face Alignment", "addresses": [{"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": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7762938", "http://doi.org/10.1109/TIP.2016.2633939", "https://doi.org/10.1109/TIP.2016.2633939", "https://www.ncbi.nlm.nih.gov/pubmed/27913349"]}, {"id": "4f7967158b257e86d66bdabfdc556c697d917d24", "title": "Guaranteed Parameter Estimation of Discrete Energy Minimization for 3 D Scene Parsing", "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://pdfs.semanticscholar.org/4f79/67158b257e86d66bdabfdc556c697d917d24.pdf"], "doi": []}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "51b42da0706a1260430f27badcf9ee6694768b9b", "title": "Shape initialization without ground truth for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001278.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471882", "http://doi.org/10.1109/ICASSP.2016.7471882", "https://doi.org/10.1109/ICASSP.2016.7471882"]}, {"id": "982fcead58be419e4f34df6e806204674a4bc579", "title": "Performance improvement of face recognition algorithms using occluded-region detection", "addresses": [{"name": "Azbil Corporation, Kawana, Japan", "source_name": "Azbil Corporation 1-12-2, Kawana, Fujisawa-shi, 251-8522, Japan", "street_adddress": "2 Chome Kawana, Fujisawa, Kanagawa Prefecture 251-0015, Japan", "lat": "35.33414870", "lng": "139.49433560", "type": "company", "country": "Japan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://www.aoki.ecei.tohoku.ac.jp/~ito/207.pdf", "https://pdfs.semanticscholar.org/982f/cead58be419e4f34df6e806204674a4bc579.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6613012", "http://doi.org/10.1109/ICB.2013.6613012", "https://doi.org/10.1109/ICB.2013.6613012"]}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "addresses": [{"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "96ba65bffdddef7c7737c0f42ff4299e95cd85c2", "title": "Deep-learning-based face detection using iterative bounding-box regression", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5658-5", "https://doi.org/10.1007/s11042-018-5658-5"]}, {"id": "9d57c4036a0e5f1349cd11bc342ac515307b6720", "title": "Landmark Weighting for 3DMM Shape Fitting", "addresses": [{"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"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05399.pdf"], "doi": []}, {"id": "6144af24ce06af7d8cdd606e79cea5d6e73e2135", "title": "3D face landmark auto detection", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}, {"name": "Universit\u00e9 Of Bourgogne, France", "source_name": "Universit\u00e9 Of Bourgogne, France", "street_adddress": "Maison de l'universit\u00e9, Espl. Erasme, 21078 Dijon, France", "lat": "47.31290700", "lng": "5.06606800", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368276"]}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark 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": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "054756fa720bdcf1d320ad7a353e54ca53d4d3af", "title": "Semantic part segmentation using compositional model combining shape and appearance", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6124.pdf"], "doi": []}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "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": "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": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "a602b95a0e24c224f5812d08aa39b20588de699e", "title": "A Two-Step Learning Method for Detecting Landmarks on Faces from Different Domains", "addresses": [{"name": "Universidade Federal de Minas Gerais (UFMG), Brazil", "source_name": "Universidade Federal de Minas Gerais (UFMG), Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451026"]}, {"id": "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "addresses": [{"name": "Houston University", "source_name": "Houston Univ., TX, USA", "street_adddress": "3800 Montrose Blvd, Houston, TX 77006, USA", "lat": "29.73672400", "lng": "-95.39318250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"], "doi": []}, {"id": "2d072cd43de8d17ce3198fae4469c498f97c6277", "title": "Random Cascaded-Regression Copse for Robust Facial Landmark Detection", "addresses": [{"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"}, {"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"}], "year": "2015", "pdf": ["http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-IEEE-SPL-2015.pdf", "http://www.patrikhuber.ch/files/RCRC_SPL_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877655", "http://doi.org/10.1109/LSP.2014.2347011"]}, {"id": "6754c98ba73651f69525c770fb0705a1fae78eb5", "title": "Joint Cascade Face Detection and Alignment", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f68b/3031e7092072bd7b38c05448031f17b087d1.pdf"], "doi": []}, {"id": "3ed46ef5344927a30d71089ae203c9a9e35e4977", "title": "Face detection: A deep convolutional network method based on grouped facial part", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8054068", "http://doi.org/10.1109/IAEAC.2017.8054068"]}, {"id": "1ed6c7e02b4b3ef76f74dd04b2b6050faa6e2177", "title": "Face Detection with a 3D Model", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.3596.pdf"], "doi": []}, {"id": "2b6683dc7e94863e2df5d4ff2b5eb44c0b1957c7", "title": "Improving Robustness of Biometric Identity Determination with Digital Watermarking", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://downloads.hindawi.com/journals/jece/2016/6390741.pdf"], "doi": ["https://doi.org/10.1155/2016%2F6390741", "https://doi.org/10.1155/2016/6390741"]}, {"id": "29fd98f096fc9d507cd5ee7d692600b1feaf7ed1", "title": "Exploring Multimodal Visual Features for Continuous Affect Recognition", "addresses": [{"name": "Beijing Normal Univeristy, Beijing, China", "source_name": "Beijing Normal Univeristy, Beijing, China", "street_adddress": "19 Xinjiekou Outer St, BeiTaiPingZhuang, Haidian Qu, Beijing Shi, China, 100875", "lat": "39.96195370", "lng": "116.36626150", "type": "edu", "country": "China"}, {"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2988270"]}, {"id": "83011670e083dd52484578f8b6b3b4ccde3237ec", "title": "Mixture of trees with three layers", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8297179"]}, {"id": "50e04ffed39d130720cf9310f72ebc037f8f6392", "title": "Fully Convolutional Network for Head Detection with Depth Images", "addresses": [{"name": "University of Modena and Reggio", "source_name": "DIEF, University of Modena and Reggio, Modena, 41125, Italy", "street_adddress": "Via P. Vivarelli, 10, 41125 Modena MO, Italy", "lat": "44.62918470", "lng": "10.94879780", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545332"]}, {"id": "5ed5e534c8defd683909200c1dc31692942b7b5f", "title": "A Multimodal Approach to Assessing User Experiences with Agent Helpers", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983926"]}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296364", "http://doi.org/10.1109/ICIP.2017.8296364"]}, {"id": "73a70595af6500505b46de91afbe108ce2fc2aee", "title": "Privileged Information-Based Conditional Structured Output Regression Forest for Facial Point Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005459"]}, {"id": "eb9867f5efc98d3203ce1037f9a8814b0d15d0aa", "title": "Periocular recognition based on Gabor and Parzen PNN", "addresses": [{"name": "Centre of Development of Advanced Computing, Mumbai, India", "source_name": "Centre of Development of Advanced Computing (CDAC) Mumbai, 400049, India", "street_adddress": "9, 10th Gulmohar Cross Rd, Gulmohar Road, JVPD Scheme, Juhu, Mumbai, Maharashtra 400049, India", "lat": "19.11471490", "lng": "72.83383690", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026008", "http://doi.org/10.1109/ICIP.2014.7026008"]}, {"id": "ad0863aa16301d7c6617f8b965a64cf58f38594f", "title": "Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra and Australian National University", "source_name": "University of Canberra and Australian National University, Canberra, Australia", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2829994"]}, {"id": "a611c978e05d7feab01fb8a37737996ad6e88bd9", "title": "Benchmarking 3D Pose Estimation for Face Recognition", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cbl.uh.edu/pub_files/3_Benchmarking3DPoseEstimationForFaceRecognition_ICPR2014_v8.pdf", "http://cbl.uh.edu/~pengfei/pubs/Benchmarking3DPoseEstimationForFaceRecognition_ICPR2014_v8.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976753", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2014.42", "http://doi.org/10.1109/ICPR.2014.42"]}, {"id": "8c50869b745fc094a4fb1b27861934c3c14d7199", "title": "A study of the effect of subject motion to pulse rate estimation", "addresses": [{"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}, {"name": "Palo Alto Research Center, Webster, NY", "source_name": "Palo Alto Research Center, Webster, NY", "street_adddress": "3333 Coyote Hill Rd, Palo Alto, CA 94304, USA", "lat": "37.40245300", "lng": "-122.14796300", "type": "company", "country": "United States"}, {"name": "Xerox Research Center, India", "source_name": "Xerox Research Center India, India", "street_adddress": "2660 Speakman Dr, Mississauga, ON L5K 2L1, Canada", "lat": "43.51269930", "lng": "-79.66624270", "type": "company", "country": "Canada"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7591826", "http://doi.org/10.1109/EMBC.2016.7591826", "https://www.ncbi.nlm.nih.gov/pubmed/28227611", "https://www.wikidata.org/entity/Q48568646"]}, {"id": "ca44a838da4187617dca9f6249d8c4b604661ec7", "title": "Multi-pose face hallucination via neighbor embedding for facial components", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.icst.pku.edu.cn/course/icb/v2/Pub%20Files/2015/lyh_icip15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351564", "http://doi.org/10.1109/ICIP.2015.7351564", "https://doi.org/10.1109/ICIP.2015.7351564"]}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "addresses": [{"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "64bb909c4103d2078392377ef8e4205346437c61", "title": "A Study of the Dynamic Relation between Physiological Changes and Spontaneous Expressions", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/26823/3/Study+of+the+Dynamic+Relation_.pdf"], "doi": ["https://doi.org/10.1038/s41598-017-07122-x", "https://www.ncbi.nlm.nih.gov/pubmed/28765637"]}, {"id": "b1534888673e6119f324082246016d28eba249aa", "title": "Saliency-based navigation in omnidirectional image", "addresses": [{"name": "INRIA Rennes-Bretagne-Atlantique", "source_name": "INRIA Rennes-Bretagne-Atlantique", "street_adddress": "Campus de Beaulieu, 263 Avenue G\u00e9n\u00e9ral Leclerc, 35042 Rennes, France", "lat": "48.11638230", "lng": "-1.63970970", "type": "edu", "country": "France"}, {"name": "University of Rennes", "source_name": "IRISA, University of Rennes 1", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "France"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122229"]}, {"id": "4d3805141f21e88b1d32cf39e65e42ccf4287504", "title": "Compressing and Accelerating Neural Network for Facial Point Localization", "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": [], "doi": ["http://doi.org/10.1007/s12559-017-9506-0"]}, {"id": "ab703224e3d6718bc28f7b9987eb6a5e5cce3b01", "title": "Unseen head pose prediction using dense multivariate label distribution", "addresses": [{"name": "Jiaxing University", "source_name": "College of Mathematics and Information Engineering, Jiaxing University, Jiaxing, China", "street_adddress": "Nanhu, Jiaxing, China, 314000", "lat": "30.74769200", "lng": "120.73322300", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1631/FITEE.1500235"]}, {"id": "116763250838c0c37dace540ff38d33bf4864960", "title": "Robust Classification of Head Pose from Low Resolution Images under Various Lighting Condition", "addresses": [{"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1167/63250838c0c37dace540ff38d33bf4864960.pdf"], "doi": []}, {"id": "1fd7a17a6c630a122c1a3d1c0668d14c0c375de0", "title": "Facial landmark localization: Past, present and future", "addresses": [{"name": "Moulay Ismail University", "source_name": "Moulay Ismail University", "street_adddress": "Marjane 2, BP: 298\u060c Meknes 50050, Morocco", "lat": "33.85611100", "lng": "-5.57439100", "type": "edu", "country": "Morocco"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805097", "http://doi.org/10.1109/CIST.2016.7805097"]}, {"id": "081189493ca339ca49b1913a12122af8bb431984", "title": "Supplemental Material for Photorealistic Facial Texture Inference Using Deep Neural Networks", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0811/89493ca339ca49b1913a12122af8bb431984.pdf"], "doi": []}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"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"], "doi": []}, {"id": "ce56be1acffda599dec6cc2af2b35600488846c9", "title": "Inferring Sentiment from Web Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "IBM Almaden Research Center", "source_name": "IBM Almaden Research Center", "street_adddress": "IBM Almaden Research Center, San Jos\u00e9, Santa Clara County, California, USA", "lat": "37.21095605", "lng": "-121.80748668", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce56/be1acffda599dec6cc2af2b35600488846c9.pdf"], "doi": []}, {"id": "77fbbf0c5729f97fcdbfdc507deee3d388cd4889", "title": "Pose-Robust 3D Facial Landmark Estimation from a Single 2D Image", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ec7f/c7bf79204166f78c27e870b620205751fff6.pdf"], "doi": []}, {"id": "6b0a2f9ab9b134d66a325525ea5d90ad546fe2b7", "title": "A hybrid vision system for detecting use of mobile phones while driving", "addresses": [{"name": "Santa Catarina State University", "source_name": "UDESC - Santa Catarina State University, DCC - CCT, Joinville, 89219-710, Brazil", "street_adddress": "Campus Universit\u00e1rio Prof. Avelino Marcante - R. Paulo Malschitzki, 200 - Zona Industrial Norte, Joinville - SC, 89219-710, Brazil", "lat": "-26.25219050", "lng": "-48.85417040", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Santa Catarina", "source_name": "UFSC - Federal University of Santa Catarina / INE - CTC, Florian\u00f3polis, 88040-900, Brazil", "street_adddress": "R. Eng. Agron\u00f4mico Andrei Cristian Ferreira, s/n - Trindade, Florian\u00f3polis - SC, 88040-900, Brazil", "lat": "-27.60070340", "lng": "-48.51917750", "type": "edu", "country": "Brazil"}, {"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727803", "http://doi.org/10.1109/IJCNN.2016.7727803"]}, {"id": "32ecbbd76fdce249f9109594eee2d52a1cafdfc7", "title": "Object Specific Deep Learning Feature and Its Application to Face Detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01366.pdf"], "doi": []}, {"id": "3463f12ad434d256cd5f94c1c1bfd2dd6df36947", "title": "Facial Expression Recognition with Fusion Features Extracted from Salient Facial Areas", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3463/f12ad434d256cd5f94c1c1bfd2dd6df36947.pdf"], "doi": []}, {"id": "7f415aee0137acab659c664eb1dff15f7b726bdd", "title": "Scene Text Recognition Using Structure-Guided Character Detection and Linguistic Knowledge", "addresses": [{"name": "CASIA, Beijing, China", "source_name": "State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/3745/1/TCSVT-scene%20text%20recognition%20using%20structure-guided%20character%20detection%20and%20linguistic%20knowledge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727574", "http://doi.org/10.1109/TCSVT.2014.2302522"]}, {"id": "3cc2a2eaaacbf96c6b9abc1cf91bfefabf6fcfdd", "title": "A High-Efficiency and High-Accuracy Fully Automatic Collaborative Face Annotation System for Distributed Online Social Networks", "addresses": [{"name": "National Taipei University of Technology", "source_name": "National Taipei University of Technology", "street_adddress": "NTUT, 1, \u5fe0\u5b5d\u6771\u8def\u4e09\u6bb5, \u6c11\u8f1d\u91cc, \u6771\u5340\u5546\u5708, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10608, \u81fa\u7063", "lat": "25.04306355", "lng": "121.53468772", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6800059", "http://doi.org/10.1109/TCSVT.2014.2317887"]}, {"id": "1ef4815f41fa3a9217a8a8af12cc385f6ed137e1", "title": "Rendering of Eyes for Eye-Shape Registration and Gaze Estimation", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.05916.pdf"], "doi": []}, {"id": "28f7d3d894705a92cac9b08d22701fadb6472676", "title": "Non-rigid image registration for visible color and thermal IR face", "addresses": [{"name": "Yunnan Normal University Kunming", "source_name": "Yunnan Normal University Kunming, 650092, China", "street_adddress": "298 Yi'eryi St, Wuhua Qu, Kunming Shi, Yunnan Sheng, China, 650031", "lat": "25.05512500", "lng": "102.69688800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846571"]}, {"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"], "doi": []}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "a8035ca71af8cc68b3e0ac9190a89fed50c92332", "title": "IIIT-CFW: A Benchmark Database of Cartoon Faces in the Wild", "addresses": [{"name": "Indian Institute of Technology Sri City", "source_name": "IIIT Chittoor, Sri City, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}, {"name": "CVIT, KCIS, IIIT Hyderabad, India", "source_name": "CVIT, KCIS, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a803/5ca71af8cc68b3e0ac9190a89fed50c92332.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "68021c333559ab95ca10e0dbbcc8a4840c31e157", "title": "A framework for joint facial expression recognition and point localization", "addresses": [{"name": "Otto-von-Guericke-University Magdeburg", "source_name": "Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany", "street_adddress": "Universit\u00e4tspl. 2, 39106 Magdeburg, Germany", "lat": "52.14020530", "lng": "11.64419910", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900281", "http://doi.org/10.1109/ICPR.2016.7900281"]}, {"id": "ef4ecb76413a05c96eac4c743d2c2a3886f2ae07", "title": "Modeling the importance of faces in natural images", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ef4e/cb76413a05c96eac4c743d2c2a3886f2ae07.pdf"], "doi": []}, {"id": "055de0519da7fdf27add848e691087e0af166637", "title": "Joint Unsupervised Face Alignment and Behaviour Analysis", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25814/01/Pantic_Joint_Unsupervised_Face_Alignment.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/eccv_2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8692/86920167.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10593-2_12"]}, {"id": "ecd67d0e8eb407b1edb07511578a68995efdfea8", "title": "Automatic Multitask Learning System for Abnormal Network Traffic Detection", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ecd6/7d0e8eb407b1edb07511578a68995efdfea8.pdf"], "doi": []}, {"id": "171ca25bc2cdfc79cad63933bcdd420d35a541ab", "title": "Calibration-Free Gaze Estimation Using Human Gaze Patterns", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Alnajar_Calibration-Free_Gaze_Estimation_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751126", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.24", "http://doi.org/10.1109/ICCV.2013.24"]}, {"id": "221252be5d5be3b3e53b3bbbe7a9930d9d8cad69", "title": "Do We Need More Training Data or Better Models for Object Detection?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2212/52be5d5be3b3e53b3bbbe7a9930d9d8cad69.pdf"], "doi": []}, {"id": "7df4f96138a4e23492ea96cf921794fc5287ba72", "title": "A Jointly Learned Deep Architecture for Facial Attribute Analysis and Face Detection in the Wild", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.08705.pdf"], "doi": []}, {"id": "3f957142ef66f2921e7c8c7eadc8e548dccc1327", "title": "Merging SVMs with Linear Discriminant Analysis: A Combined Model", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25817/01/Pantic_Merging_SVMs_with_Linear_Discriminant_Analysis.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/combined_model_lda_&_svms.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Nikitidis_Merging_SVMs_with_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909536", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.140", "http://doi.org/10.1109/CVPR.2014.140"]}, {"id": "d91fd82332a0db1bb4a8ac563f406098cfe9c4bb", "title": "Feedback-based social media filtering tool for improved situational awareness", "addresses": [{"name": "MIT Lincoln Laboratory", "source_name": "MIT Lincoln Laboratory", "street_adddress": "244 Wood St, Lexington, MA 02421, USA", "lat": "42.45895890", "lng": "-71.26749520", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://www.ll.mit.edu/sites/default/files/publication/doc/2018-05/2016_05_10_ThorntonJ_HST_FP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7568888"]}, {"id": "7f2a4cd506fe84dee26c0fb41848cb219305173f", "title": "SERSC Face Detection and Pose Estimation Based on Evaluating Facial Feature Selection", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}, {"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"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7f2a/4cd506fe84dee26c0fb41848cb219305173f.pdf"], "doi": []}, {"id": "4014d74e8f5ea4d76c2c1add81d0c88d6e342478", "title": "Group emotion recognition in the wild by combining deep neural networks for facial expression classification and scene-context analysis", "addresses": [{"name": "University of Newcastle, Australia", "source_name": "Callaghan, NSW 2308, Australia", "street_adddress": "Callaghan, Newcastle-Maitland, Newcastle, NSW, 2308, Australia", "lat": "-32.88923520", "lng": "151.69989830", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3143010"]}, {"id": "e4abc40f79f86dbc06f5af1df314c67681dedc51", "title": "Head Detection with Depth Images in the Wild", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.06786.pdf"], "doi": []}, {"id": "56ae6d94fc6097ec4ca861f0daa87941d1c10b70", "title": "Distance Estimation of an Unknown Person from a Portrait", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/49084/13/FaceDistanceEstimation_RONCHI.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8689/86890313.pdf", "http://vision.caltech.edu/~mronchi/papers/ECCV14_FaceDistancePortrait_PAPER.pdf", "http://vision.caltech.edu/~xpburgos/papers/ECCV14%20Burgos-Artizzu.pdf", "http://www.vision.caltech.edu/~mronchi/papers/ECCV14_FaceDistancePortrait_PAPER.pdf", "http://www.vision.caltech.edu/~xpburgos/papers/ECCV14%20Burgos-Artizzu.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10590-1_21"]}, {"id": "5ae970294aaba5e0225122552c019eb56f20af74", "title": "Establishing Dense Correspondence of High Resolution 3 D Faces via M\u00f6bius Transformations", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5ae9/70294aaba5e0225122552c019eb56f20af74.pdf"], "doi": []}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"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": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"], "doi": []}, {"id": "6341274aca0c2977c3e1575378f4f2126aa9b050", "title": "A multi-scale cascade fully convolutional network face detector", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03536.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "d9b4b49378fcd77dcd5e755975b99ed4c7962f17", "title": "Stroke Detector and Structure Based Models for Character Recognition: A Comparative Study", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/10026/1/TIP-Stroke%20Detector%20and%20Strucsture%20based%20models%20for%20character%20recognition%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7222434", "http://doi.org/10.1109/TIP.2015.2473105", "https://www.ncbi.nlm.nih.gov/pubmed/26316131", "https://www.wikidata.org/entity/Q38404968"]}, {"id": "bb34bcf28021a658ce89d65d229df76d4dc620c6", "title": "Computer Models for Facial Beauty Analysis", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-32598-9", "https://www.wikidata.org/entity/Q57808850"]}, {"id": "8dd162c9419d29564e9777dd523382a20c683d89", "title": "Interlinked Convolutional Neural Networks for Face Parsing", "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": "2015", "pdf": ["https://arxiv.org/pdf/1806.02479.pdf"], "doi": []}, {"id": "813c93c54c19fd3ef850728e6d4a31d279d26021", "title": "Emotion identification by facial landmarks dynamics analysis", "addresses": [{"name": "University of Mons", "source_name": "Faculty of Engineering, University of Mons, Belgium", "street_adddress": "Place du Parc 20, 7000 Mons, Belgium", "lat": "50.45877140", "lng": "3.95216520", "type": "edu", "country": "Belgium"}, {"name": "University \u201cPolitehnica\u201d of Bucharest", "source_name": "LAPI & Natural Computing Labs, University \u201cPolitehnica\u201d of Bucharest, 061071, Romania", "street_adddress": "Bucharest, Romania", "lat": "44.42676740", "lng": "26.10253840", "type": "edu", "country": "Romania"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7312688", "http://doi.org/10.1109/ICCP.2015.7312688"]}, {"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "d7d9c1fa77f3a3b3c2eedbeb02e8e7e49c955a2f", "title": "Automating Image Analysis by Annotating Landmarks with Deep Neural Networks", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00583.pdf"], "doi": []}, {"id": "3333f2f667c4fa7310a7afbe9bd012bc818e5660", "title": "A fast Cascade Shape Regression Method based on CNN-based Initialization", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546058", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546058", "http://doi.org/10.1109/ICPR.2018.8546058"]}, {"id": "4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7", "title": "Efficient likelihood Bayesian constrained local model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09956.pdf"], "doi": []}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "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": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "4b02387c2db968a70b69d98da3c443f139099e91", "title": "Detecting facial landmarks in the video based on a hybrid framework", "addresses": [{"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06441.pdf"], "doi": []}, {"id": "b5f79df712ad535d88ae784a617a30c02e0551ca", "title": "Locating Facial Landmarks Using Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://staff.ustc.edu.cn/~juyong/Papers/FaceAlignment-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7273853", "http://doi.org/10.1109/LSP.2015.2480758"]}, {"id": "55aafdef9d9798611ade1a387d1e4689f2975e51", "title": "Hallucinating Compressed Face Images", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv17_face.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1044-4", "https://doi.org/10.1007/s11263-017-1044-4"]}, {"id": "4eeccbbb98de4f2e992600482fd6b881ace014bb", "title": "Multi-pose Facial Expression Recognition Using Transformed Dirichlet Process", "addresses": [{"name": "Jiangsu University", "source_name": "Jiangsu University", "street_adddress": "\u6c5f\u82cf\u5927\u5b66, 301, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212013, \u4e2d\u56fd", "lat": "32.20302965", "lng": "119.50968362", "type": "edu", "country": "China"}, {"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967240"]}, {"id": "e82a0976db908e6f074b926f58223ac685533c65", "title": "Audiovisual synchrony assessment for replay attack detection in talking face biometrics", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Telecom Division, Centre de D\u00e9veloppement des Technologies Avanc\u00e9es, Algiers, Algeria", "source_name": "Telecom Division, Centre de D\u00e9veloppement des Technologies Avanc\u00e9es, Algiers, Algeria", "street_adddress": "CDTA Cit\u00e9, 20 Ao\u00fbt 1956, Baba Hassen\u060c 16081, Algeria", "lat": "36.68948700", "lng": "2.98187700", "type": "edu", "country": "Algeria"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2848-2"]}, {"id": "70a69569ba61f3585cd90c70ca5832e838fa1584", "title": "Friendly Faces: Weakly Supervised Character Identification", "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"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/70a6/9569ba61f3585cd90c70ca5832e838fa1584.pdf"], "doi": []}, {"id": "e73f2839fc232c03e9f027c78bc419ee15810fe8", "title": "Flexible 3D neighborhood cascade deformable part models for object detection", "addresses": [{"name": "University of Science, Vietnam", "source_name": "University of Science, Vietnam", "street_adddress": "227 \u0110\u01b0\u1eddng Nguy\u1ec5n V\u0103n C\u1eeb, Ph\u01b0\u1eddng 4, Qu\u1eadn 5, H\u1ed3 Ch\u00ed Minh, Vietnam", "lat": "10.76291300", "lng": "106.68217170", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296413", "http://doi.org/10.1109/ICIP.2017.8296413"]}, {"id": "c5d13e42071813a0a9dd809d54268712eba7883f", "title": "Face recognition robust to head pose changes based on the RGB-D sensor", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.csis.pace.edu/~ctappert/dps/2013BTAS/Papers/Paper%2016/PID2891229.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6712718", "http://doi.org/10.1109/BTAS.2013.6712718"]}, {"id": "d6791b98353aa113d79f6fb96335aa6c7ea3b759", "title": "Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7839179", "http://doi.org/10.1109/TNNLS.2017.2648122", "https://www.ncbi.nlm.nih.gov/pubmed/28166506", "https://www.wikidata.org/entity/Q50457237"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"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"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "e569f4bd41895028c4c009e5b46b935056188e91", "title": "FISHER VECTOR FACES IN THE WILD 3 Facial landmark detection Aligned and cropped face Dense SIFT , GMM , and FV Discriminative dim", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e569/f4bd41895028c4c009e5b46b935056188e91.pdf"], "doi": []}, {"id": "b3067deb3110e3a7566c032ac0c1e1608668ef3d", "title": "Probabilistic graphical detector fusion for localization of faces and facial parts", "addresses": [{"name": "University of Liverpool", "source_name": "University of Liverpool", "street_adddress": "Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK", "lat": "53.40617900", "lng": "-2.96670819", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6954708"]}, {"id": "b51d11fa400d66b9f9d903a60c4ebe03fd77c8f2", "title": "Proposal and implementation of a novel scheme for image and emotion recognition using Hadoop", "addresses": [{"name": "Amity University Uttar Pradesh", "source_name": "Amity University Uttar Pradesh", "street_adddress": "Amity University, Noida, Greater Noida Expressway, Noida Special Economic Zone, Bakhtawarpur, Ghaziabad, Uttar Pradesh, 201304, India", "lat": "28.54322285", "lng": "77.33274830", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8358588"]}, {"id": "3fb26f3abcf0d287243646426cd5ddeee33624d4", "title": "Joint Training of Cascaded CNN for 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": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Qin_Joint_Training_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Qin_Joint_Training_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780745", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.376", "http://doi.org/10.1109/CVPR.2016.376"]}, {"id": "3505c9b0a9631539e34663310aefe9b05ac02727", "title": "A Joint Discriminative Generative Model for Deformable Model Construction and Classification", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/pid4666647.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961732", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.24", "http://doi.org/10.1109/FG.2017.24"]}, {"id": "14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d", "title": "Correlation filter cascade for facial landmark localization", "addresses": [{"name": "Istituto Italiano di Tecnologia, Genova, Italy", "source_name": "Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy", "street_adddress": "Genoa, Metropolitan City of Genoa, Italy", "lat": "44.40564990", "lng": "8.94625600", "type": "edu", "country": "Italy"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://www.hamedkiani.com/uploads/5/1/8/8/51882963/wacv_presentation.pdf", "https://www.comp.nus.edu.sg/~tsim/documents/cascade-cf-landmarks.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477554", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477554", "http://doi.org/10.1109/WACV.2016.7477554"]}, {"id": "04f56dc5abee683b1e00cbb493d031d303c815fd", "title": "Scene character recognition using PCANet", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "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": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808557"]}, {"id": "bd66dc891270d858de3adf97d42ed714860ae94d", "title": "Non-semantic facial parts for face verification", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486598", "http://doi.org/10.1109/ACPR.2015.7486598"]}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "84ae55603bffda40c225fe93029d39f04793e01f", "title": "ICB-RW 2016: International challenge on biometric recognition in the wild", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/ICB16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7550066", "http://doi.org/10.1109/ICB.2016.7550066"]}, {"id": "c872d6310f2079db0cee0e69cc96da1470055225", "title": "Heterogeneous Multi-task Learning on Non-overlapping Datasets for Facial Landmark Detection", "addresses": [{"name": "Information Technology R&D Center, Mitsubishi Electric Corporation, Kamakura, Japan", "source_name": "Information Technology R&D Center, Mitsubishi Electric Corporation, Kamakura, Japan", "street_adddress": "Kamakura, Kanagawa Prefecture, Japan", "lat": "35.31922540", "lng": "139.54668680", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46675-0_68"]}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "a094e52771baabe4ab37ef7853f9a4f534227457", "title": "Estimation of Driver Head Yaw Angle Using a Generic Geometric Model", "addresses": [{"name": "Amrita Vishwa Vidyapeetham, India", "source_name": "Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India", "street_adddress": "Amritapuri, Vallikavu, Kerala 690546, India", "lat": "9.09368520", "lng": "76.49158540", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7464887", "http://doi.org/10.1109/TITS.2016.2551298"]}, {"id": "59b83666c1031c3f509f063b9963c7ad9781ca23", "title": "Hierarchical Committee of Deep CNNs with Exponentially-Weighted Decision Fusion for Static Facial Expression Recognition", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830590"]}, {"id": "90c4f15f1203a3a8a5bf307f8641ba54172ead30", "title": "A 2D Morphable Model of Craniofacial Profile and Its Application to Craniosynostosis", "addresses": [{"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/90c4/f15f1203a3a8a5bf307f8641ba54172ead30.pdf"], "doi": []}, {"id": "f339aeb5911229c6e2a5835ab6f32080e137781c", "title": "Revisiting a single-stage method for face detection", "addresses": [{"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01559.pdf"], "doi": []}, {"id": "9a4c45e5c6e4f616771a7325629d167a38508691", "title": "A facial features detector integrating holistic facial information and part-based model", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}, {"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Mostafa_A_Facial_Features_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301324", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301324", "http://doi.org/10.1109/CVPRW.2015.7301324"]}, {"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": [], "doi": ["http://dl.acm.org/citation.cfm?id=3278002"]}, {"id": "9f1a854d574d0bd14786c41247db272be6062581", "title": "Find Who to Look at: Turning From Action to Saliency", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8360155", "http://doi.org/10.1109/TIP.2018.2837106", "https://doi.org/10.1109/TIP.2018.2837106", "https://www.ncbi.nlm.nih.gov/pubmed/29993577"]}, {"id": "0ea7b7fff090c707684fd4dc13e0a8f39b300a97", "title": "Integrated Face Analytics Networks through Cross-Dataset Hybrid Training", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06055.pdf"], "doi": []}, {"id": "fb0f5e06048c0274c2a4056e353fa31f5790e381", "title": "2.5D face landmarking via scale-invariant feature extraction and centroid localization", "addresses": [{"name": "Universiti Malaysia Sarawak, Malaysia", "source_name": "Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Malaysia", "street_adddress": "Universiti Malaysia Sarawak, Sarawak, 94300 Kota Samarahan, Malaysia", "lat": "1.46815960", "lng": "110.42902060", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7783244"]}, {"id": "0ed96cc68b1b61e9eb4096f67d3dcab9169148b9", "title": "Emotion Recognition in Real-world Conditions with Acoustic and Visual Features", "addresses": [{"name": "Ulm University", "source_name": "Ulm University", "street_adddress": "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "lat": "48.38044335", "lng": "10.01010115", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666279"]}, {"id": "c94b3a05f6f41d015d524169972ae8fd52871b67", "title": "The Fastest Deformable Part Model for Object 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"}], "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/Fastest_DPM.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yan_The_Fastest_Deformable_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909716", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.320", "http://doi.org/10.1109/CVPR.2014.320"]}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "9367513f330964b288a4a99ce8265b2960c4cf4e", "title": "A new theoretical approach to improving face recognition in disorders of central vision: face caricaturing.", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5553/5ccf28a08439d829dee4c41c32780dcac24a.pdf"], "doi": []}, {"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "title": "A Semi-automatic Methodology for Facial Landmark Annotation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595977"]}, {"id": "86824ba374daff17ff2235484055b3bb9c464555", "title": "S-CNN: Subcategory-Aware Convolutional Networks for Object Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051100", "http://doi.org/10.1109/TPAMI.2017.2756936", "https://www.ncbi.nlm.nih.gov/pubmed/28961103", "https://www.wikidata.org/entity/Q47667340"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "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": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "fd96432675911a702b8a4ce857b7c8619498bf9f", "title": "Improved Face Detection and Alignment using Cascade Deep Convolutional Network", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09364.pdf"], "doi": []}, {"id": "50236de1791a009dc77d7266c412469a22437b4b", "title": "Micro-expression recognition: an updated review of current trends, challenges and solutions", "addresses": [{"name": "Tunku Abdul Rahman University College", "source_name": "Faculty of Engineering and Technology, Tunku Abdul Rahman University College, Wilayah Persekutuan Kuala Lumpur, Malaysia", "street_adddress": "Kampus Utama, Jalan Genting Kelang, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia", "lat": "3.21622480", "lng": "101.72896110", "type": "edu", "country": "Malaysia"}, {"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1607-6"]}, {"id": "6813208b94ffa1052760d318169307d1d1c2438e", "title": "Multiple Models Fusion for Emotion Recognition in the Wild", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830582"]}, {"id": "4ae291b070ad7940b3c9d3cb10e8c05955c9e269", "title": "Automatic Detection of Naturalistic Hand-over-Face Gesture Descriptors", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2663258"]}, {"id": "0c05f60998628884a9ac60116453f1a91bcd9dda", "title": "Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data Management", "addresses": [{"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05377.pdf"], "doi": []}, {"id": "14bca107bb25c4dce89210049bf39ecd55f18568", "title": "Emotion recognition from facial images with arbitrary views", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/14bc/a107bb25c4dce89210049bf39ecd55f18568.pdf"], "doi": []}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "0acf23485ded5cb9cd249d1e4972119239227ddb", "title": "Dual coordinate solvers for large-scale structural SVMs", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1312.1743.pdf"], "doi": []}, {"id": "5cfbeae360398de9e20e4165485837bd42b93217", "title": "Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach", "addresses": [{"name": "Firat University", "source_name": "Firat University", "street_adddress": "Erzincan \u00dcniversitesi Hukuk Fak\u00fcltesi Dekanl\u0131\u011f\u0131, Sivas-Erzincan yolu, \u00dc\u00e7konak, Erzincan, Erzincan merkez, Erzincan, Do\u011fu Anadolu B\u00f6lgesi, 24000, T\u00fcrkiye", "lat": "39.72750370", "lng": "39.47127034", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": []}, {"id": "dad7b8be074d7ea6c3f970bd18884d496cbb0f91", "title": "Super-Sparse Regression for Fast Age Estimation from Faces at Test Time", "addresses": [{"name": "University of Cagliari", "source_name": "University of Cagliari, Italy", "street_adddress": "Via Universit\u00e0, 40, 09124 Cagliari CA, Italy", "lat": "39.21736570", "lng": "9.11492180", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/dad7/b8be074d7ea6c3f970bd18884d496cbb0f91.pdf"], "doi": []}, {"id": "13fd25a18ab3faebcd6a4ab95f4cc814fcda337a", "title": "Face and mouth localization of viseme", "addresses": [{"name": "Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia", "source_name": "Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia", "street_adddress": "Jalan Lembah Kesang 1/1-2, Kampung Seri Mendapat, 77300 Merlimau, Melaka, Malaysia", "lat": "2.22139640", "lng": "102.45311550", "type": "edu", "country": "Malaysia"}, {"name": "Universiti Teknologi MARA, Malaysia", "source_name": "Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia", "street_adddress": "Jalan Ilmu 1/1, 40450 Shah Alam, Selangor, Malaysia", "lat": "3.06961690", "lng": "101.50376370", "type": "edu", "country": "Malaysia"}, {"name": "Universiti Teknologi MARA, Melaka, Malaysia", "source_name": "Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia", "street_adddress": "Jalan Lembah Kesang 1/1-2, Kampung Seri Mendapat, 77300 Merlimau, Melaka, Malaysia", "lat": "2.22139640", "lng": "102.45311550", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8067385"]}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"], "doi": []}, {"id": "7643861bb492bf303b25d0306462f8fb7dc29878", "title": "Speeding up 2D-warping for pose-invariant face recognition", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163136", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163136", "http://doi.org/10.1109/FG.2015.7163136"]}, {"id": "36486944b4feeb88c0499fecd253c5a53034a23f", "title": "Deep feature selection and projection for cross-age face retrieval", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301986", "http://doi.org/10.1109/CISP-BMEI.2017.8301986"]}, {"id": "b53485dbdd2dc5e4f3c7cff26bd8707964bb0503", "title": "Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting", "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://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1012-z", "https://doi.org/10.1007/s11263-017-1012-z"]}, {"id": "239958d6778643101ab631ec354ea1bc4d33e7e0", "title": "Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods", "addresses": [{"name": "University of Plymouth", "source_name": "University of Plymouth", "street_adddress": "Charles Seale-Hayne Library, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37525010", "lng": "-4.13927692", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://mpatacchiola.github.io/doc/Head%20Pose%20Estimation%20in%20the%20Wild%20using%20Convolutional%20Neural%20Networks%20and%20Adaptive%20Gradient%20Methods%20-%20Patacchiola%20and%20Cangelosi%20-%202017.pdf", "https://pearl.plymouth.ac.uk/bitstream/handle/10026.1/9497/Patacchiola-Cangelosi-PR-postprint.pdf?isAllowed=y&sequence=3"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.009", "https://doi.org/10.1016/j.patcog.2017.06.009"]}, {"id": "bb3698df3b4f40c0b7cc523d26ffb8c5276d5a1c", "title": "An improved approach for face detection using superpixels, moment-based matching, and isosceles triangle matching", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7868528", "http://doi.org/10.1109/ICDSP.2016.7868528"]}, {"id": "22a10d8d2a2cb9055557a3b335d6706100890afb", "title": "Comparison of matrix decomposition and SIFT descriptor based methods for face alignment", "addresses": [{"name": "Eski\u015fehir Osmangazi University, Turkey", "source_name": "Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, T\u00fcrkiye", "street_adddress": "Eski\u015fehir Osmangazi \u00dcniversitesi, M\u00fchendislik Fak\u00fcltesi, 26480 Odunpazar\u0131/Eski\u015fehir, Turkey", "lat": "39.74871200", "lng": "30.47595620", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7496121", "http://doi.org/10.1109/SIU.2016.7496121"]}, {"id": "f201baf618574108bcee50e9a8b65f5174d832ee", "title": "Viewpoint-Consistent 3D Face Alignment", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"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": "Snapchat", "source_name": "Snapchat Research, Venice, CA90291", "street_adddress": "606 S Venice Blvd, Venice, CA 90291, USA", "lat": "33.98909690", "lng": "-118.46169140", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031057", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2750687", "http://doi.org/10.1109/TPAMI.2017.2750687", "https://www.ncbi.nlm.nih.gov/pubmed/28910758"]}, {"id": "ebc2a3e8a510c625353637e8e8f07bd34410228f", "title": "Dual Sparse Constrained Cascade Regression for Robust Face Alignment", "addresses": [{"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332780", "http://doi.org/10.1109/TIP.2015.2502485", "https://www.ncbi.nlm.nih.gov/pubmed/26599969", "https://www.wikidata.org/entity/Q40282695"]}, {"id": "a1e07c31184d3728e009d4d1bebe21bf9fe95c8e", "title": "On looking at faces in an automobile: Issues, algorithms and evaluation on naturalistic driving dataset", "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": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediICPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900056", "http://doi.org/10.1109/ICPR.2016.7900056", "https://doi.org/10.1109/ICPR.2016.7900056"]}, {"id": "68f09c4615291a88a6cb0268e767ca9e085844fd", "title": "Uniface: A Unified Network for Face Detection and Recognition", "addresses": [{"name": "China Mobile Suzhou Software Technology Co., Ltd, Suzhou, 215000, China", "source_name": "China Mobile Suzhou Software Technology Co., Ltd, Suzhou, 215000, China", "street_adddress": "Gusu, Suzhou, Jiangsu, China, 215000", "lat": "31.29856420", "lng": "120.58466150", "type": "company", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545051", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545051", "http://doi.org/10.1109/ICPR.2018.8545051"]}, {"id": "45e616093a92e5f1e61a7c6037d5f637aa8964af", "title": "Fine-grained evaluation on face detection in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163158"]}, {"id": "506c2fbfa9d16037d50d650547ad3366bb1e1cde", "title": "Convolutional Channel Features : Tailoring CNN to Diverse Tasks", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/506c/2fbfa9d16037d50d650547ad3366bb1e1cde.pdf"], "doi": []}, {"id": "bb83d5c7c17832d1eef14aa5d303d9dd65748956", "title": "Predicting student engagement in classrooms using facial behavioral cues", "addresses": [{"name": "IIIT Bangalore, India", "source_name": "IIIT Bangalore, India", "street_adddress": "26/C, Hosur Rd, Electronics City Phase 1, Electronic City, Bengaluru, Karnataka 560100, India", "lat": "12.84475120", "lng": "77.66323170", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3139514"]}, {"id": "6a38e4bb35673a73f041e34d3f2db7067482a9b5", "title": "Emotion Recognition in the Wild with Feature Fusion and Multiple Kernel Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666277"]}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"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://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "1389ba6c3ff34cdf452ede130c738f37dca7e8cb", "title": "A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection.", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01880.pdf"], "doi": []}, {"id": "4b3eaedac75ac419c2609e131ea9377ba8c3d4b8", "title": "Fast Newton active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25825/01/Pantic_Fast_Newton_Active_Appearance_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/kossaifi_tzimiro_pantic_icip_2014.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/kossaifi_tzimiro_pantic_icip_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025284", "http://doi.org/10.1109/ICIP.2014.7025284"]}, {"id": "ccf16bcf458e4d7a37643b8364594656287f5bfc", "title": "Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ccf1/6bcf458e4d7a37643b8364594656287f5bfc.pdf"], "doi": []}, {"id": "c34026ede413e806430b6e18151c5618e8f01fbb", "title": "Optimizing Energies for Pose-Invariant Face Recognition", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546095"]}, {"id": "e957d0673af7454dbf0a14813201b0e2570577e9", "title": "COATL - a learning architecture for online real-time detection and classification assistance for environmental data", "addresses": [{"name": "Bielefeld University", "source_name": "Bielefeld University", "street_adddress": "Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstra\u00dfe, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland", "lat": "52.02804210", "lng": "8.51148270", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899699", "http://doi.org/10.1109/ICPR.2016.7899699"]}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"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"], "doi": []}, {"id": "a00fdf49e5e0a73eb24345cb25a0bd1383a10021", "title": "Evaluation of face image quality metrics in person identification problem", "addresses": [{"name": "Yaroslavl State University", "source_name": "Yaroslavl State University", "street_adddress": "\u042f\u0440\u0413\u0423\u00a0\u0438\u043c.\u00a0\u0414\u0435\u043c\u0438\u0434\u043e\u0432\u0430 (\u042d\u043a\u043e\u043d\u043e\u043c\u0438\u0447\u0435\u0441\u043a\u0438\u0439\u00a0\u0444\u0430\u043a\u0443\u043b\u044c\u0442\u0435\u0442), 3, \u041a\u043e\u043c\u0441\u043e\u043c\u043e\u043b\u044c\u0441\u043a\u0430\u044f \u0443\u043b\u0438\u0446\u0430, \u041a\u0438\u0440\u043e\u0432\u0441\u043a\u0438\u0439 \u0440\u0430\u0439\u043e\u043d, \u042f\u0440\u043e\u0441\u043b\u0430\u0432\u043b\u044c, \u0433\u043e\u0440\u043e\u0434\u0441\u043a\u043e\u0439 \u043e\u043a\u0440\u0443\u0433 \u042f\u0440\u043e\u0441\u043b\u0430\u0432\u043b\u044c, \u042f\u0440\u043e\u0441\u043b\u0430\u0432\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c, \u0426\u0424\u041e, 150000, \u0420\u0424", "lat": "57.62521030", "lng": "39.88456560", "type": "edu", "country": "Russia"}], "year": "2016", "pdf": ["https://fruct.org/sites/default/files/files/conference19/3_EmergingT_II/2_Evaluation_Face_Image_Quality_Metrics.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7892186", "http://doi.org/10.23919/FRUCT.2016.7892186", "https://doi.org/10.23919/FRUCT.2016.7892186"]}, {"id": "2f489bd9bfb61a7d7165a2f05c03377a00072477", "title": "Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning", "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": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2f48/9bd9bfb61a7d7165a2f05c03377a00072477.pdf"], "doi": []}, {"id": "0573f3d2754df3a717368a6cbcd940e105d67f0b", "title": "Emotion recognition in the wild challenge 2016", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531739"]}, {"id": "771a6a80dd08212d83a4e976522e1ce108881401", "title": "An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820979", "http://doi.org/10.1109/IPTA.2016.7820979"]}, {"id": "82cd5a5fec8a27887a35f1ecec684ec55eefad73", "title": "Using sparse coding for landmark localization in facial expressions", "addresses": [{"name": "Dipartimento di Informatica, Universit\u00e0 di Milano, Via Comelico 39/40, 20135, Italy", "source_name": "Dipartimento di Informatica, Università di Milano, Via Comelico 39/40, 20135, Italy", "street_adddress": "Via Giovanni Celoria, 18, 20133 Milano MI, Italy", "lat": "45.47600270", "lng": "9.23188150", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.researchgate.net/profile/Giuseppe_Boccignone/publication/265793480_Using_Sparse_Coding_for_Landmark_Localization_in_Facial_Expressions/links/541bf80b0cf241a65a0ba53a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7018369", "http://doi.org/10.1109/EUVIP.2014.7018369"]}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"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": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "9bd35145c48ce172b80da80130ba310811a44051", "title": "Face Detection with End-to-End Integration of a ConvNet and a 3D Model", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.00850.pdf"], "doi": []}, {"id": "2ea247029ac1b8ded60023a369e8d259a8637bd2", "title": "Efficient face frontalization in unconstrained images", "addresses": [{"name": "CVIT, IIIT Hyderabad, India", "source_name": "CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "Visiting Faculty, CVIT, IIIT Hyderabad, India", "source_name": "Visiting Faculty, CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490057"]}, {"id": "aa5eeb1ab953411e915ea5e6298474dbebfa6fb6", "title": "An efficient scheme for face detection based on contours and feature skin recognition", "addresses": [{"name": "Minia University", "source_name": "Faculty of Science, Minia University, El-Minia, Egypt", "street_adddress": "EL MENIA Raod ARD SHALABY EL\u060c Menia Governorate, Egypt", "lat": "28.12292140", "lng": "30.73154390", "type": "edu", "country": "Egypt"}, {"name": "Sohag University", "source_name": "Faculty of Science, Sohag University, Egypt", "street_adddress": "\u0645\u062f\u064a\u0646\u0629 \u0646\u0627\u0635\u0631 \u2013 \u0634\u0627\u0631\u0639 \u062c\u0627\u0645\u0639\u0629 \u0633\u0648\u0647\u0627\u062c \u0633\u0648\u0647\u0627\u062c\u060c 82524, Egypt", "lat": "26.56389140", "lng": "31.70825060", "type": "edu", "country": "Egypt"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7393056"]}, {"id": "055cd8173536031e189628c879a2acad6cf2a5d0", "title": "Fast multi-view face alignment via multi-task auto-encoders", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272740", "http://doi.org/10.1109/BTAS.2017.8272740"]}, {"id": "7e00fb79576fe213853aeea39a6bc51df9fdca16", "title": "Online multi-face detection and tracking using detector confidence and structured SVMs", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://www.es.ele.tue.nl/~sander/publications/avss15.pdf", "http://www.ics.ele.tue.nl/~tbasten/papers/AVSS2015_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301767", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301767", "http://doi.org/10.1109/AVSS.2015.7301767"]}, {"id": "9326d1390e8601e2efc3c4032152844483038f3f", "title": "Landmark Based Facial Component Reconstruction for Recognition across Pose", "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": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W01/papers/Hsu_Landmark_Based_Facial_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909956", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.11", "http://doi.org/10.1109/CVPRW.2014.11"]}, {"id": "dae9d0a9b77366f0cd52e38847e47691ee97bc1f", "title": "Multimodal emotion recognition based on peak frame selection from video", "addresses": [{"name": "Bah\u00e7e\u015fehir University", "source_name": "Bahcesehir University", "street_adddress": "BAU Galata, 24, Kemeralt\u0131 Caddesi, M\u00fceyyedzade, Beyo\u011flu, \u0130stanbul, Marmara B\u00f6lgesi, 34425, T\u00fcrkiye", "lat": "41.02451875", "lng": "28.97697953", "type": "edu", "country": "Turkey"}, {"name": "INRS-EMT, Montreal, Canada", "source_name": "INRS-EMT, Montreal, Canada", "street_adddress": "rue, 800 Rue de la Gaucheti\u00e8re O, Montr\u00e9al, QC, Canada", "lat": "45.49952300", "lng": "-73.56576740", "type": "edu", "country": "Canada"}, {"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11760-015-0822-0"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "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": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "51d048b92f6680aca4a8adf07deb380c0916c808", "title": "State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "University of Erlangen-Nuremberg", "source_name": "Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Erlangen, Germany", "street_adddress": "6. Stock, Cauerstra\u00dfe 7, 91058 Erlangen, Germany", "lat": "49.57282740", "lng": "11.02863460", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51d0/48b92f6680aca4a8adf07deb380c0916c808.pdf"], "doi": []}, {"id": "83fd2d2d5ad6e4e153672c9b6d1a3785f754b60e", "title": "Quantifying naturalistic social gaze in fragile X syndrome using a novel eye tracking paradigm.", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://langcog.stanford.edu/papers_new/hall-2015-ajmg.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26079280", "http://doi.org/10.1002/ajmg.b.32331"]}, {"id": "f20ed84abcb1223f351a576ef10dfda9f277326b", "title": "Face recognition based on LBPH and regression of Local Binary features", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846668"]}, {"id": "37ce1d3a6415d6fc1760964e2a04174c24208173", "title": "Pose-Invariant 3D Face Alignment", "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": "2015", "pdf": ["https://arxiv.org/pdf/1506.03799.pdf"], "doi": []}, {"id": "e577484e5c3ecc6f073faf124468c8ae2f827a0f", "title": "Real-time face detection during the night", "addresses": [{"name": "China Jiliang University", "source_name": "College of Information Engineering China Jiliang University, HangZhou, China 310018", "street_adddress": "China, Zhejiang Sheng, Hangzhou Shi, Jianggan Qu, XiaSha, Xueyuan St, 258\u53f7\u4e0b\u6c99\u5f00\u53d1\u533a \u90ae\u653f\u7f16\u7801: 310018", "lat": "30.31876400", "lng": "120.36397700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8248358", "http://doi.org/10.1109/ICSAI.2017.8248358"]}, {"id": "62f0d8446adee6a5e8102053a63a61af07ac4098", "title": "Facial point detection using convolutional neural network transferred from a heterogeneous task", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.vision.cs.chubu.ac.jp/MPRG/C_group/C072_yamashita2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351298", "http://doi.org/10.1109/ICIP.2015.7351298"]}, {"id": "6a931e7b7475635f089dd33e8d9a2899ae963804", "title": "Unified convolutional neural network for direct facial keypoints detection", "addresses": [{"name": "Pusan National University", "source_name": "Pusan National University, Pusan, Korea", "street_adddress": "2 Busandaehak-ro 63beon-gil, Jangjeon-dong, Geumjeong-gu, Busan, South Korea", "lat": "35.23315760", "lng": "129.07951000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1561-3"]}, {"id": "97b86d486c836abbe8fb2cfd8810181593e2ab53", "title": "De-identification for privacy protection in multimedia content: A survey", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}, {"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": ["http://costic1206.uvigo.es/sites/default/files/Training_School/Presentations/Ribaric%20-%20De-identification%20for%20Privacy%20Protection%20-%20Part%20I%20&%20PartII.pdf", "http://researchprofiles.herts.ac.uk/portal/files/13112055/Accepted_Manuscript.pdf", "http://researchprofiles.herts.ac.uk/portal/files/8996537/IC1206_Action_Poster_2013.pdf", "http://rubioss.zemris.fer.hr/deppss/limassol2015.pdf", "https://bib.irb.hr/datoteka/823725.1-s2.0-S0923596516300856-main.pdf"], "doi": ["http://doi.org/10.1016/j.image.2016.05.020"]}, {"id": "3b64b8be33887e77e6def4c385985e43e2c15eea", "title": "Understanding Deep Representations Learned in Modeling Users Likes", "addresses": [{"name": "Institute of High Performance Computing, Singapore", "source_name": "Agency for Science, Technology and Research, Institute of High Performance Computing, Singapore", "street_adddress": "1 Fusionopolis Way, #16-16 Connexis, Singapore 138632", "lat": "1.29865730", "lng": "103.78751990", "type": "edu", "country": "Singapore"}, {"name": "SAP Innovation Center Network, Singapore", "source_name": "SAP Innovation Center Network, Singapore", "street_adddress": "30 Pasir Panjang Rd, Singapore 117440", "lat": "1.27486000", "lng": "103.79778700", "type": "company", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7484658", "http://doi.org/10.1109/TIP.2016.2576278", "https://www.ncbi.nlm.nih.gov/pubmed/27295666", "https://www.wikidata.org/entity/Q38391370"]}, {"id": "01e27b6d1af4c9c2f50e2908b5f3b2331ff24846", "title": "Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0996-8", "https://doi.org/10.1007/s11263-017-0996-8"]}, {"id": "48729e4de8aa478ee5eeeb08a72a446b0f5367d5", "title": "Compressed face hallucination", "addresses": [{"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": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_cfh.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025819", "http://doi.org/10.1109/ICIP.2014.7025819"]}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"], "doi": []}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "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/1611.00851.pdf"], "doi": []}, {"id": "2d294bde112b892068636f3a48300b3c033d98da", "title": "Deep Multi-Center Learning for Face Alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01558.pdf"], "doi": []}, {"id": "e42998bbebddeeb4b2bedf5da23fa5c4efc976fa", "title": "Generic Active Appearance Models Revisited", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e429/98bbebddeeb4b2bedf5da23fa5c4efc976fa.pdf"], "doi": []}, {"id": "f7824758800a7b1a386db5bd35f84c81454d017a", "title": "KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05085.pdf"], "doi": []}, {"id": "3b37ef260aa1cdb43fce5ce76fdb70b4cb0dcc6c", "title": "DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning", "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"}, {"name": "Rheinische-Friedrich-Wilhelms University", "source_name": "Rheinische-Friedrich-Wilhelms University", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07637.pdf"], "doi": []}, {"id": "243e9d490fe98d139003bb8dc95683b366866c57", "title": "Distinctive Parts for Relative attributes", "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": "2014", "pdf": ["https://pdfs.semanticscholar.org/243e/9d490fe98d139003bb8dc95683b366866c57.pdf"], "doi": []}, {"id": "cc31db984282bb70946f6881bab741aa841d3a7c", "title": "Learning Grimaces by Watching TV", "addresses": [{"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02255.pdf"], "doi": []}, {"id": "a0b1990dd2b4cd87e4fd60912cc1552c34792770", "title": "Deep Constrained Local Models for Facial Landmark 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://pdfs.semanticscholar.org/a0b1/990dd2b4cd87e4fd60912cc1552c34792770.pdf"], "doi": []}, {"id": "1b8541ec28564db66a08185510c8b300fa4dc793", "title": "Affine-Transformation Parameters Regression for Face Alignment", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7328260", "http://doi.org/10.1109/LSP.2015.2499778"]}, {"id": "b908edadad58c604a1e4b431f69ac8ded350589a", "title": "Deep Face Feature for Face Alignment", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02721.pdf"], "doi": []}, {"id": "9aade3d26996ce7ef6d657130464504b8d812534", "title": "Face Alignment With Deep Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7728148", "http://doi.org/10.1109/TNNLS.2016.2618340", "https://www.ncbi.nlm.nih.gov/pubmed/27831893", "https://www.wikidata.org/entity/Q50550490"]}, {"id": "d22dd4a6752a5ffa40aebd260ff63d2c2a9e1da1", "title": "Pose Invariant 3D Face Reconstruction", "addresses": [{"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": "2018", "pdf": ["https://arxiv.org/pdf/1811.05295.pdf"], "doi": []}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "9c373438285101d47ab9332cdb0df6534e3b93d1", "title": "Occupancy Detection in Vehicles Using Fisher Vector Image Representation.", "addresses": [{"name": "Xerox Research Center", "source_name": "Xerox Research Center", "street_adddress": "Xerox Research Centre of Canada, 2660, Speakman Drive, Sheridan Park, Erin Mills, Ont., Peel Region, Ontario, L5J 2M4, Canada", "lat": "43.51291090", "lng": "-79.66640762", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1312.6024.pdf"], "doi": []}, {"id": "a4898f55f12e6393b1c078803909ea715bf71730", "title": "Where is the driver looking: Analysis of head, eye and iris for robust gaze zone estimation", "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": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/TawariChenTrivedi_ITSC2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957817", "http://doi.org/10.1109/ITSC.2014.6957817", "https://doi.org/10.1109/ITSC.2014.6957817"]}, {"id": "8ad0a88a7583af819af66cf2d9e8adb860cf9c34", "title": "Layer-wise supervised neural network for face alignment with multi-task regularization", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2016%5CConference%5C2016-ISCAS-CV-NISAIJIE%5CPID4075421.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7539153", "http://doi.org/10.1109/ISCAS.2016.7539153", "https://doi.org/10.1109/ISCAS.2016.7539153"]}, {"id": "e9809c0c6bf33cfe232a63b0a13f9b1263c58cb8", "title": "Bayesian Constrained Local Models Revisited", "addresses": [{"name": "University of Coimbra", "source_name": "University of Coimbra", "street_adddress": "Reitoria da Universidade de Coimbra, Rua de Entre-Col\u00e9gios, Almedina, Alta, Almedina, S\u00e9 Nova, Santa Cruz, Almedina e S\u00e3o Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal", "lat": "40.20759510", "lng": "-8.42566148", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["http://www.robots.ox.ac.uk/~joao/publications/pmartins_tpami2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7172556", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2462343", "http://doi.org/10.1109/TPAMI.2015.2462343", "https://www.ncbi.nlm.nih.gov/pubmed/26959675"]}, {"id": "441bf5f7fe7d1a3939d8b200eca9b4bb619449a9", "title": "Head pose estimation in the wild using approximate view manifolds", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Sundararajan_Head_Pose_Estimation_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301354", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301354", "http://doi.org/10.1109/CVPRW.2015.7301354"]}, {"id": "18a013e1c72cf579d1b215f22d298521047e98a4", "title": "Heterogeneous feature fusion-based optimal face image acquisition in visual sensor network", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7151421"]}, {"id": "321c8ba38db118d8b02c0ba209be709e6792a2c7", "title": "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/ICCVW2013.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICCV13W/Yan-ICCVW13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Yan_Learn_to_Combine_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755924"]}, {"id": "283d226e346ac3e7685dd9a4ba8ae55ee4f2fe43", "title": "Bayesian Data Association for Temporal Scene Understanding", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/283d/226e346ac3e7685dd9a4ba8ae55ee4f2fe43.pdf"], "doi": []}, {"id": "7cfbf90368553333b47731729e0e358479c25340", "title": "Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment", "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": ["http://www.andrew.cmu.edu/user/kseshadr/TPAMI_2016_Paper_Final_Submission.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346480", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2505301", "http://doi.org/10.1109/TPAMI.2015.2505301", "https://www.ncbi.nlm.nih.gov/pubmed/26660702"]}, {"id": "74875368649f52f74bfc4355689b85a724c3db47", "title": "Object detection by labeling superpixels", "addresses": [{"name": "National Laboratory of Pattern Recognition, Chinese Academy of Sciences", "source_name": "National Laboratory of Pattern Recognition, Institute of Automation of Chinese, Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_072.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_072_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299146", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299146", "http://doi.org/10.1109/CVPR.2015.7299146"]}, {"id": "0931bef0a9c8c153184a1f9c286cf4883cbe99b6", "title": "Combining feature-level and decision-level fusion in a hierarchical classifier for emotion recognition in the wild", "addresses": [{"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s12193-015-0203-6"]}, {"id": "3acb6b3e3f09f528c88d5dd765fee6131de931ea", "title": "Novel representation for driver emotion recognition in motor vehicle videos", "addresses": [{"name": "California State University", "source_name": "California State University, Fullerton", "street_adddress": "800 N State College Blvd, Fullerton, CA 92831, USA", "lat": "33.88292260", "lng": "-117.88692610", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/novelRepresentation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296393", "http://doi.org/10.1109/ICIP.2017.8296393"]}, {"id": "307aa94a046a7afa23ffd2ea0c9020e057b238bd", "title": "Learning Dense Facial Correspondences in Unconstrained Images", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00536.pdf"], "doi": []}, {"id": "81e366ed1834a8d01c4457eccae4d57d169cb932", "title": "Pose-Configurable Generic Tracking of Elongated Objects", "addresses": [{"name": "Gdansk University of Technology", "source_name": "Gdansk University of Technology", "street_adddress": "PG, Romualda Traugutta, Kr\u00f3lewska Dolina, Wrzeszcz G\u00f3rny, Gda\u0144sk, pomorskie, 80-233, RP", "lat": "54.37086525", "lng": "18.61716016", "type": "edu", "country": "Poland"}], "year": "2013", "pdf": ["http://www-public.int-edu.eu/~horain/Publications/Wesierski%20ICCV_2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Wesierski_Pose-Configurable_Generic_Tracking_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751474", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.363", "http://doi.org/10.1109/ICCV.2013.363"]}, {"id": "04c07ecaf5e962ac847059ece3ae7b6962b4e5c4", "title": "Multi-view common space learning for emotion recognition in the wild", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997631"]}, {"id": "0293721d276856f0425d4417e22381de3350ac32", "title": "Customer Satisfaction Measuring Based on the Most Significant Facial Emotion", "addresses": [{"name": "University of Paris-Est", "source_name": "University of Paris-Est, Gaspard-Monge Computer Science Laboratory A3SI, ESIEE Paris, CNRS, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84077910", "lng": "2.58732590", "type": "edu", "country": "France"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": ["https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/file/RK_SSD_2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570588", "https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/document"]}, {"id": "eb48170a6e1e020f002a6a0a808c1934d5c760b8", "title": "A Feasibility Study of Autism Behavioral Markers in Spontaneous Facial, Visual, and Hand Movement Response Data", "addresses": [{"name": "Old Dominion University", "source_name": "Old Dominion University", "street_adddress": "Old Dominion University, Elkhorn Avenue, Lamberts Point, Norfolk, Virginia, 23508, USA", "lat": "36.88568200", "lng": "-76.30768579", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8091011", "http://doi.org/10.1109/TNSRE.2017.2768482", "https://www.ncbi.nlm.nih.gov/pubmed/29432106"]}, {"id": "7aafeb9aab48fb2c34bed4b86755ac71e3f00338", "title": "Real Time 3D Facial Movement Tracking Using a Monocular Camera", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7aaf/eb9aab48fb2c34bed4b86755ac71e3f00338.pdf"], "doi": []}, {"id": "1aa766bbd49bac8484e2545c20788d0f86e73ec2", "title": "Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study", "addresses": [{"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://inside.mines.edu/~jpaone/papers/IV15_BaselineFaceDetection_SHRP2NDS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7225682", "http://doi.org/10.1109/IVS.2015.7225682"]}, {"id": "9ab963e473829739475b9e47514f454ab467a5af", "title": "A Fully End-to-End Cascaded CNN for Facial Landmark Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961742", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.33", "http://doi.org/10.1109/FG.2017.33"]}, {"id": "18ab4e43e475a0a066912873c694f998ffe1a37e", "title": "GAGAN: Geometry-Aware Generative Adversarial Networks", "addresses": [{"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.00684.pdf"], "doi": []}, {"id": "a2136b13aa0bb4ea4e7fa99a6c657b11dffff563", "title": "Spatially Coherent Feature Learning for Pose-Invariant Facial Expression Recognition", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}, {"name": "Jiangsu University", "source_name": "Jiangsu University", "street_adddress": "\u6c5f\u82cf\u5927\u5b66, 301, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212013, \u4e2d\u56fd", "lat": "32.20302965", "lng": "119.50968362", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3176646"]}, {"id": "b7461aac36fc0b8a24ecadf6c5b5caf54f2aa2f7", "title": "Two-stage cascade model for unconstrained face detection", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528404"]}, {"id": "e328d19027297ac796aae2470e438fe0bd334449", "title": "Automatic Micro-expression Recognition from Long Video Using a Single Spotted Apex", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Multimedia University", "source_name": "Multimedia University", "street_adddress": "Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia", "lat": "2.92749755", "lng": "101.64185301", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e328/d19027297ac796aae2470e438fe0bd334449.pdf"], "doi": []}, {"id": "64ba203c8cfc631d5f3f20419880523155fbeeb2", "title": "Local dominant binary patterns for recognition of multi-view facial expressions", "addresses": [{"name": "Indian Statistical Institute, Kolkata", "source_name": "Indian Statistical Institute, Kolkata", "street_adddress": "Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India", "lat": "22.64815210", "lng": "88.37681700", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010008"]}, {"id": "0a23d374c6cf71a65e845569230420362fe4903a", "title": "A discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["http://mplab.ucsd.edu/~ksikka/in_the_wild.pdf", "http://staff.estem-uc.edu.au/roland/files/2009/05/Dhall_Sikka_Littlewort_Goecke_Bartlett_WACV2014_ADiscriminativePartsBasedModelApproachForFiducialPointsFreeAndShapeConstrainedHeadPoseNormalisationInTheWild.pdf", "http://staff.estem-uc.edu.au/roland/files/2009/05/Dhall_Sikka_Littlewort_Goecke_Bartlett_WACV2014_supplementary.pdf", "http://users.cecs.anu.edu.au/~adhall/Head_Pose_Normalisation_in_The_Wild.pdf", "http://users.cecs.anu.edu.au/~adhall/supplementary_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835991", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835729", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835991", "http://doi.org/10.1109/WACV.2014.6835991"]}, {"id": "1b150248d856f95da8316da868532a4286b9d58e", "title": "Analyzing 3D Objects in Cluttered Images", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/6724/41000751d58396790f4c993419d70f6af3f4.pdf"], "doi": []}, {"id": "86c5478f21c4a9f9de71b5ffa90f2a483ba5c497", "title": "Kernel Selection using Multiple Kernel Learning and Domain Adaptation in Reproducing Kernel Hilbert Space, for Face Recognition under Surveillance Scenario", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00660.pdf"], "doi": []}, {"id": "03f98c175b4230960ac347b1100fbfc10c100d0c", "title": "Supervised Descent Method and Its Applications to Face Alignment", "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": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/intraface.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a532.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Xiong_Supervised_Descent_Method_2013_CVPR_paper.pdf", "http://www.gatsby.ucl.ac.uk/~szabo/talks/tea_talk_Gatsby/Zoltan_Szabo_tea_talk_16_03_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618919", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.75", "http://doi.org/10.1109/CVPR.2013.75", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2175&context=robotics"]}, {"id": "55c4efc082a8410b528af7325de8148b80cf41e3", "title": "Integrated System for Face Detection, Clustering and Recognition", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3231899"]}, {"id": "b5f3b0f45cf7f462a9c463a941e34e102a029506", "title": "From individual to group-level emotion recognition: EmotiW 5.0", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3143004"]}, {"id": "b3465625ada74af38feca2d5067c5607b7d7fe16", "title": "Anchor Cascade for Efficient Face Detection", "addresses": [{"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8576555"]}, {"id": "c20b2d365186f4471950fbe1ef8755de90efc000", "title": "Face verification with fully dynamic size blocks based on landmark detection", "addresses": [{"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6850737"]}, {"id": "1f9b2f70c24a567207752989c5bd4907442a9d0f", "title": "Deep Representations to Model User 'Likes'", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Institute for Infocomm Research, Singapore", "source_name": "Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1f9b/2f70c24a567207752989c5bd4907442a9d0f.pdf"], "doi": []}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "93d903d2e48d6a8ad3e3d2aff2e57622efe649cd", "title": "Local saliency-inspired binary patterns for automatic recognition of multi-view facial expression", "addresses": [{"name": "Indian Statistical Institute, Kolkata", "source_name": "Indian Statistical Institute, Kolkata", "street_adddress": "Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India", "lat": "22.64815210", "lng": "88.37681700", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532432", "http://doi.org/10.1109/ICIP.2016.7532432"]}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham Ningbo China", "source_name": "University of Nottingham Ningbo China", "street_adddress": "199 Taikang E Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.80344900", "lng": "121.56160900", "type": "edu", "country": "China"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "2742a61d32053761bcc14bd6c32365bfcdbefe35", "title": "Learning Transformations for Clustering and Classification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1309.2074.pdf"], "doi": []}, {"id": "8d646ac6e5473398d668c1e35e3daa964d9eb0f6", "title": "Memory-efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment.", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08481.pdf"], "doi": []}, {"id": "9901f473aeea177a55e58bac8fd4f1b086e575a4", "title": "Human and sheep facial landmarks localisation by triplet interpolated features", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.04954.pdf"], "doi": []}, {"id": "b9812f16ee3303ca0e32f9cfe38474fe69812624", "title": "3D Face Reconstruction and Dynamic Feature Extraction for Pose-Invariant Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://download.atlantis-press.com/article/10146.pdf"], "doi": ["https://doi.org/10.2991/3ca-13.2013.30"]}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "b73d9e1af36aabb81353f29c40ecdcbdf731dbed", "title": "Head Pose Estimation on Top of Haar-Like Face Detection: A Study Using the Kinect Sensor", "addresses": [{"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}], "year": "2015", "pdf": ["http://www.mdpi.com/1424-8220/15/9/20945/pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26343651", "http://doi.org/10.3390/s150920945", "https://www.wikidata.org/entity/Q36176047"]}, {"id": "ca537e1726a8d8c371a71bbd6d9098774ab51955", "title": "3D Reconstruction of \u201cIn-the-Wild\u201d Faces in Images and Videos", "addresses": [{"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359431", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2832138", "http://doi.org/10.1109/TPAMI.2018.2832138", "https://www.ncbi.nlm.nih.gov/pubmed/29993707"]}, {"id": "8f08b2101d43b1c0829678d6a824f0f045d57da5", "title": "Supplementary Material for : Active Pictorial Structures Epameinondas Antonakos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8f08/b2101d43b1c0829678d6a824f0f045d57da5.pdf"], "doi": []}, {"id": "4c078c2919c7bdc26ca2238fa1a79e0331898b56", "title": "Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03409.pdf"], "doi": []}, {"id": "22894c7a84984bd4822dcfe7c76a74673a242c36", "title": "Automatic emotion recognition in the wild using an ensemble of static and dynamic representations", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "Sabanci University", "source_name": "Sabanci University", "street_adddress": "Sabanci Universitesi, Preveze Cad., Orta Mahallesi, Tepe\u00f6ren, Tuzla, \u0130stanbul, Marmara B\u00f6lgesi, 34953, T\u00fcrkiye", "lat": "40.89271590", "lng": "29.37863323", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997634"]}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "1b794b944fd462a2742b6c2f8021fecc663004c9", "title": "A Hierarchical Probabilistic Model for Facial Feature Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1709.05732.pdf"], "doi": []}, {"id": "1610d2d4947c03a89c0fda506a74ba1ae2bc54c2", "title": "Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variation", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785119", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.54", "http://doi.org/10.1109/3DV.2016.54"]}, {"id": "cc7e66f2ba9ac0c639c80c65534ce6031997acd7", "title": "Facial Descriptors for Identity-Preserving Multiple People Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/cc7e/66f2ba9ac0c639c80c65534ce6031997acd7.pdf"], "doi": []}, {"id": "fe9d9c298d2e0c72408668fcff996e4bf58cc6c6", "title": "Accurate detection of human face position in the environmental images using Gabor wavelet transformations", "addresses": [{"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8252162", "http://doi.org/10.1109/sai.2017.8252162"]}, {"id": "993374c1c9d58a3dec28160188ff6ac1227d02f5", "title": "WHoG: A weighted HoG-based scheme for the detection of birds and identification of their poses in natural environments", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7838650", "http://doi.org/10.1109/ICARCV.2016.7838650"]}, {"id": "845c5e3f264d4a5d660ff0abc81c84778ceb324e", "title": "Robust Face Recognition Providing the Identity and Its Reliability Degree Combining Sparse Representation and Multiple Features", "addresses": [{"name": "University of Milan", "source_name": "University of Milan", "street_adddress": "Milan Avenue, Ray Mar Terrace, University City, St. Louis County, Missouri, 63130, USA", "lat": "38.67966620", "lng": "-90.32628160", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/845c/5e3f264d4a5d660ff0abc81c84778ceb324e.pdf"], "doi": []}, {"id": "152683f3ac99f829b476ea1b1b976dec6e17b911", "title": "Evaluation of head pose estimation methods for a non-cooperative biometric system", "addresses": [{"name": "Lodz University of Technology", "source_name": "Lodz University of Technology, ul. Wolczanska 221/223, 90-924, Poland", "street_adddress": "Stefana \u017beromskiego 116, 90-924 \u0141\u00f3d\u017a, Poland", "lat": "51.75371460", "lng": "19.45171760", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7529773", "http://doi.org/10.1109/MIXDES.2016.7529773"]}, {"id": "a255a54b8758050ea1632bf5a88a201cd72656e1", "title": "Nonparametric Facial Feature Localization", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W16/papers/Tamersoy_Nonparametric_Facial_Feature_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595969", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.160", "http://doi.org/10.1109/CVPRW.2013.160"]}, {"id": "18c6c92c39c8a5a2bb8b5673f339d3c26b8dcaae", "title": "Learning invariant representations and applications to face verification", "addresses": [{"name": "McGovern Institute for Brain Research", "source_name": "McGovern Institute for Brain Research", "street_adddress": "McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.36262950", "lng": "-71.09144810", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/18c6/c92c39c8a5a2bb8b5673f339d3c26b8dcaae.pdf"], "doi": []}, {"id": "565590af15af3d02f0b592b2e201e36708e4fe50", "title": "Biometric recognition system for challenging faces", "addresses": [{"name": "Jadavpur University", "source_name": "Jadavpur University", "street_adddress": "Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, H\u0101ora, West Bengal, 700098, India", "lat": "22.56115370", "lng": "88.41310194", "type": "edu", "country": "India"}, {"name": "Electronics and Communication Sciences Unit, Indian Statistical Institute, India", "source_name": "Electronics and Communication Sciences Unit, Indian Statistical Institute, India", "street_adddress": "Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India", "lat": "22.64815210", "lng": "88.37681700", "type": "edu", "country": "India"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490063"]}, {"id": "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "title": "To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04823.pdf"], "doi": []}, {"id": "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "title": "Deep Recurrent Regression for Facial Landmark Detection", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.09083.pdf"], "doi": []}, {"id": "9628af8b8496a2e69c8eb8a33e2db2db62551e9c", "title": "Deep Learning for Illumination Invariant Facial Expression Recognition", "addresses": [{"name": "Coventry University", "source_name": "Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Coventry, UK", "street_adddress": "1 Gulson Rd, Coventry CV1 2JH, UK", "lat": "52.40528980", "lng": "-1.49965930", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489123", "http://doi.org/10.1109/IJCNN.2018.8489123"]}, {"id": "6966d9d30fa9b7c01523425726ab417fd8428790", "title": "Exemplar-Based Face Parsing", "addresses": [{"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013.pdf", "http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013_poster.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d484.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Smith_Exemplar-Based_Face_Parsing_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619291", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.447", "http://doi.org/10.1109/CVPR.2013.447"]}, {"id": "5632ba72b2652df3b648b2ee698233e76a4eee65", "title": "Reconstruction of 3D facial image using a single 2D image", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Newcastle", "source_name": "University of Newcastle", "street_adddress": "University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia", "lat": "-33.35788990", "lng": "151.37834708", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8346387"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "f25aa838fb44087668206bf3d556d31ffd75235d", "title": "Vinereactor: Crowdsourced Spontaneous Facial Expression Data", "addresses": [{"name": "Villanova University", "source_name": "Villanova University", "street_adddress": "Villanova University, East Lancaster Avenue, Radnor Township, Delaware County, Pennsylvania, 19010, USA", "lat": "40.03677740", "lng": "-75.34202332", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912038"]}, {"id": "06b6606e47e071bbe070093c78120207578126fd", "title": "Total Moving Face Reconstruction", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://grail.cs.washington.edu/wp-content/uploads/2015/08/suwajanakorn2014tmf.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8692/86920796.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10593-2_52"]}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "aa127e6b2dc0aaccfb85e93e8b557f83ebee816b", "title": "Advancing human pose and gesture recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Wolfson College", "source_name": "Wolfson College", "street_adddress": "Wolfson College, Linton Road, Norham Manor, Oxford, Oxon, South East, England, OX2 6UD, UK", "lat": "51.77110760", "lng": "-1.25361700", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aa12/7e6b2dc0aaccfb85e93e8b557f83ebee816b.pdf"], "doi": []}, {"id": "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "title": "Mixture of parts revisited: Expressive part interactions for Pose Estimation", "addresses": [{"name": "Indian Institute of Technology Madras, Chennai, India", "source_name": "Indian Institute of Technology Madras, Chennai, India", "street_adddress": "Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India", "lat": "12.99149290", "lng": "80.23369070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6791.pdf"], "doi": []}, {"id": "74325f3d9aea3a810fe4eab8863d1a48c099de11", "title": "Regression-Based Image Alignment for General Object Categories", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}, {"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": "2014", "pdf": ["https://arxiv.org/pdf/1407.1957.pdf"], "doi": []}, {"id": "086655743dc5f16563c012ad43b2f9d06771d9c0", "title": "Near real-time face parsing", "addresses": [{"name": "CVIT, IIIT Hyderabad, India", "source_name": "CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2013", "pdf": ["http://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/images/ConferencePapers/2013/Digvijay2013Real.pdf", "http://web2py.iiit.ac.in/research_centres/publications/download/inproceedings.pdf.ad7852325354d4f4.44696776696a6179323031335265616c2e706466.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6776192"]}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "8633732d9f787f8497c2696309c7d70176995c15", "title": "Multi-objective convolutional learning for face labeling", "addresses": [{"name": "Baidu Research, USA", "source_name": "Baidu Research, USA", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"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": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr15_face_labeling.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cvpr15_facel_labeling_supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_013.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_013_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_013_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298967", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298967", "http://doi.org/10.1109/CVPR.2015.7298967"]}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805472", "http://doi.org/10.1109/VCIP.2016.7805472"]}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"], "doi": []}, {"id": "85674b1b6007634f362cbe9b921912b697c0a32c", "title": "Optimizing Facial Landmark Detection by Facial Attribute Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8567/4b1b6007634f362cbe9b921912b697c0a32c.pdf"], "doi": []}, {"id": "0750c796467b6ef60b0caff5fb199337d54d431e", "title": "Face detection method based on histogram of sparse code in tree deformable model", "addresses": [{"name": "Chongqing University of Posts and Telecommunications", "source_name": "Chongqing University of Posts and Telecommunications", "street_adddress": "\u91cd\u5e86\u90ae\u7535\u5927\u5b66, \u5d07\u6587\u8def, \u6e1d\u4e2d\u533a, \u9ec4\u6877\u57ad, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400065, \u4e2d\u56fd", "lat": "29.53570460", "lng": "106.60482474", "type": "edu", "country": "China"}, {"name": "University of North Carolina Wilmington", "source_name": "University of North Carolina Wilmington", "street_adddress": "Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.23755810", "lng": "-77.92701290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873015", "http://doi.org/10.1109/ICMLC.2016.7873015"]}, {"id": "3a8846ca16df5dfb2daadc189ed40c13d2ddc0c5", "title": "Validation loss for landmark detection", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10143.pdf"], "doi": []}, {"id": "b4362cd87ad219790800127ddd366cc465606a78", "title": "A Smartphone-Based Automatic Diagnosis System for Facial Nerve Palsy", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/b436/2cd87ad219790800127ddd366cc465606a78.pdf"], "doi": []}, {"id": "44f433c5db087664cd5fae273763a2d2baf03bfd", "title": "Continuous Trade-off Optimization Between Fast and Accurate Deep Face Detectors", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11582.pdf"], "doi": []}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "1a6c9ef99bf0ab9835a91fe5f1760d98a0606243", "title": "ConceptMap: Mining Noisy Web Data for Concept Learning", "addresses": [{"name": "Bilkent University", "source_name": "Bilkent University", "street_adddress": "Bilkent \u00dcniversitesi, 3. Cadde, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87204890", "lng": "32.75395155", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": ["http://repository.bilkent.edu.tr/bitstream/handle/11693/27008/bilkent-research-paper.pdf;jsessionid=841C6C1E9F721920D6E2B18E140A83CD?sequence=1", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8695/86950439.pdf", "http://www.researchgate.net/profile/Eren_Golge/publication/265528981_ConceptMap_Mining_noisy_web_data_for_concept_learning/links/54118fa20cf264cee28b3fdd.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10584-0_29"]}, {"id": "04661729f0ff6afe4b4d6223f18d0da1d479accf", "title": "From Facial Parts Responses to Face Detection: A Deep Learning Approach", "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"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.06451.pdf"], "doi": []}, {"id": "0d746111135c2e7f91443869003d05cde3044beb", "title": "Partial face detection for continuous authentication", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "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": "2016", "pdf": ["https://arxiv.org/pdf/1603.09364.pdf"], "doi": []}, {"id": "93dd4e512cd7647aecbfc0cd4767adf5d9289c3d", "title": "Pose-based composition improvement for portrait photographs", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "RMIT University, Vietnam", "source_name": "RMIT University, Vietnam", "street_adddress": "RMIT University Vietnam - Saigon South Campus, 702, Nguy\u1ec5n V\u0103n Linh, Khu 3 - Khu \u0110\u1ea1i h\u1ecdc, Ph\u01b0\u1eddng T\u00e2n Phong, Qu\u1eadn 7, Tp HCM, 756604, Vi\u1ec7t Nam", "lat": "10.72991265", "lng": "106.69320824", "type": "edu", "country": "Vietnam"}, {"name": "Tolendata Singapore R&D Centre, Singapore", "source_name": "Tolendata Singapore R&D Centre Private Limited, Singapore", "street_adddress": "Nestle R&D Center (Pte) Ltd, 29 Quality Rd, Singapore 618802", "lat": "1.33016270", "lng": "103.71021430", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001962.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952499", "http://doi.org/10.1109/ICASSP.2017.7952499", "https://doi.org/10.1109/ICASSP.2017.7952499"]}, {"id": "e57014b4106dd1355e69a0f60bb533615a705606", "title": "Following event detection method based on human skeleton motion analysis by Kinect sensor", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "Institute of Energy, Jiangxi Academy of Sciences, Nanchang, China", "source_name": "Institute of Energy, Jiangxi Academy of Sciences, Nanchang, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.68352900", "lng": "115.93734700", "type": "edu", "country": "China"}, {"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s13748-018-0143-y", "https://doi.org/10.1007/s13748-018-0143-y"]}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "f3495bf7f7d827c72cc4e7a4850eaf54a998db11", "title": "Trends and Controversies", "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": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "Maastricht University", "source_name": "Maastricht University", "street_adddress": "UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland", "lat": "50.83367120", "lng": "5.71589000", "type": "edu", "country": "Netherlands"}, {"name": "SensoMotoric Instruments", "source_name": "SensoMotoric Instruments (SMI)", "street_adddress": "236 Lewis Wharf, Boston, MA 02110, USA", "lat": "42.36329100", "lng": "-71.05010180", "type": "company", "country": "United States"}, {"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}, {"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Naples Federico II", "source_name": "University of Naples Federico II", "street_adddress": "Corso Umberto I, 40, 80138 Napoli NA, Italy", "lat": "40.84549200", "lng": "14.25780580", "type": "edu", "country": "Italy"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Southampton", "source_name": "University of Southampton", "street_adddress": "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu", "country": "United Kingdom"}, {"name": "Universit\u00e0 di Salerno Italy", "source_name": "Universit\u00e0 di Salerno Italy", "street_adddress": "Universit\u00e0, Autostrada del Mediterraneo, Fisciano, SA, CAM, 84084, Italia", "lat": "40.76469490", "lng": "14.78891510", "type": "edu", "country": "Italy"}, {"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2018", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/mex201803.issue.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423530", "http://doi.ieeecomputersociety.org/10.1109/MIS.2018.033001416", "http://doi.org/10.1109/MIS.2018.033001416"]}, {"id": "33f7e78950455c37236b31a6318194cfb2c302a4", "title": "Parameterizing Object Detectors in the Continuous Pose Space", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/33f7/e78950455c37236b31a6318194cfb2c302a4.pdf"], "doi": []}, {"id": "ecd6506cc3195620822e1f103b2faa96c1e8c0fc", "title": "Deepgender: real-time gender classification using deep learning for smartphones", "addresses": [{"name": "Bahria University", "source_name": "Bahria University, Islamabad, Pakistan", "street_adddress": "Sector E-8\u060c Shangrilla Rd, E 8/1 E-8, Islamabad, Islamabad Capital Territory, Pakistan", "lat": "33.71574460", "lng": "73.02941240", "type": "edu", "country": "Pakistan"}, {"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "National Textile University", "source_name": "National Textile University, Faisalabad, Pakistan", "street_adddress": "Lahore - Sheikhupura - Faisalabad Rd, Manawala, Faisalabad, Punjab 37610, Pakistan", "lat": "31.46192890", "lng": "73.14860980", "type": "edu", "country": "Pakistan"}, {"name": "Government College University Faisalabad", "source_name": "Government College University Faisalabad, Faisalabad, Pakistan", "street_adddress": "Kotwali Rd, Gurunanakpura, Faisalabad, Punjab 38000, Pakistan", "lat": "31.41611100", "lng": "73.06996880", "type": "edu", "country": "Pakistan"}, {"name": "University of Engineering and Technology", "source_name": "Institute of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan", "street_adddress": "Institute of Mechatronics Engineering, Phase 5 Hayatabad, Peshawar, Khyber Pakhtunkhwa, Pakistan", "lat": "33.98857320", "lng": "71.43559500", "type": "edu", "country": "Pakistan"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-017-0714-3"]}, {"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"}, {"name": "Utechzone Co. Ltd., New Taipei City, Taiwan", "source_name": "Utechzone Co. Ltd., New Taipei City, Taiwan 235", "street_adddress": "Zhonghe District, New Taipei City, Taiwan 235", "lat": "24.99444600", "lng": "121.49702940", "type": "company", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272721", "http://doi.org/10.1109/BTAS.2017.8272721"]}, {"id": "21765df4c0224afcc25eb780bef654cbe6f0bc3a", "title": "Multi-channel Correlation Filters", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751493"]}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"], "doi": []}, {"id": "b06f2949eb748331c40a8b2381517fa09757ad17", "title": "Illumination Normalization in Face Recognition Using DCT and Supporting Vector Machine ( SVM )", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b06f/2949eb748331c40a8b2381517fa09757ad17.pdf"], "doi": []}, {"id": "32a8c1bf38f3057fdb808d27d5c1a82a168fc100", "title": "PD2T: Person-Specific Detection, Deformable Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/2017_pami_offline_deformable_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094942", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2769654", "http://doi.org/10.1109/TPAMI.2017.2769654", "https://www.ncbi.nlm.nih.gov/pubmed/29990150"]}, {"id": "5c91fc106cfe9d57a9b149c1af29ca84d403fc7e", "title": "3D Pose Tracking With Multitemplate Warping and SIFT Correspondences", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "GuangXi Cast Animation Company, Ltd., Nanning, China", "source_name": "GuangXi Cast Animation Company, Ltd., Nanning, China", "street_adddress": "Nanning, Guangxi, China", "lat": "22.81700200", "lng": "108.36654300", "type": "company", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7147794", "http://doi.org/10.1109/TCSVT.2015.2452782"]}, {"id": "dda35768681f74dafd02a667dac2e6101926a279", "title": "Multi-layer temporal graphical model for head pose estimation in real-world videos", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://www.cim.mcgill.ca/~clark/vmrl/web-content/papers/jjclark_icip_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025686", "http://doi.org/10.1109/ICIP.2014.7025686"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "7811fd02bb77e2f6644f34c0f445d096199c3c2f", "title": "Model-Free Head Pose Estimation Based on Shape Factorisation and Particle Filtering", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7811/fd02bb77e2f6644f34c0f445d096199c3c2f.pdf"], "doi": []}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "ddb1a392582c624c9116cb00eac01aba220fad84", "title": "Face frontalization enhanced by deep learning", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bah\u00e7e\u015fehir \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye", "street_adddress": "Istanbul, Turkey", "lat": "41.00823760", "lng": "28.97835890", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960615"]}, {"id": "671bfefb22d2044ab3e4402703bb88a10a7da78a", "title": "Triple consistency loss for pairing distributions in GAN-based face synthesis.", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03492.pdf"], "doi": []}, {"id": "2dc34d0e991c5df59b9c0a6022ece9430a913bb5", "title": "Discriminant Patch Representation for RGB-D Face Recognition Using Convolutional Neural Networks", "addresses": [{"name": "Sfax University", "source_name": "Laboratory of Computer and Embedded Systems, Sfax University, Sfax, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.06829.pdf"], "doi": []}, {"id": "e03f69bad7e6537794a50a99da807c9df4ff5186", "title": "Unsupervised method of Domain Adaptation on representation of discriminatory regions of the face image for surveillance face datasets", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2709060"]}, {"id": "2ce84465b9759166effc7302c2f5339766cc523d", "title": "Sparsity-based joint gaze correction and face beautification for conferencing video", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://research.nii.ac.jp/~cheung/2015/vcip2015_nii.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7457830", "http://doi.org/10.1109/VCIP.2015.7457830"]}, {"id": "3251f40ed1113d592c61d2017e67beca66e678bb", "title": "Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization", "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": [], "doi": ["http://doi.org/10.1007/978-3-319-65172-9_17"]}, {"id": "37619564574856c6184005830deda4310d3ca580", "title": "A deep pyramid Deformable Part Model for face detection", "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": "2015", "pdf": ["https://arxiv.org/pdf/1508.04389.pdf"], "doi": []}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "32fbd7e8e9fa2387cbd6d23b9925fe7c2072cb92", "title": "A New Robust Color Descriptor for Face Detection", "addresses": [{"name": "Technion - Israel Institute of Technology", "source_name": "Technion - Israel Institute of Technology", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["http://www.scitepress.org/papers/2015/51774/51774.pdf"], "doi": ["https://doi.org/10.5220/0005177400130021"]}, {"id": "ce6a6d35f65e584214aaf24378ab85038decddbb", "title": "High dimensional local binary patterns for facial expression recognition in the wild", "addresses": [{"name": "Silesian University of Technology", "source_name": "Institute of Informatics, Silesian University of Technology, Gliwice, Poland", "street_adddress": "Akademicka 2A, 44-100 Gliwice, Poland", "lat": "50.29165100", "lng": "18.67453100", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495381"]}, {"id": "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "title": "Improved Strategies for HPE Employing Learning-by-Synthesis Approaches", "addresses": [{"name": "Public University of Navarra", "source_name": "Public University of Navarra, Pamplona, Spain", "street_adddress": "Campus de Arrosadia, s/n, 31006 Pamplona, Navarra, Spain", "lat": "42.79726300", "lng": "-1.63215180", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Larumbe_Improved_Strategies_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.182", "http://doi.org/10.1109/ICCVW.2017.182"]}, {"id": "405ff96909968c6de716c9a650c8f27aa5b336b0", "title": "An Unconstrained Face Detection Algorithm Based on Visual Saliency", "addresses": [{"name": "Nanjing Institute of Technology", "source_name": "Nanjing Institute of Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Jiangning, \u4e3d\u6cfd\u8def", "lat": "31.91605100", "lng": "118.88531400", "type": "edu", "country": "China"}, {"name": "Jiangsu Province Traditional Chinese Medicine Hospital, Nanjing, China", "source_name": "Jiangsu Province Traditional Chinese Medicine Hospital, Nanjing, China", "street_adddress": "155 Hanzhong Rd, Bai Xia Qu, Nanjing Shi, Jiangsu Sheng, China, 210004", "lat": "32.04184200", "lng": "118.77490200", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-59463-7_46"]}, {"id": "14effecdf4e99a6ef3bb590582ca07e642d49632", "title": "Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes Observed in Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3290/55356252ec95df17699487632b7607572ad6.pdf"], "doi": []}, {"id": "171d8a39b9e3d21231004f7008397d5056ff23af", "title": "Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"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": ["https://arxiv.org/pdf/1709.08130.pdf"], "doi": []}, {"id": "3ea0555aeef50012c87289dc1b18241ec1a858f1", "title": "A Novel Facial Action Intensity Detection System", "addresses": [{"name": "University of the Witwatersrand", "source_name": "University of the Witwatersrand", "street_adddress": "University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa", "lat": "-26.18888130", "lng": "28.02479073", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3ea0/555aeef50012c87289dc1b18241ec1a858f1.pdf"], "doi": []}, {"id": "0a6a818b634cca4eb75a37bfd23b5c5c21331b12", "title": "Face Alignment Refinement", "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": "2015", "pdf": ["http://hal.cse.msu.edu/pdfs/papers/wacv-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045883", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.29", "http://doi.org/10.1109/WACV.2015.29"]}, {"id": "3a54b23cdbd159bb32c39c3adcba8229e3237e56", "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"], "doi": []}, {"id": "293d69d042fe9bc4fea256c61915978ddaf7cc92", "title": "Face Recognition by Coarse-to-Fine Landmark Regression with Application to ATM Surveillance", "addresses": [{"name": "Guangzhou University", "source_name": "Guangzhou University", "street_adddress": "\u5e7f\u5dde\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u897f\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u5357\u6751\u9547, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04436505", "lng": "113.36668458", "type": "edu", "country": "China"}, {"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": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-7302-1_6"]}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "607aebe7568407421e8ffc7b23a5fda52650ad93", "title": "Face alignment via an ensemble of random ferns", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477237", "http://doi.org/10.1109/ISBA.2016.7477237"]}, {"id": "690f5d35489c63ec7309b9e4d77c929815065257", "title": "Complementary effects of gaze direction and early saliency in guiding fixations during free viewing.", "addresses": [{"name": "University of Wisconsin", "source_name": "University of Wisconsin, Madison, USA", "street_adddress": "Madison, WI 53706, USA", "lat": "43.07659200", "lng": "-89.41248750", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/690f/5d35489c63ec7309b9e4d77c929815065257.pdf"], "doi": []}, {"id": "9ab126760f68071a78cabe006cf92995d6427025", "title": "An efficient multi-threshold AdaBoost approach to detecting faces in images", "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": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-013-1703-6"]}, {"id": "43776d1bfa531e66d5e9826ff5529345b792def7", "title": "Automatic Critical Event Extraction and Semantic Interpretation by Looking-Inside", "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": "2015", "pdf": ["http://cvrr.ucsd.edu/publications/2015/MartinOhnbarTrivedi_ITSC2015.pdf", "http://cvrr.ucsd.edu/scmartin/presentation/DriveAnalysisByLookingIn-ITSC2015-NDS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313459", "http://doi.org/10.1109/ITSC.2015.367"]}, {"id": "c46a4db7247d26aceafed3e4f38ce52d54361817", "title": "A CNN Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09642.pdf"], "doi": []}, {"id": "6afccf6c6cebfaa0579a23e7cc7737837b090f0f", "title": "A facial expression recognition method based on ensemble of 3D convolutional neural networks", "addresses": [{"name": "East China University of Science and Technology", "source_name": "East China University of Science and Technology, Shanghai, People\u2019s Republic of China", "street_adddress": "130 Meilong Rd, Xuhui Qu, Shanghai Shi, China, 200237", "lat": "31.14089700", "lng": "121.42524800", "type": "edu", "country": "China"}, {"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": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-017-3230-2"]}, {"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"}, {"name": "Chongqing Medical University", "source_name": "College of Medical Informatics, Chongqing Medical University, Chongqing, China", "street_adddress": "China, Chongqing, Yuzhong, \u6e1d\u5dde\u8def", "lat": "29.53547500", "lng": "106.50451100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489507", "http://doi.org/10.1109/IJCNN.2018.8489507"]}, {"id": "1b0a071450c419138432c033f722027ec88846ea", "title": "Looking at faces in a vehicle: A deep CNN based approach and evaluation", "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": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediITSC2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795622", "http://doi.org/10.1109/ITSC.2016.7795622"]}, {"id": "be57d2aaab615ec8bc1dd2dba8bee41a4d038b85", "title": "Automatic Analysis of Naturalistic Hand-Over-Face Gestures", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2946796"]}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "addresses": [{"name": "Sorbonne Universit\u00e9s, Paris, France", "source_name": "Sorbonne Universit\u00e9s, Paris, France", "street_adddress": "15-21 Rue de l'\u00c9cole de M\u00e9decine, 75006 Paris, France", "lat": "48.85076030", "lng": "2.34127570", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"], "doi": []}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": []}, {"id": "4a1d640f5e25bb60bb2347d36009718249ce9230", "title": "Towards Multi-view and Partially-Occluded Face Alignment", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/4555/1/CVPR14FaceAlignmentCameraReady.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Xing_Towards_Multi-view_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909632", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.236", "http://doi.org/10.1109/CVPR.2014.236"]}, {"id": "9103148dd87e6ff9fba28509f3b265e1873166c9", "title": "Face Analysis using 3 D Morphable Models", "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"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9103/148dd87e6ff9fba28509f3b265e1873166c9.pdf"], "doi": []}, {"id": "26949c1ba7f55f0c389000aa234238bf01a32d3b", "title": "Coupled cascade regression for simultaneous facial landmark detection and head pose estimation", "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": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296814", "http://doi.org/10.1109/ICIP.2017.8296814"]}, {"id": "66330846a03dcc10f36b6db9adf3b4d32e7a3127", "title": "Polylingual Multimodal Learning", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6633/0846a03dcc10f36b6db9adf3b4d32e7a3127.pdf"], "doi": []}, {"id": "ea0785c2d4ac8f8d6415cffdb83547bfc4e7adba", "title": "Spontaneous Facial Expression Recognition using Sparse Representation", "addresses": [{"name": "GIPSA-lab", "source_name": "GIPSA-lab, BP 46 - 38402 St Martin d'Heres - France", "street_adddress": "11 Rue des Math\u00e9matiques, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19344150", "lng": "5.76631150", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1810.00362.pdf"], "doi": []}, {"id": "02820c1491b10a1ff486fed32c269e4077c36551", "title": "Active user authentication for smartphones: A challenge data set and benchmark results", "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"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.07930.pdf"], "doi": []}, {"id": "8bc190e3782a20f49b7346ecc80099edd89bc257", "title": "Brief review of facial expression recognition techniques", "addresses": [{"name": "Shaheed Zulfikar Ali Bhutto Institute of Science and Technology", "source_name": "Shaheed Zulfikar Ali Bhutto Institute of", "street_adddress": "Shaheed Zulfikar Ali Bhutto Institute of Science and Technology - Karachi Campus, Block 5, Clifton Block 5, CBC, \u06aa\u0631\u0627\u0686\u064a Karachi, Kar\u0101chi District, \u0633\u0646\u068c, 75600, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "24.81865870", "lng": "67.03165850", "type": "edu", "country": "Pakistan"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8bc1/90e3782a20f49b7346ecc80099edd89bc257.pdf"], "doi": []}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "fc0f5859a111fb17e6dcf6ba63dd7b751721ca61", "title": "Design of an Automatic Facial Expression Detector", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fc0f/5859a111fb17e6dcf6ba63dd7b751721ca61.pdf"], "doi": []}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "4786638ffb3b2fb385cec80720cc6e7c3588b773", "title": "Effective semantic features for facial expressions recognition using SVM", "addresses": [{"name": "Tatung University", "source_name": "Tatung University, Taipei City, Taiwan Roc", "street_adddress": "No. 40\u865f, Section 3, Zhongshan N Rd, Zhongshan District, Taipei City, Taiwan 10452", "lat": "25.06693330", "lng": "121.52216100", "type": "edu", "country": "Taiwan"}, {"name": "Tamkang University", "source_name": "Tamkang University", "street_adddress": "\u6de1\u6c5f\u5927\u5b78, 151, \u82f1\u5c08\u8def, \u4e2d\u8208\u91cc, \u9b3c\u4ed4\u5751, \u6de1\u6c34\u5340, \u65b0\u5317\u5e02, 25137, \u81fa\u7063", "lat": "25.17500615", "lng": "121.45076751", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2598-1"]}, {"id": "b6d0e461535116a675a0354e7da65b2c1d2958d4", "title": "Deep Directional Statistics: Pose Estimation with Uncertainty Quantification", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03430.pdf"], "doi": []}, {"id": "47fdbd64edd7d348713253cf362a9c21f98e4296", "title": "Facial point detection based on a convolutional neural network with optimal mini-batch procedure", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.vision.cs.chubu.ac.jp/MPRG/C_group/C071_yamashita2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351325", "http://doi.org/10.1109/ICIP.2015.7351325"]}, {"id": "c23153aade9be0c941390909c5d1aad8924821db", "title": "Efficient and Accurate Tracking for Face Diarization via Periodical Detection", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/c231/53aade9be0c941390909c5d1aad8924821db.pdf"], "doi": []}, {"id": "31dd6bafd6e7c6095eb8d0591abac3b0106a75e3", "title": "Face Recognition In Unconstrained Environment", "addresses": [{"name": "Khon Kaen University", "source_name": "Khon Kaen University", "street_adddress": "\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e02\u0e2d\u0e19\u0e41\u0e01\u0e48\u0e19, 4, \u0e1a\u0e49\u0e32\u0e19\u0e2b\u0e19\u0e2d\u0e07\u0e2b\u0e31\u0e27\u0e0a\u0e49\u0e32\u0e07, \u0e02\u0e2d\u0e19\u0e41\u0e01\u0e48\u0e19, \u0e08\u0e31\u0e07\u0e2b\u0e27\u0e31\u0e14\u0e02\u0e2d\u0e19\u0e41\u0e01\u0e48\u0e19, 40002, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "16.46007565", "lng": "102.81211798", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8457336"]}, {"id": "60106015783983454bf5925af9d9c1a5f4b701f0", "title": "Generalized Bilinear Deep Convolutional Neural Networks for Multimodal Biometric Identification", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451532"]}, {"id": "d4c2d26523f577e2d72fc80109e2540c887255c8", "title": "Face-space Action Recognition by Face-Object Interactions", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.04293.pdf"], "doi": []}, {"id": "c30982d6d9bbe470a760c168002ed9d66e1718a2", "title": "Multi-camera head pose estimation using an ensemble of exemplars", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2789123"]}, {"id": "13b1b18b9cfa6c8c44addb9a81fe10b0e89db32a", "title": "A Hierarchical Deep Temporal Model for Group Activity Recognition", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06040.pdf"], "doi": []}, {"id": "5778d49c8d8d127351eee35047b8d0dc90defe85", "title": "Probabilistic Subpixel Temporal Registration for Facial Expression Analysis", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ec31/6c1c182de9d7fe73c7fbbc1a121a7e43c100.pdf"], "doi": []}, {"id": "2969f822b118637af29d8a3a0811ede2751897b5", "title": "Cascaded Shape Space Pruning for Robust Facial Landmark 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"}], "year": "2013", "pdf": ["http://iip.ict.ac.cn/sites/default/files/publication/2013_ICCV_xwzhao_Cascaded%20Shape%20Space%20Pruning%20for%20Robust%20Facial%20Landmark%20Detection.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhao_Cascaded_Shape_Space_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751238", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.132", "http://doi.org/10.1109/ICCV.2013.132"]}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "4068574b8678a117d9a434360e9c12fe6232dae0", "title": "Automatic Construction of Deformable Models In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Antonakos_Automatic_Construction_of_2014_CVPR_paper.pdf", "http://www.visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2031.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909630", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.234", "http://doi.org/10.1109/CVPR.2014.234"]}, {"id": "7d2dd37e443794f96c4c7b48322503bb4e702984", "title": "Beyond Context: Exploring Semantic Similarity for Tiny Face Detection", "addresses": [{"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": "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": "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451426"]}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "d673d571f467ba23730833befce027b661b62cac", "title": "Multi-View Face Detection and Landmark Localization Based on MTCNN", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623535"]}, {"id": "193debca0be1c38dabc42dc772513e6653fd91d8", "title": "Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/trigeorgis2016mnemonic.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf", "http://research.gold.ac.uk/18543/1/trigeorgis2016mnemonic%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780822", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.453", "http://doi.org/10.1109/CVPR.2016.453"]}, {"id": "d22b378fb4ef241d8d210202893518d08e0bb213", "title": "Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition", "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": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhang_Random_Faces_Guided_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751411", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.300", "http://doi.org/10.1109/ICCV.2013.300"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "32dfd4545c87d9820cc92ca912c7d490794a81d6", "title": "Computer Vision for Driver Assistance", "addresses": [{"name": "Qazvin Islamic Azad University", "source_name": "IT & Computer Sciences, Qazvin Islamic Azad University, Qazvin, Iran", "street_adddress": "Barajin, Qazvin, Qazvin Province, Iran", "lat": "36.32149080", "lng": "50.03791810", "type": "edu", "country": "Iran"}, {"name": "Auckland University of Technology", "source_name": "Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand", "street_adddress": "31 Symonds St, Auckland, 1010, New Zealand", "lat": "-36.85444260", "lng": "174.76761040", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-50551-0"]}, {"id": "45f5ebf76cb908e805662d2d3be7a57d4324a391", "title": "Adaptive cascade threshold learning from negative samples for deformable part models", "addresses": [{"name": "University of Science, Vietnam", "source_name": "University of Science, Vietnam", "street_adddress": "227 \u0110\u01b0\u1eddng Nguy\u1ec5n V\u0103n C\u1eeb, Ph\u01b0\u1eddng 4, Qu\u1eadn 5, H\u1ed3 Ch\u00ed Minh, Vietnam", "lat": "10.76291300", "lng": "106.68217170", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296541", "http://doi.org/10.1109/ICIP.2017.8296541"]}, {"id": "2e5091b5a73325ca52cfd56a6e277a1ddc27d147", "title": "Low-Complexity Approximate Convolutional Neural Networks", "addresses": [{"name": "Universidade Federal de Pernambuco, Recife, Brazil", "source_name": "Departamento de Estat\u00edstica, Signal Processing Group, Universidade Federal de Pernambuco, Recife, Brazil", "street_adddress": "Av. Prof. Moraes Rego, 1235 - Cidade Universit\u00e1ria, Recife - PE, 50670-901, Brazil", "lat": "-8.05244780", "lng": "-34.94972860", "type": "edu", "country": "Brazil"}, {"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8334697"]}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "3ed2ebfd783298a9a2e412529ffabdeb98bd552d", "title": "Modelling of Orthogonal Craniofacial Profiles", "addresses": [{"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c37d/3c53687b2b1654e20a5f67dce6585afc109a.pdf"], "doi": []}, {"id": "bbc8ccd3f62615e3c0ce2c3aee5e4a223d215bbd", "title": "Towards robust automatic affective classification of images using facial expressions for practical applications", "addresses": [{"name": "Xi\u2019an University of Technology", "source_name": "Faculty of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an, China", "street_adddress": "China, Shaanxi, Xi'an, Beilin, Jinhua S Rd, \u91d1\u82b1\u5357\u8def5\u53f7 \u90ae\u7f16 710048", "lat": "34.25183600", "lng": "108.99321800", "type": "edu", "country": "China"}, {"name": "Research & Development, British Broadcasting Corporation (BBC), London, UK", "source_name": "Research & Development, British Broadcasting Corporation (BBC), London, UK", "street_adddress": "56 Wood Ln, White City, London W12 7SB, UK", "lat": "51.51225890", "lng": "-0.22359560", "type": "edu", "country": "United Kingdom"}, {"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2497-5"]}, {"id": "256b46b12ab47283e6ada05fad6a2b501de35323", "title": "Pose estimation using Spectral and Singular Value recomposition", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900275", "http://doi.org/10.1109/ICPR.2016.7900275"]}, {"id": "653878a26cb31bb444539e3d4db11ec7e59dd00e", "title": "Clustering by Pairwise Similarity by QILIN LI", "addresses": [{"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6538/78a26cb31bb444539e3d4db11ec7e59dd00e.pdf"], "doi": []}, {"id": "a1f1120653bb1bd8bd4bc9616f85fdc97f8ce892", "title": "Latent Embeddings for Zero-Shot Classification", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}, {"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08895.pdf"], "doi": []}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "3377d56732c432bf42d6627b0fa25ff91286548c", "title": "Robust Facial Pose Estimation Using Landmark Selection Method for Binocular Stereo Vision", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451443"]}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "title": "2 New Statement for Structured Output Regression Problems", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/891b/10c4b3b92ca30c9b93170ec9abd71f6099c4.pdf"], "doi": []}, {"id": "762311d26be8c774f2ad0ae74e3f12458662dd91", "title": "Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures", "addresses": [{"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}, {"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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103030"]}, {"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"], "doi": []}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "19c0069f075b5b2d8ac48ad28a7409179bd08b86", "title": "Modifying the Memorability of Face Photographs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://cvcl.mit.edu/Papers/Khosla-ModifyingMemorability-ICCV2013.pdf", "http://cvcl.mit.edu/papers/Khosla-ModifyingMemorability-ICCV2013.pdf", "http://people.csail.mit.edu/torralba/publications/iccv2013_khosla.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Khosla_Modifying_the_Memorability_2013_ICCV_paper.pdf", "http://www.wilmabainbridge.com/papers/iccv-2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751509", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.397", "http://doi.org/10.1109/ICCV.2013.397", "http://dspace.mit.edu/openaccess-disseminate/1721.1/90986"]}, {"id": "ea78ab987af09a65b9bb30b3afdd82bb2468f101", "title": "MSFD:Multi-Scale Receptive Field Face Detector", "addresses": [{"name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "source_name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545707"]}, {"id": "08cb294a08365e36dd7ed4167b1fd04f847651a9", "title": "Examining visible articulatory features in clear and conversational speech", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of Kansas", "source_name": "University of Kansas, Lawrence, KS", "street_adddress": "1450 Jayhawk Blvd, Lawrence, KS 66045, USA", "lat": "38.95434390", "lng": "-95.25579610", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f75f/56bb1dcf721449f2fcc3634265f1e08e012c.pdf"], "doi": []}, {"id": "046770df59c49c7ca9a1a4c268176ede2aa89e37", "title": "Multi-feature deep learning for face gender recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7065102", "http://doi.org/10.1109/ITAIC.2014.7065102"]}, {"id": "837e99301e00c2244023a8a48ff98d7b521c93ac", "title": "Local Feature Evaluation for a Constrained Local Model Framework", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b7b7/4e0ec15c22e1c94406c592bbb83c8e865f52.pdf"], "doi": []}, {"id": "6f81178c6f042f5e0b7dc226c1509596dbff63f0", "title": "Subjective rate-distortion optimization in HEVC with perceptual model of multiple faces", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7457929", "http://doi.org/10.1109/VCIP.2015.7457929"]}, {"id": "5cbe1445d683d605b31377881ac8540e1d17adf0", "title": "On 3D face reconstruction via cascaded regression in shape space", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.06161.pdf"], "doi": []}, {"id": "73f341ff68caa9f8802e9e81bfa90d88bbdbd9d2", "title": "Report on the BTAS 2016 Video Person Recognition Evaluation", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"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": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://www.wjscheirer.com/papers/wjs_btas2016_video_challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791198", "http://doi.org/10.1109/BTAS.2016.7791198", "https://doi.org/10.1109/BTAS.2016.7791198"]}, {"id": "0b9db62b26b811e8c24eb9edc37901a4b79a897f", "title": "Structured Face Hallucination", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr13_hallucination.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cvpr13_hallucination_sup.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b099.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yang_Structured_Face_Hallucination_2013_CVPR_paper.pdf", "https://eng.ucmerced.edu/people/cyang35/CVPR13/cvpr13_hallucination.pdf", "https://eng.ucmerced.edu/people/cyang35/CVPR13/cvpr13_poster_v10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618990", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.146", "http://doi.org/10.1109/CVPR.2013.146"]}, {"id": "3b8c830b200f1df8ef705de37cbfe83945a3d307", "title": "Annotated face model-based alignment: a robust landmark-free pose estimation approach for 3D model registration", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0887-6"]}, {"id": "d40c16285d762f7a1c862b8ac05a0fdb24af1202", "title": "Coarse-to-fine facial landmarks localization based on convolutional feature", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8256378", "http://doi.org/10.1109/BESC.2017.8256378"]}, {"id": "bfab7043e206f428f98be47ecc02d506be1148d7", "title": "FaceCAPTCHA: a CAPTCHA that identifies the gender of face images unrecognized by existing gender classifiers", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Olaworks, Inc., Seoul, Republic of Korea", "source_name": "Olaworks, Inc., Seoul, Republic of Korea", "street_adddress": "Seoul, South Korea", "lat": "37.56653500", "lng": "126.97796920", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-013-1422-z"]}, {"id": "32c20afb5c91ed7cdbafb76408c3a62b38dd9160", "title": "Viewing Real-World Faces in 3D", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Hassner_Viewing_Real-World_Faces_2013_ICCV_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/ViewFaces3D/HassnerICCV2013preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751560", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.448", "http://doi.org/10.1109/ICCV.2013.448"]}, {"id": "ed273b5434013dcdb9029c1a9f1718da494a23a2", "title": "Off-Feature Information Incorporated Metric Learning for Face Recognition", "addresses": [{"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8303207", "http://doi.org/10.1109/LSP.2018.2810106"]}, {"id": "7d7be6172fc2884e1da22d1e96d5899a29831ad2", "title": "L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction", "addresses": [{"name": "South China University of China", "source_name": "South China University of China", "street_adddress": "\u534e\u5de5\u7ad9, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04900470", "lng": "113.39715710", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01605.pdf"], "doi": []}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "559645d2447004355c83737a19c9a811b45780f1", "title": "Combining view-based pose normalization and feature transform for cross-pose face recognition", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139114", "http://doi.org/10.1109/ICB.2015.7139114"]}, {"id": "27812db1d2f68611cc284d65d11818082e572008", "title": "Computer vision for the blind: A dataset for experiments on face detection and recognition", "addresses": [{"name": "University of Trieste", "source_name": "DIA, University of Trieste, Italy", "street_adddress": "Via Alfonso Valerio, 6/1, Edificio C8, 34127 Trieste TS, Italy", "lat": "45.66025100", "lng": "13.79458400", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7522323", "http://doi.org/10.1109/MIPRO.2016.7522323"]}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "c3ae4a4c9a9528791e36b64fea8d02b2fced7955", "title": "Automatic multiviewface detection and pose estimationfrom videos based on mixture-of-trees model and optical flow", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888268"]}, {"id": "e287ff7997297ce1197359ed0fb2a0bd381638c9", "title": "Joint-Feature Guided Depth Map Super-Resolution With Face Priors", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.icst.pku.edu.cn/F/course/icb/Pub%20Files/2018/ys_tcyb18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795253", "http://doi.org/10.1109/TCYB.2016.2638856", "https://doi.org/10.1109/TCYB.2016.2638856", "https://www.ncbi.nlm.nih.gov/pubmed/28026798"]}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296314", "http://doi.org/10.1109/ICIP.2017.8296314"]}, {"id": "66425ac80e8c5995f9a680ae8b0f077893d6713b", "title": "An Across-Target Study on Visual Attentions in Facial Expression Recognition", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}, {"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": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s12539-018-0281-8", "https://www.ncbi.nlm.nih.gov/pubmed/29383565"]}, {"id": "a7a3ec1128f920066c25cb86fbc33445ce613919", "title": "Joint facial landmark detection and action estimation based on deep probabilistic random forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305115", "http://doi.org/10.1109/VCIP.2017.8305115"]}, {"id": "6da711d07b63c9f24d143ca3991070736baeb412", "title": "Spatio-temporal constraint for fast face tracking in movies", "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"}, {"name": "Orange Labs International Center, Beijing, China", "source_name": "Orange Labs International Center Beijing, Beijing, 100876, China", "street_adddress": "Beitaipingzhuang, Haidian, Beijing, China, 100876", "lat": "39.96416860", "lng": "116.35725230", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://wuyuebupt.github.io/files/nidc2014.pdf", "http://www1.ece.neu.edu/~yuewu/files/2015/07000295.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7000295"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "64ec02e1056de4b400f9547ce56e69ba8393e2ca", "title": "Multi-RPN Fusion-based Sparse PCA-CNN Approach to Object Detection and Recognition for Robot-aided Visual System", "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8446491"]}, {"id": "2f04ba0f74df046b0080ca78e56898bd4847898b", "title": "Aggregate channel features for multi-view 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"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4023.pdf"], "doi": []}, {"id": "214072c84378802a0a0fde0b93ffb17bc04f3759", "title": "Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos", "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": "2015", "pdf": ["http://www.andrew.cmu.edu/user/kseshadr/CVVT_CVPR_2015_PPT.pdf", "http://www.andrew.cmu.edu/user/kseshadr/CVVT_CVPR_2015_Paper_Camera_Ready.pdf", "http://www.andrew.cmu.edu/user/kseshadr/CVVT_CVPR_2015_Paper_IEEE.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W11/papers/Seshadri_Driver_Cell_Phone_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301397", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301397", "http://doi.org/10.1109/CVPRW.2015.7301397"]}, {"id": "92115b620c7f653c847f43b6c4ff0470c8e55dab", "title": "Training Deformable Object Models for Human Detection Based on Alignment and Clustering", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a77c/798d06060ece81c620458e4586819e75ae15.pdf"], "doi": []}, {"id": "14ce7635ff18318e7094417d0f92acbec6669f1c", "title": "DeepFace: Closing the Gap to Human-Level Performance in Face Verification", "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": "2014", "pdf": ["http://data.over-blog-kiwi.com/0/90/51/05/20140323/ob_600872_deepface.pdf", "http://static1.trouw.nl/static/asset/2014/deepface_4361.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface_11_01_2013.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface_prev.pdf", "http://www.cs.tau.ac.il/~wolf/papers/paper_1819_supplementary_deepface.pdf", "http://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf", "http://www.cs.toronto.edu/~ranzato/publications/taigman_supp_material_cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Taigman_DeepFace_Closing_the_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909616", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.220", "http://doi.org/10.1109/CVPR.2014.220"]}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "title": "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03887.pdf"], "doi": []}, {"id": "4cdae53cebaeeebc3d07cf6cd36fecb2946f3e56", "title": "Photorealistic Facial Texture Inference Using Deep Neural Networks", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00523.pdf"], "doi": []}, {"id": "dcdece0d0ee382e2f388dcd7f5bd9721bb7354d6", "title": "Facial Skin Beautification Using Adaptive Region-Aware Masks", "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": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6781552", "http://doi.org/10.1109/TCYB.2014.2311033", "https://www.ncbi.nlm.nih.gov/pubmed/24710839"]}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "33c3702b0eee6fc26fc49f79f9133f3dd7fa3f13", "title": "Machine learning techniques for automated analysis of facial expressions", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/33c3/702b0eee6fc26fc49f79f9133f3dd7fa3f13.pdf"], "doi": []}, {"id": "b7752ffc2273b11b0afd9a360fb83a80a14d6b7e", "title": "Automatic Detection and Recognition of Individuals in Patterned Species", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["http://ecmlpkdd2017.ijs.si/papers/paperID663.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-71273-4_3"]}, {"id": "1606b1475e125bba1b2d87bcf1e33b06f42c5f0d", "title": "A convolutional neural network cascade for face detection", "addresses": [{"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}, {"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://personal.stevens.edu/~hli18/papers/CVPR2015_CasCNN.pdf", "http://soc.fudan.edu.cn/vip/attachments/download/3893/CVPR2015-A-Convolutional-Neural-Network-Cascade-for-Face-Detection.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2015_cascnn.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_096.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_096_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_096_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Li_A_Convolutional_Neural_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299170", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299170", "http://doi.org/10.1109/CVPR.2015.7299170"]}, {"id": "27a299b834a18e45d73e0bf784bbb5b304c197b3", "title": "Social Role Discovery in Human Events", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://ai.stanford.edu/~vigneshr/cvpr_13/cvpr13_social_roles.pdf", "http://ai.stanford.edu/~vigneshr/papers/334-sup.pdf", "http://ai.stanford.edu/~vigneshr/papers/334.pdf", "http://cs.stanford.edu/groups/vision/pdf/334.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c475.pdf", "http://vision.stanford.edu/pdf/334.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ramanathan_Social_Role_Discovery_2013_CVPR_paper.pdf", "http://www.dtic.mil/dtic/tr/fulltext/u2/1037390.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619164", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.320", "http://doi.org/10.1109/CVPR.2013.320"]}, {"id": "bcd162862b6d3a56b474039b2588a8f948d59fe0", "title": "Face detection and tracking system with block-matching, meanshift and camshift algorithms and Kalman filter", "addresses": [{"name": "ENET'COM-SFAX, Tunisia", "source_name": "ENET'COM-SFAX, Tunisia", "street_adddress": "Technopole Sfax, Route Tunis km 11, cite Ons\u060c Sfax, Tunisia", "lat": "34.83847790", "lng": "10.75594230", "type": "edu", "country": "Tunisia"}, {"name": "Informatics Laboratory of Paris6 (LIP6)", "source_name": "Informatics Laboratory of Paris6 (LIP6)", "street_adddress": "4 Place Jussieu, 75005 Paris, France", "lat": "48.84695400", "lng": "2.35435720", "type": "edu", "country": "France"}, {"name": "Polytechnic Military Institute, Bp17 Bordje El Bahri Algeria", "source_name": "Polytechnic Military Institute, Bp17 Bordje El Bahri Algeria", "street_adddress": "Bordj El Bahri, Algeria", "lat": "36.79014880", "lng": "3.25645030", "type": "edu", "country": "Algeria"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8314915"]}, {"id": "181708b09bde7f4904f8fd92b3668d76e7aff527", "title": "Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666275"]}, {"id": "23f18899037c77efea58cbde7b029225af7e0db9", "title": "Face alignment using structured random regressors combined with statistical shape model fitting", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727052", "http://doi.org/10.1109/IVCNZ.2013.6727052"]}, {"id": "632441c9324cd29489cee3da773a9064a46ae26b", "title": "Video-based Cardiac Physiological Measurements Using Joint Blind Source Separation Approaches", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6324/41c9324cd29489cee3da773a9064a46ae26b.pdf"], "doi": []}, {"id": "132f88626f6760d769c95984212ed0915790b625", "title": "Exploring Entity Resolution for Multimedia Person Identification", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/132f/88626f6760d769c95984212ed0915790b625.pdf"], "doi": []}, {"id": "434f1442533754b3098afd4e24abf1e3792b24db", "title": "Over-the-shoulder shot detection in art films", "addresses": [{"name": "University of Brescia", "source_name": "University of Brescia", "street_adddress": "Brescia University, West 7th Street, Owensboro, Daviess County, Kentucky, 42303, USA", "lat": "37.76893740", "lng": "-87.11138590", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153627", "http://doi.org/10.1109/CBMI.2015.7153627"]}, {"id": "65f25a28629ecfe8bae42a33883a8b9ab3c7d047", "title": "Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose", "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"}, {"name": "Information Directorate, Air Force Research Laboratory, Rome, NY, USA", "source_name": "Information Directorate, Air Force Research Laboratory, Rome, NY, USA", "street_adddress": "26 Electronics Parkway, Rome, NY 13441, USA", "lat": "43.22135160", "lng": "-75.40855770", "type": "mil", "country": "United States"}], "year": "2015", "pdf": ["https://abhijithpunnappurath.github.io/FR_TIP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7058443", "http://doi.org/10.1109/TIP.2015.2412379", "https://www.ncbi.nlm.nih.gov/pubmed/25775493"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "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": "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": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "3ac0aefb379dedae4a6054e649e98698b3e5fb82", "title": "An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "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/1802.02137.pdf"], "doi": []}, {"id": "5990c2e78394388e8a81a4b52baf35c13b22d2c9", "title": "Smartphone posture monitoring system to prevent unhealthy neck postures", "addresses": [{"name": "King Mongkut's University of Technology Thonburi", "source_name": "Data and Knowledge Engineering Laboratory, King Mongkut's University of Technology Thonburi, Bangkok, Thailand", "street_adddress": "126 Pracha Uthit Rd, Khwaeng Bang Mot, Khet Thung Khru, Krung Thep Maha Nakhon 10140, Thailand", "lat": "13.65102480", "lng": "100.49538020", "type": "edu", "country": "Thailand"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7219819"]}, {"id": "ef3f5a972e91d5f2f3097b0dc1fba7f2890980d0", "title": "Anchor Free Network for Multi-Scale Face Detection", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545814"]}, {"id": "54e988bc0764073a5db2955705d4bfa8365b7fa9", "title": "Emotion recognition in the wild challenge (EmotiW) challenge and workshop summary", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531749"]}, {"id": "1ca815327e62c70f4ee619a836e05183ef629567", "title": "Global supervised descent method", "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": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048_ext.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298882", "http://doi.org/10.1109/CVPR.2015.7298882"]}, {"id": "647b2e162e9c476728172f62463a8547d245cde3", "title": "Structure and appearance preserving network flow for multi-object tracking", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899898", "http://doi.org/10.1109/ICPR.2016.7899898"]}, {"id": "b1245ada9360b1b9fe90badea088a8685d1a44da", "title": "Feature Extraction and Fusion Using Deep Convolutional Neural Networks for 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": "2017", "pdf": ["http://downloads.hindawi.com/journals/mpe/2017/1376726.pdf"], "doi": ["https://doi.org/10.1155/2017%2F1376726"]}, {"id": "3c6cac7ecf546556d7c6050f7b693a99cc8a57b3", "title": "Robust facial landmark detection 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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3c6c/ac7ecf546556d7c6050f7b693a99cc8a57b3.pdf"], "doi": []}, {"id": "5b59e6b980d2447b2f3042bd811906694e4b0843", "title": "Two-stage cascade model for unconstrained face detection", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5b59/e6b980d2447b2f3042bd811906694e4b0843.pdf"], "doi": []}, {"id": "aee3e3b9ac91fc90dc6db127f27764d873b29a89", "title": "Face Detection by Aggregating Visible Components", "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"}], "year": "2016", "pdf": ["https://davidsonic.github.io/index/accv/accv2016finalpaper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-54427-4_24"]}, {"id": "a0021e3bbf942a88e13b67d83db7cf52e013abfd", "title": "Human concerned object detecting in video", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a002/1e3bbf942a88e13b67d83db7cf52e013abfd.pdf"], "doi": []}, {"id": "27961bc8173ac84fdbecacd01e5ed6f7ed92d4bd", "title": "Automatic multi-view face recognition via 3D model based pose regularization", "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": "2013", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/NiinumaHanJain_MultiviewFaceRecognition_PoseRegularization_BTAS13.pdf", "http://www.cse.msu.edu/~hhan/paper/NiinumaHanJain_MultiviewFaceRecognition_PoseRegularization_BTAS13.pdf", "http://www.csis.pace.edu/~ctappert/dps/2013BTAS/Papers/Paper%2056/BTAS2013_MultiViewFR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6712735", "http://doi.org/10.1109/BTAS.2013.6712735"]}, {"id": "64ab36d095764c48140ef5aaaf6932cc93bceec9", "title": "Multi-view Facial Expression Recognition Based on Fusing Low-level and Mid-level Features", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8483908"]}, {"id": "d511e903a882658c9f6f930d6dd183007f508eda", "title": "Privileged information-based conditional regression forest for facial feature detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553766.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553766", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553766", "http://doi.org/10.1109/FG.2013.6553766"]}, {"id": "0b835284b8f1f45f87b0ce004a4ad2aca1d9e153", "title": "Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos", "addresses": [{"name": "Indiana University Bloomington", "source_name": "Indiana University Bloomington", "street_adddress": "Indiana University Bloomington, East 17th Street, Bloomington, Monroe County, Indiana, 47408, USA", "lat": "39.17720475", "lng": "-86.51540030", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kapadia_Cartooning_for_Enhanced_CVPR_2017_paper.pdf", "http://vision.soic.indiana.edu/papers/cartooning2017cvcops.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014909", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.175", "http://doi.org/10.1109/CVPRW.2017.175"]}, {"id": "b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4", "title": "Autonomous Learning Framework Based on Online Hybrid Classifier for Multi-view Object Detection in Video", "addresses": [{"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "University of Science and Technology", "source_name": "University of Science and Technology, Tehran, Iran", "street_adddress": "Tehran, Tehran Province, Iran", "lat": "35.74247400", "lng": "51.50231030", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cbb4/4f0a4b5d76152b90a24a1470cb4cc860587d.pdf"], "doi": []}, {"id": "e3b324101157daede3b4d16bdc9c2388e849c7d4", "title": "Robust Real-Time 3 D Face Tracking from RGBD Videos under Extreme Pose , Depth , and Expression Variations", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e3b3/24101157daede3b4d16bdc9c2388e849c7d4.pdf"], "doi": []}, {"id": "4bd3de97b256b96556d19a5db71dda519934fd53", "title": "Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"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"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Wen_Latent_Factor_Guided_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wen_Latent_Factor_Guided_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780898", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.529", "http://doi.org/10.1109/CVPR.2016.529"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "31003ba1cf9f77ec5b7038996d2ce999fa04d0ea", "title": "An intelligent system for online exam monitoring", "addresses": [{"name": "Amrita University", "source_name": "Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, India", "street_adddress": "Amritanagar, Ettimadai, Coimbatore, Tamil Nadu 641112, India", "lat": "10.90267910", "lng": "76.90062790", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7845315"]}, {"id": "8d61ba91ace49a2b2cdd38fcc7e8ef7a99039705", "title": "Simultaneous Facial Landmark and 3D Action Estimation Based on Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451200", "http://doi.org/10.1109/ICIP.2018.8451200"]}, {"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"], "doi": []}, {"id": "cc2eaa182f33defbb33d69e9547630aab7ed9c9c", "title": "Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce2e/e807a63bbdffa530c80915b04d11a7f29a21.pdf"], "doi": []}, {"id": "278c9b47199701d75a6eb9f4cff9ea88fc7fe63e", "title": "Automatic Facial Attractiveness Prediction by Deep Multi-Task Learning", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "TuSimple, San Diego, USA", "source_name": "TuSimple, San Diego, USA", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545033", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545033", "http://doi.org/10.1109/ICPR.2018.8545033"]}, {"id": "529b1f33aed49dbe025a99ac1d211c777ad881ec", "title": "Fast and exact bi-directional fitting of active appearance models", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26776/01/Pantic_Fast_and_Exact_Bi-Directional_Fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/kossaifi_bidirectional_icip.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/kossaifi_bidirectional_icip.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350977", "http://doi.org/10.1109/ICIP.2015.7350977"]}, {"id": "3f12701449a82a5e01845001afab3580b92da858", "title": "Joint Object Class Sequencing and Trajectory Triangulation (JOST)", "addresses": [{"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e4f5/2f5e116f0cc486d033e4b8fc737944343db7.pdf"], "doi": []}, {"id": "4140498e96a5ff3ba816d13daf148fffb9a2be3f", "title": "Constrained Ensemble Initialization for Facial Landmark Tracking in Video", "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": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Li_Constrained.pdf", "https://www.cl.cam.ac.uk/~tb346/pub/papers/fg2017_ensemble.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961809", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.88", "http://doi.org/10.1109/FG.2017.88"]}, {"id": "15252b7af081761bb00535aac6bd1987391f9b79", "title": "Estimation of eye gaze direction angles based on active appearance models", "addresses": [{"name": "National Technical University of Athens", "source_name": "National Technical University of Athens", "street_adddress": "\u0395\u03b8\u03bd\u03b9\u03ba\u03cc \u039c\u03b5\u03c4\u03c3\u03cc\u03b2\u03b9\u03bf \u03a0\u03bf\u03bb\u03c5\u03c4\u03b5\u03c7\u03bd\u03b5\u03af\u03bf, \u03a3\u03c4\u03bf\u03c5\u03c1\u03bd\u03ac\u03c1\u03b7, \u039c\u03bf\u03c5\u03c3\u03b5\u03af\u03bf, \u0391\u03b8\u03ae\u03bd\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u0391\u03b8\u03b7\u03bd\u03b1\u03af\u03c9\u03bd, \u03a0.\u0395. \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03bf\u03cd \u03a4\u03bf\u03bc\u03ad\u03b1 \u0391\u03b8\u03b7\u03bd\u03ce\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0391\u03c4\u03c4\u03b9\u03ba\u03ae\u03c2, \u0391\u03c4\u03c4\u03b9\u03ba\u03ae, 11250, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "37.98782705", "lng": "23.73179733", "type": "edu", "country": "Greece"}], "year": "2015", "pdf": ["http://cvsp.cs.ntua.gr/publications/confr/KoutrasMaragos_EyeGaze_ICIP15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351237", "http://doi.org/10.1109/ICIP.2015.7351237"]}, {"id": "97e569159d5658760eb00ca9cb662e6882d2ab0e", "title": "Correlation Filters for Object Alignment", "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": "2013", "pdf": ["http://consortium.ri.cmu.edu/data/CarAlignment/cvpr_2013.pdf", "http://hal.cse.msu.edu/pdfs/papers/cvpr-2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c291.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Boddeti_Correlation_Filters_for_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619141", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.297", "http://doi.org/10.1109/CVPR.2013.297"]}, {"id": "b1546f723d11f95ee50b1db1bdce8de8de85a54f", "title": "Facial depth map enhancement via neighbor embedding", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"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": "2016", "pdf": ["https://vision.unipv.it/CV/materiale2016-17/4th%20Choice/0104.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899808", "http://doi.org/10.1109/ICPR.2016.7899808"]}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "7dc498d45f9fcb97acee552c6f587b65d5122c35", "title": "Face detection and landmark localization using Bilayer Tree Structured Model", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351618", "http://doi.org/10.1109/ICIP.2015.7351618"]}, {"id": "27846b464369095f4909f093d11ed481277c8bba", "title": "Real-Time Face Detection and Recognition in Complex Background", "addresses": [{"name": "Illinois Institute of Technology", "source_name": "Illinois Institute of Technology", "street_adddress": "Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA", "lat": "41.83619630", "lng": "-87.62655913", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2784/6b464369095f4909f093d11ed481277c8bba.pdf"], "doi": []}, {"id": "9048732c8591a92a1f4f589b520a733f07578f80", "title": "Improved CNN-based facial landmarks tracking via ridge regression at 150 Fps on mobile devices", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301921", "http://doi.org/10.1109/CISP-BMEI.2017.8301921"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "6c58e3a8209fef0e28ca2219726c15ea5f284f4f", "title": "Temporally subsampled detection for accurate and efficient face tracking and diarization", "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": "2016", "pdf": ["http://publications.idiap.ch/downloads/papers/2016/Le_ICPR_2016.pdf", "http://www.idiap.ch/~odobez/publications/LeHeiliWuOdobez-ICPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899896", "http://doi.org/10.1109/ICPR.2016.7899896", "https://doi.org/10.1109/ICPR.2016.7899896"]}, {"id": "a2429cc2ccbabda891cc5ae340b24ad06fcdbed5", "title": "Discovering the Signatures of Joint Attention in Child-Caregiver Interaction", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e12a/0f0bca1624965386ac9cf95f711c90441553.pdf"], "doi": []}, {"id": "3726d17fd7e57c75b8b9f7f57bdec9054534be5e", "title": "A two-stage facial landmark localization method", "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": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7498512"]}, {"id": "72e603083c8b1cfa09200eb333927e8ea848fbc8", "title": "Dirichlet-tree cascaded Hough forests for continuous head pose estimation", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Normal University", "source_name": "Normal University", "street_adddress": "\u4e91\u5357\u5e08\u8303\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05805090", "lng": "102.69552410", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7003826"]}, {"id": "06d7ef72fae1be206070b9119fb6b61ce4699587", "title": "On One-Shot Similarity Kernels: Explicit Feature Maps and Properties", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Patras", "source_name": "University of Patras", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u03a0\u03b1\u03c4\u03c1\u03ce\u03bd, \u039b\u03b5\u03c9\u03c6. \u0399\u03c0\u03c0\u03bf\u03ba\u03c1\u03ac\u03c4\u03bf\u03c5\u03c2, \u03ba. \u03a1\u03af\u03bf\u03c5 (\u0391\u03b3\u03af\u03bf\u03c5 \u0393\u03b5\u03c9\u03c1\u03b3\u03af\u03bf\u03c5 \u03a1\u03af\u03bf\u03c5), \u03a0\u03ac\u03c4\u03c1\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a0\u03b1\u03c4\u03c1\u03ad\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0391\u03c7\u03b1\u0390\u03b1\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0394\u03c5\u03c4\u03b9\u03ba\u03ae\u03c2 \u0395\u03bb\u03bb\u03ac\u03b4\u03b1\u03c2, \u03a0\u03b5\u03bb\u03bf\u03c0\u03cc\u03bd\u03bd\u03b7\u03c3\u03bf\u03c2, \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u0395\u03bb\u03bb\u03ac\u03b4\u03b1 \u03ba\u03b1\u03b9 \u0399\u03cc\u03bd\u03b9\u03bf, 26443, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "38.28994820", "lng": "21.78864690", "type": "edu", "country": "Greece"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/one_shot_kernel.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zafeiriou_On_One-Shot_Similarity_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751408", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.297", "http://doi.org/10.1109/ICCV.2013.297"]}, {"id": "58d43e32660446669ff54f29658961fe8bb6cc72", "title": "Automatic detection of obstructive sleep apnea using facial images", "addresses": [{"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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7950504", "http://doi.org/10.1109/ISBI.2017.7950504"]}, {"id": "63367972e1ada96dd47211d86ddee83f65ca1880", "title": "Unsupervised face image retrieval using adjacent weighted component-based patches", "addresses": [{"name": "Multimedia University", "source_name": "Multimedia University", "street_adddress": "Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia", "lat": "2.92749755", "lng": "101.64185301", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7824069"]}, {"id": "f4ba07d2ae6c9673502daf50ee751a5e9262848f", "title": "Real-time multi-view facial landmark detector learned by the structured output SVM", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.dgcv.nii.ac.jp/Publications/Papers/2015/BWILD2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284810", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284810", "http://doi.org/10.1109/FG.2015.7284810"]}, {"id": "8fe5feeaa72eddc62e7e65665c98e5cb0acffa87", "title": "Hierarchical committee of deep convolutional neural networks for robust facial expression recognition", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s12193-015-0209-0"]}, {"id": "d8896861126b7fd5d2ceb6fed8505a6dff83414f", "title": "In-plane Rotational Alignment of Faces by Eye and Eye-pair Detection", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d889/6861126b7fd5d2ceb6fed8505a6dff83414f.pdf"], "doi": []}, {"id": "5aad56cfa2bac5d6635df4184047e809f8fecca2", "title": "A visual dictionary attack on Picture Passwords", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/picture_password.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738916", "http://doi.org/10.1109/ICIP.2013.6738916"]}, {"id": "46b7ee97d7dfbd61cc3745e8dfdd81a15ab5c1d4", "title": "3D facial geometric features for constrained local model", "addresses": [{"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://doc.utwente.nl/95232/1/Pantic_3D_facial_geometric_features.pdf", "http://eprints.eemcs.utwente.nl/25826/01/Pantic_3D_facial_geometric_features.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/3d_local_features.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025285", "http://doi.org/10.1109/ICIP.2014.7025285"]}, {"id": "d6e08345ba293565086cb282ba08b225326022fc", "title": "Occlusion-Aware Fragment-Based Tracking With Spatial-Temporal Consistency", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.projectsgoal.com/download_projects/image-processing/image-processing-GIM00018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490397", "http://doi.org/10.1109/TIP.2016.2580463", "https://doi.org/10.1109/TIP.2016.2580463", "https://www.ncbi.nlm.nih.gov/pubmed/27323362"]}, {"id": "c049912e3ac45b1e2bc3432db2828754a0c66057", "title": "Mining a Deep And-OR Object Semantics from Web Images via Cost-Sensitive Question-Answer-Based Active Annotations", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c049/912e3ac45b1e2bc3432db2828754a0c66057.pdf"], "doi": []}, {"id": "27c6cd568d0623d549439edc98f6b92528d39bfe", "title": "Regressive Tree Structured Model for Facial 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": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410796", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.439", "http://doi.org/10.1109/ICCV.2015.439"]}, {"id": "085ceda1c65caf11762b3452f87660703f914782", "title": "Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting", "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": "2016", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780823", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.454", "http://doi.org/10.1109/CVPR.2016.454"]}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "addresses": [{"name": "North Carolina Univ., Charlotte, NC, USA", "source_name": "North Carolina Univ., Charlotte, NC, USA", "street_adddress": "9201 University City Blvd, Charlotte, NC 28223, USA", "lat": "35.30709290", "lng": "-80.73516400", "type": "edu", "country": "United States"}, {"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"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"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": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "a52d9e9daf2cb26b31bf2902f78774bd31c0dd88", "title": "Understanding and Designing Convolutional Networks for Local Recognition Problems", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a52d/9e9daf2cb26b31bf2902f78774bd31c0dd88.pdf"], "doi": []}, {"id": "488a61e0a1c3768affdcd3c694706e5bb17ae548", "title": "Fitting a 3D Morphable Model to Edges: A Comparison Between Hard and Soft Correspondences", "addresses": [{"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.01125.pdf"], "doi": []}, {"id": "fb87045600da73b07f0757f345a937b1c8097463", "title": "Reflective Regression of 2D-3D Face Shape Across Large Pose", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c54/2fef80a35a4f930e5c82040b52c58e96ce87.pdf"], "doi": []}, {"id": "b9237a613306050cd6d194c71c58a7f85bfb70e9", "title": "Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment", "addresses": [{"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "Kiwi Technology Inc., Nanjing, China", "source_name": "Kiwi Technology Inc., Nanjing, China", "street_adddress": "Nanjing, Jiangsu, China", "lat": "32.06025500", "lng": "118.79687700", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545898", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545898", "http://doi.org/10.1109/ICPR.2018.8545898"]}, {"id": "cad2bd940e7580490da9cc739e597d029e166504", "title": "Salient-points-guided face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0555-8"]}, {"id": "90ddf1aabf1c73b5fc45254a2de46e53a0bde857", "title": "An improved eLBPH method for facial identity recognition: Expression-specific weighted local binary pattern histogram", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418917", "http://doi.org/10.1109/ROBIO.2015.7418917"]}, {"id": "46551095a2cc4976d6be0165c31c37b0c5638719", "title": "Multimodal assistive technologies for depression diagnosis and monitoring", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Ministry of Higher Education, Riyadh, Kingdom of Saudi Arabia", "source_name": "Ministry of Higher Education, Riyadh, Kingdom of Saudi Arabia", "street_adddress": "\u0627\u0644\u0637\u0627\u0628\u0642 \u0627\u0644\u0633\u0627\u0628\u0639 \u060c \u0627\u0644\u062b\u0627\u0645\u0646 \u060c \u0627\u0644\u062a\u0627\u0633\u0639\u060c King Fahd Branch Rd, Al Olaya, Riyadh 11351, Saudi Arabia", "lat": "24.70573950", "lng": "46.67466470", "type": "gov", "country": "Saudi Arabia"}, {"name": "National ICT Australia, Eveleigh, Australia", "source_name": "National ICT Australia, Eveleigh, Australia", "street_adddress": "5/13 Garden St, Eveleigh NSW 2015, Australia", "lat": "-33.89543780", "lng": "151.19721330", "type": "edu", "country": "Australia"}, {"name": "Queensland Institute of Medical Research, Brisbane, Australia", "source_name": "Queensland Institute of Medical Research, Brisbane, Australia", "street_adddress": "300 Herston Rd, Brisbane City QLD 4006, Australia", "lat": "-27.44956100", "lng": "153.02726600", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/wp-content/uploads/file/roland/publications/Journal/JMUI/joshi_goecke_alghowinem_dhall_wagner_epps_parker_breakspear_JMUI2013_MultimodalAssistiveTechnologiesForDepressionDiagnosisAndMonitoring.pdf", "http://users.cecs.anu.edu.au/~adhall/Joshi_MultiModal_Depression_Analysis.pdf"], "doi": ["http://doi.org/10.1007/s12193-013-0123-2"]}, {"id": "6bacd4347f67ec60a69e24ed7cc0ac8073004e6f", "title": "Kinship classification based on discriminative facial patches", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7051528", "http://doi.org/10.1109/VCIP.2014.7051528"]}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "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"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "b9c262838db89597a7f9c0cb937cb7d671ab4544", "title": "Accelerating Proposal Generation Network for Fast Face Detection on Mobile Devices", "addresses": [{"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451737"]}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "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": "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": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "37c8514df89337f34421dc27b86d0eb45b660a5e", "title": "Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Uricar_Facial_Landmark_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406476", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.127", "http://doi.org/10.1109/ICCVW.2015.127"]}, {"id": "3bebb79f8f49aa11dd4f6d60d903172db02bf4f3", "title": "Task-based control of articulated human pose detection for OpenVL", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://hct.ece.ubc.ca/publications/pdf/oleinikov-etal-wacv2014.pdf", "http://www.cs.ubc.ca/~little/links/papers/openvl.pdf", "http://www.freeviewpointvideo.co.uk/Publications/Papers/Oleinikov14WACV.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836036", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836036", "http://doi.org/10.1109/WACV.2014.6836036"]}, {"id": "1afdedba774f6689eb07e048056f7844c9083be9", "title": "Markov Random Field Structures for Facial Action Unit Intensity Estimation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/sandbach2013markov.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W22/papers/Sandbach_Markov_Random_Field_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755969"]}, {"id": "2f5e057e35a97278a9d824545d7196c301072ebf", "title": "Capturing Long-Tail Distributions of Object Subcategories", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/ZhuAR_CVPR_2014/ZhuAR_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhu_Capturing_Long-tail_Distributions_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~xzhu/paper/poster_cvpr14_longtail.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909517", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.122", "http://doi.org/10.1109/CVPR.2014.122"]}, {"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"], "doi": []}, {"id": "614079f1a0d0938f9c30a1585f617fa278816d53", "title": "Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02374.pdf"], "doi": []}, {"id": "af29ad70ab148c83e1faa8b3098396bc1cd87790", "title": "Unconstrained face detection: a Deep learning and Machine learning combined approach", "addresses": [{"name": "Solapur University", "source_name": "Solapur University, N.B.N.Sinhgad College of Engineering, Kegoan, Solpaur, India", "street_adddress": "Gat No. 38/1 B, Solapur - Pune Hwy, Kegaon, Maharashtra 413255, India", "lat": "17.72782300", "lng": "75.85033550", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s40012-016-0149-1"]}, {"id": "8e92168860d8c6591a0c088573629e4d167f5947", "title": "Look at the Driver, Look at the Road: No Distraction! No Accident!", "addresses": [{"name": "The University of Auckland", "source_name": "Embedded Systems Research Group, The University of Auckland, Auckland, New Zealand", "street_adddress": "UniServices House, Level, 6/70 Symonds St, Grafton, Auckland 1010, New Zealand", "lat": "-36.85604780", "lng": "174.76640670", "type": "edu", "country": "New Zealand"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Rezaei_Look_at_the_2014_CVPR_paper.pdf", "https://researchspace.auckland.ac.nz/bitstream/handle/2292/24243/CVPR-2014.pdf;jsessionid=8D2A9288450EAE2022D172D14C0D39CC?sequence=12"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909418", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.24", "http://doi.org/10.1109/CVPR.2014.24"]}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "5b6bed112e722c0629bcce778770d1b28e42fc96", "title": "Can Your Eyes Tell Me How You Think? A Gaze Directed Estimation of the Mental Activity", "addresses": [{"name": "University \u201cPolitehnica\u201d of Bucharest", "source_name": "LAPI & Natural Computing Labs, University \u201cPolitehnica\u201d of Bucharest, 061071, Romania", "street_adddress": "Bucharest, Romania", "lat": "44.42676740", "lng": "26.10253840", "type": "edu", "country": "Romania"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5b6b/ed112e722c0629bcce778770d1b28e42fc96.pdf"], "doi": []}, {"id": "2059d2fecfa61ddc648be61c0cbc9bc1ad8a9f5b", "title": "Co-Localization of Audio Sources in Images Using Binaural Features and Locally-Linear Regression", "addresses": [{"name": "GIPSA-lab", "source_name": "GIPSA-lab, BP 46 - 38402 St Martin d'Heres - France", "street_adddress": "11 Rue des Math\u00e9matiques, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19344150", "lng": "5.76631150", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1408.2700.pdf"], "doi": []}, {"id": "ad37d01c4787d169daff7da52e80e2018aab6358", "title": "Fast and Exact Newton and Bidirectional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "The University of Notthingham", "source_name": "The University of Notthingham, Nottingham, U.K.", "street_adddress": "Nottingham NG7 2RD, UK", "lat": "52.93863600", "lng": "-1.19515820", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/bidirectional_newton_aam.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/newton_and_bidirectional_aam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7792677", "http://doi.org/10.1109/TIP.2016.2642828", "https://www.ncbi.nlm.nih.gov/pubmed/28026767", "https://www.wikidata.org/entity/Q48029365"]}, {"id": "4dd71a097e6b3cd379d8c802460667ee0cbc8463", "title": "Multi-view facial landmark detector learned by the Structured Output SVM", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/uricar/Uricar-BWILD2015.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.02.004"]}, {"id": "496074fcbeefd88664b7bd945012ca22615d812e", "title": "Driver Distraction Using Visual-Based Sensors and Algorithms", "addresses": [{"name": "University of Oviedo", "source_name": "University of Oviedo, Gij\u00f3n, Spain", "street_adddress": "Campus Universitario, 33203 Gij\u00f3n, Asturias, Spain", "lat": "43.52348240", "lng": "-5.62492300", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4960/74fcbeefd88664b7bd945012ca22615d812e.pdf"], "doi": []}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "17a85799c59c13f07d4b4d7cf9d7c7986475d01c", "title": "Extending Procrustes Analysis: Building Multi-view 2-D Models from 3-D Human Shape Samples", "addresses": [{"name": "Universitat Polit\u00e8cnica de Catalunya, Barcelona, Spain", "source_name": "GREC Research Group, Universitat Polit\u00e8cnica de Catalunya, Barcelona, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/17a8/5799c59c13f07d4b4d7cf9d7c7986475d01c.pdf"], "doi": []}, {"id": "1989a1f9ce18d8c2a0cee3196fe6fa363aab80c2", "title": "Robust online face tracking-by-detection", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://www.es.ele.tue.nl/~sander/publications/icme16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552914", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552914", "http://doi.org/10.1109/ICME.2016.7552914"]}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark 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": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "a812368fe1d4a186322bf72a6d07e1cf60067234", "title": "Gaussian processes for modeling of facial expressions", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a812/368fe1d4a186322bf72a6d07e1cf60067234.pdf"], "doi": []}, {"id": "1c25a3c8ef3e2c4dbff337aa727d13f5eba40fb2", "title": "Artistic stylization of face photos based on a single exemplar", "addresses": [{"name": "Memorial University of Newfoundland", "source_name": "Memorial University of Newfoundland", "street_adddress": "Memorial University of Newfoundland, Overpass, St. John's, Newfoundland and Labrador, A1B 5S7, Canada", "lat": "47.57272510", "lng": "-52.73305444", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-016-1290-4", "https://doi.org/10.1007/s00371-016-1290-4"]}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"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"}, {"name": "Chongqing Medical University", "source_name": "College of Medical Informatics, Chongqing Medical University, Chongqing, China", "street_adddress": "China, Chongqing, Yuzhong, \u6e1d\u5dde\u8def", "lat": "29.53547500", "lng": "106.50451100", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.03687.pdf"], "doi": []}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "174930cac7174257515a189cd3ecfdd80ee7dd54", "title": "Multi-view Face Detection Using Deep Convolutional Neural Networks", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02766.pdf"], "doi": []}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images 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": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "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"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "5fa6f72d3fe16f9160d221e28da35c1e67a5d951", "title": "A 700fps optimized coarse-to-fine shape searching based hardware accelerator for face alignment", "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": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3062182"]}, {"id": "cf9732deb856b45aa7a9b0e90bde885d7d8a16bd", "title": "ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection", "addresses": [{"name": "University of Illinois at Chicago", "source_name": "University of Illinois at Chicago", "street_adddress": "University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA", "lat": "41.86898915", "lng": "-87.64856256", "type": "edu", "country": "United States"}, {"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": "2017", "pdf": ["https://arxiv.org/pdf/1710.07735.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272722", "http://doi.org/10.1109/BTAS.2017.8272722"]}, {"id": "8a3c5507237957d013a0fe0f082cab7f757af6ee", "title": "Facial Landmark Detection by Deep Multi-task Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf"], "doi": []}, {"id": "2cf57aeef8c93d293506a2f7062cac924943eb67", "title": "Trading robust representations for sample complexity through self-supervised visual experience", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2cf5/7aeef8c93d293506a2f7062cac924943eb67.pdf"], "doi": []}, {"id": "fb9ad920809669c1b1455cc26dbd900d8e719e61", "title": "3 D Gaze Estimation from Remote RGB-D Sensors TH\u00c8SE", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fb9a/d920809669c1b1455cc26dbd900d8e719e61.pdf"], "doi": []}, {"id": "0a68747d001aba014acd3b6ec83ba9534946a0da", "title": "Automatic Group Happiness Intensity Analysis", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Dhall_Goecke_Gedeon_TAC2015_AutomaticGroupHappinessIntensityAnalysis.pdf", "http://www.chennaisunday.com/2015DOTNET/Automatic%20Group%20Happiness%20Intensity%20Analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7029085", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2015.2397456", "http://doi.org/10.1109/TAFFC.2015.2397456"]}, {"id": "c5ea084531212284ce3f1ca86a6209f0001de9d1", "title": "Audio-visual speech processing for multimedia localisation", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ea/084531212284ce3f1ca86a6209f0001de9d1.pdf"], "doi": []}, {"id": "2e942d19333651bf6012374ea9e78d6937fd33ac", "title": "Detecting Faces Using Region-based Fully Convolutional Networks", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05256.pdf"], "doi": []}, {"id": "11ac88aebe0230e743c7ea2c2a76b5d4acbfecd0", "title": "Hybrid Cascade Model for Face Detection in the Wild Based on Normalized Pixel Difference and a Deep Convolutional Neural Network", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/11ac/88aebe0230e743c7ea2c2a76b5d4acbfecd0.pdf"], "doi": []}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "6043070c2f2f592601e90d2c71dc6fafca48056b", "title": "A Real-Time Multi-Task Single Shot 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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451649"]}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "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": "2017", "pdf": ["https://arxiv.org/pdf/1707.05653.pdf"], "doi": []}, {"id": "38183fe28add21693729ddeaf3c8a90a2d5caea3", "title": "Scale-Aware Face Detection", "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/1706.09876.pdf"], "doi": []}, {"id": "0974677f59e78649a40f0a1d85735410d21b906a", "title": "A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65nm CMOS", "addresses": [{"name": "ARM, Inc.", "source_name": "ARM, Inc., San Jose, CA", "street_adddress": "150 Rose Orchard Way, San Jose, CA 95134, USA", "lat": "37.41739310", "lng": "-121.94757210", "type": "company", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7858282", "http://doi.org/10.1109/ASPDAC.2017.7858282"]}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "5bd3d08335bb4e444a86200c5e9f57fd9d719e14", "title": "3 D Face Morphable Models \u201c Inthe-Wild \u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5bd3/d08335bb4e444a86200c5e9f57fd9d719e14.pdf"], "doi": []}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark 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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "3214ce1c8c86c0c4670e3f8b8f4351d8fa44434d", "title": "Deep Semantic Pyramids for Human Attributes and Action Recognition", "addresses": [{"name": "Universitat Autonoma de Barcelona", "source_name": "Computer Vision Center, Edifici \u201cO\u201d, Campus UAB,  Bellaterra, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3214/ce1c8c86c0c4670e3f8b8f4351d8fa44434d.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952553", "http://doi.org/10.1109/ICASSP.2017.7952553", "https://doi.org/10.1109/ICASSP.2017.7952553"]}, {"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"], "doi": []}, {"id": "b558be7e182809f5404ea0fcf8a1d1d9498dc01a", "title": "Bottom-up and top-down reasoning with convolutional latent-variable models", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/dc8a/57827ffbe7064979638cf909abf7fcf7fb8d.pdf"], "doi": []}, {"id": "1a85956154c170daf7f15f32f29281269028ff69", "title": "Active Pictorial Structures", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/active_pictorial_structures.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299182", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299182", "http://doi.org/10.1109/CVPR.2015.7299182"]}, {"id": "0a11b82aa207d43d1b4c0452007e9388a786be12", "title": "Feature Level Multiple Model Fusion Using Multilinear Subspace Analysis with Incomplete Training Set and Its Application to Face Image Analysis", "addresses": [{"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"}, {"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"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0a11/b82aa207d43d1b4c0452007e9388a786be12.pdf"], "doi": []}, {"id": "3802c97f925cb03bac91d9db13d8b777dfd29dcc", "title": "Non-parametric Bayesian Constrained Local Models", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://home.isr.uc.pt/~pedromartins/Publications/pmartins_cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Martins_Non-Parametric_Bayesian_Constrained_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909628", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.232", "http://doi.org/10.1109/CVPR.2014.232"]}, {"id": "1564bf0a268662df752b68bee5addc4b08868739", "title": "With whom do I interact? Detecting social interactions in egocentric photo-streams", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.04129.pdf"], "doi": []}, {"id": "0f829fee12e86f980a581480a9e0cefccb59e2c5", "title": "Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cs.columbia.edu/~liujx09/posters/birdpart_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Liu_Bird_Part_Localization_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751424", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.313", "http://doi.org/10.1109/ICCV.2013.313"]}, {"id": "4e72d964c28ba909f646b4eabd7c4aa61c14885c", "title": "Detecting Disguise Attacks on Multi-spectral Face Recognition Through Spectral Signatures", "addresses": [{"name": "Goa University", "source_name": "Goa University, India", "street_adddress": "Taleigao Plateau, Goa 403206, India", "lat": "15.45841400", "lng": "73.83455500", "type": "edu", "country": "India"}, {"name": "Norwegian Biometrics Laboratory, NTNU, Gj\u00f8vik, Norway", "source_name": "Norwegian Biometrics Laboratory, NTNU, Gj\u00f8vik, Norway", "street_adddress": "Teknologivegen 22, 2815 Gj\u00f8vik, Norway", "lat": "60.78973180", "lng": "10.68219270", "type": "edu", "country": "Norway"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545076"]}, {"id": "1255afbf86423c171349e874b3ac297de19f00cd", "title": "Robust Face Recognition by Computing Distances From Multiple Histograms of Oriented Gradients", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_SSCI_2015/data/7560a203.pdf", "http://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/Multi_HOG_Face_Recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7376612", "http://doi.org/10.1109/SSCI.2015.39"]}, {"id": "0387b32d0ebd034dc778972367e7d4194223785d", "title": "Emotion recognition with boosted tree classifiers", "addresses": [{"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531740"]}, {"id": "4eb8030b31ff86bdcb063403eef24e53b9ad4329", "title": "LSTM for dynamic emotion and group emotion recognition in the wild", "addresses": [{"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997640"]}, {"id": "7ebd323ddfe3b6de8368c4682db6d0db7b70df62", "title": "Location-based Face Recognition Using Smart Mobile Device Sensors", "addresses": [{"name": "University of Victoria", "source_name": "University of Victoria, BC V8W3P6, Canada", "street_adddress": "3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada", "lat": "48.46340670", "lng": "-123.31169350", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7ebd/323ddfe3b6de8368c4682db6d0db7b70df62.pdf"], "doi": []}, {"id": "e8875b317c2e0ed6fba0c908d599b3772a400bdd", "title": "Non-rigid 3D Shape Registration using an Adaptive Template", "addresses": [{"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07973.pdf"], "doi": []}, {"id": "33ae696546eed070717192d393f75a1583cd8e2c", "title": "Subspace selection to suppress confounding source domain information in AAM transfer learning", "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": "2017", "pdf": ["https://arxiv.org/pdf/1708.08508.pdf"], "doi": []}, {"id": "0de91641f37b0a81a892e4c914b46d05d33fd36e", "title": "RAPS: Robust and Efficient Automatic Construction of Person-Specific Deformable Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25816/01/Pantic_RAPS_Robust_and_Efficient_Automatic_Construction.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/raps.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Sagonas_RAPS_Robust_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.231", "http://doi.org/10.1109/CVPR.2014.231"]}, {"id": "a136ccaa67f660c45d3abb8551c5ed357faf7081", "title": "Active appearance pyramids for object parametrisation and fitting", "addresses": [{"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": "2016", "pdf": ["http://wrap.warwick.ac.uk/78863/1/WRAP_9870435-cs-010516-aap-zhang-bhalerao-media-accepted-version.pdf", "http://www2.warwick.ac.uk/fac/sci/dcs/people/research/csrnab/active_appearance_pyramids_medima__preprint.pdf", "https://warwick.ac.uk/fac/sci/dcs/people/research/csrnab/publications/1090_editor_version.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27078863", "http://doi.org/10.1016/j.media.2016.03.005", "https://doi.org/10.1016/j.media.2016.03.005"]}, {"id": "eb9bcf9e3f8856c92e7720b63b7e846df37de0c3", "title": "Efficient SMQT features for snow-based classification on face detection and character recognition tasks", "addresses": [{"name": "Xerox Research Center Webster, 800 Phillips Road, MS147-57B, Webster, NY 14580", "source_name": "Xerox Research Center Webster, 800 Phillips Road, MS147-57B, Webster, NY 14580", "street_adddress": "800 Phillips Rd, Webster, NY 14580, USA", "lat": "43.22398820", "lng": "-77.41709460", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6466644"]}, {"id": "9c1cdb795fd771003da4378f9a0585730d1c3784", "title": "Stacked Deformable Part Model with Shape Regression for Object Part Localization", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900568.pdf", "http://www.cbsr.ia.ac.cn/users/jjyan/ECCV2014_jjyan.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_37"]}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014997", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.263", "http://doi.org/10.1109/CVPRW.2017.263"]}, {"id": "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "title": "HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "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": "2019", "pdf": ["https://arxiv.org/pdf/1603.01249.pdf"], "doi": []}, {"id": "42ea8a96eea023361721f0ea34264d3d0fc49ebd", "title": "Parameterized Principal Component Analysis", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04695.pdf"], "doi": []}, {"id": "8fbec9105d346cd23d48536eb20c80b7c2bbbe30", "title": "The effectiveness of face detection algorithms in unconstrained crowd scenes", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835992"]}, {"id": "cfba667644508853844c45bfe5d0b8a2ffb756d3", "title": "Robust gender classification using extended multi-spectral imaging by exploring the spectral angle mapper", "addresses": [{"name": "University of Goa", "source_name": "University of Goa, India", "street_adddress": "Taleigao Plateau, Goa 403206, India", "lat": "15.45841400", "lng": "73.83455500", "type": "edu", "country": "India"}, {"name": "Norwegian Biometrics Laboratory, NTNU", "source_name": "Norwegian Biometrics Laboratory, NTNU - Gjøvik, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311455", "http://doi.org/10.1109/ISBA.2018.8311455"]}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "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"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "4932b929a2e09ddebedcb1abe8c62f269e7d4e33", "title": "Color based vehicle classification in surveillance videos", "addresses": [{"name": "Alg\u0131lay\u0131c\u0131lar, G\u00f6r\u00fcnt\u00fc ve Sinyal \u0130\u015fleme Grubu, HAVELSAN A.\u015e. Ankara, T\u00fcrkiye", "source_name": "Alg\u0131lay\u0131c\u0131lar, G\u00f6r\u00fcnt\u00fc ve Sinyal \u0130\u015fleme Grubu, HAVELSAN A.\u015e. Ankara, T\u00fcrkiye", "street_adddress": "Ankara, Turkey", "lat": "39.93336350", "lng": "32.85974190", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7496076", "http://doi.org/10.1109/SIU.2016.7496076"]}, {"id": "774cbb45968607a027ae4729077734db000a1ec5", "title": "From Bikers to Surfers: Visual Recognition of Urban Tribes", "addresses": [{"name": "University of Zaragoza", "source_name": "University of Zaragoza, Spain", "street_adddress": "Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain", "lat": "41.64206390", "lng": "-0.90150650", "type": "edu", "country": "Spain"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vision.cornell.edu/se3/wp-content/uploads/2014/09/utribes_bmvc13_final.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0014/abstract0014.pdf"], "doi": ["https://doi.org/10.5244/C.27.14"]}, {"id": "59bece468ed98397d54865715f40af30221aa08c", "title": "Deformable part-based robust face detection under occlusion by using face decomposition into face components", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2016", "pdf": ["https://bib.irb.hr/datoteka/833608.BiForD2016_11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7522352", "http://doi.org/10.1109/MIPRO.2016.7522352"]}, {"id": "c88ce5ef33d5e544224ab50162d9883ff6429aa3", "title": "Face Match for Family Reunification: Real-World Face Image Retrieval", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c88c/e5ef33d5e544224ab50162d9883ff6429aa3.pdf"], "doi": []}, {"id": "0d0b880e2b531c45ee8227166a489bf35a528cb9", "title": "Structure Preserving Object Tracking", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b838.pdf", "http://www.cs.ucf.edu/courses/cap6412/spr2014/papers/SPOT-CVPR2013.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhang_Structure_Preserving_Object_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619084", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.240", "http://doi.org/10.1109/CVPR.2013.240"]}, {"id": "5be3cc1650c918da1c38690812f74573e66b1d32", "title": "Relative Parts: Distinctive Parts for Learning Relative Attributes", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2014", "pdf": ["http://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/papers/Yashaswi2014Relative.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Sandeep_Relative_Parts_Distinctive_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909857", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.462", "http://doi.org/10.1109/CVPR.2014.462"]}, {"id": "19a9f658ea14701502d169dc086651b1d9b2a8ea", "title": "Structural models for 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"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/JJYan-FG2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553703", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553703", "http://doi.org/10.1109/FG.2013.6553703"]}, {"id": "4aa27c1f8118dbb39809a0f79a28c0cbc3ede276", "title": "3D Visual Speech Animation from Image Sequences", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Universit\u00e9 de Lorraine", "source_name": "Universit\u00e9 de Lorraine, LORIA, UMR 7503", "street_adddress": "Campus Scientifique, 615 Rue du Jardin-Botanique, 54506 Vand\u0153uvre-l\u00e8s-Nancy, France", "lat": "48.66579550", "lng": "6.15842070", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2683530"]}, {"id": "7698ba9fd1f49157ca2666a93311afbf1ff4e66c", "title": "Visual object detection with deformable part models", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2494532"]}, {"id": "b85d0aef3ee2883daca2835a469f5756917e76b7", "title": "Semantic movie summarization based on string of IE-RoleNets", "addresses": [{"name": "Key Laboratory of Medical Image Computing, Northeastern University, China", "source_name": "Key Laboratory of Medical Image Computing (Northeastern University), Ministry of Education, Shenyang, China", "street_adddress": "360 Huntington Ave, Boston, MA 02115, USA", "lat": "42.33980670", "lng": "-71.08917170", "type": "edu", "country": "United States"}, {"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": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s41095-015-0015-3"]}, {"id": "b93bf0a7e449cfd0db91a83284d9eba25a6094d8", "title": "Supplementary Material for : Active Pictorial Structures", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b93b/f0a7e449cfd0db91a83284d9eba25a6094d8.pdf"], "doi": []}, {"id": "14418ae9a6a8de2b428acb2c00064da129632f3e", "title": "Discovering the Spatial Extent of Relative Attributes", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://fanyix.cs.ucdavis.edu/project/discovery/files/ext_abstract.pdf", "http://fanyix.cs.ucdavis.edu/project/discovery/files/iccv2015.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Xiao_Discovering_the_Spatial_ICCV_2015_paper.pdf", "http://web.cs.ucdavis.edu/~yjlee/projects/iccv2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Xiao_Discovering_the_Spatial_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410528", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.171", "http://doi.org/10.1109/ICCV.2015.171"]}, {"id": "84e6669b47670f9f4f49c0085311dce0e178b685", "title": "Face frontalization for Alignment and Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00852.pdf"], "doi": []}, {"id": "86204fc037936754813b91898377e8831396551a", "title": "Dense Face Alignment", "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": ["https://arxiv.org/pdf/1709.01442.pdf"], "doi": []}, {"id": "950171acb24bb24a871ba0d02d580c09829de372", "title": "Speeding up 2 D-Warping for Pose-Invariant Face Recognition", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9501/71acb24bb24a871ba0d02d580c09829de372.pdf"], "doi": []}, {"id": "ad8bd7016132a2f98ff1f41dac695285e71cc4b1", "title": "A face alignment method based on SURF features", "addresses": [{"name": "Changchun University of Science and Technology, China", "source_name": "College of electronic and information engineer Changchun University of Science and Technology Changchun China", "street_adddress": "7989 Weixing Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, China, 130012", "lat": "43.83467700", "lng": "125.30313500", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301964", "http://doi.org/10.1109/CISP-BMEI.2017.8301964"]}, {"id": "414fdfe5f2e4f32a59bf15062b6e524cbf970637", "title": "RGB-D-Based Face Reconstruction and Recognition", "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": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914582", "http://doi.org/10.1109/ICPR.2014.67"]}, {"id": "47dabb566f2bdd6b3e4fa7efc941824d8b923a13", "title": "Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/47da/bb566f2bdd6b3e4fa7efc941824d8b923a13.pdf"], "doi": []}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}]}
\ No newline at end of file
+{"id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "dataset": {"key": "afw", "name_short": "AFW", "name_display": "Annotated Faces in The Wild Dataset", "name_full": "Annotated Faces in the Wild", "purpose": "face detection, pose estimation, face landmarks", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://web.archive.org/web/20180427144541/http://www.ics.uci.edu/~xzhu/face/", "verify_do": "Y", "verify_done": "", "cooperative": "Y", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "sources": "flickr", "source_cat": "", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2012", "ongoing": "", "images": "205 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "468 ", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "", "size_gb": "0.48", "agreement": "Y", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "0e986f51fe45b00633de9fd0c94d082d2be51406", "key": "afw", "title": "Face detection, pose estimation, and landmark localization in the wild", "year": "2012", "pdf": [], "address": "", "name": "AFW", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248014"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "bad2df94fa771869fa35bd11a1a7ab2e3f6d1da3", "title": "Multi-pose facial expression recognition based on SURF boosting", "addresses": [{"name": "Jiangsu University", "source_name": "Jiangsu University", "street_adddress": "\u6c5f\u82cf\u5927\u5b66, 301, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212013, \u4e2d\u56fd", "lat": "32.20302965", "lng": "119.50968362", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.infomus.org/Events/proceedings/ACII2015/papers/Main_Conference/M2_Poster/Poster_Teaser_5/ACII2015_submission_68.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7344635", "http://doi.ieeecomputersociety.org/10.1109/ACII.2015.7344635", "http://doi.org/10.1109/ACII.2015.7344635"]}, {"id": "632b24ddd42fda4aebc5a8af3ec44f7fd3ecdc6c", "title": "Real-Time Facial Segmentation and Performance Capture from RGB Input", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02647.pdf"], "doi": []}, {"id": "e3a6e9ddbbfc4c5160082338d46808cea839848a", "title": "Vision-Based Classification of Developmental Disorders Using Eye-Movements", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f5d0/2300271ab0f32f10bfbba5562c0fa83c5727.pdf"], "doi": []}, {"id": "a60907b7ee346b567972074e3e03c82f64d7ea30", "title": "Head Motion Signatures from Egocentric Videos", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}, {"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a609/07b7ee346b567972074e3e03c82f64d7ea30.pdf"], "doi": []}, {"id": "1fe59275142844ce3ade9e2aed900378dd025880", "title": "Facial Landmark Detection via Progressive Initialization Shengtao", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1fe5/9275142844ce3ade9e2aed900378dd025880.pdf"], "doi": []}, {"id": "2dbde64ca75e7986a0fa6181b6940263bcd70684", "title": "Pose Independent Face Recognition by Localizing Local Binary Patterns via Deformation Components", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/wp-content/uploads/2016/01/2014_pose_independent.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977479", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2014.766", "http://doi.org/10.1109/ICPR.2014.766"]}, {"id": "3f204a413d9c8c16f146c306c8d96b91839fed0c", "title": "Menpo: A Comprehensive Platform for Parametric Image Alignment and Visual Deformable Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654890"]}, {"id": "40217a8c60e0a7d1735d4f631171aa6ed146e719", "title": "Part-Pair Representation for Part Localization", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900456.pdf", "http://www.cs.columbia.edu/~liujx09/papers/partpair_eccv14.pdf", "http://www.cs.columbia.edu/~yli/papers/Parts_Localization_ECCV2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_30"]}, {"id": "2edc6df161f6aadbef9c12408bdb367e72c3c967", "title": "Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666278"]}, {"id": "3803b91e784922a2dacd6a18f61b3100629df932", "title": "Temporal Multimodal Fusion for Video Emotion Classification in the Wild", "addresses": [{"name": "Orange", "source_name": "Orange Labs", "street_adddress": "78 Rue Olivier de Serres, 75015 Paris, France", "lat": "48.83321220", "lng": "2.29421550", "type": "company", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07200.pdf"], "doi": []}, {"id": "2201f187a7483982c2e8e2585ad9907c5e66671d", "title": "Joint Face Alignment and 3D Face Reconstruction", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Michigan State University", "source_name": "Michigan State University", "street_adddress": "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1cad/9aa5095733b56e998ad0cd396e89c2bc9928.pdf"], "doi": []}, {"id": "285472527c5dc1c620d9644849e7519766c2d655", "title": "Learning Where to Position Parts in 3D", "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": "2015", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts.pdf", "http://lear.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/ICCV15_Parts_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410381", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.24", "http://doi.org/10.1109/ICCV.2015.24"]}, {"id": "3bf249f716a384065443abc6172f4bdef88738d9", "title": "A Hybrid Instance-based Transfer Learning Method", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01063.pdf"], "doi": []}, {"id": "bfea962697e9b445b89a865b465ae967dd55b4fe", "title": "Efficient object detection via structured learning and local classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bfea/962697e9b445b89a865b465ae967dd55b4fe.pdf"], "doi": []}, {"id": "a820941eaf03077d68536732a4d5f28d94b5864a", "title": "Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network", "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": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf", "http://or.nsfc.gov.cn/bitstream/00001903-5/156140/1/1000014276607.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410790", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.433", "http://doi.org/10.1109/ICCV.2015.433"]}, {"id": "940e5c45511b63f609568dce2ad61437c5e39683", "title": "Fiducial Facial Point Extraction Using a Novel Projective Invariant", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Gannan Normal University", "source_name": "Gannan Normal University, Ganzhou, China", "street_adddress": "Shangxue S Ave, Zhanggong Qu, Ganzhou Shi, Jiangxi Sheng, China", "lat": "25.79552400", "lng": "114.88722700", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006729", "http://doi.org/10.1109/TIP.2015.2390976", "https://www.ncbi.nlm.nih.gov/pubmed/25594969", "https://www.wikidata.org/entity/Q48687759"]}, {"id": "0f9dd79de75a3dce394846369f09c05ddf250e31", "title": "An accurate and real-time multi-view face detector using ORFs and doubly domain-partitioning classifier", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0751-6"]}, {"id": "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "title": "SREFI: Synthesis of realistic example face images", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06693.pdf"], "doi": []}, {"id": "2cb5db4df50921d276ad9e7186119a276324e465", "title": "Subtasks of Unconstrained Face Recognition", "addresses": [{"name": "McGovern Institute for Brain Research", "source_name": "McGovern Institute for Brain Research", "street_adddress": "McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.36262950", "lng": "-71.09144810", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cbcl.mit.edu/cbcl/publications/ps/Leibo_Liao_Poggio_VISAPP_2014.pdf", "http://cbcl.mit.edu/cbcl/publications/ps/Subtasks_Presentation_VISAPP2014.pdf", "http://cbcl.mit.edu/projects/cbcl/publications/ps/Subtasks_Presentation_VISAPP2014.pdf", "http://cbcl.mit.edu/publications/ps/Leibo_Liao_Poggio_VISAPP_2014.pdf", "http://cbmm.mit.edu/sites/default/files/publications/Leibo_Liao_Poggio_subtasks_VISAPP_2014.pdf", "http://dspace.mit.edu/bitstream/handle/1721.1/102486/Poggio_Subtasks%20of.pdf;sequence=1", "http://www.scitepress.org/Papers/2014/46942/46942.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294920", "http://doi.org/10.5220/0004694201130121", "http://dspace.mit.edu/openaccess-disseminate/1721.1/102486"]}, {"id": "1862cb5728990f189fa91c67028f6d77b5ac94f6", "title": "Speeding Up Tracking by Ignoring Features", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://insy.ewi.tudelft.nl/sites/default/files/zhang14cvpr_0.pdf", "http://lvdmaaten.github.io/publications/papers/CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhang_Speeding_Up_Tracking_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909561", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.165", "http://doi.org/10.1109/CVPR.2014.165"]}, {"id": "dc0341e5392c853f11283e99a7dc5c51be730aca", "title": "Simple head pose estimation in still images", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7203942"]}, {"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "title": "Interactive Facial Feature Localization", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"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": "2012", "pdf": ["http://www.ifp.illinois.edu/~vuongle2/helen/eccv2012_helen_final.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33712-3_49"]}, {"id": "d06c8e3c266fbae4026d122ec9bd6c911fcdf51d", "title": "Role for 2D image generated 3D face models in the rehabilitation of facial palsy", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d06c/8e3c266fbae4026d122ec9bd6c911fcdf51d.pdf"], "doi": []}, {"id": "d6639263381c929ebc579a541045a85aa21680f8", "title": "Visually classified & tagged video repository", "addresses": [{"name": "Amity University Uttar Pradesh", "source_name": "Amity University Uttar Pradesh", "street_adddress": "Amity University, Noida, Greater Noida Expressway, Noida Special Economic Zone, Bakhtawarpur, Ghaziabad, Uttar Pradesh, 201304, India", "lat": "28.54322285", "lng": "77.33274830", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7508165"]}, {"id": "572dbaee6648eefa4c9de9b42551204b985ff863", "title": "The more the merrier: Analysing the affect of a group of people in images", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"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"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["http://mhug.disi.unitn.it/wp-content/uploads/2015/papers/2015/Dhall-FG2015.pdf", "http://staff.estem-uc.edu.au/roland/files/2009/05/Dhall_Joshi_Sikka_Goecke_Sebe_FG2015_TheMoreTheMerrier-AnalysingTheAffectOfAGroupOfPeopleInImages.pdf", "http://videolectures.net/site/normal_dl/tag=977258/fgconference2015_goecke_people_images_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163151", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163151", "http://doi.org/10.1109/FG.2015.7163151"]}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"], "doi": []}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"], "doi": []}, {"id": "48a9241edda07252c1aadca09875fabcfee32871", "title": "Convolutional Experts Network for Facial Landmark 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": "2017", "pdf": [], "doi": []}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "b1fdd4ae17d82612cefd4e78b690847b071379d3", "title": "Supervised Descent Method", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/4fc5/416b6c7173d3462e5be796bda3ad8d5645a1.pdf"], "doi": []}, {"id": "3176ee88d1bb137d0b561ee63edf10876f805cf0", "title": "Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07356.pdf"], "doi": []}, {"id": "898ff1bafee2a6fb3c848ad07f6f292416b5f07d", "title": "Face Alignment via Regressing Local Binary Features", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384759", "http://doi.org/10.1109/TIP.2016.2518867", "https://www.ncbi.nlm.nih.gov/pubmed/26800539", "https://www.wikidata.org/entity/Q50538837"]}, {"id": "2cd426f10178bd95fef3dede69ae7b67e73bb70c", "title": "Real-time face alignment enhancement by tracking", "addresses": [{"name": "Zhejiang University of Technology", "source_name": "Zhejiang University of Technology", "street_adddress": "\u6d59\u6c5f\u5de5\u4e1a\u5927\u5b66, \u6f6e\u738b\u8def, \u671d\u6656\u8857\u9053, \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310014, \u4e2d\u56fd", "lat": "30.29315340", "lng": "120.16204580", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7866457", "http://doi.org/10.1109/ROBIO.2016.7866457"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "8983485996d5d9d162e70d66399047c5d01ac451", "title": "Deep feature-based face detection on mobile devices", "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"}, {"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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477230"]}, {"id": "c00f402b9cfc3f8dd2c74d6b3552acbd1f358301", "title": "Learning deep representation from coarse to fine for face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00207.pdf"], "doi": []}, {"id": "89497854eada7e32f06aa8f3c0ceedc0e91ecfef", "title": "Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling", "addresses": [{"name": "Alibaba", "source_name": "AI Laboratories, Alibaba Group, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "company", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8219746", "http://doi.org/10.1109/TIP.2017.2784571", "https://www.ncbi.nlm.nih.gov/pubmed/29432093", "https://www.wikidata.org/entity/Q50064162"]}, {"id": "59c21f5a24d0b408d528054b016915236bb85bf2", "title": "Semi-automatic annotation tool for sign languages", "addresses": [{"name": "National Laboratory Astana, 53 Kabanbay batyr ave., Astana, Kazakhstan", "source_name": "National Laboratory Astana, 53 Kabanbay batyr ave., Astana, Kazakhstan", "street_adddress": "Qabanbay Batyr Ave 53, Astana 020000, Kazakhstan", "lat": "51.09495100", "lng": "71.40464470", "type": "edu", "country": "Kazakhstan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7991803"]}, {"id": "7343f0b7bcdaf909c5e37937e295bf0ac7b69499", "title": "Adaptive Cascade Deep Convolutional Neural Networks for face alignment", "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": "2015", "pdf": ["http://wuyuebupt.github.io/files/csi.pdf", "http://www1.ece.neu.edu/~yuewu/files/2015/1-s2.0-S0920548915000665-main.pdf"], "doi": ["http://doi.org/10.1016/j.csi.2015.06.004", "https://doi.org/10.1016/j.csi.2015.06.004"]}, {"id": "ccebd3bf069f5c73ea2ccc5791976f894bc6023d", "title": "Face detection based on deep convolutional neural networks exploiting incremental facial part learning", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900186", "http://doi.org/10.1109/ICPR.2016.7900186"]}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789684", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.194", "http://doi.org/10.1109/CVPRW.2016.194"]}, {"id": "2a8b1bcd397d987d7bb0963ec7e472c3ee6ebfa4", "title": "Salgan360: Visual Saliency Prediction On 360 Degree Images With Generative Adversarial Networks", "addresses": [{"name": "Universit\u00e9 Rennes, Rennes, France", "source_name": "INSA Rennes CNRS IETR-UMR 6164, Univ Rennes, Rennes, F-35000, France", "street_adddress": "35700 Rennes, France", "lat": "48.11698050", "lng": "-1.64119830", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551543"]}, {"id": "b104c8ef6735eba1d29f50c99bbbf99d33fc8dc2", "title": "Face hallucination based on neighbor embedding via illumination adaptation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.apsipa.org/proceedings_2015/pdf/199.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7415357", "http://doi.org/10.1109/APSIPA.2015.7415357", "https://doi.org/10.1109/APSIPA.2015.7415357"]}, {"id": "5480aee1d01700bb98f5a0e06dd15bf36a4e45ea", "title": "SelfID: How to make personal ID photo using selfie", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8330711"]}, {"id": "493f7f6db3160b3e011a96db8add618bcda39616", "title": "Beyond Trade-Off: Accelerate FCN-Based Face Detector with Higher Accuracy", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.05197.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296999", "http://doi.org/10.1109/ICIP.2017.8296999"]}, {"id": "887745c282edf9af40d38425d5fdc9b3fe139c08", "title": "FAME: Face Association through Model Evolution", "addresses": [{"name": "Bilkent University", "source_name": "Bilkent University", "street_adddress": "Bilkent \u00dcniversitesi, 3. Cadde, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87204890", "lng": "32.75395155", "type": "edu", "country": "Turkey"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1407.2987.pdf"], "doi": []}, {"id": "466f80b066215e85da63e6f30e276f1a9d7c843b", "title": "Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://cbl.uh.edu/pub_files/07961802.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961802", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.81", "http://doi.org/10.1109/FG.2017.81"]}, {"id": "122f52fadd4854cf6c9287013520eced3c91e71a", "title": "Robust Point Set Matching for Partial Face Recognition", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7377089", "http://doi.org/10.1109/TIP.2016.2515987", "https://www.ncbi.nlm.nih.gov/pubmed/26761775", "https://www.wikidata.org/entity/Q35892863"]}, {"id": "ee418372b0038bd3b8ae82bd1518d5c01a33a7ec", "title": "CSE 255 Winter 2015 Assignment 1 : Eye Detection using Histogram of Oriented Gradients and Adaboost Classifier", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/ee41/8372b0038bd3b8ae82bd1518d5c01a33a7ec.pdf"], "doi": []}, {"id": "54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6", "title": "Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Delphi Deutschland GMBH", "source_name": "Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany", "street_adddress": "Delphipl. 1, 42119 Wuppertal, Germany", "lat": "51.23524380", "lng": "7.15931320", "type": "company", "country": "Germany"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911334", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2697958", "http://doi.org/10.1109/TPAMI.2017.2697958", "https://www.ncbi.nlm.nih.gov/pubmed/28459684"]}, {"id": "fe961cbe4be0a35becd2d722f9f364ec3c26bd34", "title": "Computer-based T racking , A nalysis , and Visualization of L inguistically S ignificant N onmanual E vents in American Sign Language ( ASL )", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"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": "2014", "pdf": ["https://pdfs.semanticscholar.org/fe96/1cbe4be0a35becd2d722f9f364ec3c26bd34.pdf"], "doi": []}, {"id": "e4fa062bff299a0bcef9f6b2e593c85be116c9f1", "title": "Cascaded Elastically Progressive Model for Accurate Face Alignment", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7407641", "http://doi.org/10.1109/TSMC.2016.2523930", "https://doi.org/10.1109/TSMC.2016.2523930"]}, {"id": "d140c5add2cddd4a572f07358d666fe00e8f4fe1", "title": "Statistically Learned Deformable Eye Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d140/c5add2cddd4a572f07358d666fe00e8f4fe1.pdf"], "doi": []}, {"id": "166b3ca3a43102e7d0a35d883e650ec4bbf2c3a5", "title": "Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499059"]}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7804415", "http://doi.org/10.1109/IVCNZ.2016.7804415"]}, {"id": "22c06284a908d8ad0994ad52119773a034eed7ee", "title": "Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks", "addresses": [{"name": "NTT Corporation, Atsugi, Japan", "source_name": "NTT Corporation, Atsugi, Japan", "street_adddress": "3-1 Morinosatowakamiya, Atsugi, Kanagawa Prefecture 243-0124, Japan", "lat": "35.44048960", "lng": "139.31561110", "type": "company", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967236"]}, {"id": "3f88ea8cf2eade325b0f32832561483185db5c10", "title": "Low-Rank and Joint Sparse Representations for Multi-Modal Recognition", "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"}, {"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7962177", "http://doi.org/10.1109/TIP.2017.2721838", "https://www.ncbi.nlm.nih.gov/pubmed/28682252", "https://www.wikidata.org/entity/Q38691339"]}, {"id": "465faf9974a60da00950be977f3bc2fc3e56f5d2", "title": "Facial action unit intensity estimation and feature relevance visualization with random regression forests", "addresses": [{"name": "University of Magdeburg", "source_name": "Institute for Information Technology and Communications, University of Magdeburg, Germany", "street_adddress": "Universit\u00e4tspl. 2, 39106 Magdeburg, Germany", "lat": "52.14020530", "lng": "11.64419910", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273631", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273631", "http://doi.org/10.1109/ACII.2017.8273631"]}, {"id": "6fd4048bfe3123e94c2648e53a56bc6bf8ff4cdd", "title": "Micro-facial movement detection using spatio-temporal features", "addresses": [{"name": "Manchester Metropolitan University", "source_name": "Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK", "street_adddress": "John Dalton Building, Manchester Metropolitan University, Chester St, Manchester M1 5GD, United Kingdom", "lat": "53.47173060", "lng": "-2.23992390", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fd4/048bfe3123e94c2648e53a56bc6bf8ff4cdd.pdf"], "doi": []}, {"id": "b2a0e5873c1a8f9a53a199eecae4bdf505816ecb", "title": "Hybrid VAE: Improving Deep Generative Models using Partial Observations", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.11566.pdf"], "doi": []}, {"id": "8e60be8a25cc4a28220dd3092489baa84be903da", "title": "Multiview Landmark Detection for Identity-Preserving Alignment", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8e60/be8a25cc4a28220dd3092489baa84be903da.pdf"], "doi": []}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"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": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "023be757b1769ecb0db810c95c010310d7daf00b", "title": "Face Alignment Assisted by Head Pose Estimation", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03148.pdf"], "doi": []}, {"id": "24959d1a9c9faf29238163b6bcaf523e2b05a053", "title": "High Accuracy Head Pose Tracking Survey", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2495/9d1a9c9faf29238163b6bcaf523e2b05a053.pdf"], "doi": []}, {"id": "b239a756f22201c2780e46754d06a82f108c1d03", "title": "Robust multimodal recognition via multitask multivariate low-rank representations", "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": "2015", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/Fusion_FG_camera_ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163146", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163146", "http://doi.org/10.1109/FG.2015.7163146"]}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "2b64a8c1f584389b611198d47a750f5d74234426", "title": "Deblurring Face Images with Exemplars", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "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": "2014", "pdf": ["https://pdfs.semanticscholar.org/fb11/6f00320a37d80ec32561d1ab9b795c943202.pdf"], "doi": []}, {"id": "6eddea1d991e81c1c3024a6cea422bc59b10a1dc", "title": "Towards automatic analysis of gestures and body expressions in depression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6edd/ea1d991e81c1c3024a6cea422bc59b10a1dc.pdf"], "doi": []}, {"id": "01e27c91c7cef926389f913d12410725e7dd35ab", "title": "Semi-supervised annotation of faces in image collection", "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": [], "doi": ["http://doi.org/10.1007/s11760-017-1140-5"]}, {"id": "90eb66e75381cce7146b3953a2ae479a7beec539", "title": "Hybrid sensing face detection and recognition", "addresses": [{"name": "US Army Research Laboratory", "source_name": "US Army Research Laboratory, 2800 Powder Mill Rd, Adelphi, MD 20783, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}, {"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7444542", "http://doi.ieeecomputersociety.org/10.1109/AIPR.2015.7444542", "http://doi.org/10.1109/AIPR.2015.7444542"]}, {"id": "fd4ac1da699885f71970588f84316589b7d8317b", "title": "Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision", "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": "2014", "pdf": ["https://arxiv.org/pdf/1405.0601.pdf"], "doi": []}, {"id": "622785eb1f954ba028aa45671ded10a79aa139e5", "title": "FACE - Face At Classroom Environment: Dataset and Exploration", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}, {"name": "Maranatha Christian University", "source_name": "Faculty of Information Technology, Maranatha Christian University, Indonesia", "street_adddress": "M.P.H, Jl. Surya Sumantri No.65, Sukawarna, Sukajadi, Kota Bandung, Jawa Barat 40164, Indonesia", "lat": "-6.88647290", "lng": "107.58072670", "type": "edu", "country": "Indonesia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8608166"]}, {"id": "cf5c9b521c958b84bb63bea9d5cbb522845e4ba7", "title": "Towards Arbitrary-View Face Alignment by Recommendation Trees", "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"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.06627.pdf"], "doi": []}, {"id": "d350a9390f0818703f886138da27bf8967fe8f51", "title": "Lighting design for portraits with a virtual light stage", "addresses": [{"name": "University of Siegen", "source_name": "University of Siegen, Siegen, Germany", "street_adddress": "Adolf-Reichwein-Stra\u00dfe 2, 57068 Siegen, Germany", "lat": "50.91126130", "lng": "8.02545330", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532624"]}, {"id": "04f0292d9a062634623516edd01d92595f03bd3f", "title": "Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531742"]}, {"id": "23b466abb866e3f160f4573a69666f861aef59cc", "title": "EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction", "addresses": [{"name": "Indian Institute of Technology Ropar, India", "source_name": "Indian Institute of Technology Ropar, India", "street_adddress": "IIT, Rupnagar, Punjab 140001, India", "lat": "30.97563940", "lng": "76.53886800", "type": "edu", "country": "India"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07773.pdf"], "doi": []}, {"id": "86c053c162c08bc3fe093cc10398b9e64367a100", "title": "Cascade of forests for face alignment", "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": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/86c0/53c162c08bc3fe093cc10398b9e64367a100.pdf"], "doi": []}, {"id": "37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e", "title": "Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach", "addresses": [{"name": "IIT Madras, India", "source_name": "IIT Madras, India", "street_adddress": "Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India", "lat": "12.99149290", "lng": "80.23369070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["http://www.cse.iitm.ac.in/~amittal/wacv2015_review.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045875", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.21", "http://doi.org/10.1109/WACV.2015.21"]}, {"id": "d68dbb71b34dfe98dee0680198a23d3b53056394", "title": "VIVA Face-off Challenge : Dataset Creation and Balancing Privacy", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/d68d/bb71b34dfe98dee0680198a23d3b53056394.pdf"], "doi": []}, {"id": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without 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"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "a735c6330430c0ff0752d117c54281b1396b16bf", "title": "Automatic location of facial landmarks for plastic surgery procedures", "addresses": [{"name": "Cl\u00ednica Otocenter, Teresina, Piau\u00ed, Brasil", "source_name": "Cl\u00ednica Otocenter, Teresina, Piau\u00ed, Brasil", "street_adddress": "Centro (Sul), Teresina - PI, 64001-300, Brazil", "lat": "-5.09555590", "lng": "-42.80658870", "type": "company", "country": "Brazil"}, {"name": "Universidade Federal do Piau\u00ed, Teresina, Brasil", "source_name": "Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Brasil", "street_adddress": "2001 - R. Dirce Oliveira, 1805 - Ininga, Teresina - PI, Brazil", "lat": "-5.05622440", "lng": "-42.78986450", "type": "edu", "country": "Brazil"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6974118", "http://doi.org/10.1109/SMC.2014.6974118"]}, {"id": "55cfc3c08000f9d21879582c6296f2a864b657e8", "title": "Comparisons of local methods for face alignment", "addresses": [{"name": "Shenyang University of Technology", "source_name": "Shenyang University of Technology, Shenyang, China", "street_adddress": "Tiexi, Shenyang, China", "lat": "41.73158300", "lng": "123.24926210", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0287", "https://doi.org/10.1049/iet-cvi.2015.0287"]}, {"id": "40c8cffd5aac68f59324733416b6b2959cb668fd", "title": "Pooling Facial Segments to Face: The Shallow and Deep Ends", "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/1701.08341.pdf"], "doi": []}, {"id": "12a56100a958c12049ad7f5e98c824e07d309999", "title": "Masked Loss Residual Convolutional Neural Network For Facial Keypoint Detection", "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 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"}, {"name": "Montana State University", "source_name": "Montana State University, Bozeman, MT 59717, USA", "street_adddress": "Bozeman, MT 59717, USA", "lat": "45.66039860", "lng": "-111.04518180", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/12a5/6100a958c12049ad7f5e98c824e07d309999.pdf"], "doi": []}, {"id": "57ebeff9273dea933e2a75c306849baf43081a8c", "title": "Deep Convolutional Network Cascade for Facial Point Detection", "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"}], "year": "2013", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/CNN/data/CNN_FacePoint.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d476.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sun_Deep_Convolutional_Network_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/sunWTcvpr13.pdf", "http://www.iipl.fudan.edu.cn/~hdwu/liu_cvpr_01.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619290", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.446", "http://doi.org/10.1109/CVPR.2013.446"]}, {"id": "87bee0e68dfc86b714f0107860d600fffdaf7996", "title": "Automated 3D Face Reconstruction from Multiple Images Using Quality Measures", "addresses": [{"name": "University of Siegen", "source_name": "University of Siegen, Siegen, Germany", "street_adddress": "Adolf-Reichwein-Stra\u00dfe 2, 57068 Siegen, Germany", "lat": "50.91126130", "lng": "8.02545330", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://mi.informatik.uni-siegen.de/publications/piotraschke_autoreconst_cvpr16.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Piotraschke_Automated_3D_Face_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Piotraschke_Automated_3D_Face_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780741", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.372", "http://doi.org/10.1109/CVPR.2016.372"]}, {"id": "261a80216dda39b127d2b7497c068ec7e0fdf183", "title": "A Framework for Making Face Detection Benchmark Databases", "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"}, {"name": "Vols Taipei", "source_name": "Vols Taipei", "street_adddress": "Taipei, Taiwan", "lat": "25.03296940", "lng": "121.56541770", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6522507", "http://doi.org/10.1109/TCSVT.2013.2265571"]}, {"id": "a60db9ca8bc144a37fe233b08232d9c91641cbb5", "title": "Spatial alignment network for facial landmark localization", "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": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11280-018-0615-9"]}, {"id": "f94f366ce14555cf0d5d34248f9467c18241c3ee", "title": "Deep Convolutional Neural Network in Deformable Part Models for Face Detection", "addresses": [{"name": "Vietnam National University", "source_name": "VNU University of Science, Vietnam National University, Hanoi, Vietnam", "street_adddress": "334 Nguy\u1ec5n Tr\u00e3i, Thanh Xu\u00e2n Trung, Thanh Xu\u00e2n, H\u00e0 N\u1ed9i, Vietnam", "lat": "20.99593440", "lng": "105.80797250", "type": "edu", "country": "Vietnam"}, {"name": "Japan Advanced Institute of Science and Technology", "source_name": "Japan Advanced Institute of Science and Technology", "street_adddress": "JAIST (\u5317\u9678\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66), \u77f3\u5ddd\u770c\u905355\u53f7\u5c0f\u677e\u8fb0\u53e3\u7dda, Ishikawa Science Park, \u80fd\u7f8e\u5e02, \u77f3\u5ddd\u770c, \u4e2d\u90e8\u5730\u65b9, 923-1206, \u65e5\u672c", "lat": "36.44429490", "lng": "136.59285870", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f94f/366ce14555cf0d5d34248f9467c18241c3ee.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "3b7a6291712f9796a3add49a3f65f0acaa3e1335", "title": "Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition", "addresses": [{"name": "Effat University", "source_name": "Effat University, Jeddah, Saudi Arabia", "street_adddress": "An Nazlah Al Yamaniyyah, Jeddah 22332, Saudi Arabia", "lat": "21.47820560", "lng": "39.21066340", "type": "edu", "country": "Saudi Arabia"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470527", "http://doi.org/10.1109/TIFS.2016.2569061", "https://www.wikidata.org/entity/Q55872423"]}, {"id": "2c285dadfa6c07d392ee411d0213648a8a1cf68f", "title": "Image based Static Facial Expression Recognition with Multiple Deep Network Learning", "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": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830595"]}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "addresses": [{"name": "Bar-Ilan University", "source_name": "Bar-Ilan University", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d1\u05e8 \u05d0\u05d9\u05dc\u05df, \u05db\u05d1\u05d9\u05e9 \u05d2\u05d4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05e7\u05e8\u05d9\u05d9\u05ea \u05de\u05d8\u05dc\u05d5\u05df, \u05d2\u05d1\u05e2\u05ea \u05e9\u05de\u05d5\u05d0\u05dc, \u05de\u05d7\u05d5\u05d6 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.06932925", "lng": "34.84334339", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"], "doi": []}, {"id": "6a4ebd91c4d380e21da0efb2dee276897f56467a", "title": "HOG active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.nottingham.ac.uk/31441/1/tzimiroICIP14b.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/07025044.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2014hog_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025044", "http://doi.org/10.1109/ICIP.2014.7025044"]}, {"id": "0d781b943bff6a3b62a79e2c8daf7f4d4d6431ad", "title": "EmotiW 2016: video and group-level emotion recognition challenges", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997638"]}, {"id": "3b470b76045745c0ef5321e0f1e0e6a4b1821339", "title": "Consensus of Regression for Occlusion-Robust Facial Feature Localization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e72/fa02f2d90ba31f31e0a7aa96a6d3e10a66fc.pdf"], "doi": []}, {"id": "e896389891ba84af58a8c279cf8ab5de3e9320ee", "title": "Audio-visual speaker localization via weighted clustering", "addresses": [{"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}], "year": "2014", "pdf": ["http://xavirema.eu/wp-content/papercite-data/pdf/Gebru-MLSP-2014.pdf", "https://hal.archives-ouvertes.fr/file/index/docid/1053732/filename/mainCameraReady-HAL.pdf", "https://hal.archives-ouvertes.fr/hal-01053732/file/mainCameraReady-HAL.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6958874", "http://doi.org/10.1109/MLSP.2014.6958874", "https://doi.org/10.1109/MLSP.2014.6958874"]}, {"id": "cc4fc9a309f300e711e09712701b1509045a8e04", "title": "Continuous Supervised Descent Method for Facial Landmark Localisation", "addresses": [{"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"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": "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/cea6/9010a2f75f7a057d56770e776dec206ed705.pdf"], "doi": []}, {"id": "d2f2b10a8f29165d815e652f8d44955a12d057e6", "title": "Multiscale binarised statistical image features for symmetric face matching using multiple descriptor fusion based on class-specific LDA", "addresses": [{"name": "Urmia University", "source_name": "Urmia University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0627\u0631\u0648\u0645\u06cc\u0647, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0627\u062f\u0627\u0631\u0647 \u06af\u0627\u0632 (\u0645\u0646\u0635\u0648\u0631 \u0627\u0641\u0634\u0627\u0631), \u062f\u0627\u0646\u0634\u06a9\u062f\u0647, \u0627\u0631\u0648\u0645\u06cc\u0647, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0627\u0631\u0648\u0645\u06cc\u0647, \u0627\u0633\u062a\u0627\u0646 \u0622\u0630\u0631\u0628\u0627\u06cc\u062c\u0627\u0646 \u063a\u0631\u0628\u06cc, 444655677, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "37.52914535", "lng": "45.04886077", "type": "edu", "country": "Iran"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-015-0475-1", "https://doi.org/10.1007/s10044-015-0475-1"]}, {"id": "5f448ab700528888019542e6fea1d1e0db6c35f2", "title": "Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization", "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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7416197", "http://doi.org/10.1109/LSP.2016.2533721"]}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"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": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "ff3a8474a77f9a69bc2c82e087f065d29d0f2114", "title": "Multi-scale face detection based on convolutional neural network", "addresses": [{"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623411"]}, {"id": "0bc53b338c52fc635687b7a6c1e7c2b7191f42e5", "title": "Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment", "addresses": [{"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": "2016", "pdf": ["https://pdfs.semanticscholar.org/a32a/8d6d4c3b4d69544763be48ffa7cb0d7f2f23.pdf"], "doi": []}, {"id": "8875dcf2836315839741fd6944f249263408c27f", "title": "Facial landmark detection via self-adaption model and multi-task feature learning", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}, {"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877807"]}, {"id": "6c26744149ae08af8bc84137633495fa948b41ad", "title": "Robust periocular biometrics based on Local Phase Quantisation and Gabor transform", "addresses": [{"name": "Centre of Development of Advanced Computing (CDAC), Mumbai, India", "source_name": "Centre of Development of Advanced Computing (CDAC), Mumbai, 400049, India", "street_adddress": "9, 10th Gulmohar Cross Rd, Gulmohar Road, JVPD Scheme, Juhu, Mumbai, Maharashtra 400049, India", "lat": "19.11471490", "lng": "72.83383690", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7003871"]}, {"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", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/849f/891973ad2b6c6f70d7d43d9ac5805f1a1a5b.pdf"], "doi": []}, {"id": "0ef20991e0ecc7dc3f6e0e5fd6ee93c4970206f3", "title": "Facial video super resolution using semantic exemplar components", "addresses": [{"name": "Sharp Laboratories of America, Camas, WA", "source_name": "Sharp Laboratories of America, Camas, WA", "street_adddress": "5750 NW Pacific Rim Blvd, Camas, WA 98607, USA", "lat": "45.59332750", "lng": "-122.46110560", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351013", "http://doi.org/10.1109/ICIP.2015.7351013"]}, {"id": "5e0b691e9e5812dd3cb120a8d77619a45aa8e4c4", "title": "Pose-indexed based multi-view method for face alignment", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532567", "http://doi.org/10.1109/ICIP.2016.7532567"]}, {"id": "102b27922e9bd56667303f986404f0e1243b68ab", "title": "Multiscale recurrent regression networks for face alignment", "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://applied-informatics-j.springeropen.com/track/pdf/10.1186/s40535-017-0042-5?site=applied-informatics-j.springeropen.com"], "doi": ["http://doi.org/10.1186/s40535-017-0042-5"]}, {"id": "70c3f7ade95e5f79adc02ca6171b4194ec347427", "title": "Face Alignment by Combining Residual Features in Cascaded Hourglass Network", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451574", "http://doi.org/10.1109/ICIP.2018.8451574"]}, {"id": "a4725a5b43e7c36d9e30028dff66958f892254a0", "title": "Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen / Imperial College London, Munich / London, England UK", "source_name": "Technische Universit\u00e4t M\u00fcnchen / Imperial College London, Munich / London, England UK", "street_adddress": "Kensington, London SW7 2AZ, UK", "lat": "51.49879970", "lng": "-0.17487720", "type": "edu", "country": "United Kingdom"}, {"name": "Technische Universit\u00e4t M\u00fcnchen, Munich, Germany", "source_name": "Technische Universit\u00e4t M\u00fcnchen, Munich, Germany", "street_adddress": "Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany", "lat": "48.14966000", "lng": "11.56786020", "type": "edu", "country": "Germany"}, {"name": "University of Geneva", "source_name": "University of Geneva", "street_adddress": "University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA", "lat": "42.57054745", "lng": "-88.55578627", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666271"]}, {"id": "6e9a8a34ab5b7cdc12ea52d94e3462225af2c32c", "title": "Fusing Aligned and Non-aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Kim_Fusing_Aligned_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789677", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.187", "http://doi.org/10.1109/CVPRW.2016.187"]}, {"id": "d3367c9a4825295301225a05a190c0b7ed62736e", "title": "Real-time discrimination of frontal face using integral channel features and Adaboost", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6933582"]}, {"id": "587b8c147c6253878128ddacf6e5faf8272842a4", "title": "Driving High-Resolution Facial Scans with Video Performance Capture", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2638549"]}, {"id": "63c0bba6ac0937736ec4d8e147acda594cc1fb70", "title": "A New Method for Face Alignment under Extreme Poses and Occlusion", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546065"]}, {"id": "69737cf25979bf8d8886f63c44ef5b7c95a066e7", "title": "Real Time Facial Expression Recognition Based on Deep Convolutional Spatial Neural Networks", "addresses": [{"name": "Cochin University of Technology", "source_name": "Cochin University of Technology, Ernakulam, Kerala, India", "street_adddress": "University Road, South Kalamassery, Kalamassery, Kochi, Kerala 682022, India", "lat": "10.04433400", "lng": "76.32823380", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8529105"]}, {"id": "1e5a1619fe5586e5ded2c7a845e73f22960bbf5a", "title": "Group Membership Prediction", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.04783.pdf"], "doi": []}, {"id": "397257783ccc8cace5b67cc71e0c73034d559a4f", "title": "A 3D-Based Pose Invariant Face Recognition at a Distance Framework", "addresses": [{"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2014", "pdf": ["http://www.aun.edu.eg/reserches_files/14973.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918513", "http://doi.org/10.1109/TIFS.2014.2362299", "https://doi.org/10.1109/TIFS.2014.2362299"]}, {"id": "156cd2a0e2c378e4c3649a1d046cd080d3338bca", "title": "Exemplar based approaches on Face Fiducial Detection and Frontalization", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/156c/d2a0e2c378e4c3649a1d046cd080d3338bca.pdf"], "doi": []}, {"id": "21bd60919e2e182a29af455353141ba4907b1b41", "title": "Attended Visual Content Degradation Based Reduced Reference Image Quality Assessment", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}, {"name": "China University of Mining and Technology", "source_name": "China University of Mining and Technology", "street_adddress": "China University of Mining and Technology, 1\u53f7, \u5927\u5b66\u8def, \u6cc9\u5c71\u533a (Quanshan), \u5f90\u5dde\u5e02 / Xuzhou, \u6c5f\u82cf\u7701, 221116, \u4e2d\u56fd", "lat": "34.21525380", "lng": "117.13985410", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270602", "http://doi.org/10.1109/ACCESS.2018.2798573"]}, {"id": "3be8f1f7501978287af8d7ebfac5963216698249", "title": "Deep Cascaded Regression for Face Alignment", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3be8/f1f7501978287af8d7ebfac5963216698249.pdf"], "doi": []}, {"id": "3b84d074b8622fac125f85ab55b63e876fed4628", "title": "End-to-End Localization and Ranking for Relative Attributes", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.02676.pdf"], "doi": []}, {"id": "22e2066acfb795ac4db3f97d2ac176d6ca41836c", "title": "Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "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": "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": "2014", "pdf": ["https://pdfs.semanticscholar.org/26f5/3a1abb47b1f0ea1f213dc7811257775dc6e6.pdf"], "doi": []}, {"id": "5c820e47981d21c9dddde8d2f8020146e600368f", "title": "Extended Supervised Descent Method for Robust Face Alignment", "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": "2014", "pdf": ["https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf"], "doi": []}, {"id": "f3745aa4a723d791d3a04ddf7a5546e411226459", "title": "The Menpo Benchmark for Multi-pose 2D and 3D Facial Landmark Localisation and Tracking", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-1134-y"]}, {"id": "7ed5036a7c1eb2ea08fa2a12a446a9ccb6171c92", "title": "Size variant landmark patches for Facial Action Unit detection", "addresses": [{"name": "Bah\u00e7e\u015fehir University", "source_name": "Bahcesehir University", "street_adddress": "BAU Galata, 24, Kemeralt\u0131 Caddesi, M\u00fceyyedzade, Beyo\u011flu, \u0130stanbul, Marmara B\u00f6lgesi, 34425, T\u00fcrkiye", "lat": "41.02451875", "lng": "28.97697953", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7746266"]}, {"id": "46b2ecef197b465abc43e0e017543b1af61921ac", "title": "Face alignment with Cascaded Bidirectional LSTM Neural Networks", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899652", "http://doi.org/10.1109/ICPR.2016.7899652"]}, {"id": "9cb7b3b14fd01cc2ed76784ab76304132dab6ff3", "title": "Facial landmark detection via pose-induced auto-encoder networks", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351174", "http://doi.org/10.1109/ICIP.2015.7351174"]}, {"id": "2dd902bb32bc106d828e1d0734477fed84df2ff0", "title": "Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer 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": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123276"]}, {"id": "c2474202d56bb80663e7bece5924245978425fc1", "title": "Localize heavily occluded human faces via deep segmentation", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532771", "http://doi.org/10.1109/ICIP.2016.7532771"]}, {"id": "e6d6d1b0a8b414160f67142fc18e1321fe3f1c49", "title": "Semantic facial description via axiomatic Fuzzy Set based clustering", "addresses": [{"name": "Shenyang Aerospace University", "source_name": "College of Automation, Shenyang Aerospace University, China", "street_adddress": "Hanqing S Rd, Heping Qu, Shenyang Shi, Liaoning Sheng, China, 110016", "lat": "41.76538300", "lng": "123.41744800", "type": "edu", "country": "China"}, {"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7382037", "http://doi.org/10.1109/FSKD.2015.7382037"]}, {"id": "bd26faef48080b5af294b19139c804ffec70825e", "title": "VFM: Visual Feedback Model for Robust Object Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-015-1526-1"]}, {"id": "4dae1c18838233338481e3ed29bf6e1252cb68f2", "title": "Toward a Comprehensive Face Detector in the Wild", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122006"]}, {"id": "4289f5d6255955a7a97e85b3d16e29accb52d96d", "title": "Multi-modal social signal analysis for predicting agreement in conversation settings", "addresses": [{"name": "Open University of Catalonia", "source_name": "Open University of Catalonia, Barcelona, Spain", "street_adddress": "Rambla del Poblenou, 156, 08018 Barcelona, Spain", "lat": "41.40649800", "lng": "2.19454320", "type": "edu", "country": "Spain"}, {"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2532594"]}, {"id": "050a3346e44ca720a54afbf57d56b1ee45ffbe49", "title": "Multi-cue Zero-Shot Learning with Strong Supervision", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08754.pdf"], "doi": []}, {"id": "7cdf3bc1de6c7948763c0c2dfa4384dcbd3677a0", "title": "Robust Statistical Frontalization of Human and Animal Faces", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://eprints.eemcs.utwente.nl/27129/01/sagonas2016robust.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas2016rsf.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0920-7", "https://doi.org/10.1007/s11263-016-0920-7"]}, {"id": "a5ade88747fa5769c9c92ffde9b7196ff085a9eb", "title": "Why is facial expression analysis in the wild challenging?", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531924"]}, {"id": "08f1e9e14775757298afd9039f46ec56e80677f9", "title": "Attentional Push: Augmenting Salience with Shared Attention Modeling", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00072.pdf"], "doi": []}, {"id": "8a63a2b10068b6a917e249fdc73173f5fd918db0", "title": "A Review of Automated Pain Assessment in Infants: Features, Classification Tasks, and Databases", "addresses": [{"name": "University of South Florida", "source_name": "University of South Florida", "street_adddress": "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "lat": "28.05999990", "lng": "-82.41383619", "type": "edu", "country": "United States"}, {"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8120021", "http://doi.org/10.1109/RBME.2017.2777907", "https://www.ncbi.nlm.nih.gov/pubmed/29989992"]}, {"id": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "f7ae38a073be7c9cd1b92359131b9c8374579b13", "title": "Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "London Healthcare Sciences Centre, Ontario, Canada", "source_name": "London Healthcare Sciences Centre, London, ON, Canada", "street_adddress": "800 Commissioners Rd E, London, ON N6A 5W9, Canada", "lat": "42.96034800", "lng": "-81.22662800", "type": "edu", "country": "Canada"}, {"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}, {"name": "St. Joseph's Health Care, Ontario, Canada", "source_name": "St. Joseph\u2019s Health Care, London, ON, Canada", "street_adddress": "268 Grosvenor St, London, ON N6A 4V2, Canada", "lat": "43.00129530", "lng": "-81.25504550", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/07487053.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487053", "http://doi.org/10.1109/TNNLS.2016.2573260", "https://doi.org/10.1109/TNNLS.2016.2573260", "https://www.ncbi.nlm.nih.gov/pubmed/27295694"]}, {"id": "562f7555e5cb79ce0fe834c4613264d8378dd007", "title": "Spatio-temporal texture-based feature extraction for spontaneous facial expression recognition", "addresses": [{"name": "Monash University Malaysia", "source_name": "Monash University Malaysia", "street_adddress": "Monash University Malaysia, Jalan Lagoon Selatan, Kampung Lembah Kinrara, SS13, Subang Jaya, Selangor, 47500, Malaysia", "lat": "3.06405715", "lng": "101.60059740", "type": "edu", "country": "Malaysia"}], "year": "2015", "pdf": ["http://www.mva-org.jp/Proceedings/2015USB/papers/14-13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153112", "http://doi.org/10.1109/MVA.2015.7153112", "https://doi.org/10.1109/MVA.2015.7153112"]}, {"id": "113c22eed8383c74fe6b218743395532e2897e71", "title": "MODEC: Multimodal Decomposable Models for Human Pose Estimation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://homes.cs.washington.edu/~taskar/pubs/modec_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d674.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sapp_MODEC_Multimodal_Decomposable_2013_CVPR_paper.pdf", "http://www.seas.upenn.edu/~bensapp/cvpr13-modec.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619315", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.471", "http://doi.org/10.1109/CVPR.2013.471"]}, {"id": "8bbd40558a99e33fac18f6736b8fe99f4a97d9b1", "title": "Visual Object Detection Using Cascades of Binary and One-Class Classifiers", "addresses": [{"name": "Eskisehir Osmangazi University", "source_name": "Eskisehir Osmangazi University", "street_adddress": "Eski\u015fehir Osmangazi \u00dcniversitesi Me\u015felik Yerle\u015fkesi, K\u00fctahya-Eski\u015fehir yolu, Sazova Mahallesi, Karag\u00f6zler, Tepeba\u015f\u0131, Eski\u015fehir, \u0130\u00e7 Anadolu B\u00f6lgesi, 26160, T\u00fcrkiye", "lat": "39.74875160", "lng": "30.47653071", "type": "edu", "country": "Turkey"}, {"name": "Laboratoire Jean Kuntzmann, Grenoble, France", "source_name": "Laboratoire Jean Kuntzmann, Grenoble, France", "street_adddress": "Laboratoire Jean Kuntzmann, 38610 Gi\u00e8res, France", "lat": "45.19348940", "lng": "5.77153180", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-016-0986-2", "https://doi.org/10.1007/s11263-016-0986-2"]}, {"id": "bf2f2696fdb4077b5ab18aa583f6376acadf2438", "title": "Supervised descent method based on appearance and shape for face alignment", "addresses": [{"name": "Institute of Automation Chinese Academy of Sciences, Beijing, China", "source_name": "Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 3rd St, \u4e2d\u5173\u6751", "lat": "39.97945600", "lng": "116.32845670", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7551684"]}, {"id": "336488746cc76e7f13b0ec68ccfe4df6d76cdc8f", "title": "Adaptive Cascade Regression Model For Robust Face Alignment", "addresses": [{"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": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7762938", "http://doi.org/10.1109/TIP.2016.2633939", "https://doi.org/10.1109/TIP.2016.2633939", "https://www.ncbi.nlm.nih.gov/pubmed/27913349"]}, {"id": "4f7967158b257e86d66bdabfdc556c697d917d24", "title": "Guaranteed Parameter Estimation of Discrete Energy Minimization for 3 D Scene Parsing", "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://pdfs.semanticscholar.org/4f79/67158b257e86d66bdabfdc556c697d917d24.pdf"], "doi": []}, {"id": "084bd02d171e36458f108f07265386f22b34a1ae", "title": "Face Alignment at 3000 FPS via Regressing Local Binary Features", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://7xrqgw.com1.z0.glb.clouddn.com/3000fps.pdf", "http://research.microsoft.com/en-US/people/yichenw/cvpr14_facealignment.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ren_Face_Alignment_at_2014_CVPR_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr14_facealignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909614", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.218", "http://doi.org/10.1109/CVPR.2014.218"]}, {"id": "51b42da0706a1260430f27badcf9ee6694768b9b", "title": "Shape initialization without ground truth for face alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001278.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471882", "http://doi.org/10.1109/ICASSP.2016.7471882", "https://doi.org/10.1109/ICASSP.2016.7471882"]}, {"id": "982fcead58be419e4f34df6e806204674a4bc579", "title": "Performance improvement of face recognition algorithms using occluded-region detection", "addresses": [{"name": "Azbil Corporation, Kawana, Japan", "source_name": "Azbil Corporation 1-12-2, Kawana, Fujisawa-shi, 251-8522, Japan", "street_adddress": "2 Chome Kawana, Fujisawa, Kanagawa Prefecture 251-0015, Japan", "lat": "35.33414870", "lng": "139.49433560", "type": "company", "country": "Japan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": ["http://www.aoki.ecei.tohoku.ac.jp/~ito/207.pdf", "https://pdfs.semanticscholar.org/982f/cead58be419e4f34df6e806204674a4bc579.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6613012", "http://doi.org/10.1109/ICB.2013.6613012", "https://doi.org/10.1109/ICB.2013.6613012"]}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "addresses": [{"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "96ba65bffdddef7c7737c0f42ff4299e95cd85c2", "title": "Deep-learning-based face detection using iterative bounding-box regression", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5658-5", "https://doi.org/10.1007/s11042-018-5658-5"]}, {"id": "9d57c4036a0e5f1349cd11bc342ac515307b6720", "title": "Landmark Weighting for 3DMM Shape Fitting", "addresses": [{"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"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05399.pdf"], "doi": []}, {"id": "6144af24ce06af7d8cdd606e79cea5d6e73e2135", "title": "3D face landmark auto detection", "addresses": [{"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}, {"name": "Universit\u00e9 Of Bourgogne, France", "source_name": "Universit\u00e9 Of Bourgogne, France", "street_adddress": "Maison de l'universit\u00e9, Espl. Erasme, 21078 Dijon, France", "lat": "47.31290700", "lng": "5.06606800", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368276"]}, {"id": "963d0d40de8780161b70d28d2b125b5222e75596", "title": "Convolutional Experts Constrained Local Model for Facial Landmark 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": "2017", "pdf": ["https://arxiv.org/pdf/1611.08657.pdf"], "doi": []}, {"id": "054756fa720bdcf1d320ad7a353e54ca53d4d3af", "title": "Semantic part segmentation using compositional model combining shape and appearance", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6124.pdf"], "doi": []}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "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": "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": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "a602b95a0e24c224f5812d08aa39b20588de699e", "title": "A Two-Step Learning Method for Detecting Landmarks on Faces from Different Domains", "addresses": [{"name": "Universidade Federal de Minas Gerais (UFMG), Brazil", "source_name": "Universidade Federal de Minas Gerais (UFMG), Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451026"]}, {"id": "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "addresses": [{"name": "Houston University", "source_name": "Houston Univ., TX, USA", "street_adddress": "3800 Montrose Blvd, Houston, TX 77006, USA", "lat": "29.73672400", "lng": "-95.39318250", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"], "doi": []}, {"id": "2d072cd43de8d17ce3198fae4469c498f97c6277", "title": "Random Cascaded-Regression Copse for Robust Facial Landmark Detection", "addresses": [{"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"}, {"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"}], "year": "2015", "pdf": ["http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-IEEE-SPL-2015.pdf", "http://www.patrikhuber.ch/files/RCRC_SPL_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6877655", "http://doi.org/10.1109/LSP.2014.2347011"]}, {"id": "6754c98ba73651f69525c770fb0705a1fae78eb5", "title": "Joint Cascade Face Detection and Alignment", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f68b/3031e7092072bd7b38c05448031f17b087d1.pdf"], "doi": []}, {"id": "3ed46ef5344927a30d71089ae203c9a9e35e4977", "title": "Face detection: A deep convolutional network method based on grouped facial part", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8054068", "http://doi.org/10.1109/IAEAC.2017.8054068"]}, {"id": "1ed6c7e02b4b3ef76f74dd04b2b6050faa6e2177", "title": "Face Detection with a 3D Model", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.3596.pdf"], "doi": []}, {"id": "2b6683dc7e94863e2df5d4ff2b5eb44c0b1957c7", "title": "Improving Robustness of Biometric Identity Determination with Digital Watermarking", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://downloads.hindawi.com/journals/jece/2016/6390741.pdf"], "doi": ["https://doi.org/10.1155/2016%2F6390741", "https://doi.org/10.1155/2016/6390741"]}, {"id": "29fd98f096fc9d507cd5ee7d692600b1feaf7ed1", "title": "Exploring Multimodal Visual Features for Continuous Affect Recognition", "addresses": [{"name": "Beijing Normal Univeristy, Beijing, China", "source_name": "Beijing Normal Univeristy, Beijing, China", "street_adddress": "19 Xinjiekou Outer St, BeiTaiPingZhuang, Haidian Qu, Beijing Shi, China, 100875", "lat": "39.96195370", "lng": "116.36626150", "type": "edu", "country": "China"}, {"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2988270"]}, {"id": "83011670e083dd52484578f8b6b3b4ccde3237ec", "title": "Mixture of trees with three layers", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8297179"]}, {"id": "50e04ffed39d130720cf9310f72ebc037f8f6392", "title": "Fully Convolutional Network for Head Detection with Depth Images", "addresses": [{"name": "University of Modena and Reggio", "source_name": "DIEF, University of Modena and Reggio, Modena, 41125, Italy", "street_adddress": "Via P. Vivarelli, 10, 41125 Modena MO, Italy", "lat": "44.62918470", "lng": "10.94879780", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545332"]}, {"id": "5ed5e534c8defd683909200c1dc31692942b7b5f", "title": "A Multimodal Approach to Assessing User Experiences with Agent Helpers", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983926"]}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296364", "http://doi.org/10.1109/ICIP.2017.8296364"]}, {"id": "73a70595af6500505b46de91afbe108ce2fc2aee", "title": "Privileged Information-Based Conditional Structured Output Regression Forest for Facial Point Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005459"]}, {"id": "eb9867f5efc98d3203ce1037f9a8814b0d15d0aa", "title": "Periocular recognition based on Gabor and Parzen PNN", "addresses": [{"name": "Centre of Development of Advanced Computing, Mumbai, India", "source_name": "Centre of Development of Advanced Computing (CDAC) Mumbai, 400049, India", "street_adddress": "9, 10th Gulmohar Cross Rd, Gulmohar Road, JVPD Scheme, Juhu, Mumbai, Maharashtra 400049, India", "lat": "19.11471490", "lng": "72.83383690", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026008", "http://doi.org/10.1109/ICIP.2014.7026008"]}, {"id": "ad0863aa16301d7c6617f8b965a64cf58f38594f", "title": "Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra and Australian National University", "source_name": "University of Canberra and Australian National University, Canberra, Australia", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2829994"]}, {"id": "a611c978e05d7feab01fb8a37737996ad6e88bd9", "title": "Benchmarking 3D Pose Estimation for Face Recognition", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cbl.uh.edu/pub_files/3_Benchmarking3DPoseEstimationForFaceRecognition_ICPR2014_v8.pdf", "http://cbl.uh.edu/~pengfei/pubs/Benchmarking3DPoseEstimationForFaceRecognition_ICPR2014_v8.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976753", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2014.42", "http://doi.org/10.1109/ICPR.2014.42"]}, {"id": "8c50869b745fc094a4fb1b27861934c3c14d7199", "title": "A study of the effect of subject motion to pulse rate estimation", "addresses": [{"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}, {"name": "Palo Alto Research Center, Webster, NY", "source_name": "Palo Alto Research Center, Webster, NY", "street_adddress": "3333 Coyote Hill Rd, Palo Alto, CA 94304, USA", "lat": "37.40245300", "lng": "-122.14796300", "type": "company", "country": "United States"}, {"name": "Xerox Research Center, India", "source_name": "Xerox Research Center India, India", "street_adddress": "2660 Speakman Dr, Mississauga, ON L5K 2L1, Canada", "lat": "43.51269930", "lng": "-79.66624270", "type": "company", "country": "Canada"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7591826", "http://doi.org/10.1109/EMBC.2016.7591826", "https://www.ncbi.nlm.nih.gov/pubmed/28227611", "https://www.wikidata.org/entity/Q48568646"]}, {"id": "ca44a838da4187617dca9f6249d8c4b604661ec7", "title": "Multi-pose face hallucination via neighbor embedding for facial components", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.icst.pku.edu.cn/course/icb/v2/Pub%20Files/2015/lyh_icip15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351564", "http://doi.org/10.1109/ICIP.2015.7351564", "https://doi.org/10.1109/ICIP.2015.7351564"]}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "addresses": [{"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"], "doi": []}, {"id": "64bb909c4103d2078392377ef8e4205346437c61", "title": "A Study of the Dynamic Relation between Physiological Changes and Spontaneous Expressions", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/26823/3/Study+of+the+Dynamic+Relation_.pdf"], "doi": ["https://doi.org/10.1038/s41598-017-07122-x", "https://www.ncbi.nlm.nih.gov/pubmed/28765637"]}, {"id": "b1534888673e6119f324082246016d28eba249aa", "title": "Saliency-based navigation in omnidirectional image", "addresses": [{"name": "INRIA Rennes-Bretagne-Atlantique", "source_name": "INRIA Rennes-Bretagne-Atlantique", "street_adddress": "Campus de Beaulieu, 263 Avenue G\u00e9n\u00e9ral Leclerc, 35042 Rennes, France", "lat": "48.11638230", "lng": "-1.63970970", "type": "edu", "country": "France"}, {"name": "University of Rennes", "source_name": "IRISA, University of Rennes 1", "street_adddress": "263 Avenue G\u00e9n\u00e9ral Leclerc, 35000 Rennes, France", "lat": "48.11631810", "lng": "-1.63970240", "type": "edu", "country": "France"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122229"]}, {"id": "4d3805141f21e88b1d32cf39e65e42ccf4287504", "title": "Compressing and Accelerating Neural Network for Facial Point Localization", "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": [], "doi": ["http://doi.org/10.1007/s12559-017-9506-0"]}, {"id": "ab703224e3d6718bc28f7b9987eb6a5e5cce3b01", "title": "Unseen head pose prediction using dense multivariate label distribution", "addresses": [{"name": "Jiaxing University", "source_name": "College of Mathematics and Information Engineering, Jiaxing University, Jiaxing, China", "street_adddress": "Nanhu, Jiaxing, China, 314000", "lat": "30.74769200", "lng": "120.73322300", "type": "edu", "country": "China"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1631/FITEE.1500235"]}, {"id": "116763250838c0c37dace540ff38d33bf4864960", "title": "Robust Classification of Head Pose from Low Resolution Images under Various Lighting Condition", "addresses": [{"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1167/63250838c0c37dace540ff38d33bf4864960.pdf"], "doi": []}, {"id": "1fd7a17a6c630a122c1a3d1c0668d14c0c375de0", "title": "Facial landmark localization: Past, present and future", "addresses": [{"name": "Moulay Ismail University", "source_name": "Moulay Ismail University", "street_adddress": "Marjane 2, BP: 298\u060c Meknes 50050, Morocco", "lat": "33.85611100", "lng": "-5.57439100", "type": "edu", "country": "Morocco"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805097", "http://doi.org/10.1109/CIST.2016.7805097"]}, {"id": "081189493ca339ca49b1913a12122af8bb431984", "title": "Supplemental Material for Photorealistic Facial Texture Inference Using Deep Neural Networks", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0811/89493ca339ca49b1913a12122af8bb431984.pdf"], "doi": []}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"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"], "doi": []}, {"id": "ce56be1acffda599dec6cc2af2b35600488846c9", "title": "Inferring Sentiment from Web Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "IBM Almaden Research Center", "source_name": "IBM Almaden Research Center", "street_adddress": "IBM Almaden Research Center, San Jos\u00e9, Santa Clara County, California, USA", "lat": "37.21095605", "lng": "-121.80748668", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce56/be1acffda599dec6cc2af2b35600488846c9.pdf"], "doi": []}, {"id": "77fbbf0c5729f97fcdbfdc507deee3d388cd4889", "title": "Pose-Robust 3D Facial Landmark Estimation from a Single 2D Image", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ec7f/c7bf79204166f78c27e870b620205751fff6.pdf"], "doi": []}, {"id": "6b0a2f9ab9b134d66a325525ea5d90ad546fe2b7", "title": "A hybrid vision system for detecting use of mobile phones while driving", "addresses": [{"name": "Santa Catarina State University", "source_name": "UDESC - Santa Catarina State University, DCC - CCT, Joinville, 89219-710, Brazil", "street_adddress": "Campus Universit\u00e1rio Prof. Avelino Marcante - R. Paulo Malschitzki, 200 - Zona Industrial Norte, Joinville - SC, 89219-710, Brazil", "lat": "-26.25219050", "lng": "-48.85417040", "type": "edu", "country": "Brazil"}, {"name": "Federal University of Santa Catarina", "source_name": "UFSC - Federal University of Santa Catarina / INE - CTC, Florian\u00f3polis, 88040-900, Brazil", "street_adddress": "R. Eng. Agron\u00f4mico Andrei Cristian Ferreira, s/n - Trindade, Florian\u00f3polis - SC, 88040-900, Brazil", "lat": "-27.60070340", "lng": "-48.51917750", "type": "edu", "country": "Brazil"}, {"name": "University of S\u00e3o Paulo", "source_name": "University of S\u00e3o Paulo", "street_adddress": "S\u00e3o Paulo - State of S\u00e3o Paulo, Brazil", "lat": "-23.56139910", "lng": "-46.73078910", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7727803", "http://doi.org/10.1109/IJCNN.2016.7727803"]}, {"id": "32ecbbd76fdce249f9109594eee2d52a1cafdfc7", "title": "Object Specific Deep Learning Feature and Its Application to Face Detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01366.pdf"], "doi": []}, {"id": "3463f12ad434d256cd5f94c1c1bfd2dd6df36947", "title": "Facial Expression Recognition with Fusion Features Extracted from Salient Facial Areas", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3463/f12ad434d256cd5f94c1c1bfd2dd6df36947.pdf"], "doi": []}, {"id": "7f415aee0137acab659c664eb1dff15f7b726bdd", "title": "Scene Text Recognition Using Structure-Guided Character Detection and Linguistic Knowledge", "addresses": [{"name": "CASIA, Beijing, China", "source_name": "State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/3745/1/TCSVT-scene%20text%20recognition%20using%20structure-guided%20character%20detection%20and%20linguistic%20knowledge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727574", "http://doi.org/10.1109/TCSVT.2014.2302522"]}, {"id": "3cc2a2eaaacbf96c6b9abc1cf91bfefabf6fcfdd", "title": "A High-Efficiency and High-Accuracy Fully Automatic Collaborative Face Annotation System for Distributed Online Social Networks", "addresses": [{"name": "National Taipei University of Technology", "source_name": "National Taipei University of Technology", "street_adddress": "NTUT, 1, \u5fe0\u5b5d\u6771\u8def\u4e09\u6bb5, \u6c11\u8f1d\u91cc, \u6771\u5340\u5546\u5708, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10608, \u81fa\u7063", "lat": "25.04306355", "lng": "121.53468772", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6800059", "http://doi.org/10.1109/TCSVT.2014.2317887"]}, {"id": "1ef4815f41fa3a9217a8a8af12cc385f6ed137e1", "title": "Rendering of Eyes for Eye-Shape Registration and Gaze Estimation", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.05916.pdf"], "doi": []}, {"id": "28f7d3d894705a92cac9b08d22701fadb6472676", "title": "Non-rigid image registration for visible color and thermal IR face", "addresses": [{"name": "Yunnan Normal University Kunming", "source_name": "Yunnan Normal University Kunming, 650092, China", "street_adddress": "298 Yi'eryi St, Wuhua Qu, Kunming Shi, Yunnan Sheng, China, 650031", "lat": "25.05512500", "lng": "102.69688800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846571"]}, {"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"], "doi": []}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "a8035ca71af8cc68b3e0ac9190a89fed50c92332", "title": "IIIT-CFW: A Benchmark Database of Cartoon Faces in the Wild", "addresses": [{"name": "Indian Institute of Technology Sri City", "source_name": "IIIT Chittoor, Sri City, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}, {"name": "CVIT, KCIS, IIIT Hyderabad, India", "source_name": "CVIT, KCIS, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a803/5ca71af8cc68b3e0ac9190a89fed50c92332.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "68021c333559ab95ca10e0dbbcc8a4840c31e157", "title": "A framework for joint facial expression recognition and point localization", "addresses": [{"name": "Otto-von-Guericke-University Magdeburg", "source_name": "Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany", "street_adddress": "Universit\u00e4tspl. 2, 39106 Magdeburg, Germany", "lat": "52.14020530", "lng": "11.64419910", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900281", "http://doi.org/10.1109/ICPR.2016.7900281"]}, {"id": "ef4ecb76413a05c96eac4c743d2c2a3886f2ae07", "title": "Modeling the importance of faces in natural images", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ef4e/cb76413a05c96eac4c743d2c2a3886f2ae07.pdf"], "doi": []}, {"id": "055de0519da7fdf27add848e691087e0af166637", "title": "Joint Unsupervised Face Alignment and Behaviour Analysis", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25814/01/Pantic_Joint_Unsupervised_Face_Alignment.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/eccv_2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8692/86920167.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10593-2_12"]}, {"id": "ecd67d0e8eb407b1edb07511578a68995efdfea8", "title": "Automatic Multitask Learning System for Abnormal Network Traffic Detection", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ecd6/7d0e8eb407b1edb07511578a68995efdfea8.pdf"], "doi": []}, {"id": "171ca25bc2cdfc79cad63933bcdd420d35a541ab", "title": "Calibration-Free Gaze Estimation Using Human Gaze Patterns", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Alnajar_Calibration-Free_Gaze_Estimation_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751126", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.24", "http://doi.org/10.1109/ICCV.2013.24"]}, {"id": "221252be5d5be3b3e53b3bbbe7a9930d9d8cad69", "title": "Do We Need More Training Data or Better Models for Object Detection?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2212/52be5d5be3b3e53b3bbbe7a9930d9d8cad69.pdf"], "doi": []}, {"id": "7df4f96138a4e23492ea96cf921794fc5287ba72", "title": "A Jointly Learned Deep Architecture for Facial Attribute Analysis and Face Detection in the Wild", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.08705.pdf"], "doi": []}, {"id": "3f957142ef66f2921e7c8c7eadc8e548dccc1327", "title": "Merging SVMs with Linear Discriminant Analysis: A Combined Model", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25817/01/Pantic_Merging_SVMs_with_Linear_Discriminant_Analysis.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/combined_model_lda_&_svms.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Nikitidis_Merging_SVMs_with_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909536", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.140", "http://doi.org/10.1109/CVPR.2014.140"]}, {"id": "d91fd82332a0db1bb4a8ac563f406098cfe9c4bb", "title": "Feedback-based social media filtering tool for improved situational awareness", "addresses": [{"name": "MIT Lincoln Laboratory", "source_name": "MIT Lincoln Laboratory", "street_adddress": "244 Wood St, Lexington, MA 02421, USA", "lat": "42.45895890", "lng": "-71.26749520", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://www.ll.mit.edu/sites/default/files/publication/doc/2018-05/2016_05_10_ThorntonJ_HST_FP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7568888"]}, {"id": "7f2a4cd506fe84dee26c0fb41848cb219305173f", "title": "SERSC Face Detection and Pose Estimation Based on Evaluating Facial Feature Selection", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}, {"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"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7f2a/4cd506fe84dee26c0fb41848cb219305173f.pdf"], "doi": []}, {"id": "4014d74e8f5ea4d76c2c1add81d0c88d6e342478", "title": "Group emotion recognition in the wild by combining deep neural networks for facial expression classification and scene-context analysis", "addresses": [{"name": "University of Newcastle, Australia", "source_name": "Callaghan, NSW 2308, Australia", "street_adddress": "Callaghan, Newcastle-Maitland, Newcastle, NSW, 2308, Australia", "lat": "-32.88923520", "lng": "151.69989830", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3143010"]}, {"id": "e4abc40f79f86dbc06f5af1df314c67681dedc51", "title": "Head Detection with Depth Images in the Wild", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.06786.pdf"], "doi": []}, {"id": "56ae6d94fc6097ec4ca861f0daa87941d1c10b70", "title": "Distance Estimation of an Unknown Person from a Portrait", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/49084/13/FaceDistanceEstimation_RONCHI.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8689/86890313.pdf", "http://vision.caltech.edu/~mronchi/papers/ECCV14_FaceDistancePortrait_PAPER.pdf", "http://vision.caltech.edu/~xpburgos/papers/ECCV14%20Burgos-Artizzu.pdf", "http://www.vision.caltech.edu/~mronchi/papers/ECCV14_FaceDistancePortrait_PAPER.pdf", "http://www.vision.caltech.edu/~xpburgos/papers/ECCV14%20Burgos-Artizzu.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10590-1_21"]}, {"id": "5ae970294aaba5e0225122552c019eb56f20af74", "title": "Establishing Dense Correspondence of High Resolution 3 D Faces via M\u00f6bius Transformations", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5ae9/70294aaba5e0225122552c019eb56f20af74.pdf"], "doi": []}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"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": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"], "doi": []}, {"id": "6341274aca0c2977c3e1575378f4f2126aa9b050", "title": "A multi-scale cascade fully convolutional network face detector", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03536.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "72a1852c78b5e95a57efa21c92bdc54219975d8f", "title": "Cascaded regression with sparsified feature covariance matrix for facial landmark detection", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://eprints.nottingham.ac.uk/31303/1/prl_blockwise_SDM.pdf", "http://www.cs.nott.ac.uk/~pszmv/Documents/prl_blockwise_SDM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2015.11.014"]}, {"id": "d9b4b49378fcd77dcd5e755975b99ed4c7962f17", "title": "Stroke Detector and Structure Based Models for Character Recognition: A Comparative Study", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/10026/1/TIP-Stroke%20Detector%20and%20Strucsture%20based%20models%20for%20character%20recognition%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7222434", "http://doi.org/10.1109/TIP.2015.2473105", "https://www.ncbi.nlm.nih.gov/pubmed/26316131", "https://www.wikidata.org/entity/Q38404968"]}, {"id": "bb34bcf28021a658ce89d65d229df76d4dc620c6", "title": "Computer Models for Facial Beauty Analysis", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-32598-9", "https://www.wikidata.org/entity/Q57808850"]}, {"id": "8dd162c9419d29564e9777dd523382a20c683d89", "title": "Interlinked Convolutional Neural Networks for Face Parsing", "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": "2015", "pdf": ["https://arxiv.org/pdf/1806.02479.pdf"], "doi": []}, {"id": "813c93c54c19fd3ef850728e6d4a31d279d26021", "title": "Emotion identification by facial landmarks dynamics analysis", "addresses": [{"name": "University of Mons", "source_name": "Faculty of Engineering, University of Mons, Belgium", "street_adddress": "Place du Parc 20, 7000 Mons, Belgium", "lat": "50.45877140", "lng": "3.95216520", "type": "edu", "country": "Belgium"}, {"name": "University \u201cPolitehnica\u201d of Bucharest", "source_name": "LAPI & Natural Computing Labs, University \u201cPolitehnica\u201d of Bucharest, 061071, Romania", "street_adddress": "Bucharest, Romania", "lat": "44.42676740", "lng": "26.10253840", "type": "edu", "country": "Romania"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7312688", "http://doi.org/10.1109/ICCP.2015.7312688"]}, {"id": "1824b1ccace464ba275ccc86619feaa89018c0ad", "title": "One millisecond face alignment with an ensemble of regression trees", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909637", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.241", "http://doi.org/10.1109/CVPR.2014.241"]}, {"id": "d7d9c1fa77f3a3b3c2eedbeb02e8e7e49c955a2f", "title": "Automating Image Analysis by Annotating Landmarks with Deep Neural Networks", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00583.pdf"], "doi": []}, {"id": "3333f2f667c4fa7310a7afbe9bd012bc818e5660", "title": "A fast Cascade Shape Regression Method based on CNN-based Initialization", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546058", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546058", "http://doi.org/10.1109/ICPR.2018.8546058"]}, {"id": "4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7", "title": "Efficient likelihood Bayesian constrained local model", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09956.pdf"], "doi": []}, {"id": "35f921def890210dda4b72247849ad7ba7d35250", "title": "Exemplar-Based Graph Matching for Robust Facial Landmark Localization", "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": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhou_Exemplar-Based_Graph_Matching_2013_ICCV_paper.pdf", "http://www.f-zhou.com/fa/2013_ICCV_EGM.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/2013_ICCV_EGM.pdf", "https://www.ri.cmu.edu/pub_files/2013/12/ICCV_EGM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751237", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.131", "http://doi.org/10.1109/ICCV.2013.131"]}, {"id": "4b02387c2db968a70b69d98da3c443f139099e91", "title": "Detecting facial landmarks in the video based on a hybrid framework", "addresses": [{"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06441.pdf"], "doi": []}, {"id": "b5f79df712ad535d88ae784a617a30c02e0551ca", "title": "Locating Facial Landmarks Using Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://staff.ustc.edu.cn/~juyong/Papers/FaceAlignment-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7273853", "http://doi.org/10.1109/LSP.2015.2480758"]}, {"id": "55aafdef9d9798611ade1a387d1e4689f2975e51", "title": "Hallucinating Compressed Face Images", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv17_face.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1044-4", "https://doi.org/10.1007/s11263-017-1044-4"]}, {"id": "4eeccbbb98de4f2e992600482fd6b881ace014bb", "title": "Multi-pose Facial Expression Recognition Using Transformed Dirichlet Process", "addresses": [{"name": "Jiangsu University", "source_name": "Jiangsu University", "street_adddress": "\u6c5f\u82cf\u5927\u5b66, 301, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212013, \u4e2d\u56fd", "lat": "32.20302965", "lng": "119.50968362", "type": "edu", "country": "China"}, {"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967240"]}, {"id": "e82a0976db908e6f074b926f58223ac685533c65", "title": "Audiovisual synchrony assessment for replay attack detection in talking face biometrics", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Telecom Division, Centre de D\u00e9veloppement des Technologies Avanc\u00e9es, Algiers, Algeria", "source_name": "Telecom Division, Centre de D\u00e9veloppement des Technologies Avanc\u00e9es, Algiers, Algeria", "street_adddress": "CDTA Cit\u00e9, 20 Ao\u00fbt 1956, Baba Hassen\u060c 16081, Algeria", "lat": "36.68948700", "lng": "2.98187700", "type": "edu", "country": "Algeria"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2848-2"]}, {"id": "70a69569ba61f3585cd90c70ca5832e838fa1584", "title": "Friendly Faces: Weakly Supervised Character Identification", "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"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/70a6/9569ba61f3585cd90c70ca5832e838fa1584.pdf"], "doi": []}, {"id": "e73f2839fc232c03e9f027c78bc419ee15810fe8", "title": "Flexible 3D neighborhood cascade deformable part models for object detection", "addresses": [{"name": "University of Science, Vietnam", "source_name": "University of Science, Vietnam", "street_adddress": "227 \u0110\u01b0\u1eddng Nguy\u1ec5n V\u0103n C\u1eeb, Ph\u01b0\u1eddng 4, Qu\u1eadn 5, H\u1ed3 Ch\u00ed Minh, Vietnam", "lat": "10.76291300", "lng": "106.68217170", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296413", "http://doi.org/10.1109/ICIP.2017.8296413"]}, {"id": "c5d13e42071813a0a9dd809d54268712eba7883f", "title": "Face recognition robust to head pose changes based on the RGB-D sensor", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.csis.pace.edu/~ctappert/dps/2013BTAS/Papers/Paper%2016/PID2891229.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6712718", "http://doi.org/10.1109/BTAS.2013.6712718"]}, {"id": "d6791b98353aa113d79f6fb96335aa6c7ea3b759", "title": "Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts Dartmouth", "source_name": "University of Massachusetts Dartmouth", "street_adddress": "University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu", "country": "United States"}, {"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7839179", "http://doi.org/10.1109/TNNLS.2017.2648122", "https://www.ncbi.nlm.nih.gov/pubmed/28166506", "https://www.wikidata.org/entity/Q50457237"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "addresses": [{"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"}, {"name": "University of Surrey Guildford", "source_name": "University of Surrey Guildford, UK", "street_adddress": "388 Stag Hill, Guildford GU2 7XH, UK", "lat": "51.24218390", "lng": "-0.59054210", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126999", "http://doi.org/10.1109/TIP.2015.2446944", "https://www.ncbi.nlm.nih.gov/pubmed/26087493", "https://www.wikidata.org/entity/Q40823182"]}, {"id": "e569f4bd41895028c4c009e5b46b935056188e91", "title": "FISHER VECTOR FACES IN THE WILD 3 Facial landmark detection Aligned and cropped face Dense SIFT , GMM , and FV Discriminative dim", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e569/f4bd41895028c4c009e5b46b935056188e91.pdf"], "doi": []}, {"id": "b3067deb3110e3a7566c032ac0c1e1608668ef3d", "title": "Probabilistic graphical detector fusion for localization of faces and facial parts", "addresses": [{"name": "University of Liverpool", "source_name": "University of Liverpool", "street_adddress": "Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK", "lat": "53.40617900", "lng": "-2.96670819", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6954708"]}, {"id": "b51d11fa400d66b9f9d903a60c4ebe03fd77c8f2", "title": "Proposal and implementation of a novel scheme for image and emotion recognition using Hadoop", "addresses": [{"name": "Amity University Uttar Pradesh", "source_name": "Amity University Uttar Pradesh", "street_adddress": "Amity University, Noida, Greater Noida Expressway, Noida Special Economic Zone, Bakhtawarpur, Ghaziabad, Uttar Pradesh, 201304, India", "lat": "28.54322285", "lng": "77.33274830", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8358588"]}, {"id": "3fb26f3abcf0d287243646426cd5ddeee33624d4", "title": "Joint Training of Cascaded CNN for 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": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Qin_Joint_Training_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Qin_Joint_Training_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780745", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.376", "http://doi.org/10.1109/CVPR.2016.376"]}, {"id": "3505c9b0a9631539e34663310aefe9b05ac02727", "title": "A Joint Discriminative Generative Model for Deformable Model Construction and Classification", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/pid4666647.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961732", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.24", "http://doi.org/10.1109/FG.2017.24"]}, {"id": "14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d", "title": "Correlation filter cascade for facial landmark localization", "addresses": [{"name": "Istituto Italiano di Tecnologia, Genova, Italy", "source_name": "Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy", "street_adddress": "Genoa, Metropolitan City of Genoa, Italy", "lat": "44.40564990", "lng": "8.94625600", "type": "edu", "country": "Italy"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["http://www.hamedkiani.com/uploads/5/1/8/8/51882963/wacv_presentation.pdf", "https://www.comp.nus.edu.sg/~tsim/documents/cascade-cf-landmarks.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477554", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477554", "http://doi.org/10.1109/WACV.2016.7477554"]}, {"id": "04f56dc5abee683b1e00cbb493d031d303c815fd", "title": "Scene character recognition using PCANet", "addresses": [{"name": "Xiamen University of Technology", "source_name": "Xiamen University of Technology, Xiamen 361024, China", "street_adddress": "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "lat": "24.62053900", "lng": "118.08463100", "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": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808557"]}, {"id": "bd66dc891270d858de3adf97d42ed714860ae94d", "title": "Non-semantic facial parts for face verification", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486598", "http://doi.org/10.1109/ACPR.2015.7486598"]}, {"id": "624496296af19243d5f05e7505fd927db02fd0ce", "title": "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25815/01/Pantic_Gauss-Newton_Deformable_Part_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_cvpr_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tzimiropoulos_Gauss-Newton_Deformable_Part_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909635", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.239", "http://doi.org/10.1109/CVPR.2014.239"]}, {"id": "84ae55603bffda40c225fe93029d39f04793e01f", "title": "ICB-RW 2016: International challenge on biometric recognition in the wild", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/ICB16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7550066", "http://doi.org/10.1109/ICB.2016.7550066"]}, {"id": "c872d6310f2079db0cee0e69cc96da1470055225", "title": "Heterogeneous Multi-task Learning on Non-overlapping Datasets for Facial Landmark Detection", "addresses": [{"name": "Information Technology R&D Center, Mitsubishi Electric Corporation, Kamakura, Japan", "source_name": "Information Technology R&D Center, Mitsubishi Electric Corporation, Kamakura, Japan", "street_adddress": "Kamakura, Kanagawa Prefecture, Japan", "lat": "35.31922540", "lng": "139.54668680", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46675-0_68"]}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "addresses": [{"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.pdf"], "doi": []}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "addresses": [{"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_6"]}, {"id": "a094e52771baabe4ab37ef7853f9a4f534227457", "title": "Estimation of Driver Head Yaw Angle Using a Generic Geometric Model", "addresses": [{"name": "Amrita Vishwa Vidyapeetham, India", "source_name": "Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India", "street_adddress": "Amritapuri, Vallikavu, Kerala 690546, India", "lat": "9.09368520", "lng": "76.49158540", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7464887", "http://doi.org/10.1109/TITS.2016.2551298"]}, {"id": "59b83666c1031c3f509f063b9963c7ad9781ca23", "title": "Hierarchical Committee of Deep CNNs with Exponentially-Weighted Decision Fusion for Static Facial Expression Recognition", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830590"]}, {"id": "90c4f15f1203a3a8a5bf307f8641ba54172ead30", "title": "A 2D Morphable Model of Craniofacial Profile and Its Application to Craniosynostosis", "addresses": [{"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/90c4/f15f1203a3a8a5bf307f8641ba54172ead30.pdf"], "doi": []}, {"id": "f339aeb5911229c6e2a5835ab6f32080e137781c", "title": "Revisiting a single-stage method for face detection", "addresses": [{"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01559.pdf"], "doi": []}, {"id": "9a4c45e5c6e4f616771a7325629d167a38508691", "title": "A facial features detector integrating holistic facial information and part-based model", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}, {"name": "Alexandria University", "source_name": "Alexandria University", "street_adddress": "\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, \u0627\u0644\u0643\u0648\u0631\u0646\u064a\u0634, \u0625\u0628\u0631\u0627\u0647\u064a\u0645\u064a\u0629, \u0627\u0644\u0625\u0633\u0643\u0646\u062f\u0631\u064a\u0629, 21522, \u0645\u0635\u0631", "lat": "31.21051105", "lng": "29.91314562", "type": "edu", "country": "Egypt"}, {"name": "Assiut University", "source_name": "Assiut University", "street_adddress": "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "lat": "27.18794105", "lng": "31.17009498", "type": "edu", "country": "Egypt"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Mostafa_A_Facial_Features_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301324", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301324", "http://doi.org/10.1109/CVPRW.2015.7301324"]}, {"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": [], "doi": ["http://dl.acm.org/citation.cfm?id=3278002"]}, {"id": "9f1a854d574d0bd14786c41247db272be6062581", "title": "Find Who to Look at: Turning From Action to Saliency", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8360155", "http://doi.org/10.1109/TIP.2018.2837106", "https://doi.org/10.1109/TIP.2018.2837106", "https://www.ncbi.nlm.nih.gov/pubmed/29993577"]}, {"id": "0ea7b7fff090c707684fd4dc13e0a8f39b300a97", "title": "Integrated Face Analytics Networks through Cross-Dataset Hybrid Training", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06055.pdf"], "doi": []}, {"id": "fb0f5e06048c0274c2a4056e353fa31f5790e381", "title": "2.5D face landmarking via scale-invariant feature extraction and centroid localization", "addresses": [{"name": "Universiti Malaysia Sarawak, Malaysia", "source_name": "Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Malaysia", "street_adddress": "Universiti Malaysia Sarawak, Sarawak, 94300 Kota Samarahan, Malaysia", "lat": "1.46815960", "lng": "110.42902060", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7783244"]}, {"id": "0ed96cc68b1b61e9eb4096f67d3dcab9169148b9", "title": "Emotion Recognition in Real-world Conditions with Acoustic and Visual Features", "addresses": [{"name": "Ulm University", "source_name": "Ulm University", "street_adddress": "HNU, John-F.-Kennedy-Stra\u00dfe, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland", "lat": "48.38044335", "lng": "10.01010115", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666279"]}, {"id": "c94b3a05f6f41d015d524169972ae8fd52871b67", "title": "The Fastest Deformable Part Model for Object 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"}], "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/Fastest_DPM.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yan_The_Fastest_Deformable_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909716", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.320", "http://doi.org/10.1109/CVPR.2014.320"]}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "addresses": [{"name": "Intel Corporation", "source_name": "Intel Corporation & Portland State University, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"], "doi": []}, {"id": "9367513f330964b288a4a99ce8265b2960c4cf4e", "title": "A new theoretical approach to improving face recognition in disorders of central vision: face caricaturing.", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5553/5ccf28a08439d829dee4c41c32780dcac24a.pdf"], "doi": []}, {"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "title": "A Semi-automatic Methodology for Facial Landmark Annotation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595977"]}, {"id": "86824ba374daff17ff2235484055b3bb9c464555", "title": "S-CNN: Subcategory-Aware Convolutional Networks for Object Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051100", "http://doi.org/10.1109/TPAMI.2017.2756936", "https://www.ncbi.nlm.nih.gov/pubmed/28961103", "https://www.wikidata.org/entity/Q47667340"]}, {"id": "5b0bf1063b694e4b1575bb428edb4f3451d9bf04", "title": "Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression", "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": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Yang_Facial_Shape_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406480", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.131", "http://doi.org/10.1109/ICCVW.2015.131"]}, {"id": "fd96432675911a702b8a4ce857b7c8619498bf9f", "title": "Improved Face Detection and Alignment using Cascade Deep Convolutional Network", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09364.pdf"], "doi": []}, {"id": "50236de1791a009dc77d7266c412469a22437b4b", "title": "Micro-expression recognition: an updated review of current trends, challenges and solutions", "addresses": [{"name": "Tunku Abdul Rahman University College", "source_name": "Faculty of Engineering and Technology, Tunku Abdul Rahman University College, Wilayah Persekutuan Kuala Lumpur, Malaysia", "street_adddress": "Kampus Utama, Jalan Genting Kelang, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia", "lat": "3.21622480", "lng": "101.72896110", "type": "edu", "country": "Malaysia"}, {"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1607-6"]}, {"id": "6813208b94ffa1052760d318169307d1d1c2438e", "title": "Multiple Models Fusion for Emotion Recognition in the Wild", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830582"]}, {"id": "4ae291b070ad7940b3c9d3cb10e8c05955c9e269", "title": "Automatic Detection of Naturalistic Hand-over-Face Gesture Descriptors", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2663258"]}, {"id": "0c05f60998628884a9ac60116453f1a91bcd9dda", "title": "Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data Management", "addresses": [{"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05377.pdf"], "doi": []}, {"id": "14bca107bb25c4dce89210049bf39ecd55f18568", "title": "Emotion recognition from facial images with arbitrary views", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/14bc/a107bb25c4dce89210049bf39ecd55f18568.pdf"], "doi": []}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "0acf23485ded5cb9cd249d1e4972119239227ddb", "title": "Dual coordinate solvers for large-scale structural SVMs", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1312.1743.pdf"], "doi": []}, {"id": "5cfbeae360398de9e20e4165485837bd42b93217", "title": "Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach", "addresses": [{"name": "Firat University", "source_name": "Firat University", "street_adddress": "Erzincan \u00dcniversitesi Hukuk Fak\u00fcltesi Dekanl\u0131\u011f\u0131, Sivas-Erzincan yolu, \u00dc\u00e7konak, Erzincan, Erzincan merkez, Erzincan, Do\u011fu Anadolu B\u00f6lgesi, 24000, T\u00fcrkiye", "lat": "39.72750370", "lng": "39.47127034", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": []}, {"id": "dad7b8be074d7ea6c3f970bd18884d496cbb0f91", "title": "Super-Sparse Regression for Fast Age Estimation from Faces at Test Time", "addresses": [{"name": "University of Cagliari", "source_name": "University of Cagliari, Italy", "street_adddress": "Via Universit\u00e0, 40, 09124 Cagliari CA, Italy", "lat": "39.21736570", "lng": "9.11492180", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/dad7/b8be074d7ea6c3f970bd18884d496cbb0f91.pdf"], "doi": []}, {"id": "13fd25a18ab3faebcd6a4ab95f4cc814fcda337a", "title": "Face and mouth localization of viseme", "addresses": [{"name": "Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia", "source_name": "Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia", "street_adddress": "Jalan Lembah Kesang 1/1-2, Kampung Seri Mendapat, 77300 Merlimau, Melaka, Malaysia", "lat": "2.22139640", "lng": "102.45311550", "type": "edu", "country": "Malaysia"}, {"name": "Universiti Teknologi MARA, Malaysia", "source_name": "Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia", "street_adddress": "Jalan Ilmu 1/1, 40450 Shah Alam, Selangor, Malaysia", "lat": "3.06961690", "lng": "101.50376370", "type": "edu", "country": "Malaysia"}, {"name": "Universiti Teknologi MARA, Melaka, Malaysia", "source_name": "Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia", "street_adddress": "Jalan Lembah Kesang 1/1-2, Kampung Seri Mendapat, 77300 Merlimau, Melaka, Malaysia", "lat": "2.22139640", "lng": "102.45311550", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8067385"]}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"], "doi": []}, {"id": "7643861bb492bf303b25d0306462f8fb7dc29878", "title": "Speeding up 2D-warping for pose-invariant face recognition", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163136", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163136", "http://doi.org/10.1109/FG.2015.7163136"]}, {"id": "36486944b4feeb88c0499fecd253c5a53034a23f", "title": "Deep feature selection and projection for cross-age face retrieval", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301986", "http://doi.org/10.1109/CISP-BMEI.2017.8301986"]}, {"id": "b53485dbdd2dc5e4f3c7cff26bd8707964bb0503", "title": "Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting", "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://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1012-z", "https://doi.org/10.1007/s11263-017-1012-z"]}, {"id": "239958d6778643101ab631ec354ea1bc4d33e7e0", "title": "Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods", "addresses": [{"name": "University of Plymouth", "source_name": "University of Plymouth", "street_adddress": "Charles Seale-Hayne Library, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37525010", "lng": "-4.13927692", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://mpatacchiola.github.io/doc/Head%20Pose%20Estimation%20in%20the%20Wild%20using%20Convolutional%20Neural%20Networks%20and%20Adaptive%20Gradient%20Methods%20-%20Patacchiola%20and%20Cangelosi%20-%202017.pdf", "https://pearl.plymouth.ac.uk/bitstream/handle/10026.1/9497/Patacchiola-Cangelosi-PR-postprint.pdf?isAllowed=y&sequence=3"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.009", "https://doi.org/10.1016/j.patcog.2017.06.009"]}, {"id": "bb3698df3b4f40c0b7cc523d26ffb8c5276d5a1c", "title": "An improved approach for face detection using superpixels, moment-based matching, and isosceles triangle matching", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7868528", "http://doi.org/10.1109/ICDSP.2016.7868528"]}, {"id": "22a10d8d2a2cb9055557a3b335d6706100890afb", "title": "Comparison of matrix decomposition and SIFT descriptor based methods for face alignment", "addresses": [{"name": "Eski\u015fehir Osmangazi University, Turkey", "source_name": "Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, T\u00fcrkiye", "street_adddress": "Eski\u015fehir Osmangazi \u00dcniversitesi, M\u00fchendislik Fak\u00fcltesi, 26480 Odunpazar\u0131/Eski\u015fehir, Turkey", "lat": "39.74871200", "lng": "30.47595620", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7496121", "http://doi.org/10.1109/SIU.2016.7496121"]}, {"id": "f201baf618574108bcee50e9a8b65f5174d832ee", "title": "Viewpoint-Consistent 3D Face Alignment", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"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": "Snapchat", "source_name": "Snapchat Research, Venice, CA90291", "street_adddress": "606 S Venice Blvd, Venice, CA 90291, USA", "lat": "33.98909690", "lng": "-118.46169140", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031057", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2750687", "http://doi.org/10.1109/TPAMI.2017.2750687", "https://www.ncbi.nlm.nih.gov/pubmed/28910758"]}, {"id": "ebc2a3e8a510c625353637e8e8f07bd34410228f", "title": "Dual Sparse Constrained Cascade Regression for Robust Face Alignment", "addresses": [{"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332780", "http://doi.org/10.1109/TIP.2015.2502485", "https://www.ncbi.nlm.nih.gov/pubmed/26599969", "https://www.wikidata.org/entity/Q40282695"]}, {"id": "a1e07c31184d3728e009d4d1bebe21bf9fe95c8e", "title": "On looking at faces in an automobile: Issues, algorithms and evaluation on naturalistic driving dataset", "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": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediICPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900056", "http://doi.org/10.1109/ICPR.2016.7900056", "https://doi.org/10.1109/ICPR.2016.7900056"]}, {"id": "68f09c4615291a88a6cb0268e767ca9e085844fd", "title": "Uniface: A Unified Network for Face Detection and Recognition", "addresses": [{"name": "China Mobile Suzhou Software Technology Co., Ltd, Suzhou, 215000, China", "source_name": "China Mobile Suzhou Software Technology Co., Ltd, Suzhou, 215000, China", "street_adddress": "Gusu, Suzhou, Jiangsu, China, 215000", "lat": "31.29856420", "lng": "120.58466150", "type": "company", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545051", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545051", "http://doi.org/10.1109/ICPR.2018.8545051"]}, {"id": "45e616093a92e5f1e61a7c6037d5f637aa8964af", "title": "Fine-grained evaluation on face detection in the wild", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163158"]}, {"id": "506c2fbfa9d16037d50d650547ad3366bb1e1cde", "title": "Convolutional Channel Features : Tailoring CNN to Diverse Tasks", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/506c/2fbfa9d16037d50d650547ad3366bb1e1cde.pdf"], "doi": []}, {"id": "bb83d5c7c17832d1eef14aa5d303d9dd65748956", "title": "Predicting student engagement in classrooms using facial behavioral cues", "addresses": [{"name": "IIIT Bangalore, India", "source_name": "IIIT Bangalore, India", "street_adddress": "26/C, Hosur Rd, Electronics City Phase 1, Electronic City, Bengaluru, Karnataka 560100, India", "lat": "12.84475120", "lng": "77.66323170", "type": "edu", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3139514"]}, {"id": "6a38e4bb35673a73f041e34d3f2db7067482a9b5", "title": "Emotion Recognition in the Wild with Feature Fusion and Multiple Kernel Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666277"]}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"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://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"], "doi": []}, {"id": "1389ba6c3ff34cdf452ede130c738f37dca7e8cb", "title": "A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection.", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01880.pdf"], "doi": []}, {"id": "4b3eaedac75ac419c2609e131ea9377ba8c3d4b8", "title": "Fast Newton active appearance models", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25825/01/Pantic_Fast_Newton_Active_Appearance_Models.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/kossaifi_tzimiro_pantic_icip_2014.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/kossaifi_tzimiro_pantic_icip_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025284", "http://doi.org/10.1109/ICIP.2014.7025284"]}, {"id": "ccf16bcf458e4d7a37643b8364594656287f5bfc", "title": "Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ccf1/6bcf458e4d7a37643b8364594656287f5bfc.pdf"], "doi": []}, {"id": "c34026ede413e806430b6e18151c5618e8f01fbb", "title": "Optimizing Energies for Pose-Invariant Face Recognition", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546095"]}, {"id": "e957d0673af7454dbf0a14813201b0e2570577e9", "title": "COATL - a learning architecture for online real-time detection and classification assistance for environmental data", "addresses": [{"name": "Bielefeld University", "source_name": "Bielefeld University", "street_adddress": "Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstra\u00dfe, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland", "lat": "52.02804210", "lng": "8.51148270", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899699", "http://doi.org/10.1109/ICPR.2016.7899699"]}, {"id": "56fd4c05869e11e4935d48aa1d7abb96072ac242", "title": "OpenFace 2.0: Facial Behavior Analysis Toolkit", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373812", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00019", "http://doi.org/10.1109/FG.2018.00019"]}, {"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"], "doi": []}, {"id": "a00fdf49e5e0a73eb24345cb25a0bd1383a10021", "title": "Evaluation of face image quality metrics in person identification problem", "addresses": [{"name": "Yaroslavl State University", "source_name": "Yaroslavl State University", "street_adddress": "\u042f\u0440\u0413\u0423\u00a0\u0438\u043c.\u00a0\u0414\u0435\u043c\u0438\u0434\u043e\u0432\u0430 (\u042d\u043a\u043e\u043d\u043e\u043c\u0438\u0447\u0435\u0441\u043a\u0438\u0439\u00a0\u0444\u0430\u043a\u0443\u043b\u044c\u0442\u0435\u0442), 3, \u041a\u043e\u043c\u0441\u043e\u043c\u043e\u043b\u044c\u0441\u043a\u0430\u044f \u0443\u043b\u0438\u0446\u0430, \u041a\u0438\u0440\u043e\u0432\u0441\u043a\u0438\u0439 \u0440\u0430\u0439\u043e\u043d, \u042f\u0440\u043e\u0441\u043b\u0430\u0432\u043b\u044c, \u0433\u043e\u0440\u043e\u0434\u0441\u043a\u043e\u0439 \u043e\u043a\u0440\u0443\u0433 \u042f\u0440\u043e\u0441\u043b\u0430\u0432\u043b\u044c, \u042f\u0440\u043e\u0441\u043b\u0430\u0432\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c, \u0426\u0424\u041e, 150000, \u0420\u0424", "lat": "57.62521030", "lng": "39.88456560", "type": "edu", "country": "Russia"}], "year": "2016", "pdf": ["https://fruct.org/sites/default/files/files/conference19/3_EmergingT_II/2_Evaluation_Face_Image_Quality_Metrics.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7892186", "http://doi.org/10.23919/FRUCT.2016.7892186", "https://doi.org/10.23919/FRUCT.2016.7892186"]}, {"id": "2f489bd9bfb61a7d7165a2f05c03377a00072477", "title": "Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning", "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": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2f48/9bd9bfb61a7d7165a2f05c03377a00072477.pdf"], "doi": []}, {"id": "0573f3d2754df3a717368a6cbcd940e105d67f0b", "title": "Emotion recognition in the wild challenge 2016", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531739"]}, {"id": "771a6a80dd08212d83a4e976522e1ce108881401", "title": "An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820979", "http://doi.org/10.1109/IPTA.2016.7820979"]}, {"id": "82cd5a5fec8a27887a35f1ecec684ec55eefad73", "title": "Using sparse coding for landmark localization in facial expressions", "addresses": [{"name": "Dipartimento di Informatica, Universit\u00e0 di Milano, Via Comelico 39/40, 20135, Italy", "source_name": "Dipartimento di Informatica, Università di Milano, Via Comelico 39/40, 20135, Italy", "street_adddress": "Via Giovanni Celoria, 18, 20133 Milano MI, Italy", "lat": "45.47600270", "lng": "9.23188150", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.researchgate.net/profile/Giuseppe_Boccignone/publication/265793480_Using_Sparse_Coding_for_Landmark_Localization_in_Facial_Expressions/links/541bf80b0cf241a65a0ba53a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7018369", "http://doi.org/10.1109/EUVIP.2014.7018369"]}, {"id": "c17a332e59f03b77921942d487b4b102b1ee73b6", "title": "Learning an appearance-based gaze estimator from one million synthesised images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"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": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c17a/332e59f03b77921942d487b4b102b1ee73b6.pdf"], "doi": []}, {"id": "9bd35145c48ce172b80da80130ba310811a44051", "title": "Face Detection with End-to-End Integration of a ConvNet and a 3D Model", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.00850.pdf"], "doi": []}, {"id": "2ea247029ac1b8ded60023a369e8d259a8637bd2", "title": "Efficient face frontalization in unconstrained images", "addresses": [{"name": "CVIT, IIIT Hyderabad, India", "source_name": "CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "Visiting Faculty, CVIT, IIIT Hyderabad, India", "source_name": "Visiting Faculty, CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490057"]}, {"id": "aa5eeb1ab953411e915ea5e6298474dbebfa6fb6", "title": "An efficient scheme for face detection based on contours and feature skin recognition", "addresses": [{"name": "Minia University", "source_name": "Faculty of Science, Minia University, El-Minia, Egypt", "street_adddress": "EL MENIA Raod ARD SHALABY EL\u060c Menia Governorate, Egypt", "lat": "28.12292140", "lng": "30.73154390", "type": "edu", "country": "Egypt"}, {"name": "Sohag University", "source_name": "Faculty of Science, Sohag University, Egypt", "street_adddress": "\u0645\u062f\u064a\u0646\u0629 \u0646\u0627\u0635\u0631 \u2013 \u0634\u0627\u0631\u0639 \u062c\u0627\u0645\u0639\u0629 \u0633\u0648\u0647\u0627\u062c \u0633\u0648\u0647\u0627\u062c\u060c 82524, Egypt", "lat": "26.56389140", "lng": "31.70825060", "type": "edu", "country": "Egypt"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7393056"]}, {"id": "055cd8173536031e189628c879a2acad6cf2a5d0", "title": "Fast multi-view face alignment via multi-task auto-encoders", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272740", "http://doi.org/10.1109/BTAS.2017.8272740"]}, {"id": "7e00fb79576fe213853aeea39a6bc51df9fdca16", "title": "Online multi-face detection and tracking using detector confidence and structured SVMs", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://www.es.ele.tue.nl/~sander/publications/avss15.pdf", "http://www.ics.ele.tue.nl/~tbasten/papers/AVSS2015_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301767", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301767", "http://doi.org/10.1109/AVSS.2015.7301767"]}, {"id": "9326d1390e8601e2efc3c4032152844483038f3f", "title": "Landmark Based Facial Component Reconstruction for Recognition across Pose", "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": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W01/papers/Hsu_Landmark_Based_Facial_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909956", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2014.11", "http://doi.org/10.1109/CVPRW.2014.11"]}, {"id": "dae9d0a9b77366f0cd52e38847e47691ee97bc1f", "title": "Multimodal emotion recognition based on peak frame selection from video", "addresses": [{"name": "Bah\u00e7e\u015fehir University", "source_name": "Bahcesehir University", "street_adddress": "BAU Galata, 24, Kemeralt\u0131 Caddesi, M\u00fceyyedzade, Beyo\u011flu, \u0130stanbul, Marmara B\u00f6lgesi, 34425, T\u00fcrkiye", "lat": "41.02451875", "lng": "28.97697953", "type": "edu", "country": "Turkey"}, {"name": "INRS-EMT, Montreal, Canada", "source_name": "INRS-EMT, Montreal, Canada", "street_adddress": "rue, 800 Rue de la Gaucheti\u00e8re O, Montr\u00e9al, QC, Canada", "lat": "45.49952300", "lng": "-73.56576740", "type": "edu", "country": "Canada"}, {"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11760-015-0822-0"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "303a7099c01530fa0beb197eb1305b574168b653", "title": "Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders", "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": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780742", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.373", "http://doi.org/10.1109/CVPR.2016.373"]}, {"id": "51d048b92f6680aca4a8adf07deb380c0916c808", "title": "State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "University of Erlangen-Nuremberg", "source_name": "Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Erlangen, Germany", "street_adddress": "6. Stock, Cauerstra\u00dfe 7, 91058 Erlangen, Germany", "lat": "49.57282740", "lng": "11.02863460", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51d0/48b92f6680aca4a8adf07deb380c0916c808.pdf"], "doi": []}, {"id": "83fd2d2d5ad6e4e153672c9b6d1a3785f754b60e", "title": "Quantifying naturalistic social gaze in fragile X syndrome using a novel eye tracking paradigm.", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://langcog.stanford.edu/papers_new/hall-2015-ajmg.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26079280", "http://doi.org/10.1002/ajmg.b.32331"]}, {"id": "f20ed84abcb1223f351a576ef10dfda9f277326b", "title": "Face recognition based on LBPH and regression of Local Binary features", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7846668"]}, {"id": "37ce1d3a6415d6fc1760964e2a04174c24208173", "title": "Pose-Invariant 3D Face Alignment", "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": "2015", "pdf": ["https://arxiv.org/pdf/1506.03799.pdf"], "doi": []}, {"id": "e577484e5c3ecc6f073faf124468c8ae2f827a0f", "title": "Real-time face detection during the night", "addresses": [{"name": "China Jiliang University", "source_name": "College of Information Engineering China Jiliang University, HangZhou, China 310018", "street_adddress": "China, Zhejiang Sheng, Hangzhou Shi, Jianggan Qu, XiaSha, Xueyuan St, 258\u53f7\u4e0b\u6c99\u5f00\u53d1\u533a \u90ae\u653f\u7f16\u7801: 310018", "lat": "30.31876400", "lng": "120.36397700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8248358", "http://doi.org/10.1109/ICSAI.2017.8248358"]}, {"id": "62f0d8446adee6a5e8102053a63a61af07ac4098", "title": "Facial point detection using convolutional neural network transferred from a heterogeneous task", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.vision.cs.chubu.ac.jp/MPRG/C_group/C072_yamashita2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351298", "http://doi.org/10.1109/ICIP.2015.7351298"]}, {"id": "6a931e7b7475635f089dd33e8d9a2899ae963804", "title": "Unified convolutional neural network for direct facial keypoints detection", "addresses": [{"name": "Pusan National University", "source_name": "Pusan National University, Pusan, Korea", "street_adddress": "2 Busandaehak-ro 63beon-gil, Jangjeon-dong, Geumjeong-gu, Busan, South Korea", "lat": "35.23315760", "lng": "129.07951000", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1561-3"]}, {"id": "97b86d486c836abbe8fb2cfd8810181593e2ab53", "title": "De-identification for privacy protection in multimedia content: A survey", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}, {"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": ["http://costic1206.uvigo.es/sites/default/files/Training_School/Presentations/Ribaric%20-%20De-identification%20for%20Privacy%20Protection%20-%20Part%20I%20&%20PartII.pdf", "http://researchprofiles.herts.ac.uk/portal/files/13112055/Accepted_Manuscript.pdf", "http://researchprofiles.herts.ac.uk/portal/files/8996537/IC1206_Action_Poster_2013.pdf", "http://rubioss.zemris.fer.hr/deppss/limassol2015.pdf", "https://bib.irb.hr/datoteka/823725.1-s2.0-S0923596516300856-main.pdf"], "doi": ["http://doi.org/10.1016/j.image.2016.05.020"]}, {"id": "3b64b8be33887e77e6def4c385985e43e2c15eea", "title": "Understanding Deep Representations Learned in Modeling Users Likes", "addresses": [{"name": "Institute of High Performance Computing, Singapore", "source_name": "Agency for Science, Technology and Research, Institute of High Performance Computing, Singapore", "street_adddress": "1 Fusionopolis Way, #16-16 Connexis, Singapore 138632", "lat": "1.29865730", "lng": "103.78751990", "type": "edu", "country": "Singapore"}, {"name": "SAP Innovation Center Network, Singapore", "source_name": "SAP Innovation Center Network, Singapore", "street_adddress": "30 Pasir Panjang Rd, Singapore 117440", "lat": "1.27486000", "lng": "103.79778700", "type": "company", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7484658", "http://doi.org/10.1109/TIP.2016.2576278", "https://www.ncbi.nlm.nih.gov/pubmed/27295666", "https://www.wikidata.org/entity/Q38391370"]}, {"id": "01e27b6d1af4c9c2f50e2908b5f3b2331ff24846", "title": "Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-0996-8", "https://doi.org/10.1007/s11263-017-0996-8"]}, {"id": "48729e4de8aa478ee5eeeb08a72a446b0f5367d5", "title": "Compressed face hallucination", "addresses": [{"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": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_cfh.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025819", "http://doi.org/10.1109/ICIP.2014.7025819"]}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"], "doi": []}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "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/1611.00851.pdf"], "doi": []}, {"id": "2d294bde112b892068636f3a48300b3c033d98da", "title": "Deep Multi-Center Learning for Face Alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01558.pdf"], "doi": []}, {"id": "e42998bbebddeeb4b2bedf5da23fa5c4efc976fa", "title": "Generic Active Appearance Models Revisited", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e429/98bbebddeeb4b2bedf5da23fa5c4efc976fa.pdf"], "doi": []}, {"id": "f7824758800a7b1a386db5bd35f84c81454d017a", "title": "KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05085.pdf"], "doi": []}, {"id": "3b37ef260aa1cdb43fce5ce76fdb70b4cb0dcc6c", "title": "DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning", "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"}, {"name": "Rheinische-Friedrich-Wilhelms University", "source_name": "Rheinische-Friedrich-Wilhelms University", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07637.pdf"], "doi": []}, {"id": "243e9d490fe98d139003bb8dc95683b366866c57", "title": "Distinctive Parts for Relative attributes", "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": "2014", "pdf": ["https://pdfs.semanticscholar.org/243e/9d490fe98d139003bb8dc95683b366866c57.pdf"], "doi": []}, {"id": "cc31db984282bb70946f6881bab741aa841d3a7c", "title": "Learning Grimaces by Watching TV", "addresses": [{"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02255.pdf"], "doi": []}, {"id": "a0b1990dd2b4cd87e4fd60912cc1552c34792770", "title": "Deep Constrained Local Models for Facial Landmark 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://pdfs.semanticscholar.org/a0b1/990dd2b4cd87e4fd60912cc1552c34792770.pdf"], "doi": []}, {"id": "1b8541ec28564db66a08185510c8b300fa4dc793", "title": "Affine-Transformation Parameters Regression for Face Alignment", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7328260", "http://doi.org/10.1109/LSP.2015.2499778"]}, {"id": "b908edadad58c604a1e4b431f69ac8ded350589a", "title": "Deep Face Feature for Face Alignment", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02721.pdf"], "doi": []}, {"id": "9aade3d26996ce7ef6d657130464504b8d812534", "title": "Face Alignment With Deep Regression", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7728148", "http://doi.org/10.1109/TNNLS.2016.2618340", "https://www.ncbi.nlm.nih.gov/pubmed/27831893", "https://www.wikidata.org/entity/Q50550490"]}, {"id": "d22dd4a6752a5ffa40aebd260ff63d2c2a9e1da1", "title": "Pose Invariant 3D Face Reconstruction", "addresses": [{"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": "2018", "pdf": ["https://arxiv.org/pdf/1811.05295.pdf"], "doi": []}, {"id": "5f5906168235613c81ad2129e2431a0e5ef2b6e4", "title": "A Unified Framework for Compositional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.00199.pdf"], "doi": []}, {"id": "9c373438285101d47ab9332cdb0df6534e3b93d1", "title": "Occupancy Detection in Vehicles Using Fisher Vector Image Representation.", "addresses": [{"name": "Xerox Research Center", "source_name": "Xerox Research Center", "street_adddress": "Xerox Research Centre of Canada, 2660, Speakman Drive, Sheridan Park, Erin Mills, Ont., Peel Region, Ontario, L5J 2M4, Canada", "lat": "43.51291090", "lng": "-79.66640762", "type": "edu", "country": "Canada"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1312.6024.pdf"], "doi": []}, {"id": "a4898f55f12e6393b1c078803909ea715bf71730", "title": "Where is the driver looking: Analysis of head, eye and iris for robust gaze zone estimation", "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": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/TawariChenTrivedi_ITSC2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957817", "http://doi.org/10.1109/ITSC.2014.6957817", "https://doi.org/10.1109/ITSC.2014.6957817"]}, {"id": "8ad0a88a7583af819af66cf2d9e8adb860cf9c34", "title": "Layer-wise supervised neural network for face alignment with multi-task regularization", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2016%5CConference%5C2016-ISCAS-CV-NISAIJIE%5CPID4075421.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7539153", "http://doi.org/10.1109/ISCAS.2016.7539153", "https://doi.org/10.1109/ISCAS.2016.7539153"]}, {"id": "e9809c0c6bf33cfe232a63b0a13f9b1263c58cb8", "title": "Bayesian Constrained Local Models Revisited", "addresses": [{"name": "University of Coimbra", "source_name": "University of Coimbra", "street_adddress": "Reitoria da Universidade de Coimbra, Rua de Entre-Col\u00e9gios, Almedina, Alta, Almedina, S\u00e9 Nova, Santa Cruz, Almedina e S\u00e3o Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal", "lat": "40.20759510", "lng": "-8.42566148", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["http://www.robots.ox.ac.uk/~joao/publications/pmartins_tpami2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7172556", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2462343", "http://doi.org/10.1109/TPAMI.2015.2462343", "https://www.ncbi.nlm.nih.gov/pubmed/26959675"]}, {"id": "441bf5f7fe7d1a3939d8b200eca9b4bb619449a9", "title": "Head pose estimation in the wild using approximate view manifolds", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Sundararajan_Head_Pose_Estimation_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301354", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301354", "http://doi.org/10.1109/CVPRW.2015.7301354"]}, {"id": "18a013e1c72cf579d1b215f22d298521047e98a4", "title": "Heterogeneous feature fusion-based optimal face image acquisition in visual sensor network", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7151421"]}, {"id": "321c8ba38db118d8b02c0ba209be709e6792a2c7", "title": "Learn to Combine Multiple Hypotheses for Accurate Face Alignment", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/ICCVW2013.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICCV13W/Yan-ICCVW13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Yan_Learn_to_Combine_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755924"]}, {"id": "283d226e346ac3e7685dd9a4ba8ae55ee4f2fe43", "title": "Bayesian Data Association for Temporal Scene Understanding", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/283d/226e346ac3e7685dd9a4ba8ae55ee4f2fe43.pdf"], "doi": []}, {"id": "7cfbf90368553333b47731729e0e358479c25340", "title": "Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment", "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": ["http://www.andrew.cmu.edu/user/kseshadr/TPAMI_2016_Paper_Final_Submission.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346480", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2505301", "http://doi.org/10.1109/TPAMI.2015.2505301", "https://www.ncbi.nlm.nih.gov/pubmed/26660702"]}, {"id": "74875368649f52f74bfc4355689b85a724c3db47", "title": "Object detection by labeling superpixels", "addresses": [{"name": "National Laboratory of Pattern Recognition, Chinese Academy of Sciences", "source_name": "National Laboratory of Pattern Recognition, Institute of Automation of Chinese, Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_072.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_072_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299146", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299146", "http://doi.org/10.1109/CVPR.2015.7299146"]}, {"id": "0931bef0a9c8c153184a1f9c286cf4883cbe99b6", "title": "Combining feature-level and decision-level fusion in a hierarchical classifier for emotion recognition in the wild", "addresses": [{"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s12193-015-0203-6"]}, {"id": "3acb6b3e3f09f528c88d5dd765fee6131de931ea", "title": "Novel representation for driver emotion recognition in motor vehicle videos", "addresses": [{"name": "California State University", "source_name": "California State University, Fullerton", "street_adddress": "800 N State College Blvd, Fullerton, CA 92831, USA", "lat": "33.88292260", "lng": "-117.88692610", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2017/novelRepresentation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296393", "http://doi.org/10.1109/ICIP.2017.8296393"]}, {"id": "307aa94a046a7afa23ffd2ea0c9020e057b238bd", "title": "Learning Dense Facial Correspondences in Unconstrained Images", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00536.pdf"], "doi": []}, {"id": "81e366ed1834a8d01c4457eccae4d57d169cb932", "title": "Pose-Configurable Generic Tracking of Elongated Objects", "addresses": [{"name": "Gdansk University of Technology", "source_name": "Gdansk University of Technology", "street_adddress": "PG, Romualda Traugutta, Kr\u00f3lewska Dolina, Wrzeszcz G\u00f3rny, Gda\u0144sk, pomorskie, 80-233, RP", "lat": "54.37086525", "lng": "18.61716016", "type": "edu", "country": "Poland"}], "year": "2013", "pdf": ["http://www-public.int-edu.eu/~horain/Publications/Wesierski%20ICCV_2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Wesierski_Pose-Configurable_Generic_Tracking_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751474", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.363", "http://doi.org/10.1109/ICCV.2013.363"]}, {"id": "04c07ecaf5e962ac847059ece3ae7b6962b4e5c4", "title": "Multi-view common space learning for emotion recognition in the wild", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997631"]}, {"id": "0293721d276856f0425d4417e22381de3350ac32", "title": "Customer Satisfaction Measuring Based on the Most Significant Facial Emotion", "addresses": [{"name": "University of Paris-Est", "source_name": "University of Paris-Est, Gaspard-Monge Computer Science Laboratory A3SI, ESIEE Paris, CNRS, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84077910", "lng": "2.58732590", "type": "edu", "country": "France"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": ["https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/file/RK_SSD_2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570588", "https://hal-upec-upem.archives-ouvertes.fr/hal-01790317/document"]}, {"id": "eb48170a6e1e020f002a6a0a808c1934d5c760b8", "title": "A Feasibility Study of Autism Behavioral Markers in Spontaneous Facial, Visual, and Hand Movement Response Data", "addresses": [{"name": "Old Dominion University", "source_name": "Old Dominion University", "street_adddress": "Old Dominion University, Elkhorn Avenue, Lamberts Point, Norfolk, Virginia, 23508, USA", "lat": "36.88568200", "lng": "-76.30768579", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8091011", "http://doi.org/10.1109/TNSRE.2017.2768482", "https://www.ncbi.nlm.nih.gov/pubmed/29432106"]}, {"id": "7aafeb9aab48fb2c34bed4b86755ac71e3f00338", "title": "Real Time 3D Facial Movement Tracking Using a Monocular Camera", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7aaf/eb9aab48fb2c34bed4b86755ac71e3f00338.pdf"], "doi": []}, {"id": "1aa766bbd49bac8484e2545c20788d0f86e73ec2", "title": "Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study", "addresses": [{"name": "Oak Ridge National Laboratory", "source_name": "Oak Ridge National Laboratory", "street_adddress": "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://inside.mines.edu/~jpaone/papers/IV15_BaselineFaceDetection_SHRP2NDS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7225682", "http://doi.org/10.1109/IVS.2015.7225682"]}, {"id": "9ab963e473829739475b9e47514f454ab467a5af", "title": "A Fully End-to-End Cascaded CNN for Facial Landmark Detection", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961742", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.33", "http://doi.org/10.1109/FG.2017.33"]}, {"id": "18ab4e43e475a0a066912873c694f998ffe1a37e", "title": "GAGAN: Geometry-Aware Generative Adversarial Networks", "addresses": [{"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.00684.pdf"], "doi": []}, {"id": "a2136b13aa0bb4ea4e7fa99a6c657b11dffff563", "title": "Spatially Coherent Feature Learning for Pose-Invariant Facial Expression Recognition", "addresses": [{"name": "Wayne State University", "source_name": "Wayne State University", "street_adddress": "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu", "country": "United States"}, {"name": "Jiangsu University", "source_name": "Jiangsu University", "street_adddress": "\u6c5f\u82cf\u5927\u5b66, 301, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212013, \u4e2d\u56fd", "lat": "32.20302965", "lng": "119.50968362", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3176646"]}, {"id": "b7461aac36fc0b8a24ecadf6c5b5caf54f2aa2f7", "title": "Two-stage cascade model for unconstrained face detection", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7528404"]}, {"id": "e328d19027297ac796aae2470e438fe0bd334449", "title": "Automatic Micro-expression Recognition from Long Video Using a Single Spotted Apex", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Multimedia University", "source_name": "Multimedia University", "street_adddress": "Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia", "lat": "2.92749755", "lng": "101.64185301", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e328/d19027297ac796aae2470e438fe0bd334449.pdf"], "doi": []}, {"id": "64ba203c8cfc631d5f3f20419880523155fbeeb2", "title": "Local dominant binary patterns for recognition of multi-view facial expressions", "addresses": [{"name": "Indian Statistical Institute, Kolkata", "source_name": "Indian Statistical Institute, Kolkata", "street_adddress": "Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India", "lat": "22.64815210", "lng": "88.37681700", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3010008"]}, {"id": "0a23d374c6cf71a65e845569230420362fe4903a", "title": "A discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["http://mplab.ucsd.edu/~ksikka/in_the_wild.pdf", "http://staff.estem-uc.edu.au/roland/files/2009/05/Dhall_Sikka_Littlewort_Goecke_Bartlett_WACV2014_ADiscriminativePartsBasedModelApproachForFiducialPointsFreeAndShapeConstrainedHeadPoseNormalisationInTheWild.pdf", "http://staff.estem-uc.edu.au/roland/files/2009/05/Dhall_Sikka_Littlewort_Goecke_Bartlett_WACV2014_supplementary.pdf", "http://users.cecs.anu.edu.au/~adhall/Head_Pose_Normalisation_in_The_Wild.pdf", "http://users.cecs.anu.edu.au/~adhall/supplementary_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835991", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835729", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835991", "http://doi.org/10.1109/WACV.2014.6835991"]}, {"id": "1b150248d856f95da8316da868532a4286b9d58e", "title": "Analyzing 3D Objects in Cluttered Images", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/6724/41000751d58396790f4c993419d70f6af3f4.pdf"], "doi": []}, {"id": "86c5478f21c4a9f9de71b5ffa90f2a483ba5c497", "title": "Kernel Selection using Multiple Kernel Learning and Domain Adaptation in Reproducing Kernel Hilbert Space, for Face Recognition under Surveillance Scenario", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00660.pdf"], "doi": []}, {"id": "03f98c175b4230960ac347b1100fbfc10c100d0c", "title": "Supervised Descent Method and Its Applications to Face Alignment", "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": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/intraface.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a532.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Xiong_Supervised_Descent_Method_2013_CVPR_paper.pdf", "http://www.gatsby.ucl.ac.uk/~szabo/talks/tea_talk_Gatsby/Zoltan_Szabo_tea_talk_16_03_2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618919", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.75", "http://doi.org/10.1109/CVPR.2013.75", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=2175&context=robotics"]}, {"id": "55c4efc082a8410b528af7325de8148b80cf41e3", "title": "Integrated System for Face Detection, Clustering and Recognition", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3231899"]}, {"id": "b5f3b0f45cf7f462a9c463a941e34e102a029506", "title": "From individual to group-level emotion recognition: EmotiW 5.0", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3143004"]}, {"id": "b3465625ada74af38feca2d5067c5607b7d7fe16", "title": "Anchor Cascade for Efficient Face Detection", "addresses": [{"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8576555"]}, {"id": "c20b2d365186f4471950fbe1ef8755de90efc000", "title": "Face verification with fully dynamic size blocks based on landmark detection", "addresses": [{"name": "Institute of Information Technology", "source_name": "Institute of Information Technology", "street_adddress": "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "lat": "23.72898990", "lng": "90.39826820", "type": "edu", "country": "Bangladesh"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6850737"]}, {"id": "1f9b2f70c24a567207752989c5bd4907442a9d0f", "title": "Deep Representations to Model User 'Likes'", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Institute for Infocomm Research, Singapore", "source_name": "Institute for Infocomm Research, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1f9b/2f70c24a567207752989c5bd4907442a9d0f.pdf"], "doi": []}, {"id": "034b3f3bac663fb814336a69a9fd3514ca0082b9", "title": "Unifying holistic and Parts-Based Deformable Model fitting", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_037_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/alabort_cvpr2015.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/unifying_holistic_parts_based.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298991", "http://doi.org/10.1109/CVPR.2015.7298991", "https://doi.org/10.1109/CVPR.2015.7298991"]}, {"id": "93d903d2e48d6a8ad3e3d2aff2e57622efe649cd", "title": "Local saliency-inspired binary patterns for automatic recognition of multi-view facial expression", "addresses": [{"name": "Indian Statistical Institute, Kolkata", "source_name": "Indian Statistical Institute, Kolkata", "street_adddress": "Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India", "lat": "22.64815210", "lng": "88.37681700", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532432", "http://doi.org/10.1109/ICIP.2016.7532432"]}, {"id": "9ca0626366e136dac6bfd628cec158e26ed959c7", "title": "In-the-wild Facial Expression Recognition in Extreme Poses", "addresses": [{"name": "University of Nottingham Ningbo China", "source_name": "University of Nottingham Ningbo China", "street_adddress": "199 Taikang E Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.80344900", "lng": "121.56160900", "type": "edu", "country": "China"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1811.02194.pdf"], "doi": []}, {"id": "2742a61d32053761bcc14bd6c32365bfcdbefe35", "title": "Learning Transformations for Clustering and Classification", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1309.2074.pdf"], "doi": []}, {"id": "8d646ac6e5473398d668c1e35e3daa964d9eb0f6", "title": "Memory-efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment.", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08481.pdf"], "doi": []}, {"id": "9901f473aeea177a55e58bac8fd4f1b086e575a4", "title": "Human and sheep facial landmarks localisation by triplet interpolated features", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.04954.pdf"], "doi": []}, {"id": "b9812f16ee3303ca0e32f9cfe38474fe69812624", "title": "3D Face Reconstruction and Dynamic Feature Extraction for Pose-Invariant Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://download.atlantis-press.com/article/10146.pdf"], "doi": ["https://doi.org/10.2991/3ca-13.2013.30"]}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"], "doi": []}, {"id": "b73d9e1af36aabb81353f29c40ecdcbdf731dbed", "title": "Head Pose Estimation on Top of Haar-Like Face Detection: A Study Using the Kinect Sensor", "addresses": [{"name": "King Saud University", "source_name": "King Saud University", "street_adddress": "King Saud University \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0645\u0644\u0643 \u0633\u0639\u0648\u062f, road_16, King Saud University District, Al Maather Municipality, \u0627\u0644\u0631\u064a\u0627\u0636, \u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0631\u064a\u0627\u0636, 12393 4057, \u0627\u0644\u0633\u0639\u0648\u062f\u064a\u0629", "lat": "24.72464030", "lng": "46.62335012", "type": "edu", "country": "Saudi Arabia"}], "year": "2015", "pdf": ["http://www.mdpi.com/1424-8220/15/9/20945/pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26343651", "http://doi.org/10.3390/s150920945", "https://www.wikidata.org/entity/Q36176047"]}, {"id": "ca537e1726a8d8c371a71bbd6d9098774ab51955", "title": "3D Reconstruction of \u201cIn-the-Wild\u201d Faces in Images and Videos", "addresses": [{"name": "University of Exeter", "source_name": "University of Exeter", "street_adddress": "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "lat": "50.73693020", "lng": "-3.53647672", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359431", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2832138", "http://doi.org/10.1109/TPAMI.2018.2832138", "https://www.ncbi.nlm.nih.gov/pubmed/29993707"]}, {"id": "8f08b2101d43b1c0829678d6a824f0f045d57da5", "title": "Supplementary Material for : Active Pictorial Structures Epameinondas Antonakos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8f08/b2101d43b1c0829678d6a824f0f045d57da5.pdf"], "doi": []}, {"id": "4c078c2919c7bdc26ca2238fa1a79e0331898b56", "title": "Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03409.pdf"], "doi": []}, {"id": "22894c7a84984bd4822dcfe7c76a74673a242c36", "title": "Automatic emotion recognition in the wild using an ensemble of static and dynamic representations", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "Sabanci University", "source_name": "Sabanci University", "street_adddress": "Sabanci Universitesi, Preveze Cad., Orta Mahallesi, Tepe\u00f6ren, Tuzla, \u0130stanbul, Marmara B\u00f6lgesi, 34953, T\u00fcrkiye", "lat": "40.89271590", "lng": "29.37863323", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997634"]}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"], "doi": []}, {"id": "1b794b944fd462a2742b6c2f8021fecc663004c9", "title": "A Hierarchical Probabilistic Model for Facial Feature Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1709.05732.pdf"], "doi": []}, {"id": "1610d2d4947c03a89c0fda506a74ba1ae2bc54c2", "title": "Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variation", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785119", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.54", "http://doi.org/10.1109/3DV.2016.54"]}, {"id": "cc7e66f2ba9ac0c639c80c65534ce6031997acd7", "title": "Facial Descriptors for Identity-Preserving Multiple People Tracking", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/cc7e/66f2ba9ac0c639c80c65534ce6031997acd7.pdf"], "doi": []}, {"id": "fe9d9c298d2e0c72408668fcff996e4bf58cc6c6", "title": "Accurate detection of human face position in the environmental images using Gabor wavelet transformations", "addresses": [{"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8252162", "http://doi.org/10.1109/sai.2017.8252162"]}, {"id": "993374c1c9d58a3dec28160188ff6ac1227d02f5", "title": "WHoG: A weighted HoG-based scheme for the detection of birds and identification of their poses in natural environments", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7838650", "http://doi.org/10.1109/ICARCV.2016.7838650"]}, {"id": "845c5e3f264d4a5d660ff0abc81c84778ceb324e", "title": "Robust Face Recognition Providing the Identity and Its Reliability Degree Combining Sparse Representation and Multiple Features", "addresses": [{"name": "University of Milan", "source_name": "University of Milan", "street_adddress": "Milan Avenue, Ray Mar Terrace, University City, St. Louis County, Missouri, 63130, USA", "lat": "38.67966620", "lng": "-90.32628160", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/845c/5e3f264d4a5d660ff0abc81c84778ceb324e.pdf"], "doi": []}, {"id": "152683f3ac99f829b476ea1b1b976dec6e17b911", "title": "Evaluation of head pose estimation methods for a non-cooperative biometric system", "addresses": [{"name": "Lodz University of Technology", "source_name": "Lodz University of Technology, ul. Wolczanska 221/223, 90-924, Poland", "street_adddress": "Stefana \u017beromskiego 116, 90-924 \u0141\u00f3d\u017a, Poland", "lat": "51.75371460", "lng": "19.45171760", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7529773", "http://doi.org/10.1109/MIXDES.2016.7529773"]}, {"id": "a255a54b8758050ea1632bf5a88a201cd72656e1", "title": "Nonparametric Facial Feature Localization", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W16/papers/Tamersoy_Nonparametric_Facial_Feature_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6595969", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2013.160", "http://doi.org/10.1109/CVPRW.2013.160"]}, {"id": "18c6c92c39c8a5a2bb8b5673f339d3c26b8dcaae", "title": "Learning invariant representations and applications to face verification", "addresses": [{"name": "McGovern Institute for Brain Research", "source_name": "McGovern Institute for Brain Research", "street_adddress": "McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.36262950", "lng": "-71.09144810", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/18c6/c92c39c8a5a2bb8b5673f339d3c26b8dcaae.pdf"], "doi": []}, {"id": "565590af15af3d02f0b592b2e201e36708e4fe50", "title": "Biometric recognition system for challenging faces", "addresses": [{"name": "Jadavpur University", "source_name": "Jadavpur University", "street_adddress": "Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, H\u0101ora, West Bengal, 700098, India", "lat": "22.56115370", "lng": "88.41310194", "type": "edu", "country": "India"}, {"name": "Electronics and Communication Sciences Unit, Indian Statistical Institute, India", "source_name": "Electronics and Communication Sciences Unit, Indian Statistical Institute, India", "street_adddress": "Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India", "lat": "22.64815210", "lng": "88.37681700", "type": "edu", "country": "India"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490063"]}, {"id": "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "title": "To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04823.pdf"], "doi": []}, {"id": "30cd39388b5c1aae7d8153c0ab9d54b61b474ffe", "title": "Deep Recurrent Regression for Facial Landmark Detection", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1510.09083.pdf"], "doi": []}, {"id": "9628af8b8496a2e69c8eb8a33e2db2db62551e9c", "title": "Deep Learning for Illumination Invariant Facial Expression Recognition", "addresses": [{"name": "Coventry University", "source_name": "Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Coventry, UK", "street_adddress": "1 Gulson Rd, Coventry CV1 2JH, UK", "lat": "52.40528980", "lng": "-1.49965930", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489123", "http://doi.org/10.1109/IJCNN.2018.8489123"]}, {"id": "6966d9d30fa9b7c01523425726ab417fd8428790", "title": "Exemplar-Based Face Parsing", "addresses": [{"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013.pdf", "http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013_poster.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d484.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Smith_Exemplar-Based_Face_Parsing_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619291", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.447", "http://doi.org/10.1109/CVPR.2013.447"]}, {"id": "5632ba72b2652df3b648b2ee698233e76a4eee65", "title": "Reconstruction of 3D facial image using a single 2D image", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Newcastle", "source_name": "University of Newcastle", "street_adddress": "University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia", "lat": "-33.35788990", "lng": "151.37834708", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8346387"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "addresses": [{"name": "Fraunhofer", "source_name": "Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany", "street_adddress": "Fraunhoferstra\u00dfe 1, 76131 Karlsruhe, Germany", "lat": "49.01546000", "lng": "8.42579990", "type": "company", "country": "Germany"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "f25aa838fb44087668206bf3d556d31ffd75235d", "title": "Vinereactor: Crowdsourced Spontaneous Facial Expression Data", "addresses": [{"name": "Villanova University", "source_name": "Villanova University", "street_adddress": "Villanova University, East Lancaster Avenue, Radnor Township, Delaware County, Pennsylvania, 19010, USA", "lat": "40.03677740", "lng": "-75.34202332", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912038"]}, {"id": "06b6606e47e071bbe070093c78120207578126fd", "title": "Total Moving Face Reconstruction", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://grail.cs.washington.edu/wp-content/uploads/2015/08/suwajanakorn2014tmf.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8692/86920796.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10593-2_52"]}, {"id": "b48d3694a8342b6efc18c9c9124c62406e6bf3b3", "title": "Recurrent Convolutional Shape Regression", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Snapchat Research, Venice, CA", "source_name": "Snap Research, Venice, CA, United States", "street_adddress": "Venice, Los Angeles, CA, USA", "lat": "33.98504690", "lng": "-118.46948320", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305545", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2810881", "http://doi.org/10.1109/TPAMI.2018.2810881", "https://www.ncbi.nlm.nih.gov/pubmed/29994580"]}, {"id": "aa127e6b2dc0aaccfb85e93e8b557f83ebee816b", "title": "Advancing human pose and gesture recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Wolfson College", "source_name": "Wolfson College", "street_adddress": "Wolfson College, Linton Road, Norham Manor, Oxford, Oxon, South East, England, OX2 6UD, UK", "lat": "51.77110760", "lng": "-1.25361700", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aa12/7e6b2dc0aaccfb85e93e8b557f83ebee816b.pdf"], "doi": []}, {"id": "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "title": "Mixture of parts revisited: Expressive part interactions for Pose Estimation", "addresses": [{"name": "Indian Institute of Technology Madras, Chennai, India", "source_name": "Indian Institute of Technology Madras, Chennai, India", "street_adddress": "Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India", "lat": "12.99149290", "lng": "80.23369070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6791.pdf"], "doi": []}, {"id": "74325f3d9aea3a810fe4eab8863d1a48c099de11", "title": "Regression-Based Image Alignment for General Object Categories", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}, {"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": "2014", "pdf": ["https://arxiv.org/pdf/1407.1957.pdf"], "doi": []}, {"id": "086655743dc5f16563c012ad43b2f9d06771d9c0", "title": "Near real-time face parsing", "addresses": [{"name": "CVIT, IIIT Hyderabad, India", "source_name": "CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2013", "pdf": ["http://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/images/ConferencePapers/2013/Digvijay2013Real.pdf", "http://web2py.iiit.ac.in/research_centres/publications/download/inproceedings.pdf.ad7852325354d4f4.44696776696a6179323031335265616c2e706466.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6776192"]}, {"id": "1c1a98df3d0d5e2034ea723994bdc85af45934db", "title": "Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://www.cs.nott.ac.uk/~pszmv/Documents/ICCV-300w_cameraready.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Jaiswal_Guided_Unsupervised_Learning_2013_ICCV_paper.pdf", "http://www.researchgate.net/profile/Michel_Valstar/publication/262361649_Guided_Unsupervised_Learning_of_Mode_Specific_Models_for_Facial_Point_Detection_in_the_Wild/links/54006a5b0cf24c81027deadb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755921", "http://doi.org/10.1109/ICCVW.2013.56"]}, {"id": "8633732d9f787f8497c2696309c7d70176995c15", "title": "Multi-objective convolutional learning for face labeling", "addresses": [{"name": "Baidu Research, USA", "source_name": "Baidu Research, USA", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"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": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr15_face_labeling.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cvpr15_facel_labeling_supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2015/supplemental/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_013.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_013_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_013_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298967", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298967", "http://doi.org/10.1109/CVPR.2015.7298967"]}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805472", "http://doi.org/10.1109/VCIP.2016.7805472"]}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"], "doi": []}, {"id": "85674b1b6007634f362cbe9b921912b697c0a32c", "title": "Optimizing Facial Landmark Detection by Facial Attribute Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8567/4b1b6007634f362cbe9b921912b697c0a32c.pdf"], "doi": []}, {"id": "0750c796467b6ef60b0caff5fb199337d54d431e", "title": "Face detection method based on histogram of sparse code in tree deformable model", "addresses": [{"name": "Chongqing University of Posts and Telecommunications", "source_name": "Chongqing University of Posts and Telecommunications", "street_adddress": "\u91cd\u5e86\u90ae\u7535\u5927\u5b66, \u5d07\u6587\u8def, \u6e1d\u4e2d\u533a, \u9ec4\u6877\u57ad, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400065, \u4e2d\u56fd", "lat": "29.53570460", "lng": "106.60482474", "type": "edu", "country": "China"}, {"name": "University of North Carolina Wilmington", "source_name": "University of North Carolina Wilmington", "street_adddress": "Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA", "lat": "34.23755810", "lng": "-77.92701290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7873015", "http://doi.org/10.1109/ICMLC.2016.7873015"]}, {"id": "3a8846ca16df5dfb2daadc189ed40c13d2ddc0c5", "title": "Validation loss for landmark detection", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10143.pdf"], "doi": []}, {"id": "b4362cd87ad219790800127ddd366cc465606a78", "title": "A Smartphone-Based Automatic Diagnosis System for Facial Nerve Palsy", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/b436/2cd87ad219790800127ddd366cc465606a78.pdf"], "doi": []}, {"id": "44f433c5db087664cd5fae273763a2d2baf03bfd", "title": "Continuous Trade-off Optimization Between Fast and Accurate Deep Face Detectors", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11582.pdf"], "doi": []}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"], "doi": []}, {"id": "1a6c9ef99bf0ab9835a91fe5f1760d98a0606243", "title": "ConceptMap: Mining Noisy Web Data for Concept Learning", "addresses": [{"name": "Bilkent University", "source_name": "Bilkent University", "street_adddress": "Bilkent \u00dcniversitesi, 3. Cadde, \u00dcniversiteler Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "lat": "39.87204890", "lng": "32.75395155", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": ["http://repository.bilkent.edu.tr/bitstream/handle/11693/27008/bilkent-research-paper.pdf;jsessionid=841C6C1E9F721920D6E2B18E140A83CD?sequence=1", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8695/86950439.pdf", "http://www.researchgate.net/profile/Eren_Golge/publication/265528981_ConceptMap_Mining_noisy_web_data_for_concept_learning/links/54118fa20cf264cee28b3fdd.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10584-0_29"]}, {"id": "04661729f0ff6afe4b4d6223f18d0da1d479accf", "title": "From Facial Parts Responses to Face Detection: A Deep Learning Approach", "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"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.06451.pdf"], "doi": []}, {"id": "0d746111135c2e7f91443869003d05cde3044beb", "title": "Partial face detection for continuous authentication", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "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": "2016", "pdf": ["https://arxiv.org/pdf/1603.09364.pdf"], "doi": []}, {"id": "93dd4e512cd7647aecbfc0cd4767adf5d9289c3d", "title": "Pose-based composition improvement for portrait photographs", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "RMIT University, Vietnam", "source_name": "RMIT University, Vietnam", "street_adddress": "RMIT University Vietnam - Saigon South Campus, 702, Nguy\u1ec5n V\u0103n Linh, Khu 3 - Khu \u0110\u1ea1i h\u1ecdc, Ph\u01b0\u1eddng T\u00e2n Phong, Qu\u1eadn 7, Tp HCM, 756604, Vi\u1ec7t Nam", "lat": "10.72991265", "lng": "106.69320824", "type": "edu", "country": "Vietnam"}, {"name": "Tolendata Singapore R&D Centre, Singapore", "source_name": "Tolendata Singapore R&D Centre Private Limited, Singapore", "street_adddress": "Nestle R&D Center (Pte) Ltd, 29 Quality Rd, Singapore 618802", "lat": "1.33016270", "lng": "103.71021430", "type": "company", "country": "Singapore"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001962.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952499", "http://doi.org/10.1109/ICASSP.2017.7952499", "https://doi.org/10.1109/ICASSP.2017.7952499"]}, {"id": "e57014b4106dd1355e69a0f60bb533615a705606", "title": "Following event detection method based on human skeleton motion analysis by Kinect sensor", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "Institute of Energy, Jiangxi Academy of Sciences, Nanchang, China", "source_name": "Institute of Energy, Jiangxi Academy of Sciences, Nanchang, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.68352900", "lng": "115.93734700", "type": "edu", "country": "China"}, {"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s13748-018-0143-y", "https://doi.org/10.1007/s13748-018-0143-y"]}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "f3495bf7f7d827c72cc4e7a4850eaf54a998db11", "title": "Trends and Controversies", "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": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "Maastricht University", "source_name": "Maastricht University", "street_adddress": "UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland", "lat": "50.83367120", "lng": "5.71589000", "type": "edu", "country": "Netherlands"}, {"name": "SensoMotoric Instruments", "source_name": "SensoMotoric Instruments (SMI)", "street_adddress": "236 Lewis Wharf, Boston, MA 02110, USA", "lat": "42.36329100", "lng": "-71.05010180", "type": "company", "country": "United States"}, {"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}, {"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Naples Federico II", "source_name": "University of Naples Federico II", "street_adddress": "Corso Umberto I, 40, 80138 Napoli NA, Italy", "lat": "40.84549200", "lng": "14.25780580", "type": "edu", "country": "Italy"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Southampton", "source_name": "University of Southampton", "street_adddress": "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu", "country": "United Kingdom"}, {"name": "Universit\u00e0 di Salerno Italy", "source_name": "Universit\u00e0 di Salerno Italy", "street_adddress": "Universit\u00e0, Autostrada del Mediterraneo, Fisciano, SA, CAM, 84084, Italia", "lat": "40.76469490", "lng": "14.78891510", "type": "edu", "country": "Italy"}, {"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2018", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/mex201803.issue.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423530", "http://doi.ieeecomputersociety.org/10.1109/MIS.2018.033001416", "http://doi.org/10.1109/MIS.2018.033001416"]}, {"id": "33f7e78950455c37236b31a6318194cfb2c302a4", "title": "Parameterizing Object Detectors in the Continuous Pose Space", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Disney Research Pittsburgh", "source_name": "Disney Research Pittsburgh", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/33f7/e78950455c37236b31a6318194cfb2c302a4.pdf"], "doi": []}, {"id": "ecd6506cc3195620822e1f103b2faa96c1e8c0fc", "title": "Deepgender: real-time gender classification using deep learning for smartphones", "addresses": [{"name": "Bahria University", "source_name": "Bahria University, Islamabad, Pakistan", "street_adddress": "Sector E-8\u060c Shangrilla Rd, E 8/1 E-8, Islamabad, Islamabad Capital Territory, Pakistan", "lat": "33.71574460", "lng": "73.02941240", "type": "edu", "country": "Pakistan"}, {"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "National Textile University", "source_name": "National Textile University, Faisalabad, Pakistan", "street_adddress": "Lahore - Sheikhupura - Faisalabad Rd, Manawala, Faisalabad, Punjab 37610, Pakistan", "lat": "31.46192890", "lng": "73.14860980", "type": "edu", "country": "Pakistan"}, {"name": "Government College University Faisalabad", "source_name": "Government College University Faisalabad, Faisalabad, Pakistan", "street_adddress": "Kotwali Rd, Gurunanakpura, Faisalabad, Punjab 38000, Pakistan", "lat": "31.41611100", "lng": "73.06996880", "type": "edu", "country": "Pakistan"}, {"name": "University of Engineering and Technology", "source_name": "Institute of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan", "street_adddress": "Institute of Mechatronics Engineering, Phase 5 Hayatabad, Peshawar, Khyber Pakhtunkhwa, Pakistan", "lat": "33.98857320", "lng": "71.43559500", "type": "edu", "country": "Pakistan"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-017-0714-3"]}, {"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"}, {"name": "Utechzone Co. Ltd., New Taipei City, Taiwan", "source_name": "Utechzone Co. Ltd., New Taipei City, Taiwan 235", "street_adddress": "Zhonghe District, New Taipei City, Taiwan 235", "lat": "24.99444600", "lng": "121.49702940", "type": "company", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272721", "http://doi.org/10.1109/BTAS.2017.8272721"]}, {"id": "21765df4c0224afcc25eb780bef654cbe6f0bc3a", "title": "Multi-channel Correlation Filters", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751493"]}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"], "doi": []}, {"id": "b06f2949eb748331c40a8b2381517fa09757ad17", "title": "Illumination Normalization in Face Recognition Using DCT and Supporting Vector Machine ( SVM )", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b06f/2949eb748331c40a8b2381517fa09757ad17.pdf"], "doi": []}, {"id": "32a8c1bf38f3057fdb808d27d5c1a82a168fc100", "title": "PD2T: Person-Specific Detection, Deformable Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/2017_pami_offline_deformable_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094942", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2769654", "http://doi.org/10.1109/TPAMI.2017.2769654", "https://www.ncbi.nlm.nih.gov/pubmed/29990150"]}, {"id": "5c91fc106cfe9d57a9b149c1af29ca84d403fc7e", "title": "3D Pose Tracking With Multitemplate Warping and SIFT Correspondences", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "GuangXi Cast Animation Company, Ltd., Nanning, China", "source_name": "GuangXi Cast Animation Company, Ltd., Nanning, China", "street_adddress": "Nanning, Guangxi, China", "lat": "22.81700200", "lng": "108.36654300", "type": "company", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7147794", "http://doi.org/10.1109/TCSVT.2015.2452782"]}, {"id": "dda35768681f74dafd02a667dac2e6101926a279", "title": "Multi-layer temporal graphical model for head pose estimation in real-world videos", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://www.cim.mcgill.ca/~clark/vmrl/web-content/papers/jjclark_icip_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025686", "http://doi.org/10.1109/ICIP.2014.7025686"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "7811fd02bb77e2f6644f34c0f445d096199c3c2f", "title": "Model-Free Head Pose Estimation Based on Shape Factorisation and Particle Filtering", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7811/fd02bb77e2f6644f34c0f445d096199c3c2f.pdf"], "doi": []}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "ddb1a392582c624c9116cb00eac01aba220fad84", "title": "Face frontalization enhanced by deep learning", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bah\u00e7e\u015fehir \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye", "street_adddress": "Istanbul, Turkey", "lat": "41.00823760", "lng": "28.97835890", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960615"]}, {"id": "671bfefb22d2044ab3e4402703bb88a10a7da78a", "title": "Triple consistency loss for pairing distributions in GAN-based face synthesis.", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03492.pdf"], "doi": []}, {"id": "2dc34d0e991c5df59b9c0a6022ece9430a913bb5", "title": "Discriminant Patch Representation for RGB-D Face Recognition Using Convolutional Neural Networks", "addresses": [{"name": "Sfax University", "source_name": "Laboratory of Computer and Embedded Systems, Sfax University, Sfax, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.06829.pdf"], "doi": []}, {"id": "e03f69bad7e6537794a50a99da807c9df4ff5186", "title": "Unsupervised method of Domain Adaptation on representation of discriminatory regions of the face image for surveillance face datasets", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2709060"]}, {"id": "2ce84465b9759166effc7302c2f5339766cc523d", "title": "Sparsity-based joint gaze correction and face beautification for conferencing video", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://research.nii.ac.jp/~cheung/2015/vcip2015_nii.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7457830", "http://doi.org/10.1109/VCIP.2015.7457830"]}, {"id": "3251f40ed1113d592c61d2017e67beca66e678bb", "title": "Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization", "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": [], "doi": ["http://doi.org/10.1007/978-3-319-65172-9_17"]}, {"id": "37619564574856c6184005830deda4310d3ca580", "title": "A deep pyramid Deformable Part Model for face detection", "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": "2015", "pdf": ["https://arxiv.org/pdf/1508.04389.pdf"], "doi": []}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"name": "University of Cape Town", "source_name": "University of Cape Town", "street_adddress": "University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu", "country": "South Africa"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755922"]}, {"id": "32fbd7e8e9fa2387cbd6d23b9925fe7c2072cb92", "title": "A New Robust Color Descriptor for Face Detection", "addresses": [{"name": "Technion - Israel Institute of Technology", "source_name": "Technion - Israel Institute of Technology", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["http://www.scitepress.org/papers/2015/51774/51774.pdf"], "doi": ["https://doi.org/10.5220/0005177400130021"]}, {"id": "ce6a6d35f65e584214aaf24378ab85038decddbb", "title": "High dimensional local binary patterns for facial expression recognition in the wild", "addresses": [{"name": "Silesian University of Technology", "source_name": "Institute of Informatics, Silesian University of Technology, Gliwice, Poland", "street_adddress": "Akademicka 2A, 44-100 Gliwice, Poland", "lat": "50.29165100", "lng": "18.67453100", "type": "edu", "country": "Poland"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495381"]}, {"id": "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "title": "Improved Strategies for HPE Employing Learning-by-Synthesis Approaches", "addresses": [{"name": "Public University of Navarra", "source_name": "Public University of Navarra, Pamplona, Spain", "street_adddress": "Campus de Arrosadia, s/n, 31006 Pamplona, Navarra, Spain", "lat": "42.79726300", "lng": "-1.63215180", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Larumbe_Improved_Strategies_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.182", "http://doi.org/10.1109/ICCVW.2017.182"]}, {"id": "405ff96909968c6de716c9a650c8f27aa5b336b0", "title": "An Unconstrained Face Detection Algorithm Based on Visual Saliency", "addresses": [{"name": "Nanjing Institute of Technology", "source_name": "Nanjing Institute of Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Jiangning, \u4e3d\u6cfd\u8def", "lat": "31.91605100", "lng": "118.88531400", "type": "edu", "country": "China"}, {"name": "Jiangsu Province Traditional Chinese Medicine Hospital, Nanjing, China", "source_name": "Jiangsu Province Traditional Chinese Medicine Hospital, Nanjing, China", "street_adddress": "155 Hanzhong Rd, Bai Xia Qu, Nanjing Shi, Jiangsu Sheng, China, 210004", "lat": "32.04184200", "lng": "118.77490200", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-59463-7_46"]}, {"id": "14effecdf4e99a6ef3bb590582ca07e642d49632", "title": "Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes Observed in Monocular Video", "addresses": [{"name": "University of Arizona", "source_name": "University of Arizona", "street_adddress": "University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA", "lat": "32.23517260", "lng": "-110.95095832", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3290/55356252ec95df17699487632b7607572ad6.pdf"], "doi": []}, {"id": "171d8a39b9e3d21231004f7008397d5056ff23af", "title": "Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}, {"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": ["https://arxiv.org/pdf/1709.08130.pdf"], "doi": []}, {"id": "3ea0555aeef50012c87289dc1b18241ec1a858f1", "title": "A Novel Facial Action Intensity Detection System", "addresses": [{"name": "University of the Witwatersrand", "source_name": "University of the Witwatersrand", "street_adddress": "University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa", "lat": "-26.18888130", "lng": "28.02479073", "type": "edu", "country": "South Africa"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3ea0/555aeef50012c87289dc1b18241ec1a858f1.pdf"], "doi": []}, {"id": "0a6a818b634cca4eb75a37bfd23b5c5c21331b12", "title": "Face Alignment Refinement", "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": "2015", "pdf": ["http://hal.cse.msu.edu/pdfs/papers/wacv-2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045883", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.29", "http://doi.org/10.1109/WACV.2015.29"]}, {"id": "3a54b23cdbd159bb32c39c3adcba8229e3237e56", "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"], "doi": []}, {"id": "293d69d042fe9bc4fea256c61915978ddaf7cc92", "title": "Face Recognition by Coarse-to-Fine Landmark Regression with Application to ATM Surveillance", "addresses": [{"name": "Guangzhou University", "source_name": "Guangzhou University", "street_adddress": "\u5e7f\u5dde\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u897f\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u5357\u6751\u9547, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04436505", "lng": "113.36668458", "type": "edu", "country": "China"}, {"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": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-981-10-7302-1_6"]}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "607aebe7568407421e8ffc7b23a5fda52650ad93", "title": "Face alignment via an ensemble of random ferns", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477237", "http://doi.org/10.1109/ISBA.2016.7477237"]}, {"id": "690f5d35489c63ec7309b9e4d77c929815065257", "title": "Complementary effects of gaze direction and early saliency in guiding fixations during free viewing.", "addresses": [{"name": "University of Wisconsin", "source_name": "University of Wisconsin, Madison, USA", "street_adddress": "Madison, WI 53706, USA", "lat": "43.07659200", "lng": "-89.41248750", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/690f/5d35489c63ec7309b9e4d77c929815065257.pdf"], "doi": []}, {"id": "9ab126760f68071a78cabe006cf92995d6427025", "title": "An efficient multi-threshold AdaBoost approach to detecting faces in images", "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": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-013-1703-6"]}, {"id": "43776d1bfa531e66d5e9826ff5529345b792def7", "title": "Automatic Critical Event Extraction and Semantic Interpretation by Looking-Inside", "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": "2015", "pdf": ["http://cvrr.ucsd.edu/publications/2015/MartinOhnbarTrivedi_ITSC2015.pdf", "http://cvrr.ucsd.edu/scmartin/presentation/DriveAnalysisByLookingIn-ITSC2015-NDS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313459", "http://doi.org/10.1109/ITSC.2015.367"]}, {"id": "c46a4db7247d26aceafed3e4f38ce52d54361817", "title": "A CNN Cascade for Landmark Guided Semantic Part Segmentation", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09642.pdf"], "doi": []}, {"id": "6afccf6c6cebfaa0579a23e7cc7737837b090f0f", "title": "A facial expression recognition method based on ensemble of 3D convolutional neural networks", "addresses": [{"name": "East China University of Science and Technology", "source_name": "East China University of Science and Technology, Shanghai, People\u2019s Republic of China", "street_adddress": "130 Meilong Rd, Xuhui Qu, Shanghai Shi, China, 200237", "lat": "31.14089700", "lng": "121.42524800", "type": "edu", "country": "China"}, {"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": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-017-3230-2"]}, {"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"}, {"name": "Chongqing Medical University", "source_name": "College of Medical Informatics, Chongqing Medical University, Chongqing, China", "street_adddress": "China, Chongqing, Yuzhong, \u6e1d\u5dde\u8def", "lat": "29.53547500", "lng": "106.50451100", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8489507", "http://doi.org/10.1109/IJCNN.2018.8489507"]}, {"id": "1b0a071450c419138432c033f722027ec88846ea", "title": "Looking at faces in a vehicle: A deep CNN based approach and evaluation", "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": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediITSC2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795622", "http://doi.org/10.1109/ITSC.2016.7795622"]}, {"id": "be57d2aaab615ec8bc1dd2dba8bee41a4d038b85", "title": "Automatic Analysis of Naturalistic Hand-Over-Face Gestures", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2946796"]}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "addresses": [{"name": "Sorbonne Universit\u00e9s, Paris, France", "source_name": "Sorbonne Universit\u00e9s, Paris, France", "street_adddress": "15-21 Rue de l'\u00c9cole de M\u00e9decine, 75006 Paris, France", "lat": "48.85076030", "lng": "2.34127570", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"], "doi": []}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": []}, {"id": "4a1d640f5e25bb60bb2347d36009718249ce9230", "title": "Towards Multi-view and Partially-Occluded Face Alignment", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/4555/1/CVPR14FaceAlignmentCameraReady.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Xing_Towards_Multi-view_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909632", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.236", "http://doi.org/10.1109/CVPR.2014.236"]}, {"id": "9103148dd87e6ff9fba28509f3b265e1873166c9", "title": "Face Analysis using 3 D Morphable Models", "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"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9103/148dd87e6ff9fba28509f3b265e1873166c9.pdf"], "doi": []}, {"id": "26949c1ba7f55f0c389000aa234238bf01a32d3b", "title": "Coupled cascade regression for simultaneous facial landmark detection and head pose estimation", "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": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296814", "http://doi.org/10.1109/ICIP.2017.8296814"]}, {"id": "66330846a03dcc10f36b6db9adf3b4d32e7a3127", "title": "Polylingual Multimodal Learning", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6633/0846a03dcc10f36b6db9adf3b4d32e7a3127.pdf"], "doi": []}, {"id": "ea0785c2d4ac8f8d6415cffdb83547bfc4e7adba", "title": "Spontaneous Facial Expression Recognition using Sparse Representation", "addresses": [{"name": "GIPSA-lab", "source_name": "GIPSA-lab, BP 46 - 38402 St Martin d'Heres - France", "street_adddress": "11 Rue des Math\u00e9matiques, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19344150", "lng": "5.76631150", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1810.00362.pdf"], "doi": []}, {"id": "02820c1491b10a1ff486fed32c269e4077c36551", "title": "Active user authentication for smartphones: A challenge data set and benchmark results", "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"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.07930.pdf"], "doi": []}, {"id": "8bc190e3782a20f49b7346ecc80099edd89bc257", "title": "Brief review of facial expression recognition techniques", "addresses": [{"name": "Shaheed Zulfikar Ali Bhutto Institute of Science and Technology", "source_name": "Shaheed Zulfikar Ali Bhutto Institute of", "street_adddress": "Shaheed Zulfikar Ali Bhutto Institute of Science and Technology - Karachi Campus, Block 5, Clifton Block 5, CBC, \u06aa\u0631\u0627\u0686\u064a Karachi, Kar\u0101chi District, \u0633\u0646\u068c, 75600, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "24.81865870", "lng": "67.03165850", "type": "edu", "country": "Pakistan"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8bc1/90e3782a20f49b7346ecc80099edd89bc257.pdf"], "doi": []}, {"id": "0209389b8369aaa2a08830ac3b2036d4901ba1f1", "title": "DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01202.pdf"], "doi": []}, {"id": "fc0f5859a111fb17e6dcf6ba63dd7b751721ca61", "title": "Design of an Automatic Facial Expression Detector", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fc0f/5859a111fb17e6dcf6ba63dd7b751721ca61.pdf"], "doi": []}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6919301", "http://doi.org/10.1109/TPAMI.2014.2362142", "https://www.ncbi.nlm.nih.gov/pubmed/26357352", "https://www.wikidata.org/entity/Q50856272"]}, {"id": "4786638ffb3b2fb385cec80720cc6e7c3588b773", "title": "Effective semantic features for facial expressions recognition using SVM", "addresses": [{"name": "Tatung University", "source_name": "Tatung University, Taipei City, Taiwan Roc", "street_adddress": "No. 40\u865f, Section 3, Zhongshan N Rd, Zhongshan District, Taipei City, Taiwan 10452", "lat": "25.06693330", "lng": "121.52216100", "type": "edu", "country": "Taiwan"}, {"name": "Tamkang University", "source_name": "Tamkang University", "street_adddress": "\u6de1\u6c5f\u5927\u5b78, 151, \u82f1\u5c08\u8def, \u4e2d\u8208\u91cc, \u9b3c\u4ed4\u5751, \u6de1\u6c34\u5340, \u65b0\u5317\u5e02, 25137, \u81fa\u7063", "lat": "25.17500615", "lng": "121.45076751", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2598-1"]}, {"id": "b6d0e461535116a675a0354e7da65b2c1d2958d4", "title": "Deep Directional Statistics: Pose Estimation with Uncertainty Quantification", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.03430.pdf"], "doi": []}, {"id": "47fdbd64edd7d348713253cf362a9c21f98e4296", "title": "Facial point detection based on a convolutional neural network with optimal mini-batch procedure", "addresses": [{"name": "Chubu University", "source_name": "Chubu University", "street_adddress": "\u4e2d\u90e8\u5927\u5b66, \u56fd\u905319\u53f7, \u6625\u65e5\u4e95\u5e02, \u611b\u77e5\u770c, \u4e2d\u90e8\u5730\u65b9, 487-8501, \u65e5\u672c", "lat": "35.27426550", "lng": "137.01327841", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.vision.cs.chubu.ac.jp/MPRG/C_group/C071_yamashita2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351325", "http://doi.org/10.1109/ICIP.2015.7351325"]}, {"id": "c23153aade9be0c941390909c5d1aad8924821db", "title": "Efficient and Accurate Tracking for Face Diarization via Periodical Detection", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/c231/53aade9be0c941390909c5d1aad8924821db.pdf"], "doi": []}, {"id": "31dd6bafd6e7c6095eb8d0591abac3b0106a75e3", "title": "Face Recognition In Unconstrained Environment", "addresses": [{"name": "Khon Kaen University", "source_name": "Khon Kaen University", "street_adddress": "\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e02\u0e2d\u0e19\u0e41\u0e01\u0e48\u0e19, 4, \u0e1a\u0e49\u0e32\u0e19\u0e2b\u0e19\u0e2d\u0e07\u0e2b\u0e31\u0e27\u0e0a\u0e49\u0e32\u0e07, \u0e02\u0e2d\u0e19\u0e41\u0e01\u0e48\u0e19, \u0e08\u0e31\u0e07\u0e2b\u0e27\u0e31\u0e14\u0e02\u0e2d\u0e19\u0e41\u0e01\u0e48\u0e19, 40002, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "lat": "16.46007565", "lng": "102.81211798", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8457336"]}, {"id": "60106015783983454bf5925af9d9c1a5f4b701f0", "title": "Generalized Bilinear Deep Convolutional Neural Networks for Multimodal Biometric Identification", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451532"]}, {"id": "d4c2d26523f577e2d72fc80109e2540c887255c8", "title": "Face-space Action Recognition by Face-Object Interactions", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.04293.pdf"], "doi": []}, {"id": "c30982d6d9bbe470a760c168002ed9d66e1718a2", "title": "Multi-camera head pose estimation using an ensemble of exemplars", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2789123"]}, {"id": "13b1b18b9cfa6c8c44addb9a81fe10b0e89db32a", "title": "A Hierarchical Deep Temporal Model for Group Activity Recognition", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06040.pdf"], "doi": []}, {"id": "5778d49c8d8d127351eee35047b8d0dc90defe85", "title": "Probabilistic Subpixel Temporal Registration for Facial Expression Analysis", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ec31/6c1c182de9d7fe73c7fbbc1a121a7e43c100.pdf"], "doi": []}, {"id": "2969f822b118637af29d8a3a0811ede2751897b5", "title": "Cascaded Shape Space Pruning for Robust Facial Landmark 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"}], "year": "2013", "pdf": ["http://iip.ict.ac.cn/sites/default/files/publication/2013_ICCV_xwzhao_Cascaded%20Shape%20Space%20Pruning%20for%20Robust%20Facial%20Landmark%20Detection.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhao_Cascaded_Shape_Space_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751238", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.132", "http://doi.org/10.1109/ICCV.2013.132"]}, {"id": "06c2dfe1568266ad99368fc75edf79585e29095f", "title": "Bayesian Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/joan_cvpr2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909835", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.439", "http://doi.org/10.1109/CVPR.2014.439"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "4068574b8678a117d9a434360e9c12fe6232dae0", "title": "Automatic Construction of Deformable Models In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Antonakos_Automatic_Construction_of_2014_CVPR_paper.pdf", "http://www.visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2031.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909630", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.234", "http://doi.org/10.1109/CVPR.2014.234"]}, {"id": "7d2dd37e443794f96c4c7b48322503bb4e702984", "title": "Beyond Context: Exploring Semantic Similarity for Tiny Face Detection", "addresses": [{"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": "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": "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451426"]}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00529", "http://doi.org/10.1109/CVPR.2018.00529"]}, {"id": "d673d571f467ba23730833befce027b661b62cac", "title": "Multi-View Face Detection and Landmark Localization Based on MTCNN", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623535"]}, {"id": "193debca0be1c38dabc42dc772513e6653fd91d8", "title": "Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/trigeorgis2016mnemonic.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf", "http://research.gold.ac.uk/18543/1/trigeorgis2016mnemonic%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780822", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.453", "http://doi.org/10.1109/CVPR.2016.453"]}, {"id": "d22b378fb4ef241d8d210202893518d08e0bb213", "title": "Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition", "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": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhang_Random_Faces_Guided_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751411", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.300", "http://doi.org/10.1109/ICCV.2013.300"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "addresses": [{"name": "University of Louisville", "source_name": "University of Louisville", "street_adddress": "University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA", "lat": "38.21675650", "lng": "-85.75725023", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "32dfd4545c87d9820cc92ca912c7d490794a81d6", "title": "Computer Vision for Driver Assistance", "addresses": [{"name": "Qazvin Islamic Azad University", "source_name": "IT & Computer Sciences, Qazvin Islamic Azad University, Qazvin, Iran", "street_adddress": "Barajin, Qazvin, Qazvin Province, Iran", "lat": "36.32149080", "lng": "50.03791810", "type": "edu", "country": "Iran"}, {"name": "Auckland University of Technology", "source_name": "Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand", "street_adddress": "31 Symonds St, Auckland, 1010, New Zealand", "lat": "-36.85444260", "lng": "174.76761040", "type": "edu", "country": "New Zealand"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-50551-0"]}, {"id": "45f5ebf76cb908e805662d2d3be7a57d4324a391", "title": "Adaptive cascade threshold learning from negative samples for deformable part models", "addresses": [{"name": "University of Science, Vietnam", "source_name": "University of Science, Vietnam", "street_adddress": "227 \u0110\u01b0\u1eddng Nguy\u1ec5n V\u0103n C\u1eeb, Ph\u01b0\u1eddng 4, Qu\u1eadn 5, H\u1ed3 Ch\u00ed Minh, Vietnam", "lat": "10.76291300", "lng": "106.68217170", "type": "edu", "country": "Vietnam"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296541", "http://doi.org/10.1109/ICIP.2017.8296541"]}, {"id": "2e5091b5a73325ca52cfd56a6e277a1ddc27d147", "title": "Low-Complexity Approximate Convolutional Neural Networks", "addresses": [{"name": "Universidade Federal de Pernambuco, Recife, Brazil", "source_name": "Departamento de Estat\u00edstica, Signal Processing Group, Universidade Federal de Pernambuco, Recife, Brazil", "street_adddress": "Av. Prof. Moraes Rego, 1235 - Cidade Universit\u00e1ria, Recife - PE, 50670-901, Brazil", "lat": "-8.05244780", "lng": "-34.94972860", "type": "edu", "country": "Brazil"}, {"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8334697"]}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "3ed2ebfd783298a9a2e412529ffabdeb98bd552d", "title": "Modelling of Orthogonal Craniofacial Profiles", "addresses": [{"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c37d/3c53687b2b1654e20a5f67dce6585afc109a.pdf"], "doi": []}, {"id": "bbc8ccd3f62615e3c0ce2c3aee5e4a223d215bbd", "title": "Towards robust automatic affective classification of images using facial expressions for practical applications", "addresses": [{"name": "Xi\u2019an University of Technology", "source_name": "Faculty of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an, China", "street_adddress": "China, Shaanxi, Xi'an, Beilin, Jinhua S Rd, \u91d1\u82b1\u5357\u8def5\u53f7 \u90ae\u7f16 710048", "lat": "34.25183600", "lng": "108.99321800", "type": "edu", "country": "China"}, {"name": "Research & Development, British Broadcasting Corporation (BBC), London, UK", "source_name": "Research & Development, British Broadcasting Corporation (BBC), London, UK", "street_adddress": "56 Wood Ln, White City, London W12 7SB, UK", "lat": "51.51225890", "lng": "-0.22359560", "type": "edu", "country": "United Kingdom"}, {"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-2497-5"]}, {"id": "256b46b12ab47283e6ada05fad6a2b501de35323", "title": "Pose estimation using Spectral and Singular Value recomposition", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900275", "http://doi.org/10.1109/ICPR.2016.7900275"]}, {"id": "653878a26cb31bb444539e3d4db11ec7e59dd00e", "title": "Clustering by Pairwise Similarity by QILIN LI", "addresses": [{"name": "Curtin University", "source_name": "Curtin University", "street_adddress": "Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6538/78a26cb31bb444539e3d4db11ec7e59dd00e.pdf"], "doi": []}, {"id": "a1f1120653bb1bd8bd4bc9616f85fdc97f8ce892", "title": "Latent Embeddings for Zero-Shot Classification", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}, {"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08895.pdf"], "doi": []}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "addresses": [{"name": "Megvii Inc. (Face++), China", "source_name": "Megvii Inc. (Face++), China", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755923"]}, {"id": "3377d56732c432bf42d6627b0fa25ff91286548c", "title": "Robust Facial Pose Estimation Using Landmark Selection Method for Binocular Stereo Vision", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451443"]}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"name": "Warsaw University of Technology", "source_name": "Warsaw University of Technology", "street_adddress": "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "lat": "52.22165395", "lng": "21.00735776", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"], "doi": []}, {"id": "891b10c4b3b92ca30c9b93170ec9abd71f6099c4", "title": "2 New Statement for Structured Output Regression Problems", "addresses": [{"name": "INSA Rouen, France", "source_name": "Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France", "street_adddress": "685 Avenue de l'Universit\u00e9, 76800 Saint-\u00c9tienne-du-Rouvray, France", "lat": "49.38497570", "lng": "1.06832570", "type": "edu", "country": "France"}, {"name": "Rouen University", "source_name": "LITIS Laboratory, Rouen University, Rouen, France", "street_adddress": "1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France", "lat": "49.45830470", "lng": "1.06888920", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/891b/10c4b3b92ca30c9b93170ec9abd71f6099c4.pdf"], "doi": []}, {"id": "762311d26be8c774f2ad0ae74e3f12458662dd91", "title": "Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures", "addresses": [{"name": "Institute of Industrial Science", "source_name": "Institute of Industrial Science", "street_adddress": "\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\uff1b\u897f\u4e8b\u696d\u6240, \u5b66\u5712\u897f\u5927\u901a\u308a, Onogawa housing complex, \u3064\u304f\u3070\u5e02, \u8328\u57ce\u770c, \u95a2\u6771\u5730\u65b9, 305-0051, \u65e5\u672c", "lat": "36.05238585", "lng": "140.11852361", "type": "edu", "country": "Japan"}, {"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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103030"]}, {"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"], "doi": []}, {"id": "b730908bc1f80b711c031f3ea459e4de09a3d324", "title": "Active Orientation Models for Face Alignment In-the-Wild", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tifs_aoms.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914605", "http://doi.org/10.1109/TIFS.2014.2361018"]}, {"id": "19c0069f075b5b2d8ac48ad28a7409179bd08b86", "title": "Modifying the Memorability of Face Photographs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://cvcl.mit.edu/Papers/Khosla-ModifyingMemorability-ICCV2013.pdf", "http://cvcl.mit.edu/papers/Khosla-ModifyingMemorability-ICCV2013.pdf", "http://people.csail.mit.edu/torralba/publications/iccv2013_khosla.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Khosla_Modifying_the_Memorability_2013_ICCV_paper.pdf", "http://www.wilmabainbridge.com/papers/iccv-2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751509", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.397", "http://doi.org/10.1109/ICCV.2013.397", "http://dspace.mit.edu/openaccess-disseminate/1721.1/90986"]}, {"id": "ea78ab987af09a65b9bb30b3afdd82bb2468f101", "title": "MSFD:Multi-Scale Receptive Field Face Detector", "addresses": [{"name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "source_name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545707"]}, {"id": "08cb294a08365e36dd7ed4167b1fd04f847651a9", "title": "Examining visible articulatory features in clear and conversational speech", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "University of Kansas", "source_name": "University of Kansas, Lawrence, KS", "street_adddress": "1450 Jayhawk Blvd, Lawrence, KS 66045, USA", "lat": "38.95434390", "lng": "-95.25579610", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f75f/56bb1dcf721449f2fcc3634265f1e08e012c.pdf"], "doi": []}, {"id": "046770df59c49c7ca9a1a4c268176ede2aa89e37", "title": "Multi-feature deep learning for face gender recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7065102", "http://doi.org/10.1109/ITAIC.2014.7065102"]}, {"id": "837e99301e00c2244023a8a48ff98d7b521c93ac", "title": "Local Feature Evaluation for a Constrained Local Model Framework", "addresses": [{"name": "Tottori University", "source_name": "Tottori University", "street_adddress": "4\u4e01\u76ee-101 \u5357 \u6e56\u5c71\u753a Tottori, Tottori Prefecture 680-8550, Japan", "lat": "35.51520720", "lng": "134.17335530", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b7b7/4e0ec15c22e1c94406c592bbb83c8e865f52.pdf"], "doi": []}, {"id": "6f81178c6f042f5e0b7dc226c1509596dbff63f0", "title": "Subjective rate-distortion optimization in HEVC with perceptual model of multiple faces", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7457929", "http://doi.org/10.1109/VCIP.2015.7457929"]}, {"id": "5cbe1445d683d605b31377881ac8540e1d17adf0", "title": "On 3D face reconstruction via cascaded regression in shape space", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.06161.pdf"], "doi": []}, {"id": "73f341ff68caa9f8802e9e81bfa90d88bbdbd9d2", "title": "Report on the BTAS 2016 Video Person Recognition Evaluation", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"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": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://www.wjscheirer.com/papers/wjs_btas2016_video_challenge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791198", "http://doi.org/10.1109/BTAS.2016.7791198", "https://doi.org/10.1109/BTAS.2016.7791198"]}, {"id": "0b9db62b26b811e8c24eb9edc37901a4b79a897f", "title": "Structured Face Hallucination", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr13_hallucination.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cvpr13_hallucination_sup.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b099.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yang_Structured_Face_Hallucination_2013_CVPR_paper.pdf", "https://eng.ucmerced.edu/people/cyang35/CVPR13/cvpr13_hallucination.pdf", "https://eng.ucmerced.edu/people/cyang35/CVPR13/cvpr13_poster_v10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618990", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.146", "http://doi.org/10.1109/CVPR.2013.146"]}, {"id": "3b8c830b200f1df8ef705de37cbfe83945a3d307", "title": "Annotated face model-based alignment: a robust landmark-free pose estimation approach for 3D model registration", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-017-0887-6"]}, {"id": "d40c16285d762f7a1c862b8ac05a0fdb24af1202", "title": "Coarse-to-fine facial landmarks localization based on convolutional feature", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8256378", "http://doi.org/10.1109/BESC.2017.8256378"]}, {"id": "bfab7043e206f428f98be47ecc02d506be1148d7", "title": "FaceCAPTCHA: a CAPTCHA that identifies the gender of face images unrecognized by existing gender classifiers", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Olaworks, Inc., Seoul, Republic of Korea", "source_name": "Olaworks, Inc., Seoul, Republic of Korea", "street_adddress": "Seoul, South Korea", "lat": "37.56653500", "lng": "126.97796920", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-013-1422-z"]}, {"id": "32c20afb5c91ed7cdbafb76408c3a62b38dd9160", "title": "Viewing Real-World Faces in 3D", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Hassner_Viewing_Real-World_Faces_2013_ICCV_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/ViewFaces3D/HassnerICCV2013preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751560", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.448", "http://doi.org/10.1109/ICCV.2013.448"]}, {"id": "ed273b5434013dcdb9029c1a9f1718da494a23a2", "title": "Off-Feature Information Incorporated Metric Learning for Face Recognition", "addresses": [{"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8303207", "http://doi.org/10.1109/LSP.2018.2810106"]}, {"id": "7d7be6172fc2884e1da22d1e96d5899a29831ad2", "title": "L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction", "addresses": [{"name": "South China University of China", "source_name": "South China University of China", "street_adddress": "\u534e\u5de5\u7ad9, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.04900470", "lng": "113.39715710", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01605.pdf"], "doi": []}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2016.01.002"]}, {"id": "0a6d344112b5af7d1abbd712f83c0d70105211d0", "title": "Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild", "addresses": [{"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ict.usc.edu/pubs/Constrained%20local%20neural%20fields%20for%20robust%20facial%20landmark%20detection%20in%20the%20wild.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/ccnf/files/iccv2014.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Baltrusaitis_Constrained_Local_Neural_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755919"]}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "559645d2447004355c83737a19c9a811b45780f1", "title": "Combining view-based pose normalization and feature transform for cross-pose face recognition", "addresses": [{"name": "Istanbul Technical University", "source_name": "Istanbul Technical University", "street_adddress": "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "lat": "41.10427915", "lng": "29.02231159", "type": "edu", "country": "Turkey"}, {"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139114", "http://doi.org/10.1109/ICB.2015.7139114"]}, {"id": "27812db1d2f68611cc284d65d11818082e572008", "title": "Computer vision for the blind: A dataset for experiments on face detection and recognition", "addresses": [{"name": "University of Trieste", "source_name": "DIA, University of Trieste, Italy", "street_adddress": "Via Alfonso Valerio, 6/1, Edificio C8, 34127 Trieste TS, Italy", "lat": "45.66025100", "lng": "13.79458400", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7522323", "http://doi.org/10.1109/MIPRO.2016.7522323"]}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "c3ae4a4c9a9528791e36b64fea8d02b2fced7955", "title": "Automatic multiviewface detection and pose estimationfrom videos based on mixture-of-trees model and optical flow", "addresses": [{"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Education University of Hong Kong", "source_name": "The Education University of Hong Kong", "street_adddress": "\u9999\u6e2f\u6559\u80b2\u5927\u5b78 The Education University of Hong Kong, \u9732\u5c4f\u8def Lo Ping Road, \u9cf3\u5712 Fung Yuen, \u4e0b\u5751 Ha Hang, \u65b0\u754c New Territories, HK, DD5 1119, \u4e2d\u56fd", "lat": "22.46935655", "lng": "114.19474194", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888268"]}, {"id": "e287ff7997297ce1197359ed0fb2a0bd381638c9", "title": "Joint-Feature Guided Depth Map Super-Resolution With Face Priors", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.icst.pku.edu.cn/F/course/icb/Pub%20Files/2018/ys_tcyb18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795253", "http://doi.org/10.1109/TCYB.2016.2638856", "https://doi.org/10.1109/TCYB.2016.2638856", "https://www.ncbi.nlm.nih.gov/pubmed/28026798"]}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296314", "http://doi.org/10.1109/ICIP.2017.8296314"]}, {"id": "66425ac80e8c5995f9a680ae8b0f077893d6713b", "title": "An Across-Target Study on Visual Attentions in Facial Expression Recognition", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}, {"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": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s12539-018-0281-8", "https://www.ncbi.nlm.nih.gov/pubmed/29383565"]}, {"id": "a7a3ec1128f920066c25cb86fbc33445ce613919", "title": "Joint facial landmark detection and action estimation based on deep probabilistic random forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305115", "http://doi.org/10.1109/VCIP.2017.8305115"]}, {"id": "6da711d07b63c9f24d143ca3991070736baeb412", "title": "Spatio-temporal constraint for fast face tracking in movies", "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"}, {"name": "Orange Labs International Center, Beijing, China", "source_name": "Orange Labs International Center Beijing, Beijing, 100876, China", "street_adddress": "Beitaipingzhuang, Haidian, Beijing, China, 100876", "lat": "39.96416860", "lng": "116.35725230", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://wuyuebupt.github.io/files/nidc2014.pdf", "http://www1.ece.neu.edu/~yuewu/files/2015/07000295.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7000295"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "64ec02e1056de4b400f9547ce56e69ba8393e2ca", "title": "Multi-RPN Fusion-based Sparse PCA-CNN Approach to Object Detection and Recognition for Robot-aided Visual System", "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8446491"]}, {"id": "2f04ba0f74df046b0080ca78e56898bd4847898b", "title": "Aggregate channel features for multi-view 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"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4023.pdf"], "doi": []}, {"id": "214072c84378802a0a0fde0b93ffb17bc04f3759", "title": "Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos", "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": "2015", "pdf": ["http://www.andrew.cmu.edu/user/kseshadr/CVVT_CVPR_2015_PPT.pdf", "http://www.andrew.cmu.edu/user/kseshadr/CVVT_CVPR_2015_Paper_Camera_Ready.pdf", "http://www.andrew.cmu.edu/user/kseshadr/CVVT_CVPR_2015_Paper_IEEE.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W11/papers/Seshadri_Driver_Cell_Phone_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301397", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301397", "http://doi.org/10.1109/CVPRW.2015.7301397"]}, {"id": "92115b620c7f653c847f43b6c4ff0470c8e55dab", "title": "Training Deformable Object Models for Human Detection Based on Alignment and Clustering", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a77c/798d06060ece81c620458e4586819e75ae15.pdf"], "doi": []}, {"id": "14ce7635ff18318e7094417d0f92acbec6669f1c", "title": "DeepFace: Closing the Gap to Human-Level Performance in Face Verification", "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": "2014", "pdf": ["http://data.over-blog-kiwi.com/0/90/51/05/20140323/ob_600872_deepface.pdf", "http://static1.trouw.nl/static/asset/2014/deepface_4361.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface_11_01_2013.pdf", "http://www.cs.tau.ac.il/~wolf/papers/deepface_prev.pdf", "http://www.cs.tau.ac.il/~wolf/papers/paper_1819_supplementary_deepface.pdf", "http://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf", "http://www.cs.toronto.edu/~ranzato/publications/taigman_supp_material_cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Taigman_DeepFace_Closing_the_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909616", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.220", "http://doi.org/10.1109/CVPR.2014.220"]}, {"id": "5c124b57699be19cd4eb4e1da285b4a8c84fc80d", "title": "Unified Face Analysis by Iterative Multi-output Random Forests", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhao_Unified_Face_Analysis_2014_CVPR_paper.pdf", "http://www.iis.ee.ic.ac.uk/icvl/doc/cvpr14_xiaowei.pdf", "https://labicvl.github.io/docs/pubs/Xiaowei_CVPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909624", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.228", "http://doi.org/10.1109/CVPR.2014.228"]}, {"id": "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "title": "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03887.pdf"], "doi": []}, {"id": "4cdae53cebaeeebc3d07cf6cd36fecb2946f3e56", "title": "Photorealistic Facial Texture Inference Using Deep Neural Networks", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00523.pdf"], "doi": []}, {"id": "dcdece0d0ee382e2f388dcd7f5bd9721bb7354d6", "title": "Facial Skin Beautification Using Adaptive Region-Aware Masks", "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": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6781552", "http://doi.org/10.1109/TCYB.2014.2311033", "https://www.ncbi.nlm.nih.gov/pubmed/24710839"]}, {"id": "89002a64e96a82486220b1d5c3f060654b24ef2a", "title": "PIEFA: Personalized Incremental and Ensemble Face Alignment", "addresses": [{"name": "University of North Carolina at Charlotte", "source_name": "University of North Carolina at Charlotte", "street_adddress": "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "lat": "35.31034410", "lng": "-80.73261617", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://research.rutgers.edu/~shaoting/paper/ICCV15_face.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Peng_PIEFA_Personalized_Incremental_ICCV_2015_paper.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV15_face.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410799", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.442", "http://doi.org/10.1109/ICCV.2015.442"]}, {"id": "33c3702b0eee6fc26fc49f79f9133f3dd7fa3f13", "title": "Machine learning techniques for automated analysis of facial expressions", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/33c3/702b0eee6fc26fc49f79f9133f3dd7fa3f13.pdf"], "doi": []}, {"id": "b7752ffc2273b11b0afd9a360fb83a80a14d6b7e", "title": "Automatic Detection and Recognition of Individuals in Patterned Species", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["http://ecmlpkdd2017.ijs.si/papers/paperID663.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-71273-4_3"]}, {"id": "1606b1475e125bba1b2d87bcf1e33b06f42c5f0d", "title": "A convolutional neural network cascade for face detection", "addresses": [{"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}, {"name": "Stevens Institute of Technology", "source_name": "Stevens Institute of Technology", "street_adddress": "Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://personal.stevens.edu/~hli18/papers/CVPR2015_CasCNN.pdf", "http://soc.fudan.edu.cn/vip/attachments/download/3893/CVPR2015-A-Convolutional-Neural-Network-Cascade-for-Face-Detection.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2015_cascnn.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_096.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_096_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_096_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Li_A_Convolutional_Neural_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299170", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299170", "http://doi.org/10.1109/CVPR.2015.7299170"]}, {"id": "27a299b834a18e45d73e0bf784bbb5b304c197b3", "title": "Social Role Discovery in Human Events", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://ai.stanford.edu/~vigneshr/cvpr_13/cvpr13_social_roles.pdf", "http://ai.stanford.edu/~vigneshr/papers/334-sup.pdf", "http://ai.stanford.edu/~vigneshr/papers/334.pdf", "http://cs.stanford.edu/groups/vision/pdf/334.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c475.pdf", "http://vision.stanford.edu/pdf/334.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ramanathan_Social_Role_Discovery_2013_CVPR_paper.pdf", "http://www.dtic.mil/dtic/tr/fulltext/u2/1037390.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619164", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.320", "http://doi.org/10.1109/CVPR.2013.320"]}, {"id": "bcd162862b6d3a56b474039b2588a8f948d59fe0", "title": "Face detection and tracking system with block-matching, meanshift and camshift algorithms and Kalman filter", "addresses": [{"name": "ENET'COM-SFAX, Tunisia", "source_name": "ENET'COM-SFAX, Tunisia", "street_adddress": "Technopole Sfax, Route Tunis km 11, cite Ons\u060c Sfax, Tunisia", "lat": "34.83847790", "lng": "10.75594230", "type": "edu", "country": "Tunisia"}, {"name": "Informatics Laboratory of Paris6 (LIP6)", "source_name": "Informatics Laboratory of Paris6 (LIP6)", "street_adddress": "4 Place Jussieu, 75005 Paris, France", "lat": "48.84695400", "lng": "2.35435720", "type": "edu", "country": "France"}, {"name": "Polytechnic Military Institute, Bp17 Bordje El Bahri Algeria", "source_name": "Polytechnic Military Institute, Bp17 Bordje El Bahri Algeria", "street_adddress": "Bordj El Bahri, Algeria", "lat": "36.79014880", "lng": "3.25645030", "type": "edu", "country": "Algeria"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8314915"]}, {"id": "181708b09bde7f4904f8fd92b3668d76e7aff527", "title": "Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2666275"]}, {"id": "23f18899037c77efea58cbde7b029225af7e0db9", "title": "Face alignment using structured random regressors combined with statistical shape model fitting", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727052", "http://doi.org/10.1109/IVCNZ.2013.6727052"]}, {"id": "632441c9324cd29489cee3da773a9064a46ae26b", "title": "Video-based Cardiac Physiological Measurements Using Joint Blind Source Separation Approaches", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6324/41c9324cd29489cee3da773a9064a46ae26b.pdf"], "doi": []}, {"id": "132f88626f6760d769c95984212ed0915790b625", "title": "Exploring Entity Resolution for Multimedia Person Identification", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/132f/88626f6760d769c95984212ed0915790b625.pdf"], "doi": []}, {"id": "434f1442533754b3098afd4e24abf1e3792b24db", "title": "Over-the-shoulder shot detection in art films", "addresses": [{"name": "University of Brescia", "source_name": "University of Brescia", "street_adddress": "Brescia University, West 7th Street, Owensboro, Daviess County, Kentucky, 42303, USA", "lat": "37.76893740", "lng": "-87.11138590", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153627", "http://doi.org/10.1109/CBMI.2015.7153627"]}, {"id": "65f25a28629ecfe8bae42a33883a8b9ab3c7d047", "title": "Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose", "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"}, {"name": "Information Directorate, Air Force Research Laboratory, Rome, NY, USA", "source_name": "Information Directorate, Air Force Research Laboratory, Rome, NY, USA", "street_adddress": "26 Electronics Parkway, Rome, NY 13441, USA", "lat": "43.22135160", "lng": "-75.40855770", "type": "mil", "country": "United States"}], "year": "2015", "pdf": ["https://abhijithpunnappurath.github.io/FR_TIP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7058443", "http://doi.org/10.1109/TIP.2015.2412379", "https://www.ncbi.nlm.nih.gov/pubmed/25775493"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "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": "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": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780392", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.23", "http://doi.org/10.1109/CVPR.2016.23"]}, {"id": "3ac0aefb379dedae4a6054e649e98698b3e5fb82", "title": "An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "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/1802.02137.pdf"], "doi": []}, {"id": "5990c2e78394388e8a81a4b52baf35c13b22d2c9", "title": "Smartphone posture monitoring system to prevent unhealthy neck postures", "addresses": [{"name": "King Mongkut's University of Technology Thonburi", "source_name": "Data and Knowledge Engineering Laboratory, King Mongkut's University of Technology Thonburi, Bangkok, Thailand", "street_adddress": "126 Pracha Uthit Rd, Khwaeng Bang Mot, Khet Thung Khru, Krung Thep Maha Nakhon 10140, Thailand", "lat": "13.65102480", "lng": "100.49538020", "type": "edu", "country": "Thailand"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7219819"]}, {"id": "ef3f5a972e91d5f2f3097b0dc1fba7f2890980d0", "title": "Anchor Free Network for Multi-Scale Face Detection", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545814"]}, {"id": "54e988bc0764073a5db2955705d4bfa8365b7fa9", "title": "Emotion recognition in the wild challenge (EmotiW) challenge and workshop summary", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531749"]}, {"id": "1ca815327e62c70f4ee619a836e05183ef629567", "title": "Global supervised descent method", "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": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048_ext.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298882", "http://doi.org/10.1109/CVPR.2015.7298882"]}, {"id": "647b2e162e9c476728172f62463a8547d245cde3", "title": "Structure and appearance preserving network flow for multi-object tracking", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899898", "http://doi.org/10.1109/ICPR.2016.7899898"]}, {"id": "b1245ada9360b1b9fe90badea088a8685d1a44da", "title": "Feature Extraction and Fusion Using Deep Convolutional Neural Networks for 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": "2017", "pdf": ["http://downloads.hindawi.com/journals/mpe/2017/1376726.pdf"], "doi": ["https://doi.org/10.1155/2017%2F1376726"]}, {"id": "3c6cac7ecf546556d7c6050f7b693a99cc8a57b3", "title": "Robust facial landmark detection 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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3c6c/ac7ecf546556d7c6050f7b693a99cc8a57b3.pdf"], "doi": []}, {"id": "5b59e6b980d2447b2f3042bd811906694e4b0843", "title": "Two-stage cascade model for unconstrained face detection", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5b59/e6b980d2447b2f3042bd811906694e4b0843.pdf"], "doi": []}, {"id": "aee3e3b9ac91fc90dc6db127f27764d873b29a89", "title": "Face Detection by Aggregating Visible Components", "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"}], "year": "2016", "pdf": ["https://davidsonic.github.io/index/accv/accv2016finalpaper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-54427-4_24"]}, {"id": "a0021e3bbf942a88e13b67d83db7cf52e013abfd", "title": "Human concerned object detecting in video", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a002/1e3bbf942a88e13b67d83db7cf52e013abfd.pdf"], "doi": []}, {"id": "27961bc8173ac84fdbecacd01e5ed6f7ed92d4bd", "title": "Automatic multi-view face recognition via 3D model based pose regularization", "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": "2013", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/NiinumaHanJain_MultiviewFaceRecognition_PoseRegularization_BTAS13.pdf", "http://www.cse.msu.edu/~hhan/paper/NiinumaHanJain_MultiviewFaceRecognition_PoseRegularization_BTAS13.pdf", "http://www.csis.pace.edu/~ctappert/dps/2013BTAS/Papers/Paper%2056/BTAS2013_MultiViewFR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6712735", "http://doi.org/10.1109/BTAS.2013.6712735"]}, {"id": "64ab36d095764c48140ef5aaaf6932cc93bceec9", "title": "Multi-view Facial Expression Recognition Based on Fusing Low-level and Mid-level Features", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8483908"]}, {"id": "d511e903a882658c9f6f930d6dd183007f508eda", "title": "Privileged information-based conditional regression forest for facial feature detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553766.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553766", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553766", "http://doi.org/10.1109/FG.2013.6553766"]}, {"id": "0b835284b8f1f45f87b0ce004a4ad2aca1d9e153", "title": "Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos", "addresses": [{"name": "Indiana University Bloomington", "source_name": "Indiana University Bloomington", "street_adddress": "Indiana University Bloomington, East 17th Street, Bloomington, Monroe County, Indiana, 47408, USA", "lat": "39.17720475", "lng": "-86.51540030", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kapadia_Cartooning_for_Enhanced_CVPR_2017_paper.pdf", "http://vision.soic.indiana.edu/papers/cartooning2017cvcops.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014909", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.175", "http://doi.org/10.1109/CVPRW.2017.175"]}, {"id": "b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4", "title": "Autonomous Learning Framework Based on Online Hybrid Classifier for Multi-view Object Detection in Video", "addresses": [{"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "University of Science and Technology", "source_name": "University of Science and Technology, Tehran, Iran", "street_adddress": "Tehran, Tehran Province, Iran", "lat": "35.74247400", "lng": "51.50231030", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cbb4/4f0a4b5d76152b90a24a1470cb4cc860587d.pdf"], "doi": []}, {"id": "e3b324101157daede3b4d16bdc9c2388e849c7d4", "title": "Robust Real-Time 3 D Face Tracking from RGBD Videos under Extreme Pose , Depth , and Expression Variations", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e3b3/24101157daede3b4d16bdc9c2388e849c7d4.pdf"], "doi": []}, {"id": "4bd3de97b256b96556d19a5db71dda519934fd53", "title": "Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"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"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Wen_Latent_Factor_Guided_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wen_Latent_Factor_Guided_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780898", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.529", "http://doi.org/10.1109/CVPR.2016.529"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "31003ba1cf9f77ec5b7038996d2ce999fa04d0ea", "title": "An intelligent system for online exam monitoring", "addresses": [{"name": "Amrita University", "source_name": "Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, India", "street_adddress": "Amritanagar, Ettimadai, Coimbatore, Tamil Nadu 641112, India", "lat": "10.90267910", "lng": "76.90062790", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7845315"]}, {"id": "8d61ba91ace49a2b2cdd38fcc7e8ef7a99039705", "title": "Simultaneous Facial Landmark and 3D Action Estimation Based on Probabilistic Random Forest", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451200", "http://doi.org/10.1109/ICIP.2018.8451200"]}, {"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"], "doi": []}, {"id": "cc2eaa182f33defbb33d69e9547630aab7ed9c9c", "title": "Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce2e/e807a63bbdffa530c80915b04d11a7f29a21.pdf"], "doi": []}, {"id": "278c9b47199701d75a6eb9f4cff9ea88fc7fe63e", "title": "Automatic Facial Attractiveness Prediction by Deep Multi-Task Learning", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "TuSimple, San Diego, USA", "source_name": "TuSimple, San Diego, USA", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545033", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545033", "http://doi.org/10.1109/ICPR.2018.8545033"]}, {"id": "529b1f33aed49dbe025a99ac1d211c777ad881ec", "title": "Fast and exact bi-directional fitting of active appearance models", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26776/01/Pantic_Fast_and_Exact_Bi-Directional_Fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/kossaifi_bidirectional_icip.pdf", "https://teresaproject.eu/wp-content/uploads/2015/07/kossaifi_bidirectional_icip.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350977", "http://doi.org/10.1109/ICIP.2015.7350977"]}, {"id": "3f12701449a82a5e01845001afab3580b92da858", "title": "Joint Object Class Sequencing and Trajectory Triangulation (JOST)", "addresses": [{"name": "University of North Carolina", "source_name": "University of North Carolina", "street_adddress": "University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA", "lat": "35.90503535", "lng": "-79.04775327", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e4f5/2f5e116f0cc486d033e4b8fc737944343db7.pdf"], "doi": []}, {"id": "4140498e96a5ff3ba816d13daf148fffb9a2be3f", "title": "Constrained Ensemble Initialization for Facial Landmark Tracking in Video", "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": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Li_Constrained.pdf", "https://www.cl.cam.ac.uk/~tb346/pub/papers/fg2017_ensemble.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961809", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.88", "http://doi.org/10.1109/FG.2017.88"]}, {"id": "15252b7af081761bb00535aac6bd1987391f9b79", "title": "Estimation of eye gaze direction angles based on active appearance models", "addresses": [{"name": "National Technical University of Athens", "source_name": "National Technical University of Athens", "street_adddress": "\u0395\u03b8\u03bd\u03b9\u03ba\u03cc \u039c\u03b5\u03c4\u03c3\u03cc\u03b2\u03b9\u03bf \u03a0\u03bf\u03bb\u03c5\u03c4\u03b5\u03c7\u03bd\u03b5\u03af\u03bf, \u03a3\u03c4\u03bf\u03c5\u03c1\u03bd\u03ac\u03c1\u03b7, \u039c\u03bf\u03c5\u03c3\u03b5\u03af\u03bf, \u0391\u03b8\u03ae\u03bd\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u0391\u03b8\u03b7\u03bd\u03b1\u03af\u03c9\u03bd, \u03a0.\u0395. \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03bf\u03cd \u03a4\u03bf\u03bc\u03ad\u03b1 \u0391\u03b8\u03b7\u03bd\u03ce\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0391\u03c4\u03c4\u03b9\u03ba\u03ae\u03c2, \u0391\u03c4\u03c4\u03b9\u03ba\u03ae, 11250, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "37.98782705", "lng": "23.73179733", "type": "edu", "country": "Greece"}], "year": "2015", "pdf": ["http://cvsp.cs.ntua.gr/publications/confr/KoutrasMaragos_EyeGaze_ICIP15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351237", "http://doi.org/10.1109/ICIP.2015.7351237"]}, {"id": "97e569159d5658760eb00ca9cb662e6882d2ab0e", "title": "Correlation Filters for Object Alignment", "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": "2013", "pdf": ["http://consortium.ri.cmu.edu/data/CarAlignment/cvpr_2013.pdf", "http://hal.cse.msu.edu/pdfs/papers/cvpr-2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c291.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Boddeti_Correlation_Filters_for_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619141", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.297", "http://doi.org/10.1109/CVPR.2013.297"]}, {"id": "b1546f723d11f95ee50b1db1bdce8de8de85a54f", "title": "Facial depth map enhancement via neighbor embedding", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"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": "2016", "pdf": ["https://vision.unipv.it/CV/materiale2016-17/4th%20Choice/0104.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899808", "http://doi.org/10.1109/ICPR.2016.7899808"]}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"], "doi": []}, {"id": "7dc498d45f9fcb97acee552c6f587b65d5122c35", "title": "Face detection and landmark localization using Bilayer Tree Structured Model", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351618", "http://doi.org/10.1109/ICIP.2015.7351618"]}, {"id": "27846b464369095f4909f093d11ed481277c8bba", "title": "Real-Time Face Detection and Recognition in Complex Background", "addresses": [{"name": "Illinois Institute of Technology", "source_name": "Illinois Institute of Technology", "street_adddress": "Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA", "lat": "41.83619630", "lng": "-87.62655913", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2784/6b464369095f4909f093d11ed481277c8bba.pdf"], "doi": []}, {"id": "9048732c8591a92a1f4f589b520a733f07578f80", "title": "Improved CNN-based facial landmarks tracking via ridge regression at 150 Fps on mobile devices", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301921", "http://doi.org/10.1109/CISP-BMEI.2017.8301921"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014989", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.255", "http://doi.org/10.1109/CVPRW.2017.255"]}, {"id": "6c58e3a8209fef0e28ca2219726c15ea5f284f4f", "title": "Temporally subsampled detection for accurate and efficient face tracking and diarization", "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": "2016", "pdf": ["http://publications.idiap.ch/downloads/papers/2016/Le_ICPR_2016.pdf", "http://www.idiap.ch/~odobez/publications/LeHeiliWuOdobez-ICPR2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899896", "http://doi.org/10.1109/ICPR.2016.7899896", "https://doi.org/10.1109/ICPR.2016.7899896"]}, {"id": "a2429cc2ccbabda891cc5ae340b24ad06fcdbed5", "title": "Discovering the Signatures of Joint Attention in Child-Caregiver Interaction", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e12a/0f0bca1624965386ac9cf95f711c90441553.pdf"], "doi": []}, {"id": "3726d17fd7e57c75b8b9f7f57bdec9054534be5e", "title": "A two-stage facial landmark localization method", "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": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7498512"]}, {"id": "72e603083c8b1cfa09200eb333927e8ea848fbc8", "title": "Dirichlet-tree cascaded Hough forests for continuous head pose estimation", "addresses": [{"name": "Central China Normal University", "source_name": "National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China", "street_adddress": "Wuhan, Hubei, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu", "country": "China"}, {"name": "Normal University", "source_name": "Normal University", "street_adddress": "\u4e91\u5357\u5e08\u8303\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05805090", "lng": "102.69552410", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7003826"]}, {"id": "06d7ef72fae1be206070b9119fb6b61ce4699587", "title": "On One-Shot Similarity Kernels: Explicit Feature Maps and Properties", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Patras", "source_name": "University of Patras", "street_adddress": "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u03a0\u03b1\u03c4\u03c1\u03ce\u03bd, \u039b\u03b5\u03c9\u03c6. \u0399\u03c0\u03c0\u03bf\u03ba\u03c1\u03ac\u03c4\u03bf\u03c5\u03c2, \u03ba. \u03a1\u03af\u03bf\u03c5 (\u0391\u03b3\u03af\u03bf\u03c5 \u0393\u03b5\u03c9\u03c1\u03b3\u03af\u03bf\u03c5 \u03a1\u03af\u03bf\u03c5), \u03a0\u03ac\u03c4\u03c1\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u03a0\u03b1\u03c4\u03c1\u03ad\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ae \u0395\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u0391\u03c7\u03b1\u0390\u03b1\u03c2, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0394\u03c5\u03c4\u03b9\u03ba\u03ae\u03c2 \u0395\u03bb\u03bb\u03ac\u03b4\u03b1\u03c2, \u03a0\u03b5\u03bb\u03bf\u03c0\u03cc\u03bd\u03bd\u03b7\u03c3\u03bf\u03c2, \u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u0395\u03bb\u03bb\u03ac\u03b4\u03b1 \u03ba\u03b1\u03b9 \u0399\u03cc\u03bd\u03b9\u03bf, 26443, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "lat": "38.28994820", "lng": "21.78864690", "type": "edu", "country": "Greece"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/one_shot_kernel.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zafeiriou_On_One-Shot_Similarity_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751408", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.297", "http://doi.org/10.1109/ICCV.2013.297"]}, {"id": "58d43e32660446669ff54f29658961fe8bb6cc72", "title": "Automatic detection of obstructive sleep apnea using facial images", "addresses": [{"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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7950504", "http://doi.org/10.1109/ISBI.2017.7950504"]}, {"id": "63367972e1ada96dd47211d86ddee83f65ca1880", "title": "Unsupervised face image retrieval using adjacent weighted component-based patches", "addresses": [{"name": "Multimedia University", "source_name": "Multimedia University", "street_adddress": "Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia", "lat": "2.92749755", "lng": "101.64185301", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7824069"]}, {"id": "f4ba07d2ae6c9673502daf50ee751a5e9262848f", "title": "Real-time multi-view facial landmark detector learned by the structured output SVM", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["http://www.dgcv.nii.ac.jp/Publications/Papers/2015/BWILD2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7284810", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7284810", "http://doi.org/10.1109/FG.2015.7284810"]}, {"id": "8fe5feeaa72eddc62e7e65665c98e5cb0acffa87", "title": "Hierarchical committee of deep convolutional neural networks for robust facial expression recognition", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s12193-015-0209-0"]}, {"id": "d8896861126b7fd5d2ceb6fed8505a6dff83414f", "title": "In-plane Rotational Alignment of Faces by Eye and Eye-pair Detection", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d889/6861126b7fd5d2ceb6fed8505a6dff83414f.pdf"], "doi": []}, {"id": "5aad56cfa2bac5d6635df4184047e809f8fecca2", "title": "A visual dictionary attack on Picture Passwords", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Amir/publications/picture_password.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738916", "http://doi.org/10.1109/ICIP.2013.6738916"]}, {"id": "46b7ee97d7dfbd61cc3745e8dfdd81a15ab5c1d4", "title": "3D facial geometric features for constrained local model", "addresses": [{"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://doc.utwente.nl/95232/1/Pantic_3D_facial_geometric_features.pdf", "http://eprints.eemcs.utwente.nl/25826/01/Pantic_3D_facial_geometric_features.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/3d_local_features.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025285", "http://doi.org/10.1109/ICIP.2014.7025285"]}, {"id": "d6e08345ba293565086cb282ba08b225326022fc", "title": "Occlusion-Aware Fragment-Based Tracking With Spatial-Temporal Consistency", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.projectsgoal.com/download_projects/image-processing/image-processing-GIM00018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7490397", "http://doi.org/10.1109/TIP.2016.2580463", "https://doi.org/10.1109/TIP.2016.2580463", "https://www.ncbi.nlm.nih.gov/pubmed/27323362"]}, {"id": "c049912e3ac45b1e2bc3432db2828754a0c66057", "title": "Mining a Deep And-OR Object Semantics from Web Images via Cost-Sensitive Question-Answer-Based Active Annotations", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c049/912e3ac45b1e2bc3432db2828754a0c66057.pdf"], "doi": []}, {"id": "27c6cd568d0623d549439edc98f6b92528d39bfe", "title": "Regressive Tree Structured Model for Facial 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": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Hsu_Regressive_Tree_Structured_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410796", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.439", "http://doi.org/10.1109/ICCV.2015.439"]}, {"id": "085ceda1c65caf11762b3452f87660703f914782", "title": "Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting", "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": "2016", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780823", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.454", "http://doi.org/10.1109/CVPR.2016.454"]}, {"id": "3fb3c7dd12561e9443ac301f5527d539b1f4574e", "title": "Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", "addresses": [{"name": "North Carolina Univ., Charlotte, NC, USA", "source_name": "North Carolina Univ., Charlotte, NC, USA", "street_adddress": "9201 University City Blvd, Charlotte, NC 28223, USA", "lat": "35.30709290", "lng": "-80.73516400", "type": "edu", "country": "United States"}, {"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"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://research.cs.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "http://research.rutgers.edu/~shaoting/paper/ICCV13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yu_Pose-Free_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.research.rutgers.edu/~xiangyu/paper/iccv13_face_final.pdf", "https://webpages.uncc.edu/~szhang16/paper/ICCV13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751352", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.244", "http://doi.org/10.1109/ICCV.2013.244"]}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"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": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "a52d9e9daf2cb26b31bf2902f78774bd31c0dd88", "title": "Understanding and Designing Convolutional Networks for Local Recognition Problems", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a52d/9e9daf2cb26b31bf2902f78774bd31c0dd88.pdf"], "doi": []}, {"id": "488a61e0a1c3768affdcd3c694706e5bb17ae548", "title": "Fitting a 3D Morphable Model to Edges: A Comparison Between Hard and Soft Correspondences", "addresses": [{"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.01125.pdf"], "doi": []}, {"id": "fb87045600da73b07f0757f345a937b1c8097463", "title": "Reflective Regression of 2D-3D Face Shape Across Large Pose", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c54/2fef80a35a4f930e5c82040b52c58e96ce87.pdf"], "doi": []}, {"id": "b9237a613306050cd6d194c71c58a7f85bfb70e9", "title": "Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment", "addresses": [{"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "Kiwi Technology Inc., Nanjing, China", "source_name": "Kiwi Technology Inc., Nanjing, China", "street_adddress": "Nanjing, Jiangsu, China", "lat": "32.06025500", "lng": "118.79687700", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545898", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545898", "http://doi.org/10.1109/ICPR.2018.8545898"]}, {"id": "cad2bd940e7580490da9cc739e597d029e166504", "title": "Salient-points-guided face alignment", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00530-017-0555-8"]}, {"id": "90ddf1aabf1c73b5fc45254a2de46e53a0bde857", "title": "An improved eLBPH method for facial identity recognition: Expression-specific weighted local binary pattern histogram", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418917", "http://doi.org/10.1109/ROBIO.2015.7418917"]}, {"id": "46551095a2cc4976d6be0165c31c37b0c5638719", "title": "Multimodal assistive technologies for depression diagnosis and monitoring", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Ministry of Higher Education, Riyadh, Kingdom of Saudi Arabia", "source_name": "Ministry of Higher Education, Riyadh, Kingdom of Saudi Arabia", "street_adddress": "\u0627\u0644\u0637\u0627\u0628\u0642 \u0627\u0644\u0633\u0627\u0628\u0639 \u060c \u0627\u0644\u062b\u0627\u0645\u0646 \u060c \u0627\u0644\u062a\u0627\u0633\u0639\u060c King Fahd Branch Rd, Al Olaya, Riyadh 11351, Saudi Arabia", "lat": "24.70573950", "lng": "46.67466470", "type": "gov", "country": "Saudi Arabia"}, {"name": "National ICT Australia, Eveleigh, Australia", "source_name": "National ICT Australia, Eveleigh, Australia", "street_adddress": "5/13 Garden St, Eveleigh NSW 2015, Australia", "lat": "-33.89543780", "lng": "151.19721330", "type": "edu", "country": "Australia"}, {"name": "Queensland Institute of Medical Research, Brisbane, Australia", "source_name": "Queensland Institute of Medical Research, Brisbane, Australia", "street_adddress": "300 Herston Rd, Brisbane City QLD 4006, Australia", "lat": "-27.44956100", "lng": "153.02726600", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}, {"name": "University of New South Wales", "source_name": "University of New South Wales", "street_adddress": "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "lat": "-33.91758275", "lng": "151.23124025", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/wp-content/uploads/file/roland/publications/Journal/JMUI/joshi_goecke_alghowinem_dhall_wagner_epps_parker_breakspear_JMUI2013_MultimodalAssistiveTechnologiesForDepressionDiagnosisAndMonitoring.pdf", "http://users.cecs.anu.edu.au/~adhall/Joshi_MultiModal_Depression_Analysis.pdf"], "doi": ["http://doi.org/10.1007/s12193-013-0123-2"]}, {"id": "6bacd4347f67ec60a69e24ed7cc0ac8073004e6f", "title": "Kinship classification based on discriminative facial patches", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7051528", "http://doi.org/10.1109/VCIP.2014.7051528"]}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "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"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "b9c262838db89597a7f9c0cb937cb7d671ab4544", "title": "Accelerating Proposal Generation Network for Fast Face Detection on Mobile Devices", "addresses": [{"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451737"]}, {"id": "090ff8f992dc71a1125636c1adffc0634155b450", "title": "Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment", "addresses": [{"name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences", "source_name": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "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": "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": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/090f/f8f992dc71a1125636c1adffc0634155b450.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "37c8514df89337f34421dc27b86d0eb45b660a5e", "title": "Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Uricar_Facial_Landmark_Tracking_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406476", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.127", "http://doi.org/10.1109/ICCVW.2015.127"]}, {"id": "3bebb79f8f49aa11dd4f6d60d903172db02bf4f3", "title": "Task-based control of articulated human pose detection for OpenVL", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://hct.ece.ubc.ca/publications/pdf/oleinikov-etal-wacv2014.pdf", "http://www.cs.ubc.ca/~little/links/papers/openvl.pdf", "http://www.freeviewpointvideo.co.uk/Publications/Papers/Oleinikov14WACV.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836036", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836036", "http://doi.org/10.1109/WACV.2014.6836036"]}, {"id": "1afdedba774f6689eb07e048056f7844c9083be9", "title": "Markov Random Field Structures for Facial Action Unit Intensity Estimation", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/sandbach2013markov.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W22/papers/Sandbach_Markov_Random_Field_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755969"]}, {"id": "2f5e057e35a97278a9d824545d7196c301072ebf", "title": "Capturing Long-Tail Distributions of Object Subcategories", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://vision.ics.uci.edu/papers/ZhuAR_CVPR_2014/ZhuAR_CVPR_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Zhu_Capturing_Long-tail_Distributions_2014_CVPR_paper.pdf", "http://www.ics.uci.edu/~xzhu/paper/poster_cvpr14_longtail.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909517", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.122", "http://doi.org/10.1109/CVPR.2014.122"]}, {"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"], "doi": []}, {"id": "614079f1a0d0938f9c30a1585f617fa278816d53", "title": "Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02374.pdf"], "doi": []}, {"id": "af29ad70ab148c83e1faa8b3098396bc1cd87790", "title": "Unconstrained face detection: a Deep learning and Machine learning combined approach", "addresses": [{"name": "Solapur University", "source_name": "Solapur University, N.B.N.Sinhgad College of Engineering, Kegoan, Solpaur, India", "street_adddress": "Gat No. 38/1 B, Solapur - Pune Hwy, Kegaon, Maharashtra 413255, India", "lat": "17.72782300", "lng": "75.85033550", "type": "edu", "country": "India"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s40012-016-0149-1"]}, {"id": "8e92168860d8c6591a0c088573629e4d167f5947", "title": "Look at the Driver, Look at the Road: No Distraction! No Accident!", "addresses": [{"name": "The University of Auckland", "source_name": "Embedded Systems Research Group, The University of Auckland, Auckland, New Zealand", "street_adddress": "UniServices House, Level, 6/70 Symonds St, Grafton, Auckland 1010, New Zealand", "lat": "-36.85604780", "lng": "174.76640670", "type": "edu", "country": "New Zealand"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Rezaei_Look_at_the_2014_CVPR_paper.pdf", "https://researchspace.auckland.ac.nz/bitstream/handle/2292/24243/CVPR-2014.pdf;jsessionid=8D2A9288450EAE2022D172D14C0D39CC?sequence=12"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909418", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.24", "http://doi.org/10.1109/CVPR.2014.24"]}, {"id": "191d30e7e7360d565b0c1e2814b5bcbd86a11d41", "title": "Discriminative Deep Face Shape Model for Facial Point Detection", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://homepages.rpi.edu/~wuy9/DiscriminativeDeepFaceShape/DiscriminativeDeepFaceShape_IJCV.pdf", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2014.pdf", "https://www.ecse.rpi.edu/~cvrl/wuy/Face_shape_prior_RBM.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0775-8"]}, {"id": "232b6e2391c064d483546b9ee3aafe0ba48ca519", "title": "Optimization Problems for Fast AAM Fitting in-the-Wild", "addresses": [{"name": "University of Lincoln", "source_name": "University of Lincoln", "street_adddress": "University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu", "country": "United Kingdom"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://doc.utwente.nl/89696/1/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://eprints.eemcs.utwente.nl/24238/01/Pantic_Optimization_problems_for_fast_AAM_fitting.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tzimiro_pantic_iccv2013.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Tzimiropoulos_Optimization_Problems_for_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751183", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.79", "http://doi.org/10.1109/ICCV.2013.79"]}, {"id": "5b6bed112e722c0629bcce778770d1b28e42fc96", "title": "Can Your Eyes Tell Me How You Think? A Gaze Directed Estimation of the Mental Activity", "addresses": [{"name": "University \u201cPolitehnica\u201d of Bucharest", "source_name": "LAPI & Natural Computing Labs, University \u201cPolitehnica\u201d of Bucharest, 061071, Romania", "street_adddress": "Bucharest, Romania", "lat": "44.42676740", "lng": "26.10253840", "type": "edu", "country": "Romania"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5b6b/ed112e722c0629bcce778770d1b28e42fc96.pdf"], "doi": []}, {"id": "2059d2fecfa61ddc648be61c0cbc9bc1ad8a9f5b", "title": "Co-Localization of Audio Sources in Images Using Binaural Features and Locally-Linear Regression", "addresses": [{"name": "GIPSA-lab", "source_name": "GIPSA-lab, BP 46 - 38402 St Martin d'Heres - France", "street_adddress": "11 Rue des Math\u00e9matiques, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19344150", "lng": "5.76631150", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1408.2700.pdf"], "doi": []}, {"id": "ad37d01c4787d169daff7da52e80e2018aab6358", "title": "Fast and Exact Newton and Bidirectional Fitting of Active Appearance Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "The University of Notthingham", "source_name": "The University of Notthingham, Nottingham, U.K.", "street_adddress": "Nottingham NG7 2RD, UK", "lat": "52.93863600", "lng": "-1.19515820", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/bidirectional_newton_aam.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/newton_and_bidirectional_aam.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7792677", "http://doi.org/10.1109/TIP.2016.2642828", "https://www.ncbi.nlm.nih.gov/pubmed/28026767", "https://www.wikidata.org/entity/Q48029365"]}, {"id": "4dd71a097e6b3cd379d8c802460667ee0cbc8463", "title": "Multi-view facial landmark detector learned by the Structured Output SVM", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/uricar/Uricar-BWILD2015.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2016.02.004"]}, {"id": "496074fcbeefd88664b7bd945012ca22615d812e", "title": "Driver Distraction Using Visual-Based Sensors and Algorithms", "addresses": [{"name": "University of Oviedo", "source_name": "University of Oviedo, Gij\u00f3n, Spain", "street_adddress": "Campus Universitario, 33203 Gij\u00f3n, Asturias, Spain", "lat": "43.52348240", "lng": "-5.62492300", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4960/74fcbeefd88664b7bd945012ca22615d812e.pdf"], "doi": []}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406475", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.126", "http://doi.org/10.1109/ICCVW.2015.126"]}, {"id": "17a85799c59c13f07d4b4d7cf9d7c7986475d01c", "title": "Extending Procrustes Analysis: Building Multi-view 2-D Models from 3-D Human Shape Samples", "addresses": [{"name": "Universitat Polit\u00e8cnica de Catalunya, Barcelona, Spain", "source_name": "GREC Research Group, Universitat Polit\u00e8cnica de Catalunya, Barcelona, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/17a8/5799c59c13f07d4b4d7cf9d7c7986475d01c.pdf"], "doi": []}, {"id": "1989a1f9ce18d8c2a0cee3196fe6fa363aab80c2", "title": "Robust online face tracking-by-detection", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["http://www.es.ele.tue.nl/~sander/publications/icme16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552914", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552914", "http://doi.org/10.1109/ICME.2016.7552914"]}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark 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": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265507", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.296", "http://doi.org/10.1109/ICCVW.2017.296"]}, {"id": "a812368fe1d4a186322bf72a6d07e1cf60067234", "title": "Gaussian processes for modeling of facial expressions", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a812/368fe1d4a186322bf72a6d07e1cf60067234.pdf"], "doi": []}, {"id": "1c25a3c8ef3e2c4dbff337aa727d13f5eba40fb2", "title": "Artistic stylization of face photos based on a single exemplar", "addresses": [{"name": "Memorial University of Newfoundland", "source_name": "Memorial University of Newfoundland", "street_adddress": "Memorial University of Newfoundland, Overpass, St. John's, Newfoundland and Labrador, A1B 5S7, Canada", "lat": "47.57272510", "lng": "-52.73305444", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-016-1290-4", "https://doi.org/10.1007/s00371-016-1290-4"]}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"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"}, {"name": "Chongqing Medical University", "source_name": "College of Medical Informatics, Chongqing Medical University, Chongqing, China", "street_adddress": "China, Chongqing, Yuzhong, \u6e1d\u5dde\u8def", "lat": "29.53547500", "lng": "106.50451100", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.03687.pdf"], "doi": []}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "addresses": [{"name": "University of Hong Kong", "source_name": "University of Hong Kong", "street_adddress": "\u6d77\u6d0b\u79d1\u5b78\u7814\u7a76\u6240 The Swire Institute of Marine Science, \u9db4\u5480\u9053 Cape D'Aguilar Road, \u9db4\u5480\u4f4e\u96fb\u53f0 Cape D'Aguilar Low-Level Radio Station, \u77f3\u6fb3 Shek O, \u82bd\u83dc\u5751\u6751 Nga Choy Hang Tsuen, \u5357\u5340 Southern District, \u9999\u6e2f\u5cf6 Hong Kong Island, HK, \u4e2d\u56fd", "lat": "22.20814690", "lng": "114.25964115", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"id": "174930cac7174257515a189cd3ecfdd80ee7dd54", "title": "Multi-view Face Detection Using Deep Convolutional Neural Networks", "addresses": [{"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02766.pdf"], "doi": []}, {"id": "2d2e1d1f50645fe20c051339e9a0fca7b176422a", "title": "Evaluation of Dense 3D Reconstruction from 2D Face Images 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": "University of Stirling", "source_name": "Division of Computing Science & Maths, University of Stirling, Stirling, UK", "street_adddress": "University of, Stirling FK9 4LA, United Kingdom", "lat": "56.14541190", "lng": "-3.92057130", "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"}, {"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}, {"name": "Reutlingen University", "source_name": "Reutlingen University", "street_adddress": "Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72762, Deutschland", "lat": "48.48187645", "lng": "9.18682404", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05536.pdf"], "doi": []}, {"id": "5fa6f72d3fe16f9160d221e28da35c1e67a5d951", "title": "A 700fps optimized coarse-to-fine shape searching based hardware accelerator for face alignment", "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": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3062182"]}, {"id": "cf9732deb856b45aa7a9b0e90bde885d7d8a16bd", "title": "ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection", "addresses": [{"name": "University of Illinois at Chicago", "source_name": "University of Illinois at Chicago", "street_adddress": "University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA", "lat": "41.86898915", "lng": "-87.64856256", "type": "edu", "country": "United States"}, {"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": "2017", "pdf": ["https://arxiv.org/pdf/1710.07735.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272722", "http://doi.org/10.1109/BTAS.2017.8272722"]}, {"id": "8a3c5507237957d013a0fe0f082cab7f757af6ee", "title": "Facial Landmark Detection by Deep Multi-task Learning", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fcd7/1c18192928a2e0b264edd4d919ab2f8f652a.pdf"], "doi": []}, {"id": "2cf57aeef8c93d293506a2f7062cac924943eb67", "title": "Trading robust representations for sample complexity through self-supervised visual experience", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2cf5/7aeef8c93d293506a2f7062cac924943eb67.pdf"], "doi": []}, {"id": "fb9ad920809669c1b1455cc26dbd900d8e719e61", "title": "3 D Gaze Estimation from Remote RGB-D Sensors TH\u00c8SE", "addresses": [{"name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland", "street_adddress": "Biblioth\u00e8que de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra", "lat": "46.51841210", "lng": "6.56846540", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fb9a/d920809669c1b1455cc26dbd900d8e719e61.pdf"], "doi": []}, {"id": "0a68747d001aba014acd3b6ec83ba9534946a0da", "title": "Automatic Group Happiness Intensity Analysis", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Dhall_Goecke_Gedeon_TAC2015_AutomaticGroupHappinessIntensityAnalysis.pdf", "http://www.chennaisunday.com/2015DOTNET/Automatic%20Group%20Happiness%20Intensity%20Analysis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7029085", "http://doi.ieeecomputersociety.org/10.1109/TAFFC.2015.2397456", "http://doi.org/10.1109/TAFFC.2015.2397456"]}, {"id": "c5ea084531212284ce3f1ca86a6209f0001de9d1", "title": "Audio-visual speech processing for multimedia localisation", "addresses": [{"name": "The University of Leeds", "source_name": "The University of Leeds, United Kingdom", "street_adddress": "Leeds LS2 9JT, UK", "lat": "53.80668150", "lng": "-1.55503280", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c5ea/084531212284ce3f1ca86a6209f0001de9d1.pdf"], "doi": []}, {"id": "2e942d19333651bf6012374ea9e78d6937fd33ac", "title": "Detecting Faces Using Region-based Fully Convolutional Networks", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05256.pdf"], "doi": []}, {"id": "11ac88aebe0230e743c7ea2c2a76b5d4acbfecd0", "title": "Hybrid Cascade Model for Face Detection in the Wild Based on Normalized Pixel Difference and a Deep Convolutional Neural Network", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/11ac/88aebe0230e743c7ea2c2a76b5d4acbfecd0.pdf"], "doi": []}, {"id": "056ba488898a1a1b32daec7a45e0d550e0c51ae4", "title": "Cascaded Continuous Regression for Real-Time Incremental Face Tracking", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.01137.pdf"], "doi": []}, {"id": "6043070c2f2f592601e90d2c71dc6fafca48056b", "title": "A Real-Time Multi-Task Single Shot 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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451649"]}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "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": "2017", "pdf": ["https://arxiv.org/pdf/1707.05653.pdf"], "doi": []}, {"id": "38183fe28add21693729ddeaf3c8a90a2d5caea3", "title": "Scale-Aware Face Detection", "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/1706.09876.pdf"], "doi": []}, {"id": "0974677f59e78649a40f0a1d85735410d21b906a", "title": "A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65nm CMOS", "addresses": [{"name": "ARM, Inc.", "source_name": "ARM, Inc., San Jose, CA", "street_adddress": "150 Rose Orchard Way, San Jose, CA 95134, USA", "lat": "37.41739310", "lng": "-121.94757210", "type": "company", "country": "United States"}, {"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7858282", "http://doi.org/10.1109/ASPDAC.2017.7858282"]}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "5bd3d08335bb4e444a86200c5e9f57fd9d719e14", "title": "3 D Face Morphable Models \u201c Inthe-Wild \u201d", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5bd3/d08335bb4e444a86200c5e9f57fd9d719e14.pdf"], "doi": []}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark 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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "3214ce1c8c86c0c4670e3f8b8f4351d8fa44434d", "title": "Deep Semantic Pyramids for Human Attributes and Action Recognition", "addresses": [{"name": "Universitat Autonoma de Barcelona", "source_name": "Computer Vision Center, Edifici \u201cO\u201d, Campus UAB,  Bellaterra, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3214/ce1c8c86c0c4670e3f8b8f4351d8fa44434d.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952553", "http://doi.org/10.1109/ICASSP.2017.7952553", "https://doi.org/10.1109/ICASSP.2017.7952553"]}, {"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"], "doi": []}, {"id": "b558be7e182809f5404ea0fcf8a1d1d9498dc01a", "title": "Bottom-up and top-down reasoning with convolutional latent-variable models", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/dc8a/57827ffbe7064979638cf909abf7fcf7fb8d.pdf"], "doi": []}, {"id": "1a85956154c170daf7f15f32f29281269028ff69", "title": "Active Pictorial Structures", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/active_pictorial_structures.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_108_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299182", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299182", "http://doi.org/10.1109/CVPR.2015.7299182"]}, {"id": "0a11b82aa207d43d1b4c0452007e9388a786be12", "title": "Feature Level Multiple Model Fusion Using Multilinear Subspace Analysis with Incomplete Training Set and Its Application to Face Image Analysis", "addresses": [{"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"}, {"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"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0a11/b82aa207d43d1b4c0452007e9388a786be12.pdf"], "doi": []}, {"id": "3802c97f925cb03bac91d9db13d8b777dfd29dcc", "title": "Non-parametric Bayesian Constrained Local Models", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["http://home.isr.uc.pt/~pedromartins/Publications/pmartins_cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Martins_Non-Parametric_Bayesian_Constrained_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909628", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.232", "http://doi.org/10.1109/CVPR.2014.232"]}, {"id": "1564bf0a268662df752b68bee5addc4b08868739", "title": "With whom do I interact? Detecting social interactions in egocentric photo-streams", "addresses": [{"name": "University of Barcelona", "source_name": "University of Barcelona", "street_adddress": "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "lat": "41.38689130", "lng": "2.16352385", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.04129.pdf"], "doi": []}, {"id": "0f829fee12e86f980a581480a9e0cefccb59e2c5", "title": "Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://www.cs.columbia.edu/~liujx09/posters/birdpart_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Liu_Bird_Part_Localization_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751424", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.313", "http://doi.org/10.1109/ICCV.2013.313"]}, {"id": "4e72d964c28ba909f646b4eabd7c4aa61c14885c", "title": "Detecting Disguise Attacks on Multi-spectral Face Recognition Through Spectral Signatures", "addresses": [{"name": "Goa University", "source_name": "Goa University, India", "street_adddress": "Taleigao Plateau, Goa 403206, India", "lat": "15.45841400", "lng": "73.83455500", "type": "edu", "country": "India"}, {"name": "Norwegian Biometrics Laboratory, NTNU, Gj\u00f8vik, Norway", "source_name": "Norwegian Biometrics Laboratory, NTNU, Gj\u00f8vik, Norway", "street_adddress": "Teknologivegen 22, 2815 Gj\u00f8vik, Norway", "lat": "60.78973180", "lng": "10.68219270", "type": "edu", "country": "Norway"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545076"]}, {"id": "1255afbf86423c171349e874b3ac297de19f00cd", "title": "Robust Face Recognition by Computing Distances From Multiple Histograms of Oriented Gradients", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_SSCI_2015/data/7560a203.pdf", "http://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/Multi_HOG_Face_Recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7376612", "http://doi.org/10.1109/SSCI.2015.39"]}, {"id": "0387b32d0ebd034dc778972367e7d4194223785d", "title": "Emotion recognition with boosted tree classifiers", "addresses": [{"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2531740"]}, {"id": "4eb8030b31ff86bdcb063403eef24e53b9ad4329", "title": "LSTM for dynamic emotion and group emotion recognition in the wild", "addresses": [{"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2997640"]}, {"id": "7ebd323ddfe3b6de8368c4682db6d0db7b70df62", "title": "Location-based Face Recognition Using Smart Mobile Device Sensors", "addresses": [{"name": "University of Victoria", "source_name": "University of Victoria, BC V8W3P6, Canada", "street_adddress": "3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada", "lat": "48.46340670", "lng": "-123.31169350", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7ebd/323ddfe3b6de8368c4682db6d0db7b70df62.pdf"], "doi": []}, {"id": "e8875b317c2e0ed6fba0c908d599b3772a400bdd", "title": "Non-rigid 3D Shape Registration using an Adaptive Template", "addresses": [{"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07973.pdf"], "doi": []}, {"id": "33ae696546eed070717192d393f75a1583cd8e2c", "title": "Subspace selection to suppress confounding source domain information in AAM transfer learning", "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": "2017", "pdf": ["https://arxiv.org/pdf/1708.08508.pdf"], "doi": []}, {"id": "0de91641f37b0a81a892e4c914b46d05d33fd36e", "title": "RAPS: Robust and Efficient Automatic Construction of Person-Specific Deformable Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://eprints.eemcs.utwente.nl/25816/01/Pantic_RAPS_Robust_and_Efficient_Automatic_Construction.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/raps.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Sagonas_RAPS_Robust_and_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909627", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.231", "http://doi.org/10.1109/CVPR.2014.231"]}, {"id": "a136ccaa67f660c45d3abb8551c5ed357faf7081", "title": "Active appearance pyramids for object parametrisation and fitting", "addresses": [{"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": "2016", "pdf": ["http://wrap.warwick.ac.uk/78863/1/WRAP_9870435-cs-010516-aap-zhang-bhalerao-media-accepted-version.pdf", "http://www2.warwick.ac.uk/fac/sci/dcs/people/research/csrnab/active_appearance_pyramids_medima__preprint.pdf", "https://warwick.ac.uk/fac/sci/dcs/people/research/csrnab/publications/1090_editor_version.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27078863", "http://doi.org/10.1016/j.media.2016.03.005", "https://doi.org/10.1016/j.media.2016.03.005"]}, {"id": "eb9bcf9e3f8856c92e7720b63b7e846df37de0c3", "title": "Efficient SMQT features for snow-based classification on face detection and character recognition tasks", "addresses": [{"name": "Xerox Research Center Webster, 800 Phillips Road, MS147-57B, Webster, NY 14580", "source_name": "Xerox Research Center Webster, 800 Phillips Road, MS147-57B, Webster, NY 14580", "street_adddress": "800 Phillips Rd, Webster, NY 14580, USA", "lat": "43.22398820", "lng": "-77.41709460", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6466644"]}, {"id": "9c1cdb795fd771003da4378f9a0585730d1c3784", "title": "Stacked Deformable Part Model with Shape Regression for Object Part Localization", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900568.pdf", "http://www.cbsr.ia.ac.cn/users/jjyan/ECCV2014_jjyan.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_37"]}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014997", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.263", "http://doi.org/10.1109/CVPRW.2017.263"]}, {"id": "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "title": "HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "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": "2019", "pdf": ["https://arxiv.org/pdf/1603.01249.pdf"], "doi": []}, {"id": "42ea8a96eea023361721f0ea34264d3d0fc49ebd", "title": "Parameterized Principal Component Analysis", "addresses": [{"name": "Florida State University", "source_name": "Florida State University", "street_adddress": "Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04695.pdf"], "doi": []}, {"id": "8fbec9105d346cd23d48536eb20c80b7c2bbbe30", "title": "The effectiveness of face detection algorithms in unconstrained crowd scenes", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835992"]}, {"id": "cfba667644508853844c45bfe5d0b8a2ffb756d3", "title": "Robust gender classification using extended multi-spectral imaging by exploring the spectral angle mapper", "addresses": [{"name": "University of Goa", "source_name": "University of Goa, India", "street_adddress": "Taleigao Plateau, Goa 403206, India", "lat": "15.45841400", "lng": "73.83455500", "type": "edu", "country": "India"}, {"name": "Norwegian Biometrics Laboratory, NTNU", "source_name": "Norwegian Biometrics Laboratory, NTNU - Gjøvik, Norway", "street_adddress": "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "lat": "63.41949900", "lng": "10.40207710", "type": "edu", "country": "Norway"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311455", "http://doi.org/10.1109/ISBA.2018.8311455"]}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "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"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014995", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.261", "http://doi.org/10.1109/CVPRW.2017.261"]}, {"id": "4932b929a2e09ddebedcb1abe8c62f269e7d4e33", "title": "Color based vehicle classification in surveillance videos", "addresses": [{"name": "Alg\u0131lay\u0131c\u0131lar, G\u00f6r\u00fcnt\u00fc ve Sinyal \u0130\u015fleme Grubu, HAVELSAN A.\u015e. Ankara, T\u00fcrkiye", "source_name": "Alg\u0131lay\u0131c\u0131lar, G\u00f6r\u00fcnt\u00fc ve Sinyal \u0130\u015fleme Grubu, HAVELSAN A.\u015e. Ankara, T\u00fcrkiye", "street_adddress": "Ankara, Turkey", "lat": "39.93336350", "lng": "32.85974190", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7496076", "http://doi.org/10.1109/SIU.2016.7496076"]}, {"id": "774cbb45968607a027ae4729077734db000a1ec5", "title": "From Bikers to Surfers: Visual Recognition of Urban Tribes", "addresses": [{"name": "University of Zaragoza", "source_name": "University of Zaragoza, Spain", "street_adddress": "Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain", "lat": "41.64206390", "lng": "-0.90150650", "type": "edu", "country": "Spain"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://vision.cornell.edu/se3/wp-content/uploads/2014/09/utribes_bmvc13_final.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0014/abstract0014.pdf"], "doi": ["https://doi.org/10.5244/C.27.14"]}, {"id": "59bece468ed98397d54865715f40af30221aa08c", "title": "Deformable part-based robust face detection under occlusion by using face decomposition into face components", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2016", "pdf": ["https://bib.irb.hr/datoteka/833608.BiForD2016_11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7522352", "http://doi.org/10.1109/MIPRO.2016.7522352"]}, {"id": "c88ce5ef33d5e544224ab50162d9883ff6429aa3", "title": "Face Match for Family Reunification: Real-World Face Image Retrieval", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c88c/e5ef33d5e544224ab50162d9883ff6429aa3.pdf"], "doi": []}, {"id": "0d0b880e2b531c45ee8227166a489bf35a528cb9", "title": "Structure Preserving Object Tracking", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b838.pdf", "http://www.cs.ucf.edu/courses/cap6412/spr2014/papers/SPOT-CVPR2013.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhang_Structure_Preserving_Object_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619084", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.240", "http://doi.org/10.1109/CVPR.2013.240"]}, {"id": "5be3cc1650c918da1c38690812f74573e66b1d32", "title": "Relative Parts: Distinctive Parts for Learning Relative Attributes", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2014", "pdf": ["http://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/papers/Yashaswi2014Relative.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Sandeep_Relative_Parts_Distinctive_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909857", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.462", "http://doi.org/10.1109/CVPR.2014.462"]}, {"id": "19a9f658ea14701502d169dc086651b1d9b2a8ea", "title": "Structural models for 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"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/JJYan-FG2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553703", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553703", "http://doi.org/10.1109/FG.2013.6553703"]}, {"id": "4aa27c1f8118dbb39809a0f79a28c0cbc3ede276", "title": "3D Visual Speech Animation from Image Sequences", "addresses": [{"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "Universit\u00e9 de Lorraine", "source_name": "Universit\u00e9 de Lorraine, LORIA, UMR 7503", "street_adddress": "Campus Scientifique, 615 Rue du Jardin-Botanique, 54506 Vand\u0153uvre-l\u00e8s-Nancy, France", "lat": "48.66579550", "lng": "6.15842070", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2683530"]}, {"id": "7698ba9fd1f49157ca2666a93311afbf1ff4e66c", "title": "Visual object detection with deformable part models", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2494532"]}, {"id": "b85d0aef3ee2883daca2835a469f5756917e76b7", "title": "Semantic movie summarization based on string of IE-RoleNets", "addresses": [{"name": "Key Laboratory of Medical Image Computing, Northeastern University, China", "source_name": "Key Laboratory of Medical Image Computing (Northeastern University), Ministry of Education, Shenyang, China", "street_adddress": "360 Huntington Ave, Boston, MA 02115, USA", "lat": "42.33980670", "lng": "-71.08917170", "type": "edu", "country": "United States"}, {"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": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s41095-015-0015-3"]}, {"id": "b93bf0a7e449cfd0db91a83284d9eba25a6094d8", "title": "Supplementary Material for : Active Pictorial Structures", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b93b/f0a7e449cfd0db91a83284d9eba25a6094d8.pdf"], "doi": []}, {"id": "14418ae9a6a8de2b428acb2c00064da129632f3e", "title": "Discovering the Spatial Extent of Relative Attributes", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://fanyix.cs.ucdavis.edu/project/discovery/files/ext_abstract.pdf", "http://fanyix.cs.ucdavis.edu/project/discovery/files/iccv2015.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Xiao_Discovering_the_Spatial_ICCV_2015_paper.pdf", "http://web.cs.ucdavis.edu/~yjlee/projects/iccv2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Xiao_Discovering_the_Spatial_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410528", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.171", "http://doi.org/10.1109/ICCV.2015.171"]}, {"id": "84e6669b47670f9f4f49c0085311dce0e178b685", "title": "Face frontalization for Alignment and Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00852.pdf"], "doi": []}, {"id": "86204fc037936754813b91898377e8831396551a", "title": "Dense Face Alignment", "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": ["https://arxiv.org/pdf/1709.01442.pdf"], "doi": []}, {"id": "950171acb24bb24a871ba0d02d580c09829de372", "title": "Speeding up 2 D-Warping for Pose-Invariant Face Recognition", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9501/71acb24bb24a871ba0d02d580c09829de372.pdf"], "doi": []}, {"id": "ad8bd7016132a2f98ff1f41dac695285e71cc4b1", "title": "A face alignment method based on SURF features", "addresses": [{"name": "Changchun University of Science and Technology, China", "source_name": "College of electronic and information engineer Changchun University of Science and Technology Changchun China", "street_adddress": "7989 Weixing Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, China, 130012", "lat": "43.83467700", "lng": "125.30313500", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301964", "http://doi.org/10.1109/CISP-BMEI.2017.8301964"]}, {"id": "414fdfe5f2e4f32a59bf15062b6e524cbf970637", "title": "RGB-D-Based Face Reconstruction and Recognition", "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": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6914582", "http://doi.org/10.1109/ICPR.2014.67"]}, {"id": "47dabb566f2bdd6b3e4fa7efc941824d8b923a13", "title": "Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model", "addresses": [{"name": "McGill University", "source_name": "McGill University", "street_adddress": "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/47da/bb566f2bdd6b3e4fa7efc941824d8b923a13.pdf"], "doi": []}, {"id": "293ade202109c7f23637589a637bdaed06dc37c9", "title": "Adaptive cascaded regression", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}], "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos2016adaptive.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/antonakos2016adaptive_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532638", "http://doi.org/10.1109/ICIP.2016.7532638"]}]}
\ No newline at end of file
diff --git a/site/datasets/final/coco.json b/site/datasets/final/coco.json
index 5e31a629..dbe4911f 100644
--- a/site/datasets/final/coco.json
+++ b/site/datasets/final/coco.json
@@ -1 +1 @@
-{"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "dataset": {"key": "coco", "name_short": "COCO", "name_display": "COCO Dataset", "name_full": "Microsoft COCO: Common Objects in Context", "purpose": "object and scene recognition", "comment": "First published in 2014, revised in 2015: dataset split in two", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://cocodataset.org/", "verify_do": "Y", "verify_done": "", "cooperative": "N", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "sources": "www, google, bing, flickr", "source_cat": "", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2014", "ongoing": "", "images": "328,000 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "ped_detect, obj", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "key": "coco", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "address": "", "name": "COCO", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "title": "Asking for Help with the Right Question by Predicting Human Visual Performance", "addresses": [{"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebbc/4569b767323c5bf6917c0efdce5d172e721d.pdf"], "doi": []}, {"id": "133f1f2679892d408420d8092283539010723359", "title": "What Makes for Effective Detection Proposals?", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1502.05082.pdf"], "doi": []}, {"id": "e0ef2d1e9bcde8da814bf510a31ce3dc90919ed8", "title": "SHPD: Surveillance Human Pose Dataset and Performance Evaluation for Coarse-Grained Pose Estimation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451116", "http://doi.org/10.1109/ICIP.2018.8451116"]}, {"id": "55761bdf5cbbff5fbede8ee9d0573d1561a9254b", "title": "The Impact of Visual Saliency Prediction in Image Classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5576/1bdf5cbbff5fbede8ee9d0573d1561a9254b.pdf"], "doi": []}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "12a91c9d4a55fc93f15f4acef078c8908af3c9b9", "title": "Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance 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": "2017", "pdf": ["https://arxiv.org/pdf/1708.01642.pdf"], "doi": []}, {"id": "c32b66a9badc57e416cf15287c9c8861b264805b", "title": "Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models.", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01625.pdf"], "doi": []}, {"id": "02a4462e6c63007dda36ca5305f6b57d03f1316f", "title": "The Real-Time Detection of Traffic Participants Using YOLO Algorithm", "addresses": [{"name": "RT-RK, Institute for Computer Based Systems, Novi Sad, Serbia", "source_name": "RT-RK, Institute for Computer Based Systems, Novi Sad, Serbia", "street_adddress": "Narodnog fronta 23A, Novi Sad 21000, Serbia", "lat": "45.23963230", "lng": "19.83640040", "type": "edu", "country": "Serbia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611986"]}, {"id": "0754d3d8fbae668880a3eb91b2bce89543ea467e", "title": "Natural Language Driven Image Edits using a Semantic Image Manipulation Language (SIMPL)", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0754/d3d8fbae668880a3eb91b2bce89543ea467e.pdf"], "doi": []}, {"id": "47067114c681e93322a9152fe7ceb7a9178bb32b", "title": "Monitoring Scene Understanders with Conceptual Primitive Decomposition and Commonsense Knowledge", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4706/7114c681e93322a9152fe7ceb7a9178bb32b.pdf"], "doi": []}, {"id": "fbaceba60619d9f76f7acf6e639669cd6150049e", "title": "Automatic Semantic Content Removal by Learning to Neglect.", "addresses": [{"name": "University of California, Santa Cruz", "source_name": "University of California, Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07696.pdf"], "doi": []}, {"id": "b5cd9e5d81d14868f1a86ca4f3fab079f63a366d", "title": "Tag-based video retrieval by embedding semantic content in a continuous word space", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://ivi.fnwi.uva.nl/isis/publications/2016/AgharwalWCACV2016/AgharwalWCACV2016.pdf", "https://pure.uva.nl/ws/files/2779402/175913_AgharwalWCACV2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477706", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477706", "http://doi.org/10.1109/WACV.2016.7477706"]}, {"id": "6e3e5f5fac0bfe1d54d6d414a1a8c2d8de586eee", "title": "Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation.", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05206.pdf"], "doi": []}, {"id": "c486eeced06b1db66b7deb58496d71074b88fb86", "title": "ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch", "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": "2018", "pdf": ["https://arxiv.org/pdf/1810.08425.pdf"], "doi": []}, {"id": "a3c93737a4497350768b0dda08dbc0826670dc5b", "title": "Diagnosing State-Of-The-Art Object Proposal Methods", "addresses": [{"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.04512.pdf"], "doi": []}, {"id": "bc2856e70ad3c8fe439dec6cc6a2e03d6e090fb7", "title": "What value high level concepts in vision to language problems ?", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ffcc/bb8218b3af88fb7ea9dcd89557cd0156fba7.pdf"], "doi": []}, {"id": "365117e2e47b83ec70014058de13d167619094ad", "title": "Adaptive Object Detection Using Adjacency and Zoom Prediction", "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"}, {"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": "2016", "pdf": ["https://arxiv.org/pdf/1512.07711.pdf"], "doi": []}, {"id": "ad5950257e053b08657ea298f7b89ba358b8bfcf", "title": "Textually Enriched Neural Module Networks for Visual Question Answering", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08697.pdf"], "doi": []}, {"id": "01efec88d36070dc3bc49f341a77476f74d373bc", "title": "Generation and Comprehension of Unambiguous Object Descriptions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02283.pdf"], "doi": []}, {"id": "2c3e7392b865b228f5d56ab025cd3123554be5e1", "title": "Linguistic Unit Discovery from Multi-Modal Inputs in Unwritten Languages: Summary of the \u201cSpeaking Rosetta\u201d JSALT 2017 Workshop", "addresses": [{"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05092.pdf"], "doi": []}, {"id": "8b6493a65285fb72252221e7ef8ad1091bd96b32", "title": "TRAFFIC ANALYSIS USING VISUAL OBJECT DETECTION AND TRACKING", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"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://pdfs.semanticscholar.org/8b64/93a65285fb72252221e7ef8ad1091bd96b32.pdf"], "doi": []}, {"id": "7ce9e79cb63e33faa3be0c534664076e420dd7a1", "title": "Semantic Segmentation of Complex Road Environments from Aerial Images Using Convolutional Neural Networks", "addresses": [{"name": "US Army Engineer Research and Development Center, Vicksburg, MS", "source_name": "Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States", "street_adddress": "3909 Halls Ferry Rd, Vicksburg, MS 39180, USA", "lat": "32.30127170", "lng": "-90.87140670", "type": "mil", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622284", "http://doi.org/10.1109/BigData.2018.8622284"]}, {"id": "2281d8282dc6315eaa5c31821310c1a349ea18b0", "title": "Fast Efficient Object Detection Using Selective Attention", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"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/1811.07502.pdf"], "doi": []}, {"id": "7bfa04eb7ba2830a682a15206370abec49cffd2a", "title": "Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05040.pdf"], "doi": []}, {"id": "0871062654a6ddd18dba940009676aaa1230f879", "title": "Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04535.pdf"], "doi": []}, {"id": "ce142b327974580b297fb84c2c1c799f838bdda5", "title": "VADRA: Visual Adversarial Domain Randomization and Augmentation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00491.pdf"], "doi": []}, {"id": "6b6afc9557dc0670bf2792bde4c4389ac52c707f", "title": "What Action Causes This? Towards Naive Physical Action-Effect Prediction", "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"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fa4f/7ec0d1a3e67c6170638a9502cbad81873b9c.pdf"], "doi": []}, {"id": "1536579229a334640735725e0b886f8d03aca1e8", "title": "Rank of Experts: Detection Network Ensemble", "addresses": [{"name": "Incheon National University", "source_name": "Incheon National University, Incheon, South Korea", "street_adddress": "119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea", "lat": "37.37505480", "lng": "126.63289980", "type": "edu", "country": "South Korea"}, {"name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "source_name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00185.pdf"], "doi": []}, {"id": "19441b8be551e8134dd9eb33238309bc2de0a42f", "title": "Playing for Benchmarks", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07322.pdf"], "doi": []}, {"id": "597bca76d9c983f0b71ff1143d80ea91bf97cb25", "title": "Semi-automatic video object segmentation by advanced manipulation of segmentation hierarchies", "addresses": [{"name": "Disney Research Zurich", "source_name": "Disney Research Zurich", "street_adddress": "Stampfenbachstrasse 48, 8006 Z\u00fcrich, Switzerland", "lat": "47.38047690", "lng": "8.54299640", "type": "company", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.disneyresearch.com/wp-content/uploads/Semi-Automatic-Video-Object-Segmentation-by-Advanced-Manipulation-of-Segmentation-Hierarchies-Paper.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150605225535/Semi-Automatic-Video-Object-Segmentation-by-Advanced-Manipulation-of-Segmentation-Hierarchies-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153600", "http://doi.org/10.1109/CBMI.2015.7153600"]}, {"id": "db7e48d2655521c1a89b579d8cb839a95d6e6a14", "title": "Boosted Attention: Leveraging Human Attention for Image Captioning", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/db7e/48d2655521c1a89b579d8cb839a95d6e6a14.pdf"], "doi": []}, {"id": "28bf62416b5b0f3ca87332b83c3944f515505f66", "title": "Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12348.pdf"], "doi": []}, {"id": "3081b725e1764ec754bee1fe5487000b7adf7936", "title": "Slum Segmentation and Change Detection : A Deep Learning Approach", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07896.pdf"], "doi": []}, {"id": "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "title": "Training Deep Networks with Structured Layers by Matrix Backpropagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.07838.pdf"], "doi": []}, {"id": "c32b09f20badd9ce04309d7c5ebea88336a3345a", "title": "Token-level and sequence-level loss smoothing for RNN language models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05062.pdf"], "doi": []}, {"id": "4cb2d5ea093d52a9dbb5141bde20cbea576efa24", "title": "A cascaded long short-term memory (LSTM) driven generic visual question answering (VQA)", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296600", "http://doi.org/10.1109/ICIP.2017.8296600"]}, {"id": "c45681fa9d9c36a6a196017ef283ac38904f91bb", "title": "Pixel-wise object tracking", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07377.pdf"], "doi": []}, {"id": "27e15e5ae496a228653b69195e7d62a758b73cfa", "title": "Adversarial Removal of Gender from Deep Image Representations", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08489.pdf"], "doi": []}, {"id": "eddd45f8b2febf3800db7642357731cb63116acc", "title": "On the Effects of Spam Filtering and Incremental Learning for Web-Supervised Visual Concept Classification", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Welfengarten 1, 30167 Hannover, Germany", "lat": "52.38296410", "lng": "9.71969890", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912072"]}, {"id": "f2653257faa6d1b718a4cff004f4c7ad66d89c55", "title": "Advances in deep learning approaches for image tagging", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f265/3257faa6d1b718a4cff004f4c7ad66d89c55.pdf"], "doi": []}, {"id": "5b610d9492a940d3e64bbf0cea8de4622e07d8b4", "title": "Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06193.pdf"], "doi": []}, {"id": "0ab65b963f8b71e31bfec188056023147f75303e", "title": "SPNet: Superpixel Pyramid Network for Scene Parsing", "addresses": [{"name": "Beijing University of Technologyy", "source_name": "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "street_adddress": "Chaoyang, China, 100124", "lat": "39.87161100", "lng": "116.47952900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623025"]}, {"id": "98025d3d44e9379736adb1228919272ded9298ae", "title": "Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps", "addresses": [{"name": "Tokyo Institute of Technology", "source_name": "Tokyo Institute of Technology", "street_adddress": "\u6771\u4eac\u5de5\u696d\u5927\u5b66, \u539a\u6728\u8857\u9053, \u7dd1\u533a, \u753a\u7530\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 226-0026, \u65e5\u672c", "lat": "35.51675380", "lng": "139.48342251", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9802/5d3d44e9379736adb1228919272ded9298ae.pdf"], "doi": []}, {"id": "eea248baa16162da661fbb9255e2cfcd5b9f0c05", "title": "Bachelor Project Image Captioning with Convolutional Neural Networks", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eea2/48baa16162da661fbb9255e2cfcd5b9f0c05.pdf"], "doi": []}, {"id": "cc5d91b20c8769d1f040ff9a5166f76cc19d2d55", "title": "Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces", "addresses": [{"name": "CVIT, KCIS, IIIT Hyderabad, India", "source_name": "CVIT, KCIS, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.08631.pdf"], "doi": []}, {"id": "233b52f79d37363d924041e047c6b9d9609cbb17", "title": "Refining faster-RCNN for accurate object detection", "addresses": [{"name": "Kakao Corp.", "source_name": "Kakao corp., 242, Cheomdan-ro, Jeju-si, Jeju-do, Korea", "street_adddress": "242 Cheomdan-ro, Ara-dong, Cheju, Jeju-do, South Korea", "lat": "33.45073890", "lng": "126.57079340", "type": "company", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986913"]}, {"id": "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "title": "Zero-Shot Object Detection", "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"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04340.pdf"], "doi": []}, {"id": "2d541bf669dda499f86b4dd2ac4e263134a3cd4c", "title": "Pixel Objectness", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05349.pdf"], "doi": []}, {"id": "b9dc8cc479cacda1f23b91df00eb03f88cc0c260", "title": "Event Specific Multimodal Pattern Mining for Knowledge Base Construction", "addresses": [{"name": "Columbia Univeristy, New York, NY, USA", "source_name": "Columbia Univeristy, New York, NY, USA", "street_adddress": "116th St & Broadway, New York, NY 10027, United States", "lat": "40.80753550", "lng": "-73.96257270", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2964287"]}, {"id": "9528e2e8c20517ab916f803c0371abb4f0ed488b", "title": "Shallow and Deep Convolutional Networks for Saliency Prediction", "addresses": [{"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00845.pdf"], "doi": []}, {"id": "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "title": "Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10800.pdf"], "doi": []}, {"id": "98735e57075ed6e8ef9d98d7ca4895013492e35b", "title": "Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation", "addresses": [{"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.10307.pdf"], "doi": []}, {"id": "36679b7ea9eb8418410db7a6e2f15aeaf1b8e059", "title": "Weakly Supervised Vehicle Detection in Satellite Images via Multiple Instance Ranking", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546267", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546267", "http://doi.org/10.1109/ICPR.2018.8546267"]}, {"id": "0e0fbead3da9e16b03894b63efc6816fa3ef6d0e", "title": "Open-vocabulary Phrase Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07212.pdf"], "doi": []}, {"id": "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "title": "End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "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"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51f5/e7b847e65a4cd0634ed9efc6b19819742b70.pdf"], "doi": []}, {"id": "18f9a6045ba01cb079c4fa49a630d71bbd27cd92", "title": "A dataset of clinically generated visual questions and answers about radiology images", "addresses": [{"name": "Lister Hill National Center for Biomedical Communications", "source_name": "Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA", "street_adddress": "8600 Rockville Pike, Bethesda, MD 20894, USA", "lat": "38.99595080", "lng": "-77.09883230", "type": "gov", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/18f9/a6045ba01cb079c4fa49a630d71bbd27cd92.pdf"], "doi": []}, {"id": "1aac36122c07ecccfd59d912c22865801f096190", "title": "Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}, {"name": "University of Copenhagen", "source_name": "University of Copenhagen", "street_adddress": "K\u00f8benhavns Universitet, Krystalgade, K\u00f8dbyen, Vesterbro, K\u00f8benhavn, K\u00f8benhavns Kommune, Region Hovedstaden, 1165, Danmark", "lat": "55.68015020", "lng": "12.57232700", "type": "edu", "country": "Denmark"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03827.pdf"], "doi": []}, {"id": "4c7659079b3df5bc746f76b2b1685b0b539832d6", "title": "Domain Adaptive Faster R-CNN for Object Detection in the Wild", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03243.pdf"], "doi": []}, {"id": "3e16de062b9cdeecfcbda0de022f1fc4e741a2e6", "title": "Learning Visually-Grounded Semantics from Contrastive Adversarial Samples", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": ["https://arxiv.org/pdf/1806.10348.pdf"], "doi": []}, {"id": "838420cebfdad4e93221f8fe203c09155983141a", "title": "Subspace Alignment Based Domain Adaptation for RCNN Detector", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.05578.pdf"], "doi": []}, {"id": "80eab89ff1c5c2cfc1ea62e2088cfc9b62de8d35", "title": "Emergent Translation in Multi-Agent Communication", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06922.pdf"], "doi": []}, {"id": "d983ce0a7d249bb85d14a66a89225a7136cc783b", "title": "A Single-shot Object Detector with Feature Aggragation and Enhancement", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02923.pdf"], "doi": []}, {"id": "e05b4f3757a3b33324e96f8b9b71e7d4eb5a1fa9", "title": "Controllable Top-down Feature Transformer", "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": "2017", "pdf": ["https://arxiv.org/pdf/1712.02400.pdf"], "doi": []}, {"id": "35498b80ee457e409c0962e03a6e170a917c83af", "title": "Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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": "2017", "pdf": ["https://arxiv.org/pdf/1703.05446.pdf"], "doi": []}, {"id": "ba7890a5e9e51bf6181cc3c03144796cb3e5e254", "title": "Query : \" A man in a red sweatshirt performing breakdance \"", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba78/90a5e9e51bf6181cc3c03144796cb3e5e254.pdf"], "doi": []}, {"id": "24ff2797234e26bb2ffd4558eb4412df0625687e", "title": "Mind Your Language: Abuse and Offense Detection for Code-Switched Languages", "addresses": [{"name": "Adobe Systems", "source_name": "Adobe Systems", "street_adddress": "343 Preston St, Ottawa, ON K1S 1N4, Canada", "lat": "45.40242130", "lng": "-75.70955410", "type": "edu", "country": "South Korea"}, {"name": "IIIT, Delhi", "source_name": "IIIT, Delhi", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08652.pdf"], "doi": []}, {"id": "d31d4bb58f5dd67016e77352ac7600e2ba71e38f", "title": "Deep Learning Object Detection Methods for Ecological Camera Trap Data", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10842.pdf"], "doi": []}, {"id": "faf73a84c9ce13cdfc9014fa89ecde9927c8c84a", "title": "Meta Networks for Neural Style Transfer", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.04111.pdf"], "doi": []}, {"id": "0020784920bf7ff6cb51d0b6061b99fd77161c3e", "title": "Learning Instance-Aware Object Detection Using Determinantal Point Processes", "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/1805.10765.pdf"], "doi": []}, {"id": "d7ed61f57d26c192a75d088854d937d549efa37c", "title": "A Multi-Layer Approach to Superpixel-based Higher-order Conditional Random Field for Semantic Image Segmentation", "addresses": [{"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02032.pdf"], "doi": []}, {"id": "528d1ad4725277b25f17c951c7aa637f58da1c9e", "title": "Text and Object Detection on Billboards", "addresses": [{"name": "Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand", "source_name": "Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand", "street_adddress": "1 Thanon Chalong Krung, Lat Krabang, Khet Lat Krabang, Krung Thep Maha Nakhon 10520, Thailand", "lat": "13.73095530", "lng": "100.78117740", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8534879", "http://doi.org/10.1109/iciteed.2018.8534879"]}, {"id": "0c5f9f5083b9fca4dcdbc4b122099ac1f630728b", "title": "Visual Semantic Role Labeling", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04474.pdf"], "doi": []}, {"id": "f4af49a1ead3c81cc5d023878cb67c5646dd8a04", "title": "Learning a Recurrent Visual Representation for Image Caption Generation", "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": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.5654.pdf"], "doi": []}, {"id": "73b5261948b9b1e998bc84edf061efd354dac479", "title": "Watching the TV Watchers", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3214291"]}, {"id": "9d27197ecc73ac0c3a664499c62975068251bf9c", "title": "Studying Object Naming with Online Photos and Caption", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "NICTA / Australian National University", "source_name": "NICTA / Australian National University, Canberra, Australia", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814817"]}, {"id": "72d7c465ef199a9670b3da7a318b0227f5cc3229", "title": "Visual Referring Expression Recognition: What Do Systems Actually Learn?", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11818.pdf"], "doi": []}, {"id": "2c761495cf3dd320e229586f80f868be12360d4e", "title": "Revisiting Unreasonable Effectiveness of Data in Deep Learning Era", "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": "2017", "pdf": ["https://arxiv.org/pdf/1707.02968.pdf"], "doi": []}, {"id": "c0006a2268d299644e9f1b455601bcbe89ddc2b5", "title": "Semantic Video Segmentation by Gated Recurrent Flow Propagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.08871.pdf"], "doi": []}, {"id": "52a08919efb7a1d0f28eda82bacd9d495639a6b3", "title": "Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04794.pdf"], "doi": []}, {"id": "96fdc0131dc80ffa6d7b9c526e07f080414c54ec", "title": "1 Paying More A ention to Saliency : Image Captioning with Saliency and Context A ention", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}, {"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96fd/c0131dc80ffa6d7b9c526e07f080414c54ec.pdf"], "doi": []}, {"id": "59d0d7ccec2db66cad20cac5721ce54a8a058294", "title": "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.05877.pdf"], "doi": []}, {"id": "cb8f0d0e529e27c67f04e748266f084c07679755", "title": "Scene Image Synthesis from Natural Sentences Using Hierarchical Syntactic Analysis", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967193"]}, {"id": "a875c22ca30a99a013d728313420e418e398fafd", "title": "Strong-Weak Distribution Alignment for Adaptive Object Detection.", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04798.pdf"], "doi": []}, {"id": "eb7ddda1bfa709497af9d0b2010d61d659a1816f", "title": "Training CNNs from Synthetic Data for Part Handling in Industrial Environments", "addresses": [{"name": "BTU Cottbus-Senftenberg, Cottbus, Germany", "source_name": "BTU Cottbus-Senftenberg, Chair of Automation Technology, Cottbus, Germany", "street_adddress": "Platz der Deutschen Einheit 1, 03046 Cottbus, Germany", "lat": "51.76698700", "lng": "14.32695000", "type": "edu", "country": "Germany"}, {"name": "Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany", "source_name": "Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany", "street_adddress": "Stuttgarter Str. 90, 70736 Fellbach, Germany", "lat": "48.81313800", "lng": "9.26374900", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560470", "http://doi.org/10.1109/COASE.2018.8560470"]}, {"id": "3f93ad8732ed2e92f09536ad744d1111cab93522", "title": "Weakly Supervised Attention Learning for Textual Phrases Grounding", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00545.pdf"], "doi": []}, {"id": "1c5b168c29d1c8b3dc753865c741b9f3c56d0555", "title": "Auto-Encoding Scene Graphs for Image Captioning", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02378.pdf"], "doi": []}, {"id": "20af3b2a011eabfdc3021a5e78995c5ce592575c", "title": "Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment", "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"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552556", "http://doi.ieeecomputersociety.org/10.1109/TBDATA.2016.2602231", "http://doi.org/10.1109/TBDATA.2016.2602231"]}, {"id": "193a69489230de1013dff9af1232e5379cc5282f", "title": "Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia", "source_name": "Integrated Management Coastal Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/193a/69489230de1013dff9af1232e5379cc5282f.pdf"], "doi": []}, {"id": "f9f01af981f8d25f0c96ea06d88be62dabb79256", "title": "Terahertz Image Detection with the Improved Faster Region-Based Convolutional Neural Network", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f9f0/1af981f8d25f0c96ea06d88be62dabb79256.pdf"], "doi": []}, {"id": "3b8a3b4ed02a15b2ba329727596b704889123a39", "title": "Deep affordance learning for single- and multiple-instance object detection", "addresses": [{"name": "Institute for Infocomm Research Agency for Science, Technology and Research (A\u2217STAR) 1 Fusionopolis Way, #21-01 Connexis (South Tower) Singapore 138632", "source_name": "Institute for Infocomm Research Agency for Science, Technology and Research (A\u2217STAR) 1 Fusionopolis Way, #21-01 Connexis (South Tower) Singapore 138632", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://oar.a-star.edu.sg/jspui/bitstream/123456789/2242/1/1570379510(2).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227883"]}, {"id": "ade2266f249f91767b0949ae600fe1048237e567", "title": "Maya Codical Glyph Segmentation: A Crowdsourcing Approach", "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": ["http://publications.idiap.ch/downloads/papers/2017/Can_IEEETMM_2017.pdf", "http://publications.idiap.ch/downloads/reports/2016/Can_Idiap-RR-01-2017.pdf", "http://publications.idiap.ch/downloads/reports/2017/Can_Idiap-RR-01-2017.pdf", "https://infoscience.epfl.ch/record/225945/files/Can_Idiap-RR-01-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048535", "http://doi.org/10.1109/TMM.2017.2755985"]}, {"id": "989282f579fdca0ebdc890cf05cac88c29f9eb49", "title": "Benchmarking and Error Diagnosis in Multi-instance Pose Estimation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05388.pdf"], "doi": []}, {"id": "403537a81f9c295ab5770fd82abe4f7542be9200", "title": "Driver Pose Estimation by Hybrid Convolutional Network Architecture", "addresses": [{"name": "National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, China", "source_name": "National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, Shaanxi, 710049, China", "street_adddress": "Jiaoda Commerce Block, Beilin, Xi'an, Shaanxi, China, 710049", "lat": "34.24845540", "lng": "108.98873940", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623392"]}, {"id": "1695d0112d2e2c6df8bbe1d6abe18a457eba90dc", "title": "Classification of Crash and Near-Crash Events from Dashcam Videos and Telematics", "addresses": [{"name": "Verizon Connect Research, Florence, Italy", "source_name": "Verizon Connect Research, via Paisiello 16-20, Florence, 50144, Italy", "street_adddress": "Via Giovanni Paisiello, 20, 50144 Firenze FI, Italy", "lat": "43.78205540", "lng": "11.23259400", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569952", "http://doi.org/10.1109/ITSC.2018.8569952"]}, {"id": "2fc6647858a1c7d6f51c4c57368e50677f30c0a9", "title": "Simultaneous object detection and localization using convolutional neural networks", "addresses": [{"name": "Mohammed V University in Rabat", "source_name": "LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco", "street_adddress": "Angle avenues des FAR et Allal El Fassi, Hay Ryad, B.P. 8027 N.U.\u060c Rabat 10102, Morocco", "lat": "33.97023350", "lng": "-6.87447300", "type": "edu", "country": "Morocco"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354045"]}, {"id": "4066f186ff58d300090c652925ed0aed3355efec", "title": "Solving Visual Madlibs with Multiple Cues", "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": "2016", "pdf": ["https://arxiv.org/pdf/1608.03410.pdf"], "doi": []}, {"id": "5de5848dc3fc35e40420ffec70a407e4770e3a8d", "title": "WebVision Database: Visual Learning and Understanding from Web Data", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02862.pdf"], "doi": []}, {"id": "7897f6a19d5211bf6387f5c9e141c90a0cc84566", "title": "One-shot Texture Segmentation", "addresses": [{"name": "University of T\u00fcbingen", "source_name": "University of T\u00fcbingen", "street_adddress": "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "lat": "48.52947820", "lng": "9.04377400", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02654.pdf"], "doi": []}, {"id": "947f2d465df60ec49f441f02733edbeb81dde2f2", "title": "Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03517.pdf"], "doi": []}, {"id": "5b1e42e0ff78880dccdf4d90cfd5c6e3e577f923", "title": "Deep Feature Pyramid Reconfiguration 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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07993.pdf"], "doi": []}, {"id": "d7221695df4de3f34d5e4a877b71c14bc88760d2", "title": "Proposal Incorporating Structural Bias into Neural Networks", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/d722/1695df4de3f34d5e4a877b71c14bc88760d2.pdf"], "doi": []}, {"id": "dc5fc803b64b49217babab378efe29f35b697d2f", "title": "Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"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"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-017-1752-9"]}, {"id": "4f69ad0e52e37ba06db1c2b89c180f3ba331cc4a", "title": "Automatic Generation of Grounded Visual Questions", "addresses": [{"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}, {"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06530.pdf"], "doi": []}, {"id": "8060ae8621a20e5cbf6e974aab12ad34c37e9651", "title": "Intelligent surveillance system for abandoned luggage", "addresses": [{"name": "Orta Do\u011fu Teknik \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Kuzey K\u0131br\u0131s Kamp\u00fcs\u00fc, Kalkanl\u0131, Kuzey K\u0131br\u0131s", "street_adddress": "Kalkanl\u0131, G\u00fczelyurt", "lat": "35.24908700", "lng": "33.02407600", "type": "edu", "country": "Turkey"}, {"name": "Elektrik - Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Kuzey K\u0131br\u0131s Kamp\u00fcs\u00fc, Kalkanl\u0131, Kuzey K\u0131br\u0131s", "source_name": "Elektrik - Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Kuzey K\u0131br\u0131s Kamp\u00fcs\u00fc, Kalkanl\u0131, Kuzey K\u0131br\u0131s", "street_adddress": "Kalkanl\u0131, G\u00fczelyurt", "lat": "35.24908700", "lng": "33.02407600", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404327", "http://doi.org/10.1109/SIU.2018.8404327"]}, {"id": "87fa9d667f8f41eb04831356dc8d68b190693e5e", "title": "Chat-crowd: A Dialog-based Platform for Visual Layout Composition", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04081.pdf"], "doi": []}, {"id": "250c0c37947d6dc32e1923c8df99bf64dc5d7e10", "title": "Implicit Negative Sub-Categorization and Sink Diversion for Object Detection", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8125749", "http://doi.org/10.1109/TIP.2017.2779270", "https://www.ncbi.nlm.nih.gov/pubmed/29324412", "https://www.wikidata.org/entity/Q50087459"]}, {"id": "9bda68ea52bddf5365e3230761c95424ff1ddec5", "title": "SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9bda/68ea52bddf5365e3230761c95424ff1ddec5.pdf"], "doi": []}, {"id": "b674dae73fcb236ee951d8ae8a36be527d232678", "title": "A sequential guiding network with attention for image captioning", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00228.pdf"], "doi": []}, {"id": "9ded64e83d3ba51513ea00de27c0c770a02b0cf4", "title": "Image Classification using Transfer Learning from Siamese Networks based on Text Metadata Similarity", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9ded/64e83d3ba51513ea00de27c0c770a02b0cf4.pdf"], "doi": []}, {"id": "5fedae3bccf86052ed725e5925bb4ef47f9389c1", "title": "Word Prior Detection Segmentation Input \" The left guy \" Image : Query : a guy left the youth Energy", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5fed/ae3bccf86052ed725e5925bb4ef47f9389c1.pdf"], "doi": []}, {"id": "5d1d45c89ec13f3b0a83078759bb1dfbac695102", "title": "Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map", "addresses": [{"name": "PSL Research University", "source_name": "MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France", "street_adddress": "60 Boulevard Saint-Michel, 75006 Paris, France", "lat": "48.84496370", "lng": "2.33961050", "type": "edu", "country": "France"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438559"]}, {"id": "8e368144360042aad69703a6bffd56e1e72f2af4", "title": "Revisiting Graph Construction for Fast Image Segmentation", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Colorado, Denver", "source_name": "University of Colorado Denver", "street_adddress": "University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA", "lat": "39.74287785", "lng": "-105.00596398", "type": "edu", "country": "United States"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.05650.pdf"], "doi": []}, {"id": "82317f5ac40e982b8ec5b2634f1214db259ca325", "title": "Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation", "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": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08948.pdf"], "doi": []}, {"id": "205e895e03969c96f3c482b0bd26308b16a12bd0", "title": "Image Captioning with an Intermediate Attributes Layer", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/205e/895e03969c96f3c482b0bd26308b16a12bd0.pdf"], "doi": []}, {"id": "8b485d7683e54d2b9c5d5ddf4ed31770bb323dbe", "title": "Hybrid Task Cascade for Instance Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"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"}, {"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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "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": "2019", "pdf": ["https://arxiv.org/pdf/1901.07518.pdf"], "doi": []}, {"id": "637648198f9e91654ce27eaaa40512f2dc870fc1", "title": "Survey of Visual Question Answering: Datasets and Techniques", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03865.pdf"], "doi": []}, {"id": "b99588bd0393a60a0c627970ab6cab7338d08ca6", "title": "Semantic segmentation based on iterative contraction and merging", "addresses": [{"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296488", "http://doi.org/10.1109/ICIP.2017.8296488"]}, {"id": "bb127015474fdc51d4cd6b4dda7176a8c778ea49", "title": "Examining the Impact of Blur on Recognition by Convolutional Networks.", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05760.pdf"], "doi": []}, {"id": "e10ca043fae02972f19292efacddd8e0f216b70c", "title": "Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06049.pdf"], "doi": []}, {"id": "030ab7710a1307cfa2159686dabd07e2b239fb10", "title": "Crowd-Guided Ensembles: How Can We Choreograph Crowd Workers for Video Segmentation?", "addresses": [{"name": "Massachusetts Institute of Technology & ETH Z\u00fcrich", "source_name": "Massachusetts Institute of Technology & ETH Z\u00fcrich, Cambridge, MA, USA", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Qatar Computing Research Institute, Doha, Qatar", "source_name": "Qatar Computing Research Institute, Doha, Qatar", "street_adddress": "Ar-Rayyan, Qatar", "lat": "25.32159140", "lng": "51.42577380", "type": "company", "country": "Qatar"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3173685"]}, {"id": "a3d96844dc4fc3b51f3b8361c72f156800794251", "title": "BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01640.pdf"], "doi": []}, {"id": "cf2ab0e639c19877596036603a3000ce7a1deb35", "title": "Self-supervised Learning of Motion Capture", "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": "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": "2017", "pdf": ["https://arxiv.org/pdf/1712.01337.pdf"], "doi": []}, {"id": "8a12540c85c6835eb6fd36131107d82c50d2b8d0", "title": "Dense Image Representation with Spatial Pyramid VLAD Coding of CNN for Locally Robust Captioning", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09046.pdf"], "doi": []}, {"id": "697f0e24f24b016cef9474db485fe61a667f07b8", "title": "VISER: Visual Self-Regularization", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research", "source_name": "Yahoo Research, USA", "street_adddress": "1680 N Glenville Dr # 100, Richardson, TX 75081, USA", "lat": "32.97000100", "lng": "-96.70543110", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02568.pdf"], "doi": []}, {"id": "9138045b7164876f9c2d6c5891d1f3d13a147d84", "title": "Combining Weakly and Webly Supervised Learning for Classifying Food Images", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08730.pdf"], "doi": []}, {"id": "0ee3aa2a78f9680bb65a823bd9195c879572ec1c", "title": "What Makes an Object Memorable?", "addresses": [{"name": "King Abdullah University of Science and Technology", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"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": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_memorability.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Dubey_What_Makes_an_ICCV_2015_paper.pdf", "http://people.csail.mit.edu/khosla/papers/iccv2015_dubey.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Dubey_What_Makes_an_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410487", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.130", "http://doi.org/10.1109/ICCV.2015.130"]}, {"id": "bddf7da5a21a5d1915cc9ee784223adadbe0aec4", "title": "Question action relevance and editing for visual question answering", "addresses": [{"name": "George Mason University", "source_name": "George Mason University", "street_adddress": "George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA", "lat": "38.83133325", "lng": "-77.30798839", "type": "edu", "country": "United States"}, {"name": "Dipartimento di Informatica, Universit\u00e0 di Salerno, Fisciano, Italy", "source_name": "Dipartimento di Informatica, Universit\u00e0 di Salerno, Fisciano, Italy", "street_adddress": "Universit\u00e0 di Salerno Via Papa, Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.77434920", "lng": "14.78901500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6097-z"]}, {"id": "76b6577f47d6782bf75aca04e361a7b7381b4a84", "title": "Measuring and Modifying the Intrinsic Memorability of Images", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/76b6/577f47d6782bf75aca04e361a7b7381b4a84.pdf"], "doi": []}, {"id": "41a96329d93e7b06ebd6b3a761cc0d50375c5f15", "title": "Visual Learning Beyond Direct Supervision", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://www2.eecs.berkeley.edu/Pubs/TechRpts/2018/EECS-2018-128.pdf"], "doi": ["https://www.base-search.net/Record/2a66cc65fb84214dedf1e3019655a0c160d394ee4e1457c1e1301e57cce6ca94"]}, {"id": "8e325b234e9cb67c285fc256c7e51d5e326952d1", "title": "Single-Shot Bidirectional Pyramid Networks for High-Quality Object 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": "2018", "pdf": ["https://arxiv.org/pdf/1803.08208.pdf"], "doi": []}, {"id": "b90efd4e0a2267b1c47d31ead3c860acb4364cee", "title": "MetaAnchor: Learning to Detect Objects with Customized Anchors", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00980.pdf"], "doi": []}, {"id": "0489a21c77d1646ea3af48d678c3ad9645eef2a9", "title": "Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7765089", "https://www.ncbi.nlm.nih.gov/pubmed/27925605"]}, {"id": "fa2d3c78981ef0e19557e51d85b6dda05345c380", "title": "Detection of valuable left-behind items in vehicle cabins", "addresses": [{"name": "Jaguar Land Rover Research, Coventry, UK", "source_name": "Jaguar Land Rover Research, Coventry, UK", "street_adddress": "Viscount Centre C, Milburn Hill Rd, Coventry CV4 7HS, United Kingdom", "lat": "52.38558050", "lng": "-1.56086400", "type": "company", "country": "United Kingdom"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995862", "http://doi.org/10.1109/IVS.2017.7995862"]}, {"id": "0000fcfd467a19cf0e59169c2f07d730a0f3a8b9", "title": "Exploring Visual Relationship for Image Captioning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07041.pdf"], "doi": []}, {"id": "c93e26b52cb22382ed2627bf32f86fa18d034cbf", "title": "Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09509.pdf"], "doi": []}, {"id": "57922243faec5a60473fb9ec32d9adcd94fb6cc8", "title": "Identifying Most Walkable Direction for Navigation in an Outdoor Environment", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08040.pdf"], "doi": []}, {"id": "89588a697c8b81e38d3793db5055a65c4abc4845", "title": "Swap Retrieval: Retrieving Images of Cats When the Query Shows a Dog", "addresses": [{"name": "KULeuven, Leuven, Belgium", "source_name": "KULeuven, Leuven, Belgium", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749373"]}, {"id": "1b793cc5dceb98c95e816aebc2252205bfd71569", "title": "ADNet: A Deep Network for Detecting Adverts", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04115.pdf"], "doi": []}, {"id": "532c089b43983935e1001c5e35aa35440263beaf", "title": "G-Distillation: Reducing Overconfident Errors on Novel Samples", "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/1804.03166.pdf"], "doi": []}, {"id": "20e24a40dc855fa69aa3d85b4bfdcfb8c9dadb74", "title": "Multi-Networks Joint Learning for Large-Scale Cross-Modal Retrieval", "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": "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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123317"]}, {"id": "04e2b2eab1966ffb0079685baf169d4d7ad4ec8c", "title": "Detecting Sex From Handwritten Examples", "addresses": [{"name": "Independent University Bangladesh", "source_name": "Fab Lab, Independent University Bangladesh, Dhaka, Bangladesh", "street_adddress": "Independent University, Bangladesh Plot 16, \u0986\u09ab\u09a4\u09be\u09ac \u0989\u09a6\u09cd\u09a6\u09bf\u09a8 \u0986\u09b9\u09ae\u09c7\u09a6 \u09b0\u09cb\u09a1, \u09a2\u09be\u0995\u09be, Bangladesh", "lat": "23.81524690", "lng": "90.42796720", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8541214", "http://doi.org/10.1109/icscan.2018.8541214"]}, {"id": "00e19d93780ecf8f807c510a1105749d5bb1a2f3", "title": "Image Description using Deep Neural Networks", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/00e1/9d93780ecf8f807c510a1105749d5bb1a2f3.pdf"], "doi": []}, {"id": "6f3a1216e984c78e7374b3b7ab05612544d345eb", "title": "DeRPN: Taking a further step toward more general object detection", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06700.pdf"], "doi": []}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "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"}, {"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"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "10706113b871354248beb37fe5bb2f31925f7a68", "title": "A Vision-based Transfer Learning Approach for Recognizing Behavioral Symptoms in People with Dementia", "addresses": [{"name": "Edge Hill University", "source_name": "Edge Hill University", "street_adddress": "Edge Hill University, St Helens Road, West Lancashire, Lancs, North West England, England, L39 4QP, UK", "lat": "53.55821550", "lng": "-2.86904651", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639371"]}, {"id": "3921afded8bc8471d784df86f64432fb14b8ef58", "title": "Egocentric Gesture Recognition for Head-Mounted AR devices", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05380.pdf"], "doi": []}, {"id": "d9519d66f9844fcf306cc205593a55cf01090633", "title": "Image2song: Song Retrieval via Bridging Image Content and Lyric Words", "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": "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.05851.pdf"], "doi": []}, {"id": "b5bfe824fc49fe78b538ac15f21c4cd6a9d44347", "title": "Image Caption with Synchronous Cross-Attention", "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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126714"]}, {"id": "6220d0424bc7357e7e381d59baecdff91062ba81", "title": "A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1807.02480.pdf"], "doi": []}, {"id": "c8671a739a95f57946a625c3eada1f4addc60aea", "title": "Transferable Interactiveness Prior for Human-Object Interaction Detection", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08264.pdf"], "doi": []}, {"id": "e38c7d4f8a4399f402ab6bb364ec662fe897bed1", "title": "PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09190.pdf"], "doi": []}, {"id": "d3bbd57899d938e8c4bcafbbda10ceb59638e4db", "title": "Skip-Thought Vectors", "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"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06726.pdf"], "doi": []}, {"id": "11da2d589485685f792a8ac79d4c2e589e5f77bd", "title": "Show and tell: A neural image caption generator", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4555.pdf"], "doi": []}, {"id": "0ae247153afd87f98829359a8b5df0f68d788d75", "title": "A Corpus for Reasoning About Natural Language Grounded in Photographs", "addresses": [{"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": "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": ["https://arxiv.org/pdf/1811.00491.pdf"], "doi": []}, {"id": "30795da8026e875faaffa3d6f2fa03c9c5d14c55", "title": "Richer Semantic Visual and Language Representation for Video Captioning", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3127895"]}, {"id": "2675a66b3f8743cf0551f284244af4f24537c19b", "title": "Learning Visually Grounded Sentence Representations", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.06320.pdf"], "doi": []}, {"id": "5f79398057bf0bbda9ff50067bc1f2950c2a2266", "title": "Progressive Neural Architecture Search", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.00559.pdf"], "doi": []}, {"id": "02588064dd2b4b56d1dad214c1af3a7518832a59", "title": "A survey on deep neural network-based image captioning", "addresses": [{"name": "Dalian Maritime University", "source_name": "Dalian Maritime University, Dalian, China", "street_adddress": "1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China", "lat": "38.87004100", "lng": "121.53414100", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1566-y"]}, {"id": "bb93c56a44a244601daad96a7bb94e41609afc4d", "title": "Towards Improved Design and Evaluation of Epileptic Seizure Predictors", "addresses": [{"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}, {"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://biblio.ugent.be/publication/8519033/file/8520709.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7915772", "http://doi.org/10.1109/TBME.2017.2700086", "https://www.ncbi.nlm.nih.gov/pubmed/28475041", "https://www.wikidata.org/entity/Q38687464"]}, {"id": "19aa506d04d3f7241fc71b595d28b5f1bb99edad", "title": "Compact Generalized Non-local Network", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13125.pdf"], "doi": []}, {"id": "738947f9b0bc50d1b7d5cbe84856bc18fcaee386", "title": "Deep learning-based human head detection and extraction for robotic portrait drawing", "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"}, {"name": "Shenzhen Academy of Robotics, Shenzhen, Guangdong, China", "source_name": "Shenzhen Academy of Robotics, Shenzhen, Guangdong, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324594", "http://doi.org/10.1109/ROBIO.2017.8324594"]}, {"id": "80acc73e29fb324a3e01113bbeddccacaf5283f1", "title": "Generate, Segment and Replace: Towards Generic Manipulation Segmentation.", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.09729.pdf"], "doi": []}, {"id": "b4c48aa7a93f38d2eb60209120a1a8daa61c4545", "title": "Diversity in Object Proposals", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.04308.pdf"], "doi": []}, {"id": "26e425781e4090abfae65b5d68eac72282dd2e31", "title": "Image Captioning with Deep Bidirectional LSTMs", "addresses": [{"name": "University of Potsdam", "source_name": "Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.00790.pdf"], "doi": []}, {"id": "d6c3f9edf5459db8633f9155f55e6f735dd0ce8b", "title": "Edge-Cloud Collaborative Processing for Intelligent Internet of Things: A Case Study on Smart Surveillance", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3196036"]}, {"id": "f831f81f34a9c9dde41c5250b1a9dadf8ec8963b", "title": "Video Object Segmentation with Re-identification", "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": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00197.pdf"], "doi": []}, {"id": "b29c83b6ee10857e09ac3503916ae1b129642cae", "title": "Mo 2 Cap 2 : Real-time Mo bile 3 D Mo tion Cap ture with a Cap-mounted Fisheye Camera", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b29c/83b6ee10857e09ac3503916ae1b129642cae.pdf"], "doi": []}, {"id": "f3b24cdbd1e7fd94d7ad1fa077dfa051bcc8aa38", "title": "AUTOMATIC IMAGE ANNOTATION MODEL USING LSTM APPROACH", "addresses": [{"name": "Varanasi", "source_name": "Varanasi", "street_adddress": "Varanasi, Uttar Pradesh, India", "lat": "25.31764520", "lng": "82.97391440", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f3b2/4cdbd1e7fd94d7ad1fa077dfa051bcc8aa38.pdf"], "doi": []}, {"id": "4f0d7f2926061c9dd6081d95eb9755812f9a16c2", "title": "Videos as Space-Time Region Graphs", "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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01810.pdf"], "doi": []}, {"id": "ad6dedc3f56b1ef2c083cb13c2638eddf208d49b", "title": "An object based graph representation for video comparison", "addresses": [{"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296742", "http://doi.org/10.1109/ICIP.2017.8296742"]}, {"id": "cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de", "title": "Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"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/1802.07101.pdf"], "doi": []}, {"id": "d9aca4cfe6bf49056c4bc6796414355a59cf5fb5", "title": "3D-SSD: Learning Hierarchical Features from RGB-D Images for Amodal 3D Object Detection", "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/1711.00238.pdf"], "doi": []}, {"id": "11f515ead5b4a7259668f2620e808fa8ba5ea65c", "title": "Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues", "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": "2017", "pdf": ["https://arxiv.org/pdf/1611.06641.pdf"], "doi": []}, {"id": "d0593359627cd0744740ea50731d2b98ff6b1937", "title": "Short-term memory with read-only unit in neural image caption generator", "addresses": [{"name": "Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia", "source_name": "Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia", "street_adddress": "62/1 Paruyr Sevak St, Yerevan, Armenia", "lat": "40.21254620", "lng": "44.53266140", "type": "edu", "country": "Armenia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8312163"]}, {"id": "85e283564fca1d1cf4d142647561901a26f144c6", "title": "On the Origin of Deep Learning On the Origin of Deep Learning", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/85e2/83564fca1d1cf4d142647561901a26f144c6.pdf"], "doi": []}, {"id": "3e198f28343fccf502bc20191660dd090ba5356d", "title": "Accurate License Plate Recognition and Super-Resolution Using a Generative Adversarial Networks on Traffic Surveillance Video", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8552121", "http://doi.org/10.1109/icce-asia.2018.8552121"]}, {"id": "bc1d609520290e0460c49b685675eb5a57fa5935", "title": "An efficient framework for learning sentence representations", "addresses": [{"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": "2018", "pdf": ["https://arxiv.org/pdf/1803.02893.pdf"], "doi": []}, {"id": "704b46c9c255cd22b4712dcc6bc417d6fefc1e18", "title": "Learning RoI Transformer for Detecting Oriented Objects 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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00155.pdf"], "doi": []}, {"id": "7f1d7688c4923cab09bf0a548e6f1fc1dd916b51", "title": "Boundary aware image segmentation with unsupervised mixture models", "addresses": [{"name": "Technical University Dortmund", "source_name": "Image Analysis Group, Technical University Dortmund, Otto-Hahn-Str. 4, 44227 Dortmund, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296898", "http://doi.org/10.1109/ICIP.2017.8296898"]}, {"id": "0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813", "title": "Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04960.pdf"], "doi": []}, {"id": "3d22f972448a2336677ae6ff2877fae010c7dfa2", "title": "What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02043.pdf"], "doi": []}, {"id": "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "title": "Training object class detectors with click supervision Dim", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/c0ef/854f4119a74b37211aa4cc36b8c1addd9057.pdf"], "doi": []}, {"id": "0e23229289b1fbea14bc425718bc0a227d100b8e", "title": "Survey of Recent Advances in Visual Question Answering", "addresses": [{"name": "Hyderabad, India", "source_name": "Hyderabad, India", "street_adddress": "Hyderabad, Telangana, India", "lat": "17.38504400", "lng": "78.48667100", "type": "edu", "country": "India"}, {"name": "Adobe Systems", "source_name": "Adobe Systems", "street_adddress": "343 Preston St, Ottawa, ON K1S 1N4, Canada", "lat": "45.40242130", "lng": "-75.70955410", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08203.pdf"], "doi": []}, {"id": "6950b44613b7a98e860d800fdbbe1693c6444729", "title": "Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint", "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": "2018", "pdf": ["https://arxiv.org/pdf/1807.09972.pdf"], "doi": []}, {"id": "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "title": "Exploring Person Context and Local Scene Context for Object Detection.", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08177.pdf"], "doi": []}, {"id": "828ac57f755db989e2886042a85278ae4823297c", "title": "Uncovering the Temporal Context for Video Question Answering", "addresses": [{"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": "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": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-1033-7"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "69c22f1f72de76dfd4f5b90621dad4969674da1e", "title": "Convolution Neural Networks With Two Pathways for Image Style Recognition", "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": "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7945535", "http://doi.org/10.1109/TIP.2017.2710631", "https://www.ncbi.nlm.nih.gov/pubmed/28613168", "https://www.wikidata.org/entity/Q38726144"]}, {"id": "5820ba4c09695ce677a5aca6b0628c024303e60b", "title": "Semantic Correspondence: A Hierarchical Approach", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03560.pdf"], "doi": []}, {"id": "2d3d4883350a48708cdc0c260479110e5eed965a", "title": "Leveraging Visual Question Answering for Image-Caption Ranking", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01379.pdf"], "doi": []}, {"id": "7a82d83f818cdc4ac714e468446bc2499ff9caa7", "title": "Object Referring in Videos with Language and Human Gaze", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01582.pdf"], "doi": []}, {"id": "1cfbaa9af05f0eea03ac7c28cc0e588687cd8343", "title": "Self-view Grounding Given a Narrated 360{\\deg} Video", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08664.pdf"], "doi": []}, {"id": "a678b68abd4047d5342f64725f57a04647a47711", "title": "From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12772.pdf"], "doi": []}, {"id": "19d1855e021561d6da9d0200bb18e47f51cddda6", "title": "Visual Storytelling", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"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": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03968.pdf"], "doi": []}, {"id": "eecd9a070ed333077a066bfdcf776c51c2c74406", "title": "Deep image representations using caption generators", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09142.pdf"], "doi": []}, {"id": "b9566216ec1e5dcd02e3a222987f1934e44c773e", "title": "Neuron-level Selective Context Aggregation for Scene Segmentation", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"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://arxiv.org/pdf/1711.08278.pdf"], "doi": []}, {"id": "8c3cf0c579a28890e21428fcad7f09175e65e43d", "title": "Adding object detection skills to visual dialogue agents", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8c3c/f0c579a28890e21428fcad7f09175e65e43d.pdf"], "doi": []}, {"id": "e559630c5710afb0d5eb8f95141e451393bbcbd9", "title": "Factors Influencing The Performance of Image Captioning Model: An Evaluation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007136"]}, {"id": "e6d8ebfd88ee333deccce32b09ee41d271af6dc4", "title": "Grasp2Vec: Learning Object Representations from Self-Supervised Grasping", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06964.pdf"], "doi": []}, {"id": "aea6dfb43df75b176ff209f5510a0f17256a4d0a", "title": "Learning 3 D Scene Synthesis from Annotated RGB-D Images", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"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": "2016", "pdf": ["https://pdfs.semanticscholar.org/aea6/dfb43df75b176ff209f5510a0f17256a4d0a.pdf"], "doi": []}, {"id": "b7407b2ea67b8c82246f013f4966c4cac1507e60", "title": "Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b740/7b2ea67b8c82246f013f4966c4cac1507e60.pdf"], "doi": []}, {"id": "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "title": "Natural Language Object Retrieval", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.04164.pdf"], "doi": []}, {"id": "e4b9c14951cea6259dd9d522586ba2c5bb1fbcce", "title": "Social Image Captioning: Exploring Visual Attention and User Attention", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4b9/c14951cea6259dd9d522586ba2c5bb1fbcce.pdf"], "doi": []}, {"id": "cf98c333c8d7d5870c1ce5538bb0c3de3de16657", "title": "Panoptic Segmentation", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00868.pdf"], "doi": []}, {"id": "75cea964884a6f5c35e2954e56fc787ed8f9662c", "title": "Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models", "addresses": [{"name": "University of Science, Vietnam", "source_name": "University of Science, Vietnam", "street_adddress": "227 \u0110\u01b0\u1eddng Nguy\u1ec5n V\u0103n C\u1eeb, Ph\u01b0\u1eddng 4, Qu\u1eadn 5, H\u1ed3 Ch\u00ed Minh, Vietnam", "lat": "10.76291300", "lng": "106.68217170", "type": "edu", "country": "Vietnam"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03407.pdf"], "doi": []}, {"id": "ad8fc03b492590a4282df52fe998d713995d0a0c", "title": "Exploring confusing scene classes for the places dataset: Insights and solutions", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282094", "http://doi.org/10.1109/APSIPA.2017.8282094"]}, {"id": "943c372336ced4b28e15e02fe8db1f4b23bf6835", "title": "Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey", "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": "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"}, {"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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253582", "http://doi.org/10.1109/MSP.2017.2749125"]}, {"id": "4923c6bc3ab501651763f6814a8384745f3d9a4d", "title": "Visual attribute transfer through deep image analogy", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01088.pdf"], "doi": []}, {"id": "0013fae7390cbd34aade7959b4476512d8ab9aa3", "title": "Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10652.pdf"], "doi": []}, {"id": "00ca28c1c8005ae8d06c7afd0284f67c67710c43", "title": "Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12354.pdf"], "doi": []}, {"id": "a88f86093e6f2d14761d4b8cbdcadfeff496c948", "title": "Adversarial Ranking for Language Generation", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.11001.pdf"], "doi": []}, {"id": "30f33cffe390dfcc03d8df28593aebba6afafd59", "title": "Video Predictive Object Detector", "addresses": [{"name": "Queen's University", "source_name": "Queen's University, Belfast, UK", "street_adddress": "University Rd, Belfast BT7 1NN, UK", "lat": "54.58440870", "lng": "-5.93404930", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615054"]}, {"id": "e69b1314cd65a115c98082a5863b92daa4dcf9f0", "title": "Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "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"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7792699", "http://doi.org/10.1109/TMI.2016.2642839", "https://www.ncbi.nlm.nih.gov/pubmed/28026754", "https://www.wikidata.org/entity/Q39062626"]}, {"id": "fe8431a3b4313737183510d8f01003d48870d277", "title": "Superpixel Filtering for Mean Field Inference in CRFs Integrated with Convolutional Neural Networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe84/31a3b4313737183510d8f01003d48870d277.pdf"], "doi": []}, {"id": "99ef290d0eca8cfe8dc086bb1c4571e88eb876e4", "title": "Multi-label image classification with recurrently learning semantic dependencies", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-01615-0"]}, {"id": "2e0f1c89c4e099b14c4d77bd406be9f7b78d6f6d", "title": "GLA: Global\u2013Local Attention for Image Description", "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"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031355", "http://doi.org/10.1109/TMM.2017.2751140"]}, {"id": "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "title": "Computer Vision and Deep Learning for Automated Surveillance Technology", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b0c92f2a619157e2bedf15abb97ed1b0b98f.pdf"], "doi": []}, {"id": "8d0fb60adc54c168587bce2cf5b1c46ba2ac36e3", "title": "Exploiting Saliency for Object Segmentation from Image Level Labels", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08261.pdf"], "doi": []}, {"id": "55b9b1c1c5487f5f62b44340104a9c4cc2ed7c96", "title": "The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question Answering (FSVQA).", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06657.pdf"], "doi": []}, {"id": "0d57ba12a6d958e178d83be4c84513f7e42b24e5", "title": "Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02677.pdf"], "doi": []}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"], "doi": []}, {"id": "0744143542ffcb45b1ad83078c23efa9d3ec2be4", "title": "Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation", "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": "2018", "pdf": ["https://arxiv.org/pdf/1808.04818.pdf"], "doi": []}, {"id": "ee5b4fc5fafa7e883d751557b5c7863503cd92d2", "title": "Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.07177.pdf"], "doi": []}, {"id": "3f15c35d4c5ed41de9f57e06849f750e43fe80b3", "title": "JointFlow : Temporal Flow Fields for Multi Person Pose Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3f15/c35d4c5ed41de9f57e06849f750e43fe80b3.pdf"], "doi": []}, {"id": "d0e20aa3d61b77d17f005a1d24d7cf47600836ef", "title": "Rethinking Atrous Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05587.pdf"], "doi": []}, {"id": "4fa6a688f350831503d158f8f618c58d1e06bc5d", "title": "A Semi-supervised Framework for Image Captioning", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05321.pdf"], "doi": []}, {"id": "7d8c2d29deb80ceed3c8568100376195ce0914cb", "title": "Identity-Aware Textual-Visual Matching with Latent Co-attention", "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/1708.01988.pdf"], "doi": []}, {"id": "3f607dd67b456e3dfb136c70a3dae369945a6076", "title": "Improved Selective Refinement Network for 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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.06651.pdf"], "doi": []}, {"id": "357df3ee0f0c30d5c8abc5a1bdf70122322d6fbd", "title": "O BJECT DETECTORS EMERGE IN D EEP S CENE CNN S", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/08c7/a85c443935468450a162ddeccd2b945660e3.pdf"], "doi": []}, {"id": "ef12de45bd47e03451cde586697601cd7e36c3b9", "title": "Aligning Text and Document Illustrations: Towards Visually Explainable Digital Humanities", "addresses": [{"name": "University of of Modena and Reggio Emilia", "source_name": "University of of Modena and Reggio Emilia", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545064", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545064", "http://doi.org/10.1109/ICPR.2018.8545064"]}, {"id": "6cc46899b415ebef4a70068b2cbd8a50e955aeb6", "title": "Where to put the Image in an Image Caption Generator", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.09137.pdf"], "doi": []}, {"id": "3d732ba534081326eb9de70f2e370a31940c2990", "title": "Semantic image segmentation using fully convolutional neural networks with multi-scale images and multi-scale dilated convolutions", "addresses": [{"name": "Gachon University", "source_name": "Gachon University, Gyeonggi-do, South Korea", "street_adddress": "1342 Seongnam-daero, Bokjeong-dong, Sujeong-gu, Seongnam-si, Gyeonggi-do, South Korea", "lat": "37.45074520", "lng": "127.12884740", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5653-x"]}, {"id": "5ffa8cfea2f5bea0ec7cecfdf76f9478ca87df89", "title": "Context-Aware Captions from Context-Agnostic Supervision", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02870.pdf"], "doi": []}, {"id": "b9146b314812231d09587e3a9f622dda65d3cc40", "title": "A survey on social image understanding", "addresses": [{"name": "Nanjing Normal University Nanjing", "source_name": "Honors College, Nanjing Normal University Nanjing, Jiangsu, 210023, China", "street_adddress": "122 Ninghai Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210097", "lat": "32.05494300", "lng": "118.76494700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8256394", "http://doi.org/10.1109/BESC.2017.8256394"]}, {"id": "9d0c3adbee8098d47c7c0704e0841fa7daf8d161", "title": "The price of debiasing automatic metrics in natural language evalaution", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02202.pdf"], "doi": []}, {"id": "6e97a99b2879634ecae962ddb8af7c1a0a653a82", "title": "Towards Context-aware Interaction Recognition", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06246.pdf"], "doi": []}, {"id": "4cc2dc6e6b1f4575e86217a13b591f605a12b825", "title": "Consistent Optimization for Single-Shot 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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.06563.pdf"], "doi": []}, {"id": "9ac253caa50f7d94eead17ac12499226c0f05e87", "title": "Analysing object detectors from the perspective of co-occurring object categories", "addresses": [{"name": "Nokia Bell Labs, Budapest, Hungary", "source_name": "Nokia Bell Labs, Budapest, Hungary", "street_adddress": "Budapest, Hungary", "lat": "47.49791200", "lng": "19.04023500", "type": "company", "country": "Hungary"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639888"]}, {"id": "102e7bd7660357e1814c821c7f697f2eccececa4", "title": "Predicting Motivations of Actions by Leveraging Text", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "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": "2016", "pdf": ["https://arxiv.org/pdf/1406.5472.pdf"], "doi": []}, {"id": "c2f1aa6395941438501653ea262df63c812e8f71", "title": "Non-parametric human segmentation using support vector machine", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7514714", "http://doi.org/10.1109/ICCE.2016.7430551"]}, {"id": "819d1dcea397e6e671acf74adccdef5750550873", "title": "Representations for Visually Guided Actions", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/819d/1dcea397e6e671acf74adccdef5750550873.pdf"], "doi": []}, {"id": "c1de9803bd0072f017a97c0503308a7b9b4f211b", "title": "Analysis of Spatial, Temporal, and Content Characteristics of Videos in the YFCC100M Dataset", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983559"]}, {"id": "2298a1e437b4f8f2f2f016f1a98c027bf2f7f5bb", "title": "Top-Down Neural Attention by Excitation Backprop", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.00507.pdf"], "doi": []}, {"id": "afa073e5ec712423e300f21bcb2c3f17a69fa9d1", "title": "Style Transfer at 100+ FPS Via Sub-Pixel Super-Resolution", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551538", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2018.8551538", "http://doi.org/10.1109/ICMEW.2018.8551538"]}, {"id": "19317c6aa7f88c79abe03b146aa5d340a11fde3f", "title": "Object Proposal Generation With Fully Convolutional Networks", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7484700", "http://doi.org/10.1109/TCSVT.2016.2576759"]}, {"id": "6a75ef6b36489cb59c61f21f3cd09c50ad5b2995", "title": "MVTec D2S: Densely Segmented Supermarket Dataset", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08292.pdf"], "doi": []}, {"id": "02d6fb270c82c390476faffc6015b3116ddbb60c", "title": "Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd4a/bb49151220b389d9df1f19fecc3d92e0bff4.pdf"], "doi": []}, {"id": "11d256be1eb3da7789c0c9672f467079917baada", "title": "Action Classification via Concepts and Attributes", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.07824.pdf"], "doi": []}, {"id": "549d55a06c5402696e063ce36b411f341a64f8a9", "title": "Learning Deep Structure-Preserving Image-Text Embeddings", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.06078.pdf"], "doi": []}, {"id": "3f5b20c35f55417823f0201862d85af1f31e9348", "title": "Salience Biased Loss for Object Detection in Aerial Images", "addresses": [{"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08103.pdf"], "doi": []}, {"id": "cbe6739ecdb23d61f2ff74481c6b538ef953eb10", "title": "Learning to Learn: Model Regression Networks for Easy Small Sample Learning", "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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cbe6/739ecdb23d61f2ff74481c6b538ef953eb10.pdf"], "doi": []}, {"id": "a4e1a95c32e9477aa1b09073a1fd3ca129aacadc", "title": "Driver Identification System Using Convolutional Neural Network with Background Removal-based Infrared Data Augmentation", "addresses": [{"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500364", "http://doi.org/10.1109/IVS.2018.8500364"]}, {"id": "3e4d8bd8cb917db9bad1ed4382ccb266ab5fa411", "title": "Toward Efficient Simultaneous Detection and Segmentation", "addresses": [{"name": "Beijing Information Science and Technology University", "source_name": "Beijing Information Science and Technology University, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u6e05\u6cb3\u56db\u62d4\u5b50", "lat": "40.04332040", "lng": "116.34181090", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499154", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2018.8499154", "http://doi.org/10.1109/BigMM.2018.8499154"]}, {"id": "4f0b8f730273e9f11b2bfad2415485414b96299f", "title": "BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1805.04687.pdf"], "doi": []}, {"id": "4f9beb035a3d196f653e8528303fdf9ded998e22", "title": "Can You See the (Linguistic) Difference? Exploring Mass/Count Distinction in Vision", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4f9b/eb035a3d196f653e8528303fdf9ded998e22.pdf"], "doi": []}, {"id": "87e1ae939f3632f26a9878fe32674e338cb18094", "title": "C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis", "addresses": [{"name": "IIT Hyderabad, India", "source_name": "IIT Hyderabad, Kandi, Telangana, 502285, India", "street_adddress": "IITH Main Road, Near NH-65, Sangareddy, Kandi, Telangana 502285, India", "lat": "17.59470330", "lng": "78.12310540", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10238.pdf"], "doi": []}, {"id": "7277fdf51bb3fc38f254a5546c53caa4169653c9", "title": "Domain Adaptation for Neural Networks by Parameter Augmentation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00410.pdf"], "doi": []}, {"id": "32812f35efab1fc5bdbcc17d67f27bba31c720c6", "title": "Dropout during inference as a model for neurological degeneration in an image captioning network", "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/1808.03747.pdf"], "doi": []}, {"id": "9534a04de5e99a44df76ea30140f66a62e83fdaa", "title": "Iteratively Trained Interactive Segmentation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04398.pdf"], "doi": []}, {"id": "3349fab3a5e2b7c5194289bdc839f87f556ea3ef", "title": "Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3349/fab3a5e2b7c5194289bdc839f87f556ea3ef.pdf"], "doi": []}, {"id": "eb7e0dfc61f3f9993a39316ccaaa263059b3a108", "title": "Spatially Adaptive Computation Time for Residual Networks", "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", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02297.pdf"], "doi": []}, {"id": "16beefb2f8d0d61e536bf20766e485499906c2e0", "title": "Image Surveillance Assistant", "addresses": [{"name": "Naval Research Laboratory", "source_name": "Naval Research Laboratory", "street_adddress": "Naval Research Laboratory Post Office, 4555, Overlook Avenue Southwest, Washington, D.C., 20375, USA", "lat": "38.82313810", "lng": "-77.01789020", "type": "mil", "country": "United States"}], "year": "2016", "pdf": ["http://cs.umd.edu/~maynord/Image_Surveillance_Assistant.pdf", "https://www.nrl.navy.mil/itd/aic/sites/www.nrl.navy.mil.itd.aic/files/pdfs/(Maynord+%20WACV-16%20WS)%20Intelligent%20Surveillance%20Assistant.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470119", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2016.7470119", "http://doi.org/10.1109/WACVW.2016.7470119"]}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}, {"id": "edafa697ba68874d608015b521c43d04e3584992", "title": "Gated Recurrent Capsules for Visual Word Embeddings", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/edaf/a697ba68874d608015b521c43d04e3584992.pdf"], "doi": []}, {"id": "6e09a291d61f0e26ce3522a1b0fce952fb811090", "title": "Generative Attention Model with Adversarial Self-learning for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126695"]}, {"id": "46253ab8721ced8c9b94234f3a2401efde1e3f2a", "title": "Language Models for Image Captioning: The Quirks and What Works", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01809.pdf"], "doi": []}, {"id": "402324c77b7b4040810480d6947c7db92d491308", "title": "Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.08123.pdf"], "doi": []}, {"id": "64e2ea4ca45cbf1a6ef35f3448c5799354e2f603", "title": "Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection", "addresses": [{"name": "University of Sheffield", "source_name": "The University of Sheffield", "street_adddress": "University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK", "lat": "53.38152480", "lng": "-1.48068143", "type": "edu", "country": "United Kingdom"}, {"name": "National Institutes of Health (NIH) Clinical Center, Bethesda, MD", "source_name": "National Institutes of Health (NIH) Clinical Center, Bethesda, MD", "street_adddress": "10 Center Dr, Bethesda, MD 20814, USA", "lat": "39.00252720", "lng": "-77.10437890", "type": "edu", "country": "United States"}, {"name": "\u00c9cole Centrale de Lyon", "source_name": "Laboratoire LIRIS", "street_adddress": "40 Avenue Guy de Collongue, 69130 \u00c9cully, France", "lat": "45.78359660", "lng": "4.76789480", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103045"]}, {"id": "14c2321851fb5ae580a19726dd2753a525d6ad76", "title": "Grounding of Textual Phrases in Images by Reconstruction", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03745.pdf"], "doi": []}, {"id": "8176e3aea16595b3fe6afdb6c745c9eca98ece06", "title": "The Helping Hand: An Assistive Manipulation Framework Using Augmented Reality and Tongue-Drive Interfaces", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8512668", "http://doi.org/10.1109/EMBC.2018.8512668", "https://www.ncbi.nlm.nih.gov/pubmed/30440831"]}, {"id": "2bc70a13426c79c192c5e57f8a0041d8ecf628a8", "title": "Image Labeling with Markov Random Fields and Conditional Random Fields", "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", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11323.pdf"], "doi": []}, {"id": "af55a25cdd3a2c138e755d5206b35457c1f5760b", "title": "DistInit: Learning Video Representations without a Single Labeled Video", "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": "2019", "pdf": ["https://arxiv.org/pdf/1901.09244.pdf"], "doi": []}, {"id": "9a7784eea6bfa62bf2834ee0b87a3cdda46006f2", "title": "Digital Comics Image Indexing Based on Deep Learning", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9a77/84eea6bfa62bf2834ee0b87a3cdda46006f2.pdf"], "doi": []}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "8de065f412a7d739dff40044212c8506b5c52bf7", "title": "Multi-Person Pose Estimation for PoseTrack with Enhanced Part Affinity Fields", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8de0/65f412a7d739dff40044212c8506b5c52bf7.pdf"], "doi": []}, {"id": "80ef252a17d343ac7b12485c117d6df4a409dee5", "title": "Image Caption with Endogenous\u2013Exogenous Attention", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-019-09979-7"]}, {"id": "bd2a3ad4f28757791c9335033f39ac31cb84b8c7", "title": "ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06752.pdf"], "doi": []}, {"id": "8a1f46d56ef6dfa34412986a802b5affe2512000", "title": "Aided Action Recognition Using Single Images", "addresses": [{"name": "Lehigh University", "source_name": "Lehigh University", "street_adddress": "Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA", "lat": "40.60680280", "lng": "-75.37824880", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8a1f/46d56ef6dfa34412986a802b5affe2512000.pdf"], "doi": []}, {"id": "6d3d61ef9b5ff6d41badbc3d40ea23acbbc9c3fe", "title": "Learning to Evaluate Image Captioning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06422.pdf"], "doi": []}, {"id": "2df1688afdb470a9d9eee95e41fc34ebd0c9036b", "title": "Deep Multimodal Learning: An Effective Method for Video Classification", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.12563.pdf"], "doi": []}, {"id": "ed605dc1e69dccabf47044499e7ec26e30b72b58", "title": "Pre-gen Metrics: Predicting Caption Quality Metrics Without Generating Captions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-11018-5_10"]}, {"id": "c0d0ef94dd3c53c3130b5b8ce38d981929b7adb2", "title": "Weakly- and Semi-supervised Panoptic Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03575.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "43eee49e372e5299608a79f8491fcf40998028df", "title": "Complex event processing for content-based text, image, and video retrieval", "addresses": [{"name": "Army Research Laboratory, Computational and Information Sciences Directorate", "source_name": "Army Research Laboratory, Computational and Information Sciences Directorate", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}, {"name": "Army Research Laboratory, Sensors and Electron Devices Directorate", "source_name": "Army Research Laboratory, Sensors and Electron Devices Directorate", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}, {"name": "Atos Turkey, Ankara, Turkey", "source_name": "Atos Turkey, Ankara, Turkey", "street_adddress": "No: 21, \u00dcniversiteler Mh., Teknokent Silikon Bloklar, 06800 \u00c7ankaya/Ankara, Turkey", "lat": "39.89961620", "lng": "32.77396810", "type": "edu", "country": "Turkey"}, {"name": "Defence Research and Development Canada, Toronto, Ontario", "source_name": "Defence Research and Development Canada, Toronto, Ontario", "street_adddress": "1133 Sheppard Ave W, North York, ON M3K 2C9, Canada", "lat": "43.75107650", "lng": "-79.46945700", "type": "mil", "country": "Canada"}, {"name": "Defence Research and Development Canada, Valcartier, Quebec", "source_name": "Defence Research and Development Canada, Valcartier, Quebec", "street_adddress": "400 Cumberland St, Ottawa, ON K1N 1J8, Canada", "lat": "45.42826030", "lng": "-75.68804370", "type": "mil", "country": "Canada"}, {"name": "TNO, The Hague, Netherlands", "source_name": "TNO, The Hague, Netherlands", "street_adddress": "Anna van Buerenplein 1, 2595 DA Den Haag, Netherlands", "lat": "52.08227700", "lng": "4.32580700", "type": "edu", "country": "Netherlands"}, {"name": "UK Defence Science and Technology Laboratory, Porton, Salisbury, UK", "source_name": "UK Defence Science and Technology Laboratory, Porton, Salisbury, UK", "street_adddress": "Porton Down, Salisbury SP4 0JQ, UK", "lat": "51.13122970", "lng": "-1.70368420", "type": "mil", "country": "United Kingdom"}, {"name": "United States Air Force Research Laboratory, Dayton, OH", "source_name": "United States Air Force Research Laboratory, Dayton, OH", "street_adddress": "1864 4th St, Wright-Patterson AFB, OH 45433, USA", "lat": "39.79084110", "lng": "-84.09897580", "type": "mil", "country": "United States"}], "year": "2016", "pdf": ["http://www.dtic.mil/dtic/tr/fulltext/u2/1011094.pdf", "https://apps.dtic.mil/dtic/tr/fulltext/u2/1011094.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7496546"]}, {"id": "f43012db4836cf671a2a095413ba5ec6725e4a41", "title": "Deep TripletQuantization", "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": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f430/12db4836cf671a2a095413ba5ec6725e4a41.pdf"], "doi": []}, {"id": "ebe7eda4fd10caa326d57b93e8a1e2a13e09a403", "title": "TSCSet: A Crowdsourced Time-Sync Comment Dataset for Exploration of User Experience Improvement", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3172966"]}, {"id": "5ba8bb7d204e7a5a29a043792546577500e2e5c1", "title": "Background Appearance Modeling with Applications to Visual Object Detection in an Open-Pit Mine", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5ba8/bb7d204e7a5a29a043792546577500e2e5c1.pdf"], "doi": []}, {"id": "48320a4be9cc741fdb28ad72f359c449e41309cc", "title": "Manga109 dataset and creation of metadata", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011551"]}, {"id": "6701efa7f715b3c296843b8ff5414a6610711cf9", "title": "Semi-automatic image and video annotation system for generating ground truth information", "addresses": [{"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8343233", "http://doi.ieeecomputersociety.org/10.1109/ICOIN.2018.8343233", "http://doi.org/10.1109/ICOIN.2018.8343233"]}, {"id": "1334d274bca9c94fed724ecfac7e36d3789aea38", "title": "ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector", "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": "Intel Corporation, Hillsboro, OR, USA", "source_name": "Intel Corporation, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.05810.pdf"], "doi": []}, {"id": "632fa986bed53862d83918c2b71ab953fd70d6cc", "title": "What Face and Body Shapes Can Tell About Height", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10355.pdf"], "doi": []}, {"id": "2bf41bf420c8d86dd1bffbacd28c70fa8b12b6dd", "title": "Counting the uncountable: deep semantic density estimation from Space", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07091.pdf"], "doi": []}, {"id": "e4845fb1e624965d4f036d7fd32e8dcdd2408148", "title": "YOLOv3: An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02767.pdf"], "doi": []}, {"id": "663617c728b18e333acb5279e9b1095eeda9287e", "title": "The 2018 DAVIS Challenge on Video Object Segmentation-CVPR 2018 Workshops", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bd1c/72de32b9dafc2c8b392ed26a9977af62fe58.pdf"], "doi": []}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "15147ca5866dc5fbcfa0d91259798599004d051d", "title": "CO-FILTERING HUMAN INTERACTION AND OBJECT SEGMENTATION A Degree Thesis Submitted to the Faculty of the Escola Te\u0300cnica d'Enginyeria de Telecomunicacio\u0301 de Barcelona", "addresses": [{"name": "Universitat Polit\u00e8cnica de Catalunya", "source_name": "Universitat Polit\u00e8cnica de Catalunya", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1514/7ca5866dc5fbcfa0d91259798599004d051d.pdf"], "doi": []}, {"id": "6d880f543e583cf1ba4333be7f3845de4dcbda64", "title": "Recursive Visual Attention in Visual Dialog", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02664.pdf"], "doi": []}, {"id": "cba8b9949e71ff485a4ecba33128e2f206651cac", "title": "An RGBD segmentation model for robot vision learned from synthetic data", "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://pdfs.semanticscholar.org/cba8/b9949e71ff485a4ecba33128e2f206651cac.pdf"], "doi": []}, {"id": "b93cd1e6f1aee81f4f94452c0091d11ee0cb8af3", "title": "Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications", "addresses": [{"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.11078.pdf"], "doi": []}, {"id": "4c33746fc5688da61059daa93978ac887f04cce8", "title": "Trainable performance upper bounds for image and video captioning", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e97f/10c2a4d7edac33597692e6dc243bd86adf10.pdf"], "doi": []}, {"id": "c682ff7a573082c5b69880c4bf84cdd464b70ae5", "title": "Dial2Desc: End-to-end Dialogue Description Generation", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00185.pdf"], "doi": []}, {"id": "3899b49ca98a134fb9d33feab458f2092da32096", "title": "Faster Bounding Box Annotation for Object Detection in Indoor Scenes", "addresses": [{"name": "Sandvik Mining and Construction Oyj, Tampere, Finland", "source_name": "Sandvik Mining and Construction Oyj, Tampere, Finland", "street_adddress": "Pihtisulunkatu 9, 33330 Tampere, Finland", "lat": "61.50907030", "lng": "23.57149070", "type": "company", "country": "Finland"}, {"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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611732"]}, {"id": "2dda7f46bbb8684a3a497dd40aabd4d759a62386", "title": "YouCookII Dataset", "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": "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"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2dda/7f46bbb8684a3a497dd40aabd4d759a62386.pdf"], "doi": []}, {"id": "93b689145277f7594e4bc0af2ffec5d3a31cc1fa", "title": "Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594223"]}, {"id": "14198efb1ea9d1c621dcac44e9c5aad349c0d69f", "title": "Learning to Segment Human by Watching YouTube", "addresses": [{"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "SnapChat Inc., Venice, CA", "source_name": "SnapChat Inc., Venice, CA", "street_adddress": "2772 Donald Douglas Loop N, Santa Monica, CA 90405, USA", "lat": "34.01629660", "lng": "-118.45349590", "type": "company", "country": "United States"}, {"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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7534869"]}, {"id": "72976d066d38d3d378d75dcf1467b0a295acad6b", "title": "iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.10437.pdf"], "doi": []}, {"id": "7fda1edac608bc67e55ac3d7c9dc5a542d8f8aee", "title": "Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01847.pdf"], "doi": []}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "addresses": [{"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"], "doi": []}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "94d177db3f198a3571576e562b4d3d9e816eb3cf", "title": "Dynamic Object Scanning: Object-Based Elastic Timeline for Quickly Browsing First-Person Videos", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3186501"]}, {"id": "4a9831e5fec549edee454709048a51997ef60fb7", "title": "Did the Model Understand the Question?", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05492.pdf"], "doi": []}, {"id": "6f71862aa00d61fc8fd7f205de35ee8af458ec0c", "title": "Semi-supervised Learning of Instance-level Recognition from Video", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6f71/862aa00d61fc8fd7f205de35ee8af458ec0c.pdf"], "doi": []}, {"id": "c41e483fee61e5040eeb49859a481352f8e3f8ac", "title": "TOWARDS BETTER UNDERSTANDING OF DEEP LEARNING WITH VISUALIZATION by HAIPENG ZENG", "addresses": [{"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c41e/483fee61e5040eeb49859a481352f8e3f8ac.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "9a6268d2bc1221ea154097feadea0c58f234d02f", "title": "Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering", "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": "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": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.06794.pdf"], "doi": []}, {"id": "44674b020e9ce46b16ffb72952a7cacb40d01657", "title": "Depth-aware neural style transfer", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}, {"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3092924"]}, {"id": "bce963c494ccce1c66757e69993f578c37564f6d", "title": "Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect?", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08097.pdf"], "doi": []}, {"id": "8dcc95debd07ebab1721c53fa50d846fef265022", "title": "MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images", "addresses": [{"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": "2017", "pdf": ["https://arxiv.org/pdf/1711.07011.pdf"], "doi": []}, {"id": "3ff40f0760bd8d3c46d72147b0f5b0d4aee2a24f", "title": "AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06475.pdf"], "doi": []}, {"id": "e7d6fc6daf70a30993b57efff9a259bd418c5c91", "title": "Infrared and Visible Image Fusion with ResNet and zero-phase component analysis", "addresses": [{"name": "University of Strathclyde", "source_name": "Centre for excellence in Signal and Image Processing, University of Strathclyde, Glasgow, UK", "street_adddress": "16 Richmond St, Glasgow G1 1XQ, UK", "lat": "55.86212200", "lng": "-4.24228510", "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": "2018", "pdf": ["https://arxiv.org/pdf/1806.07119.pdf"], "doi": []}, {"id": "74875368649f52f74bfc4355689b85a724c3db47", "title": "Object detection by labeling superpixels", "addresses": [{"name": "National Laboratory of Pattern Recognition, Chinese Academy of Sciences", "source_name": "National Laboratory of Pattern Recognition, Institute of Automation of Chinese, Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_072.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_072_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299146", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299146", "http://doi.org/10.1109/CVPR.2015.7299146"]}, {"id": "01cb4071a0a43aeef63e5d568ad5afe1fb8b2411", "title": "Domain Separation Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/01cb/4071a0a43aeef63e5d568ad5afe1fb8b2411.pdf"], "doi": []}, {"id": "54b5aab87dbe38803935789c4d730bd203d198a1", "title": "3D Human Pose Estimation in RGBD Images for Robotic Task Learning", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462833"]}, {"id": "09a4f1b7afd8d5f6854b23f0aa9e80b9a0fa6d20", "title": "Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04158.pdf"], "doi": []}, {"id": "f9a14264ca328cfbd817c7458eee5b18592e5d54", "title": "Feature Fusion for Weakly Supervised Object Localization", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623227"]}, {"id": "ab0715642330502d5efca948e4753651cb004d84", "title": "Soft-NMS \u2014 Improving Object Detection with One Line of Code", "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/1704.04503.pdf"], "doi": []}, {"id": "86c158ef6caaf247d5d14e07c5edded0147df8b7", "title": "Spatial Memory for Context Reasoning in Object 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": "2017", "pdf": ["https://arxiv.org/pdf/1704.04224.pdf"], "doi": []}, {"id": "adc55a30b17060d68b5092dfaba52243e39c68f5", "title": "Meaningful maps with object-oriented semantic mapping", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8206392"]}, {"id": "3d5575e9ba02128d94c20330f4525fc816411ec2", "title": "Learning Video Object Segmentation from Static Images", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02646.pdf"], "doi": []}, {"id": "089513ca240c6d672c79a46fa94a92cde28bd567", "title": "RNN Fisher Vectors for Action Recognition and Image Annotation", "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"}, {"name": "IBM Research, Haifa, Israel", "source_name": "IBM Research - Haifa, Israel", "street_adddress": "\u05e7\u05de\u05e4\u05d5\u05e1 \u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, Israel", "lat": "32.76526220", "lng": "35.01576130", "type": "company", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.03958.pdf"], "doi": []}, {"id": "8f1fcd6c3007f48eafeddf5f517c1197b2aab9cc", "title": "DPRed: Making Typical Activation and Weight Values Matter In Deep Learning Computing.", "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/1804.06732.pdf"], "doi": []}, {"id": "c0d5fa2e57646f2cc7dbb9633261af7d20f8a51e", "title": "Joint Global and Co-Attentive Representation Learning for Image-Sentence Retrieval", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240535"]}, {"id": "7ec16949adf6ea78054f6c6512f332a86960b91f", "title": "Computer Vision \u2013 ECCV 2016", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "RWTH Aachen, Aachen, Germany", "source_name": "RWTH Aachen, Aachen, Germany", "street_adddress": "Templergraben 55, 52062 Aachen, Germany", "lat": "50.78007780", "lng": "6.06568690", "type": "edu", "country": "Germany"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46475-6"]}, {"id": "277bfd1bc89044b4a523ef23f48bd053d5560657", "title": "Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08832.pdf"], "doi": []}, {"id": "3e6d2e963f9a1b417871327f648d16f2c66a4068", "title": "Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation", "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://pdfs.semanticscholar.org/3e6d/2e963f9a1b417871327f648d16f2c66a4068.pdf"], "doi": []}, {"id": "cda6d9b0cc1509ec61a43e24e9b7a14b18642aca", "title": "Convolutional Neural Networks combined with Runge-Kutta Methods", "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"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08831.pdf"], "doi": []}, {"id": "9a8662189388dd84ce1ec6e90d103959a4132a95", "title": "Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification", "addresses": [{"name": "Saarbr\u00fccken, Saarland, Germany", "source_name": "Saarbr\u00fccken, Saarland, Germany", "street_adddress": "Saarbr\u00fccken, Germany", "lat": "49.24015720", "lng": "6.99693270", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8036272"]}, {"id": "33bcc97b605f00145098d095be2841a1fa6b9a95", "title": "Order-Embeddings of Images and Language", "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.06361.pdf"], "doi": []}, {"id": "126e5a90e12aee34d33e6d301ab9533acf03c199", "title": "Multi-style Generative Network for Real-Time Transfer", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06953.pdf"], "doi": []}, {"id": "9c1f5547d98f5390e2389ce40668da83a9830487", "title": "Non-parametric Structured Output Networks", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9c1f/5547d98f5390e2389ce40668da83a9830487.pdf"], "doi": []}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "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": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "414315d44a489d09c6e1933033ffba6396974ee1", "title": "Video Visual Relation Detection", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123380"]}, {"id": "d182c6d9ac4777b5ad73afdd64b7b68d76037212", "title": "Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00260.pdf"], "doi": []}, {"id": "7f33a5fcc5db4625c66972f0e6f06540b64d4f1e", "title": "Image Surveillance Assistant Architecture : Status and Planned Extensions", "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"}, {"name": "Naval Research Laboratory", "source_name": "Naval Research Laboratory", "street_adddress": "Naval Research Laboratory Post Office, 4555, Overlook Avenue Southwest, Washington, D.C., 20375, USA", "lat": "38.82313810", "lng": "-77.01789020", "type": "mil", "country": "United States"}, {"name": "Fayetteville State University", "source_name": "Fayetteville State University", "street_adddress": "1200 Murchison Rd, Fayetteville, NC 28301, USA", "lat": "35.07422060", "lng": "-78.89248960", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f33/a5fcc5db4625c66972f0e6f06540b64d4f1e.pdf"], "doi": []}, {"id": "c0e4b6a993a35ded0d17a5e751bd135b795244ae", "title": "Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www3.cs.stonybrook.edu/~cvl/content/papers/2016/LSS_ECCV16.pdf", "http://www3.cs.stonybrook.edu/~minhhoai/papers/LSS_ECCV16.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-46466-4_49"]}, {"id": "237c0c0749aaab0f73ec0641bef2453714da3099", "title": "An Efficient Hierarchical Convolutional Neural Network for Traffic Object Detection", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500640"]}, {"id": "87697847062e7eefec99a8c3aec888e3eef5e5b9", "title": "Unsupervised Learning of Spoken Language with Visual Context", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8769/7847062e7eefec99a8c3aec888e3eef5e5b9.pdf"], "doi": []}, {"id": "15908912ce3943fc5ec281c1cbf062722cb114d7", "title": "Dynamic Graph Modules for Modeling Higher-Order Interactions in Activity Recognition", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "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": "2018", "pdf": ["https://arxiv.org/pdf/1812.05637.pdf"], "doi": []}, {"id": "60542b1a857024c79db8b5b03db6e79f74ec8f9f", "title": "Learning to Detect Human-Object Interactions", "addresses": [{"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": "2018", "pdf": ["https://arxiv.org/pdf/1702.05448.pdf"], "doi": []}, {"id": "41d9719922c81d14f2a39392285c5789f5ea4282", "title": "Head and Body Orientation Estimation Using Convolutional Random Projection Forests", "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": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8219761"]}, {"id": "6459cf454b87fded65a223a30341e5304519a6aa", "title": "Integrated Object Detection and Tracking with Tracklet-Conditioned Detection", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11167.pdf"], "doi": []}, {"id": "7f836c047bc86d52e3a28098b53311cb2186acaa", "title": "Deep Compositional Question Answering with Neural Module Networks", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7f83/6c047bc86d52e3a28098b53311cb2186acaa.pdf"], "doi": []}, {"id": "5f5068645a5cebf923093542302c1fa21e387cee", "title": "ChipGAN: A Generative Adversarial Network for Chinese Ink Wash Painting Style Transfer", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240655"]}, {"id": "84ed65bda3de8a17526a0ad06ae3777fbbbeef20", "title": "Adapting Object Detectors from Images to Weakly Labeled Videos", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/84ed/65bda3de8a17526a0ad06ae3777fbbbeef20.pdf"], "doi": []}, {"id": "f85be6a31b74d6da6f490635d314306d77d0b6c7", "title": "Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog", "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/1802.03881.pdf"], "doi": []}, {"id": "bf8e413869e96afa15ef3ff884cc7739eafa8308", "title": "Deep conditional neural network for image segmentation", "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": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552924", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552924", "http://doi.org/10.1109/ICME.2016.7552924"]}, {"id": "7dcaf1ef07a593a987f3b529c2ad1e977c0c7196", "title": "Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01452.pdf"], "doi": []}, {"id": "1bfc74bad04b407d1792a70d73a3f5dc0be0506d", "title": "Cross-Dataset Adaptation for Visual Question Answering", "addresses": [{"name": "U. of Southern California", "source_name": "U. of Southern California", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03726.pdf"], "doi": []}, {"id": "516d57bbd02a6938a99b45691a3d7864c2fdc70a", "title": "DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification", "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": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.11478.pdf"], "doi": []}, {"id": "d0a934ef5b4edf7ebdc2276048534e4c9acf5a76", "title": "Person Retrieval in Surveillance Video using Height, Color and Gender", "addresses": [{"name": "L. D. College of Engineering, India", "source_name": "L. D. College of Engineering, India", "street_adddress": "120, Circular Road, University Area, Ahmedabad, Gujarat 380015, India", "lat": "23.03380000", "lng": "72.54658400", "type": "edu", "country": "India"}, {"name": "Ahmedabad University", "source_name": "Ahmedabad University", "street_adddress": "School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India", "lat": "23.03787430", "lng": "72.55180046", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639145"]}, {"id": "ce9287a47f00d06ef75fe3ace9adbd7691b6e844", "title": "Large-Scale Visual Relationship Understanding", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.10660.pdf"], "doi": []}, {"id": "c7132da9421bfa06fbc859d6c3d6e621bd7bf472", "title": "Multimodal Deep Embedding via Hierarchical Grounded Compositional Semantics", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7562283"]}, {"id": "c8b592fcf2ed2f75799b94c428d2ccdf1e82c5f7", "title": "RUC-Tencent at ImageCLEF 2015: Concept Detection, Localization and Sentence Generation", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c8b5/92fcf2ed2f75799b94c428d2ccdf1e82c5f7.pdf"], "doi": []}, {"id": "ea8c1ac5a1594d6441d10914e0ccc4bd3e9eadfa", "title": "Anchor Box Optimization for Object Detection", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00469.pdf"], "doi": []}, {"id": "d4a7259340ece685b9dacb390eea10c6684a05b3", "title": "Object Detection based on Region Decomposition and Assembly", "addresses": [{"name": "Incheon National University", "source_name": "Incheon National University, Incheon, South Korea", "street_adddress": "119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea", "lat": "37.37505480", "lng": "126.63289980", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08225.pdf"], "doi": []}, {"id": "c733e4a14b51623120da9b4571b4409bc99ab0cd", "title": "Mainstream: Dynamic Stem-Sharing for Multi-Tenant Video Processing", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2d64/9992d78efd47b22c9a4dcb52386a951b54ea.pdf"], "doi": []}, {"id": "4328ec9d98eff5d7eb70997f76d81b27849f3220", "title": "Scalable, High-Quality Object Detection", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "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": "2014", "pdf": ["https://arxiv.org/pdf/1412.1441.pdf"], "doi": []}, {"id": "e304e516fd4e1499b616f120795600eb688fa93e", "title": "People and Vehicles in Danger - A Fire and Flood Detection System in Social Media", "addresses": [{"name": "CERTH-ITI, Thessaloniki, Greece", "source_name": "CERTH-ITI, Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8448732", "http://doi.org/10.1109/IVMSPW.2018.8448732"]}, {"id": "438d4c181362386590eb703c3b65934a6acbbbdc", "title": "A Multi-Oriented Scene Text Detector with Position-Sensitive Segmentation", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206043"]}, {"id": "29b1a44d1e1ffa05c2bf7f4be931c5045f427718", "title": "ON GENERIC OBJECT RECOGNITION TECHNIQUES : CHALLENGES AND OPPORTUNITIES Prof", "addresses": [{"name": "Nirma University", "source_name": "Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India", "street_adddress": "Sarkhej-Gandhinagar Highway, Gota, Ahmedabad, Gujarat 382481, India", "lat": "23.12838620", "lng": "72.54485080", "type": "edu", "country": "India"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/29b1/a44d1e1ffa05c2bf7f4be931c5045f427718.pdf"], "doi": []}, {"id": "0005a23c0db792ac9d0f5d408c39240ffe4c1d57", "title": "Understanding Fake Faces", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08391.pdf"], "doi": []}, {"id": "f660ea723b62f69b9f4c439724a6b73357e1d3c3", "title": "Survey on the attention based RNN model and its applications in computer vision", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06823.pdf"], "doi": []}, {"id": "057d5f66a873ec80f8ae2603f937b671030035e6", "title": "Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04048.pdf"], "doi": []}, {"id": "05fa7085663bbbd1057c0d240158091930c59c6a", "title": "MovieQA: Understanding Stories in Movies through Question-Answering", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02902.pdf"], "doi": []}, {"id": "2fe87224a5b8db29f72936c1cae17389e1c553ad", "title": "ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06815.pdf"], "doi": []}, {"id": "bb9e418469d018be7f5ac2c4b2435ccac50088a3", "title": "Deep Learning\u2013Based Multimedia Analytics: A Review", "addresses": [{"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3279952"]}, {"id": "4634bf44a0c994e2bed89686225f8cef601a0224", "title": "NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain", "addresses": [{"name": "Lister Hill National Center for Biomedical Communications", "source_name": "Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA", "street_adddress": "8600 Rockville Pike, Bethesda, MD 20894, USA", "lat": "38.99595080", "lng": "-77.09883230", "type": "gov", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4634/bf44a0c994e2bed89686225f8cef601a0224.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "1687d0120e937d5efe2022cbeab19b38edba0608", "title": "A 2 A : Attention to Attention Reasoning for Movie Question Answering", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1687/d0120e937d5efe2022cbeab19b38edba0608.pdf"], "doi": []}, {"id": "dbf777403156adda2d551a973379edd3e2bc5aaa", "title": "Interpretable Explanations of Black Boxes by Meaningful Perturbation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03296.pdf"], "doi": []}, {"id": "4d925db7c9e3cca2e8fed644f750d218a48cd081", "title": "Automatic Concept Discovery from Parallel Text and Visual Corpora", "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": "2015", "pdf": ["https://arxiv.org/pdf/1509.07225.pdf"], "doi": []}, {"id": "d2b2cb1d5cc1aa30cf5be7bcb0494198934caabb", "title": "A Restricted Visual Turing Test for Deep Scene and Event Understanding", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01715.pdf"], "doi": []}, {"id": "07ca470ed3be3a476b6fc1917bbbf4182846d1db", "title": "Transforming sensor data to the image domain for deep learning \u2014 An application to footstep detection", "addresses": [{"name": "University of Fribourg", "source_name": "University of Fribourg", "street_adddress": "Avenue de l'Europe 20, 1700 Fribourg, Switzerland", "lat": "46.80635700", "lng": "7.15200600", "type": "edu", "country": "Switzerland"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01077.pdf"], "doi": []}, {"id": "9dde6ed569684356c46217fa53224272b668bae8", "title": "Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07613.pdf"], "doi": []}, {"id": "eff328e0ecfb9a7a2d6664ee38aa32a61c7b9f42", "title": "Visual Question Reasoning on General Dependency Tree", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00105.pdf"], "doi": []}, {"id": "6115445ca062b8f865f0b447c059813088b9dd49", "title": "A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07810.pdf"], "doi": []}, {"id": "c8e1c1a82b76d7bfd69c04ab6ab057bb946e262f", "title": "Towards Deep Cellular Phenotyping in Placental Histology", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03270.pdf"], "doi": []}, {"id": "1be7ecc7100bb5fdbcff7f5f6191a9b57165fa2c", "title": "Deep Learning for Classification of Colorectal Polyps on Whole-slide Images", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01550.pdf"], "doi": []}, {"id": "290941887c37547462285152ff82796ad71dd757", "title": "Snuba: Automating Weak Supervision to Label Training Data", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df8d/c49f33ac02e2f87aac8343869b2affaf4808.pdf"], "doi": []}, {"id": "71de9b3b8f482863d544da0f26ac2876b4fc210a", "title": "Who Are Raising Their Hands ? Hand-Raiser Seeking Based on Object Detection and Pose Estimation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/71de/9b3b8f482863d544da0f26ac2876b4fc210a.pdf"], "doi": []}, {"id": "cb3e91a4c800c60c3f734dd77a64ced7d81e570e", "title": "Grounded Objects and Interactions for Video Captioning", "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/1711.06354.pdf"], "doi": []}, {"id": "4e83df2bf849eb6af24bf919ddc7bb25c7249c39", "title": "Fusion that matters: convolutional fusion networks for visual recognition", "addresses": [{"name": "Leiden University", "source_name": "Leiden University, Leiden, The Netherlands", "street_adddress": "Rapenburg 70, 2311 EZ Leiden, Netherlands", "lat": "52.15714850", "lng": "4.48520900", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5691-4"]}, {"id": "0e36ada8cb9c91f07c9dcaf196d036564e117536", "title": "Much Ado About Time: Exhaustive Annotation of Temporal Data", "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": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07429.pdf"], "doi": []}, {"id": "d68a6bf394f8f6440426a84d8494e83d08aa1535", "title": "Automatic Portrait Segmentation for Image Stylization", "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": "2016", "pdf": ["http://xiaoyongshen.me/webpage_portrait/papers/portrait_eg16.pdf"], "doi": ["https://doi.org/10.1111/cgf.12814"]}, {"id": "db640eddc51258cf6b11e442745d9a4bd5d6995b", "title": "Simple Baselines for Human Pose Estimation and Tracking", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06208.pdf"], "doi": []}, {"id": "e1f041594fa37d407c80b28a13680a9ddc081c49", "title": "Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11232.pdf"], "doi": []}, {"id": "bb1dc1e9e9c20d99b55f37b9e635457af86a065f", "title": "Neural Ctrl-F: Segmentation-Free Query-by-String Word Spotting in Handwritten Manuscript Collections", "addresses": [{"name": "Uppsala University", "source_name": "Uppsala University, Uppsala, Sweden", "street_adddress": "Uppsala, 752 36 Uppsala, Sweden", "lat": "59.85090050", "lng": "17.63000930", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07645.pdf"], "doi": []}, {"id": "7902309d3c5ab2e1e3a1f08503dc39108e1639dc", "title": "Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01984.pdf"], "doi": []}, {"id": "211fe99400bde5116efea3b42719d00a34931dcd", "title": "Multimodal Differential Network for Visual Question Generation", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03986.pdf"], "doi": []}, {"id": "50ab5859994c76dd69f2ef6c770888408d9ae5d0", "title": "Intention Oriented Image Captions with Guiding Objects", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.07662.pdf"], "doi": []}, {"id": "fbe3ba628fa8435bf1ad4ed153c93109624b8dff", "title": "Understanding the Message of Images with Knowledge Base Traversals", "addresses": [{"name": "University of Mannheim", "source_name": "University of Mannheim, Mannheim, Germany", "street_adddress": "68131 Mannheim, Germany", "lat": "49.48371060", "lng": "8.46223330", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2970414"]}, {"id": "857fb344977e5181bf5a99593ceba09a158d412c", "title": "VCI 2 R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task", "addresses": [{"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/857f/b344977e5181bf5a99593ceba09a158d412c.pdf"], "doi": []}, {"id": "a799babbbd56a047feee85d09e57e2c240c5f50c", "title": "Image describing based on bidirectional LSTM and improved sequence sampling", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078733"]}, {"id": "d4ea0438b6c0479a7d7611130a0dc242a22f93eb", "title": "Pose2Instance: Harnessing Keypoints for Person Instance Segmentation", "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"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01152.pdf"], "doi": []}, {"id": "66652367a369d18e1845dd14220dc94a9748c9fd", "title": "Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification", "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": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"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": "2017", "pdf": ["https://arxiv.org/pdf/1702.05891.pdf"], "doi": []}, {"id": "6f44303f9664a4ceabd0f4bc74cb3886aad5012f", "title": "An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"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": ["https://arxiv.org/pdf/1809.06079.pdf"], "doi": []}, {"id": "d2796a0d1ba7ed9287a9db6f4714585b8508871f", "title": "Human Centred Object Co-Segmentation", "addresses": [{"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": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.03774.pdf"], "doi": []}, {"id": "68d96226fb71daad7d1a4ccbda267062244d9bc0", "title": "Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books", "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"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06724.pdf"], "doi": []}, {"id": "f9e3bef2ffec5bd1e62003a3f1d8f735265b4d2f", "title": "ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks", "addresses": [{"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"}, {"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/1810.07248.pdf"], "doi": []}, {"id": "5a546cd0e8622b32cfdfd0358041f7d7ab00b5d4", "title": "SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08596.pdf"], "doi": []}, {"id": "e0ffda149d1d81fff507953377e08cf4f718d8ae", "title": "Image Captioning with both Object and Scene Information", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984069"]}, {"id": "ee53c9480132fc0d09b1192226cb2c460462fd6d", "title": "Channel Pruning for Accelerating Very Deep Neural Networks", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06168.pdf"], "doi": []}, {"id": "2453dd38cde21f3248b55d281405f11d58168fa9", "title": "Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Multi-Scale_Patch_Aggregation_CVPR_2016_paper.pdf", "http://www.cse.cuhk.edu.hk/~leojia/papers/mpa_cvpr16.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_Multi-Scale_Patch_Aggregation_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780711", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.342", "http://doi.org/10.1109/CVPR.2016.342"]}, {"id": "0abd1a332717f540f1e3297a9eedd9633ad9c3a9", "title": "From UI Design Image to GUI Skeleton: A Neural Machine Translator to Bootstrap Mobile GUI Implementation", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3180240"]}, {"id": "51a03fe7cbcf5c650b5dbdba0bf14be8a45cbaee", "title": "Deep Triplet Quantization", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Tsinghua University & Beijing National Research Center for Information Science and Technology", "source_name": "Tsinghua University & Beijing National Research Center for Information Science and Technology, Beijing, China", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240516"]}, {"id": "85a65932f30b05532e259a99bd6a179af20ab267", "title": "HashNet: Deep Learning to Hash by Continuation", "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": "University of Illinois at Chicago", "source_name": "University of Illinois at Chicago", "street_adddress": "University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA", "lat": "41.86898915", "lng": "-87.64856256", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00758.pdf"], "doi": []}, {"id": "1ed5c62eec52380c285daf2ffa7576d96e4ac150", "title": "Modeling Image Virality with Pairwise Spatial Transformer Networks", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07914.pdf"], "doi": []}, {"id": "6f1c84d5a137ad14e5de9a8728fced8044d05b79", "title": "SketchyScene: Richly-Annotated Scene Sketches", "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"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02473.pdf"], "doi": []}, {"id": "e8cda2c754670850ec722799640c6cb42dfb8199", "title": "4D Generic Video Object Proposals", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09260.pdf"], "doi": []}, {"id": "5abc8b9ac261f320cae1ce6676a3f05038b93436", "title": "Mixed Supervised Object Detection with Robust Objectness Transfer", "addresses": [{"name": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "source_name": "National Laboratory of Pattern Recognition (NLPR) of Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304628"]}, {"id": "645f09f4bc2e6a13663564ee9032ca16e35fc52d", "title": "Interactive Demonstration of Probabilistic Predicates", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3193542"]}, {"id": "397085122a5cade71ef6c19f657c609f0a4f7473", "title": "Using Segmentation to Predict the Absence of Occluded Parts", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db11/4901d09a07ab66bffa6986bc81303e133ae1.pdf"], "doi": []}, {"id": "60ac4be07ab4b20e1b9d0879e9553f05ec581867", "title": "LabelBank: Revisiting Global Perspectives for Semantic Segmentation", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09891.pdf"], "doi": []}, {"id": "0c2cb193274217855000c98a02488885571b55bc", "title": "TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01466.pdf"], "doi": []}, {"id": "a98b63516c7d45eadf8cf4045ea114918eb3b636", "title": "Selective Refinement Network for High Performance 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": "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/1809.02693.pdf"], "doi": []}, {"id": "6a9c3011b5092daa1d0cacda23f20ca4ae74b902", "title": "Fast and Accurate Person Re-Identification with RMNet.", "addresses": [{"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02465.pdf"], "doi": []}, {"id": "3361905a9ff903142e50d5b608f4775f1c5bac1a", "title": "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.11489.pdf"], "doi": []}, {"id": "02a5b7a41ffa8518eb3b7cae9914a2bd2bbc886b", "title": "Fast Online Object Tracking and Segmentation: A Unifying Approach", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05050.pdf"], "doi": []}, {"id": "7e163ae363b62b708566f348da87750284860822", "title": "Weakly-Supervised Spatial Context 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"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02998.pdf"], "doi": []}, {"id": "e4d4346bd415c6fa9187c16a9b7f5c69f48f1ec4", "title": "Towards High Performance Video Object Detection for Mobiles", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.05830.pdf"], "doi": []}, {"id": "0ec03a13063e5811ec9461cf7af04f4f3110ccaa", "title": "Visual Question Answering with Question Representation Update (QRU)", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/2695/46925f0fd457b31c13c2870343b0aed761dc.pdf"], "doi": []}, {"id": "0f1c436aa7b1194e8660f7352315497c38ade853", "title": "GANtruth - an unpaired image-to-image translation method for driving scenarios", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01710.pdf"], "doi": []}, {"id": "be22647956f1bc8cf6f936ae3c85f5637492b6b8", "title": "Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Sharmanska_Ambiguity_Helps_Classification_2016_CVPR_supplemental.pdf", "http://sro.sussex.ac.uk/60510/1/Sharmanska_Ambiguity_Helps_Classification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780610", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.241", "http://doi.org/10.1109/CVPR.2016.241"]}, {"id": "fa5ab04ebf64de3bd57bd0729ce9ca3440258acc", "title": "Unprecedented Usage of Pre-trained CNNs on Beauty Product", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3266433"]}, {"id": "9c2e5e2ba7c5b3a555c6c72f518e3631aab23c19", "title": "RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06612.pdf"], "doi": []}, {"id": "1daaeae28270b06962eb6fcf812a368892b5dff4", "title": "Modeling Visual Context Is Key to Augmenting Object Detection Datasets", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07428.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "41aa209e9d294d370357434f310d49b2b0baebeb", "title": "Beyond caption to narrative: Video captioning with multiple sentences", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05440.pdf"], "doi": []}, {"id": "21c99706bb26e9012bfb4d8d48009a3d45af59b2", "title": "Neural Module Networks", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02799.pdf"], "doi": []}, {"id": "97ccbe3440e5a574b37753ff49165c7ee97a6eb4", "title": "Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects.", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12152.pdf"], "doi": []}, {"id": "2a4bf8d096ea9b6a84ebb6cecf98589a76806777", "title": "Evaluation of Segmentation Quality via Adaptive Composition of Reference Segmentations", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami16_segmentation_evaluation.pdf", "http://faculty.ucmerced.edu/mhyang/papers/pami17_segmentation_evaluation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7723880", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2622703", "http://doi.org/10.1109/TPAMI.2016.2622703", "https://www.ncbi.nlm.nih.gov/pubmed/27810800"]}, {"id": "7c4fdcda302b93c0a275420ddd6e249c565173ff", "title": "VISIR: Visual and Semantic Image Label Refinement", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159693"]}, {"id": "a34de6e26cf34257d6c2fdc9a1801aea46c00b08", "title": "Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport", "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": [], "doi": ["http://dl.acm.org/citation.cfm?id=3220012"]}, {"id": "b181ae8ed315ceb8f03332ba02ef0849adbe5b4c", "title": "Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language Queries", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00303.pdf"], "doi": []}, {"id": "a213405441c68a0ce415a4a842bdd6ac62c1667b", "title": "Enhancement of SSD by concatenating feature maps for object detection.", "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": "2017", "pdf": ["https://arxiv.org/pdf/1705.09587.pdf"], "doi": []}, {"id": "0e08cf0b19f0600dadce0f6694420d643ea9828b", "title": "The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals", "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": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Humayun_The_Middle_Child_ICCV_2015_paper.pdf", "http://web.engr.oregonstate.edu/~lif/Middle_Child_ICCV15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Humayun_The_Middle_Child_ICCV_2015_paper.pdf", "https://smartech.gatech.edu/bitstream/handle/1853/55478/The%20Middle%20Child%20Problem-%20Revisiting%20Parametric%20Min-cut%20and%20Seeds%20for%20Object%20Proposals.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410544", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.187", "http://doi.org/10.1109/ICCV.2015.187"]}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "5d165ff5b0b389e32809c17838a2afc218a91d62", "title": "Object Detectors Emerge in Deep Scene CNNs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6856.pdf"], "doi": []}, {"id": "dc9b95afcbd972d973f3ae29f05bbc8fa45d6a16", "title": "Learning deep structured network for weakly supervised change detection", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "ShanghaiTech University", "source_name": "ShanghaiTech University", "street_adddress": "Yueyang Rd, Xuhui Qu, Shanghai Shi, China", "lat": "31.20254500", "lng": "121.45308600", "type": "edu", "country": "China"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}, {"name": "Murdoch University", "source_name": "Murdoch University, Murdoch, WA, Australia", "street_adddress": "90 South St, Murdoch WA 6150, Australia", "lat": "-32.06651350", "lng": "115.83583130", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.02009.pdf"], "doi": []}, {"id": "9d62a78b006b09fe8f20eb7cb72e2b542cb5fbad", "title": "ImagineNet : Style Transfer from Fine Art to Graphical User Interfaces", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9d62/a78b006b09fe8f20eb7cb72e2b542cb5fbad.pdf"], "doi": []}, {"id": "0ac43cbd4c25994ea2687743c5b666d498831687", "title": "Robust Adversarial Perturbation on Deep Proposal-based Models", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05962.pdf"], "doi": []}, {"id": "95f74ce5a69fdcd2abda908724d2ab4977e72100", "title": "Using Syntax to Ground Referring Expressions in Natural Images", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10547.pdf"], "doi": []}, {"id": "01100c14d0a06376dbb0fae6fe7995f7b3aed8b6", "title": "Active learning for structured probabilistic models with histogram approximation", "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": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_030.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_030_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_030_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Sun_Active_Learning_for_2015_CVPR_paper.pdf", "https://filebox.ece.vt.edu/~dbatra/papers/slb_cvpr15.pdf", "https://www.cc.gatech.edu/~dbatra/papers/slb_cvpr15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298984", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298984", "http://doi.org/10.1109/CVPR.2015.7298984"]}, {"id": "a1b5b0697e46eecc9657954311828cc9b4113a26", "title": "Semantic Segmentation With Object Clique Potentials", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/fd6c/8c23edc6ce6bc97d44b6c739dcfe81b9dcc4.pdf"], "doi": []}, {"id": "ccd02b5cb6acee7db170c0fb7f4cf0dd64a8499f", "title": "Generation with Recursive Neural Networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ccd0/2b5cb6acee7db170c0fb7f4cf0dd64a8499f.pdf"], "doi": []}, {"id": "1cc85b17137c4d6d75e4c418976e7dceb3d7559e", "title": "Open Logo Detection Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01964.pdf"], "doi": []}, {"id": "cd7b872365cc5b5114e0ccb833e307e874a5c3aa", "title": "Video Object Segmentation with Language Referring Expressions", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08006.pdf"], "doi": []}, {"id": "1c0d70587340adc412c6e2afd71012d563c1e724", "title": "Could we create a training set for image captioning using automatic translation?", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi, Hacettepe \u00dcniversitesi, Ankara, T\u00fcrkiye", "source_name": "Bilgisayar Mühendisliği, Hacettepe Üniversitesi, Ankara, Türkiye", "street_adddress": "\u00dcniversiteler Mh., Hacettepe Beytepe Kamp\u00fcs\u00fc No:21, 06800 \u00c7ankaya/Ankara, Turkey", "lat": "39.87143010", "lng": "32.73636570", "type": "edu", "country": "Turkey"}, {"name": "Bilgisayar M\u00fchendisli\u011fi, Orta Doggu Teknik \u00dcniversitesi, Ankara, T\u00fcrkiye", "source_name": "Bilgisayar Mühendisliği, Orta Doggu Teknik Üniversitesi, Ankara, Türkiye", "street_adddress": "\u00dcniversiteler Mh., 06800 \u00c7ankaya/Ankara, Turkey", "lat": "39.89183900", "lng": "32.78334710", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["http://users.metu.edu.tr/snermin/papers/siu2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960638", "http://doi.org/10.1109/SIU.2017.7960638"]}, {"id": "e0821e6bb9efb795b4593229e4eacd6d86cef7d9", "title": "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04310.pdf"], "doi": []}, {"id": "081307db6d8d709af26f49d24041086bb09abfd1", "title": "A general description generator for human activity images based on deep understanding framework", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Guangxi University", "source_name": "Electronics and Information, Guangxi University", "street_adddress": "Chongwen Rd, Xixiangtang Qu, Nanning Shi, Guangxi Zhuangzuzizhiqu, China, 530001", "lat": "22.83760000", "lng": "108.28983900", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-015-2171-x"]}, {"id": "3b08ef7aa0cf9528da42b2b594b66e4a6f7fdb7f", "title": "Active Learning for Delineation of Curvilinear Structures", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.00747.pdf"], "doi": []}, {"id": "0e5d673111e398f6c083623e31c2f498f0bf7b5f", "title": "Resolving References to Objects in Photographs using the Words-As-Classifiers Model", "addresses": [{"name": "Bielefeld University", "source_name": "Bielefeld University", "street_adddress": "Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstra\u00dfe, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland", "lat": "52.02804210", "lng": "8.51148270", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.02125.pdf"], "doi": []}, {"id": "0910a4c470a410fac446f4026f7c8ef512ae7427", "title": "Hierarchical Question-Image Co-Attention for Visual Question Answering", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.00061.pdf"], "doi": []}, {"id": "431140620ecf6cbb7c4118a65f7f2b8f48089647", "title": "Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.08075.pdf"], "doi": []}, {"id": "8481d4160bf5a9c760b5c4de60c82f102492317b", "title": "Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02985.pdf"], "doi": []}, {"id": "8b5b8db6a2a2880c14894140ea70ceb5f96c3b9b", "title": "Learning a Text-Video Embedding from Incomplete and Heterogeneous Data", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02516.pdf"], "doi": []}, {"id": "0c2875bb47db3698dbbb3304aca47066978897a4", "title": "Recurrent Models for Situation Recognition", "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": "2017", "pdf": ["https://arxiv.org/pdf/1703.06233.pdf"], "doi": []}, {"id": "1eeca84f33079c6d7a95daf8994370b2d7a93443", "title": "Fingertip Detection and Tracking for Recognition of Air-Writing in Videos", "addresses": [{"name": "Indian Institute of Technology Bhubaneswar", "source_name": "Indian Institute of Technology Bhubaneswar, Bhubaneswar, India", "street_adddress": "Argul - Jatni Rd, Kansapada, Odisha 752050, India", "lat": "20.14389950", "lng": "85.67620330", "type": "edu", "country": "India"}, {"name": "Indian Institute of Technology Roorkee", "source_name": "Indian Institute of Technology, Roorkee", "street_adddress": "Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India", "lat": "29.86624610", "lng": "77.89587081", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03016.pdf"], "doi": []}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "84036eb97d011ed2d7c9e4eb14fa346b5347c0ad", "title": "Revisiting Pre-training: An Efficient Training Method for Image Classification", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09347.pdf"], "doi": []}, {"id": "2b0134725e7400f2211207fbe9bfb402b9fcacf3", "title": "Deep Attribute-preserving Metric Learning for Natural Language Object Retrieval", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123439"]}, {"id": "e959a426d02dd014c1346131ac38ed50114c17b7", "title": "A Focused Dynamic Attention Model for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01485.pdf"], "doi": []}, {"id": "5f94e354faeba1d330088b926d1f7886067bc93f", "title": "RefineNet : MultiPath Refinement Networks with Identity Mappings for High-Resolution Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5f94/e354faeba1d330088b926d1f7886067bc93f.pdf"], "doi": []}, {"id": "d42142285c46207a16bd4294e437d504e419a9b7", "title": "Varying image description tasks : spoken versus written descriptions", "addresses": [{"name": "Tilburg University", "source_name": "Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands", "street_adddress": "Warandelaan 2, 5037 AB Tilburg, Netherlands", "lat": "51.56314060", "lng": "5.04197360", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d421/42285c46207a16bd4294e437d504e419a9b7.pdf"], "doi": []}, {"id": "ccd99008d942b890cecd308a31ba61240eac9e54", "title": "Learning to Segment Every Thing", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.10370.pdf"], "doi": []}, {"id": "91c184e7fb0c7cce5319b8db85c1488b3861976f", "title": "Visual Question Answer Diversity", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b357/d44a34cc0f692b09a789802f5a905e12a726.pdf"], "doi": []}, {"id": "31c197a0e30f1aeb1414634968d1649e74cd8d0f", "title": "Deep correlation for matching images and text", "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"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_012.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_012_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_012_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Yan_Deep_Correlation_for_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298966", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298966", "http://doi.org/10.1109/CVPR.2015.7298966"]}, {"id": "5b8b27d1339d788eb3e0e96888c3633a7b92dc1e", "title": "Hierarchical Image Segmentation Ensemble for Objectness in RGB-D Images", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8116651"]}, {"id": "da437db062e751d49528914971ecdc868b557648", "title": "Improved Image Captioning via Policy Gradient optimization of SPIDEr", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00370.pdf"], "doi": []}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "b1db174463b0bbc54a61fcc83acfb89ad3e3d18f", "title": "Loss Functions for Multiset Prediction", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05246.pdf"], "doi": []}, {"id": "2ebadff3e2a573c947d49aba987e7917a9285ce5", "title": "Investigating the feature collection for semantic segmentation via single skip connection", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.08192.pdf"], "doi": []}, {"id": "f6ce7e947f1cfe75abda61f018c3ca7e38fceb20", "title": "NLE@MediaEval'17: Combining Cross-Media Similarity and Embeddings for Retrieving Diverse Social Images", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c352/159a5a280e2f7df34d9e8e1444c789e5b912.pdf"], "doi": []}, {"id": "bb6548b43c737dca642298c46ec4648a403e1b11", "title": "A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569822", "http://doi.org/10.1109/ITSC.2018.8569822"]}, {"id": "256623ff025f36d343588bcd0b966c1fd26afcf8", "title": "Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10860.pdf"], "doi": []}, {"id": "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "title": "Zero-Shot Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07113.pdf"], "doi": []}, {"id": "a3be1951ddb2fa2682385c7f22c2904f5c22a66d", "title": "Traffic-Sign Detection and Classification in the Wild", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Lehigh University", "source_name": "Lehigh University", "street_adddress": "Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA", "lat": "40.60680280", "lng": "-75.37824880", "type": "edu", "country": "United States"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://cg.cs.tsinghua.edu.cn/traffic-sign/0682.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Traffic-Sign_Detection_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780601", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.232", "http://doi.org/10.1109/CVPR.2016.232"]}, {"id": "012876a5f45da258675add1614ad7608a210141a", "title": "What are the Visual Features Underlying Human Versus Machine Vision?", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02704.pdf"], "doi": []}, {"id": "c5f6ed9efc222fe2773135ffb4e5c567d98e64ea", "title": "Image Captioning with Word Level Attention", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451558", "http://doi.org/10.1109/ICIP.2018.8451558"]}, {"id": "bb4650130c460f413e97b0328624a485bf094967", "title": "Dynamic Lexicon Generation for Natural Scene Images", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bb46/50130c460f413e97b0328624a485bf094967.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "43cb50f669a0d492256d11c6cc4128ba0ce79a3e", "title": "Per-Pixel Feedback for improving Semantic Segmentation", "addresses": [{"name": "Indian Institute of Technology Roorkee", "source_name": "Indian Institute of Technology, Roorkee", "street_adddress": "Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India", "lat": "29.86624610", "lng": "77.89587081", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.02861.pdf"], "doi": []}, {"id": "e7928bd33d09fd00a588617736b102063ca9d070", "title": "A Non-Technical Survey on Deep Convolutional Neural Network Architectures", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02129.pdf"], "doi": []}, {"id": "ab6c09ee2e466ceef2492f16472aeb76cd34009a", "title": "Data Augmentation for Cnn-Based People Detection in Aerial Images", "addresses": [{"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "Feng Chia University", "source_name": "Feng Chia University", "street_adddress": "\u9022\u7532\u5927\u5b78, 100, \u6587\u83ef\u8def, \u897f\u5e73\u91cc, \u897f\u5c6f\u5340, \u81fa\u4e2d\u5e02, 40724, \u81fa\u7063", "lat": "24.18005755", "lng": "120.64836072", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551501", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2018.8551501", "http://doi.org/10.1109/ICMEW.2018.8551501"]}, {"id": "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "title": "High performance and fast object detection in road environments", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310148", "http://doi.org/10.1109/IPTA.2017.8310148"]}, {"id": "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "title": "Semantic Image Segmentation via Deep Parsing Network", "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": "2015", "pdf": ["https://arxiv.org/pdf/1509.02634.pdf"], "doi": []}, {"id": "3fde03e7479f2fbff16f7849a2d038dbd29b1762", "title": "SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.01771.pdf"], "doi": []}, {"id": "2fa45a5b0421578a9a0d5124678dafc689e2bf82", "title": "Fake Sentence Detection as a Training Task for Sentence Encoding", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03840.pdf"], "doi": []}, {"id": "059582bee125512b127296364e7700ebd9f80436", "title": "Action-driven 3D indoor scene evolution", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "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"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2980223"]}, {"id": "c580b0a8dc655a8831ddbb7954bb929b1f236ebc", "title": "Looking deeper and transferring attention for image captioning", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China", "source_name": "Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6228-6"]}, {"id": "537afabc561a2efa79a903f4859ca63e6592f340", "title": "Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06452.pdf"], "doi": []}, {"id": "ccd3dcbccae7d903608530bddf6381db8e723a7d", "title": "Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "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"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccd3/dcbccae7d903608530bddf6381db8e723a7d.pdf"], "doi": []}, {"id": "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "title": "Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird\u2019s \u2013Eye View", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Korea", "source_name": "Electronics and Telecommunications Research Institute, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539407", "http://doi.org/10.1109/ICTC.2018.8539407"]}, {"id": "52d9ad99874f6b76184ad9abe45e824a6568617b", "title": "Large-Scale Active Learning with Approximations of Expected Model Output Changes", "addresses": [{"name": "Friedrich Schiller University Jena", "source_name": "Computer Vision Group, Friedrich Schiller University Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/52d9/ad99874f6b76184ad9abe45e824a6568617b.pdf"], "doi": []}, {"id": "1eb4ea011a3122dc7ef3447e10c1dad5b69b0642", "title": "Contextual Visual Recognition from Images and Videos", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1eb4/ea011a3122dc7ef3447e10c1dad5b69b0642.pdf"], "doi": []}, {"id": "c5cfeac36fd9fc35de7752cd2c63939920eb1eb3", "title": "Dictionary-Guided Editing Networks for Paraphrase Generation", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08077.pdf"], "doi": []}, {"id": "72ff1a1dd7c24b51d40d2be7f337b9075bbb8d58", "title": "Where and Who? Automatic Semantic-Aware Person Composition", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01021.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "University of Nottingham Ningbo China", "source_name": "University of Nottingham Ningbo China", "street_adddress": "199 Taikang E Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.80344900", "lng": "121.56160900", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "3244699e06b145ffa65d0fbddb2ce6e5da889418", "title": "Do You See What I Mean? Visual Resolution of Linguistic Ambiguities", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1603.08079.pdf"], "doi": []}, {"id": "9e64582b644481a734b018304a22b536886ed024", "title": "ALFA: Agglomerative Late Fusion Algorithm for Object Detection", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Kazan Federal University", "source_name": "Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Russia", "street_adddress": "Kremlyovskaya St, 18, Kazan, Respublika Tatarstan, Russia, 420008", "lat": "55.79044700", "lng": "49.12143490", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545182", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545182", "http://doi.org/10.1109/ICPR.2018.8545182"]}, {"id": "c85340a0d428ff0b47f1a4d92fc92157cb7664f0", "title": "Multi-Label Music Genre Classification from Audio, Text and Images Using Deep Features", "addresses": [{"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04916.pdf"], "doi": []}, {"id": "511fad07b943f088e487ea09ffc6c89114bb3c3e", "title": "Towards an Integrated Method of Detection and Description for Face Authentication System", "addresses": [{"name": "University of Ulsan", "source_name": "University of Ulsan, Korea", "street_adddress": "93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea", "lat": "35.54374110", "lng": "129.25628430", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8430774", "http://doi.org/10.1109/HSI.2018.8430774"]}, {"id": "6bd1f2782d6c8c3066d4e7d7e3afb995d79fa3dd", "title": "Deep Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Imagery", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6bd1/f2782d6c8c3066d4e7d7e3afb995d79fa3dd.pdf"], "doi": []}, {"id": "d09a3ec68311af4ebd3cbf7ed906aadffa94a464", "title": "Pedestrian Detection by Feature Selected Self-Similarity Features", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Sichuan Open University", "source_name": "Engineering and Technology College, Sichuan Open University, Chengdu, China", "street_adddress": "\u4e00 Baiye Rd, Pixian, Chengdu Shi, Sichuan Sheng, China", "lat": "30.72886200", "lng": "103.96638100", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286891", "http://doi.org/10.1109/ACCESS.2018.2803160"]}, {"id": "e096003fc0dad2a09334044ebcc01601fdc0afd6", "title": "Subitizing with Variational Autoencoders", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00257.pdf"], "doi": []}, {"id": "43c5be1f64e0135fb3d6e43a9c33caaaa58f7213", "title": "The Emotional Impact of Audio-Visual Stimuli", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/43c5/be1f64e0135fb3d6e43a9c33caaaa58f7213.pdf"], "doi": []}, {"id": "80fc9efde5bb28550d17363d882fd5bc6d805c26", "title": "Question Type Guided Attention in Visual Question Answering", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02088.pdf"], "doi": []}, {"id": "4a9d906935c9de019c61aedc10b77ee10e3aec63", "title": "Cross Modal Distillation for Supervision Transfer", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.00448.pdf"], "doi": []}, {"id": "350af77e01e78e8e3534f42b80b5dd35a602e73c", "title": "Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning", "addresses": [{"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"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03476.pdf"], "doi": []}, {"id": "db0a4af734dab1854c2e8dfe499fe0e353226e45", "title": "Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object 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": "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": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/db0a/4af734dab1854c2e8dfe499fe0e353226e45.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "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/1611.05431.pdf"], "doi": []}, {"id": "6759fd391e3f8a1aea7673d617d3e1b04d069804", "title": "Pose Flow: Efficient Online Pose Tracking", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00977.pdf"], "doi": []}, {"id": "fa93e027e795e98405dc72f123aadebafc5d80d8", "title": "Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00287.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "4443d51f54a9df679efc5ae65115f60f8e58a1a0", "title": "Spott: On-the-Spot e-Commerce for Television Using Deep Learning-Based Video Analysis Techniques", "addresses": [{"name": "Ghent University - imec - MICT", "source_name": "Ghent University - imec - MICT, Korte Meer, Ghent", "street_adddress": "Miriam Makebaplein 1, 9000 Gent, Belgium", "lat": "51.04893030", "lng": "3.72886530", "type": "edu", "country": "Belgium"}, {"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3092834"]}, {"id": "a8fd9be2f7775b123f62094eadd59d18bbbef027", "title": "Peephole: Predicting Network Performance Before Training", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "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": "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/1712.03351.pdf"], "doi": []}, {"id": "812e11fc86e5d183337257978e5a0f26b5668218", "title": "Evaluating ResNeXt Model Architecture for Image Classification", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08700.pdf"], "doi": []}, {"id": "a71b99357b0952858f98867ed0cbc87738899e1a", "title": "ScratchDet : Training Single-Shot Object Detectors from Scratch", "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": "2018", "pdf": ["https://pdfs.semanticscholar.org/a71b/99357b0952858f98867ed0cbc87738899e1a.pdf"], "doi": []}, {"id": "faa3b7034b89c9ab7ca5360a14311f2fd36ef7b9", "title": "AutoFocus: Efficient Multi-Scale Inference", "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": "2018", "pdf": ["https://arxiv.org/pdf/1812.01600.pdf"], "doi": []}, {"id": "044e0d86e2db70d4c0b767bf0994913e90e105e3", "title": "Answer-Type Prediction for Visual Question Answering", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kafle_Answer-Type_Prediction_for_CVPR_2016_paper.pdf", "http://www.chriskanan.com/wp-content/uploads/Kafle2016.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kafle_Answer-Type_Prediction_for_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780907", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.538", "http://doi.org/10.1109/CVPR.2016.538", "http://scholarworks.rit.edu/cgi/viewcontent.cgi?article=1919&context=other"]}, {"id": "d5873c4f169227ab002366db3b55d1fede9f473f", "title": "Multi-modal deep feature learning for RGB-D object detection", "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"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://mcg.nju.edu.cn/publication/2017/xiangyang-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.07.026"]}, {"id": "a89e1fc2681a9a399cc5008ea34b5ec3fe7ca845", "title": "Improving Fast Segmentation With Teacher-Student Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08476.pdf"], "doi": []}, {"id": "55af092ce75ade8a26d2afe97d57de2191d44b5f", "title": "Unsupervised Ensemble Regression", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02965.pdf"], "doi": []}, {"id": "5f94969b9491db552ffebc5911a45def99026afe", "title": "Multimodal Learning and Reasoning for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5f94/969b9491db552ffebc5911a45def99026afe.pdf"], "doi": []}, {"id": "91a972eadf78f44bdc03cc5ebe27899091bc94e1", "title": "AutoMarkov DNNs for object classification", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900168", "http://doi.org/10.1109/ICPR.2016.7900168"]}, {"id": "55d1342900e0abc59495afd44cde0a0052367b42", "title": "Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection", "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/1808.01452.pdf"], "doi": []}, {"id": "267bd60e442d87c44eaae3290610138e63d663ab", "title": "PoseTrack: Joint Multi-person Pose Estimation and Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07727.pdf"], "doi": []}, {"id": "6583d293734d56c9dd2a34ffa5887c6c323aacf5", "title": "Integrating Local Material Recognition with Large-Scale Perceptual Attribute Discovery", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01345.pdf"], "doi": []}, {"id": "bfce448a3409d87ba281de53ed696b09119f2ba9", "title": "Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01281.pdf"], "doi": []}, {"id": "66c6aebf10410a11623e32e23295213dfd7c557f", "title": "Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}, {"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593993"]}, {"id": "267c8798a5c602dae05908b63f031dbdb81fc42b", "title": "Amodal Instance Segmentation", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.08202.pdf"], "doi": []}, {"id": "c1d1b1197667facd360196059796ab8cb7b46e96", "title": "PolyMapper: Extracting City Maps using Polygons", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01497.pdf"], "doi": []}, {"id": "a0a49f50d9b76ad4ba7ce5acd14a3d4b31a520d6", "title": "HiDDeN: Hiding Data With Deep Networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09937.pdf"], "doi": []}, {"id": "333f083671da1010cbb080c6ce607ed87c19d73d", "title": "Multiple Instance Learning Convolutional Neural Networks for object recognition", "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 Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.03155.pdf"], "doi": []}, {"id": "a2c97ced4981a4505a6aa7f26e1c499df98f525d", "title": "Shape and Pose Estimation for Closely Interacting Persons Using Multi-view Images", "addresses": [{"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}, {"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": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://www.yangangwang.com/papers/LI-SPE-2018-08.pdf"], "doi": ["http://doi.org/10.1111/cgf.13574"]}, {"id": "21819624b83b40586afce41c3c9ae7abf6c9a2ab", "title": "A vision-grounded dataset for predicting typical locations for verbs", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2181/9624b83b40586afce41c3c9ae7abf6c9a2ab.pdf"], "doi": []}, {"id": "744089e18ef246785cdec2875d2b3872ef1d71b6", "title": "Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.06370.pdf"], "doi": []}, {"id": "ff772950f66ac6a57f4201ce1f02f0013ccdc1bb", "title": "Receptive Field Block Net for Accurate and Fast Object Detection", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07767.pdf"], "doi": []}, {"id": "658c802890c7133e2ade778b5d88b68bcd0dca9c", "title": "Learning to Segment via Cut-and-Paste", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06414.pdf"], "doi": []}, {"id": "606cfdcc43203351dbb944a3bb3719695e557e37", "title": "Ex Paucis Plura : Learning Affordance Segmentation from Very Few Examples", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/606c/fdcc43203351dbb944a3bb3719695e557e37.pdf"], "doi": []}, {"id": "1bd9db88bdab930f0dd380942b65c1449383166b", "title": "Robot Classification of Human Interruptibility and a Study of Its Effects", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3277902"]}, {"id": "83e5e6fc0f086017b3e099ec063df94f47427d2c", "title": "Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech", "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/1805.12589.pdf"], "doi": []}, {"id": "39836fbbcd2a664edb31119e88870c38b83df352", "title": "Adaptively Attending to Visual Attributes and Linguistic Knowledge for Captioning", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123391"]}, {"id": "c72e6992f44ce75a40f44be4365dc4f264735cfb", "title": "Story Understanding in Video 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/1807.11122.pdf"], "doi": []}, {"id": "25dba68e4db0ce361032126b91f734f9252cae7c", "title": "DeepSetNet: Predicting Sets with Deep Neural Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08998.pdf"], "doi": []}, {"id": "3a0f23dcb731762f9cc968d63385183b301eef89", "title": "Towards Segmenting Everything That Moves", "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": "2019", "pdf": ["https://arxiv.org/pdf/1902.03715.pdf"], "doi": []}, {"id": "8bce31108f598986558e9afb1061eb988ea4f3be", "title": "Automated Image Annotation based on YOLOv3", "addresses": [{"name": "Vilnius Gediminas Technical University", "source_name": "Vilnius Gediminas Technical University, Naugarduko g. 41-413, Vilnius LT-03227, Lithuania", "street_adddress": "Naugarduko g. 41, Vilnius 03227, Lithuania", "lat": "54.67377770", "lng": "25.26622250", "type": "edu", "country": "Lithuania"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8592167"]}, {"id": "fdbe50ca6741ddad66fb289960624627c6869cfc", "title": "Weakly Semi-Supervised Deep Learning for Multi-Label Image Annotation", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"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": "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"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7317747"]}, {"id": "1855818c492d5f42dbe14814e4dd9b5733d54790", "title": "Densely Connected Discriminative Correlation Filters for Visual Tracking", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Auckland University of Technology", "source_name": "Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand", "street_adddress": "31 Symonds St, Auckland, 1010, New Zealand", "lat": "-36.85444260", "lng": "174.76761040", "type": "edu", "country": "New Zealand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359334"]}, {"id": "f857cdf601379064bde3d4738f40aed30e266dbf", "title": "Training Very Deep CNNs for General Non-Blind Deconvolution", "addresses": [{"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"}, {"name": "Union Visual Innovation Technology Co., Ltd., Shenzhen, China", "source_name": "Union Visual Innovation Technology Co., Ltd., Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8315039"]}, {"id": "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "title": "Comparison of Visual Datasets for Machine Learning", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://rvc.eng.miami.edu/Paper/2017/IRI17_Gauen.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102956", "http://doi.ieeecomputersociety.org/10.1109/IRI.2017.59", "http://doi.org/10.1109/IRI.2017.59", "http://ecommons.luc.edu/cgi/viewcontent.cgi?article=1148&context=cs_facpubs"]}, {"id": "8c4c723a74fe479c2b8af7d911817377dd6d85c9", "title": "Understanding Neural Networks Through Deep Visualization", "addresses": [{"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": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06579.pdf"], "doi": []}, {"id": "e0c3c1b9744a695cfeab11ceb23069c38844932c", "title": "Non-parametric human segmentation using support vector machine", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430551"]}, {"id": "fe0edc34d9bdf51c1544a3f70e83917e5d917681", "title": "An End-to-End Quadrilateral Regression Network for Comic Panel Extraction", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240555"]}, {"id": "e431de776590f52a5ae2be2d71900136c91b7136", "title": "Towards a Robust Interactive and Learning Social Robot", "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": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e431/de776590f52a5ae2be2d71900136c91b7136.pdf"], "doi": []}, {"id": "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "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": [], "doi": ["http://doi.org/10.1007/978-3-030-01228-1"]}, {"id": "62a6220c8cb5b74e958870e52affd9e7542216fc", "title": "Street object detection / tracking for AI city traffic analysis", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397669"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "164f3b9740d9ceb14658237fddede0f86b5e0c47", "title": "Deep Category-Aware Semantic Edge 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": "", "pdf": ["https://pdfs.semanticscholar.org/1b61/41d3fbe8b97fd414ec931a47aa1d019347d9.pdf"], "doi": []}, {"id": "30f464c09779c6210397204901d025c0def1fe10", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "64a5709d41f4c2ef0383cee9932e89bb58085588", "title": "Surgeon Technical Skill Assessment using Computer Vision based Analysis", "addresses": [{"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://pdfs.semanticscholar.org/64a5/709d41f4c2ef0383cee9932e89bb58085588.pdf"], "doi": []}, {"id": "0c65245bff0004961a5173709400479addbb9ee1", "title": "SemanticFusion: Dense 3D semantic mapping with convolutional neural networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989538"]}, {"id": "24e680c5e7f59b72984ebc344dfba0f9573fb38c", "title": "On the difficulty of a distributional semantics of spoken language", "addresses": [{"name": "Tilburg University", "source_name": "Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands", "street_adddress": "Warandelaan 2, 5037 AB Tilburg, Netherlands", "lat": "51.56314060", "lng": "5.04197360", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08869.pdf"], "doi": []}, {"id": "2e84deb2fbc518c0ed0ba4158fc063060e5ac1b3", "title": "Real-time Progressive 3D Semantic Segmentation for Indoor Scene", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}, {"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00257.pdf"], "doi": []}, {"id": "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "title": "Recognition in Terra Incognita", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04975.pdf"], "doi": []}, {"id": "84a3478cf884b0cbba480c7c36dab565e778094b", "title": "Learning to detect chest radiographs containing lung nodules using visual attention networks", "addresses": [{"name": "King\u2019s College London", "source_name": "Institute of Psychiatry, King\u2019s College London, London, UK", "street_adddress": "16 De Crespigny Park, Camberwell, London SE5 8AF, UK", "lat": "51.47022750", "lng": "-0.09014280", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1712.00996.pdf"], "doi": []}, {"id": "fbace36d9161fbd062eefa0c005362bb210c7097", "title": "VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06288.pdf"], "doi": []}, {"id": "d012f6d7fd45051adaff8da4ce0860de9f81d445", "title": "A Deep Multi-task Learning Approach to Skin Lesion Classification", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1812.03527.pdf"], "doi": []}, {"id": "fc027fccb19512a439fc17181c34ee1c3aad51b5", "title": "Joint Multi-person Pose Estimation and Semantic Part Segmentation", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03383.pdf"], "doi": []}, {"id": "50d6dcec7f1fcbde647237d43950fa5ec59d6984", "title": "Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02110.pdf"], "doi": []}, {"id": "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "title": "2 D-Driven 3 D Object Detection in RGB-D Images", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/225c/318f3143b9b9d6c0f7a87672bd1d9d2901f4.pdf"], "doi": []}, {"id": "37e1fc37a3ee90f24d85ad6fd3e5c51d3f5ab4fd", "title": "Attentive Explanations: Justifying Decisions and Pointing to the Evidence", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.04757.pdf"], "doi": []}, {"id": "475e16577be1bfc0dd1f74f67bb651abd6d63524", "title": "DAiSEE: Towards User Engagement Recognition in the Wild", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01885.pdf"], "doi": []}, {"id": "503c16d9cb1560f13a7d6baedf8c9f889b22459d", "title": "Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02611.pdf"], "doi": []}, {"id": "18c57ddc9c0164ee792661f43a5578f7a00d0330", "title": "ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases", "addresses": [{"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02315.pdf"], "doi": []}, {"id": "f632790471b2bed7ba7c28b12cda9360ec586a63", "title": "Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02531.pdf"], "doi": []}, {"id": "197c406b95340dfcdef542db532e0f7a967b9cda", "title": "Softer-NMS: Rethinking Bounding Box Regression for Accurate Object 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": "2018", "pdf": ["https://arxiv.org/pdf/1809.08545.pdf"], "doi": []}, {"id": "0f54eacd2d9ad031a0b55166399e2f1d0f70b4b5", "title": "Joint Learning of Set Cardinality and State Distribution", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.04093.pdf"], "doi": []}, {"id": "1e54025a6b399bfc210a52a8c3314e8f570c2204", "title": "DenseCap: Fully Convolutional Localization Networks for Dense Captioning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07571.pdf"], "doi": []}, {"id": "26203d84466488b168745334935f7ca82294e3e4", "title": "Visual Reasoning by Progressive Module Networks", "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"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02453.pdf"], "doi": []}, {"id": "8b059a9851c23067afe247b59e54f3167caa9b34", "title": "Modality-Specific Cross-Modal Similarity Measurement With Recurrent Attention Network", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8401908"]}, {"id": "3796fe0e5dd10b01fc9fb486d09e61b28eedf915", "title": "Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.01034.pdf"], "doi": []}, {"id": "11a8cc3fa18ab4f7158447cc1fc8800489e82f9c", "title": "AttResNet: Attention-based ResNet for Image Captioning", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3302464"]}, {"id": "2e78e804ddfe86f112719d4a237c882f930a9d3b", "title": "Development of Real-time ADAS Object Detector for Deployment on CPU", "addresses": [{"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05894.pdf"], "doi": []}, {"id": "396aacab076a3607429f58ce442d5d57b5aaa794", "title": "Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03240.pdf"], "doi": []}, {"id": "6fe1439e40429c7cd7029ecf83ca6f36fd0c8040", "title": "Deep Matching and Validation Network: An End-to-End Solution to Constrained Image Splicing Localization and Detection", "addresses": [{"name": "Information Sciences Institute, Marina Del Rey, CA", "source_name": "Information Sciences Institute, Marina Del Rey, CA, USA", "street_adddress": "4676 Admiralty Way #1001, Marina Del Rey, CA 90292, USA", "lat": "33.98007070", "lng": "-118.44003850", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123411"]}, {"id": "5a40efdd3a50ab2e3bce106f92d921713ef068b3", "title": "Learning Saliency Prediction From Sparse Fixation Pixel Map", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00644.pdf"], "doi": []}, {"id": "745a913b6a3dd28f3d1c583e80497d6d627a9ca4", "title": "OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07102.pdf"], "doi": []}, {"id": "a43280a668f12cffdb7b4c9917984aa55b12759b", "title": "Zoom Out-and-In Network with Recursive Training for Object Proposal", "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/1702.05711.pdf"], "doi": []}, {"id": "aa7914646c6a4bbad0727cb84ab9b05e5b381af4", "title": "Framework for Evaluating Vision-based Autonomous Steering Control Model", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569717"]}, {"id": "3ab93fe26a46f8bc0999e68af71a0907a63a5e65", "title": "ESTHER: Extremely Simple Image Translation Through Self-Regularization", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3ab9/3fe26a46f8bc0999e68af71a0907a63a5e65.pdf"], "doi": []}, {"id": "1d82e7736268917cc3d87a2ee0896b03e02a5ff6", "title": "The Promise of Premise: Harnessing Question Premises in Visual Question Answering", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00601.pdf"], "doi": []}, {"id": "58d16e23e1192be4acaf6a29c1f5995817146554", "title": "Bringing back simplicity and lightliness into neural image captioning", "addresses": [{"name": "University of Mons", "source_name": "Faculty of Engineering, University of Mons, Belgium", "street_adddress": "Place du Parc 20, 7000 Mons, Belgium", "lat": "50.45877140", "lng": "3.95216520", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06245.pdf"], "doi": []}, {"id": "7771807cd05f78a4591f2d0b094ddd3e0bd5339a", "title": "Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors", "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": "2017", "pdf": ["https://arxiv.org/pdf/1707.06399.pdf"], "doi": []}, {"id": "b2c60061ad32e28eb1e20aff42e062c9160786be", "title": "Diverse and Controllable Image Captioning with Part-of-Speech Guidance", "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/1805.12589.pdf"], "doi": []}, {"id": "20a91b0e7c2598d327169517cdeaafc433caa700", "title": "Inshore Ship Detection Based on Mask R-CNN", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8519123"]}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "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": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "cb4fc4d49783f2049c48a062169f04eb744443ec", "title": "Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}, {"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.08474.pdf"], "doi": []}, {"id": "38262d92b09564aba747beb7150b92c92998170c", "title": "A Visual Attention Grounding Neural Model for Multimodal Machine Translation", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08266.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "dataset": {"key": "coco", "name_short": "COCO", "name_display": "COCO Dataset", "name_full": "Microsoft COCO: Common Objects in Context", "purpose": "object and scene recognition", "comment": "First published in 2014, revised in 2015: dataset split in two", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://cocodataset.org/", "verify_do": "Y", "verify_done": "", "cooperative": "N", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "sources": "www, google, bing, flickr", "source_cat": "", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2014", "ongoing": "", "images": "328,000 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "tags": "ped_detect, obj", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "key": "coco", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "address": "", "name": "COCO", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "title": "Asking for Help with the Right Question by Predicting Human Visual Performance", "addresses": [{"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebbc/4569b767323c5bf6917c0efdce5d172e721d.pdf"], "doi": []}, {"id": "133f1f2679892d408420d8092283539010723359", "title": "What Makes for Effective Detection Proposals?", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1502.05082.pdf"], "doi": []}, {"id": "e0ef2d1e9bcde8da814bf510a31ce3dc90919ed8", "title": "SHPD: Surveillance Human Pose Dataset and Performance Evaluation for Coarse-Grained Pose Estimation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451116", "http://doi.org/10.1109/ICIP.2018.8451116"]}, {"id": "55761bdf5cbbff5fbede8ee9d0573d1561a9254b", "title": "The Impact of Visual Saliency Prediction in Image Classification", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}, {"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5576/1bdf5cbbff5fbede8ee9d0573d1561a9254b.pdf"], "doi": []}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "12a91c9d4a55fc93f15f4acef078c8908af3c9b9", "title": "Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance 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": "2017", "pdf": ["https://arxiv.org/pdf/1708.01642.pdf"], "doi": []}, {"id": "c32b66a9badc57e416cf15287c9c8861b264805b", "title": "Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models.", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01625.pdf"], "doi": []}, {"id": "02a4462e6c63007dda36ca5305f6b57d03f1316f", "title": "The Real-Time Detection of Traffic Participants Using YOLO Algorithm", "addresses": [{"name": "RT-RK, Institute for Computer Based Systems, Novi Sad, Serbia", "source_name": "RT-RK, Institute for Computer Based Systems, Novi Sad, Serbia", "street_adddress": "Narodnog fronta 23A, Novi Sad 21000, Serbia", "lat": "45.23963230", "lng": "19.83640040", "type": "edu", "country": "Serbia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611986"]}, {"id": "0754d3d8fbae668880a3eb91b2bce89543ea467e", "title": "Natural Language Driven Image Edits using a Semantic Image Manipulation Language (SIMPL)", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0754/d3d8fbae668880a3eb91b2bce89543ea467e.pdf"], "doi": []}, {"id": "47067114c681e93322a9152fe7ceb7a9178bb32b", "title": "Monitoring Scene Understanders with Conceptual Primitive Decomposition and Commonsense Knowledge", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4706/7114c681e93322a9152fe7ceb7a9178bb32b.pdf"], "doi": []}, {"id": "fbaceba60619d9f76f7acf6e639669cd6150049e", "title": "Automatic Semantic Content Removal by Learning to Neglect.", "addresses": [{"name": "University of California, Santa Cruz", "source_name": "University of California, Santa Cruz, Santa Cruz", "street_adddress": "1156 High St, Santa Cruz, CA 95064, USA", "lat": "36.99158470", "lng": "-122.05827710", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07696.pdf"], "doi": []}, {"id": "b5cd9e5d81d14868f1a86ca4f3fab079f63a366d", "title": "Tag-based video retrieval by embedding semantic content in a continuous word space", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://ivi.fnwi.uva.nl/isis/publications/2016/AgharwalWCACV2016/AgharwalWCACV2016.pdf", "https://pure.uva.nl/ws/files/2779402/175913_AgharwalWCACV2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477706", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477706", "http://doi.org/10.1109/WACV.2016.7477706"]}, {"id": "6e3e5f5fac0bfe1d54d6d414a1a8c2d8de586eee", "title": "Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation.", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05206.pdf"], "doi": []}, {"id": "c486eeced06b1db66b7deb58496d71074b88fb86", "title": "ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch", "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": "2018", "pdf": ["https://arxiv.org/pdf/1810.08425.pdf"], "doi": []}, {"id": "a3c93737a4497350768b0dda08dbc0826670dc5b", "title": "Diagnosing State-Of-The-Art Object Proposal Methods", "addresses": [{"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.04512.pdf"], "doi": []}, {"id": "bc2856e70ad3c8fe439dec6cc6a2e03d6e090fb7", "title": "What value high level concepts in vision to language problems ?", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ffcc/bb8218b3af88fb7ea9dcd89557cd0156fba7.pdf"], "doi": []}, {"id": "365117e2e47b83ec70014058de13d167619094ad", "title": "Adaptive Object Detection Using Adjacency and Zoom Prediction", "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"}, {"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": "2016", "pdf": ["https://arxiv.org/pdf/1512.07711.pdf"], "doi": []}, {"id": "ad5950257e053b08657ea298f7b89ba358b8bfcf", "title": "Textually Enriched Neural Module Networks for Visual Question Answering", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08697.pdf"], "doi": []}, {"id": "01efec88d36070dc3bc49f341a77476f74d373bc", "title": "Generation and Comprehension of Unambiguous Object Descriptions", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02283.pdf"], "doi": []}, {"id": "2c3e7392b865b228f5d56ab025cd3123554be5e1", "title": "Linguistic Unit Discovery from Multi-Modal Inputs in Unwritten Languages: Summary of the \u201cSpeaking Rosetta\u201d JSALT 2017 Workshop", "addresses": [{"name": "Radboud University", "source_name": "Radboud University, Nijmegen, Netherlands", "street_adddress": "Houtlaan 4, 6525 XZ Nijmegen, Netherlands", "lat": "51.81670100", "lng": "5.86527200", "type": "edu", "country": "Netherlands"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05092.pdf"], "doi": []}, {"id": "8b6493a65285fb72252221e7ef8ad1091bd96b32", "title": "TRAFFIC ANALYSIS USING VISUAL OBJECT DETECTION AND TRACKING", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"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://pdfs.semanticscholar.org/8b64/93a65285fb72252221e7ef8ad1091bd96b32.pdf"], "doi": []}, {"id": "7ce9e79cb63e33faa3be0c534664076e420dd7a1", "title": "Semantic Segmentation of Complex Road Environments from Aerial Images Using Convolutional Neural Networks", "addresses": [{"name": "US Army Engineer Research and Development Center, Vicksburg, MS", "source_name": "Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States", "street_adddress": "3909 Halls Ferry Rd, Vicksburg, MS 39180, USA", "lat": "32.30127170", "lng": "-90.87140670", "type": "mil", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622284", "http://doi.org/10.1109/BigData.2018.8622284"]}, {"id": "2281d8282dc6315eaa5c31821310c1a349ea18b0", "title": "Fast Efficient Object Detection Using Selective Attention", "addresses": [{"name": "RMIT University", "source_name": "RMIT University", "street_adddress": "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "lat": "-37.80874650", "lng": "144.96388750", "type": "edu", "country": "Australia"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"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/1811.07502.pdf"], "doi": []}, {"id": "7bfa04eb7ba2830a682a15206370abec49cffd2a", "title": "Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05040.pdf"], "doi": []}, {"id": "0871062654a6ddd18dba940009676aaa1230f879", "title": "Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04535.pdf"], "doi": []}, {"id": "ce142b327974580b297fb84c2c1c799f838bdda5", "title": "VADRA: Visual Adversarial Domain Randomization and Augmentation", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00491.pdf"], "doi": []}, {"id": "6b6afc9557dc0670bf2792bde4c4389ac52c707f", "title": "What Action Causes This? Towards Naive Physical Action-Effect Prediction", "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"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fa4f/7ec0d1a3e67c6170638a9502cbad81873b9c.pdf"], "doi": []}, {"id": "1536579229a334640735725e0b886f8d03aca1e8", "title": "Rank of Experts: Detection Network Ensemble", "addresses": [{"name": "Incheon National University", "source_name": "Incheon National University, Incheon, South Korea", "street_adddress": "119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea", "lat": "37.37505480", "lng": "126.63289980", "type": "edu", "country": "South Korea"}, {"name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "source_name": "Electronics and Telecommunications Research Institute, Daejeon, South Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00185.pdf"], "doi": []}, {"id": "19441b8be551e8134dd9eb33238309bc2de0a42f", "title": "Playing for Benchmarks", "addresses": [{"name": "TU Darmstadt", "source_name": "TU Darmstadt", "street_adddress": "Karolinenpl. 5, 64289 Darmstadt, Germany", "lat": "49.87482770", "lng": "8.65632810", "type": "edu", "country": "Germany"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07322.pdf"], "doi": []}, {"id": "597bca76d9c983f0b71ff1143d80ea91bf97cb25", "title": "Semi-automatic video object segmentation by advanced manipulation of segmentation hierarchies", "addresses": [{"name": "Disney Research Zurich", "source_name": "Disney Research Zurich", "street_adddress": "Stampfenbachstrasse 48, 8006 Z\u00fcrich, Switzerland", "lat": "47.38047690", "lng": "8.54299640", "type": "company", "country": "Switzerland"}], "year": "2015", "pdf": ["http://www.disneyresearch.com/wp-content/uploads/Semi-Automatic-Video-Object-Segmentation-by-Advanced-Manipulation-of-Segmentation-Hierarchies-Paper.pdf", "https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20150605225535/Semi-Automatic-Video-Object-Segmentation-by-Advanced-Manipulation-of-Segmentation-Hierarchies-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153600", "http://doi.org/10.1109/CBMI.2015.7153600"]}, {"id": "db7e48d2655521c1a89b579d8cb839a95d6e6a14", "title": "Boosted Attention: Leveraging Human Attention for Image Captioning", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/db7e/48d2655521c1a89b579d8cb839a95d6e6a14.pdf"], "doi": []}, {"id": "28bf62416b5b0f3ca87332b83c3944f515505f66", "title": "Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12348.pdf"], "doi": []}, {"id": "3081b725e1764ec754bee1fe5487000b7adf7936", "title": "Slum Segmentation and Change Detection : A Deep Learning Approach", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07896.pdf"], "doi": []}, {"id": "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "title": "Training Deep Networks with Structured Layers by Matrix Backpropagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.07838.pdf"], "doi": []}, {"id": "c32b09f20badd9ce04309d7c5ebea88336a3345a", "title": "Token-level and sequence-level loss smoothing for RNN language models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05062.pdf"], "doi": []}, {"id": "4cb2d5ea093d52a9dbb5141bde20cbea576efa24", "title": "A cascaded long short-term memory (LSTM) driven generic visual question answering (VQA)", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296600", "http://doi.org/10.1109/ICIP.2017.8296600"]}, {"id": "c45681fa9d9c36a6a196017ef283ac38904f91bb", "title": "Pixel-wise object tracking", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07377.pdf"], "doi": []}, {"id": "27e15e5ae496a228653b69195e7d62a758b73cfa", "title": "Adversarial Removal of Gender from Deep Image Representations", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08489.pdf"], "doi": []}, {"id": "eddd45f8b2febf3800db7642357731cb63116acc", "title": "On the Effects of Spam Filtering and Incremental Learning for Web-Supervised Visual Concept Classification", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover, Hannover, Germany", "source_name": "Leibniz Universit\u00e4t Hannover, Hannover, Germany", "street_adddress": "Welfengarten 1, 30167 Hannover, Germany", "lat": "52.38296410", "lng": "9.71969890", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912072"]}, {"id": "f2653257faa6d1b718a4cff004f4c7ad66d89c55", "title": "Advances in deep learning approaches for image tagging", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f265/3257faa6d1b718a4cff004f4c7ad66d89c55.pdf"], "doi": []}, {"id": "5b610d9492a940d3e64bbf0cea8de4622e07d8b4", "title": "Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06193.pdf"], "doi": []}, {"id": "0ab65b963f8b71e31bfec188056023147f75303e", "title": "SPNet: Superpixel Pyramid Network for Scene Parsing", "addresses": [{"name": "Beijing University of Technologyy", "source_name": "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "street_adddress": "Chaoyang, China, 100124", "lat": "39.87161100", "lng": "116.47952900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623025"]}, {"id": "98025d3d44e9379736adb1228919272ded9298ae", "title": "Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps", "addresses": [{"name": "Tokyo Institute of Technology", "source_name": "Tokyo Institute of Technology", "street_adddress": "\u6771\u4eac\u5de5\u696d\u5927\u5b66, \u539a\u6728\u8857\u9053, \u7dd1\u533a, \u753a\u7530\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 226-0026, \u65e5\u672c", "lat": "35.51675380", "lng": "139.48342251", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9802/5d3d44e9379736adb1228919272ded9298ae.pdf"], "doi": []}, {"id": "eea248baa16162da661fbb9255e2cfcd5b9f0c05", "title": "Bachelor Project Image Captioning with Convolutional Neural Networks", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eea2/48baa16162da661fbb9255e2cfcd5b9f0c05.pdf"], "doi": []}, {"id": "cc5d91b20c8769d1f040ff9a5166f76cc19d2d55", "title": "Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces", "addresses": [{"name": "CVIT, KCIS, IIIT Hyderabad, India", "source_name": "CVIT, KCIS, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.08631.pdf"], "doi": []}, {"id": "233b52f79d37363d924041e047c6b9d9609cbb17", "title": "Refining faster-RCNN for accurate object detection", "addresses": [{"name": "Kakao Corp.", "source_name": "Kakao corp., 242, Cheomdan-ro, Jeju-si, Jeju-do, Korea", "street_adddress": "242 Cheomdan-ro, Ara-dong, Cheju, Jeju-do, South Korea", "lat": "33.45073890", "lng": "126.57079340", "type": "company", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986913"]}, {"id": "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "title": "Zero-Shot Object Detection", "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"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04340.pdf"], "doi": []}, {"id": "2d541bf669dda499f86b4dd2ac4e263134a3cd4c", "title": "Pixel Objectness", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.05349.pdf"], "doi": []}, {"id": "b9dc8cc479cacda1f23b91df00eb03f88cc0c260", "title": "Event Specific Multimodal Pattern Mining for Knowledge Base Construction", "addresses": [{"name": "Columbia Univeristy, New York, NY, USA", "source_name": "Columbia Univeristy, New York, NY, USA", "street_adddress": "116th St & Broadway, New York, NY 10027, United States", "lat": "40.80753550", "lng": "-73.96257270", "type": "edu", "country": "United States"}, {"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2964287"]}, {"id": "9528e2e8c20517ab916f803c0371abb4f0ed488b", "title": "Shallow and Deep Convolutional Networks for Saliency Prediction", "addresses": [{"name": "Universitat Politecnica de Catalunya", "source_name": "Universitat Politcnica de Catalunya, EU, Spain", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}, {"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00845.pdf"], "doi": []}, {"id": "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "title": "Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10800.pdf"], "doi": []}, {"id": "98735e57075ed6e8ef9d98d7ca4895013492e35b", "title": "Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation", "addresses": [{"name": "Pennsylvania State University", "source_name": "Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.10307.pdf"], "doi": []}, {"id": "36679b7ea9eb8418410db7a6e2f15aeaf1b8e059", "title": "Weakly Supervised Vehicle Detection in Satellite Images via Multiple Instance Ranking", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546267", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546267", "http://doi.org/10.1109/ICPR.2018.8546267"]}, {"id": "0e0fbead3da9e16b03894b63efc6816fa3ef6d0e", "title": "Open-vocabulary Phrase Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07212.pdf"], "doi": []}, {"id": "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "title": "End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "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"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51f5/e7b847e65a4cd0634ed9efc6b19819742b70.pdf"], "doi": []}, {"id": "18f9a6045ba01cb079c4fa49a630d71bbd27cd92", "title": "A dataset of clinically generated visual questions and answers about radiology images", "addresses": [{"name": "Lister Hill National Center for Biomedical Communications", "source_name": "Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA", "street_adddress": "8600 Rockville Pike, Bethesda, MD 20894, USA", "lat": "38.99595080", "lng": "-77.09883230", "type": "gov", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/18f9/a6045ba01cb079c4fa49a630d71bbd27cd92.pdf"], "doi": []}, {"id": "1aac36122c07ecccfd59d912c22865801f096190", "title": "Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}, {"name": "University of Copenhagen", "source_name": "University of Copenhagen", "street_adddress": "K\u00f8benhavns Universitet, Krystalgade, K\u00f8dbyen, Vesterbro, K\u00f8benhavn, K\u00f8benhavns Kommune, Region Hovedstaden, 1165, Danmark", "lat": "55.68015020", "lng": "12.57232700", "type": "edu", "country": "Denmark"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03827.pdf"], "doi": []}, {"id": "4c7659079b3df5bc746f76b2b1685b0b539832d6", "title": "Domain Adaptive Faster R-CNN for Object Detection in the Wild", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03243.pdf"], "doi": []}, {"id": "3e16de062b9cdeecfcbda0de022f1fc4e741a2e6", "title": "Learning Visually-Grounded Semantics from Contrastive Adversarial Samples", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": ["https://arxiv.org/pdf/1806.10348.pdf"], "doi": []}, {"id": "838420cebfdad4e93221f8fe203c09155983141a", "title": "Subspace Alignment Based Domain Adaptation for RCNN Detector", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.05578.pdf"], "doi": []}, {"id": "80eab89ff1c5c2cfc1ea62e2088cfc9b62de8d35", "title": "Emergent Translation in Multi-Agent Communication", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06922.pdf"], "doi": []}, {"id": "d983ce0a7d249bb85d14a66a89225a7136cc783b", "title": "A Single-shot Object Detector with Feature Aggragation and Enhancement", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.02923.pdf"], "doi": []}, {"id": "e05b4f3757a3b33324e96f8b9b71e7d4eb5a1fa9", "title": "Controllable Top-down Feature Transformer", "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": "2017", "pdf": ["https://arxiv.org/pdf/1712.02400.pdf"], "doi": []}, {"id": "35498b80ee457e409c0962e03a6e170a917c83af", "title": "Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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": "2017", "pdf": ["https://arxiv.org/pdf/1703.05446.pdf"], "doi": []}, {"id": "ba7890a5e9e51bf6181cc3c03144796cb3e5e254", "title": "Query : \" A man in a red sweatshirt performing breakdance \"", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ba78/90a5e9e51bf6181cc3c03144796cb3e5e254.pdf"], "doi": []}, {"id": "24ff2797234e26bb2ffd4558eb4412df0625687e", "title": "Mind Your Language: Abuse and Offense Detection for Code-Switched Languages", "addresses": [{"name": "Adobe Systems", "source_name": "Adobe Systems", "street_adddress": "343 Preston St, Ottawa, ON K1S 1N4, Canada", "lat": "45.40242130", "lng": "-75.70955410", "type": "edu", "country": "South Korea"}, {"name": "IIIT, Delhi", "source_name": "IIIT, Delhi", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08652.pdf"], "doi": []}, {"id": "d31d4bb58f5dd67016e77352ac7600e2ba71e38f", "title": "Deep Learning Object Detection Methods for Ecological Camera Trap Data", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10842.pdf"], "doi": []}, {"id": "faf73a84c9ce13cdfc9014fa89ecde9927c8c84a", "title": "Meta Networks for Neural Style Transfer", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.04111.pdf"], "doi": []}, {"id": "0020784920bf7ff6cb51d0b6061b99fd77161c3e", "title": "Learning Instance-Aware Object Detection Using Determinantal Point Processes", "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/1805.10765.pdf"], "doi": []}, {"id": "d7ed61f57d26c192a75d088854d937d549efa37c", "title": "A Multi-Layer Approach to Superpixel-based Higher-order Conditional Random Field for Semantic Image Segmentation", "addresses": [{"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02032.pdf"], "doi": []}, {"id": "528d1ad4725277b25f17c951c7aa637f58da1c9e", "title": "Text and Object Detection on Billboards", "addresses": [{"name": "Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand", "source_name": "Faculty of Information Technology, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand", "street_adddress": "1 Thanon Chalong Krung, Lat Krabang, Khet Lat Krabang, Krung Thep Maha Nakhon 10520, Thailand", "lat": "13.73095530", "lng": "100.78117740", "type": "edu", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8534879", "http://doi.org/10.1109/iciteed.2018.8534879"]}, {"id": "0c5f9f5083b9fca4dcdbc4b122099ac1f630728b", "title": "Visual Semantic Role Labeling", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04474.pdf"], "doi": []}, {"id": "f4af49a1ead3c81cc5d023878cb67c5646dd8a04", "title": "Learning a Recurrent Visual Representation for Image Caption Generation", "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": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.5654.pdf"], "doi": []}, {"id": "73b5261948b9b1e998bc84edf061efd354dac479", "title": "Watching the TV Watchers", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3214291"]}, {"id": "9d27197ecc73ac0c3a664499c62975068251bf9c", "title": "Studying Object Naming with Online Photos and Caption", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "NICTA / Australian National University", "source_name": "NICTA / Australian National University, Canberra, Australia", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2814817"]}, {"id": "72d7c465ef199a9670b3da7a318b0227f5cc3229", "title": "Visual Referring Expression Recognition: What Do Systems Actually Learn?", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11818.pdf"], "doi": []}, {"id": "2c761495cf3dd320e229586f80f868be12360d4e", "title": "Revisiting Unreasonable Effectiveness of Data in Deep Learning Era", "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": "2017", "pdf": ["https://arxiv.org/pdf/1707.02968.pdf"], "doi": []}, {"id": "c0006a2268d299644e9f1b455601bcbe89ddc2b5", "title": "Semantic Video Segmentation by Gated Recurrent Flow Propagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.08871.pdf"], "doi": []}, {"id": "52a08919efb7a1d0f28eda82bacd9d495639a6b3", "title": "Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04794.pdf"], "doi": []}, {"id": "96fdc0131dc80ffa6d7b9c526e07f080414c54ec", "title": "1 Paying More A ention to Saliency : Image Captioning with Saliency and Context A ention", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}, {"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96fd/c0131dc80ffa6d7b9c526e07f080414c54ec.pdf"], "doi": []}, {"id": "59d0d7ccec2db66cad20cac5721ce54a8a058294", "title": "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.05877.pdf"], "doi": []}, {"id": "cb8f0d0e529e27c67f04e748266f084c07679755", "title": "Scene Image Synthesis from Natural Sentences Using Hierarchical Syntactic Analysis", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967193"]}, {"id": "a875c22ca30a99a013d728313420e418e398fafd", "title": "Strong-Weak Distribution Alignment for Adaptive Object Detection.", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04798.pdf"], "doi": []}, {"id": "eb7ddda1bfa709497af9d0b2010d61d659a1816f", "title": "Training CNNs from Synthetic Data for Part Handling in Industrial Environments", "addresses": [{"name": "BTU Cottbus-Senftenberg, Cottbus, Germany", "source_name": "BTU Cottbus-Senftenberg, Chair of Automation Technology, Cottbus, Germany", "street_adddress": "Platz der Deutschen Einheit 1, 03046 Cottbus, Germany", "lat": "51.76698700", "lng": "14.32695000", "type": "edu", "country": "Germany"}, {"name": "Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany", "source_name": "Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany", "street_adddress": "Stuttgarter Str. 90, 70736 Fellbach, Germany", "lat": "48.81313800", "lng": "9.26374900", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8560470", "http://doi.org/10.1109/COASE.2018.8560470"]}, {"id": "3f93ad8732ed2e92f09536ad744d1111cab93522", "title": "Weakly Supervised Attention Learning for Textual Phrases Grounding", "addresses": [{"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00545.pdf"], "doi": []}, {"id": "1c5b168c29d1c8b3dc753865c741b9f3c56d0555", "title": "Auto-Encoding Scene Graphs for Image Captioning", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02378.pdf"], "doi": []}, {"id": "20af3b2a011eabfdc3021a5e78995c5ce592575c", "title": "Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment", "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"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552556", "http://doi.ieeecomputersociety.org/10.1109/TBDATA.2016.2602231", "http://doi.org/10.1109/TBDATA.2016.2602231"]}, {"id": "193a69489230de1013dff9af1232e5379cc5282f", "title": "Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia", "source_name": "Integrated Management Coastal Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/193a/69489230de1013dff9af1232e5379cc5282f.pdf"], "doi": []}, {"id": "f9f01af981f8d25f0c96ea06d88be62dabb79256", "title": "Terahertz Image Detection with the Improved Faster Region-Based Convolutional Neural Network", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f9f0/1af981f8d25f0c96ea06d88be62dabb79256.pdf"], "doi": []}, {"id": "3b8a3b4ed02a15b2ba329727596b704889123a39", "title": "Deep affordance learning for single- and multiple-instance object detection", "addresses": [{"name": "Institute for Infocomm Research Agency for Science, Technology and Research (A\u2217STAR) 1 Fusionopolis Way, #21-01 Connexis (South Tower) Singapore 138632", "source_name": "Institute for Infocomm Research Agency for Science, Technology and Research (A\u2217STAR) 1 Fusionopolis Way, #21-01 Connexis (South Tower) Singapore 138632", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://oar.a-star.edu.sg/jspui/bitstream/123456789/2242/1/1570379510(2).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227883"]}, {"id": "ade2266f249f91767b0949ae600fe1048237e567", "title": "Maya Codical Glyph Segmentation: A Crowdsourcing Approach", "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": ["http://publications.idiap.ch/downloads/papers/2017/Can_IEEETMM_2017.pdf", "http://publications.idiap.ch/downloads/reports/2016/Can_Idiap-RR-01-2017.pdf", "http://publications.idiap.ch/downloads/reports/2017/Can_Idiap-RR-01-2017.pdf", "https://infoscience.epfl.ch/record/225945/files/Can_Idiap-RR-01-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8048535", "http://doi.org/10.1109/TMM.2017.2755985"]}, {"id": "989282f579fdca0ebdc890cf05cac88c29f9eb49", "title": "Benchmarking and Error Diagnosis in Multi-instance Pose Estimation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05388.pdf"], "doi": []}, {"id": "403537a81f9c295ab5770fd82abe4f7542be9200", "title": "Driver Pose Estimation by Hybrid Convolutional Network Architecture", "addresses": [{"name": "National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, China", "source_name": "National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, Shaanxi, 710049, China", "street_adddress": "Jiaoda Commerce Block, Beilin, Xi'an, Shaanxi, China, 710049", "lat": "34.24845540", "lng": "108.98873940", "type": "gov", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623392"]}, {"id": "1695d0112d2e2c6df8bbe1d6abe18a457eba90dc", "title": "Classification of Crash and Near-Crash Events from Dashcam Videos and Telematics", "addresses": [{"name": "Verizon Connect Research, Florence, Italy", "source_name": "Verizon Connect Research, via Paisiello 16-20, Florence, 50144, Italy", "street_adddress": "Via Giovanni Paisiello, 20, 50144 Firenze FI, Italy", "lat": "43.78205540", "lng": "11.23259400", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569952", "http://doi.org/10.1109/ITSC.2018.8569952"]}, {"id": "2fc6647858a1c7d6f51c4c57368e50677f30c0a9", "title": "Simultaneous object detection and localization using convolutional neural networks", "addresses": [{"name": "Mohammed V University in Rabat", "source_name": "LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco", "street_adddress": "Angle avenues des FAR et Allal El Fassi, Hay Ryad, B.P. 8027 N.U.\u060c Rabat 10102, Morocco", "lat": "33.97023350", "lng": "-6.87447300", "type": "edu", "country": "Morocco"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354045"]}, {"id": "4066f186ff58d300090c652925ed0aed3355efec", "title": "Solving Visual Madlibs with Multiple Cues", "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": "2016", "pdf": ["https://arxiv.org/pdf/1608.03410.pdf"], "doi": []}, {"id": "5de5848dc3fc35e40420ffec70a407e4770e3a8d", "title": "WebVision Database: Visual Learning and Understanding from Web Data", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02862.pdf"], "doi": []}, {"id": "7897f6a19d5211bf6387f5c9e141c90a0cc84566", "title": "One-shot Texture Segmentation", "addresses": [{"name": "University of T\u00fcbingen", "source_name": "University of T\u00fcbingen", "street_adddress": "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "lat": "48.52947820", "lng": "9.04377400", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02654.pdf"], "doi": []}, {"id": "947f2d465df60ec49f441f02733edbeb81dde2f2", "title": "Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03517.pdf"], "doi": []}, {"id": "5b1e42e0ff78880dccdf4d90cfd5c6e3e577f923", "title": "Deep Feature Pyramid Reconfiguration 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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07993.pdf"], "doi": []}, {"id": "d7221695df4de3f34d5e4a877b71c14bc88760d2", "title": "Proposal Incorporating Structural Bias into Neural Networks", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/d722/1695df4de3f34d5e4a877b71c14bc88760d2.pdf"], "doi": []}, {"id": "dc5fc803b64b49217babab378efe29f35b697d2f", "title": "Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"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"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-017-1752-9"]}, {"id": "4f69ad0e52e37ba06db1c2b89c180f3ba331cc4a", "title": "Automatic Generation of Grounded Visual Questions", "addresses": [{"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}, {"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06530.pdf"], "doi": []}, {"id": "8060ae8621a20e5cbf6e974aab12ad34c37e9651", "title": "Intelligent surveillance system for abandoned luggage", "addresses": [{"name": "Orta Do\u011fu Teknik \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Kuzey K\u0131br\u0131s Kamp\u00fcs\u00fc, Kalkanl\u0131, Kuzey K\u0131br\u0131s", "street_adddress": "Kalkanl\u0131, G\u00fczelyurt", "lat": "35.24908700", "lng": "33.02407600", "type": "edu", "country": "Turkey"}, {"name": "Elektrik - Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Kuzey K\u0131br\u0131s Kamp\u00fcs\u00fc, Kalkanl\u0131, Kuzey K\u0131br\u0131s", "source_name": "Elektrik - Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Kuzey K\u0131br\u0131s Kamp\u00fcs\u00fc, Kalkanl\u0131, Kuzey K\u0131br\u0131s", "street_adddress": "Kalkanl\u0131, G\u00fczelyurt", "lat": "35.24908700", "lng": "33.02407600", "type": "edu", "country": "Turkey"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404327", "http://doi.org/10.1109/SIU.2018.8404327"]}, {"id": "87fa9d667f8f41eb04831356dc8d68b190693e5e", "title": "Chat-crowd: A Dialog-based Platform for Visual Layout Composition", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04081.pdf"], "doi": []}, {"id": "250c0c37947d6dc32e1923c8df99bf64dc5d7e10", "title": "Implicit Negative Sub-Categorization and Sink Diversion for Object Detection", "addresses": [{"name": "360 AI Institute, Beijing, China", "source_name": "360 AI Institute, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8125749", "http://doi.org/10.1109/TIP.2017.2779270", "https://www.ncbi.nlm.nih.gov/pubmed/29324412", "https://www.wikidata.org/entity/Q50087459"]}, {"id": "9bda68ea52bddf5365e3230761c95424ff1ddec5", "title": "SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9bda/68ea52bddf5365e3230761c95424ff1ddec5.pdf"], "doi": []}, {"id": "b674dae73fcb236ee951d8ae8a36be527d232678", "title": "A sequential guiding network with attention for image captioning", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "North China Electric Power University", "source_name": "North China Electric Power University", "street_adddress": "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "lat": "38.87604460", "lng": "115.49738730", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00228.pdf"], "doi": []}, {"id": "9ded64e83d3ba51513ea00de27c0c770a02b0cf4", "title": "Image Classification using Transfer Learning from Siamese Networks based on Text Metadata Similarity", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9ded/64e83d3ba51513ea00de27c0c770a02b0cf4.pdf"], "doi": []}, {"id": "5fedae3bccf86052ed725e5925bb4ef47f9389c1", "title": "Word Prior Detection Segmentation Input \" The left guy \" Image : Query : a guy left the youth Energy", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5fed/ae3bccf86052ed725e5925bb4ef47f9389c1.pdf"], "doi": []}, {"id": "5d1d45c89ec13f3b0a83078759bb1dfbac695102", "title": "Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map", "addresses": [{"name": "PSL Research University", "source_name": "MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France", "street_adddress": "60 Boulevard Saint-Michel, 75006 Paris, France", "lat": "48.84496370", "lng": "2.33961050", "type": "edu", "country": "France"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438559"]}, {"id": "8e368144360042aad69703a6bffd56e1e72f2af4", "title": "Revisiting Graph Construction for Fast Image Segmentation", "addresses": [{"name": "University of Florida", "source_name": "University of Florida", "street_adddress": "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu", "country": "United States"}, {"name": "University of Colorado, Denver", "source_name": "University of Colorado Denver", "street_adddress": "University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA", "lat": "39.74287785", "lng": "-105.00596398", "type": "edu", "country": "United States"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.05650.pdf"], "doi": []}, {"id": "82317f5ac40e982b8ec5b2634f1214db259ca325", "title": "Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation", "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": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08948.pdf"], "doi": []}, {"id": "205e895e03969c96f3c482b0bd26308b16a12bd0", "title": "Image Captioning with an Intermediate Attributes Layer", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/205e/895e03969c96f3c482b0bd26308b16a12bd0.pdf"], "doi": []}, {"id": "8b485d7683e54d2b9c5d5ddf4ed31770bb323dbe", "title": "Hybrid Task Cascade for Instance Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"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"}, {"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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "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": "2019", "pdf": ["https://arxiv.org/pdf/1901.07518.pdf"], "doi": []}, {"id": "637648198f9e91654ce27eaaa40512f2dc870fc1", "title": "Survey of Visual Question Answering: Datasets and Techniques", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.03865.pdf"], "doi": []}, {"id": "b99588bd0393a60a0c627970ab6cab7338d08ca6", "title": "Semantic segmentation based on iterative contraction and merging", "addresses": [{"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296488", "http://doi.org/10.1109/ICIP.2017.8296488"]}, {"id": "bb127015474fdc51d4cd6b4dda7176a8c778ea49", "title": "Examining the Impact of Blur on Recognition by Convolutional Networks.", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05760.pdf"], "doi": []}, {"id": "e10ca043fae02972f19292efacddd8e0f216b70c", "title": "Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "CSIRO", "source_name": "CSIRO-Data61, Canberra, Australia", "street_adddress": "North Road Australian National University, The Australian National University, Acton ACT 2601, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06049.pdf"], "doi": []}, {"id": "030ab7710a1307cfa2159686dabd07e2b239fb10", "title": "Crowd-Guided Ensembles: How Can We Choreograph Crowd Workers for Video Segmentation?", "addresses": [{"name": "Massachusetts Institute of Technology & ETH Z\u00fcrich", "source_name": "Massachusetts Institute of Technology & ETH Z\u00fcrich, Cambridge, MA, USA", "street_adddress": "77 Massachusetts Ave, Cambridge, MA 02139, USA", "lat": "42.36009100", "lng": "-71.09416000", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Qatar Computing Research Institute, Doha, Qatar", "source_name": "Qatar Computing Research Institute, Doha, Qatar", "street_adddress": "Ar-Rayyan, Qatar", "lat": "25.32159140", "lng": "51.42577380", "type": "company", "country": "Qatar"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3173685"]}, {"id": "a3d96844dc4fc3b51f3b8361c72f156800794251", "title": "BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01640.pdf"], "doi": []}, {"id": "cf2ab0e639c19877596036603a3000ce7a1deb35", "title": "Self-supervised Learning of Motion Capture", "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": "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": "2017", "pdf": ["https://arxiv.org/pdf/1712.01337.pdf"], "doi": []}, {"id": "8a12540c85c6835eb6fd36131107d82c50d2b8d0", "title": "Dense Image Representation with Spatial Pyramid VLAD Coding of CNN for Locally Robust Captioning", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.09046.pdf"], "doi": []}, {"id": "697f0e24f24b016cef9474db485fe61a667f07b8", "title": "VISER: Visual Self-Regularization", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Yahoo Research", "source_name": "Yahoo Research, USA", "street_adddress": "1680 N Glenville Dr # 100, Richardson, TX 75081, USA", "lat": "32.97000100", "lng": "-96.70543110", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02568.pdf"], "doi": []}, {"id": "9138045b7164876f9c2d6c5891d1f3d13a147d84", "title": "Combining Weakly and Webly Supervised Learning for Classifying Food Images", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08730.pdf"], "doi": []}, {"id": "0ee3aa2a78f9680bb65a823bd9195c879572ec1c", "title": "What Makes an Object Memorable?", "addresses": [{"name": "King Abdullah University of Science and Technology", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"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": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_memorability.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Dubey_What_Makes_an_ICCV_2015_paper.pdf", "http://people.csail.mit.edu/khosla/papers/iccv2015_dubey.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Dubey_What_Makes_an_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410487", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.130", "http://doi.org/10.1109/ICCV.2015.130"]}, {"id": "bddf7da5a21a5d1915cc9ee784223adadbe0aec4", "title": "Question action relevance and editing for visual question answering", "addresses": [{"name": "George Mason University", "source_name": "George Mason University", "street_adddress": "George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA", "lat": "38.83133325", "lng": "-77.30798839", "type": "edu", "country": "United States"}, {"name": "Dipartimento di Informatica, Universit\u00e0 di Salerno, Fisciano, Italy", "source_name": "Dipartimento di Informatica, Universit\u00e0 di Salerno, Fisciano, Italy", "street_adddress": "Universit\u00e0 di Salerno Via Papa, Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.77434920", "lng": "14.78901500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6097-z"]}, {"id": "76b6577f47d6782bf75aca04e361a7b7381b4a84", "title": "Measuring and Modifying the Intrinsic Memorability of Images", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/76b6/577f47d6782bf75aca04e361a7b7381b4a84.pdf"], "doi": []}, {"id": "41a96329d93e7b06ebd6b3a761cc0d50375c5f15", "title": "Visual Learning Beyond Direct Supervision", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://www2.eecs.berkeley.edu/Pubs/TechRpts/2018/EECS-2018-128.pdf"], "doi": ["https://www.base-search.net/Record/2a66cc65fb84214dedf1e3019655a0c160d394ee4e1457c1e1301e57cce6ca94"]}, {"id": "8e325b234e9cb67c285fc256c7e51d5e326952d1", "title": "Single-Shot Bidirectional Pyramid Networks for High-Quality Object 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": "2018", "pdf": ["https://arxiv.org/pdf/1803.08208.pdf"], "doi": []}, {"id": "b90efd4e0a2267b1c47d31ead3c860acb4364cee", "title": "MetaAnchor: Learning to Detect Objects with Customized Anchors", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00980.pdf"], "doi": []}, {"id": "0489a21c77d1646ea3af48d678c3ad9645eef2a9", "title": "Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7765089", "https://www.ncbi.nlm.nih.gov/pubmed/27925605"]}, {"id": "fa2d3c78981ef0e19557e51d85b6dda05345c380", "title": "Detection of valuable left-behind items in vehicle cabins", "addresses": [{"name": "Jaguar Land Rover Research, Coventry, UK", "source_name": "Jaguar Land Rover Research, Coventry, UK", "street_adddress": "Viscount Centre C, Milburn Hill Rd, Coventry CV4 7HS, United Kingdom", "lat": "52.38558050", "lng": "-1.56086400", "type": "company", "country": "United Kingdom"}, {"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995862", "http://doi.org/10.1109/IVS.2017.7995862"]}, {"id": "0000fcfd467a19cf0e59169c2f07d730a0f3a8b9", "title": "Exploring Visual Relationship for Image Captioning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07041.pdf"], "doi": []}, {"id": "c93e26b52cb22382ed2627bf32f86fa18d034cbf", "title": "Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09509.pdf"], "doi": []}, {"id": "57922243faec5a60473fb9ec32d9adcd94fb6cc8", "title": "Identifying Most Walkable Direction for Navigation in an Outdoor Environment", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08040.pdf"], "doi": []}, {"id": "89588a697c8b81e38d3793db5055a65c4abc4845", "title": "Swap Retrieval: Retrieving Images of Cats When the Query Shows a Dog", "addresses": [{"name": "KULeuven, Leuven, Belgium", "source_name": "KULeuven, Leuven, Belgium", "street_adddress": "Oude Markt 13, 3000 Leuven, Belgium", "lat": "50.87795450", "lng": "4.70029530", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749373"]}, {"id": "1b793cc5dceb98c95e816aebc2252205bfd71569", "title": "ADNet: A Deep Network for Detecting Adverts", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04115.pdf"], "doi": []}, {"id": "532c089b43983935e1001c5e35aa35440263beaf", "title": "G-Distillation: Reducing Overconfident Errors on Novel Samples", "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/1804.03166.pdf"], "doi": []}, {"id": "20e24a40dc855fa69aa3d85b4bfdcfb8c9dadb74", "title": "Multi-Networks Joint Learning for Large-Scale Cross-Modal Retrieval", "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": "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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123317"]}, {"id": "04e2b2eab1966ffb0079685baf169d4d7ad4ec8c", "title": "Detecting Sex From Handwritten Examples", "addresses": [{"name": "Independent University Bangladesh", "source_name": "Fab Lab, Independent University Bangladesh, Dhaka, Bangladesh", "street_adddress": "Independent University, Bangladesh Plot 16, \u0986\u09ab\u09a4\u09be\u09ac \u0989\u09a6\u09cd\u09a6\u09bf\u09a8 \u0986\u09b9\u09ae\u09c7\u09a6 \u09b0\u09cb\u09a1, \u09a2\u09be\u0995\u09be, Bangladesh", "lat": "23.81524690", "lng": "90.42796720", "type": "edu", "country": "Bangladesh"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8541214", "http://doi.org/10.1109/icscan.2018.8541214"]}, {"id": "00e19d93780ecf8f807c510a1105749d5bb1a2f3", "title": "Image Description using Deep Neural Networks", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/00e1/9d93780ecf8f807c510a1105749d5bb1a2f3.pdf"], "doi": []}, {"id": "6f3a1216e984c78e7374b3b7ab05612544d345eb", "title": "DeRPN: Taking a further step toward more general object detection", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06700.pdf"], "doi": []}, {"id": "e2d1e72fdb7e0b7a3ebb9ddc4cc161566ab74de2", "title": "Person Search via a Mask-Guided Two-Stream CNN Model", "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"}, {"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"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08107.pdf"], "doi": []}, {"id": "10706113b871354248beb37fe5bb2f31925f7a68", "title": "A Vision-based Transfer Learning Approach for Recognizing Behavioral Symptoms in People with Dementia", "addresses": [{"name": "Edge Hill University", "source_name": "Edge Hill University", "street_adddress": "Edge Hill University, St Helens Road, West Lancashire, Lancs, North West England, England, L39 4QP, UK", "lat": "53.55821550", "lng": "-2.86904651", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639371"]}, {"id": "3921afded8bc8471d784df86f64432fb14b8ef58", "title": "Egocentric Gesture Recognition for Head-Mounted AR devices", "addresses": [{"name": "Trinity College Dublin", "source_name": "Trinity College Dublin, Dublin 2, Ireland", "street_adddress": "College Green, Dublin 2, Co. Dublin, Ireland", "lat": "53.34379350", "lng": "-6.25457160", "type": "edu", "country": "Ireland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05380.pdf"], "doi": []}, {"id": "d9519d66f9844fcf306cc205593a55cf01090633", "title": "Image2song: Song Retrieval via Bridging Image Content and Lyric Words", "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": "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.05851.pdf"], "doi": []}, {"id": "b5bfe824fc49fe78b538ac15f21c4cd6a9d44347", "title": "Image Caption with Synchronous Cross-Attention", "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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126714"]}, {"id": "6220d0424bc7357e7e381d59baecdff91062ba81", "title": "A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation", "addresses": [{"name": "Loughborough University", "source_name": "Loughborough University", "street_adddress": "Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1807.02480.pdf"], "doi": []}, {"id": "c8671a739a95f57946a625c3eada1f4addc60aea", "title": "Transferable Interactiveness Prior for Human-Object Interaction Detection", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08264.pdf"], "doi": []}, {"id": "e38c7d4f8a4399f402ab6bb364ec662fe897bed1", "title": "PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09190.pdf"], "doi": []}, {"id": "d3bbd57899d938e8c4bcafbbda10ceb59638e4db", "title": "Skip-Thought Vectors", "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"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06726.pdf"], "doi": []}, {"id": "11da2d589485685f792a8ac79d4c2e589e5f77bd", "title": "Show and tell: A neural image caption generator", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4555.pdf"], "doi": []}, {"id": "0ae247153afd87f98829359a8b5df0f68d788d75", "title": "A Corpus for Reasoning About Natural Language Grounded in Photographs", "addresses": [{"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": "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": ["https://arxiv.org/pdf/1811.00491.pdf"], "doi": []}, {"id": "30795da8026e875faaffa3d6f2fa03c9c5d14c55", "title": "Richer Semantic Visual and Language Representation for Video Captioning", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3127895"]}, {"id": "2675a66b3f8743cf0551f284244af4f24537c19b", "title": "Learning Visually Grounded Sentence Representations", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.06320.pdf"], "doi": []}, {"id": "5f79398057bf0bbda9ff50067bc1f2950c2a2266", "title": "Progressive Neural Architecture Search", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.00559.pdf"], "doi": []}, {"id": "02588064dd2b4b56d1dad214c1af3a7518832a59", "title": "A survey on deep neural network-based image captioning", "addresses": [{"name": "Dalian Maritime University", "source_name": "Dalian Maritime University, Dalian, China", "street_adddress": "1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China", "lat": "38.87004100", "lng": "121.53414100", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-1566-y"]}, {"id": "bb93c56a44a244601daad96a7bb94e41609afc4d", "title": "Towards Improved Design and Evaluation of Epileptic Seizure Predictors", "addresses": [{"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}, {"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://biblio.ugent.be/publication/8519033/file/8520709.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7915772", "http://doi.org/10.1109/TBME.2017.2700086", "https://www.ncbi.nlm.nih.gov/pubmed/28475041", "https://www.wikidata.org/entity/Q38687464"]}, {"id": "19aa506d04d3f7241fc71b595d28b5f1bb99edad", "title": "Compact Generalized Non-local Network", "addresses": [{"name": "Central South University", "source_name": "Central South University, Changsha, People\u2019s Republic of China", "street_adddress": "932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China", "lat": "28.16437000", "lng": "112.93251000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13125.pdf"], "doi": []}, {"id": "738947f9b0bc50d1b7d5cbe84856bc18fcaee386", "title": "Deep learning-based human head detection and extraction for robotic portrait drawing", "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"}, {"name": "Shenzhen Academy of Robotics, Shenzhen, Guangdong, China", "source_name": "Shenzhen Academy of Robotics, Shenzhen, Guangdong, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324594", "http://doi.org/10.1109/ROBIO.2017.8324594"]}, {"id": "80acc73e29fb324a3e01113bbeddccacaf5283f1", "title": "Generate, Segment and Replace: Towards Generic Manipulation Segmentation.", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.09729.pdf"], "doi": []}, {"id": "b4c48aa7a93f38d2eb60209120a1a8daa61c4545", "title": "Diversity in Object Proposals", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.04308.pdf"], "doi": []}, {"id": "26e425781e4090abfae65b5d68eac72282dd2e31", "title": "Image Captioning with Deep Bidirectional LSTMs", "addresses": [{"name": "University of Potsdam", "source_name": "Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.00790.pdf"], "doi": []}, {"id": "d6c3f9edf5459db8633f9155f55e6f735dd0ce8b", "title": "Edge-Cloud Collaborative Processing for Intelligent Internet of Things: A Case Study on Smart Surveillance", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3196036"]}, {"id": "f831f81f34a9c9dde41c5250b1a9dadf8ec8963b", "title": "Video Object Segmentation with Re-identification", "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": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00197.pdf"], "doi": []}, {"id": "b29c83b6ee10857e09ac3503916ae1b129642cae", "title": "Mo 2 Cap 2 : Real-time Mo bile 3 D Mo tion Cap ture with a Cap-mounted Fisheye Camera", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b29c/83b6ee10857e09ac3503916ae1b129642cae.pdf"], "doi": []}, {"id": "f3b24cdbd1e7fd94d7ad1fa077dfa051bcc8aa38", "title": "AUTOMATIC IMAGE ANNOTATION MODEL USING LSTM APPROACH", "addresses": [{"name": "Varanasi", "source_name": "Varanasi", "street_adddress": "Varanasi, Uttar Pradesh, India", "lat": "25.31764520", "lng": "82.97391440", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f3b2/4cdbd1e7fd94d7ad1fa077dfa051bcc8aa38.pdf"], "doi": []}, {"id": "4f0d7f2926061c9dd6081d95eb9755812f9a16c2", "title": "Videos as Space-Time Region Graphs", "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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01810.pdf"], "doi": []}, {"id": "ad6dedc3f56b1ef2c083cb13c2638eddf208d49b", "title": "An object based graph representation for video comparison", "addresses": [{"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296742", "http://doi.org/10.1109/ICIP.2017.8296742"]}, {"id": "cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de", "title": "Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}, {"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/1802.07101.pdf"], "doi": []}, {"id": "d9aca4cfe6bf49056c4bc6796414355a59cf5fb5", "title": "3D-SSD: Learning Hierarchical Features from RGB-D Images for Amodal 3D Object Detection", "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/1711.00238.pdf"], "doi": []}, {"id": "11f515ead5b4a7259668f2620e808fa8ba5ea65c", "title": "Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues", "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": "2017", "pdf": ["https://arxiv.org/pdf/1611.06641.pdf"], "doi": []}, {"id": "d0593359627cd0744740ea50731d2b98ff6b1937", "title": "Short-term memory with read-only unit in neural image caption generator", "addresses": [{"name": "Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia", "source_name": "Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia", "street_adddress": "62/1 Paruyr Sevak St, Yerevan, Armenia", "lat": "40.21254620", "lng": "44.53266140", "type": "edu", "country": "Armenia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8312163"]}, {"id": "85e283564fca1d1cf4d142647561901a26f144c6", "title": "On the Origin of Deep Learning On the Origin of Deep Learning", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/85e2/83564fca1d1cf4d142647561901a26f144c6.pdf"], "doi": []}, {"id": "3e198f28343fccf502bc20191660dd090ba5356d", "title": "Accurate License Plate Recognition and Super-Resolution Using a Generative Adversarial Networks on Traffic Surveillance Video", "addresses": [{"name": "Gwangju Institute of Science and Technology", "source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8552121", "http://doi.org/10.1109/icce-asia.2018.8552121"]}, {"id": "bc1d609520290e0460c49b685675eb5a57fa5935", "title": "An efficient framework for learning sentence representations", "addresses": [{"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": "2018", "pdf": ["https://arxiv.org/pdf/1803.02893.pdf"], "doi": []}, {"id": "704b46c9c255cd22b4712dcc6bc417d6fefc1e18", "title": "Learning RoI Transformer for Detecting Oriented Objects 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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00155.pdf"], "doi": []}, {"id": "7f1d7688c4923cab09bf0a548e6f1fc1dd916b51", "title": "Boundary aware image segmentation with unsupervised mixture models", "addresses": [{"name": "Technical University Dortmund", "source_name": "Image Analysis Group, Technical University Dortmund, Otto-Hahn-Str. 4, 44227 Dortmund, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296898", "http://doi.org/10.1109/ICIP.2017.8296898"]}, {"id": "0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813", "title": "Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04960.pdf"], "doi": []}, {"id": "3d22f972448a2336677ae6ff2877fae010c7dfa2", "title": "What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02043.pdf"], "doi": []}, {"id": "c0ef854f4119a74b37211aa4cc36b8c1addd9057", "title": "Training object class detectors with click supervision Dim", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/c0ef/854f4119a74b37211aa4cc36b8c1addd9057.pdf"], "doi": []}, {"id": "0e23229289b1fbea14bc425718bc0a227d100b8e", "title": "Survey of Recent Advances in Visual Question Answering", "addresses": [{"name": "Hyderabad, India", "source_name": "Hyderabad, India", "street_adddress": "Hyderabad, Telangana, India", "lat": "17.38504400", "lng": "78.48667100", "type": "edu", "country": "India"}, {"name": "Adobe Systems", "source_name": "Adobe Systems", "street_adddress": "343 Preston St, Ottawa, ON K1S 1N4, Canada", "lat": "45.40242130", "lng": "-75.70955410", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08203.pdf"], "doi": []}, {"id": "6950b44613b7a98e860d800fdbbe1693c6444729", "title": "Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint", "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": "2018", "pdf": ["https://arxiv.org/pdf/1807.09972.pdf"], "doi": []}, {"id": "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "title": "Exploring Person Context and Local Scene Context for Object Detection.", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08177.pdf"], "doi": []}, {"id": "828ac57f755db989e2886042a85278ae4823297c", "title": "Uncovering the Temporal Context for Video Question Answering", "addresses": [{"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": "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": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-017-1033-7"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "addresses": [{"name": "Adelaide University", "source_name": "Adelaide University, Australia", "street_adddress": "Adelaide SA 5005, Australia", "lat": "-34.92060300", "lng": "138.60622770", "type": "edu", "country": "Australia"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing University of Science & Technology", "source_name": "Nanjing University of Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "China, Jiangsu, Nanjing, Xuanwu, \u4e2d\u5c71\u95e8\u5916\u5927\u8857", "lat": "32.03522500", "lng": "118.85531700", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"], "doi": []}, {"id": "69c22f1f72de76dfd4f5b90621dad4969674da1e", "title": "Convolution Neural Networks With Two Pathways for Image Style Recognition", "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": "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7945535", "http://doi.org/10.1109/TIP.2017.2710631", "https://www.ncbi.nlm.nih.gov/pubmed/28613168", "https://www.wikidata.org/entity/Q38726144"]}, {"id": "5820ba4c09695ce677a5aca6b0628c024303e60b", "title": "Semantic Correspondence: A Hierarchical Approach", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03560.pdf"], "doi": []}, {"id": "2d3d4883350a48708cdc0c260479110e5eed965a", "title": "Leveraging Visual Question Answering for Image-Caption Ranking", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01379.pdf"], "doi": []}, {"id": "7a82d83f818cdc4ac714e468446bc2499ff9caa7", "title": "Object Referring in Videos with Language and Human Gaze", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01582.pdf"], "doi": []}, {"id": "1cfbaa9af05f0eea03ac7c28cc0e588687cd8343", "title": "Self-view Grounding Given a Narrated 360{\\deg} Video", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08664.pdf"], "doi": []}, {"id": "a678b68abd4047d5342f64725f57a04647a47711", "title": "From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12772.pdf"], "doi": []}, {"id": "19d1855e021561d6da9d0200bb18e47f51cddda6", "title": "Visual Storytelling", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"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": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03968.pdf"], "doi": []}, {"id": "eecd9a070ed333077a066bfdcf776c51c2c74406", "title": "Deep image representations using caption generators", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09142.pdf"], "doi": []}, {"id": "b9566216ec1e5dcd02e3a222987f1934e44c773e", "title": "Neuron-level Selective Context Aggregation for Scene Segmentation", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"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://arxiv.org/pdf/1711.08278.pdf"], "doi": []}, {"id": "8c3cf0c579a28890e21428fcad7f09175e65e43d", "title": "Adding object detection skills to visual dialogue agents", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8c3c/f0c579a28890e21428fcad7f09175e65e43d.pdf"], "doi": []}, {"id": "e559630c5710afb0d5eb8f95141e451393bbcbd9", "title": "Factors Influencing The Performance of Image Captioning Model: An Evaluation", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hanoi University of Science and Technology", "source_name": "Hanoi University of Science and Technology", "street_adddress": "HUST, Tr\u1ea7n \u0110\u1ea1i Ngh\u0129a, Hai B\u00e0 Tr\u01b0ng, H\u00e0 N\u1ed9i, 10999, Vietnam", "lat": "21.00395200", "lng": "105.84360183", "type": "edu", "country": "Vietnam"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3007136"]}, {"id": "e6d8ebfd88ee333deccce32b09ee41d271af6dc4", "title": "Grasp2Vec: Learning Object Representations from Self-Supervised Grasping", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06964.pdf"], "doi": []}, {"id": "aea6dfb43df75b176ff209f5510a0f17256a4d0a", "title": "Learning 3 D Scene Synthesis from Annotated RGB-D Images", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"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": "2016", "pdf": ["https://pdfs.semanticscholar.org/aea6/dfb43df75b176ff209f5510a0f17256a4d0a.pdf"], "doi": []}, {"id": "b7407b2ea67b8c82246f013f4966c4cac1507e60", "title": "Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b740/7b2ea67b8c82246f013f4966c4cac1507e60.pdf"], "doi": []}, {"id": "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "title": "Natural Language Object Retrieval", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.04164.pdf"], "doi": []}, {"id": "e4b9c14951cea6259dd9d522586ba2c5bb1fbcce", "title": "Social Image Captioning: Exploring Visual Attention and User Attention", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4b9/c14951cea6259dd9d522586ba2c5bb1fbcce.pdf"], "doi": []}, {"id": "cf98c333c8d7d5870c1ce5538bb0c3de3de16657", "title": "Panoptic Segmentation", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00868.pdf"], "doi": []}, {"id": "75cea964884a6f5c35e2954e56fc787ed8f9662c", "title": "Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models", "addresses": [{"name": "University of Science, Vietnam", "source_name": "University of Science, Vietnam", "street_adddress": "227 \u0110\u01b0\u1eddng Nguy\u1ec5n V\u0103n C\u1eeb, Ph\u01b0\u1eddng 4, Qu\u1eadn 5, H\u1ed3 Ch\u00ed Minh, Vietnam", "lat": "10.76291300", "lng": "106.68217170", "type": "edu", "country": "Vietnam"}, {"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}, {"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03407.pdf"], "doi": []}, {"id": "ad8fc03b492590a4282df52fe998d713995d0a0c", "title": "Exploring confusing scene classes for the places dataset: Insights and solutions", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282094", "http://doi.org/10.1109/APSIPA.2017.8282094"]}, {"id": "943c372336ced4b28e15e02fe8db1f4b23bf6835", "title": "Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey", "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": "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"}, {"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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253582", "http://doi.org/10.1109/MSP.2017.2749125"]}, {"id": "4923c6bc3ab501651763f6814a8384745f3d9a4d", "title": "Visual attribute transfer through deep image analogy", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01088.pdf"], "doi": []}, {"id": "0013fae7390cbd34aade7959b4476512d8ab9aa3", "title": "Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10652.pdf"], "doi": []}, {"id": "00ca28c1c8005ae8d06c7afd0284f67c67710c43", "title": "Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12354.pdf"], "doi": []}, {"id": "a88f86093e6f2d14761d4b8cbdcadfeff496c948", "title": "Adversarial Ranking for Language Generation", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.11001.pdf"], "doi": []}, {"id": "30f33cffe390dfcc03d8df28593aebba6afafd59", "title": "Video Predictive Object Detector", "addresses": [{"name": "Queen's University", "source_name": "Queen's University, Belfast, UK", "street_adddress": "University Rd, Belfast BT7 1NN, UK", "lat": "54.58440870", "lng": "-5.93404930", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615054"]}, {"id": "e69b1314cd65a115c98082a5863b92daa4dcf9f0", "title": "Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "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"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7792699", "http://doi.org/10.1109/TMI.2016.2642839", "https://www.ncbi.nlm.nih.gov/pubmed/28026754", "https://www.wikidata.org/entity/Q39062626"]}, {"id": "fe8431a3b4313737183510d8f01003d48870d277", "title": "Superpixel Filtering for Mean Field Inference in CRFs Integrated with Convolutional Neural Networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe84/31a3b4313737183510d8f01003d48870d277.pdf"], "doi": []}, {"id": "99ef290d0eca8cfe8dc086bb1c4571e88eb876e4", "title": "Multi-label image classification with recurrently learning semantic dependencies", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-018-01615-0"]}, {"id": "2e0f1c89c4e099b14c4d77bd406be9f7b78d6f6d", "title": "GLA: Global\u2013Local Attention for Image Description", "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"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031355", "http://doi.org/10.1109/TMM.2017.2751140"]}, {"id": "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "title": "Computer Vision and Deep Learning for Automated Surveillance Technology", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b0c92f2a619157e2bedf15abb97ed1b0b98f.pdf"], "doi": []}, {"id": "8d0fb60adc54c168587bce2cf5b1c46ba2ac36e3", "title": "Exploiting Saliency for Object Segmentation from Image Level Labels", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08261.pdf"], "doi": []}, {"id": "55b9b1c1c5487f5f62b44340104a9c4cc2ed7c96", "title": "The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question Answering (FSVQA).", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06657.pdf"], "doi": []}, {"id": "0d57ba12a6d958e178d83be4c84513f7e42b24e5", "title": "Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.02677.pdf"], "doi": []}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"], "doi": []}, {"id": "0744143542ffcb45b1ad83078c23efa9d3ec2be4", "title": "Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation", "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": "2018", "pdf": ["https://arxiv.org/pdf/1808.04818.pdf"], "doi": []}, {"id": "ee5b4fc5fafa7e883d751557b5c7863503cd92d2", "title": "Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.07177.pdf"], "doi": []}, {"id": "3f15c35d4c5ed41de9f57e06849f750e43fe80b3", "title": "JointFlow : Temporal Flow Fields for Multi Person Pose Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3f15/c35d4c5ed41de9f57e06849f750e43fe80b3.pdf"], "doi": []}, {"id": "d0e20aa3d61b77d17f005a1d24d7cf47600836ef", "title": "Rethinking Atrous Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05587.pdf"], "doi": []}, {"id": "4fa6a688f350831503d158f8f618c58d1e06bc5d", "title": "A Semi-supervised Framework for Image Captioning", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05321.pdf"], "doi": []}, {"id": "7d8c2d29deb80ceed3c8568100376195ce0914cb", "title": "Identity-Aware Textual-Visual Matching with Latent Co-attention", "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/1708.01988.pdf"], "doi": []}, {"id": "3f607dd67b456e3dfb136c70a3dae369945a6076", "title": "Improved Selective Refinement Network for 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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.06651.pdf"], "doi": []}, {"id": "357df3ee0f0c30d5c8abc5a1bdf70122322d6fbd", "title": "O BJECT DETECTORS EMERGE IN D EEP S CENE CNN S", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/08c7/a85c443935468450a162ddeccd2b945660e3.pdf"], "doi": []}, {"id": "ef12de45bd47e03451cde586697601cd7e36c3b9", "title": "Aligning Text and Document Illustrations: Towards Visually Explainable Digital Humanities", "addresses": [{"name": "University of of Modena and Reggio Emilia", "source_name": "University of of Modena and Reggio Emilia", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545064", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545064", "http://doi.org/10.1109/ICPR.2018.8545064"]}, {"id": "6cc46899b415ebef4a70068b2cbd8a50e955aeb6", "title": "Where to put the Image in an Image Caption Generator", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.09137.pdf"], "doi": []}, {"id": "3d732ba534081326eb9de70f2e370a31940c2990", "title": "Semantic image segmentation using fully convolutional neural networks with multi-scale images and multi-scale dilated convolutions", "addresses": [{"name": "Gachon University", "source_name": "Gachon University, Gyeonggi-do, South Korea", "street_adddress": "1342 Seongnam-daero, Bokjeong-dong, Sujeong-gu, Seongnam-si, Gyeonggi-do, South Korea", "lat": "37.45074520", "lng": "127.12884740", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5653-x"]}, {"id": "5ffa8cfea2f5bea0ec7cecfdf76f9478ca87df89", "title": "Context-Aware Captions from Context-Agnostic Supervision", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02870.pdf"], "doi": []}, {"id": "b9146b314812231d09587e3a9f622dda65d3cc40", "title": "A survey on social image understanding", "addresses": [{"name": "Nanjing Normal University Nanjing", "source_name": "Honors College, Nanjing Normal University Nanjing, Jiangsu, 210023, China", "street_adddress": "122 Ninghai Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210097", "lat": "32.05494300", "lng": "118.76494700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8256394", "http://doi.org/10.1109/BESC.2017.8256394"]}, {"id": "9d0c3adbee8098d47c7c0704e0841fa7daf8d161", "title": "The price of debiasing automatic metrics in natural language evalaution", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02202.pdf"], "doi": []}, {"id": "6e97a99b2879634ecae962ddb8af7c1a0a653a82", "title": "Towards Context-aware Interaction Recognition", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06246.pdf"], "doi": []}, {"id": "4cc2dc6e6b1f4575e86217a13b591f605a12b825", "title": "Consistent Optimization for Single-Shot 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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.06563.pdf"], "doi": []}, {"id": "9ac253caa50f7d94eead17ac12499226c0f05e87", "title": "Analysing object detectors from the perspective of co-occurring object categories", "addresses": [{"name": "Nokia Bell Labs, Budapest, Hungary", "source_name": "Nokia Bell Labs, Budapest, Hungary", "street_adddress": "Budapest, Hungary", "lat": "47.49791200", "lng": "19.04023500", "type": "company", "country": "Hungary"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639888"]}, {"id": "102e7bd7660357e1814c821c7f697f2eccececa4", "title": "Predicting Motivations of Actions by Leveraging Text", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "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": "2016", "pdf": ["https://arxiv.org/pdf/1406.5472.pdf"], "doi": []}, {"id": "c2f1aa6395941438501653ea262df63c812e8f71", "title": "Non-parametric human segmentation using support vector machine", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7514714", "http://doi.org/10.1109/ICCE.2016.7430551"]}, {"id": "819d1dcea397e6e671acf74adccdef5750550873", "title": "Representations for Visually Guided Actions", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/819d/1dcea397e6e671acf74adccdef5750550873.pdf"], "doi": []}, {"id": "c1de9803bd0072f017a97c0503308a7b9b4f211b", "title": "Analysis of Spatial, Temporal, and Content Characteristics of Videos in the YFCC100M Dataset", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2983559"]}, {"id": "2298a1e437b4f8f2f2f016f1a98c027bf2f7f5bb", "title": "Top-Down Neural Attention by Excitation Backprop", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.00507.pdf"], "doi": []}, {"id": "afa073e5ec712423e300f21bcb2c3f17a69fa9d1", "title": "Style Transfer at 100+ FPS Via Sub-Pixel Super-Resolution", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551538", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2018.8551538", "http://doi.org/10.1109/ICMEW.2018.8551538"]}, {"id": "19317c6aa7f88c79abe03b146aa5d340a11fde3f", "title": "Object Proposal Generation With Fully Convolutional Networks", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7484700", "http://doi.org/10.1109/TCSVT.2016.2576759"]}, {"id": "6a75ef6b36489cb59c61f21f3cd09c50ad5b2995", "title": "MVTec D2S: Densely Segmented Supermarket Dataset", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08292.pdf"], "doi": []}, {"id": "02d6fb270c82c390476faffc6015b3116ddbb60c", "title": "Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd4a/bb49151220b389d9df1f19fecc3d92e0bff4.pdf"], "doi": []}, {"id": "11d256be1eb3da7789c0c9672f467079917baada", "title": "Action Classification via Concepts and Attributes", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.07824.pdf"], "doi": []}, {"id": "549d55a06c5402696e063ce36b411f341a64f8a9", "title": "Learning Deep Structure-Preserving Image-Text Embeddings", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.06078.pdf"], "doi": []}, {"id": "3f5b20c35f55417823f0201862d85af1f31e9348", "title": "Salience Biased Loss for Object Detection in Aerial Images", "addresses": [{"name": "University of Missouri-Columbia", "source_name": "University of Missouri-Columbia, USA", "street_adddress": "Columbia, MO 65211, USA", "lat": "38.94038080", "lng": "-92.32773750", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08103.pdf"], "doi": []}, {"id": "cbe6739ecdb23d61f2ff74481c6b538ef953eb10", "title": "Learning to Learn: Model Regression Networks for Easy Small Sample Learning", "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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cbe6/739ecdb23d61f2ff74481c6b538ef953eb10.pdf"], "doi": []}, {"id": "a4e1a95c32e9477aa1b09073a1fd3ca129aacadc", "title": "Driver Identification System Using Convolutional Neural Network with Background Removal-based Infrared Data Augmentation", "addresses": [{"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500364", "http://doi.org/10.1109/IVS.2018.8500364"]}, {"id": "3e4d8bd8cb917db9bad1ed4382ccb266ab5fa411", "title": "Toward Efficient Simultaneous Detection and Segmentation", "addresses": [{"name": "Beijing Information Science and Technology University", "source_name": "Beijing Information Science and Technology University, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u6e05\u6cb3\u56db\u62d4\u5b50", "lat": "40.04332040", "lng": "116.34181090", "type": "edu", "country": "China"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499154", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2018.8499154", "http://doi.org/10.1109/BigMM.2018.8499154"]}, {"id": "4f0b8f730273e9f11b2bfad2415485414b96299f", "title": "BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1805.04687.pdf"], "doi": []}, {"id": "4f9beb035a3d196f653e8528303fdf9ded998e22", "title": "Can You See the (Linguistic) Difference? Exploring Mass/Count Distinction in Vision", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4f9b/eb035a3d196f653e8528303fdf9ded998e22.pdf"], "doi": []}, {"id": "87e1ae939f3632f26a9878fe32674e338cb18094", "title": "C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis", "addresses": [{"name": "IIT Hyderabad, India", "source_name": "IIT Hyderabad, Kandi, Telangana, 502285, India", "street_adddress": "IITH Main Road, Near NH-65, Sangareddy, Kandi, Telangana 502285, India", "lat": "17.59470330", "lng": "78.12310540", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10238.pdf"], "doi": []}, {"id": "7277fdf51bb3fc38f254a5546c53caa4169653c9", "title": "Domain Adaptation for Neural Networks by Parameter Augmentation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00410.pdf"], "doi": []}, {"id": "32812f35efab1fc5bdbcc17d67f27bba31c720c6", "title": "Dropout during inference as a model for neurological degeneration in an image captioning network", "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/1808.03747.pdf"], "doi": []}, {"id": "9534a04de5e99a44df76ea30140f66a62e83fdaa", "title": "Iteratively Trained Interactive Segmentation", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04398.pdf"], "doi": []}, {"id": "3349fab3a5e2b7c5194289bdc839f87f556ea3ef", "title": "Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3349/fab3a5e2b7c5194289bdc839f87f556ea3ef.pdf"], "doi": []}, {"id": "eb7e0dfc61f3f9993a39316ccaaa263059b3a108", "title": "Spatially Adaptive Computation Time for Residual Networks", "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", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02297.pdf"], "doi": []}, {"id": "16beefb2f8d0d61e536bf20766e485499906c2e0", "title": "Image Surveillance Assistant", "addresses": [{"name": "Naval Research Laboratory", "source_name": "Naval Research Laboratory", "street_adddress": "Naval Research Laboratory Post Office, 4555, Overlook Avenue Southwest, Washington, D.C., 20375, USA", "lat": "38.82313810", "lng": "-77.01789020", "type": "mil", "country": "United States"}], "year": "2016", "pdf": ["http://cs.umd.edu/~maynord/Image_Surveillance_Assistant.pdf", "https://www.nrl.navy.mil/itd/aic/sites/www.nrl.navy.mil.itd.aic/files/pdfs/(Maynord+%20WACV-16%20WS)%20Intelligent%20Surveillance%20Assistant.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7470119", "http://doi.ieeecomputersociety.org/10.1109/WACVW.2016.7470119", "http://doi.org/10.1109/WACVW.2016.7470119"]}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}, {"id": "edafa697ba68874d608015b521c43d04e3584992", "title": "Gated Recurrent Capsules for Visual Word Embeddings", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/edaf/a697ba68874d608015b521c43d04e3584992.pdf"], "doi": []}, {"id": "6e09a291d61f0e26ce3522a1b0fce952fb811090", "title": "Generative Attention Model with Adversarial Self-learning for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3126695"]}, {"id": "46253ab8721ced8c9b94234f3a2401efde1e3f2a", "title": "Language Models for Image Captioning: The Quirks and What Works", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01809.pdf"], "doi": []}, {"id": "402324c77b7b4040810480d6947c7db92d491308", "title": "Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.08123.pdf"], "doi": []}, {"id": "64e2ea4ca45cbf1a6ef35f3448c5799354e2f603", "title": "Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection", "addresses": [{"name": "University of Sheffield", "source_name": "The University of Sheffield", "street_adddress": "University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK", "lat": "53.38152480", "lng": "-1.48068143", "type": "edu", "country": "United Kingdom"}, {"name": "National Institutes of Health (NIH) Clinical Center, Bethesda, MD", "source_name": "National Institutes of Health (NIH) Clinical Center, Bethesda, MD", "street_adddress": "10 Center Dr, Bethesda, MD 20814, USA", "lat": "39.00252720", "lng": "-77.10437890", "type": "edu", "country": "United States"}, {"name": "\u00c9cole Centrale de Lyon", "source_name": "Laboratoire LIRIS", "street_adddress": "40 Avenue Guy de Collongue, 69130 \u00c9cully, France", "lat": "45.78359660", "lng": "4.76789480", "type": "edu", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8103045"]}, {"id": "14c2321851fb5ae580a19726dd2753a525d6ad76", "title": "Grounding of Textual Phrases in Images by Reconstruction", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03745.pdf"], "doi": []}, {"id": "8176e3aea16595b3fe6afdb6c745c9eca98ece06", "title": "The Helping Hand: An Assistive Manipulation Framework Using Augmented Reality and Tongue-Drive Interfaces", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8512668", "http://doi.org/10.1109/EMBC.2018.8512668", "https://www.ncbi.nlm.nih.gov/pubmed/30440831"]}, {"id": "2bc70a13426c79c192c5e57f8a0041d8ecf628a8", "title": "Image Labeling with Markov Random Fields and Conditional Random Fields", "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", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11323.pdf"], "doi": []}, {"id": "af55a25cdd3a2c138e755d5206b35457c1f5760b", "title": "DistInit: Learning Video Representations without a Single Labeled Video", "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": "2019", "pdf": ["https://arxiv.org/pdf/1901.09244.pdf"], "doi": []}, {"id": "9a7784eea6bfa62bf2834ee0b87a3cdda46006f2", "title": "Digital Comics Image Indexing Based on Deep Learning", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9a77/84eea6bfa62bf2834ee0b87a3cdda46006f2.pdf"], "doi": []}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "8de065f412a7d739dff40044212c8506b5c52bf7", "title": "Multi-Person Pose Estimation for PoseTrack with Enhanced Part Affinity Fields", "addresses": [{"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8de0/65f412a7d739dff40044212c8506b5c52bf7.pdf"], "doi": []}, {"id": "80ef252a17d343ac7b12485c117d6df4a409dee5", "title": "Image Caption with Endogenous\u2013Exogenous Attention", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-019-09979-7"]}, {"id": "bd2a3ad4f28757791c9335033f39ac31cb84b8c7", "title": "ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06752.pdf"], "doi": []}, {"id": "8a1f46d56ef6dfa34412986a802b5affe2512000", "title": "Aided Action Recognition Using Single Images", "addresses": [{"name": "Lehigh University", "source_name": "Lehigh University", "street_adddress": "Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA", "lat": "40.60680280", "lng": "-75.37824880", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8a1f/46d56ef6dfa34412986a802b5affe2512000.pdf"], "doi": []}, {"id": "6d3d61ef9b5ff6d41badbc3d40ea23acbbc9c3fe", "title": "Learning to Evaluate Image Captioning", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06422.pdf"], "doi": []}, {"id": "2df1688afdb470a9d9eee95e41fc34ebd0c9036b", "title": "Deep Multimodal Learning: An Effective Method for Video Classification", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.12563.pdf"], "doi": []}, {"id": "ed605dc1e69dccabf47044499e7ec26e30b72b58", "title": "Pre-gen Metrics: Predicting Caption Quality Metrics Without Generating Captions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-11018-5_10"]}, {"id": "c0d0ef94dd3c53c3130b5b8ce38d981929b7adb2", "title": "Weakly- and Semi-supervised Panoptic Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03575.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "43eee49e372e5299608a79f8491fcf40998028df", "title": "Complex event processing for content-based text, image, and video retrieval", "addresses": [{"name": "Army Research Laboratory, Computational and Information Sciences Directorate", "source_name": "Army Research Laboratory, Computational and Information Sciences Directorate", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}, {"name": "Army Research Laboratory, Sensors and Electron Devices Directorate", "source_name": "Army Research Laboratory, Sensors and Electron Devices Directorate", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}, {"name": "Atos Turkey, Ankara, Turkey", "source_name": "Atos Turkey, Ankara, Turkey", "street_adddress": "No: 21, \u00dcniversiteler Mh., Teknokent Silikon Bloklar, 06800 \u00c7ankaya/Ankara, Turkey", "lat": "39.89961620", "lng": "32.77396810", "type": "edu", "country": "Turkey"}, {"name": "Defence Research and Development Canada, Toronto, Ontario", "source_name": "Defence Research and Development Canada, Toronto, Ontario", "street_adddress": "1133 Sheppard Ave W, North York, ON M3K 2C9, Canada", "lat": "43.75107650", "lng": "-79.46945700", "type": "mil", "country": "Canada"}, {"name": "Defence Research and Development Canada, Valcartier, Quebec", "source_name": "Defence Research and Development Canada, Valcartier, Quebec", "street_adddress": "400 Cumberland St, Ottawa, ON K1N 1J8, Canada", "lat": "45.42826030", "lng": "-75.68804370", "type": "mil", "country": "Canada"}, {"name": "TNO, The Hague, Netherlands", "source_name": "TNO, The Hague, Netherlands", "street_adddress": "Anna van Buerenplein 1, 2595 DA Den Haag, Netherlands", "lat": "52.08227700", "lng": "4.32580700", "type": "edu", "country": "Netherlands"}, {"name": "UK Defence Science and Technology Laboratory, Porton, Salisbury, UK", "source_name": "UK Defence Science and Technology Laboratory, Porton, Salisbury, UK", "street_adddress": "Porton Down, Salisbury SP4 0JQ, UK", "lat": "51.13122970", "lng": "-1.70368420", "type": "mil", "country": "United Kingdom"}, {"name": "United States Air Force Research Laboratory, Dayton, OH", "source_name": "United States Air Force Research Laboratory, Dayton, OH", "street_adddress": "1864 4th St, Wright-Patterson AFB, OH 45433, USA", "lat": "39.79084110", "lng": "-84.09897580", "type": "mil", "country": "United States"}], "year": "2016", "pdf": ["http://www.dtic.mil/dtic/tr/fulltext/u2/1011094.pdf", "https://apps.dtic.mil/dtic/tr/fulltext/u2/1011094.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7496546"]}, {"id": "f43012db4836cf671a2a095413ba5ec6725e4a41", "title": "Deep TripletQuantization", "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": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f430/12db4836cf671a2a095413ba5ec6725e4a41.pdf"], "doi": []}, {"id": "ebe7eda4fd10caa326d57b93e8a1e2a13e09a403", "title": "TSCSet: A Crowdsourced Time-Sync Comment Dataset for Exploration of User Experience Improvement", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3172966"]}, {"id": "5ba8bb7d204e7a5a29a043792546577500e2e5c1", "title": "Background Appearance Modeling with Applications to Visual Object Detection in an Open-Pit Mine", "addresses": [{"name": "Queensland University of Technology", "source_name": "Queensland University of Technology", "street_adddress": "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5ba8/bb7d204e7a5a29a043792546577500e2e5c1.pdf"], "doi": []}, {"id": "48320a4be9cc741fdb28ad72f359c449e41309cc", "title": "Manga109 dataset and creation of metadata", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3011551"]}, {"id": "6701efa7f715b3c296843b8ff5414a6610711cf9", "title": "Semi-automatic image and video annotation system for generating ground truth information", "addresses": [{"name": "Korea Electronics Technology Institute", "source_name": "Korea Electronics Technology Institute", "street_adddress": "South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, \uc0c8\ub098\ub9ac\ub85c 25 (\uc57c\ud0d1\ub3d9) KETI \uc804\uc790\ubd80\ud488\uc5f0\uad6c\uc6d0", "lat": "37.40391700", "lng": "127.15978600", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8343233", "http://doi.ieeecomputersociety.org/10.1109/ICOIN.2018.8343233", "http://doi.org/10.1109/ICOIN.2018.8343233"]}, {"id": "1334d274bca9c94fed724ecfac7e36d3789aea38", "title": "ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector", "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": "Intel Corporation, Hillsboro, OR, USA", "source_name": "Intel Corporation, Hillsboro, OR, USA", "street_adddress": "6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA", "lat": "45.55236000", "lng": "-122.91429880", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.05810.pdf"], "doi": []}, {"id": "632fa986bed53862d83918c2b71ab953fd70d6cc", "title": "What Face and Body Shapes Can Tell About Height", "addresses": [{"name": "EPFL", "source_name": "EPFL", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10355.pdf"], "doi": []}, {"id": "2bf41bf420c8d86dd1bffbacd28c70fa8b12b6dd", "title": "Counting the uncountable: deep semantic density estimation from Space", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07091.pdf"], "doi": []}, {"id": "e4845fb1e624965d4f036d7fd32e8dcdd2408148", "title": "YOLOv3: An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02767.pdf"], "doi": []}, {"id": "663617c728b18e333acb5279e9b1095eeda9287e", "title": "The 2018 DAVIS Challenge on Video Object Segmentation-CVPR 2018 Workshops", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bd1c/72de32b9dafc2c8b392ed26a9977af62fe58.pdf"], "doi": []}, {"id": "fb0bbbc159dad0113f5d01ac736945feeced1247", "title": "Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499460", "http://doi.org/10.1109/BigMM.2018.8499460"]}, {"id": "15147ca5866dc5fbcfa0d91259798599004d051d", "title": "CO-FILTERING HUMAN INTERACTION AND OBJECT SEGMENTATION A Degree Thesis Submitted to the Faculty of the Escola Te\u0300cnica d'Enginyeria de Telecomunicacio\u0301 de Barcelona", "addresses": [{"name": "Universitat Polit\u00e8cnica de Catalunya", "source_name": "Universitat Polit\u00e8cnica de Catalunya", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1514/7ca5866dc5fbcfa0d91259798599004d051d.pdf"], "doi": []}, {"id": "6d880f543e583cf1ba4333be7f3845de4dcbda64", "title": "Recursive Visual Attention in Visual Dialog", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02664.pdf"], "doi": []}, {"id": "cba8b9949e71ff485a4ecba33128e2f206651cac", "title": "An RGBD segmentation model for robot vision learned from synthetic data", "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://pdfs.semanticscholar.org/cba8/b9949e71ff485a4ecba33128e2f206651cac.pdf"], "doi": []}, {"id": "b93cd1e6f1aee81f4f94452c0091d11ee0cb8af3", "title": "Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications", "addresses": [{"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.11078.pdf"], "doi": []}, {"id": "4c33746fc5688da61059daa93978ac887f04cce8", "title": "Trainable performance upper bounds for image and video captioning", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e97f/10c2a4d7edac33597692e6dc243bd86adf10.pdf"], "doi": []}, {"id": "c682ff7a573082c5b69880c4bf84cdd464b70ae5", "title": "Dial2Desc: End-to-end Dialogue Description Generation", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00185.pdf"], "doi": []}, {"id": "3899b49ca98a134fb9d33feab458f2092da32096", "title": "Faster Bounding Box Annotation for Object Detection in Indoor Scenes", "addresses": [{"name": "Sandvik Mining and Construction Oyj, Tampere, Finland", "source_name": "Sandvik Mining and Construction Oyj, Tampere, Finland", "street_adddress": "Pihtisulunkatu 9, 33330 Tampere, Finland", "lat": "61.50907030", "lng": "23.57149070", "type": "company", "country": "Finland"}, {"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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611732"]}, {"id": "2dda7f46bbb8684a3a497dd40aabd4d759a62386", "title": "YouCookII Dataset", "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": "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"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2dda/7f46bbb8684a3a497dd40aabd4d759a62386.pdf"], "doi": []}, {"id": "93b689145277f7594e4bc0af2ffec5d3a31cc1fa", "title": "Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8594223"]}, {"id": "14198efb1ea9d1c621dcac44e9c5aad349c0d69f", "title": "Learning to Segment Human by Watching YouTube", "addresses": [{"name": "Adobe Research, San Jose, CA", "source_name": "Adobe Research, San Jose, CA 95110, USA", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "company", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "SnapChat Inc., Venice, CA", "source_name": "SnapChat Inc., Venice, CA", "street_adddress": "2772 Donald Douglas Loop N, Santa Monica, CA 90405, USA", "lat": "34.01629660", "lng": "-118.45349590", "type": "company", "country": "United States"}, {"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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7534869"]}, {"id": "72976d066d38d3d378d75dcf1467b0a295acad6b", "title": "iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.10437.pdf"], "doi": []}, {"id": "7fda1edac608bc67e55ac3d7c9dc5a542d8f8aee", "title": "Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01847.pdf"], "doi": []}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "addresses": [{"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"], "doi": []}, {"id": "e772c6ea8a30ec21c3ede6c8abfd540621174fc2", "title": "Semi- and weakly-supervised human pose estimation", "addresses": [{"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "Nara Institute of Science and Technology, Japan", "source_name": "Nara Institute of Science and Technology, Japan", "street_adddress": "8916\u756a\u5730\u2212\uff15 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan", "lat": "34.73211210", "lng": "135.73285850", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://www.toyota-ti.ac.jp/Lab/Denshi/iim/ukita/MyPapers/CVIU2018_Pose_preprint.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2018.02.003"]}, {"id": "94d177db3f198a3571576e562b4d3d9e816eb3cf", "title": "Dynamic Object Scanning: Object-Based Elastic Timeline for Quickly Browsing First-Person Videos", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3186501"]}, {"id": "4a9831e5fec549edee454709048a51997ef60fb7", "title": "Did the Model Understand the Question?", "addresses": [{"name": "University of Chicago", "source_name": "THE UNIVERSITY OF CHICAGO", "street_adddress": "University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78468745", "lng": "-87.60074933", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05492.pdf"], "doi": []}, {"id": "6f71862aa00d61fc8fd7f205de35ee8af458ec0c", "title": "Semi-supervised Learning of Instance-level Recognition from Video", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6f71/862aa00d61fc8fd7f205de35ee8af458ec0c.pdf"], "doi": []}, {"id": "c41e483fee61e5040eeb49859a481352f8e3f8ac", "title": "TOWARDS BETTER UNDERSTANDING OF DEEP LEARNING WITH VISUALIZATION by HAIPENG ZENG", "addresses": [{"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c41e/483fee61e5040eeb49859a481352f8e3f8ac.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "9a6268d2bc1221ea154097feadea0c58f234d02f", "title": "Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering", "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": "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": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.06794.pdf"], "doi": []}, {"id": "44674b020e9ce46b16ffb72952a7cacb40d01657", "title": "Depth-aware neural style transfer", "addresses": [{"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}, {"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3092924"]}, {"id": "bce963c494ccce1c66757e69993f578c37564f6d", "title": "Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect?", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08097.pdf"], "doi": []}, {"id": "8dcc95debd07ebab1721c53fa50d846fef265022", "title": "MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images", "addresses": [{"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": "2017", "pdf": ["https://arxiv.org/pdf/1711.07011.pdf"], "doi": []}, {"id": "3ff40f0760bd8d3c46d72147b0f5b0d4aee2a24f", "title": "AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06475.pdf"], "doi": []}, {"id": "e7d6fc6daf70a30993b57efff9a259bd418c5c91", "title": "Infrared and Visible Image Fusion with ResNet and zero-phase component analysis", "addresses": [{"name": "University of Strathclyde", "source_name": "Centre for excellence in Signal and Image Processing, University of Strathclyde, Glasgow, UK", "street_adddress": "16 Richmond St, Glasgow G1 1XQ, UK", "lat": "55.86212200", "lng": "-4.24228510", "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": "2018", "pdf": ["https://arxiv.org/pdf/1806.07119.pdf"], "doi": []}, {"id": "74875368649f52f74bfc4355689b85a724c3db47", "title": "Object detection by labeling superpixels", "addresses": [{"name": "National Laboratory of Pattern Recognition, Chinese Academy of Sciences", "source_name": "National Laboratory of Pattern Recognition, Institute of Automation of Chinese, Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_072.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_072_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299146", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299146", "http://doi.org/10.1109/CVPR.2015.7299146"]}, {"id": "01cb4071a0a43aeef63e5d568ad5afe1fb8b2411", "title": "Domain Separation Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/01cb/4071a0a43aeef63e5d568ad5afe1fb8b2411.pdf"], "doi": []}, {"id": "54b5aab87dbe38803935789c4d730bd203d198a1", "title": "3D Human Pose Estimation in RGBD Images for Robotic Task Learning", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462833"]}, {"id": "09a4f1b7afd8d5f6854b23f0aa9e80b9a0fa6d20", "title": "Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition", "addresses": [{"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04158.pdf"], "doi": []}, {"id": "f9a14264ca328cfbd817c7458eee5b18592e5d54", "title": "Feature Fusion for Weakly Supervised Object Localization", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623227"]}, {"id": "ab0715642330502d5efca948e4753651cb004d84", "title": "Soft-NMS \u2014 Improving Object Detection with One Line of Code", "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/1704.04503.pdf"], "doi": []}, {"id": "86c158ef6caaf247d5d14e07c5edded0147df8b7", "title": "Spatial Memory for Context Reasoning in Object 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": "2017", "pdf": ["https://arxiv.org/pdf/1704.04224.pdf"], "doi": []}, {"id": "adc55a30b17060d68b5092dfaba52243e39c68f5", "title": "Meaningful maps with object-oriented semantic mapping", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8206392"]}, {"id": "3d5575e9ba02128d94c20330f4525fc816411ec2", "title": "Learning Video Object Segmentation from Static Images", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02646.pdf"], "doi": []}, {"id": "089513ca240c6d672c79a46fa94a92cde28bd567", "title": "RNN Fisher Vectors for Action Recognition and Image Annotation", "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"}, {"name": "IBM Research, Haifa, Israel", "source_name": "IBM Research - Haifa, Israel", "street_adddress": "\u05e7\u05de\u05e4\u05d5\u05e1 \u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, Israel", "lat": "32.76526220", "lng": "35.01576130", "type": "company", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.03958.pdf"], "doi": []}, {"id": "8f1fcd6c3007f48eafeddf5f517c1197b2aab9cc", "title": "DPRed: Making Typical Activation and Weight Values Matter In Deep Learning Computing.", "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/1804.06732.pdf"], "doi": []}, {"id": "c0d5fa2e57646f2cc7dbb9633261af7d20f8a51e", "title": "Joint Global and Co-Attentive Representation Learning for Image-Sentence Retrieval", "addresses": [{"name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240535"]}, {"id": "7ec16949adf6ea78054f6c6512f332a86960b91f", "title": "Computer Vision \u2013 ECCV 2016", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "RWTH Aachen, Aachen, Germany", "source_name": "RWTH Aachen, Aachen, Germany", "street_adddress": "Templergraben 55, 52062 Aachen, Germany", "lat": "50.78007780", "lng": "6.06568690", "type": "edu", "country": "Germany"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-46475-6"]}, {"id": "277bfd1bc89044b4a523ef23f48bd053d5560657", "title": "Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08832.pdf"], "doi": []}, {"id": "3e6d2e963f9a1b417871327f648d16f2c66a4068", "title": "Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation", "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://pdfs.semanticscholar.org/3e6d/2e963f9a1b417871327f648d16f2c66a4068.pdf"], "doi": []}, {"id": "cda6d9b0cc1509ec61a43e24e9b7a14b18642aca", "title": "Convolutional Neural Networks combined with Runge-Kutta Methods", "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"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08831.pdf"], "doi": []}, {"id": "9a8662189388dd84ce1ec6e90d103959a4132a95", "title": "Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification", "addresses": [{"name": "Saarbr\u00fccken, Saarland, Germany", "source_name": "Saarbr\u00fccken, Saarland, Germany", "street_adddress": "Saarbr\u00fccken, Germany", "lat": "49.24015720", "lng": "6.99693270", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8036272"]}, {"id": "33bcc97b605f00145098d095be2841a1fa6b9a95", "title": "Order-Embeddings of Images and Language", "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.06361.pdf"], "doi": []}, {"id": "126e5a90e12aee34d33e6d301ab9533acf03c199", "title": "Multi-style Generative Network for Real-Time Transfer", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06953.pdf"], "doi": []}, {"id": "9c1f5547d98f5390e2389ce40668da83a9830487", "title": "Non-parametric Structured Output Networks", "addresses": [{"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9c1f/5547d98f5390e2389ce40668da83a9830487.pdf"], "doi": []}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "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": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "414315d44a489d09c6e1933033ffba6396974ee1", "title": "Video Visual Relation Detection", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123380"]}, {"id": "d182c6d9ac4777b5ad73afdd64b7b68d76037212", "title": "Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00260.pdf"], "doi": []}, {"id": "7f33a5fcc5db4625c66972f0e6f06540b64d4f1e", "title": "Image Surveillance Assistant Architecture : Status and Planned Extensions", "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"}, {"name": "Naval Research Laboratory", "source_name": "Naval Research Laboratory", "street_adddress": "Naval Research Laboratory Post Office, 4555, Overlook Avenue Southwest, Washington, D.C., 20375, USA", "lat": "38.82313810", "lng": "-77.01789020", "type": "mil", "country": "United States"}, {"name": "Fayetteville State University", "source_name": "Fayetteville State University", "street_adddress": "1200 Murchison Rd, Fayetteville, NC 28301, USA", "lat": "35.07422060", "lng": "-78.89248960", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f33/a5fcc5db4625c66972f0e6f06540b64d4f1e.pdf"], "doi": []}, {"id": "c0e4b6a993a35ded0d17a5e751bd135b795244ae", "title": "Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www3.cs.stonybrook.edu/~cvl/content/papers/2016/LSS_ECCV16.pdf", "http://www3.cs.stonybrook.edu/~minhhoai/papers/LSS_ECCV16.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-46466-4_49"]}, {"id": "237c0c0749aaab0f73ec0641bef2453714da3099", "title": "An Efficient Hierarchical Convolutional Neural Network for Traffic Object Detection", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500640"]}, {"id": "87697847062e7eefec99a8c3aec888e3eef5e5b9", "title": "Unsupervised Learning of Spoken Language with Visual Context", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8769/7847062e7eefec99a8c3aec888e3eef5e5b9.pdf"], "doi": []}, {"id": "15908912ce3943fc5ec281c1cbf062722cb114d7", "title": "Dynamic Graph Modules for Modeling Higher-Order Interactions in Activity Recognition", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "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": "2018", "pdf": ["https://arxiv.org/pdf/1812.05637.pdf"], "doi": []}, {"id": "60542b1a857024c79db8b5b03db6e79f74ec8f9f", "title": "Learning to Detect Human-Object Interactions", "addresses": [{"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": "2018", "pdf": ["https://arxiv.org/pdf/1702.05448.pdf"], "doi": []}, {"id": "41d9719922c81d14f2a39392285c5789f5ea4282", "title": "Head and Body Orientation Estimation Using Convolutional Random Projection Forests", "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": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8219761"]}, {"id": "6459cf454b87fded65a223a30341e5304519a6aa", "title": "Integrated Object Detection and Tracking with Tracklet-Conditioned Detection", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11167.pdf"], "doi": []}, {"id": "7f836c047bc86d52e3a28098b53311cb2186acaa", "title": "Deep Compositional Question Answering with Neural Module Networks", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7f83/6c047bc86d52e3a28098b53311cb2186acaa.pdf"], "doi": []}, {"id": "5f5068645a5cebf923093542302c1fa21e387cee", "title": "ChipGAN: A Generative Adversarial Network for Chinese Ink Wash Painting Style Transfer", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240655"]}, {"id": "84ed65bda3de8a17526a0ad06ae3777fbbbeef20", "title": "Adapting Object Detectors from Images to Weakly Labeled Videos", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/84ed/65bda3de8a17526a0ad06ae3777fbbbeef20.pdf"], "doi": []}, {"id": "f85be6a31b74d6da6f490635d314306d77d0b6c7", "title": "Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog", "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/1802.03881.pdf"], "doi": []}, {"id": "bf8e413869e96afa15ef3ff884cc7739eafa8308", "title": "Deep conditional neural network for image segmentation", "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": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552924", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552924", "http://doi.org/10.1109/ICME.2016.7552924"]}, {"id": "7dcaf1ef07a593a987f3b529c2ad1e977c0c7196", "title": "Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01452.pdf"], "doi": []}, {"id": "1bfc74bad04b407d1792a70d73a3f5dc0be0506d", "title": "Cross-Dataset Adaptation for Visual Question Answering", "addresses": [{"name": "U. of Southern California", "source_name": "U. of Southern California", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03726.pdf"], "doi": []}, {"id": "516d57bbd02a6938a99b45691a3d7864c2fdc70a", "title": "DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification", "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": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.11478.pdf"], "doi": []}, {"id": "d0a934ef5b4edf7ebdc2276048534e4c9acf5a76", "title": "Person Retrieval in Surveillance Video using Height, Color and Gender", "addresses": [{"name": "L. D. College of Engineering, India", "source_name": "L. D. College of Engineering, India", "street_adddress": "120, Circular Road, University Area, Ahmedabad, Gujarat 380015, India", "lat": "23.03380000", "lng": "72.54658400", "type": "edu", "country": "India"}, {"name": "Ahmedabad University", "source_name": "Ahmedabad University", "street_adddress": "School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India", "lat": "23.03787430", "lng": "72.55180046", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8639145"]}, {"id": "ce9287a47f00d06ef75fe3ace9adbd7691b6e844", "title": "Large-Scale Visual Relationship Understanding", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.10660.pdf"], "doi": []}, {"id": "c7132da9421bfa06fbc859d6c3d6e621bd7bf472", "title": "Multimodal Deep Embedding via Hierarchical Grounded Compositional Semantics", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Binghamton University", "source_name": "Binghamton University", "street_adddress": "Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA", "lat": "42.09580770", "lng": "-75.91455689", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7562283"]}, {"id": "c8b592fcf2ed2f75799b94c428d2ccdf1e82c5f7", "title": "RUC-Tencent at ImageCLEF 2015: Concept Detection, Localization and Sentence Generation", "addresses": [{"name": "Renmin University of China", "source_name": "Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, 100872, China", "street_adddress": "59 Zhongguancun St, Haidian Qu, China, 100872", "lat": "39.96960620", "lng": "116.31881450", "type": "edu", "country": "China"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c8b5/92fcf2ed2f75799b94c428d2ccdf1e82c5f7.pdf"], "doi": []}, {"id": "ea8c1ac5a1594d6441d10914e0ccc4bd3e9eadfa", "title": "Anchor Box Optimization for Object Detection", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00469.pdf"], "doi": []}, {"id": "d4a7259340ece685b9dacb390eea10c6684a05b3", "title": "Object Detection based on Region Decomposition and Assembly", "addresses": [{"name": "Incheon National University", "source_name": "Incheon National University, Incheon, South Korea", "street_adddress": "119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea", "lat": "37.37505480", "lng": "126.63289980", "type": "edu", "country": "South Korea"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08225.pdf"], "doi": []}, {"id": "c733e4a14b51623120da9b4571b4409bc99ab0cd", "title": "Mainstream: Dynamic Stem-Sharing for Multi-Tenant Video Processing", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2d64/9992d78efd47b22c9a4dcb52386a951b54ea.pdf"], "doi": []}, {"id": "4328ec9d98eff5d7eb70997f76d81b27849f3220", "title": "Scalable, High-Quality Object Detection", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "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": "2014", "pdf": ["https://arxiv.org/pdf/1412.1441.pdf"], "doi": []}, {"id": "e304e516fd4e1499b616f120795600eb688fa93e", "title": "People and Vehicles in Danger - A Fire and Flood Detection System in Social Media", "addresses": [{"name": "CERTH-ITI, Thessaloniki, Greece", "source_name": "CERTH-ITI, Thessaloniki, Greece", "street_adddress": "Thermi 570 01, Greece", "lat": "40.56676110", "lng": "22.99801470", "type": "edu", "country": "Greece"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8448732", "http://doi.org/10.1109/IVMSPW.2018.8448732"]}, {"id": "438d4c181362386590eb703c3b65934a6acbbbdc", "title": "A Multi-Oriented Scene Text Detector with Position-Sensitive Segmentation", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3206043"]}, {"id": "29b1a44d1e1ffa05c2bf7f4be931c5045f427718", "title": "ON GENERIC OBJECT RECOGNITION TECHNIQUES : CHALLENGES AND OPPORTUNITIES Prof", "addresses": [{"name": "Nirma University", "source_name": "Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India", "street_adddress": "Sarkhej-Gandhinagar Highway, Gota, Ahmedabad, Gujarat 382481, India", "lat": "23.12838620", "lng": "72.54485080", "type": "edu", "country": "India"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/29b1/a44d1e1ffa05c2bf7f4be931c5045f427718.pdf"], "doi": []}, {"id": "0005a23c0db792ac9d0f5d408c39240ffe4c1d57", "title": "Understanding Fake Faces", "addresses": [{"name": "Waseda University", "source_name": "Waseda University", "street_adddress": "\u65e9\u7a32\u7530\u5927\u5b66 \u5317\u4e5d\u5dde\u30ad\u30e3\u30f3\u30d1\u30b9, 2-2, \u6709\u6bdb\u5f15\u91ce\u7dda, \u516b\u5e61\u897f\u533a, \u5317\u4e5d\u5dde\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 808-0135, \u65e5\u672c", "lat": "33.88987280", "lng": "130.70856205", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08391.pdf"], "doi": []}, {"id": "f660ea723b62f69b9f4c439724a6b73357e1d3c3", "title": "Survey on the attention based RNN model and its applications in computer vision", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.06823.pdf"], "doi": []}, {"id": "057d5f66a873ec80f8ae2603f937b671030035e6", "title": "Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04048.pdf"], "doi": []}, {"id": "05fa7085663bbbd1057c0d240158091930c59c6a", "title": "MovieQA: Understanding Stories in Movies through Question-Answering", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02902.pdf"], "doi": []}, {"id": "2fe87224a5b8db29f72936c1cae17389e1c553ad", "title": "ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06815.pdf"], "doi": []}, {"id": "bb9e418469d018be7f5ac2c4b2435ccac50088a3", "title": "Deep Learning\u2013Based Multimedia Analytics: A Review", "addresses": [{"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3279952"]}, {"id": "4634bf44a0c994e2bed89686225f8cef601a0224", "title": "NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain", "addresses": [{"name": "Lister Hill National Center for Biomedical Communications", "source_name": "Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA", "street_adddress": "8600 Rockville Pike, Bethesda, MD 20894, USA", "lat": "38.99595080", "lng": "-77.09883230", "type": "gov", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4634/bf44a0c994e2bed89686225f8cef601a0224.pdf"], "doi": []}, {"id": "59f357015054bab43fb8cbfd3f3dbf17b1d1f881", "title": "Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf"], "doi": []}, {"id": "1687d0120e937d5efe2022cbeab19b38edba0608", "title": "A 2 A : Attention to Attention Reasoning for Movie Question Answering", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1687/d0120e937d5efe2022cbeab19b38edba0608.pdf"], "doi": []}, {"id": "dbf777403156adda2d551a973379edd3e2bc5aaa", "title": "Interpretable Explanations of Black Boxes by Meaningful Perturbation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03296.pdf"], "doi": []}, {"id": "4d925db7c9e3cca2e8fed644f750d218a48cd081", "title": "Automatic Concept Discovery from Parallel Text and Visual Corpora", "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": "2015", "pdf": ["https://arxiv.org/pdf/1509.07225.pdf"], "doi": []}, {"id": "d2b2cb1d5cc1aa30cf5be7bcb0494198934caabb", "title": "A Restricted Visual Turing Test for Deep Scene and Event Understanding", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01715.pdf"], "doi": []}, {"id": "07ca470ed3be3a476b6fc1917bbbf4182846d1db", "title": "Transforming sensor data to the image domain for deep learning \u2014 An application to footstep detection", "addresses": [{"name": "University of Fribourg", "source_name": "University of Fribourg", "street_adddress": "Avenue de l'Europe 20, 1700 Fribourg, Switzerland", "lat": "46.80635700", "lng": "7.15200600", "type": "edu", "country": "Switzerland"}, {"name": "TU Kaiserslautern, Germany", "source_name": "TU Kaiserslautern, Germany", "street_adddress": "Erwin-Schr\u00f6dinger-Stra\u00dfe 52, 67663 Kaiserslautern, Germany", "lat": "49.42538910", "lng": "7.75531960", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01077.pdf"], "doi": []}, {"id": "9dde6ed569684356c46217fa53224272b668bae8", "title": "Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07613.pdf"], "doi": []}, {"id": "eff328e0ecfb9a7a2d6664ee38aa32a61c7b9f42", "title": "Visual Question Reasoning on General Dependency Tree", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00105.pdf"], "doi": []}, {"id": "6115445ca062b8f865f0b447c059813088b9dd49", "title": "A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering", "addresses": [{"name": "Polytechnique Montreal", "source_name": "Polytechnique Montr\u00b4eal", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07810.pdf"], "doi": []}, {"id": "c8e1c1a82b76d7bfd69c04ab6ab057bb946e262f", "title": "Towards Deep Cellular Phenotyping in Placental Histology", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03270.pdf"], "doi": []}, {"id": "1be7ecc7100bb5fdbcff7f5f6191a9b57165fa2c", "title": "Deep Learning for Classification of Colorectal Polyps on Whole-slide Images", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01550.pdf"], "doi": []}, {"id": "290941887c37547462285152ff82796ad71dd757", "title": "Snuba: Automating Weak Supervision to Label Training Data", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df8d/c49f33ac02e2f87aac8343869b2affaf4808.pdf"], "doi": []}, {"id": "71de9b3b8f482863d544da0f26ac2876b4fc210a", "title": "Who Are Raising Their Hands ? Hand-Raiser Seeking Based on Object Detection and Pose Estimation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/71de/9b3b8f482863d544da0f26ac2876b4fc210a.pdf"], "doi": []}, {"id": "cb3e91a4c800c60c3f734dd77a64ced7d81e570e", "title": "Grounded Objects and Interactions for Video Captioning", "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/1711.06354.pdf"], "doi": []}, {"id": "4e83df2bf849eb6af24bf919ddc7bb25c7249c39", "title": "Fusion that matters: convolutional fusion networks for visual recognition", "addresses": [{"name": "Leiden University", "source_name": "Leiden University, Leiden, The Netherlands", "street_adddress": "Rapenburg 70, 2311 EZ Leiden, Netherlands", "lat": "52.15714850", "lng": "4.48520900", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-5691-4"]}, {"id": "0e36ada8cb9c91f07c9dcaf196d036564e117536", "title": "Much Ado About Time: Exhaustive Annotation of Temporal Data", "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": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.07429.pdf"], "doi": []}, {"id": "d68a6bf394f8f6440426a84d8494e83d08aa1535", "title": "Automatic Portrait Segmentation for Image Stylization", "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": "2016", "pdf": ["http://xiaoyongshen.me/webpage_portrait/papers/portrait_eg16.pdf"], "doi": ["https://doi.org/10.1111/cgf.12814"]}, {"id": "db640eddc51258cf6b11e442745d9a4bd5d6995b", "title": "Simple Baselines for Human Pose Estimation and Tracking", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06208.pdf"], "doi": []}, {"id": "e1f041594fa37d407c80b28a13680a9ddc081c49", "title": "Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11232.pdf"], "doi": []}, {"id": "bb1dc1e9e9c20d99b55f37b9e635457af86a065f", "title": "Neural Ctrl-F: Segmentation-Free Query-by-String Word Spotting in Handwritten Manuscript Collections", "addresses": [{"name": "Uppsala University", "source_name": "Uppsala University, Uppsala, Sweden", "street_adddress": "Uppsala, 752 36 Uppsala, Sweden", "lat": "59.85090050", "lng": "17.63000930", "type": "edu", "country": "Sweden"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07645.pdf"], "doi": []}, {"id": "7902309d3c5ab2e1e3a1f08503dc39108e1639dc", "title": "Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01984.pdf"], "doi": []}, {"id": "211fe99400bde5116efea3b42719d00a34931dcd", "title": "Multimodal Differential Network for Visual Question Generation", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03986.pdf"], "doi": []}, {"id": "50ab5859994c76dd69f2ef6c770888408d9ae5d0", "title": "Intention Oriented Image Captions with Guiding Objects", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.07662.pdf"], "doi": []}, {"id": "fbe3ba628fa8435bf1ad4ed153c93109624b8dff", "title": "Understanding the Message of Images with Knowledge Base Traversals", "addresses": [{"name": "University of Mannheim", "source_name": "University of Mannheim, Mannheim, Germany", "street_adddress": "68131 Mannheim, Germany", "lat": "49.48371060", "lng": "8.46223330", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2970414"]}, {"id": "428017f7a6df4d667275c7ac9b3feba39b70e4ae", "title": "CNN-RNN: A Unified Framework for Multi-label Image Classification", "addresses": [{"name": "Horizon Robotics", "source_name": "Horizon Robotics", "street_adddress": "317 3F 1 Zhongguancun Street Haidian District Beijing, 100190 China", "lat": "39.97558000", "lng": "116.31126000", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04573.pdf"], "doi": []}, {"id": "857fb344977e5181bf5a99593ceba09a158d412c", "title": "VCI 2 R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task", "addresses": [{"name": "A*STAR", "source_name": "I2R, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/857f/b344977e5181bf5a99593ceba09a158d412c.pdf"], "doi": []}, {"id": "a799babbbd56a047feee85d09e57e2c240c5f50c", "title": "Image describing based on bidirectional LSTM and improved sequence sampling", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078733"]}, {"id": "d4ea0438b6c0479a7d7611130a0dc242a22f93eb", "title": "Pose2Instance: Harnessing Keypoints for Person Instance Segmentation", "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"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01152.pdf"], "doi": []}, {"id": "66652367a369d18e1845dd14220dc94a9748c9fd", "title": "Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification", "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": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"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": "2017", "pdf": ["https://arxiv.org/pdf/1702.05891.pdf"], "doi": []}, {"id": "6f44303f9664a4ceabd0f4bc74cb3886aad5012f", "title": "An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"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": ["https://arxiv.org/pdf/1809.06079.pdf"], "doi": []}, {"id": "d2796a0d1ba7ed9287a9db6f4714585b8508871f", "title": "Human Centred Object Co-Segmentation", "addresses": [{"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": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.03774.pdf"], "doi": []}, {"id": "68d96226fb71daad7d1a4ccbda267062244d9bc0", "title": "Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books", "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"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06724.pdf"], "doi": []}, {"id": "f9e3bef2ffec5bd1e62003a3f1d8f735265b4d2f", "title": "ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks", "addresses": [{"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"}, {"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/1810.07248.pdf"], "doi": []}, {"id": "5a546cd0e8622b32cfdfd0358041f7d7ab00b5d4", "title": "SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08596.pdf"], "doi": []}, {"id": "e0ffda149d1d81fff507953377e08cf4f718d8ae", "title": "Image Captioning with both Object and Scene Information", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984069"]}, {"id": "ee53c9480132fc0d09b1192226cb2c460462fd6d", "title": "Channel Pruning for Accelerating Very Deep Neural Networks", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06168.pdf"], "doi": []}, {"id": "2453dd38cde21f3248b55d281405f11d58168fa9", "title": "Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Multi-Scale_Patch_Aggregation_CVPR_2016_paper.pdf", "http://www.cse.cuhk.edu.hk/~leojia/papers/mpa_cvpr16.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_Multi-Scale_Patch_Aggregation_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780711", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.342", "http://doi.org/10.1109/CVPR.2016.342"]}, {"id": "0abd1a332717f540f1e3297a9eedd9633ad9c3a9", "title": "From UI Design Image to GUI Skeleton: A Neural Machine Translator to Bootstrap Mobile GUI Implementation", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3180240"]}, {"id": "51a03fe7cbcf5c650b5dbdba0bf14be8a45cbaee", "title": "Deep Triplet Quantization", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Tsinghua University & Beijing National Research Center for Information Science and Technology", "source_name": "Tsinghua University & Beijing National Research Center for Information Science and Technology, Beijing, China", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240516"]}, {"id": "85a65932f30b05532e259a99bd6a179af20ab267", "title": "HashNet: Deep Learning to Hash by Continuation", "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": "University of Illinois at Chicago", "source_name": "University of Illinois at Chicago", "street_adddress": "University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA", "lat": "41.86898915", "lng": "-87.64856256", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00758.pdf"], "doi": []}, {"id": "1ed5c62eec52380c285daf2ffa7576d96e4ac150", "title": "Modeling Image Virality with Pairwise Spatial Transformer Networks", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.07914.pdf"], "doi": []}, {"id": "6f1c84d5a137ad14e5de9a8728fced8044d05b79", "title": "SketchyScene: Richly-Annotated Scene Sketches", "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"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02473.pdf"], "doi": []}, {"id": "e8cda2c754670850ec722799640c6cb42dfb8199", "title": "4D Generic Video Object Proposals", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09260.pdf"], "doi": []}, {"id": "5abc8b9ac261f320cae1ce6676a3f05038b93436", "title": "Mixed Supervised Object Detection with Robust Objectness Transfer", "addresses": [{"name": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "source_name": "National Laboratory of Pattern Recognition (NLPR) of Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China", "street_adddress": "China, Beijing, Haidian, \u4e2d\u5173\u6751\u4e1c\u8def95\u53f7", "lat": "39.97920300", "lng": "116.33287000", "type": "edu", "country": "China"}, {"name": "University of Dundee", "source_name": "University of Dundee", "street_adddress": "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304628"]}, {"id": "645f09f4bc2e6a13663564ee9032ca16e35fc52d", "title": "Interactive Demonstration of Probabilistic Predicates", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3193542"]}, {"id": "397085122a5cade71ef6c19f657c609f0a4f7473", "title": "Using Segmentation to Predict the Absence of Occluded Parts", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db11/4901d09a07ab66bffa6986bc81303e133ae1.pdf"], "doi": []}, {"id": "60ac4be07ab4b20e1b9d0879e9553f05ec581867", "title": "LabelBank: Revisiting Global Perspectives for Semantic Segmentation", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09891.pdf"], "doi": []}, {"id": "0c2cb193274217855000c98a02488885571b55bc", "title": "TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01466.pdf"], "doi": []}, {"id": "a98b63516c7d45eadf8cf4045ea114918eb3b636", "title": "Selective Refinement Network for High Performance 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": "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/1809.02693.pdf"], "doi": []}, {"id": "6a9c3011b5092daa1d0cacda23f20ca4ae74b902", "title": "Fast and Accurate Person Re-Identification with RMNet.", "addresses": [{"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02465.pdf"], "doi": []}, {"id": "3361905a9ff903142e50d5b608f4775f1c5bac1a", "title": "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.11489.pdf"], "doi": []}, {"id": "02a5b7a41ffa8518eb3b7cae9914a2bd2bbc886b", "title": "Fast Online Object Tracking and Segmentation: A Unifying Approach", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05050.pdf"], "doi": []}, {"id": "7e163ae363b62b708566f348da87750284860822", "title": "Weakly-Supervised Spatial Context 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"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02998.pdf"], "doi": []}, {"id": "e4d4346bd415c6fa9187c16a9b7f5c69f48f1ec4", "title": "Towards High Performance Video Object Detection for Mobiles", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.05830.pdf"], "doi": []}, {"id": "0ec03a13063e5811ec9461cf7af04f4f3110ccaa", "title": "Visual Question Answering with Question Representation Update (QRU)", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/2695/46925f0fd457b31c13c2870343b0aed761dc.pdf"], "doi": []}, {"id": "0f1c436aa7b1194e8660f7352315497c38ade853", "title": "GANtruth - an unpaired image-to-image translation method for driving scenarios", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01710.pdf"], "doi": []}, {"id": "be22647956f1bc8cf6f936ae3c85f5637492b6b8", "title": "Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Sharmanska_Ambiguity_Helps_Classification_2016_CVPR_supplemental.pdf", "http://sro.sussex.ac.uk/60510/1/Sharmanska_Ambiguity_Helps_Classification_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780610", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.241", "http://doi.org/10.1109/CVPR.2016.241"]}, {"id": "fa5ab04ebf64de3bd57bd0729ce9ca3440258acc", "title": "Unprecedented Usage of Pre-trained CNNs on Beauty Product", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3266433"]}, {"id": "9c2e5e2ba7c5b3a555c6c72f518e3631aab23c19", "title": "RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06612.pdf"], "doi": []}, {"id": "1daaeae28270b06962eb6fcf812a368892b5dff4", "title": "Modeling Visual Context Is Key to Augmenting Object Detection Datasets", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07428.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "41aa209e9d294d370357434f310d49b2b0baebeb", "title": "Beyond caption to narrative: Video captioning with multiple sentences", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05440.pdf"], "doi": []}, {"id": "21c99706bb26e9012bfb4d8d48009a3d45af59b2", "title": "Neural Module Networks", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02799.pdf"], "doi": []}, {"id": "97ccbe3440e5a574b37753ff49165c7ee97a6eb4", "title": "Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects.", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12152.pdf"], "doi": []}, {"id": "2a4bf8d096ea9b6a84ebb6cecf98589a76806777", "title": "Evaluation of Segmentation Quality via Adaptive Composition of Reference Segmentations", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami16_segmentation_evaluation.pdf", "http://faculty.ucmerced.edu/mhyang/papers/pami17_segmentation_evaluation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7723880", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2622703", "http://doi.org/10.1109/TPAMI.2016.2622703", "https://www.ncbi.nlm.nih.gov/pubmed/27810800"]}, {"id": "7c4fdcda302b93c0a275420ddd6e249c565173ff", "title": "VISIR: Visual and Semantic Image Label Refinement", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3159693"]}, {"id": "a34de6e26cf34257d6c2fdc9a1801aea46c00b08", "title": "Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport", "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": [], "doi": ["http://dl.acm.org/citation.cfm?id=3220012"]}, {"id": "b181ae8ed315ceb8f03332ba02ef0849adbe5b4c", "title": "Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language Queries", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00303.pdf"], "doi": []}, {"id": "a213405441c68a0ce415a4a842bdd6ac62c1667b", "title": "Enhancement of SSD by concatenating feature maps for object detection.", "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": "2017", "pdf": ["https://arxiv.org/pdf/1705.09587.pdf"], "doi": []}, {"id": "0e08cf0b19f0600dadce0f6694420d643ea9828b", "title": "The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals", "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": "Oregon State University", "source_name": "Oregon State University", "street_adddress": "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "lat": "45.51982890", "lng": "-122.67797964", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Humayun_The_Middle_Child_ICCV_2015_paper.pdf", "http://web.engr.oregonstate.edu/~lif/Middle_Child_ICCV15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Humayun_The_Middle_Child_ICCV_2015_paper.pdf", "https://smartech.gatech.edu/bitstream/handle/1853/55478/The%20Middle%20Child%20Problem-%20Revisiting%20Parametric%20Min-cut%20and%20Seeds%20for%20Object%20Proposals.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410544", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.187", "http://doi.org/10.1109/ICCV.2015.187"]}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "5d165ff5b0b389e32809c17838a2afc218a91d62", "title": "Object Detectors Emerge in Deep Scene CNNs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6856.pdf"], "doi": []}, {"id": "dc9b95afcbd972d973f3ae29f05bbc8fa45d6a16", "title": "Learning deep structured network for weakly supervised change detection", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "ShanghaiTech University", "source_name": "ShanghaiTech University", "street_adddress": "Yueyang Rd, Xuhui Qu, Shanghai Shi, China", "lat": "31.20254500", "lng": "121.45308600", "type": "edu", "country": "China"}, {"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}, {"name": "Murdoch University", "source_name": "Murdoch University, Murdoch, WA, Australia", "street_adddress": "90 South St, Murdoch WA 6150, Australia", "lat": "-32.06651350", "lng": "115.83583130", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.02009.pdf"], "doi": []}, {"id": "9d62a78b006b09fe8f20eb7cb72e2b542cb5fbad", "title": "ImagineNet : Style Transfer from Fine Art to Graphical User Interfaces", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9d62/a78b006b09fe8f20eb7cb72e2b542cb5fbad.pdf"], "doi": []}, {"id": "0ac43cbd4c25994ea2687743c5b666d498831687", "title": "Robust Adversarial Perturbation on Deep Proposal-based Models", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05962.pdf"], "doi": []}, {"id": "95f74ce5a69fdcd2abda908724d2ab4977e72100", "title": "Using Syntax to Ground Referring Expressions in Natural Images", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10547.pdf"], "doi": []}, {"id": "01100c14d0a06376dbb0fae6fe7995f7b3aed8b6", "title": "Active learning for structured probabilistic models with histogram approximation", "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": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_030.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_030_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_030_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Sun_Active_Learning_for_2015_CVPR_paper.pdf", "https://filebox.ece.vt.edu/~dbatra/papers/slb_cvpr15.pdf", "https://www.cc.gatech.edu/~dbatra/papers/slb_cvpr15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298984", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298984", "http://doi.org/10.1109/CVPR.2015.7298984"]}, {"id": "a1b5b0697e46eecc9657954311828cc9b4113a26", "title": "Semantic Segmentation With Object Clique Potentials", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/fd6c/8c23edc6ce6bc97d44b6c739dcfe81b9dcc4.pdf"], "doi": []}, {"id": "ccd02b5cb6acee7db170c0fb7f4cf0dd64a8499f", "title": "Generation with Recursive Neural Networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ccd0/2b5cb6acee7db170c0fb7f4cf0dd64a8499f.pdf"], "doi": []}, {"id": "1cc85b17137c4d6d75e4c418976e7dceb3d7559e", "title": "Open Logo Detection Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01964.pdf"], "doi": []}, {"id": "cd7b872365cc5b5114e0ccb833e307e874a5c3aa", "title": "Video Object Segmentation with Language Referring Expressions", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08006.pdf"], "doi": []}, {"id": "1c0d70587340adc412c6e2afd71012d563c1e724", "title": "Could we create a training set for image captioning using automatic translation?", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi, Hacettepe \u00dcniversitesi, Ankara, T\u00fcrkiye", "source_name": "Bilgisayar Mühendisliği, Hacettepe Üniversitesi, Ankara, Türkiye", "street_adddress": "\u00dcniversiteler Mh., Hacettepe Beytepe Kamp\u00fcs\u00fc No:21, 06800 \u00c7ankaya/Ankara, Turkey", "lat": "39.87143010", "lng": "32.73636570", "type": "edu", "country": "Turkey"}, {"name": "Bilgisayar M\u00fchendisli\u011fi, Orta Doggu Teknik \u00dcniversitesi, Ankara, T\u00fcrkiye", "source_name": "Bilgisayar Mühendisliği, Orta Doggu Teknik Üniversitesi, Ankara, Türkiye", "street_adddress": "\u00dcniversiteler Mh., 06800 \u00c7ankaya/Ankara, Turkey", "lat": "39.89183900", "lng": "32.78334710", "type": "edu", "country": "Poland"}], "year": "2017", "pdf": ["http://users.metu.edu.tr/snermin/papers/siu2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960638", "http://doi.org/10.1109/SIU.2017.7960638"]}, {"id": "e0821e6bb9efb795b4593229e4eacd6d86cef7d9", "title": "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04310.pdf"], "doi": []}, {"id": "081307db6d8d709af26f49d24041086bb09abfd1", "title": "A general description generator for human activity images based on deep understanding framework", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "Guangxi University", "source_name": "Electronics and Information, Guangxi University", "street_adddress": "Chongwen Rd, Xixiangtang Qu, Nanning Shi, Guangxi Zhuangzuzizhiqu, China, 530001", "lat": "22.83760000", "lng": "108.28983900", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-015-2171-x"]}, {"id": "3b08ef7aa0cf9528da42b2b594b66e4a6f7fdb7f", "title": "Active Learning for Delineation of Curvilinear Structures", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.00747.pdf"], "doi": []}, {"id": "0e5d673111e398f6c083623e31c2f498f0bf7b5f", "title": "Resolving References to Objects in Photographs using the Words-As-Classifiers Model", "addresses": [{"name": "Bielefeld University", "source_name": "Bielefeld University", "street_adddress": "Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstra\u00dfe, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland", "lat": "52.02804210", "lng": "8.51148270", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.02125.pdf"], "doi": []}, {"id": "0910a4c470a410fac446f4026f7c8ef512ae7427", "title": "Hierarchical Question-Image Co-Attention for Visual Question Answering", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.00061.pdf"], "doi": []}, {"id": "431140620ecf6cbb7c4118a65f7f2b8f48089647", "title": "Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.08075.pdf"], "doi": []}, {"id": "8481d4160bf5a9c760b5c4de60c82f102492317b", "title": "Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02985.pdf"], "doi": []}, {"id": "8b5b8db6a2a2880c14894140ea70ceb5f96c3b9b", "title": "Learning a Text-Video Embedding from Incomplete and Heterogeneous Data", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02516.pdf"], "doi": []}, {"id": "0c2875bb47db3698dbbb3304aca47066978897a4", "title": "Recurrent Models for Situation Recognition", "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": "2017", "pdf": ["https://arxiv.org/pdf/1703.06233.pdf"], "doi": []}, {"id": "1eeca84f33079c6d7a95daf8994370b2d7a93443", "title": "Fingertip Detection and Tracking for Recognition of Air-Writing in Videos", "addresses": [{"name": "Indian Institute of Technology Bhubaneswar", "source_name": "Indian Institute of Technology Bhubaneswar, Bhubaneswar, India", "street_adddress": "Argul - Jatni Rd, Kansapada, Odisha 752050, India", "lat": "20.14389950", "lng": "85.67620330", "type": "edu", "country": "India"}, {"name": "Indian Institute of Technology Roorkee", "source_name": "Indian Institute of Technology, Roorkee", "street_adddress": "Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India", "lat": "29.86624610", "lng": "77.89587081", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03016.pdf"], "doi": []}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "84036eb97d011ed2d7c9e4eb14fa346b5347c0ad", "title": "Revisiting Pre-training: An Efficient Training Method for Image Classification", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09347.pdf"], "doi": []}, {"id": "2b0134725e7400f2211207fbe9bfb402b9fcacf3", "title": "Deep Attribute-preserving Metric Learning for Natural Language Object Retrieval", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123439"]}, {"id": "e959a426d02dd014c1346131ac38ed50114c17b7", "title": "A Focused Dynamic Attention Model for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01485.pdf"], "doi": []}, {"id": "5f94e354faeba1d330088b926d1f7886067bc93f", "title": "RefineNet : MultiPath Refinement Networks with Identity Mappings for High-Resolution Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5f94/e354faeba1d330088b926d1f7886067bc93f.pdf"], "doi": []}, {"id": "d42142285c46207a16bd4294e437d504e419a9b7", "title": "Varying image description tasks : spoken versus written descriptions", "addresses": [{"name": "Tilburg University", "source_name": "Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands", "street_adddress": "Warandelaan 2, 5037 AB Tilburg, Netherlands", "lat": "51.56314060", "lng": "5.04197360", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d421/42285c46207a16bd4294e437d504e419a9b7.pdf"], "doi": []}, {"id": "ccd99008d942b890cecd308a31ba61240eac9e54", "title": "Learning to Segment Every Thing", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.10370.pdf"], "doi": []}, {"id": "91c184e7fb0c7cce5319b8db85c1488b3861976f", "title": "Visual Question Answer Diversity", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b357/d44a34cc0f692b09a789802f5a905e12a726.pdf"], "doi": []}, {"id": "31c197a0e30f1aeb1414634968d1649e74cd8d0f", "title": "Deep correlation for matching images and text", "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"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_012.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_012_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_012_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Yan_Deep_Correlation_for_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298966", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298966", "http://doi.org/10.1109/CVPR.2015.7298966"]}, {"id": "5b8b27d1339d788eb3e0e96888c3633a7b92dc1e", "title": "Hierarchical Image Segmentation Ensemble for Objectness in RGB-D Images", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8116651"]}, {"id": "da437db062e751d49528914971ecdc868b557648", "title": "Improved Image Captioning via Policy Gradient optimization of SPIDEr", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00370.pdf"], "doi": []}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "b1db174463b0bbc54a61fcc83acfb89ad3e3d18f", "title": "Loss Functions for Multiset Prediction", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05246.pdf"], "doi": []}, {"id": "2ebadff3e2a573c947d49aba987e7917a9285ce5", "title": "Investigating the feature collection for semantic segmentation via single skip connection", "addresses": [{"name": "Ajou University", "source_name": "Ajou University", "street_adddress": "\uc544\uc8fc\ub300\ud559\uad50, \uc131\ud638\ub300\uad50, \uc774\uc758\ub3d9, \uc601\ud1b5\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16499, \ub300\ud55c\ubbfc\uad6d", "lat": "37.28300030", "lng": "127.04548469", "type": "edu", "country": "Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.08192.pdf"], "doi": []}, {"id": "f6ce7e947f1cfe75abda61f018c3ca7e38fceb20", "title": "NLE@MediaEval'17: Combining Cross-Media Similarity and Embeddings for Retrieving Diverse Social Images", "addresses": [{"name": "Naver Labs Europe, Meylan, France", "source_name": "Naver Labs Europe, Meylan, France", "street_adddress": "6 Chemin de Maupertuis, 38240 Meylan, France", "lat": "45.21739890", "lng": "5.79213490", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c352/159a5a280e2f7df34d9e8e1444c789e5b912.pdf"], "doi": []}, {"id": "bb6548b43c737dca642298c46ec4648a403e1b11", "title": "A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569822", "http://doi.org/10.1109/ITSC.2018.8569822"]}, {"id": "256623ff025f36d343588bcd0b966c1fd26afcf8", "title": "Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10860.pdf"], "doi": []}, {"id": "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "title": "Zero-Shot Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07113.pdf"], "doi": []}, {"id": "a3be1951ddb2fa2682385c7f22c2904f5c22a66d", "title": "Traffic-Sign Detection and Classification in the Wild", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Lehigh University", "source_name": "Lehigh University", "street_adddress": "Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA", "lat": "40.60680280", "lng": "-75.37824880", "type": "edu", "country": "United States"}, {"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://cg.cs.tsinghua.edu.cn/traffic-sign/0682.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Traffic-Sign_Detection_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780601", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.232", "http://doi.org/10.1109/CVPR.2016.232"]}, {"id": "012876a5f45da258675add1614ad7608a210141a", "title": "What are the Visual Features Underlying Human Versus Machine Vision?", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.02704.pdf"], "doi": []}, {"id": "c5f6ed9efc222fe2773135ffb4e5c567d98e64ea", "title": "Image Captioning with Word Level Attention", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451558", "http://doi.org/10.1109/ICIP.2018.8451558"]}, {"id": "bb4650130c460f413e97b0328624a485bf094967", "title": "Dynamic Lexicon Generation for Natural Scene Images", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bb46/50130c460f413e97b0328624a485bf094967.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "43cb50f669a0d492256d11c6cc4128ba0ce79a3e", "title": "Per-Pixel Feedback for improving Semantic Segmentation", "addresses": [{"name": "Indian Institute of Technology Roorkee", "source_name": "Indian Institute of Technology, Roorkee", "street_adddress": "Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India", "lat": "29.86624610", "lng": "77.89587081", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.02861.pdf"], "doi": []}, {"id": "e7928bd33d09fd00a588617736b102063ca9d070", "title": "A Non-Technical Survey on Deep Convolutional Neural Network Architectures", "addresses": [{"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02129.pdf"], "doi": []}, {"id": "ab6c09ee2e466ceef2492f16472aeb76cd34009a", "title": "Data Augmentation for Cnn-Based People Detection in Aerial Images", "addresses": [{"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "Feng Chia University", "source_name": "Feng Chia University", "street_adddress": "\u9022\u7532\u5927\u5b78, 100, \u6587\u83ef\u8def, \u897f\u5e73\u91cc, \u897f\u5c6f\u5340, \u81fa\u4e2d\u5e02, 40724, \u81fa\u7063", "lat": "24.18005755", "lng": "120.64836072", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8551501", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2018.8551501", "http://doi.org/10.1109/ICMEW.2018.8551501"]}, {"id": "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "title": "High performance and fast object detection in road environments", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310148", "http://doi.org/10.1109/IPTA.2017.8310148"]}, {"id": "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "title": "Semantic Image Segmentation via Deep Parsing Network", "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": "2015", "pdf": ["https://arxiv.org/pdf/1509.02634.pdf"], "doi": []}, {"id": "3fde03e7479f2fbff16f7849a2d038dbd29b1762", "title": "SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.01771.pdf"], "doi": []}, {"id": "2fa45a5b0421578a9a0d5124678dafc689e2bf82", "title": "Fake Sentence Detection as a Training Task for Sentence Encoding", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03840.pdf"], "doi": []}, {"id": "059582bee125512b127296364e7700ebd9f80436", "title": "Action-driven 3D indoor scene evolution", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "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"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2980223"]}, {"id": "c580b0a8dc655a8831ddbb7954bb929b1f236ebc", "title": "Looking deeper and transferring attention for image captioning", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China", "source_name": "Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China", "street_adddress": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-018-6228-6"]}, {"id": "537afabc561a2efa79a903f4859ca63e6592f340", "title": "Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06452.pdf"], "doi": []}, {"id": "ccd3dcbccae7d903608530bddf6381db8e723a7d", "title": "Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "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"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccd3/dcbccae7d903608530bddf6381db8e723a7d.pdf"], "doi": []}, {"id": "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "title": "Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird\u2019s \u2013Eye View", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Korea", "source_name": "Electronics and Telecommunications Research Institute, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539407", "http://doi.org/10.1109/ICTC.2018.8539407"]}, {"id": "52d9ad99874f6b76184ad9abe45e824a6568617b", "title": "Large-Scale Active Learning with Approximations of Expected Model Output Changes", "addresses": [{"name": "Friedrich Schiller University Jena", "source_name": "Computer Vision Group, Friedrich Schiller University Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/52d9/ad99874f6b76184ad9abe45e824a6568617b.pdf"], "doi": []}, {"id": "1eb4ea011a3122dc7ef3447e10c1dad5b69b0642", "title": "Contextual Visual Recognition from Images and Videos", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1eb4/ea011a3122dc7ef3447e10c1dad5b69b0642.pdf"], "doi": []}, {"id": "c5cfeac36fd9fc35de7752cd2c63939920eb1eb3", "title": "Dictionary-Guided Editing Networks for Paraphrase Generation", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08077.pdf"], "doi": []}, {"id": "72ff1a1dd7c24b51d40d2be7f337b9075bbb8d58", "title": "Where and Who? Automatic Semantic-Aware Person Composition", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01021.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "University of Nottingham Ningbo China", "source_name": "University of Nottingham Ningbo China", "street_adddress": "199 Taikang E Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.80344900", "lng": "121.56160900", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "3244699e06b145ffa65d0fbddb2ce6e5da889418", "title": "Do You See What I Mean? Visual Resolution of Linguistic Ambiguities", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1603.08079.pdf"], "doi": []}, {"id": "9e64582b644481a734b018304a22b536886ed024", "title": "ALFA: Agglomerative Late Fusion Algorithm for Object Detection", "addresses": [{"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Kazan Federal University", "source_name": "Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Russia", "street_adddress": "Kremlyovskaya St, 18, Kazan, Respublika Tatarstan, Russia, 420008", "lat": "55.79044700", "lng": "49.12143490", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545182", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545182", "http://doi.org/10.1109/ICPR.2018.8545182"]}, {"id": "c85340a0d428ff0b47f1a4d92fc92157cb7664f0", "title": "Multi-Label Music Genre Classification from Audio, Text and Images Using Deep Features", "addresses": [{"name": "Universitat Pompeu Fabra", "source_name": "Universitat Pompeu Fabra", "street_adddress": "Dip\u00f2sit de les Aig\u00fces, Carrer de Wellington, la Vila Ol\u00edmpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, Espa\u00f1a", "lat": "41.39044285", "lng": "2.18891949", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04916.pdf"], "doi": []}, {"id": "511fad07b943f088e487ea09ffc6c89114bb3c3e", "title": "Towards an Integrated Method of Detection and Description for Face Authentication System", "addresses": [{"name": "University of Ulsan", "source_name": "University of Ulsan, Korea", "street_adddress": "93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea", "lat": "35.54374110", "lng": "129.25628430", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8430774", "http://doi.org/10.1109/HSI.2018.8430774"]}, {"id": "6bd1f2782d6c8c3066d4e7d7e3afb995d79fa3dd", "title": "Deep Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Imagery", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6bd1/f2782d6c8c3066d4e7d7e3afb995d79fa3dd.pdf"], "doi": []}, {"id": "d09a3ec68311af4ebd3cbf7ed906aadffa94a464", "title": "Pedestrian Detection by Feature Selected Self-Similarity Features", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}, {"name": "Sichuan Open University", "source_name": "Engineering and Technology College, Sichuan Open University, Chengdu, China", "street_adddress": "\u4e00 Baiye Rd, Pixian, Chengdu Shi, Sichuan Sheng, China", "lat": "30.72886200", "lng": "103.96638100", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8286891", "http://doi.org/10.1109/ACCESS.2018.2803160"]}, {"id": "e096003fc0dad2a09334044ebcc01601fdc0afd6", "title": "Subitizing with Variational Autoencoders", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00257.pdf"], "doi": []}, {"id": "43c5be1f64e0135fb3d6e43a9c33caaaa58f7213", "title": "The Emotional Impact of Audio-Visual Stimuli", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/43c5/be1f64e0135fb3d6e43a9c33caaaa58f7213.pdf"], "doi": []}, {"id": "80fc9efde5bb28550d17363d882fd5bc6d805c26", "title": "Question Type Guided Attention in Visual Question Answering", "addresses": [{"name": "University of California, Irvine", "source_name": "University of California, Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02088.pdf"], "doi": []}, {"id": "4a9d906935c9de019c61aedc10b77ee10e3aec63", "title": "Cross Modal Distillation for Supervision Transfer", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.00448.pdf"], "doi": []}, {"id": "350af77e01e78e8e3534f42b80b5dd35a602e73c", "title": "Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning", "addresses": [{"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"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03476.pdf"], "doi": []}, {"id": "db0a4af734dab1854c2e8dfe499fe0e353226e45", "title": "Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object 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": "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": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/db0a/4af734dab1854c2e8dfe499fe0e353226e45.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "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/1611.05431.pdf"], "doi": []}, {"id": "6759fd391e3f8a1aea7673d617d3e1b04d069804", "title": "Pose Flow: Efficient Online Pose Tracking", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00977.pdf"], "doi": []}, {"id": "fa93e027e795e98405dc72f123aadebafc5d80d8", "title": "Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00287.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "4443d51f54a9df679efc5ae65115f60f8e58a1a0", "title": "Spott: On-the-Spot e-Commerce for Television Using Deep Learning-Based Video Analysis Techniques", "addresses": [{"name": "Ghent University - imec - MICT", "source_name": "Ghent University - imec - MICT, Korte Meer, Ghent", "street_adddress": "Miriam Makebaplein 1, 9000 Gent, Belgium", "lat": "51.04893030", "lng": "3.72886530", "type": "edu", "country": "Belgium"}, {"name": "Ghent University", "source_name": "Ghent University", "street_adddress": "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "lat": "51.04656190", "lng": "3.72791810", "type": "edu", "country": "Belgium"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3092834"]}, {"id": "a8fd9be2f7775b123f62094eadd59d18bbbef027", "title": "Peephole: Predicting Network Performance Before Training", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "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": "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/1712.03351.pdf"], "doi": []}, {"id": "812e11fc86e5d183337257978e5a0f26b5668218", "title": "Evaluating ResNeXt Model Architecture for Image Classification", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08700.pdf"], "doi": []}, {"id": "a71b99357b0952858f98867ed0cbc87738899e1a", "title": "ScratchDet : Training Single-Shot Object Detectors from Scratch", "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": "2018", "pdf": ["https://pdfs.semanticscholar.org/a71b/99357b0952858f98867ed0cbc87738899e1a.pdf"], "doi": []}, {"id": "faa3b7034b89c9ab7ca5360a14311f2fd36ef7b9", "title": "AutoFocus: Efficient Multi-Scale Inference", "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": "2018", "pdf": ["https://arxiv.org/pdf/1812.01600.pdf"], "doi": []}, {"id": "044e0d86e2db70d4c0b767bf0994913e90e105e3", "title": "Answer-Type Prediction for Visual Question Answering", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kafle_Answer-Type_Prediction_for_CVPR_2016_paper.pdf", "http://www.chriskanan.com/wp-content/uploads/Kafle2016.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kafle_Answer-Type_Prediction_for_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780907", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.538", "http://doi.org/10.1109/CVPR.2016.538", "http://scholarworks.rit.edu/cgi/viewcontent.cgi?article=1919&context=other"]}, {"id": "d5873c4f169227ab002366db3b55d1fede9f473f", "title": "Multi-modal deep feature learning for RGB-D object detection", "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"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://mcg.nju.edu.cn/publication/2017/xiangyang-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.07.026"]}, {"id": "a89e1fc2681a9a399cc5008ea34b5ec3fe7ca845", "title": "Improving Fast Segmentation With Teacher-Student Learning", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08476.pdf"], "doi": []}, {"id": "55af092ce75ade8a26d2afe97d57de2191d44b5f", "title": "Unsupervised Ensemble Regression", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02965.pdf"], "doi": []}, {"id": "5f94969b9491db552ffebc5911a45def99026afe", "title": "Multimodal Learning and Reasoning for Visual Question Answering", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5f94/969b9491db552ffebc5911a45def99026afe.pdf"], "doi": []}, {"id": "91a972eadf78f44bdc03cc5ebe27899091bc94e1", "title": "AutoMarkov DNNs for object classification", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900168", "http://doi.org/10.1109/ICPR.2016.7900168"]}, {"id": "55d1342900e0abc59495afd44cde0a0052367b42", "title": "Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection", "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/1808.01452.pdf"], "doi": []}, {"id": "267bd60e442d87c44eaae3290610138e63d663ab", "title": "PoseTrack: Joint Multi-person Pose Estimation and Tracking", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.07727.pdf"], "doi": []}, {"id": "6583d293734d56c9dd2a34ffa5887c6c323aacf5", "title": "Integrating Local Material Recognition with Large-Scale Perceptual Attribute Discovery", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01345.pdf"], "doi": []}, {"id": "bfce448a3409d87ba281de53ed696b09119f2ba9", "title": "Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01281.pdf"], "doi": []}, {"id": "66c6aebf10410a11623e32e23295213dfd7c557f", "title": "Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation", "addresses": [{"name": "TU Munich", "source_name": "Faculty of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, 85290, Germany", "street_adddress": "Mies-van-der-Rohe-Stra\u00dfe 15, 52074 Aachen, Germany", "lat": "50.77892190", "lng": "6.06563870", "type": "edu", "country": "Germany"}, {"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593993"]}, {"id": "267c8798a5c602dae05908b63f031dbdb81fc42b", "title": "Amodal Instance Segmentation", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.08202.pdf"], "doi": []}, {"id": "c1d1b1197667facd360196059796ab8cb7b46e96", "title": "PolyMapper: Extracting City Maps using Polygons", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01497.pdf"], "doi": []}, {"id": "a0a49f50d9b76ad4ba7ce5acd14a3d4b31a520d6", "title": "HiDDeN: Hiding Data With Deep Networks", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09937.pdf"], "doi": []}, {"id": "333f083671da1010cbb080c6ce607ed87c19d73d", "title": "Multiple Instance Learning Convolutional Neural Networks for object recognition", "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 Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.03155.pdf"], "doi": []}, {"id": "a2c97ced4981a4505a6aa7f26e1c499df98f525d", "title": "Shape and Pose Estimation for Closely Interacting Persons Using Multi-view Images", "addresses": [{"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}, {"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": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://www.yangangwang.com/papers/LI-SPE-2018-08.pdf"], "doi": ["http://doi.org/10.1111/cgf.13574"]}, {"id": "21819624b83b40586afce41c3c9ae7abf6c9a2ab", "title": "A vision-grounded dataset for predicting typical locations for verbs", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Saarland University", "source_name": "Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbr\u00fccken, Germany", "street_adddress": "66123 Saarbr\u00fccken, Germany", "lat": "49.25502840", "lng": "7.04097500", "type": "edu", "country": "Germany"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2181/9624b83b40586afce41c3c9ae7abf6c9a2ab.pdf"], "doi": []}, {"id": "744089e18ef246785cdec2875d2b3872ef1d71b6", "title": "Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.06370.pdf"], "doi": []}, {"id": "ff772950f66ac6a57f4201ce1f02f0013ccdc1bb", "title": "Receptive Field Block Net for Accurate and Fast Object Detection", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07767.pdf"], "doi": []}, {"id": "658c802890c7133e2ade778b5d88b68bcd0dca9c", "title": "Learning to Segment via Cut-and-Paste", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06414.pdf"], "doi": []}, {"id": "606cfdcc43203351dbb944a3bb3719695e557e37", "title": "Ex Paucis Plura : Learning Affordance Segmentation from Very Few Examples", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/606c/fdcc43203351dbb944a3bb3719695e557e37.pdf"], "doi": []}, {"id": "1bd9db88bdab930f0dd380942b65c1449383166b", "title": "Robot Classification of Human Interruptibility and a Study of Its Effects", "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": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3277902"]}, {"id": "83e5e6fc0f086017b3e099ec063df94f47427d2c", "title": "Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech", "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/1805.12589.pdf"], "doi": []}, {"id": "39836fbbcd2a664edb31119e88870c38b83df352", "title": "Adaptively Attending to Visual Attributes and Linguistic Knowledge for Captioning", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123391"]}, {"id": "c72e6992f44ce75a40f44be4365dc4f264735cfb", "title": "Story Understanding in Video 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/1807.11122.pdf"], "doi": []}, {"id": "25dba68e4db0ce361032126b91f734f9252cae7c", "title": "DeepSetNet: Predicting Sets with Deep Neural Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08998.pdf"], "doi": []}, {"id": "3a0f23dcb731762f9cc968d63385183b301eef89", "title": "Towards Segmenting Everything That Moves", "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": "2019", "pdf": ["https://arxiv.org/pdf/1902.03715.pdf"], "doi": []}, {"id": "8bce31108f598986558e9afb1061eb988ea4f3be", "title": "Automated Image Annotation based on YOLOv3", "addresses": [{"name": "Vilnius Gediminas Technical University", "source_name": "Vilnius Gediminas Technical University, Naugarduko g. 41-413, Vilnius LT-03227, Lithuania", "street_adddress": "Naugarduko g. 41, Vilnius 03227, Lithuania", "lat": "54.67377770", "lng": "25.26622250", "type": "edu", "country": "Lithuania"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8592167"]}, {"id": "fdbe50ca6741ddad66fb289960624627c6869cfc", "title": "Weakly Semi-Supervised Deep Learning for Multi-Label Image Annotation", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"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": "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"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7317747"]}, {"id": "1855818c492d5f42dbe14814e4dd9b5733d54790", "title": "Densely Connected Discriminative Correlation Filters for Visual Tracking", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Auckland University of Technology", "source_name": "Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand", "street_adddress": "31 Symonds St, Auckland, 1010, New Zealand", "lat": "-36.85444260", "lng": "174.76761040", "type": "edu", "country": "New Zealand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8359334"]}, {"id": "f857cdf601379064bde3d4738f40aed30e266dbf", "title": "Training Very Deep CNNs for General Non-Blind Deconvolution", "addresses": [{"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"}, {"name": "Union Visual Innovation Technology Co., Ltd., Shenzhen, China", "source_name": "Union Visual Innovation Technology Co., Ltd., Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8315039"]}, {"id": "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "title": "Comparison of Visual Datasets for Machine Learning", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://rvc.eng.miami.edu/Paper/2017/IRI17_Gauen.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102956", "http://doi.ieeecomputersociety.org/10.1109/IRI.2017.59", "http://doi.org/10.1109/IRI.2017.59", "http://ecommons.luc.edu/cgi/viewcontent.cgi?article=1148&context=cs_facpubs"]}, {"id": "8c4c723a74fe479c2b8af7d911817377dd6d85c9", "title": "Understanding Neural Networks Through Deep Visualization", "addresses": [{"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": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06579.pdf"], "doi": []}, {"id": "e0c3c1b9744a695cfeab11ceb23069c38844932c", "title": "Non-parametric human segmentation using support vector machine", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7430551"]}, {"id": "fe0edc34d9bdf51c1544a3f70e83917e5d917681", "title": "An End-to-End Quadrilateral Regression Network for Comic Panel Extraction", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240555"]}, {"id": "e431de776590f52a5ae2be2d71900136c91b7136", "title": "Towards a Robust Interactive and Learning Social Robot", "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": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e431/de776590f52a5ae2be2d71900136c91b7136.pdf"], "doi": []}, {"id": "474c8f4e31a51e2cb3c1e9fed83202b4483efb35", "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": [], "doi": ["http://doi.org/10.1007/978-3-030-01228-1"]}, {"id": "62a6220c8cb5b74e958870e52affd9e7542216fc", "title": "Street object detection / tracking for AI city traffic analysis", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397669"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "164f3b9740d9ceb14658237fddede0f86b5e0c47", "title": "Deep Category-Aware Semantic Edge 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": "", "pdf": ["https://pdfs.semanticscholar.org/1b61/41d3fbe8b97fd414ec931a47aa1d019347d9.pdf"], "doi": []}, {"id": "30f464c09779c6210397204901d025c0def1fe10", "title": "Deep Reasoning with Knowledge Graph for Social Relationship Understanding", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1807.00504.pdf"], "doi": []}, {"id": "64a5709d41f4c2ef0383cee9932e89bb58085588", "title": "Surgeon Technical Skill Assessment using Computer Vision based Analysis", "addresses": [{"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://pdfs.semanticscholar.org/64a5/709d41f4c2ef0383cee9932e89bb58085588.pdf"], "doi": []}, {"id": "0c65245bff0004961a5173709400479addbb9ee1", "title": "SemanticFusion: Dense 3D semantic mapping with convolutional neural networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989538"]}, {"id": "24e680c5e7f59b72984ebc344dfba0f9573fb38c", "title": "On the difficulty of a distributional semantics of spoken language", "addresses": [{"name": "Tilburg University", "source_name": "Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands", "street_adddress": "Warandelaan 2, 5037 AB Tilburg, Netherlands", "lat": "51.56314060", "lng": "5.04197360", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08869.pdf"], "doi": []}, {"id": "2e84deb2fbc518c0ed0ba4158fc063060e5ac1b3", "title": "Real-time Progressive 3D Semantic Segmentation for Indoor Scene", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}, {"name": "Deakin University", "source_name": "Deakin University", "street_adddress": "Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia", "lat": "-38.19928505", "lng": "144.30365229", "type": "edu", "country": "Australia"}, {"name": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00257.pdf"], "doi": []}, {"id": "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "title": "Recognition in Terra Incognita", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04975.pdf"], "doi": []}, {"id": "84a3478cf884b0cbba480c7c36dab565e778094b", "title": "Learning to detect chest radiographs containing lung nodules using visual attention networks", "addresses": [{"name": "King\u2019s College London", "source_name": "Institute of Psychiatry, King\u2019s College London, London, UK", "street_adddress": "16 De Crespigny Park, Camberwell, London SE5 8AF, UK", "lat": "51.47022750", "lng": "-0.09014280", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1712.00996.pdf"], "doi": []}, {"id": "fbace36d9161fbd062eefa0c005362bb210c7097", "title": "VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06288.pdf"], "doi": []}, {"id": "d012f6d7fd45051adaff8da4ce0860de9f81d445", "title": "A Deep Multi-task Learning Approach to Skin Lesion Classification", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1812.03527.pdf"], "doi": []}, {"id": "fc027fccb19512a439fc17181c34ee1c3aad51b5", "title": "Joint Multi-person Pose Estimation and Semantic Part Segmentation", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03383.pdf"], "doi": []}, {"id": "50d6dcec7f1fcbde647237d43950fa5ec59d6984", "title": "Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network", "addresses": [{"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02110.pdf"], "doi": []}, {"id": "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "title": "2 D-Driven 3 D Object Detection in RGB-D Images", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/225c/318f3143b9b9d6c0f7a87672bd1d9d2901f4.pdf"], "doi": []}, {"id": "37e1fc37a3ee90f24d85ad6fd3e5c51d3f5ab4fd", "title": "Attentive Explanations: Justifying Decisions and Pointing to the Evidence", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.04757.pdf"], "doi": []}, {"id": "475e16577be1bfc0dd1f74f67bb651abd6d63524", "title": "DAiSEE: Towards User Engagement Recognition in the Wild", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01885.pdf"], "doi": []}, {"id": "503c16d9cb1560f13a7d6baedf8c9f889b22459d", "title": "Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02611.pdf"], "doi": []}, {"id": "18c57ddc9c0164ee792661f43a5578f7a00d0330", "title": "ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases", "addresses": [{"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02315.pdf"], "doi": []}, {"id": "f632790471b2bed7ba7c28b12cda9360ec586a63", "title": "Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02531.pdf"], "doi": []}, {"id": "197c406b95340dfcdef542db532e0f7a967b9cda", "title": "Softer-NMS: Rethinking Bounding Box Regression for Accurate Object 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": "2018", "pdf": ["https://arxiv.org/pdf/1809.08545.pdf"], "doi": []}, {"id": "0f54eacd2d9ad031a0b55166399e2f1d0f70b4b5", "title": "Joint Learning of Set Cardinality and State Distribution", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.04093.pdf"], "doi": []}, {"id": "1e54025a6b399bfc210a52a8c3314e8f570c2204", "title": "DenseCap: Fully Convolutional Localization Networks for Dense Captioning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07571.pdf"], "doi": []}, {"id": "26203d84466488b168745334935f7ca82294e3e4", "title": "Visual Reasoning by Progressive Module Networks", "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"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02453.pdf"], "doi": []}, {"id": "8b059a9851c23067afe247b59e54f3167caa9b34", "title": "Modality-Specific Cross-Modal Similarity Measurement With Recurrent Attention Network", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8401908"]}, {"id": "3796fe0e5dd10b01fc9fb486d09e61b28eedf915", "title": "Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.01034.pdf"], "doi": []}, {"id": "11a8cc3fa18ab4f7158447cc1fc8800489e82f9c", "title": "AttResNet: Attention-based ResNet for Image Captioning", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3302464"]}, {"id": "2e78e804ddfe86f112719d4a237c882f930a9d3b", "title": "Development of Real-time ADAS Object Detector for Deployment on CPU", "addresses": [{"name": "Intel", "source_name": "Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248", "street_adddress": "4500 S Dobson Rd, Chandler, AZ 85248, USA", "lat": "33.24160080", "lng": "-111.88390830", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05894.pdf"], "doi": []}, {"id": "396aacab076a3607429f58ce442d5d57b5aaa794", "title": "Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03240.pdf"], "doi": []}, {"id": "6fe1439e40429c7cd7029ecf83ca6f36fd0c8040", "title": "Deep Matching and Validation Network: An End-to-End Solution to Constrained Image Splicing Localization and Detection", "addresses": [{"name": "Information Sciences Institute, Marina Del Rey, CA", "source_name": "Information Sciences Institute, Marina Del Rey, CA, USA", "street_adddress": "4676 Admiralty Way #1001, Marina Del Rey, CA 90292, USA", "lat": "33.98007070", "lng": "-118.44003850", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123411"]}, {"id": "5a40efdd3a50ab2e3bce106f92d921713ef068b3", "title": "Learning Saliency Prediction From Sparse Fixation Pixel Map", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00644.pdf"], "doi": []}, {"id": "745a913b6a3dd28f3d1c583e80497d6d627a9ca4", "title": "OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts", "addresses": [{"name": "University of Virginia", "source_name": "University of Virginia", "street_adddress": "University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA", "lat": "38.03536820", "lng": "-78.50353220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07102.pdf"], "doi": []}, {"id": "a43280a668f12cffdb7b4c9917984aa55b12759b", "title": "Zoom Out-and-In Network with Recursive Training for Object Proposal", "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/1702.05711.pdf"], "doi": []}, {"id": "aa7914646c6a4bbad0727cb84ab9b05e5b381af4", "title": "Framework for Evaluating Vision-based Autonomous Steering Control Model", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569717"]}, {"id": "3ab93fe26a46f8bc0999e68af71a0907a63a5e65", "title": "ESTHER: Extremely Simple Image Translation Through Self-Regularization", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3ab9/3fe26a46f8bc0999e68af71a0907a63a5e65.pdf"], "doi": []}, {"id": "1d82e7736268917cc3d87a2ee0896b03e02a5ff6", "title": "The Promise of Premise: Harnessing Question Premises in Visual Question Answering", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00601.pdf"], "doi": []}, {"id": "58d16e23e1192be4acaf6a29c1f5995817146554", "title": "Bringing back simplicity and lightliness into neural image captioning", "addresses": [{"name": "University of Mons", "source_name": "Faculty of Engineering, University of Mons, Belgium", "street_adddress": "Place du Parc 20, 7000 Mons, Belgium", "lat": "50.45877140", "lng": "3.95216520", "type": "edu", "country": "Belgium"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06245.pdf"], "doi": []}, {"id": "7771807cd05f78a4591f2d0b094ddd3e0bd5339a", "title": "Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors", "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": "2017", "pdf": ["https://arxiv.org/pdf/1707.06399.pdf"], "doi": []}, {"id": "b2c60061ad32e28eb1e20aff42e062c9160786be", "title": "Diverse and Controllable Image Captioning with Part-of-Speech Guidance", "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/1805.12589.pdf"], "doi": []}, {"id": "20a91b0e7c2598d327169517cdeaafc433caa700", "title": "Inshore Ship Detection Based on Mask R-CNN", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8519123"]}, {"id": "07f4ba45b771ed123b08261d88acda19406a7987", "title": "Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "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": "2018", "pdf": ["https://arxiv.org/pdf/1809.04427.pdf"], "doi": []}, {"id": "cb4fc4d49783f2049c48a062169f04eb744443ec", "title": "Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}, {"name": "University of Udine", "source_name": "University of Udine, Italy", "street_adddress": "Universit\u00e0 degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy", "lat": "46.08107230", "lng": "13.21194740", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.08474.pdf"], "doi": []}, {"id": "38262d92b09564aba747beb7150b92c92998170c", "title": "A Visual Attention Grounding Neural Model for Multimodal Machine Translation", "addresses": [{"name": "University of California, Davis", "source_name": "University of California, Davis", "street_adddress": "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08266.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/final/flickr_faces.json b/site/datasets/final/flickr_faces.json
index d167cad8..cf3fcd8e 100644
--- a/site/datasets/final/flickr_faces.json
+++ b/site/datasets/final/flickr_faces.json
@@ -1 +1 @@
-{"id": "ceb2ebef0b41e31c1a21b28c2734123900c005e2", "dataset": {"key": "flickr_faces", "name_short": "FFHQ", "name_display": "FFHQ", "name_full": "Flickr-Faces-HQ Dataset", "purpose": "", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://github.com/NVlabs/ffhq-dataset", "verify_do": "Y", "verify_done": "", "cooperative": "N", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "N", "nyt_share": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "sources": "flickr", "source_cat": "social media", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "", "ongoing": "", "images": "", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "ceb2ebef0b41e31c1a21b28c2734123900c005e2", "key": "flickr_faces", "title": "A Style-Based Generator Architecture for Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04948.pdf"], "address": "", "name": "FFHQ", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "95aa0a6ec61319496b40735e89c9354ed07468aa", "title": "Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.02165.pdf"], "doi": []}, {"id": "db04cf426357724df54519f8b8af1ca8b56dc38e", "title": "Synthesizing Coupled 3 D Face Modalities by Trunk-Branch Generative Adversarial Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/db04/cf426357724df54519f8b8af1ca8b56dc38e.pdf"], "doi": []}, {"id": "24bae1dbad640d81306d106a380261eb7d6063fb", "title": "Unsupervised Object Segmentation by Redrawing", "addresses": [{"name": "Sorbonne Universit\u00e9", "source_name": "CNRS UMR7222, Sorbonne Universit\u00e9, Institut des Syst\u00e8mes Intelli-gents et de Robotique, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.13539.pdf"], "doi": []}, {"id": "2d395f7715692aefc8c5d3f264e2fb3bd405585f", "title": "Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04243.pdf"], "doi": []}, {"id": "a2bd2c4e24d374082a87198161798b26f19e0710", "title": "A PCA-like Autoencoder", "addresses": [{"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01277.pdf"], "doi": []}, {"id": "00960e0c95d398a1b10b6cfb0a17db073ef4a78a", "title": "Enriching Financial Datasets with Generative Adversarial Networks", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/0096/0e0c95d398a1b10b6cfb0a17db073ef4a78a.pdf"], "doi": []}, {"id": "22f46c09d942e222dbe6a9da954e8cc0501bc569", "title": "READ: Recursive Autoencoders for Document Layout Generation", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"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"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.00302.pdf"], "doi": []}, {"id": "0d46406058396f66fca4a248b897956159dfabcb", "title": "PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.12320.pdf"], "doi": []}, {"id": "bf095a26a34757616b29215617a99af8dc634e52", "title": "Learning Object Representations by Mixing Scenes Master Thesis", "addresses": [{"name": "University of Fribourg", "source_name": "University of Fribourg", "street_adddress": "Avenue de l'Europe 20, 1700 Fribourg, Switzerland", "lat": "46.80635700", "lng": "7.15200600", "type": "edu", "country": "Switzerland"}, {"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/bf09/5a26a34757616b29215617a99af8dc634e52.pdf"], "doi": []}, {"id": "c002ceaeee6fb74bebbdc2012a877ba78f1fd4de", "title": "Emergence of Object Segmentation in Perturbed Generative Models", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12663.pdf"], "doi": []}, {"id": "9602d1b8c046eb5da6b7c97a2b0bcb18b66968b2", "title": "Artist Style Transfer Via Quadratic Potential", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.11108.pdf"], "doi": []}, {"id": "e312226d64c86662eadf182e9e5f909b5f01ef60", "title": "LIA: Latently Invertible Autoencoder with Adversarial Learning", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08090.pdf"], "doi": []}, {"id": "aaaaa07ca70c86c0e84567f52128486d1f3df75f", "title": "MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis", "addresses": [{"name": "Pune, India", "source_name": "Pune, India", "street_adddress": "Pune, Maharashtra, India", "lat": "18.52043030", "lng": "73.85674370", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.06048.pdf"], "doi": []}, {"id": "e0a3737381fe393f6d761ddba16c795b31bcdad2", "title": "High Fidelity Face Manipulation with Extreme Pose and Expression", "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": "2019", "pdf": ["https://arxiv.org/pdf/1903.12003.pdf"], "doi": []}, {"id": "5b2b9b9ee2ad444a23b8d9f27e4f929d9094dc42", "title": "Style Generator Inversion for Image Enhancement and Animation", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11880.pdf"], "doi": []}, {"id": "5770d15f72758a8489aa3d70ea6e3c03aff806e6", "title": "Channel Decomposition on Generative Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.04694.pdf"], "doi": []}, {"id": "6acc86a3434b10fad8e9818d89c70b9826809d74", "title": "Learning Feature Extraction for Transfer from Simulation to Reality", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6acc/86a3434b10fad8e9818d89c70b9826809d74.pdf"], "doi": []}, {"id": "135dc574a3f879f853f47c48a1d6a66ca71c32b7", "title": "Disentangling Style and Content in Anime Illustrations", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.10742.pdf"], "doi": []}, {"id": "fef7b26828d4e76bb7ce103eea073b0fcf946f96", "title": "Beauty Learning and Counterfactual Inference", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/fef7/b26828d4e76bb7ce103eea073b0fcf946f96.pdf"], "doi": []}, {"id": "57f8c9813a76842939a71ad57cf5182885131f07", "title": "Smart, Deep Copy-Paste", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.06763.pdf"], "doi": []}, {"id": "c2ce9df9888a167612684b60bd7f3d7407bb2a73", "title": "Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12660.pdf"], "doi": []}, {"id": "82436a079ef268e841a70c1d2cd1fa1a135b2521", "title": "Task-Aware Deep Sampling for Feature Generation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.04854.pdf"], "doi": []}, {"id": "9f1766ed74777e4cb5bdc5a0bf0014165511e0ba", "title": "Curriculum Learning for Deep Generative Models with Clustering", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "2019", "pdf": ["https://arxiv.org/pdf/1906.11594.pdf"], "doi": []}, {"id": "b4458e7abc14269d45ffec33ef070e050caae05b", "title": "Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.09856.pdf"], "doi": []}, {"id": "f89b9883136e764570393c56af326c4dc87b45f1", "title": "Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06145.pdf"], "doi": []}, {"id": "8ccb88958358ea59bdc9b76f660b01c8f631b2c0", "title": "HoloGAN: Unsupervised learning of 3D representations from natural images", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01326.pdf"], "doi": []}, {"id": "a2e7834bb1ae12ca0d4c9396f411fd0e3cf2b723", "title": "Seeing What a GAN Cannot Generate", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/fd32/26bcdfa7c7f25e2e4b25674c33f93a08fbdc.pdf"], "doi": []}, {"id": "1e10a58cd3d3974d083ec5aa323e5d10c43fc061", "title": "Image Generation from Small Datasets via Batch Statistics Adaptation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01774.pdf"], "doi": []}, {"id": "1428ab147371751bc3966c938825ef23e7fa80ee", "title": "The Art of Food: Meal Image Synthesis from Ingredients", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.13149.pdf"], "doi": []}, {"id": "a0e8f4348968195c80494b7a4245edb91a252c93", "title": "Deep Generative and Discriminative Embeddings for Novelty Detection", "addresses": [{"name": "Johns Hopkins University Applied Physics Laboratory", "source_name": "The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA", "street_adddress": "11100 Johns Hopkins Rd, Laurel, MD 20723, USA", "lat": "39.16309960", "lng": "-76.89942800", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0e8/f4348968195c80494b7a4245edb91a252c93.pdf"], "doi": []}, {"id": "655979e9e79f5eaf30550cb20ba5f00c15447da7", "title": "FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.05729.pdf"], "doi": []}, {"id": "19804c87ebb4ff861516a2a18591fd56afa41499", "title": "From Mondrian to Modular Synth : Rendering NIME using Generative Adversarial Networks", "addresses": [{"name": "MIT Media Lab", "source_name": "MIT Media Laboratory, Cambridge, MA, USA", "street_adddress": "75 Amherst St, Cambridge, MA 02139, USA", "lat": "42.36035700", "lng": "-71.08726400", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1980/4c87ebb4ff861516a2a18591fd56afa41499.pdf"], "doi": []}, {"id": "30d265c4dec1276579942b42fb6c46a5ff490e7f", "title": "Meta-Sim: Learning to Generate Synthetic Datasets", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"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"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11621.pdf"], "doi": []}, {"id": "5f9739c0f49e1a60a93969471243ace818bf5aa7", "title": "Theses 5-2019 Structure Preserving regularizer for Neural Style Transfer", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/5f97/39c0f49e1a60a93969471243ace818bf5aa7.pdf"], "doi": []}, {"id": "68ee70c87cc036e0935e2ceef02263018acaf1a2", "title": "On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01219.pdf"], "doi": []}, {"id": "75187014e7efd823eecfa833217ebb3ea7187107", "title": "Bridging Dialogue Generation and Facial Expression Synthesis", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.11240.pdf"], "doi": []}, {"id": "8149b95065d424feaaa13248a4b3d046c4bcf5eb", "title": "Semantic photo manipulation with a generative image prior", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}, {"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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3323023"]}, {"id": "72e968a606ef656cd46dc2d875a8e70cc50508a9", "title": "There is no general AI: Why Turing machines cannot pass the Turing test", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.05833.pdf"], "doi": []}, {"id": "69685a820c1ab2351f9f3517717bb0e74be31e91", "title": "Compete-free G Discriminator D Real / Fake Real Images Mutual Information Maximization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6968/5a820c1ab2351f9f3517717bb0e74be31e91.pdf"], "doi": []}, {"id": "ecc7f561976b3725f788623d84436a2685dca204", "title": "Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed", "addresses": [{"name": "PSL Research University", "source_name": "MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France", "street_adddress": "60 Boulevard Saint-Michel, 75006 Paris, France", "lat": "48.84496370", "lng": "2.33961050", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.01174.pdf"], "doi": []}, {"id": "b9c78b104b9d31e01cd852192a369c6dd6f4cbab", "title": "FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment", "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": "2019", "pdf": ["https://arxiv.org/pdf/1905.11805.pdf"], "doi": []}, {"id": "9494a253f1b3c8627587fc94e659440d355f08c8", "title": "Improved Generalisation Bounds for Deep Learning Through $L^\\infty$ Covering Numbers.", "addresses": [{"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12430.pdf"], "doi": []}, {"id": "40c7b8b84cc23c85c37598d6eaa8b21633770480", "title": "Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11960.pdf"], "doi": []}, {"id": "e351cdef6f21b64088646cb54a107998ca79360d", "title": "Label-Noise Robust Multi-Domain Image-to-Image Translation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02185.pdf"], "doi": []}, {"id": "c4da1d5ec5bab365e2f36aa874bc71660e6114b4", "title": "Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07882.pdf"], "doi": []}, {"id": "a81f1abc25596361a0583617b4da784f4b559e9c", "title": "AnonymousNet : Natural Face De-Identification with Measurable Privacy", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/a81f/1abc25596361a0583617b4da784f4b559e9c.pdf"], "doi": []}, {"id": "246a91b1737bdcc777efb7d85e37c51476886785", "title": "Detecting AI-Synthesized Speech Using Bispectral Analysis", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/e3cd/431123b6cfb5fcef2143c5dee5809b1aec77.pdf"], "doi": []}, {"id": "7ec0ad0889172e8ca394bddae1f51dfe7d6f0cbc", "title": "Adversarial Learning for Improved Onsets and Frames Music Transcription", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08512.pdf"], "doi": []}, {"id": "854aaeb2ad96d369a8d955b91dd7320056a71efb", "title": "M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.00168.pdf"], "doi": []}, {"id": "3984845ee41dd4bbd3fe5c70521e4a1d2aa05f99", "title": "AnonymousNet: Natural Face De-Identification with Measurable Privacy", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.12620.pdf"], "doi": []}, {"id": "11cc653ad48d27aeb8bf6dbdfedc8e618997914a", "title": "Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion", "addresses": [{"name": "Universitat Polit\u00e8cnica de Catalunya", "source_name": "Universitat Polit\u00e8cnica de Catalunya", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00794.pdf"], "doi": []}, {"id": "965359b3008ab50dd04e171551220ec0e7f83aba", "title": "Generative Modeling by Estimating Gradients of the Data Distribution", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05600.pdf"], "doi": []}, {"id": "78bde1f48a57f31cdf64ae68012e1b23571d7c1c", "title": "Deep Music Analogy Via Latent Representation Disentanglement", "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": "2019", "pdf": ["https://arxiv.org/pdf/1906.03626.pdf"], "doi": []}, {"id": "fbdcd3ad1ac5bd1a13a49163e568d0d85b59b2c4", "title": "Beauty Learning and Counterfactual Inference", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/fbdc/d3ad1ac5bd1a13a49163e568d0d85b59b2c4.pdf"], "doi": []}, {"id": "79bc6e1fe465aec49d7f0252f295c0ad9cdaf389", "title": "Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning", "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": "2019", "pdf": ["https://arxiv.org/pdf/1909.01871.pdf"], "doi": []}, {"id": "2e4d61d0f4ab8a0c254302882aa354eaf08b558e", "title": "Compositional Deep Learning", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.08292.pdf"], "doi": []}, {"id": "03e504fd71cdc80ebcc16798e951ece979eb7e0e", "title": "Image Synthesis From Reconfigurable Layout and Style", "addresses": [{"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07500.pdf"], "doi": []}, {"id": "00163b1287321eab6543c087f866f79f6c743ddb", "title": "ChromaGAN: An Adversarial Approach for Picture Colorization", "addresses": [{"name": "University Pompeu Fabra", "source_name": "Computational Imaging Lab, University Pompeu Fabra, Barcelona, Spain", "street_adddress": "Pla\u00e7a de la Merc\u00e8, 10, 08002 Barcelona, Spain", "lat": "41.37896890", "lng": "2.17979410", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.09837.pdf"], "doi": []}, {"id": "995ce8f3d36ee6a2231e8026e85b5b1f98bd28c7", "title": "Exposing GAN-synthesized Faces Using Landmark Locations", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "University of the Chinese Academy of Sciences", "source_name": "The Institute of Optics and Electronics Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Chengdu, China", "street_adddress": "Chengdu, Sichuan, China", "lat": "30.57281500", "lng": "104.06680100", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3335724"]}, {"id": "5a2ab612052ca0d28e67cd8789d56f4260d93a00", "title": "FADN: Features Attention with Deep Networks for Remote-Image Classification", "addresses": [{"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"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"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8735452"]}, {"id": "426ce52b0c4ac73e6226c532d4d8a2171f12e9fb", "title": "Emotion Reinforced Visual Storytelling", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3325050"]}, {"id": "6b013d0027eb05b318bc08f716920b3d92582682", "title": "Attribute-Driven Spontaneous Motion in Unpaired Image Translation", "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": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}, {"name": "Harbin Institute of Technology, Shenzhen", "source_name": "Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China", "street_adddress": "China, Guangdong, Shenzhen, Nanshan, \u5e73\u5c71\u4e00\u8def", "lat": "22.58675200", "lng": "113.96878000", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.01452.pdf"], "doi": []}, {"id": "7fa4c76d55d5fd7007e4cbce46ad8c8cda111325", "title": "Latent Optimization for Non-adversarial Representation Disentanglement", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11796.pdf"], "doi": []}, {"id": "e40ac1763af1635393d7b556f750a7ad5c41abde", "title": "Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.09453.pdf"], "doi": []}, {"id": "1da3ffde612cbdfa861e9b530c3b795504682335", "title": "Detecting and Simulating Artifacts in GAN Fake Images", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.06515.pdf"], "doi": []}, {"id": "c13ce6211c96ddaea9560254860e628c70da2ca5", "title": "Audio query-based music source separation", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.06593.pdf"], "doi": []}, {"id": "edbe883de858f2f8aff760b24626ee1e7eaeadaf", "title": "Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.03728.pdf"], "doi": []}, {"id": "ccaf15d4ad006171061508ca0a99c73814671501", "title": "SinGAN: Learning a Generative Model from a Single Natural Image", "addresses": [{"name": "Technion", "source_name": "Technion", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.01164.pdf"], "doi": []}, {"id": "c2d6cf8933e6c034bf2a81b0a061115bcb1d9b9a", "title": "Adversarial Self-Defense for Cycle-Consistent GANs", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01517.pdf"], "doi": []}, {"id": "833b441526ebfc8e5308d963ca7aafd630a8debc", "title": "Freeze and Chaos for DNNs: an NTK view of Batch Normalization, Checkerboard and Boundary Effects", "addresses": [{"name": "Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "Signal Processing Laboratory (LTS5), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05715.pdf"], "doi": []}, {"id": "d8d89a0a1eca983512247af701a9e5596c903a16", "title": "Interpreting the Latent Space of GANs for Semantic Face Editing", "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": "2019", "pdf": ["https://arxiv.org/pdf/1907.10786.pdf"], "doi": []}, {"id": "5e088e188bd67f902ac28aef98dc433fc334ecb8", "title": "PolyGAN: High-Order Polynomial Generators", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.06571.pdf"], "doi": []}, {"id": "9fac2ad81a561398506ce566d897f7169583b4f8", "title": "On the \"steerability\" of generative adversarial networks", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.07171.pdf"], "doi": []}, {"id": "0ee8599185273fa78644ccccd32ae91643a80251", "title": "Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "Texas State University", "source_name": "Texas State University, San Marcos, TX, USA", "street_adddress": "601 University Dr, San Marcos, TX 78666, USA", "lat": "29.88841100", "lng": "-97.93835100", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00999.pdf"], "doi": []}, {"id": "b72dc85606e84b020629a25a653f34b612eb02bc", "title": "Class-conditioned Outline-to-Image Translation Interactive Sketch & Fill", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b72d/c85606e84b020629a25a653f34b612eb02bc.pdf"], "doi": []}, {"id": "0638f57d119cd610de8202b67398cfe47eb9fb6c", "title": "Biphasic Learning of GANs for High-Resolution Image-to-Image Translation", "addresses": [{"name": "Baidu, Inc.", "source_name": "Baidu International Technology (Shenzhen) Company, Ltd., Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06624.pdf"], "doi": []}, {"id": "dbdeac01daf69c3725032c42be04f42c17ea439d", "title": "HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01121.pdf"], "doi": []}, {"id": "b3fb0ac4a658a176dea67c825b9867cfe4024a3d", "title": "ProtoGANist: Protocol Reverse Engineering using Generative Adversarial Networks", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/b3fb/0ac4a658a176dea67c825b9867cfe4024a3d.pdf"], "doi": []}, {"id": "d7f5f03469cf133487c684c689710c0e1ed039ce", "title": "One-shot Face Reenactment", "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"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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": "2019", "pdf": ["https://arxiv.org/pdf/1908.03251.pdf"], "doi": []}, {"id": "22c46ac094c399f4a92c922a5537c93a5d03f61a", "title": "TunaGAN: Interpretable GAN for Smart Editing", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.06163.pdf"], "doi": []}, {"id": "3e248a4d381f04cba0536e53fc99dd2adcc87bc6", "title": "Copy-paste network Network input Residuals + Blending Result", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3e24/8a4d381f04cba0536e53fc99dd2adcc87bc6.pdf"], "doi": []}, {"id": "140b0b296017750309331f22e1c569aaa86f8ba5", "title": "Improved Generalisation Bounds for Deep Learning Through L\u221e Covering Numbers", "addresses": [{"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/140b/0b296017750309331f22e1c569aaa86f8ba5.pdf"], "doi": []}, {"id": "352120e91c09a4fba38aba38a554b4d36f2ec74f", "title": "O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.01931.pdf"], "doi": []}, {"id": "2c1ccf7b7d201fa53e555aa714b743144c059348", "title": "Learning to Generate Textures on 3D Meshes", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/2c1c/cf7b7d201fa53e555aa714b743144c059348.pdf"], "doi": []}, {"id": "60e69aca48ed8754c6cdd38a2a5be9575441c715", "title": "Dimensionality Reduction Flows", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01686.pdf"], "doi": []}, {"id": "d57622db429112152ee726bbee80ddd567c342bc", "title": "Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.05840.pdf"], "doi": []}, {"id": "d383dd8ced85d7898d8b1546c514a34fb626ea16", "title": "Improved Precision and Recall Metric for Assessing Generative Models", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06991.pdf"], "doi": []}, {"id": "83e06eeccfda20ef3025ab5fb311c0fadeca32d8", "title": "Beyond the feedforward sweep : feedback computations in the visual cortex", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/83e0/6eeccfda20ef3025ab5fb311c0fadeca32d8.pdf"], "doi": []}, {"id": "d6c40ae1110f665e1783440aa8fb560d72bec44f", "title": "CFSNet: Toward a Controllable Feature Space for Image Restoration", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.00634.pdf"], "doi": []}, {"id": "bfaf399acf487a57a0d19b78b9308292a3e13f1b", "title": "Design and Visualization of Guided GAN on MNIST dataset", "addresses": [{"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "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"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3338489"]}, {"id": "717d85bd48aca5d950a4da4bc63b647a57233075", "title": "HYPE: Human eYe Perceptual Evaluation of Generative Models", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01121.pdf"], "doi": []}, {"id": "acbeebdfd9dd3456628604eefcd53f50f974b132", "title": "Generative Adversarial Network in Medical Imaging: A Review", "addresses": [{"name": "University of Saskatchewan", "source_name": "University of Saskatchewan, Saskatoon, SK, Canada", "street_adddress": "Saskatoon, SK S7N, Canada", "lat": "52.13340030", "lng": "-106.63135820", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://arxiv-export-lb.library.cornell.edu/pdf/1809.07294", "https://arxiv.org/pdf/1809.07294.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/31521965", "https://doi.org/10.1016/j.media.2019.101552"]}, {"id": "3a7fa673ff8ec4ec2f322473de005f3cd09ea820", "title": "AutoML: A Survey of the State-of-the-Art", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00709.pdf"], "doi": []}, {"id": "d3810f2c401874651afce74fb0a54b309491cc29", "title": "AutoGAN: Neural Architecture Search for Generative Adversarial Networks", "addresses": [{"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.03835.pdf"], "doi": []}, {"id": "98967cbb7887088b0681e79e7e99d30c44c5de12", "title": "Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation", "addresses": [{"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.10489.pdf"], "doi": []}, {"id": "9656a10c9d4a35fd8d4ad994bc03fcd69231ff22", "title": "Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving", "addresses": [{"name": "Valeo Vision Systems, Ireland", "source_name": "Valeo Vision Systems, Ireland", "street_adddress": "IDA Business Park, Dunmore Rd, Galway, Ireland", "lat": "53.52190380", "lng": "-8.84273220", "type": "edu", "country": "Ireland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03442.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "ceb2ebef0b41e31c1a21b28c2734123900c005e2", "dataset": {"key": "flickr_faces", "name_short": "FFHQ", "name_display": "FFHQ", "name_full": "Flickr-Faces-HQ Dataset", "purpose": "", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://github.com/NVlabs/ffhq-dataset", "verify_do": "Y", "verify_done": "", "cooperative": "N", "dl_im": "", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "N", "nyt_share": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "sources": "flickr", "source_cat": "social media", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "", "ongoing": "", "images": "", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "ceb2ebef0b41e31c1a21b28c2734123900c005e2", "key": "flickr_faces", "title": "A Style-Based Generator Architecture for Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04948.pdf"], "address": "", "name": "FFHQ", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "95aa0a6ec61319496b40735e89c9354ed07468aa", "title": "Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.02165.pdf"], "doi": []}, {"id": "db04cf426357724df54519f8b8af1ca8b56dc38e", "title": "Synthesizing Coupled 3 D Face Modalities by Trunk-Branch Generative Adversarial Networks", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/db04/cf426357724df54519f8b8af1ca8b56dc38e.pdf"], "doi": []}, {"id": "24bae1dbad640d81306d106a380261eb7d6063fb", "title": "Unsupervised Object Segmentation by Redrawing", "addresses": [{"name": "Sorbonne Universit\u00e9", "source_name": "CNRS UMR7222, Sorbonne Universit\u00e9, Institut des Syst\u00e8mes Intelli-gents et de Robotique, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.13539.pdf"], "doi": []}, {"id": "2d395f7715692aefc8c5d3f264e2fb3bd405585f", "title": "Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks", "addresses": [{"name": "Dublin City University", "source_name": "DUBLIN CITY UNIVERSITY", "street_adddress": "Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland", "lat": "53.38522185", "lng": "-6.25740874", "type": "edu", "country": "Ireland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04243.pdf"], "doi": []}, {"id": "a2bd2c4e24d374082a87198161798b26f19e0710", "title": "A PCA-like Autoencoder", "addresses": [{"name": "T\u00e9l\u00e9com ParisTech", "source_name": "Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France", "street_adddress": "Business P\u00f4le. 1047 route des Dolines. All\u00e9e Pierre Ziller, 06560 Sophia Antipolis, France", "lat": "43.62716550", "lng": "7.04109170", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01277.pdf"], "doi": []}, {"id": "00960e0c95d398a1b10b6cfb0a17db073ef4a78a", "title": "Enriching Financial Datasets with Generative Adversarial Networks", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/0096/0e0c95d398a1b10b6cfb0a17db073ef4a78a.pdf"], "doi": []}, {"id": "22f46c09d942e222dbe6a9da954e8cc0501bc569", "title": "READ: Recursive Autoencoders for Document Layout Generation", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}, {"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"}, {"name": "Amazon", "source_name": "Amazon, USA", "street_adddress": "Montrose Road, Gardner, KS 66030, USA", "lat": "38.77681060", "lng": "-94.94429820", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.00302.pdf"], "doi": []}, {"id": "b9e5c79339f5be61d127b46c8e25cf4dd5d0c5b5", "title": "Multiple-Identity Image Attacks Against Face-based Identity Verification", "addresses": [{"name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "source_name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "street_adddress": "300 Hagey Blvd, Waterloo, ON N2L 0A4, Canada", "lat": "43.47789480", "lng": "-80.54776420", "type": "company", "country": "Canada"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08507.pdf"], "doi": []}, {"id": "0d46406058396f66fca4a248b897956159dfabcb", "title": "PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.12320.pdf"], "doi": []}, {"id": "bf095a26a34757616b29215617a99af8dc634e52", "title": "Learning Object Representations by Mixing Scenes Master Thesis", "addresses": [{"name": "University of Fribourg", "source_name": "University of Fribourg", "street_adddress": "Avenue de l'Europe 20, 1700 Fribourg, Switzerland", "lat": "46.80635700", "lng": "7.15200600", "type": "edu", "country": "Switzerland"}, {"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/bf09/5a26a34757616b29215617a99af8dc634e52.pdf"], "doi": []}, {"id": "c002ceaeee6fb74bebbdc2012a877ba78f1fd4de", "title": "Emergence of Object Segmentation in Perturbed Generative Models", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12663.pdf"], "doi": []}, {"id": "9602d1b8c046eb5da6b7c97a2b0bcb18b66968b2", "title": "Artist Style Transfer Via Quadratic Potential", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.11108.pdf"], "doi": []}, {"id": "e312226d64c86662eadf182e9e5f909b5f01ef60", "title": "LIA: Latently Invertible Autoencoder with Adversarial Learning", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08090.pdf"], "doi": []}, {"id": "aaaaa07ca70c86c0e84567f52128486d1f3df75f", "title": "MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis", "addresses": [{"name": "Pune, India", "source_name": "Pune, India", "street_adddress": "Pune, Maharashtra, India", "lat": "18.52043030", "lng": "73.85674370", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.06048.pdf"], "doi": []}, {"id": "e0a3737381fe393f6d761ddba16c795b31bcdad2", "title": "High Fidelity Face Manipulation with Extreme Pose and Expression", "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"}, {"name": "Horizon Robotics", "source_name": "Horizon Robotics", "street_adddress": "317 3F 1 Zhongguancun Street Haidian District Beijing, 100190 China", "lat": "39.97558000", "lng": "116.31126000", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.12003.pdf"], "doi": []}, {"id": "5b2b9b9ee2ad444a23b8d9f27e4f929d9094dc42", "title": "Style Generator Inversion for Image Enhancement and Animation", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11880.pdf"], "doi": []}, {"id": "5770d15f72758a8489aa3d70ea6e3c03aff806e6", "title": "Channel Decomposition on Generative Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.04694.pdf"], "doi": []}, {"id": "6acc86a3434b10fad8e9818d89c70b9826809d74", "title": "Learning Feature Extraction for Transfer from Simulation to Reality", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6acc/86a3434b10fad8e9818d89c70b9826809d74.pdf"], "doi": []}, {"id": "135dc574a3f879f853f47c48a1d6a66ca71c32b7", "title": "Disentangling Style and Content in Anime Illustrations", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}, {"name": "USC Institute for Creative Technologies", "source_name": "USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.10742.pdf"], "doi": []}, {"id": "fef7b26828d4e76bb7ce103eea073b0fcf946f96", "title": "Beauty Learning and Counterfactual Inference", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/fef7/b26828d4e76bb7ce103eea073b0fcf946f96.pdf"], "doi": []}, {"id": "57f8c9813a76842939a71ad57cf5182885131f07", "title": "Smart, Deep Copy-Paste", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.06763.pdf"], "doi": []}, {"id": "c2ce9df9888a167612684b60bd7f3d7407bb2a73", "title": "Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12660.pdf"], "doi": []}, {"id": "82436a079ef268e841a70c1d2cd1fa1a135b2521", "title": "Task-Aware Deep Sampling for Feature Generation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.04854.pdf"], "doi": []}, {"id": "9f1766ed74777e4cb5bdc5a0bf0014165511e0ba", "title": "Curriculum Learning for Deep Generative Models with Clustering", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "2019", "pdf": ["https://arxiv.org/pdf/1906.11594.pdf"], "doi": []}, {"id": "b4458e7abc14269d45ffec33ef070e050caae05b", "title": "Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.09856.pdf"], "doi": []}, {"id": "f89b9883136e764570393c56af326c4dc87b45f1", "title": "Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06145.pdf"], "doi": []}, {"id": "8ccb88958358ea59bdc9b76f660b01c8f631b2c0", "title": "HoloGAN: Unsupervised learning of 3D representations from natural images", "addresses": [{"name": "University of Bath", "source_name": "University of Bath", "street_adddress": "University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01326.pdf"], "doi": []}, {"id": "a2e7834bb1ae12ca0d4c9396f411fd0e3cf2b723", "title": "Seeing What a GAN Cannot Generate", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/fd32/26bcdfa7c7f25e2e4b25674c33f93a08fbdc.pdf"], "doi": []}, {"id": "1e10a58cd3d3974d083ec5aa323e5d10c43fc061", "title": "Image Generation from Small Datasets via Batch Statistics Adaptation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01774.pdf"], "doi": []}, {"id": "1428ab147371751bc3966c938825ef23e7fa80ee", "title": "The Art of Food: Meal Image Synthesis from Ingredients", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.13149.pdf"], "doi": []}, {"id": "a0e8f4348968195c80494b7a4245edb91a252c93", "title": "Deep Generative and Discriminative Embeddings for Novelty Detection", "addresses": [{"name": "Johns Hopkins University Applied Physics Laboratory", "source_name": "The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA", "street_adddress": "11100 Johns Hopkins Rd, Laurel, MD 20723, USA", "lat": "39.16309960", "lng": "-76.89942800", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0e8/f4348968195c80494b7a4245edb91a252c93.pdf"], "doi": []}, {"id": "655979e9e79f5eaf30550cb20ba5f00c15447da7", "title": "FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation", "addresses": [{"name": "Sichuan University, Chengdu", "source_name": "Sichuan Univ., Chengdu", "street_adddress": "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "lat": "30.64276900", "lng": "104.06751175", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.05729.pdf"], "doi": []}, {"id": "19804c87ebb4ff861516a2a18591fd56afa41499", "title": "From Mondrian to Modular Synth : Rendering NIME using Generative Adversarial Networks", "addresses": [{"name": "MIT Media Lab", "source_name": "MIT Media Laboratory, Cambridge, MA, USA", "street_adddress": "75 Amherst St, Cambridge, MA 02139, USA", "lat": "42.36035700", "lng": "-71.08726400", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1980/4c87ebb4ff861516a2a18591fd56afa41499.pdf"], "doi": []}, {"id": "30d265c4dec1276579942b42fb6c46a5ff490e7f", "title": "Meta-Sim: Learning to Generate Synthetic Datasets", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}, {"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"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11621.pdf"], "doi": []}, {"id": "5f9739c0f49e1a60a93969471243ace818bf5aa7", "title": "Theses 5-2019 Structure Preserving regularizer for Neural Style Transfer", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/5f97/39c0f49e1a60a93969471243ace818bf5aa7.pdf"], "doi": []}, {"id": "68ee70c87cc036e0935e2ceef02263018acaf1a2", "title": "On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01219.pdf"], "doi": []}, {"id": "75187014e7efd823eecfa833217ebb3ea7187107", "title": "Bridging Dialogue Generation and Facial Expression Synthesis", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.11240.pdf"], "doi": []}, {"id": "8149b95065d424feaaa13248a4b3d046c4bcf5eb", "title": "Semantic photo manipulation with a generative image prior", "addresses": [{"name": "IBM Research, North Carolina", "source_name": "IBM Research", "street_adddress": "IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA", "lat": "35.90422720", "lng": "-78.85565763", "type": "company", "country": "United States"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}, {"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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3323023"]}, {"id": "72e968a606ef656cd46dc2d875a8e70cc50508a9", "title": "There is no general AI: Why Turing machines cannot pass the Turing test", "addresses": [{"name": "University at Buffalo", "source_name": "State University of New York at Buffalo", "street_adddress": "Buffalo, NY 14260, USA", "lat": "43.00080930", "lng": "-78.78896970", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.05833.pdf"], "doi": []}, {"id": "69685a820c1ab2351f9f3517717bb0e74be31e91", "title": "Compete-free G Discriminator D Real / Fake Real Images Mutual Information Maximization", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6968/5a820c1ab2351f9f3517717bb0e74be31e91.pdf"], "doi": []}, {"id": "ecc7f561976b3725f788623d84436a2685dca204", "title": "Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed", "addresses": [{"name": "PSL Research University", "source_name": "MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France", "street_adddress": "60 Boulevard Saint-Michel, 75006 Paris, France", "lat": "48.84496370", "lng": "2.33961050", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1909.01174.pdf"], "doi": []}, {"id": "b9c78b104b9d31e01cd852192a369c6dd6f4cbab", "title": "FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment", "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": "2019", "pdf": ["https://arxiv.org/pdf/1905.11805.pdf"], "doi": []}, {"id": "9494a253f1b3c8627587fc94e659440d355f08c8", "title": "Improved Generalisation Bounds for Deep Learning Through $L^\\infty$ Covering Numbers.", "addresses": [{"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12430.pdf"], "doi": []}, {"id": "40c7b8b84cc23c85c37598d6eaa8b21633770480", "title": "Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11960.pdf"], "doi": []}, {"id": "e351cdef6f21b64088646cb54a107998ca79360d", "title": "Label-Noise Robust Multi-Domain Image-to-Image Translation", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02185.pdf"], "doi": []}, {"id": "c4da1d5ec5bab365e2f36aa874bc71660e6114b4", "title": "Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07882.pdf"], "doi": []}, {"id": "a81f1abc25596361a0583617b4da784f4b559e9c", "title": "AnonymousNet : Natural Face De-Identification with Measurable Privacy", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/a81f/1abc25596361a0583617b4da784f4b559e9c.pdf"], "doi": []}, {"id": "246a91b1737bdcc777efb7d85e37c51476886785", "title": "Detecting AI-Synthesized Speech Using Bispectral Analysis", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/e3cd/431123b6cfb5fcef2143c5dee5809b1aec77.pdf"], "doi": []}, {"id": "7ec0ad0889172e8ca394bddae1f51dfe7d6f0cbc", "title": "Adversarial Learning for Improved Onsets and Frames Music Transcription", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08512.pdf"], "doi": []}, {"id": "854aaeb2ad96d369a8d955b91dd7320056a71efb", "title": "M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.00168.pdf"], "doi": []}, {"id": "3984845ee41dd4bbd3fe5c70521e4a1d2aa05f99", "title": "AnonymousNet: Natural Face De-Identification with Measurable Privacy", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.12620.pdf"], "doi": []}, {"id": "11cc653ad48d27aeb8bf6dbdfedc8e618997914a", "title": "Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion", "addresses": [{"name": "Universitat Polit\u00e8cnica de Catalunya", "source_name": "Universitat Polit\u00e8cnica de Catalunya", "street_adddress": "Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain", "lat": "41.38800400", "lng": "2.11328040", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00794.pdf"], "doi": []}, {"id": "965359b3008ab50dd04e171551220ec0e7f83aba", "title": "Generative Modeling by Estimating Gradients of the Data Distribution", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05600.pdf"], "doi": []}, {"id": "78bde1f48a57f31cdf64ae68012e1b23571d7c1c", "title": "Deep Music Analogy Via Latent Representation Disentanglement", "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": "2019", "pdf": ["https://arxiv.org/pdf/1906.03626.pdf"], "doi": []}, {"id": "fbdcd3ad1ac5bd1a13a49163e568d0d85b59b2c4", "title": "Beauty Learning and Counterfactual Inference", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/fbdc/d3ad1ac5bd1a13a49163e568d0d85b59b2c4.pdf"], "doi": []}, {"id": "79bc6e1fe465aec49d7f0252f295c0ad9cdaf389", "title": "Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning", "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": "2019", "pdf": ["https://arxiv.org/pdf/1909.01871.pdf"], "doi": []}, {"id": "2e4d61d0f4ab8a0c254302882aa354eaf08b558e", "title": "Compositional Deep Learning", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.08292.pdf"], "doi": []}, {"id": "03e504fd71cdc80ebcc16798e951ece979eb7e0e", "title": "Image Synthesis From Reconfigurable Layout and Style", "addresses": [{"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07500.pdf"], "doi": []}, {"id": "00163b1287321eab6543c087f866f79f6c743ddb", "title": "ChromaGAN: An Adversarial Approach for Picture Colorization", "addresses": [{"name": "University Pompeu Fabra", "source_name": "Computational Imaging Lab, University Pompeu Fabra, Barcelona, Spain", "street_adddress": "Pla\u00e7a de la Merc\u00e8, 10, 08002 Barcelona, Spain", "lat": "41.37896890", "lng": "2.17979410", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.09837.pdf"], "doi": []}, {"id": "995ce8f3d36ee6a2231e8026e85b5b1f98bd28c7", "title": "Exposing GAN-synthesized Faces Using Landmark Locations", "addresses": [{"name": "University at Albany", "source_name": "University at Albany, SUNY, 12222, United States", "street_adddress": "1400 Washington Ave, Albany, NY 12222, USA", "lat": "42.68502730", "lng": "-73.82479030", "type": "edu", "country": "United States"}, {"name": "University of the Chinese Academy of Sciences", "source_name": "The Institute of Optics and Electronics Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Chengdu, China", "street_adddress": "Chengdu, Sichuan, China", "lat": "30.57281500", "lng": "104.06680100", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3335724"]}, {"id": "5a2ab612052ca0d28e67cd8789d56f4260d93a00", "title": "FADN: Features Attention with Deep Networks for Remote-Image Classification", "addresses": [{"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"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"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8735452"]}, {"id": "426ce52b0c4ac73e6226c532d4d8a2171f12e9fb", "title": "Emotion Reinforced Visual Storytelling", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3325050"]}, {"id": "6b013d0027eb05b318bc08f716920b3d92582682", "title": "Attribute-Driven Spontaneous Motion in Unpaired Image Translation", "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": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}, {"name": "Harbin Institute of Technology, Shenzhen", "source_name": "Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China", "street_adddress": "China, Guangdong, Shenzhen, Nanshan, \u5e73\u5c71\u4e00\u8def", "lat": "22.58675200", "lng": "113.96878000", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.01452.pdf"], "doi": []}, {"id": "7fa4c76d55d5fd7007e4cbce46ad8c8cda111325", "title": "Latent Optimization for Non-adversarial Representation Disentanglement", "addresses": [{"name": "Hebrew University of Jerusalem", "source_name": "The Hebrew University of Jerusalem", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.79185550", "lng": "35.24472300", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11796.pdf"], "doi": []}, {"id": "e40ac1763af1635393d7b556f750a7ad5c41abde", "title": "Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.09453.pdf"], "doi": []}, {"id": "1da3ffde612cbdfa861e9b530c3b795504682335", "title": "Detecting and Simulating Artifacts in GAN Fake Images", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.06515.pdf"], "doi": []}, {"id": "c13ce6211c96ddaea9560254860e628c70da2ca5", "title": "Audio query-based music source separation", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.06593.pdf"], "doi": []}, {"id": "edbe883de858f2f8aff760b24626ee1e7eaeadaf", "title": "Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network", "addresses": [{"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.03728.pdf"], "doi": []}, {"id": "ccaf15d4ad006171061508ca0a99c73814671501", "title": "SinGAN: Learning a Generative Model from a Single Natural Image", "addresses": [{"name": "Technion", "source_name": "Technion", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.01164.pdf"], "doi": []}, {"id": "c2d6cf8933e6c034bf2a81b0a061115bcb1d9b9a", "title": "Adversarial Self-Defense for Cycle-Consistent GANs", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01517.pdf"], "doi": []}, {"id": "833b441526ebfc8e5308d963ca7aafd630a8debc", "title": "Freeze and Chaos for DNNs: an NTK view of Batch Normalization, Checkerboard and Boundary Effects", "addresses": [{"name": "Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne", "source_name": "Signal Processing Laboratory (LTS5), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05715.pdf"], "doi": []}, {"id": "d8d89a0a1eca983512247af701a9e5596c903a16", "title": "Interpreting the Latent Space of GANs for Semantic Face Editing", "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": "2019", "pdf": ["https://arxiv.org/pdf/1907.10786.pdf"], "doi": []}, {"id": "5e088e188bd67f902ac28aef98dc433fc334ecb8", "title": "PolyGAN: High-Order Polynomial Generators", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Middlesex University", "source_name": "Middlesex University", "street_adddress": "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.06571.pdf"], "doi": []}, {"id": "9fac2ad81a561398506ce566d897f7169583b4f8", "title": "On the \"steerability\" of generative adversarial networks", "addresses": [{"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.07171.pdf"], "doi": []}, {"id": "0ee8599185273fa78644ccccd32ae91643a80251", "title": "Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "Texas State University", "source_name": "Texas State University, San Marcos, TX, USA", "street_adddress": "601 University Dr, San Marcos, TX 78666, USA", "lat": "29.88841100", "lng": "-97.93835100", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00999.pdf"], "doi": []}, {"id": "b72dc85606e84b020629a25a653f34b612eb02bc", "title": "Class-conditioned Outline-to-Image Translation Interactive Sketch & Fill", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b72d/c85606e84b020629a25a653f34b612eb02bc.pdf"], "doi": []}, {"id": "0638f57d119cd610de8202b67398cfe47eb9fb6c", "title": "Biphasic Learning of GANs for High-Resolution Image-to-Image Translation", "addresses": [{"name": "Baidu, Inc.", "source_name": "Baidu International Technology (Shenzhen) Company, Ltd., Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06624.pdf"], "doi": []}, {"id": "dbdeac01daf69c3725032c42be04f42c17ea439d", "title": "HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01121.pdf"], "doi": []}, {"id": "b3fb0ac4a658a176dea67c825b9867cfe4024a3d", "title": "ProtoGANist: Protocol Reverse Engineering using Generative Adversarial Networks", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/b3fb/0ac4a658a176dea67c825b9867cfe4024a3d.pdf"], "doi": []}, {"id": "d7f5f03469cf133487c684c689710c0e1ed039ce", "title": "One-shot Face Reenactment", "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"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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": "2019", "pdf": ["https://arxiv.org/pdf/1908.03251.pdf"], "doi": []}, {"id": "22c46ac094c399f4a92c922a5537c93a5d03f61a", "title": "TunaGAN: Interpretable GAN for Smart Editing", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.06163.pdf"], "doi": []}, {"id": "3e248a4d381f04cba0536e53fc99dd2adcc87bc6", "title": "Copy-paste network Network input Residuals + Blending Result", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3e24/8a4d381f04cba0536e53fc99dd2adcc87bc6.pdf"], "doi": []}, {"id": "140b0b296017750309331f22e1c569aaa86f8ba5", "title": "Improved Generalisation Bounds for Deep Learning Through L\u221e Covering Numbers", "addresses": [{"name": "Southern University of Science and Technology", "source_name": "Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia", "street_adddress": "15 Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88323760", "lng": "151.20049420", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/140b/0b296017750309331f22e1c569aaa86f8ba5.pdf"], "doi": []}, {"id": "7a8d6ffbbe2b0a5e7b98d8d5d22d1f74ff60f333", "title": "DualDis: Dual-Branch Disentangling with Adversarial Learning", "addresses": [{"name": "Sorbonne Universit\u00e9", "source_name": "CNRS UMR7222, Sorbonne Universit\u00e9, Institut des Syst\u00e8mes Intelli-gents et de Robotique, Paris, France", "street_adddress": "UPMC, 75005 Paris, France", "lat": "48.84579810", "lng": "2.35672360", "type": "edu", "country": "France"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00804.pdf"], "doi": []}, {"id": "352120e91c09a4fba38aba38a554b4d36f2ec74f", "title": "O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.01931.pdf"], "doi": []}, {"id": "2c1ccf7b7d201fa53e555aa714b743144c059348", "title": "Learning to Generate Textures on 3D Meshes", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/2c1c/cf7b7d201fa53e555aa714b743144c059348.pdf"], "doi": []}, {"id": "60e69aca48ed8754c6cdd38a2a5be9575441c715", "title": "Dimensionality Reduction Flows", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01686.pdf"], "doi": []}, {"id": "d57622db429112152ee726bbee80ddd567c342bc", "title": "Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.05840.pdf"], "doi": []}, {"id": "d383dd8ced85d7898d8b1546c514a34fb626ea16", "title": "Improved Precision and Recall Metric for Assessing Generative Models", "addresses": [{"name": "Aalto University", "source_name": "Aalto University", "street_adddress": "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "lat": "60.18558755", "lng": "24.82427330", "type": "edu", "country": "Finland"}, {"name": "NVIDIA", "source_name": "NVIDIA", "street_adddress": "2788 San Tomas Expy, Santa Clara, CA 95051, USA", "lat": "37.37062540", "lng": "-121.96718940", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.06991.pdf"], "doi": []}, {"id": "83e06eeccfda20ef3025ab5fb311c0fadeca32d8", "title": "Beyond the feedforward sweep : feedback computations in the visual cortex", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/83e0/6eeccfda20ef3025ab5fb311c0fadeca32d8.pdf"], "doi": []}, {"id": "d6c40ae1110f665e1783440aa8fb560d72bec44f", "title": "CFSNet: Toward a Controllable Feature Space for Image Restoration", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.00634.pdf"], "doi": []}, {"id": "bfaf399acf487a57a0d19b78b9308292a3e13f1b", "title": "Design and Visualization of Guided GAN on MNIST dataset", "addresses": [{"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "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"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3338489"]}, {"id": "717d85bd48aca5d950a4da4bc63b647a57233075", "title": "HYPE: Human eYe Perceptual Evaluation of Generative Models", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01121.pdf"], "doi": []}, {"id": "acbeebdfd9dd3456628604eefcd53f50f974b132", "title": "Generative Adversarial Network in Medical Imaging: A Review", "addresses": [{"name": "University of Saskatchewan", "source_name": "University of Saskatchewan, Saskatoon, SK, Canada", "street_adddress": "Saskatoon, SK S7N, Canada", "lat": "52.13340030", "lng": "-106.63135820", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://arxiv-export-lb.library.cornell.edu/pdf/1809.07294", "https://arxiv.org/pdf/1809.07294.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/31521965", "https://doi.org/10.1016/j.media.2019.101552"]}, {"id": "3a7fa673ff8ec4ec2f322473de005f3cd09ea820", "title": "AutoML: A Survey of the State-of-the-Art", "addresses": [{"name": "Hong Kong Baptist University", "source_name": "Hong Kong Baptist University", "street_adddress": "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "lat": "22.38742010", "lng": "114.20822220", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00709.pdf"], "doi": []}, {"id": "d3810f2c401874651afce74fb0a54b309491cc29", "title": "AutoGAN: Neural Architecture Search for Generative Adversarial Networks", "addresses": [{"name": "Texas A&M University", "source_name": "Texas A&M University", "street_adddress": "Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA", "lat": "30.61083650", "lng": "-96.35212800", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.03835.pdf"], "doi": []}, {"id": "98967cbb7887088b0681e79e7e99d30c44c5de12", "title": "Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation", "addresses": [{"name": "Yale University", "source_name": "Yale University", "street_adddress": "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "lat": "41.25713055", "lng": "-72.98966960", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.10489.pdf"], "doi": []}, {"id": "9656a10c9d4a35fd8d4ad994bc03fcd69231ff22", "title": "Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving", "addresses": [{"name": "Valeo Vision Systems, Ireland", "source_name": "Valeo Vision Systems, Ireland", "street_adddress": "IDA Business Park, Dunmore Rd, Galway, Ireland", "lat": "53.52190380", "lng": "-8.84273220", "type": "edu", "country": "Ireland"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03442.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/final/megaface.json b/site/datasets/final/megaface.json
index baed46b1..1c051586 100644
--- a/site/datasets/final/megaface.json
+++ b/site/datasets/final/megaface.json
@@ -1 +1 @@
-{"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "dataset": {"key": "megaface", "name_short": "MegaFace", "name_display": "MegaFace Dataset", "name_full": "MegaFace Dataset", "purpose": "face recognition", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://megaface.cs.washington.edu/", "verify_do": "Y", "verify_done": "", "cooperative": "N", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "sources": "flickr", "source_cat": "social media", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "4,753,520 ", "videos": "", "tracklets": "", "identities": "672,057 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "fr", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "key": "megaface", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "address": "", "name": "MegaFace", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, "addresses": [], "additional_papers": [{"paper_id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "key": "megaface", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "year": "2015", "pdf": [], "address": "", "name": "MegaFace", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}], "citations": [{"id": "16fc85bc7dd8c86fa87667f4de9b324b8584b3f4", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network", "addresses": [{"name": "Mitsubishi Electr. Res. Lab., Cambridge, MA, USA", "source_name": "Mitsubishi Electr. Res. Lab., Cambridge, MA, USA", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10974.pdf"], "doi": []}, {"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}, {"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"], "doi": []}, {"id": "4f686309f5a34d5a5c687539b71bac0bafd8476f", "title": "The Devil of Face Recognition is in the Noise", "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"}, {"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "343867ee70924b56d93d7c3680606cec76ba7d80", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3438/67ee70924b56d93d7c3680606cec76ba7d80.pdf"], "doi": []}, {"id": "8a2deb2b4216f6c065c5e955706ce157d96625a1", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8680708"]}, {"id": "8f1abae983acc7123257bece2afd334549dfe94d", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained 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": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8599059"]}, {"id": "35937ab3aaf3b8eee89180a1b892c3daa96d2bab", "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", "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": "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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00292.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"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"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "f0928c32a9b483dc0a0e6b34fa356ba525622edb", "title": "Landmark Detection in Low Resolution Faces with Semi-Supervised Learning", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.13255.pdf"], "doi": []}, {"id": "1e230f60702b7b9009088d7c3db31e50d0a399c9", "title": "Compressing Gradient Optimizers via Count-Sketches", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00179.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "2cc541baf1f0b46e87b77a448e972e44ae55f3ca", "title": "On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "Pontificia Universidad Cat\u00f3lica de Chile", "source_name": "Pontificia Universidad Católica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600370"]}, {"id": "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "title": "A Pipeline to Improve Face Recognition Datasets and Applications", "addresses": [{"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}, {"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8634724"]}, {"id": "3d85cf942efda695347c7d95485fcd1e6796ee3a", "title": "Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00112.pdf"], "doi": []}, {"id": "269c7aeca29dae51dca8208815f1c4c81bd471c2", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "32b91732ef7f19023fbc20452f2a047105af87f1", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "47b14a600e6728fb964b3cc964433480560142fa", "title": "Recognizing Disguised Faces in the Wild", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8663389"]}, {"id": "e42f9b2e975f5f55757b3b842b5a63a9e0600575", "title": "Large Scale Clustering with Variational EM for Gaussian Mixture Models", "addresses": [{"name": "University of Oldenburg", "source_name": "University of Oldenburg, Oldenburg, Germany", "street_adddress": "Ammerl\u00e4nder Heerstra\u00dfe 114-118, 26129 Oldenburg, Germany", "lat": "53.14749210", "lng": "8.18176450", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.00803.pdf"], "doi": []}, {"id": "21117380118ddce47b3c515c5228372c513e61ba", "title": "Deep Face Recognition: A Survey", "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/1804.06655.pdf"], "doi": []}, {"id": "e2e5093f8164b3c3bb5ac0d223c2100e9f334f6c", "title": "Unequal-training for Deep Face Recognition with Long-tailed Noisy Data", "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": "", "pdf": ["https://pdfs.semanticscholar.org/e2e5/093f8164b3c3bb5ac0d223c2100e9f334f6c.pdf"], "doi": []}, {"id": "4d46fd59364ed5ec8f50abe68cd7886379bfd80a", "title": "Learning from Millions of 3D Scans for Large-Scale 3D Face Recognition", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05942.pdf"], "doi": []}, {"id": "07c341ec8b82a3c4df9e0aeff53ef43a73f59829", "title": "AdaptiveFace: Adaptive Margin and Sampling for Face Recognition", "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"}, {"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": "2019", "pdf": ["https://pdfs.semanticscholar.org/cb76/e5fa6ef74de97a921d459654b8c3af1e71ba.pdf"], "doi": []}, {"id": "da9ffe46055b48028af2bf156c87f2b0d1feb99a", "title": "Few-shot learning for ear recognition", "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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3317646"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "fde9b77b36f678f4455e13a63d1f8d8148187f2a", "title": "Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00686.pdf"], "doi": []}, {"id": "3e4a49b86c9c34e27e00a0f250b3d82f269cf153", "title": "UniformFace: Learning Deep Equidistributed Representation for Face Recognition", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/3e4a/49b86c9c34e27e00a0f250b3d82f269cf153.pdf"], "doi": []}, {"id": "730e906ff2f3ce3da874435298b844f9a763cfe0", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "addresses": [{"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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "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/1812.00194.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "University of Nottingham Ningbo China", "source_name": "University of Nottingham Ningbo China", "street_adddress": "199 Taikang E Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.80344900", "lng": "121.56160900", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "77db92aeee3062161cc7e3b142f19563caef6756", "title": "IJB\u2013S: IARPA Janus Surveillance Video Benchmark", "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"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698584"]}, {"id": "6834b6a529c969e5feb1fb77713eff8f19704b31", "title": "Linkage Based Face Clustering via Graph Convolution Network", "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": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.11306.pdf"], "doi": []}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"], "doi": []}, {"id": "1a88203498270ccf50e7fae0edd1a7f28ba28f4f", "title": "A Scalable Formulation of Probabilistic Linear Discriminant Analysis : Applied to Face Recognition", "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"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b59c/ee1f647737ec3296ccb3daa25c890359c307.pdf"], "doi": []}, {"id": "36eac4877193fe0d137c9fd00962f1c54cca2e2b", "title": "Learning Channel-Wise Interactions for Binary Convolutional Neural Networks", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/36ea/c4877193fe0d137c9fd00962f1c54cca2e2b.pdf"], "doi": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"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"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "aa45e43f5b8ab488cf521275753f2eeb42f4a02e", "title": "DemogPairs: Quantifying the Impact of Demographic Imbalance in Deep Face Recognition", "addresses": [{"name": "Herta Security, Barcelona, Spain", "source_name": "Herta Security, Barcelona, Spain", "street_adddress": "Carrer de Pau Claris, 165, 08037 Barcelona, Spain", "lat": "41.39539080", "lng": "2.16344420", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8756625"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078973"]}, {"id": "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "title": "SREFI: Synthesis of realistic example face images", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06693.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "0782024d8aee50980cf16257e5940ff2645b977b", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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 Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "3cf1f89d73ca4b25399c237ed3e664a55cd273a2", "title": "Face Sketch Matching via Coupled Deep Transform Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02914.pdf"], "doi": []}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "9aa9379a390f547552943b4f6fb02470183493d5", "title": "GhostVLAD for Set-Based Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09951.pdf"], "doi": []}, {"id": "643d11703569766bed0a994941ae5f7b3e101659", "title": "Unsupervised Training for 3D Morphable Model Regression", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06098.pdf"], "doi": []}, {"id": "b143cf896cdc00965a24637f4c5b36b08b88a923", "title": "Modeling and Mapping Location-Dependent Human Appearance", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3368/975637d9b1a0ba217c4b9f41b79bda23a655.pdf"], "doi": []}, {"id": "907336b6bc7090bd60437c6e6b326632e702fb3c", "title": "Photo sleuth: combining human expertise and face recognition to identify historical portraits", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3302301"]}, {"id": "f264c1bd485b16e68915ad6f283d852d0cb2a255", "title": "EVALUATING SHORT-WAVE INFRARED IMAGES ON A CONVOLUTIONAL NEURAL NETWORK", "addresses": [{"name": "San Jose State University", "source_name": "San Jose State University", "street_adddress": "SJSU, El Paseo de Cesar E. Chavez, Downtown Historic District, Japantown, San Jos\u00e9, Santa Clara County, California, 95113, USA", "lat": "37.33519080", "lng": "-121.88126008", "type": "edu", "country": "United States"}, {"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}, {"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://pdfs.semanticscholar.org/f264/c1bd485b16e68915ad6f283d852d0cb2a255.pdf"], "doi": []}, {"id": "854aaeb2ad96d369a8d955b91dd7320056a71efb", "title": "M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.00168.pdf"], "doi": []}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "6d07e176c754ac42773690d4b4919a39df85d7ec", "title": "Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d07/e176c754ac42773690d4b4919a39df85d7ec.pdf"], "doi": []}, {"id": "4a75cda9341bbdcb9f370181e664508c66aee5d4", "title": "Efficient Decision-based Black-box Adversarial Attacks on Face Recognition", "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": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.04433.pdf"], "doi": []}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}, {"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Deutsche Welle, Bonn, Germany", "source_name": "Deutsche Welle, Bonn, Germany", "street_adddress": "DW, Gronau, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.71714970", "lng": "7.12825184", "type": "edu", "country": "Germany"}, {"name": "Expert Systems, Modena, Italy", "source_name": "Expert Systems, Modena, Italy", "street_adddress": "Viale Virgilio, 56/Q, 41123 Modena MO, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company", "country": "Italy"}, {"name": "GSI Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "GSI Universidad Polit-\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}, {"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}, {"name": "Paradigma Digital, Madrid, Spain", "source_name": "Paradigma Digital, Madrid, Spain", "street_adddress": "V\u00eda de las dos Castillas, 33, \u00c1tica 2, 28224 Pozuelo de Alarc\u00f3n, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company", "country": "Spain"}, {"name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "source_name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "street_adddress": "Chaloupkova 3002/1A, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "lat": "49.22383020", "lng": "16.59826020", "type": "edu", "country": "Czech Republic"}, {"name": "Siren Solutions, Dublin, Ireland", "source_name": "Siren Solutions, Dublin, Ireland", "street_adddress": "Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company", "country": "Ireland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269329", "http://doi.org/10.1109/TMM.2018.2798287", "https://www.wikidata.org/entity/Q57795813"]}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "6c7842d4062f2b755dd4aa2ca06705da86ac5370", "title": "Reconstructing 3D Face Models by Incremental Aggregation and Refinement of Depth Frames", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287309"]}, {"id": "e094f61a8d957000999dc03d0637df47bd05fe1a", "title": "Improving Face Anti-Spoofing by 3D Virtual Synthesis", "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": "2019", "pdf": ["https://arxiv.org/pdf/1901.00488.pdf"], "doi": []}, {"id": "732be2eeda341df5d5b057b05c6d2f6e0eee1171", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "f936a01b01a1ae1e9de85090cf200fbe123799bd", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"], "doi": []}, {"id": "32873f6111963607d3f768f4685fe8137fdd1253", "title": "Learning to Cluster Faces on an Affinity Graph", "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": "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.02749.pdf"], "doi": []}, {"id": "107677ff59b068d67b1a1f8b66435a5db310f264", "title": "FACE RECOGNITION WITH LOW FALSE POSITIVE ERROR RATE", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/1076/77ff59b068d67b1a1f8b66435a5db310f264.pdf"], "doi": []}, {"id": "413992b048847aa6e82631420799403e61516d23", "title": "Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4139/92b048847aa6e82631420799403e61516d23.pdf"], "doi": []}, {"id": "11a47a91471f40af5cf00449954474fd6e9f7694", "title": "NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification", "addresses": [{"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.mdpi.com/2078-2489/7/4/61/pdf"], "doi": ["http://doi.org/10.3390/info7040061"]}, {"id": "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "title": "Deep Transfer Network for Unconstrained Face Verification", "addresses": [{"name": "Beijing Institute of Graphic Communication, Beijing", "source_name": "Beijing Institute of Graphic Communication, Beijing", "street_adddress": "China, Beijing, Daxing, Qingyuan Rd, \u6e05\u6e90\u8def", "lat": "39.74388300", "lng": "116.33013400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234805"]}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "2359c3f763e96e0ee62b1119c897a32ce9715a77", "title": "Neural Computing on a Raspberry Pi : Applications to Zebrafish Behavior Monitoring", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2359/c3f763e96e0ee62b1119c897a32ce9715a77.pdf"], "doi": []}, {"id": "f76f74c6b7cd43daaa11c1eba25633c9c6cc95e9", "title": "Deformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8756575"]}, {"id": "7749009cfcc05b096811e10696dcee424409c39f", "title": "Residual Compensation Networks for Heterogeneous Face Recognition", "addresses": [{"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"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/7749/009cfcc05b096811e10696dcee424409c39f.pdf"], "doi": []}, {"id": "736f195b4c31400eb345d9a82ffebeb48cff6da8", "title": "A system-level perspective to understand the vulnerability of deep learning systems", "addresses": [{"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}, {"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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3288751"]}, {"id": "a7864df5b72e1b28c32dd793d86d57ebf44b3d34", "title": "A High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04830.pdf"], "doi": []}, {"id": "ff01bc3f49130d436fca24b987b7e3beedfa404d", "title": "Fuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical Characteristics of a Face", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.mdpi.com/2073-8994/8/8/75/pdf"], "doi": ["http://doi.org/10.3390/sym8080075"]}, {"id": "0334a8862634988cc684dacd4279c5c0d03704da", "title": "FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition", "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/1609.06591.pdf"], "doi": []}, {"id": "c98983592777952d1751103b4d397d3ace00852d", "title": "Face Synthesis from Facial Identity Features", "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://pdfs.semanticscholar.org/c989/83592777952d1751103b4d397d3ace00852d.pdf"], "doi": []}, {"id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "title": "VoxCeleb2: Deep Speaker Recognition.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8875/ae233bc074f5cd6c4ebba447b536a7e847a5.pdf"], "doi": []}, {"id": "b18858ad6ec88d8b443dffd3e944e653178bc28b", "title": "2017 Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b188/58ad6ec88d8b443dffd3e944e653178bc28b.pdf"], "doi": []}, {"id": "9fc17fa5708584fa848164461f82a69e97f6ed69", "title": "Additive Margin Softmax for Face Verification", "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 Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331118"]}, {"id": "115a14afac7d9ecede7ad071f55eb07b2c2fa6ad", "title": "Presentation of Several Secure Access Systems and Implementations", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8724986"]}, {"id": "9b07084c074ba3710fee59ed749c001ae70aa408", "title": "Computational Models of Face Perception.", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9b07/084c074ba3710fee59ed749c001ae70aa408.pdf"], "doi": []}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944942", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.38", "http://doi.org/10.1109/BigDataService.2017.38"]}, {"id": "e33ebb37c2692c3839956bda2ad801464c8d2d42", "title": "Low-resolution Visual Recognition via Deep Feature Distillation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8682926"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "6a133eb625cee083db848cc2f51a5cb54e28f67e", "title": "Noise-Tolerant Paradigm for Training Face Recognition CNNs", "addresses": [{"name": "Beijing University of Chemical Technology", "source_name": "Beijing University of Chemical Technology, Beijing, China", "street_adddress": "Chaoyang, China, 100096", "lat": "39.97095400", "lng": "116.42105300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10357.pdf"], "doi": []}, {"id": "c4696d47e0d43a6761742e15c262a224466c4b85", "title": "Correlation Congruence for Knowledge Distillation", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.01802.pdf"], "doi": []}, {"id": "a55dea7981ea0f90d1110005b5f5ca68a3175910", "title": "Are 1, 000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4db9/e5f19366fe5d6a98ca43c1d113dac823a14d.pdf"], "doi": []}, {"id": "bfd00e8dba4432d13cb26410fbeec00b071946f8", "title": "Face attribute prediction using off-the-shelf CNN features", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7550092"]}, {"id": "5a803d9334246cfb7762eb210c19459febdf4b22", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "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/1710.00870.pdf"], "doi": []}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "cf517aad72c17328486d759f22755e43a9cd1b76", "title": "Deep multi-factor forensic face recognition", "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": "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": ["https://pdfs.semanticscholar.org/cf51/7aad72c17328486d759f22755e43a9cd1b76.pdf"], "doi": []}, {"id": "0fbdaad9fe987dfecb187597675276073bc679c0", "title": "Bag of Negatives for Siamese Architectures", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.02391.pdf"], "doi": []}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "aaa2b45153051e23d5a35ccf9af8ecabc0fe24cd", "title": "1 How Good can Human Predict Facial Age ?", "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": "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://pdfs.semanticscholar.org/aaa2/b45153051e23d5a35ccf9af8ecabc0fe24cd.pdf"], "doi": []}, {"id": "73a6da41ae63e5e32327909eef6f78a05624425b", "title": "Beyond PCA: Deep Learning Approaches for Face Modeling and Aging", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/73a6/da41ae63e5e32327909eef6f78a05624425b.pdf"], "doi": []}, {"id": "ee58f4651fce3ff804fee472229259e0902f1b40", "title": "Eigenvector-Based Distance Metric Learning for Image Classification and Retrieval", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3340262"]}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Dailian University of Technology", "source_name": "Dailian University of Technology, Dalian, China", "street_adddress": "China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, \u51cc\u5de5\u8def2\u53f7 \u90ae\u653f\u7f16\u7801: 116023", "lat": "38.88038100", "lng": "121.52902100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "e3dacba4399fc66f31779060db730ea423f341d8", "title": "AdvHat: Real-world adversarial attack on ArcFace Face ID system", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.08705.pdf"], "doi": []}, {"id": "d4f100ca5edfe53b562f1d170b2c48939bab0e27", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "3c300649fd125ebd56e489086aabba7ac9f100f0", "title": "Unsupervised incremental learning of deep descriptors from video streams", "addresses": [{"name": "MICC - University of Florence", "source_name": "MICC - University of Florence, Italy", "street_adddress": "Viale Giovanni Battista Morgagni, 65, 50134 Firenze FI, Italy", "lat": "43.80243520", "lng": "11.24479160", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026276"]}, {"id": "73c07e0a998576bb9d9409e5eed713788c0be037", "title": "Large-Scale Long-Tailed Recognition in an Open World", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.05160.pdf"], "doi": []}, {"id": "13b2bc8101a2a7a0c95412c48f40ef95e798e9fb", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Emory University", "source_name": "Emory University, Atlanta, USA", "street_adddress": "201 Dowman Dr, Atlanta, GA 30322, USA", "lat": "33.79251950", "lng": "-84.32399890", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "09997e8f71dafb78680b8c5002e80f7f1d71b896", "title": "Leveraging Biometrics for Insider Misuse Identification", "addresses": [{"name": "Plymouth University", "source_name": "Plymouth University", "street_adddress": "Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37552690", "lng": "-4.13937687", "type": "edu", "country": "United Kingdom"}, {"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0999/7e8f71dafb78680b8c5002e80f7f1d71b896.pdf"], "doi": []}, {"id": "946309ee4a45dfff6dc3a52ae1268682db788904", "title": "Second Opinion : Supporting Last-Mile Person Identification with Crowdsourcing and Face Recognition", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/9463/09ee4a45dfff6dc3a52ae1268682db788904.pdf"], "doi": []}, {"id": "0598704b50ca85672f721e20a559df6d1a363787", "title": "Deep Learning for Face Recognition: Pride or Prejudiced?", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01219.pdf"], "doi": []}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "a52a69bf304d49fba6eac6a73c5169834c77042d", "title": "Margin Loss: Making Faces More Separable", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245803", "http://doi.org/10.1109/LSP.2017.2789251"]}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "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": "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": "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": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "698e010265693da378aa3baf90d2b195ebbcc2a3", "title": "Robust statistical deformable models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/698e/010265693da378aa3baf90d2b195ebbcc2a3.pdf"], "doi": []}, {"id": "7f246e2877d764842b588ca491677949233ee75b", "title": "Face Detection and Verification Using Lensless Cameras", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8590781"]}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025149"]}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272698", "http://doi.org/10.1109/BTAS.2017.8272698"]}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984059"]}, {"id": "76e333e5941a91da1fc4c5ddf9a06d02fea01496", "title": "FaceGenderID : Exploiting Gender Information in DCNNs Face Recognition Systems", "addresses": [{"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}, {"name": "University of Beira Interior, Portugal", "source_name": "IT - Instituto de Telecomunica\u00e7\u00f5es, University of Beira Interior, Portugal", "street_adddress": "IT - Instituto de Telecomunica\u00e7\u00f5es, 3810-193 Aveiro, Portugal", "lat": "40.63413220", "lng": "-8.65997260", "type": "edu", "country": "Portugal"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/76e3/33e5941a91da1fc4c5ddf9a06d02fea01496.pdf"], "doi": []}, {"id": "5234caf3bcc1edb0b38554b4ffddf5a46877dd45", "title": "Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.06290.pdf"], "doi": []}, {"id": "5e24dcafd1219cd77717e625895bf4abc4af7c09", "title": "Multi-View Face Recognition and Verification Based on Convolutional Neural Network", "addresses": [{"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633146"]}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "1bc59a186886e14f3b025dc3469d40d38d6c4803", "title": "Grand Challenge of 106-Point Facial Landmark Localization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8794971"]}, {"id": "228ea13041910c41b50d0052bdce924037c3bc6a", "title": "A Review Paper Between Open Source and Commercial SDK and Performance Comparisons of Face Matchers", "addresses": [{"name": "National Science and Technology Development Agency, Thailand", "source_name": "National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand", "street_adddress": "Pathum Thani 12120, Thailand", "lat": "14.09502500", "lng": "100.66471010", "type": "gov", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434495"]}, {"id": "2a09be75ebe85f64a198d20766872c66cb2f00d6", "title": "Person Recognition at a Distance: Improving Face Recognition Through Body Static Information", "addresses": [{"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545112", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545112", "http://doi.org/10.1109/ICPR.2018.8545112"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "732c32d7a71190407edc6475dd7aabd3c9a3c2fd", "title": "Face Match for Family Reunification: Real-World Face Image Retrieval", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c88c/e5ef33d5e544224ab50162d9883ff6429aa3.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "a879793dd57cbebb9f3be1018b8e7eb904ce546c", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "title": "To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04823.pdf"], "doi": []}, {"id": "75249ebb85b74e8932496272f38af274fbcfd696", "title": "Face Identification in Large Galleries", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7524/9ebb85b74e8932496272f38af274fbcfd696.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8063888", "http://doi.org/10.1109/JIOT.2017.2761801", "https://doi.org/10.1109/JIOT.2017.2761801"]}, {"id": "6d0546bf573bd398bbccf612a6accfb681f16bc6", "title": "Robust face recognition", "addresses": [{"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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8db8/d03a1428d463a9149796d1b954ac75955ad6.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "83e06eeccfda20ef3025ab5fb311c0fadeca32d8", "title": "Beyond the feedforward sweep : feedback computations in the visual cortex", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/83e0/6eeccfda20ef3025ab5fb311c0fadeca32d8.pdf"], "doi": []}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"], "doi": []}, {"id": "13bc74da897ee40dbf8662f0b11eb5a276006b30", "title": "Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet loss", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07923.pdf"], "doi": []}, {"id": "155c56f504768b7446896dc6bb1845b79c8c5322", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "addresses": [{"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "e7da564afdf8162489cbace970f26b239913d1f1", "title": "R 3 Adversarial Network for Cross Model Face Recognition", "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": "", "pdf": ["https://pdfs.semanticscholar.org/e7da/564afdf8162489cbace970f26b239913d1f1.pdf"], "doi": []}, {"id": "08f7ac64b420210aa46fcbbdb0f206215f2e0644", "title": "Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08f7/ac64b420210aa46fcbbdb0f206215f2e0644.pdf"], "doi": []}, {"id": "891dfc8c124680a5b03c8dbf84e6136286015861", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "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": "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "582edc19f2b1ab2ac6883426f147196c8306685a", "title": "Do We Really Need to Collect Millions of Faces for Effective Face Recognition?", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07057.pdf"], "doi": []}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"name": "University of Pavia", "source_name": "Computer and Biomedical Engineering, University of Pavia, Pavia, Italy", "street_adddress": "Corso Str. Nuova, 65, 27100 Pavia PV, Italy", "lat": "45.18671560", "lng": "9.15610410", "type": "edu", "country": "Italy"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119", "http://doi.org/10.1109/TIP.2018.2861359", "https://doi.org/10.1109/TIP.2018.2861359", "https://www.ncbi.nlm.nih.gov/pubmed/30059306"]}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"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": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"], "doi": []}, {"id": "91e17338a12b5e570907e816bff296b13177971e", "title": "Towards open-set face recognition using hashing functions", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_IJCB.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272751", "http://doi.org/10.1109/BTAS.2017.8272751"]}, {"id": "8181bf57f235ac8ee02c27cc28781174a19c342b", "title": "The unconstrained ear recognition challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}, {"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"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272761"]}, {"id": "a73bc5398c1ecf9ab8c755ad6af4d7e4774ca7ec", "title": "Gender shades : intersectional phenotypic and demographic evaluation of face datasets and gender classifiers", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a73b/c5398c1ecf9ab8c755ad6af4d7e4774ca7ec.pdf"], "doi": []}, {"id": "b378b6aee5845c58182cec730f356ec2bf4e60e1", "title": "Contributions in face detection with deep neural networks", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b378/b6aee5845c58182cec730f356ec2bf4e60e1.pdf"], "doi": []}, {"id": "1aac36122c07ecccfd59d912c22865801f096190", "title": "Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}, {"name": "University of Copenhagen", "source_name": "University of Copenhagen", "street_adddress": "K\u00f8benhavns Universitet, Krystalgade, K\u00f8dbyen, Vesterbro, K\u00f8benhavn, K\u00f8benhavns Kommune, Region Hovedstaden, 1165, Danmark", "lat": "55.68015020", "lng": "12.57232700", "type": "edu", "country": "Denmark"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03827.pdf"], "doi": []}, {"id": "58d0c140597aa658345230615fb34e2c750d164c", "title": "Continuous Biometric Verification for Non-Repudiation of Remote Services", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3098969"]}, {"id": "4cdb6144d56098b819076a8572a664a2c2d27f72", "title": "Face Synthesis for Eyeglass-Robust Face Recognition", "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/1806.01196.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "ac5d96111cf57a2062f627cbcefcd5303ba929d2", "title": "RegularFace: Deep Face Recognition via Exclusive Regularization", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/ac5d/96111cf57a2062f627cbcefcd5303ba929d2.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "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": "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": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "title": "Pose-Selective Max Pooling for Measuring Similarity", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07042.pdf"], "doi": []}, {"id": "270e5266a1f6e76954dedbc2caf6ff61a5fbf8d0", "title": "EmotioNet Challenge: Recognition of facial expressions of emotion in the wild", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01210.pdf"], "doi": []}, {"id": "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265510"]}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "addresses": [{"name": "Computer Vision Group (www.vision4uav.com), Centro de Autom\u00e1tica y Rob\u00f3tica (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006, Spain", "source_name": "Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain", "street_adddress": "Madrid, Spain", "lat": "40.41677540", "lng": "-3.70379020", "type": "edu", "country": "Spain"}, {"name": "Indian Institute of Information Technology, Sri City, India", "source_name": "Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "a581dab3ab41adfd843ac51af30d47022a5f855a", "title": "Training Deep Face Recognition Systems with Synthetic Data", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05891.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "53ea629b5933430eafa98692edf39ab2bd737d09", "title": "Probabilistic Face Embeddings", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.09658.pdf"], "doi": []}, {"id": "9d60bc023f5a1a36ed0b509c0f445fcad02d0abf", "title": "FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}, {"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.11179.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "f4a44b94d4b184e4638cb1019526170590f99ac4", "title": "AM-LFS: AutoML for Loss Function Search", "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"}, {"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": "2019", "pdf": ["https://arxiv.org/pdf/1905.07375.pdf"], "doi": []}, {"id": "659c15db147539006b08f238bf3ef5be0a9634f3", "title": "LEARNING QUALITY, AESTHETICS, AND FACIAL ATTRIBUTES FOR IMAGE ANNOTATION", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/659c/15db147539006b08f238bf3ef5be0a9634f3.pdf"], "doi": []}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"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"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "6bb2326c8981a07498555df64416d764f03a30c0", "title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07261.pdf"], "doi": []}, {"id": "e9bf13544548a4073613967689b6b1b8f2d9f699", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification 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"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477558", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558", "http://doi.org/10.1109/WACV.2016.7477558"]}, {"id": "89c7a842499c9ab4362cfdba61fe4f2ae3706fcf", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "4ad8178e285901c886e3e2e66f2340115347b23f", "title": "A Comprehensive Study on Center Loss for Deep Face Recognition", "addresses": [{"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": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01142-4"]}, {"id": "6a32c75f12f804bf0d6062240d472fa3dc998e1a", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "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": "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": "Singapore / National University of Singapore", "source_name": "A*STAR, Singapore / National University of Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "b61e8a314073c3550455e93a55c98e19afc30ee1", "title": "Loss Decomposition for Fast Learning in Large Output Spaces", "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", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b61e/8a314073c3550455e93a55c98e19afc30ee1.pdf"], "doi": []}, {"id": "00ecf52b6c6c76c4c74d3c0dfe42ad6064ac79cb", "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", "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": "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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00292.pdf"], "doi": []}, {"id": "8112ff3be88f31b100004b7ce19d68fc306f05e7", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "addresses": [{"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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "dbf1b8febb5047a04029139ee1a9e71cbd7e3cdd", "title": "Compressing Gradient Optimizers via Count-Sketches", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00179.pdf"], "doi": []}, {"id": "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "title": "Fast Face Image Synthesis with Minimal Training.", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "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": "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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 Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "57246142814d7010d3592e3a39a1ed819dd01f3b", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5724/6142814d7010d3592e3a39a1ed819dd01f3b.pdf"], "doi": []}, {"id": "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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 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": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "addresses": [{"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "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": "Robotics Institute at Carnegie Mellon University", "source_name": "Robotics Institute at Carnegie Mellon University, USA", "street_adddress": "Pittsburgh, PA 15213, USA", "lat": "40.44327410", "lng": "-79.94569950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "7b0ed3d67375a4542133c992f4e55fd4ade0cd90", "title": "Knowledge Distillation via Route Constrained Optimization", "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"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "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": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.09149.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "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/1710.00870.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "dataset": {"key": "megaface", "name_short": "MegaFace", "name_display": "MegaFace Dataset", "name_full": "MegaFace Dataset", "purpose": "face recognition", "comment": "", "created_by": "Ira Kemelmacher-Shlizerman", "funded_by": "Google, Intel, National Science Foundation", "funded_by_short": "", "used_by": "", "license": "", "url": "http://megaface.cs.washington.edu/", "verify_do": "Y", "verify_done": "", "cooperative": "N", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "sources": "flickr", "source_cat": "social media", "usernames": "Y", "names": "", "flickr_meta": "Y", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "4,753,520 ", "videos": "", "tracklets": "", "identities": "672,057 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "fr", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "key": "megaface", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "address": "", "name": "MegaFace", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, "addresses": [], "additional_papers": [{"paper_id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "key": "megaface", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "address": "", "name": "MegaFace", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"paper_id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "key": "megaface", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "year": "2015", "pdf": [], "address": "", "name": "MegaFace", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}], "citations": [{"id": "16fc85bc7dd8c86fa87667f4de9b324b8584b3f4", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network", "addresses": [{"name": "Mitsubishi Electr. Res. Lab., Cambridge, MA, USA", "source_name": "Mitsubishi Electr. Res. Lab., Cambridge, MA, USA", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10974.pdf"], "doi": []}, {"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "da57bcc1a6c3b12eece51eded72035d21af10584", "title": "VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing", "addresses": [{"name": "Horizon Robotics", "source_name": "Horizon Robotics", "street_adddress": "317 3F 1 Zhongguancun Street Haidian District Beijing, 100190 China", "lat": "39.97558000", "lng": "116.31126000", "type": "company", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05653.pdf"], "doi": []}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}, {"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"], "doi": []}, {"id": "4f686309f5a34d5a5c687539b71bac0bafd8476f", "title": "The Devil of Face Recognition is in the Noise", "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"}, {"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "343867ee70924b56d93d7c3680606cec76ba7d80", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3438/67ee70924b56d93d7c3680606cec76ba7d80.pdf"], "doi": []}, {"id": "8a2deb2b4216f6c065c5e955706ce157d96625a1", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8680708"]}, {"id": "8f1abae983acc7123257bece2afd334549dfe94d", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained 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": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8599059"]}, {"id": "35937ab3aaf3b8eee89180a1b892c3daa96d2bab", "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", "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": "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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00292.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"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"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "f0928c32a9b483dc0a0e6b34fa356ba525622edb", "title": "Landmark Detection in Low Resolution Faces with Semi-Supervised Learning", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.13255.pdf"], "doi": []}, {"id": "1e230f60702b7b9009088d7c3db31e50d0a399c9", "title": "Compressing Gradient Optimizers via Count-Sketches", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00179.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "2cc541baf1f0b46e87b77a448e972e44ae55f3ca", "title": "On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "Pontificia Universidad Cat\u00f3lica de Chile", "source_name": "Pontificia Universidad Católica de Chile", "street_adddress": "Av Libertador Bernardo O'Higgins 340, Santiago, Regi\u00f3n Metropolitana, Chile", "lat": "-33.44112790", "lng": "-70.64079330", "type": "edu", "country": "Chile"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600370"]}, {"id": "5b9c6ca84268cb283941ae28b73989c0cf7e2ac2", "title": "A Pipeline to Improve Face Recognition Datasets and Applications", "addresses": [{"name": "Louisiana State University", "source_name": "Louisiana State University", "street_adddress": "LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu", "country": "United States"}, {"name": "University of Insubria", "source_name": "University of Insubria, Varese, Italy", "street_adddress": "Via Ravasi, 2, 21100 Varese VA, Italy", "lat": "45.81454800", "lng": "8.82766500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8634724"]}, {"id": "3d85cf942efda695347c7d95485fcd1e6796ee3a", "title": "Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00112.pdf"], "doi": []}, {"id": "269c7aeca29dae51dca8208815f1c4c81bd471c2", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253595", "http://doi.org/10.1109/MSP.2017.2764116"]}, {"id": "32b91732ef7f19023fbc20452f2a047105af87f1", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "47b14a600e6728fb964b3cc964433480560142fa", "title": "Recognizing Disguised Faces in the Wild", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}, {"name": "University of Maryland at College Park", "source_name": "University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park, MD", "street_adddress": "8223 Paint Branch Dr, College Park, MD 20740, USA", "lat": "38.99081610", "lng": "-76.93626880", "type": "edu", "country": "United States"}, {"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8663389"]}, {"id": "e42f9b2e975f5f55757b3b842b5a63a9e0600575", "title": "Large Scale Clustering with Variational EM for Gaussian Mixture Models", "addresses": [{"name": "University of Oldenburg", "source_name": "University of Oldenburg, Oldenburg, Germany", "street_adddress": "Ammerl\u00e4nder Heerstra\u00dfe 114-118, 26129 Oldenburg, Germany", "lat": "53.14749210", "lng": "8.18176450", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.00803.pdf"], "doi": []}, {"id": "21117380118ddce47b3c515c5228372c513e61ba", "title": "Deep Face Recognition: A Survey", "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/1804.06655.pdf"], "doi": []}, {"id": "e2e5093f8164b3c3bb5ac0d223c2100e9f334f6c", "title": "Unequal-training for Deep Face Recognition with Long-tailed Noisy Data", "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": "", "pdf": ["https://pdfs.semanticscholar.org/e2e5/093f8164b3c3bb5ac0d223c2100e9f334f6c.pdf"], "doi": []}, {"id": "4d46fd59364ed5ec8f50abe68cd7886379bfd80a", "title": "Learning from Millions of 3D Scans for Large-Scale 3D Face Recognition", "addresses": [{"name": "University of Western Australia", "source_name": "University of Western Australia", "street_adddress": "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "lat": "-31.95040445", "lng": "115.79790037", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05942.pdf"], "doi": []}, {"id": "07c341ec8b82a3c4df9e0aeff53ef43a73f59829", "title": "AdaptiveFace: Adaptive Margin and Sampling for Face Recognition", "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"}, {"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": "2019", "pdf": ["https://pdfs.semanticscholar.org/cb76/e5fa6ef74de97a921d459654b8c3af1e71ba.pdf"], "doi": []}, {"id": "da9ffe46055b48028af2bf156c87f2b0d1feb99a", "title": "Few-shot learning for ear recognition", "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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3317646"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "fde9b77b36f678f4455e13a63d1f8d8148187f2a", "title": "Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00686.pdf"], "doi": []}, {"id": "3e4a49b86c9c34e27e00a0f250b3d82f269cf153", "title": "UniformFace: Learning Deep Equidistributed Representation for Face Recognition", "addresses": [{"name": "State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology", "source_name": "State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, UK", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tsinghua University & Beijing National Research Center for Information Science and Technology", "source_name": "Tsinghua University & Beijing National Research Center for Information Science and Technology, Beijing, China", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3e4a/49b86c9c34e27e00a0f250b3d82f269cf153.pdf"], "doi": []}, {"id": "730e906ff2f3ce3da874435298b844f9a763cfe0", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "addresses": [{"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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "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/1812.00194.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "University of Nottingham Ningbo China", "source_name": "University of Nottingham Ningbo China", "street_adddress": "199 Taikang E Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.80344900", "lng": "121.56160900", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "77db92aeee3062161cc7e3b142f19563caef6756", "title": "IJB\u2013S: IARPA Janus Surveillance Video Benchmark", "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"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698584"]}, {"id": "6834b6a529c969e5feb1fb77713eff8f19704b31", "title": "Linkage Based Face Clustering via Graph Convolution Network", "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": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.11306.pdf"], "doi": []}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"], "doi": []}, {"id": "1a88203498270ccf50e7fae0edd1a7f28ba28f4f", "title": "A Scalable Formulation of Probabilistic Linear Discriminant Analysis : Applied to Face Recognition", "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"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b59c/ee1f647737ec3296ccb3daa25c890359c307.pdf"], "doi": []}, {"id": "36eac4877193fe0d137c9fd00962f1c54cca2e2b", "title": "Learning Channel-Wise Interactions for Binary Convolutional Neural Networks", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/36ea/c4877193fe0d137c9fd00962f1c54cca2e2b.pdf"], "doi": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"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"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "aa45e43f5b8ab488cf521275753f2eeb42f4a02e", "title": "DemogPairs: Quantifying the Impact of Demographic Imbalance in Deep Face Recognition", "addresses": [{"name": "Herta Security, Barcelona, Spain", "source_name": "Herta Security, Barcelona, Spain", "street_adddress": "Carrer de Pau Claris, 165, 08037 Barcelona, Spain", "lat": "41.39539080", "lng": "2.16344420", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8756625"]}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078973"]}, {"id": "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "title": "SREFI: Synthesis of realistic example face images", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06693.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "0782024d8aee50980cf16257e5940ff2645b977b", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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 Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "3cf1f89d73ca4b25399c237ed3e664a55cd273a2", "title": "Face Sketch Matching via Coupled Deep Transform Learning", "addresses": [{"name": "IIIT Delhi, India", "source_name": "IIIT Delhi, India", "street_adddress": "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02914.pdf"], "doi": []}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "9aa9379a390f547552943b4f6fb02470183493d5", "title": "GhostVLAD for Set-Based Face Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09951.pdf"], "doi": []}, {"id": "643d11703569766bed0a994941ae5f7b3e101659", "title": "Unsupervised Training for 3D Morphable Model Regression", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "MIT CSAIL", "source_name": "MIT CSAIL", "street_adddress": "32 Vassar St, Cambridge, MA 02139, USA", "lat": "42.36194070", "lng": "-71.09043780", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.06098.pdf"], "doi": []}, {"id": "b143cf896cdc00965a24637f4c5b36b08b88a923", "title": "Modeling and Mapping Location-Dependent Human Appearance", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3368/975637d9b1a0ba217c4b9f41b79bda23a655.pdf"], "doi": []}, {"id": "907336b6bc7090bd60437c6e6b326632e702fb3c", "title": "Photo sleuth: combining human expertise and face recognition to identify historical portraits", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3302301"]}, {"id": "f264c1bd485b16e68915ad6f283d852d0cb2a255", "title": "EVALUATING SHORT-WAVE INFRARED IMAGES ON A CONVOLUTIONAL NEURAL NETWORK", "addresses": [{"name": "San Jose State University", "source_name": "San Jose State University", "street_adddress": "SJSU, El Paseo de Cesar E. Chavez, Downtown Historic District, Japantown, San Jos\u00e9, Santa Clara County, California, 95113, USA", "lat": "37.33519080", "lng": "-121.88126008", "type": "edu", "country": "United States"}, {"name": "University of Colorado at Colorado Springs", "source_name": "University of Colorado at Colorado Springs", "street_adddress": "1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA", "lat": "38.89646790", "lng": "-104.80505940", "type": "edu", "country": "United States"}, {"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://pdfs.semanticscholar.org/f264/c1bd485b16e68915ad6f283d852d0cb2a255.pdf"], "doi": []}, {"id": "854aaeb2ad96d369a8d955b91dd7320056a71efb", "title": "M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.00168.pdf"], "doi": []}, {"id": "3827f1cab643a57e3cd22fbffbf19dd5e8a298a8", "title": "One-Shot Face Recognition via Generative Learning", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373804", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00011", "http://doi.org/10.1109/FG.2018.00011"]}, {"id": "6d07e176c754ac42773690d4b4919a39df85d7ec", "title": "Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d07/e176c754ac42773690d4b4919a39df85d7ec.pdf"], "doi": []}, {"id": "4a75cda9341bbdcb9f370181e664508c66aee5d4", "title": "Efficient Decision-based Black-box Adversarial Attacks on Face Recognition", "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": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.04433.pdf"], "doi": []}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}, {"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Deutsche Welle, Bonn, Germany", "source_name": "Deutsche Welle, Bonn, Germany", "street_adddress": "DW, Gronau, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.71714970", "lng": "7.12825184", "type": "edu", "country": "Germany"}, {"name": "Expert Systems, Modena, Italy", "source_name": "Expert Systems, Modena, Italy", "street_adddress": "Viale Virgilio, 56/Q, 41123 Modena MO, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company", "country": "Italy"}, {"name": "GSI Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "GSI Universidad Polit-\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}, {"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}, {"name": "Paradigma Digital, Madrid, Spain", "source_name": "Paradigma Digital, Madrid, Spain", "street_adddress": "V\u00eda de las dos Castillas, 33, \u00c1tica 2, 28224 Pozuelo de Alarc\u00f3n, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company", "country": "Spain"}, {"name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "source_name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "street_adddress": "Chaloupkova 3002/1A, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "lat": "49.22383020", "lng": "16.59826020", "type": "edu", "country": "Czech Republic"}, {"name": "Siren Solutions, Dublin, Ireland", "source_name": "Siren Solutions, Dublin, Ireland", "street_adddress": "Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company", "country": "Ireland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269329", "http://doi.org/10.1109/TMM.2018.2798287", "https://www.wikidata.org/entity/Q57795813"]}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"], "doi": []}, {"id": "6c7842d4062f2b755dd4aa2ca06705da86ac5370", "title": "Reconstructing 3D Face Models by Incremental Aggregation and Refinement of Depth Frames", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3287309"]}, {"id": "e094f61a8d957000999dc03d0637df47bd05fe1a", "title": "Improving Face Anti-Spoofing by 3D Virtual Synthesis", "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": "2019", "pdf": ["https://arxiv.org/pdf/1901.00488.pdf"], "doi": []}, {"id": "732be2eeda341df5d5b057b05c6d2f6e0eee1171", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545642"]}, {"id": "f936a01b01a1ae1e9de85090cf200fbe123799bd", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"], "doi": []}, {"id": "32873f6111963607d3f768f4685fe8137fdd1253", "title": "Learning to Cluster Faces on an Affinity Graph", "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": "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.02749.pdf"], "doi": []}, {"id": "107677ff59b068d67b1a1f8b66435a5db310f264", "title": "FACE RECOGNITION WITH LOW FALSE POSITIVE ERROR RATE", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/1076/77ff59b068d67b1a1f8b66435a5db310f264.pdf"], "doi": []}, {"id": "413992b048847aa6e82631420799403e61516d23", "title": "Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4139/92b048847aa6e82631420799403e61516d23.pdf"], "doi": []}, {"id": "11a47a91471f40af5cf00449954474fd6e9f7694", "title": "NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification", "addresses": [{"name": "Southwest University", "source_name": "Southwest University", "street_adddress": "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "lat": "29.82366295", "lng": "106.42050016", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://www.mdpi.com/2078-2489/7/4/61/pdf"], "doi": ["http://doi.org/10.3390/info7040061"]}, {"id": "6ca6ade6c9acb833790b1b4e7ee8842a04c607f7", "title": "Deep Transfer Network for Unconstrained Face Verification", "addresses": [{"name": "Beijing Institute of Graphic Communication, Beijing", "source_name": "Beijing Institute of Graphic Communication, Beijing", "street_adddress": "China, Beijing, Daxing, Qingyuan Rd, \u6e05\u6e90\u8def", "lat": "39.74388300", "lng": "116.33013400", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3234805"]}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "2359c3f763e96e0ee62b1119c897a32ce9715a77", "title": "Neural Computing on a Raspberry Pi : Applications to Zebrafish Behavior Monitoring", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2359/c3f763e96e0ee62b1119c897a32ce9715a77.pdf"], "doi": []}, {"id": "f76f74c6b7cd43daaa11c1eba25633c9c6cc95e9", "title": "Deformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face Recognition", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8756575"]}, {"id": "7749009cfcc05b096811e10696dcee424409c39f", "title": "Residual Compensation Networks for Heterogeneous Face Recognition", "addresses": [{"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"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/7749/009cfcc05b096811e10696dcee424409c39f.pdf"], "doi": []}, {"id": "736f195b4c31400eb345d9a82ffebeb48cff6da8", "title": "A system-level perspective to understand the vulnerability of deep learning systems", "addresses": [{"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}, {"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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3288751"]}, {"id": "a7864df5b72e1b28c32dd793d86d57ebf44b3d34", "title": "A High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04830.pdf"], "doi": []}, {"id": "ff01bc3f49130d436fca24b987b7e3beedfa404d", "title": "Fuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical Characteristics of a Face", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["http://www.mdpi.com/2073-8994/8/8/75/pdf"], "doi": ["http://doi.org/10.3390/sym8080075"]}, {"id": "0334a8862634988cc684dacd4279c5c0d03704da", "title": "FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition", "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/1609.06591.pdf"], "doi": []}, {"id": "c98983592777952d1751103b4d397d3ace00852d", "title": "Face Synthesis from Facial Identity Features", "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://pdfs.semanticscholar.org/c989/83592777952d1751103b4d397d3ace00852d.pdf"], "doi": []}, {"id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "title": "VoxCeleb2: Deep Speaker Recognition.", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8875/ae233bc074f5cd6c4ebba447b536a7e847a5.pdf"], "doi": []}, {"id": "b18858ad6ec88d8b443dffd3e944e653178bc28b", "title": "2017 Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b188/58ad6ec88d8b443dffd3e944e653178bc28b.pdf"], "doi": []}, {"id": "9fc17fa5708584fa848164461f82a69e97f6ed69", "title": "Additive Margin Softmax for Face Verification", "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 Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331118"]}, {"id": "115a14afac7d9ecede7ad071f55eb07b2c2fa6ad", "title": "Presentation of Several Secure Access Systems and Implementations", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8724986"]}, {"id": "35ddd4896d9396d5dcff3f32bd79ff7cf3e82777", "title": "ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}, {"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": "2019", "pdf": ["https://arxiv.org/pdf/1905.10620.pdf"], "doi": []}, {"id": "9b07084c074ba3710fee59ed749c001ae70aa408", "title": "Computational Models of Face Perception.", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9b07/084c074ba3710fee59ed749c001ae70aa408.pdf"], "doi": []}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944942", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.38", "http://doi.org/10.1109/BigDataService.2017.38"]}, {"id": "e33ebb37c2692c3839956bda2ad801464c8d2d42", "title": "Low-resolution Visual Recognition via Deep Feature Distillation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8682926"]}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"], "doi": []}, {"id": "6a133eb625cee083db848cc2f51a5cb54e28f67e", "title": "Noise-Tolerant Paradigm for Training Face Recognition CNNs", "addresses": [{"name": "Beijing University of Chemical Technology", "source_name": "Beijing University of Chemical Technology, Beijing, China", "street_adddress": "Chaoyang, China, 100096", "lat": "39.97095400", "lng": "116.42105300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10357.pdf"], "doi": []}, {"id": "c4696d47e0d43a6761742e15c262a224466c4b85", "title": "Correlation Congruence for Knowledge Distillation", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.01802.pdf"], "doi": []}, {"id": "a55dea7981ea0f90d1110005b5f5ca68a3175910", "title": "Are 1, 000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4db9/e5f19366fe5d6a98ca43c1d113dac823a14d.pdf"], "doi": []}, {"id": "bfd00e8dba4432d13cb26410fbeec00b071946f8", "title": "Face attribute prediction using off-the-shelf CNN features", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7550092"]}, {"id": "5a803d9334246cfb7762eb210c19459febdf4b22", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "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/1710.00870.pdf"], "doi": []}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "cf517aad72c17328486d759f22755e43a9cd1b76", "title": "Deep multi-factor forensic face recognition", "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": "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": ["https://pdfs.semanticscholar.org/cf51/7aad72c17328486d759f22755e43a9cd1b76.pdf"], "doi": []}, {"id": "0fbdaad9fe987dfecb187597675276073bc679c0", "title": "Bag of Negatives for Siamese Architectures", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.02391.pdf"], "doi": []}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "aaa2b45153051e23d5a35ccf9af8ecabc0fe24cd", "title": "1 How Good can Human Predict Facial Age ?", "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": "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://pdfs.semanticscholar.org/aaa2/b45153051e23d5a35ccf9af8ecabc0fe24cd.pdf"], "doi": []}, {"id": "73a6da41ae63e5e32327909eef6f78a05624425b", "title": "Beyond PCA: Deep Learning Approaches for Face Modeling and Aging", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/73a6/da41ae63e5e32327909eef6f78a05624425b.pdf"], "doi": []}, {"id": "ee58f4651fce3ff804fee472229259e0902f1b40", "title": "Eigenvector-Based Distance Metric Learning for Image Classification and Retrieval", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3340262"]}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Dailian University of Technology", "source_name": "Dailian University of Technology, Dalian, China", "street_adddress": "China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, \u51cc\u5de5\u8def2\u53f7 \u90ae\u653f\u7f16\u7801: 116023", "lat": "38.88038100", "lng": "121.52902100", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"], "doi": []}, {"id": "e3dacba4399fc66f31779060db730ea423f341d8", "title": "AdvHat: Real-world adversarial attack on ArcFace Face ID system", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.08705.pdf"], "doi": []}, {"id": "d4f100ca5edfe53b562f1d170b2c48939bab0e27", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "3c300649fd125ebd56e489086aabba7ac9f100f0", "title": "Unsupervised incremental learning of deep descriptors from video streams", "addresses": [{"name": "MICC - University of Florence", "source_name": "MICC - University of Florence, Italy", "street_adddress": "Viale Giovanni Battista Morgagni, 65, 50134 Firenze FI, Italy", "lat": "43.80243520", "lng": "11.24479160", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026276"]}, {"id": "73c07e0a998576bb9d9409e5eed713788c0be037", "title": "Large-Scale Long-Tailed Recognition in an Open World", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.05160.pdf"], "doi": []}, {"id": "13b2bc8101a2a7a0c95412c48f40ef95e798e9fb", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Emory University", "source_name": "Emory University, Atlanta, USA", "street_adddress": "201 Dowman Dr, Atlanta, GA 30322, USA", "lat": "33.79251950", "lng": "-84.32399890", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "09997e8f71dafb78680b8c5002e80f7f1d71b896", "title": "Leveraging Biometrics for Insider Misuse Identification", "addresses": [{"name": "Plymouth University", "source_name": "Plymouth University", "street_adddress": "Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK", "lat": "50.37552690", "lng": "-4.13937687", "type": "edu", "country": "United Kingdom"}, {"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0999/7e8f71dafb78680b8c5002e80f7f1d71b896.pdf"], "doi": []}, {"id": "946309ee4a45dfff6dc3a52ae1268682db788904", "title": "Second Opinion : Supporting Last-Mile Person Identification with Crowdsourcing and Face Recognition", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/9463/09ee4a45dfff6dc3a52ae1268682db788904.pdf"], "doi": []}, {"id": "0598704b50ca85672f721e20a559df6d1a363787", "title": "Deep Learning for Face Recognition: Pride or Prejudiced?", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.01219.pdf"], "doi": []}, {"id": "a50fa5048c61209149de0711b5f1b1806b43da00", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575241", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00009", "http://doi.org/10.1109/CVPRW.2018.00009"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "a52a69bf304d49fba6eac6a73c5169834c77042d", "title": "Margin Loss: Making Faces More Separable", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8245803", "http://doi.org/10.1109/LSP.2017.2789251"]}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "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": "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": "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": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "698e010265693da378aa3baf90d2b195ebbcc2a3", "title": "Robust statistical deformable models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/698e/010265693da378aa3baf90d2b195ebbcc2a3.pdf"], "doi": []}, {"id": "7f246e2877d764842b588ca491677949233ee75b", "title": "Face Detection and Verification Using Lensless Cameras", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8590781"]}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "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": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3025149"]}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"name": "EURECOM", "source_name": "EURECOM", "street_adddress": "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "lat": "43.61438600", "lng": "7.07112500", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272698", "http://doi.org/10.1109/BTAS.2017.8272698"]}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2984059"]}, {"id": "76e333e5941a91da1fc4c5ddf9a06d02fea01496", "title": "FaceGenderID : Exploiting Gender Information in DCNNs Face Recognition Systems", "addresses": [{"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}, {"name": "University of Beira Interior, Portugal", "source_name": "IT - Instituto de Telecomunica\u00e7\u00f5es, University of Beira Interior, Portugal", "street_adddress": "IT - Instituto de Telecomunica\u00e7\u00f5es, 3810-193 Aveiro, Portugal", "lat": "40.63413220", "lng": "-8.65997260", "type": "edu", "country": "Portugal"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/76e3/33e5941a91da1fc4c5ddf9a06d02fea01496.pdf"], "doi": []}, {"id": "5234caf3bcc1edb0b38554b4ffddf5a46877dd45", "title": "Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network", "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": "2019", "pdf": ["https://arxiv.org/pdf/1908.06290.pdf"], "doi": []}, {"id": "5e24dcafd1219cd77717e625895bf4abc4af7c09", "title": "Multi-View Face Recognition and Verification Based on Convolutional Neural Network", "addresses": [{"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8633146"]}, {"id": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575545", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00008", "http://doi.org/10.1109/CVPRW.2018.00008"]}, {"id": "1bc59a186886e14f3b025dc3469d40d38d6c4803", "title": "Grand Challenge of 106-Point Facial Landmark Localization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8794971"]}, {"id": "228ea13041910c41b50d0052bdce924037c3bc6a", "title": "A Review Paper Between Open Source and Commercial SDK and Performance Comparisons of Face Matchers", "addresses": [{"name": "National Science and Technology Development Agency, Thailand", "source_name": "National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand", "street_adddress": "Pathum Thani 12120, Thailand", "lat": "14.09502500", "lng": "100.66471010", "type": "gov", "country": "Thailand"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434495"]}, {"id": "2a09be75ebe85f64a198d20766872c66cb2f00d6", "title": "Person Recognition at a Distance: Improving Face Recognition Through Body Static Information", "addresses": [{"name": "Universidad Autonoma de Madrid", "source_name": "Universidad Autonoma de Madrid", "street_adddress": "Facultad de Medicina de la Universidad Aut\u00f3noma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, \u00c1rea metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, Espa\u00f1a", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545112", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545112", "http://doi.org/10.1109/ICPR.2018.8545112"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "732c32d7a71190407edc6475dd7aabd3c9a3c2fd", "title": "Face Match for Family Reunification: Real-World Face Image Retrieval", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c88c/e5ef33d5e544224ab50162d9883ff6429aa3.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "a879793dd57cbebb9f3be1018b8e7eb904ce546c", "title": "Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01777.pdf"], "doi": []}, {"id": "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "title": "To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04823.pdf"], "doi": []}, {"id": "75249ebb85b74e8932496272f38af274fbcfd696", "title": "Face Identification in Large Galleries", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7524/9ebb85b74e8932496272f38af274fbcfd696.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8063888", "http://doi.org/10.1109/JIOT.2017.2761801", "https://doi.org/10.1109/JIOT.2017.2761801"]}, {"id": "6d0546bf573bd398bbccf612a6accfb681f16bc6", "title": "Robust face recognition", "addresses": [{"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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8db8/d03a1428d463a9149796d1b954ac75955ad6.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "83e06eeccfda20ef3025ab5fb311c0fadeca32d8", "title": "Beyond the feedforward sweep : feedback computations in the visual cortex", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/83e0/6eeccfda20ef3025ab5fb311c0fadeca32d8.pdf"], "doi": []}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}, {"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"], "doi": []}, {"id": "13bc74da897ee40dbf8662f0b11eb5a276006b30", "title": "Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet loss", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom", "street_adddress": "De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK", "lat": "51.76175610", "lng": "-0.24679970", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07923.pdf"], "doi": []}, {"id": "155c56f504768b7446896dc6bb1845b79c8c5322", "title": "CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing", "addresses": [{"name": "Universitat de Barcelona", "source_name": "Universitat de Barcelona & Computer Vision Center, Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00408.pdf"], "doi": []}, {"id": "e7da564afdf8162489cbace970f26b239913d1f1", "title": "R 3 Adversarial Network for Cross Model Face Recognition", "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": "", "pdf": ["https://pdfs.semanticscholar.org/e7da/564afdf8162489cbace970f26b239913d1f1.pdf"], "doi": []}, {"id": "08f7ac64b420210aa46fcbbdb0f206215f2e0644", "title": "Trojaning Attack on Neural Networks", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08f7/ac64b420210aa46fcbbdb0f206215f2e0644.pdf"], "doi": []}, {"id": "891dfc8c124680a5b03c8dbf84e6136286015861", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "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": "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "db0880947452943a038e8d4c348107ef631d26a9", "title": "Learning from Longitudinal Face Demonstration\u2014Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://arxiv.org/pdf/1711.10520", "https://arxiv.org/pdf/1711.10520.pdf", "https://export.arxiv.org/pdf/1711.10520"], "doi": ["https://doi.org/10.1007/s11263-019-01165-5"]}, {"id": "582edc19f2b1ab2ac6883426f147196c8306685a", "title": "Do We Really Need to Collect Millions of Faces for Effective Face Recognition?", "addresses": [{"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}, {"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07057.pdf"], "doi": []}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"name": "University of Pavia", "source_name": "Computer and Biomedical Engineering, University of Pavia, Pavia, Italy", "street_adddress": "Corso Str. Nuova, 65, 27100 Pavia PV, Italy", "lat": "45.18671560", "lng": "9.15610410", "type": "edu", "country": "Italy"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119", "http://doi.org/10.1109/TIP.2018.2861359", "https://doi.org/10.1109/TIP.2018.2861359", "https://www.ncbi.nlm.nih.gov/pubmed/30059306"]}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"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": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"], "doi": []}, {"id": "91e17338a12b5e570907e816bff296b13177971e", "title": "Towards open-set face recognition using hashing functions", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. Pres. Ant\u00f4nio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil", "lat": "-19.86908780", "lng": "-43.96638410", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_IJCB.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272751", "http://doi.org/10.1109/BTAS.2017.8272751"]}, {"id": "8181bf57f235ac8ee02c27cc28781174a19c342b", "title": "The unconstrained ear recognition challenge", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}, {"name": "Islamic Azad University", "source_name": "Islamic Azad University", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "34.84529990", "lng": "48.55962120", "type": "edu", "country": "Iran"}, {"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"}, {"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272761"]}, {"id": "a73bc5398c1ecf9ab8c755ad6af4d7e4774ca7ec", "title": "Gender shades : intersectional phenotypic and demographic evaluation of face datasets and gender classifiers", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a73b/c5398c1ecf9ab8c755ad6af4d7e4774ca7ec.pdf"], "doi": []}, {"id": "b378b6aee5845c58182cec730f356ec2bf4e60e1", "title": "Contributions in face detection with deep neural networks", "addresses": [{"name": "Pontifical Catholic University of Rio Grande do Sul", "source_name": "Pontifical Catholic University of Rio Grande do Sul", "street_adddress": "Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil", "lat": "-30.05934460", "lng": "-51.17349120", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b378/b6aee5845c58182cec730f356ec2bf4e60e1.pdf"], "doi": []}, {"id": "1aac36122c07ecccfd59d912c22865801f096190", "title": "Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions", "addresses": [{"name": "University of Malta", "source_name": "University of Malta", "street_adddress": "University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta", "lat": "35.90232260", "lng": "14.48341890", "type": "edu", "country": "Malta"}, {"name": "University of Copenhagen", "source_name": "University of Copenhagen", "street_adddress": "K\u00f8benhavns Universitet, Krystalgade, K\u00f8dbyen, Vesterbro, K\u00f8benhavn, K\u00f8benhavns Kommune, Region Hovedstaden, 1165, Danmark", "lat": "55.68015020", "lng": "12.57232700", "type": "edu", "country": "Denmark"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03827.pdf"], "doi": []}, {"id": "58d0c140597aa658345230615fb34e2c750d164c", "title": "Continuous Biometric Verification for Non-Repudiation of Remote Services", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3098969"]}, {"id": "4cdb6144d56098b819076a8572a664a2c2d27f72", "title": "Face Synthesis for Eyeglass-Robust Face Recognition", "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/1806.01196.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "ac5d96111cf57a2062f627cbcefcd5303ba929d2", "title": "RegularFace: Deep Face Recognition via Exclusive Regularization", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/ac5d/96111cf57a2062f627cbcefcd5303ba929d2.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "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": "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": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "title": "Pose-Selective Max Pooling for Measuring Similarity", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07042.pdf"], "doi": []}, {"id": "270e5266a1f6e76954dedbc2caf6ff61a5fbf8d0", "title": "EmotioNet Challenge: Recognition of facial expressions of emotion in the wild", "addresses": [{"name": "Ohio State University", "source_name": "The Ohio State University", "street_adddress": "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "lat": "40.00471095", "lng": "-83.02859368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.01210.pdf"], "doi": []}, {"id": "71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265510"]}, {"id": "726f76f11e904d7fcb12736c276a0b00eb5cde49", "title": "A Performance Comparison of Loss Functions for Deep Face Recognition", "addresses": [{"name": "Computer Vision Group (www.vision4uav.com), Centro de Autom\u00e1tica y Rob\u00f3tica (CAR) UPM-CSIC, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006, Spain", "source_name": "Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain", "street_adddress": "Madrid, Spain", "lat": "40.41677540", "lng": "-3.70379020", "type": "edu", "country": "Spain"}, {"name": "Indian Institute of Information Technology, Sri City, India", "source_name": "Computer Vision Group, Indian Institute of Information Technology, Sri City, Andhra Pradesh, 517646, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05903.pdf"], "doi": []}, {"id": "a581dab3ab41adfd843ac51af30d47022a5f855a", "title": "Training Deep Face Recognition Systems with Synthetic Data", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05891.pdf"], "doi": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"], "doi": []}, {"id": "53ea629b5933430eafa98692edf39ab2bd737d09", "title": "Probabilistic Face Embeddings", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.09658.pdf"], "doi": []}, {"id": "9d60bc023f5a1a36ed0b509c0f445fcad02d0abf", "title": "FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks", "addresses": [{"name": "University of La Rochelle", "source_name": "Laboratoire MIA, University of La Rochelle, La Rochelle, France", "street_adddress": "23 Avenue Albert Einstein, 17000 La Rochelle, France", "lat": "46.14764610", "lng": "-1.15494150", "type": "edu", "country": "France"}, {"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.11179.pdf"], "doi": []}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "f4a44b94d4b184e4638cb1019526170590f99ac4", "title": "AM-LFS: AutoML for Loss Function Search", "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"}, {"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": "2019", "pdf": ["https://arxiv.org/pdf/1905.07375.pdf"], "doi": []}, {"id": "659c15db147539006b08f238bf3ef5be0a9634f3", "title": "LEARNING QUALITY, AESTHETICS, AND FACIAL ATTRIBUTES FOR IMAGE ANNOTATION", "addresses": [{"name": "University of Milano-Bicocca", "source_name": "University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy", "street_adddress": "Edificio U6, Universit\u00e0 degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy", "lat": "45.51838300", "lng": "9.21345200", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/659c/15db147539006b08f238bf3ef5be0a9634f3.pdf"], "doi": []}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780896"]}, {"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"}, {"name": "NIST", "source_name": "National Institute of Standards and Technology (NIST), Gaithersburg, MD", "street_adddress": "100 Bureau Dr, Gaithersburg, MD 20899, USA", "lat": "39.14004000", "lng": "-77.21850600", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, {"id": "6bb2326c8981a07498555df64416d764f03a30c0", "title": "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07261.pdf"], "doi": []}, {"id": "e9bf13544548a4073613967689b6b1b8f2d9f699", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification 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"}, {"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477558", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558", "http://doi.org/10.1109/WACV.2016.7477558"]}, {"id": "89c7a842499c9ab4362cfdba61fe4f2ae3706fcf", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "4ad8178e285901c886e3e2e66f2340115347b23f", "title": "A Comprehensive Study on Center Loss for Deep Face Recognition", "addresses": [{"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": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-018-01142-4"]}, {"id": "6a32c75f12f804bf0d6062240d472fa3dc998e1a", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "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": "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": "Singapore / National University of Singapore", "source_name": "A*STAR, Singapore / National University of Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "b61e8a314073c3550455e93a55c98e19afc30ee1", "title": "Loss Decomposition for Fast Learning in Large Output Spaces", "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", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b61e/8a314073c3550455e93a55c98e19afc30ee1.pdf"], "doi": []}, {"id": "00ecf52b6c6c76c4c74d3c0dfe42ad6064ac79cb", "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", "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": "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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00292.pdf"], "doi": []}, {"id": "8112ff3be88f31b100004b7ce19d68fc306f05e7", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "addresses": [{"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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "dbf1b8febb5047a04029139ee1a9e71cbd7e3cdd", "title": "Compressing Gradient Optimizers via Count-Sketches", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00179.pdf"], "doi": []}, {"id": "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "title": "Fast Face Image Synthesis with Minimal Training.", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "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": "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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 Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "57246142814d7010d3592e3a39a1ed819dd01f3b", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5724/6142814d7010d3592e3a39a1ed819dd01f3b.pdf"], "doi": []}, {"id": "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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 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": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "addresses": [{"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "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": "Robotics Institute at Carnegie Mellon University", "source_name": "Robotics Institute at Carnegie Mellon University, USA", "street_adddress": "Pittsburgh, PA 15213, USA", "lat": "40.44327410", "lng": "-79.94569950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "7b0ed3d67375a4542133c992f4e55fd4ade0cd90", "title": "Knowledge Distillation via Route Constrained Optimization", "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"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "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": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.09149.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "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/1710.00870.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/final/ufdd.json b/site/datasets/final/ufdd.json
index 13a9cad5..786a7190 100644
--- a/site/datasets/final/ufdd.json
+++ b/site/datasets/final/ufdd.json
@@ -1 +1 @@
-{"id": "3531332efe19be21e7401ba1f04570a142617236", "dataset": {"key": "ufdd", "name_short": "UFDD", "name_display": "UFDD", "name_full": "Unconstrained Face Detection Dataset", "purpose": "face detection with of distractors like fog, blurr etc", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://ufdd.info/#myCarousel", "verify_do": "Y", "verify_done": "", "cooperative": "N", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "sources": "google, bing, yahoo, pixabay, pixels, flickr, unsplash, vimeo, baidu", "source_cat": "", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2018", "ongoing": "", "images": "6,424 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "1024", "height": "", "color": "Y", "gray": "", "tags": "fr", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "3531332efe19be21e7401ba1f04570a142617236", "key": "ufdd", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10275.pdf"], "address": "", "name": "UFDD", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "774c9a3d7a38060550ed47ce8a3e4177fa1115e1", "title": "Improving Face Detection Performance with 3D-Rendered Synthetic Data", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07363.pdf"], "doi": []}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "3531332efe19be21e7401ba1f04570a142617236", "dataset": {"key": "ufdd", "name_short": "UFDD", "name_display": "UFDD", "name_full": "Unconstrained Face Detection Dataset", "purpose": "face detection with of distractors like fog, blurr etc", "comment": "", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "https://ufdd.info/#myCarousel", "verify_do": "Y", "verify_done": "", "cooperative": "N", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "sources": "google, bing, yahoo, pixabay, pixels, flickr, unsplash, vimeo, baidu", "source_cat": "", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2018", "ongoing": "", "images": "6,424 ", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "1024", "height": "", "color": "Y", "gray": "", "tags": "fr", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "3531332efe19be21e7401ba1f04570a142617236", "key": "ufdd", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10275.pdf"], "address": "", "name": "UFDD", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"id": "774c9a3d7a38060550ed47ce8a3e4177fa1115e1", "title": "Improving Face Detection Performance with 3D-Rendered Synthetic Data", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07363.pdf"], "doi": []}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/final/voc.json b/site/datasets/final/voc.json
index fa7d291b..884013db 100644
--- a/site/datasets/final/voc.json
+++ b/site/datasets/final/voc.json
@@ -1 +1 @@
-{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "dataset": {"key": "voc", "name_short": "VOC", "name_display": "VOC Dataset", "name_full": "Pascal VOC Dataset", "purpose": "Object classification", "comment": "object classification, but contains faces, images number is ALL images of the set", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://host.robots.ox.ac.uk/pascal/VOC/", "verify_do": "Y", "verify_done": "", "cooperative": "N", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "indoor": "N", "outdoor": "N", "campus": "", "cyberspace": "Y", "parent": "", "sources": "flickr", "source_cat": "social media", "usernames": "", "names": "N", "flickr_meta": "", "year_start": "2005", "year_end": "2012", "year_published": "2012", "ongoing": "", "images": "11,530 ", "videos": "0 ", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "obj", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "key": "voc", "title": "The Pascal Visual Object Classes (VOC) Challenge", "year": "2009", "pdf": ["http://eprints.pascal-network.org/archive/00006187/01/PascalVOC_IJCV2009.pdf", "http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc09.pdf", "http://pascallin.ecs.soton.ac.uk/challenges/VOC/pubs/everingham10.pdf", "http://www.comp.leeds.ac.uk/me/Publications/ijcv10.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2010/Everingham10/everingham10.pdf", "https://www.research.ed.ac.uk/portal/files/7879113/ijcv_voc09.pdf"], "address": {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, "name": "VOC", "doi": ["https://doi.org/10.1007/s11263-009-0275-4", "https://www.wikidata.org/entity/Q56594395"]}, "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "additional_papers": [], "citations": [{"id": "f9d171019bfeb71733fe36f7fae14f342ca9e51c", "title": "Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f9d1/71019bfeb71733fe36f7fae14f342ca9e51c.pdf"], "doi": []}, {"id": "912760092c200d1151900ff0e34acb113de43c3c", "title": "DNN-Train : Benchmarking and Analyzing DNN Training", "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://pdfs.semanticscholar.org/9127/60092c200d1151900ff0e34acb113de43c3c.pdf"], "doi": []}, {"id": "38b4ac4a0802fdb63dea6769dd1aee075cc3f87d", "title": "Boundary-sensitive Network for Portrait Segmentation", "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"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08675.pdf"], "doi": []}, {"id": "25d7da85858a4d89b7de84fd94f0c0a51a9fc67a", "title": "Selective Search for Object Recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": ["http://graphics.cs.cmu.edu/courses/16-824/2016_spring/slides/seg_3.pdf", "http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf", "https://pure.uva.nl/ws/files/19494140/UijlingsIJCV2013.pdf", "https://staff.fnwi.uva.nl/th.gevers/pub/GeversIJCV2013.pdf", "https://webcourse.cs.technion.ac.il/236815/Spring2016/ho/WCFiles/01_object_proposals_6pp.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0620-5"]}, {"id": "1b3be14d267b3302fd0a0ac0be630cdf2a8ba00b", "title": "Color Image Reconstruction with Perceptual Compressive Sensing", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546222", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546222", "http://doi.org/10.1109/ICPR.2018.8546222"]}, {"id": "87e4f376ed8515f04c75bc06f6b4cc7d2b1ecb69", "title": "Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Tarbiat Modares University", "source_name": "Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran", "street_adddress": "Tehran Province, Tehran, Jalal Al Ahmad St, Iran", "lat": "35.72140940", "lng": "51.38155860", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10243.pdf"], "doi": []}, {"id": "06fc643a48464fd8280d11c1189f49afacbd43a4", "title": "Semantic mapping using object-class segmentation of RGB-D images", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany", "source_name": "Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany", "street_adddress": "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "lat": "50.74890520", "lng": "7.20233730", "type": "company", "country": "Germany"}], "year": "2012", "pdf": ["http://ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/theses/Nenad_Biresev_Master_Thesis_03_2012.pdf", "http://www.researchgate.net/profile/Sven_Behnke/publication/230556906_Semantic_Mapping_Using_Object-Class_Segmentation_of_RGB-D_Images/links/0912f5016a98439287000000.pdf", "https://pdfs.semanticscholar.org/06fc/643a48464fd8280d11c1189f49afacbd43a4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385983", "http://doi.org/10.1109/IROS.2012.6385983"]}, {"id": "7f5793c967d53d0a3e88e8bba895336b92d5da90", "title": "Dense interest features for video processing", "addresses": [{"name": "KU Leuven ESAT-PSI, iMinds", "source_name": "KU Leuven ESAT-PSI, iMinds", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026167", "http://doi.org/10.1109/ICIP.2014.7026167"]}, {"id": "fbb4f4959756798aabba8034cb3167756b191811", "title": "Supervised Infinite Feature Selection", "addresses": [{"name": "University of Guilan", "source_name": "University of Guilan, Rasht, Guilan, Iran", "street_adddress": "Rasht, Gilan Province, Iran", "lat": "37.19361670", "lng": "49.64096930", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02665.pdf"], "doi": []}, {"id": "f35953687697b3455fe89b1f07504daaa6ebf4c8", "title": "Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks", "addresses": [{"name": "Naval University of Engineering", "source_name": "Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China", "street_adddress": "717 Jiefang Ave, Qiaokou Qu, Wuhan Shi, Hubei Sheng, China, 430072", "lat": "30.57562020", "lng": "114.24262180", "type": "mil", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7946140", "http://doi.org/10.1109/LGRS.2017.2673118"]}, {"id": "193a69489230de1013dff9af1232e5379cc5282f", "title": "Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia", "source_name": "Integrated Management Coastal Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/193a/69489230de1013dff9af1232e5379cc5282f.pdf"], "doi": []}, {"id": "744108530678ee667b9c1220933bed074794d9e2", "title": "A Scene Recognition and Semantic Analysis Approach to Unhealthy Sitting Posture Detection during Screen-Reading", "addresses": [{"name": "Nanchang University", "source_name": "Nanchang University, Nanchang, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.68352900", "lng": "115.93734700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7441/08530678ee667b9c1220933bed074794d9e2.pdf"], "doi": []}, {"id": "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "title": "2 D-Driven 3 D Object Detection in RGB-D Images", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/225c/318f3143b9b9d6c0f7a87672bd1d9d2901f4.pdf"], "doi": []}, {"id": "693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab", "title": "A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition", "addresses": [{"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": "Chinese Academy of Sciences, Shenzhen, China", "source_name": "Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "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"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/536b/d55a69a5f536fc4450ac4f482d47333b0270.pdf"], "doi": []}, {"id": "e726dd07b6b4e5369f3b6031b36f01cd45cfd645", "title": "Online Spatio-temporal Structural Context Learning for Visual Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3ef1/4559db209f8c399b76a51f1cef294c8136dc.pdf"], "doi": []}, {"id": "0bca0ca7bb642b747797c17a4899206116fb0b25", "title": "Color attributes for object detection", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248068"]}, {"id": "9906a396a67a1b19e98ae8d5d65ca604dfcbf727", "title": "Robust visual tracking based on L1 expanded template", "addresses": [{"name": "Bournemouth University", "source_name": "Bournemouth University", "street_adddress": "Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK", "lat": "50.74223495", "lng": "-1.89433739", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8108954", "http://doi.org/10.1109/ICMLC.2017.8108954"]}, {"id": "1622f0de2d24225ef6ea21003fa94d4a5836aac8", "title": "Deep Bottleneck Feature for Image Classification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749314"]}, {"id": "2e9c4c12a2e18bd0cffbf5180e4475b773517250", "title": "A novel fuzzy feature encoding approach for image classification", "addresses": [{"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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7737815", "http://doi.org/10.1109/FUZZ-IEEE.2016.7737815"]}, {"id": "334a8aa8664637a74217aede4c368058640a8203", "title": "Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358901", "http://doi.org/10.1109/URAI.2015.7358901"]}, {"id": "e7895feb2de9007ea1e47b0ea5952afd5af08b3d", "title": "ME R-CNN: Multi-Expert R-CNN for Object Detection", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01069.pdf"], "doi": []}, {"id": "dc5e9f75235dcb4ec39259f82574cd6ffd3611de", "title": "Analysis of Multi-planar Probability Maps for People Localization in Overlapping Camera Systems", "addresses": [{"name": "UPMC, France", "source_name": "Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France", "street_adddress": "4 Place Jussieu, 75005 Paris, France", "lat": "48.84710360", "lng": "2.35749900", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659031"]}, {"id": "f4901354f843b058bef649d14a9fc67c51943da8", "title": "Poster : Image Suitability for Graphical Passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f490/1354f843b058bef649d14a9fc67c51943da8.pdf"], "doi": []}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "68eb33c49b7cf7d5df056cf0113bd21bb2659151", "title": "What could move? Finding cars, pedestrians and bicyclists in 3D laser data", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://www.robots.ox.ac.uk/~mobile/Papers/2012ICRA_wang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224734", "http://doi.org/10.1109/ICRA.2012.6224734"]}, {"id": "c2a2093b4163616b83398e503ae9ed948f4f6a2b", "title": "A Dual-CNN Model for Multi-label Classification by Leveraging Co-occurrence Dependencies Between Labels", "addresses": [{"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mima.sdu.edu.cn/(X(1)S(ar3myg55nqom1l55ttix5kjj))/Images/publication/Dual-CNN-ML.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-77380-3_30"]}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "cd342fc28d8dcad80e090d2fdfd727a656201c6e", "title": "Algorithm Selection Platform in Real-World Intelligent Systems", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d  \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cd34/2fc28d8dcad80e090d2fdfd727a656201c6e.pdf"], "doi": []}, {"id": "bea1958ecdcc5279672bed0f2ba8de5a84b0ce64", "title": "Towards reasoning based representations: Deep Consistence Seeking Machine", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1389041717300256?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cogsys.2017.08.004"]}, {"id": "23453a37beea310b53419be45fe266bcf243ab49", "title": "Camera based target recognition for maritime awareness", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}, {"name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "source_name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "street_adddress": "Piazza Monte Grappa, 4, 00195 Roma RM, Italy", "lat": "41.91852800", "lng": "12.46855900", "type": "company", "country": "Italy"}], "year": "2012", "pdf": ["http://fusion.isif.org/proceedings/fusion12CD/html/pdf/270_425.pdf", "http://www.dis.uniroma1.it/~bloisi/papers/bloisi-maritime-recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6290543", "http://ieeexplore.ieee.org/document/6290543/"]}, {"id": "28094e414200918e3b3fd0f7e5e3e9d29b092be4", "title": "Optimizing Image Acquisition Systems for Autonomous Driving", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2809/4e414200918e3b3fd0f7e5e3e9d29b092be4.pdf"], "doi": []}, {"id": "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "title": "Training Deep Networks with Structured Layers by Matrix Backpropagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.07838.pdf"], "doi": []}, {"id": "18fe63c013983bea53be7d559ef36a1f385ca6ea", "title": "DR AF T Supervision Beyond Human Annotations for Learning Visual Representations", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/18fe/63c013983bea53be7d559ef36a1f385ca6ea.pdf"], "doi": []}, {"id": "5638516780883fa91827ed095fe2ace103a2f941", "title": "Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025474", "http://doi.org/10.1109/ICIP.2014.7025474"]}, {"id": "5075c16908a72d506aa19e10e12e79ed9383db48", "title": "Lecture 16 : Recognizing Objects by Parts", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5075/c16908a72d506aa19e10e12e79ed9383db48.pdf"], "doi": []}, {"id": "c4ecc025ef8b0e3bb873bca4b504a76bd7d9dc8b", "title": "Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/c4ec/c025ef8b0e3bb873bca4b504a76bd7d9dc8b.pdf"], "doi": []}, {"id": "73883181800edffac983fb110233dd5a50a10c11", "title": "Region-based fully convolutional networks for vertical corner line detection", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266465", "http://doi.org/10.1109/ISPACS.2017.8266465"]}, {"id": "06443cc014711e2e9cb6b8625362b022826d233e", "title": "Accident Forecasting in CCTV Traffic Camera Videos", "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": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05782.pdf"], "doi": []}, {"id": "d0b083befa0034bcd4a1349336fb30158157e6d8", "title": "A Semantic Distance Based Nearest Neighbor Method for Image Annotation", "addresses": [{"name": "Inner Mongolia University", "source_name": "College of Computer Science, Inner Mongolia University, Hohhot, China", "street_adddress": "Saihan, Hohhot, Inner Mongolia, China, 010000", "lat": "40.81426100", "lng": "111.68929800", "type": "edu", "country": "China"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d0b0/83befa0034bcd4a1349336fb30158157e6d8.pdf"], "doi": []}, {"id": "dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb", "title": "Improving Accuracy of the Edgebox Approach", "addresses": [{"name": "Utah State University", "source_name": "Utah State University", "street_adddress": "Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA", "lat": "41.74115040", "lng": "-111.81223090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dbed/fc2f75e3f821cb6a4b82ae85dc4f48ff1cbb.pdf"], "doi": []}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}, {"id": "f4c42c58c6649538c85b85b5357b29793798109b", "title": "Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection", "addresses": [{"name": "Roswell Park Cancer Institute, Buffalo, NY", "source_name": "Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA", "street_adddress": "665 Elm St, Buffalo, NY 14203, USA", "lat": "42.89881950", "lng": "-78.86458720", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7847313", "http://doi.org/10.1109/TMI.2017.2665671", "https://www.ncbi.nlm.nih.gov/pubmed/28186883", "https://www.wikidata.org/entity/Q38967536"]}, {"id": "23834ef411abf22da58d5bd1d9c1cb2896713f62", "title": "Learning Action Primitives for Multi-level Video Event Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2383/4ef411abf22da58d5bd1d9c1cb2896713f62.pdf"], "doi": []}, {"id": "48674565d0737bb422406d757c02042759b635ae", "title": "A benchmark for semantic image segmentation", "addresses": [{"name": "Danang University of Technology", "source_name": "Danang University of Technology, Vietnam", "street_adddress": "54 Nguy\u1ec5n L\u01b0\u01a1ng B\u1eb1ng, Ho\u00e0 Kh\u00e1nh B\u1eafc, Li\u00ean Chi\u1ec3u, \u0110\u00e0 N\u1eb5ng 550000, Vietnam", "lat": "16.07359750", "lng": "108.14994570", "type": "edu", "country": "Vietnam"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": ["http://www.ntu.edu.sg/home/asjfcai/Benchmark_Website/368.pdf", "http://www3.ntu.edu.sg/home/asjfcai/ICME13_Hui_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607512", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607512", "http://doi.org/10.1109/ICME.2013.6607512"]}, {"id": "a1f33473ea3b8e98fee37e32ecbecabc379e07a0", "title": "Image Segmentation by Cascaded Region Agglomeration", "addresses": [{"name": "Toyota Technological Institute, Chicago", "source_name": "Toyota Technological Institute (Chicago, US", "street_adddress": "Toyota Technological Institute, 6045, South Kenwood Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78471120", "lng": "-87.59260567", "type": "edu", "country": "United States"}, {"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": "2013", "pdf": ["http://cs.brown.edu/people/ren/publications/cvpr2013/cascade_final.pdf", "http://ttic.uchicago.edu/~gregory/papers/cascade_cvpr2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Image_Segmentation_by_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619106", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.262", "http://doi.org/10.1109/CVPR.2013.262"]}, {"id": "95785e3ce8cf0360ab328e5eae4cabff5b17308b", "title": "Multi-scale video text detection based on corner and stroke width verification", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706387", "http://doi.org/10.1109/VCIP.2013.6706387"]}, {"id": "128eff1cd06f74a9a7357d291f02dd627c9b22ad", "title": "Close-Range Human Detection for Head-Mounted Cameras", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/128e/ff1cd06f74a9a7357d291f02dd627c9b22ad.pdf"], "doi": []}, {"id": "7acd36ba0b59849d49bfc01cef11d18d2bcad76f", "title": "Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells.", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10804.pdf"], "doi": []}, {"id": "1a20ddce2349bc995dceea66cd2378f8888c8027", "title": "SAN: Learning Relationship Between Convolutional Features for Multi-scale Object Detection", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04974.pdf"], "doi": []}, {"id": "4e65c9f0a64b6a4333b12e2adc3861ad75aca83b", "title": "Image Classification Using Super-Vector Coding of Local Image Descriptors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "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": "2010", "pdf": ["https://pdfs.semanticscholar.org/4e65/c9f0a64b6a4333b12e2adc3861ad75aca83b.pdf"], "doi": []}, {"id": "9a5516d8752202f5d6e542a983dc2e7fe59013e4", "title": "Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data", "addresses": [{"name": "Kookmin University", "source_name": "Kookmin University", "street_adddress": "\uad6d\ubbfc\ub300\ud559\uad50\uc55e, \uc815\ub989\ub85c, \uc815\ub9892\ub3d9, \uc815\ub989\ub3d9, \uc131\ubd81\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02708, \ub300\ud55c\ubbfc\uad6d", "lat": "37.61075540", "lng": "126.99466350", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622161", "http://doi.org/10.1109/BigData.2018.8622161"]}, {"id": "7888a3dc1b9a7516f940f4a3f4316584e4f41b35", "title": "Effects of target typicality on categorical search.", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7888/a3dc1b9a7516f940f4a3f4316584e4f41b35.pdf"], "doi": []}, {"id": "dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f", "title": "Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dfd5/2ff9957c91dfbf3780ffffea2cc8ea6de81f.pdf"], "doi": []}, {"id": "7675774227157bec91218d6798680f58deaf8bb3", "title": "Learning View Priors for Single-view 3D Reconstruction.", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10719.pdf"], "doi": []}, {"id": "2385007824daaf9eac9476fccb1501b7ac166ceb", "title": "Task-driven Visual Saliency and Attention-based Visual Question Answering", "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/1702.06700.pdf"], "doi": []}, {"id": "c3d98891a2879b966bd90e0bb9299c3d2a91be6e", "title": "Webly-supervised visual concept learning with cardinality guided instance mining and clustered multitask refinement", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2017%5CConference%5C2017-ICME-CV-NISAIJIE%5C08019489.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019489", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019489", "http://doi.org/10.1109/ICME.2017.8019489"]}, {"id": "9f4078773c8ea3f37951bf617dbce1d4b3795839", "title": "Leveraging Inexpensive Supervision Signals for Visual Learning", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/9f40/78773c8ea3f37951bf617dbce1d4b3795839.pdf"], "doi": []}, {"id": "280895aa15bc8308f919d4cad666e826e82608f4", "title": "Curious George: An Integrated Visual Search Platform", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://www.cs.ubc.ca/labs/lci/curious_george/pubs/meger_srvc_crv_2010.pdf", "http://www.cs.ubc.ca/~little/links/linked-papers/megerCRV2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5479479", "http://doi.ieeecomputersociety.org/10.1109/CRV.2010.21", "http://doi.org/10.1109/CRV.2010.21"]}, {"id": "a7edb6726667875e3ebebe17065779be7cbf5623", "title": "Efficient Cross-Domain Image Retrieval by Multi-Level Matching and Spatial Verification for Structural Similarity", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2655032"]}, {"id": "3b4f6956aba3c0a8c444349868b2263d3124aa66", "title": "Seeded Laplacian: An interactive image segmentation approach using eigenfunctions", "addresses": [{"name": "Engineering Mathematics - Computer and Systems Engineering", "source_name": "Engineering Mathematics - Computer and Systems Engineering", "street_adddress": "110 8th St, Troy, NY 12180, USA", "lat": "42.72962060", "lng": "-73.68029310", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ahmed-taha.com/wp-content/uploads/2015/09/icip2015_presentation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350749", "http://doi.org/10.1109/ICIP.2015.7350749"]}, {"id": "0547c44cb896e1cc38130ae8cc6b04dc21179045", "title": "Fast-Match: Fast Affine Template Matching", "addresses": [{"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"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"}, {"name": "Weizmann Institute, Rehovot, Israel", "source_name": "Weizmann Institute, Rehovot, Israel", "street_adddress": "Weizmann Institute, Rehovot, Israel", "lat": "31.90418700", "lng": "34.80737800", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research Labs, Haifa, Israel", "source_name": "Yahoo Research Labs, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/FastMatch_cvpr_2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c331.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Korman_FasT-Match_Fast_Affine_2013_CVPR_paper.pdf", "http://www.eng.tau.ac.il/~simonk/FastMatch/FastMatch_net_construction.pdf", "http://www.eng.tau.ac.il/~simonk/publications/FastMatch_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0926-1", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619146"]}, {"id": "788d2921dedf20464a09c1038a5c2f06d2ff54a7", "title": "Towards the Internet of Services: The THESEUS Research Program", "addresses": [{"name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "source_name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "street_adddress": "Otto-Hahn-Ring 6, 81739 M\u00fcnchen, Germany", "lat": "48.09159280", "lng": "11.64982970", "type": "company", "country": "Germany"}, {"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH,  Saarbr\u00fccken, Germany", "source_name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH,  Saarbr\u00fccken, Germany", "street_adddress": "Campus D3 2, 66123 Saarbr\u00fccken, Germany", "lat": "49.25681100", "lng": "7.04217100", "type": "edu", "country": "Germany"}, {"name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "source_name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "street_adddress": "Europaallee 10, 67657 Kaiserslautern, Germany", "lat": "49.45618650", "lng": "7.80415990", "type": "edu", "country": "Belgium"}, {"name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "source_name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "street_adddress": "Einsteinufer 37, 10587 Berlin, Germany", "lat": "52.51629000", "lng": "13.32500000", "type": "edu", "country": "Germany"}, {"name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "source_name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "street_adddress": "Hasso-Plattner-Ring 7, 69190 Walldorf, Germany", "lat": "49.29446970", "lng": "8.63673580", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-06755-1"]}, {"id": "625c8f0309d4664a4594cb8a6d9116c22848f8c9", "title": "Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7091017", "http://doi.org/10.1109/TMM.2015.2425143"]}, {"id": "a04e5495fa71a459459ad92f7a4a447ffe4c373a", "title": "Learning to Segment Object Candidates via Recursive Neural Networks", "addresses": [{"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://export.arxiv.org/pdf/1612.01057"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418394", "http://doi.org/10.1109/TIP.2018.2859025", "https://www.ncbi.nlm.nih.gov/pubmed/30040644"]}, {"id": "393d34faf86df2c9d8246a7d6ba669133fe9207d", "title": "Visual tracking of a moving object via the soft cosine measure", "addresses": [{"name": "Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez", "source_name": "LIIAN Laboratory, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco", "street_adddress": "Fes 30050, Morocco", "lat": "34.03343710", "lng": "-4.97686630", "type": "edu", "country": "Morocco"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075521", "http://doi.org/10.1109/ATSIP.2017.8075521"]}, {"id": "a6b553a00e60cd1d33f91dc726fa0216728c20e9", "title": "Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384735", "http://doi.org/10.1109/TPAMI.2016.2519021", "https://www.ncbi.nlm.nih.gov/pubmed/26800528", "https://www.wikidata.org/entity/Q50538843"]}, {"id": "b3d8705d46a1d63b40a76bbcf8822b2e90b3b9ad", "title": "Efficient Labelling of Pedestrian Supervisions", "addresses": [{"name": "UCSI University", "source_name": "Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia", "street_adddress": "Persiaran Alam Damai, Alam Damai, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia", "lat": "3.07740920", "lng": "101.73212300", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b3d8/705d46a1d63b40a76bbcf8822b2e90b3b9ad.pdf"], "doi": []}, {"id": "59b21f61ac46e1f982cbd9f49cb855ba5fcd3c45", "title": "CCNY at TRECVID 2014 : Surveillance Event Detection", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8028/6720d33e63f470f43db4723a58bdc6d8b450.pdf"], "doi": []}, {"id": "d13c01d8218ddc744dffb040a8dce055ebd3000f", "title": "ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)", "addresses": [{"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": "Rochester University", "source_name": "Computer Science Depart., Rochester University, USA", "street_adddress": "Computer Studies Building, Intercampus Dr #734, Rochester, NY 14620, USA", "lat": "43.12504330", "lng": "-77.62978540", "type": "edu", "country": "United States"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "EIS, Huazhong Univ. Sci. and Tech., China", "source_name": "EIS, Huazhong Univ. Sci. and Tech., China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"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"}, {"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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546163", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546163", "http://doi.org/10.1109/ICPR.2018.8546163"]}, {"id": "64b9675e924974fdec78a7272b27c7e7ec63a608", "title": "Depth-aware object instance segmentation", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"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": ["http://www.cs.umanitoba.ca/~ywang/papers/icip17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296296", "http://doi.org/10.1109/ICIP.2017.8296296"]}, {"id": "8680cec120c3717c2178aafdf45186fd04d49875", "title": "Automatic graphic logo detection via Fast Region-based Convolutional Networks", "addresses": [{"name": "University of Coimbra", "source_name": "University of Coimbra", "street_adddress": "Reitoria da Universidade de Coimbra, Rua de Entre-Col\u00e9gios, Almedina, Alta, Almedina, S\u00e9 Nova, Santa Cruz, Almedina e S\u00e3o Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal", "lat": "40.20759510", "lng": "-8.42566148", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06083.pdf"], "doi": []}, {"id": "4980511ea7ac286b7fff0456216425287bc9a083", "title": "Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph", "addresses": [{"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4980/511ea7ac286b7fff0456216425287bc9a083.pdf"], "doi": []}, {"id": "ab5eb89bd154b43d1704657eb56d7ba5fc0d0138", "title": "Investigations of an \" Objectness \" Measure for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ab5e/b89bd154b43d1704657eb56d7ba5fc0d0138.pdf"], "doi": []}, {"id": "a609d96399ea52d4d1026b416f181581af0e6fbc", "title": "A random-forest random field approach for cellular image segmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868103", "http://doi.org/10.1109/ISBI.2014.6868103"]}, {"id": "d6d7dcdcf66fe83e49d175cd9d8ac0b507d0e9d8", "title": "Recovering Occlusion Boundaries from an Image", "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", "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": "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": "2010", "pdf": ["http://dhoiem.cs.illinois.edu/publications/ijcv2010_occlusion.pdf"], "doi": ["https://doi.org/10.1007/s11263-010-0400-4"]}, {"id": "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "title": "Weakly supervised human body detection under arbitrary poses", "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": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/conference/2016/CYWICIP-2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532427", "http://doi.org/10.1109/ICIP.2016.7532427"]}, {"id": "295bc82821cfde872a8c1baeec8594f3bdb94ae4", "title": "Structured Weak Semantic Space Construction for Visual Categorization", "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"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8008774", "http://doi.org/10.1109/TNNLS.2017.2728060", "https://www.ncbi.nlm.nih.gov/pubmed/28809716", "https://www.wikidata.org/entity/Q38372181"]}, {"id": "131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8", "title": "Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677517", "http://doi.org/10.1109/TMM.2013.2293424", "http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2955&context=sis_research"]}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"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": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "f832fdf1fac092b4140bf81d38e6bc6af5c1ea65", "title": "Instance-Level Human Parsing via Part Grouping Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00157.pdf"], "doi": []}, {"id": "83b2dc1b81e5dd420bc030a8d67b5ed36b5b0c5e", "title": "Supervised hierarchical Pitman-Yor process for natural scene segmentation", "addresses": [{"name": "ICSI, UC Berkeley", "source_name": "ICSI, UC Berkeley", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/shyr_etal_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995647", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995647", "http://doi.org/10.1109/CVPR.2011.5995647"]}, {"id": "3027c9d0659a89c3bbad1c7e31c474e8dd4f934d", "title": "Automatic Extraction of Built-Up Areas From Panchromatic and Multispectral Remote Sensing Images Using Double-Stream Deep Convolutional Neural Networks", "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": "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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477097", "http://doi.org/10.1109/JSTARS.2018.2871046"]}, {"id": "4699af09d3d52f9a97d13f5690bcbf580959d3cf", "title": "YOLOv 3 : An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4699/af09d3d52f9a97d13f5690bcbf580959d3cf.pdf"], "doi": []}, {"id": "10f13579084670291019c6e8ef55f5cd35c926b6", "title": "Closed-Form Approximate CRF Training for Scalable Image Segmentation", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7088/0e0ba2478c7250918ee9b7accc6993d13ba4.pdf"], "doi": []}, {"id": "c14c2c3b9bbb3b232f601042fe9fde5fa450e595", "title": "Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01031.pdf"], "doi": []}, {"id": "19a3e5495b420c1f5da283bf39708a6e833a6cc5", "title": "Attributes and categories for generic instance search from one example", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tao_Attributes_and_Categories_2015_CVPR_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2015/TaoCVPR2015/TaoCVPR2015.pdf", "https://pure.uva.nl/ws/files/2571573/167606_TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298613", "http://doi.org/10.1109/CVPR.2015.7298613"]}, {"id": "b61ae8216a7c3a5a3202478cd6f18bf3014e2342", "title": "Robust Pedestrian Detection by Combining Visible and Thermal Infrared Cameras", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1f50/d437901304a20f17713bc4a1935f842c57fa.pdf"], "doi": []}, {"id": "c17b85fc95591573bc356650522d303f8d76aeb9", "title": "Robust Structural Sparse Tracking", "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 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": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami18_rsst.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267329", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2797082", "http://doi.org/10.1109/TPAMI.2018.2797082", "https://www.ncbi.nlm.nih.gov/pubmed/29994599"]}, {"id": "922cd0026bd6e5cf60f901f080c8bdddeae72c1a", "title": "Deep CNN Ensemble with Data Augmentation for Object Detection", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07224.pdf"], "doi": []}, {"id": "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "title": "Asking for Help with the Right Question by Predicting Human Visual Performance", "addresses": [{"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebbc/4569b767323c5bf6917c0efdce5d172e721d.pdf"], "doi": []}, {"id": "78611941ba25ea5e3d850a940c9e3a293798a08d", "title": "A Semi-Supervised Image Classification Model Based on Improved Ensemble Projection Algorithm", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8125090", "http://doi.org/10.1109/ACCESS.2017.2778881"]}, {"id": "579f0108283f119227de6a485069cda3c7945fa3", "title": "Deep neural networks can be improved using human-derived contextual expectations", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/579f/0108283f119227de6a485069cda3c7945fa3.pdf"], "doi": []}, {"id": "0e2af97f07625cb3cf5e30f1c9d807124cbbc850", "title": "From Large Scale Image Categorization to Entry-Level Categories", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://acberg.com/papers/naming_iccv2013.pdf", "http://cse.umich.edu/cse/awards/pdfs/naming_iccv2013.pdf", "http://web.missouri.edu/~hantx/ECE8001/Presentation_papers/From%20Large%20Scale%20Image%20Categorization%20to%20Entry-Level%20Categories.pdf", "http://www.cs.unc.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cs.virginia.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Ordonez_From_Large_Scale_2013_ICCV_paper.pdf", "http://www.tamaraberg.com/papers/entrylevel.pdf", "https://web.cs.hacettepe.edu.tr/~nazli/courses/bil722/slides/week8_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751455", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.344", "http://doi.org/10.1109/ICCV.2013.344"]}, {"id": "09ae02eb0359363134a7a5ca912ea60769b07031", "title": "A Smoother Way to Train Structured Prediction Models", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.03228.pdf"], "doi": []}, {"id": "6c289ce7cd1c8514f71bf7dc25b1b203b98f8129", "title": "Semantic-Aware Image Smoothing", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c28/9ce7cd1c8514f71bf7dc25b1b203b98f8129.pdf"], "doi": []}, {"id": "8587d26cbcff3e86b5acff0467e10c8f2069f4e7", "title": "FigureSeer: Parsing Result-Figures in Research Papers", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8587/d26cbcff3e86b5acff0467e10c8f2069f4e7.pdf"], "doi": []}, {"id": "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "title": "Tabula rasa: Model transfer for object category detection", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://cs.brown.edu/~ls/teaching_CMU_16-824/slides_tz-1.pdf", "http://eprints.pascal-network.org/archive/00008313/01/aytar11.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/elad-paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/aytar11.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126504", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126504", "http://doi.org/10.1109/ICCV.2011.6126504"]}, {"id": "c43c6fd93f1d171487ac2d35d4744199db69f244", "title": "Use of convolutional neural networks to automate the detection of wildlife from remote cameras", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274594"]}, {"id": "848db2f0758c314ddbc0bc4030633501df3a9276", "title": "TextMountain: Accurate Scene Text Detection via Instance Segmentation", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12786.pdf"], "doi": []}, {"id": "2c149eff297ffe7d762fd453571fb7cb1761d7a5", "title": "In Defence of Negative Mining for Annotating Weakly Labelled Data", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2c14/9eff297ffe7d762fd453571fb7cb1761d7a5.pdf"], "doi": []}, {"id": "2b0d2b5a536e2eaa6a1cdab6f1e8d11f602abdab", "title": "Annotating images with suggestions: user study of a tagging system", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://www.fit.vutbr.cz/research/view_pub.php?file=/pub/9990/HRADIS-ACIVS-2012.pdf&id=9990", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-33140-4_14"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_14"]}, {"id": "c8e1d80dc02d6b51eec0cd6be46da16b304c3e0d", "title": "Water region detection supporting ship identification in port surveillance", "addresses": [{"name": "ViNotion B.V., Eindhoven, The Netherlands", "source_name": "ViNotion B.V., Eindhoven, The Netherlands", "street_adddress": "Daalakkersweg 2-58, 5641 JA Eindhoven, Netherlands", "lat": "51.44683540", "lng": "5.52236030", "type": "edu", "country": "Netherlands"}, {"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["http://vca.ele.tue.nl/publications/data/XBao2012b.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_39"]}, {"id": "f72f6a45ee240cc99296a287ff725aaa7e7ebb35", "title": "Pedestrian Detection: An Evaluation of the State of the Art", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "MPI Informatics, Saabrucken", "source_name": "MPI Informatics, Saabrucken", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5975165"]}, {"id": "3b5787604b619c273bf98232b0bd3bce5d4a34ee", "title": "Learning Discriminative Hidden Structural Parts for Visual Tracking", "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": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop12/pdffiles/w12-o4.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-16634-6_20"]}, {"id": "3bb1c6290b208cda17f1142215c952e40761769d", "title": "Fast and accurate object detection in high resolution 4K and 8K video using GPUs", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10551.pdf"], "doi": []}, {"id": "087337fdad69caaab8ebd8ae68a731c5bf2e8b14", "title": "Fully Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4038.pdf"], "doi": []}, {"id": "bcd5412df9e3418ecedba9b95ab1d6ab506b5665", "title": "High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits", "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/1704.02205.pdf"], "doi": []}, {"id": "4aa286914f17cd8cefa0320e41800a99c142a1cd", "title": "Leveraging Context to Support Automated Food Recognition in Restaurants", "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": "2015", "pdf": ["https://arxiv.org/pdf/1510.02078.pdf"], "doi": []}, {"id": "eea9994c71831219aacd537f5f4ab8a91110a7e2", "title": "Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08707.pdf"], "doi": []}, {"id": "20b038c50cc7148dfb364e2de51cde120c907c9f", "title": "Integrated perception with recurrent multi-task neural networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01735.pdf"], "doi": []}, {"id": "bb1625e1955e9453221244b755539929ca86b4a3", "title": "Data Decomposition and Spatial Mixture Modeling for Part Based Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/bb16/25e1955e9453221244b755539929ca86b4a3.pdf"], "doi": []}, {"id": "d11ba0deeefda19ff30c4b532aa1a85fc07389c7", "title": "An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6891238", "http://doi.org/10.1109/TCYB.2014.2350517", "https://www.ncbi.nlm.nih.gov/pubmed/25204006", "https://www.wikidata.org/entity/Q38423944"]}, {"id": "732cfdb92061c660ce55743b07bdad6657c4aa5b", "title": "LifeCLEF: Multimedia life species identification", "addresses": [{"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/732c/fdb92061c660ce55743b07bdad6657c4aa5b.pdf"], "doi": []}, {"id": "205e895e03969c96f3c482b0bd26308b16a12bd0", "title": "Image Captioning with an Intermediate Attributes Layer", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/205e/895e03969c96f3c482b0bd26308b16a12bd0.pdf"], "doi": []}, {"id": "6826ae2e1598be376f5b64f302172bebc57b64cb", "title": "Foreground Object Segmentation with Objectness Measure", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6826/ae2e1598be376f5b64f302172bebc57b64cb.pdf"], "doi": []}, {"id": "dc5fc803b64b49217babab378efe29f35b697d2f", "title": "Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"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"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-017-1752-9"]}, {"id": "be99cefefa264f6070f56f1fe4c07151e360ff3a", "title": "A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/be99/cefefa264f6070f56f1fe4c07151e360ff3a.pdf"], "doi": []}, {"id": "d3edc100c6577abba414f6c0a16e4c3921e68bff", "title": "Visual Turing test for computer vision systems.", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/050d/a5d159fb0dd96143948e1cffeb3dec814673.pdf"], "doi": []}, {"id": "39a0c15fbd6c6b3f9e6ceb51098e60d5dfaa11fe", "title": "Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3744.pdf"], "doi": []}, {"id": "fdfd57d4721174eba288e501c0c120ad076cdca8", "title": "An Analysis of Action Recognition Datasets for Language and Vision Tasks", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07129.pdf"], "doi": []}, {"id": "ee42895807a375adec78c8221ecfcba01b0cb7ce", "title": "Deep TEN: Texture Encoding Network", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02844.pdf"], "doi": []}, {"id": "0f0a5d8a7a087204026a6b67000887dbf5b6a20f", "title": "Generating objects going well with the surroundings", "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/1807.02925.pdf"], "doi": []}, {"id": "0585a2f480e9fed934e415bee8e03e5e13abf035", "title": "A Novel Linelet-Based Representation for Line Segment Detection", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}, {"name": "John Hopkins University", "source_name": "John Hopkins University, Baltimore, MD", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.jhu.edu/~alanlab/Pubs17/cho2017novel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926451", "http://doi.org/10.1109/TPAMI.2017.2703841", "https://www.ncbi.nlm.nih.gov/pubmed/28504933", "https://www.wikidata.org/entity/Q40469583"]}, {"id": "5eee4151201258ca75202057baf00a9774ccef38", "title": "DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments", "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": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593691"]}, {"id": "27f0757c5896f81ef6e13d5284252dcc1174a0ff", "title": "The Impact of Human\u2013Robot Interfaces on the Learning of Visual Objects", "addresses": [{"name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech", "source_name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech, 91762 Palaiseau, France", "street_adddress": "828 Boulevard des Mar\u00e9chaux, 91120 Palaiseau, France", "lat": "48.71073390", "lng": "2.21805010", "type": "edu", "country": "France"}, {"name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech", "source_name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech, 33405 Talence, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6384810"]}, {"id": "0a8dad1cb9004ccf45611fe4d2652a82cd5326df", "title": "Do More Dropouts in Pool5 Feature Maps for Better Object Detection", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.6911.pdf"], "doi": []}, {"id": "b6946370d6c13d562b96e42d494817c7d1969a8f", "title": "Refining Bounding-Box Regression for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b694/6370d6c13d562b96e42d494817c7d1969a8f.pdf"], "doi": []}, {"id": "6f7de9849be93eff1c5f133defd9d70e5ff437ac", "title": "AttentionNet: Aggregating Weak Directions for Accurate Object Detection", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07704.pdf"], "doi": []}, {"id": "6bb19408458dbae075be7f1612b969b565b4767a", "title": "Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Minh_Approximate_Log-Hilbert-Schmidt_Distances_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780930", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.561", "http://doi.org/10.1109/CVPR.2016.561"]}, {"id": "a73c551da8d69f04e2be7c3f5c7125532e194935", "title": "A Research and Strategy of Objection Detection on Remote Sensing Image", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477209", "http://doi.ieeecomputersociety.org/10.1109/SERA.2018.8477209", "http://doi.org/10.1109/SERA.2018.8477209"]}, {"id": "8d2459ada191d496eeee70f1e817d0ba92075160", "title": "The evaluation of different approaches towards using Kinect sensor as a Laser scanner", "addresses": [{"name": "University of Gothenburg", "source_name": "University of Gothenburg, Gothenburg, Sweden", "street_adddress": "405 30 Gothenburg, Sweden", "lat": "57.69817190", "lng": "11.97187800", "type": "edu", "country": "Sweden"}, {"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8d24/59ada191d496eeee70f1e817d0ba92075160.pdf"], "doi": []}, {"id": "09dace372d15fa3381ade36f5cf892b5ce15a982", "title": "Efficient human computation: the distributed labeling problem", "addresses": [{"name": "Intel Israel, Haifa, Israel", "source_name": "Intel Israel, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.78981240", "lng": "34.96096980", "type": "edu", "country": "Israel"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1600174"]}, {"id": "9cbd49a55724da2249ac1810b9e6d31f5d41a4ac", "title": "Viewpoint-aware object detection and continuous pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://www.weizmann.ac.il/math/meirav/sites/math.meirav/files/uploads/viewpoint_aware_object_detection.pdf", "http://www.wisdom.weizmann.ac.il/~vision/viewpoint-aware/files/GGABS12.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2012.09.006"]}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "addresses": [{"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"], "doi": []}, {"id": "44a3ee0429a6d1b79d431b4d396962175c28ace6", "title": "Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers", "addresses": [{"name": "NEC", "source_name": "NEC Laboratories America, Inc., Cupertino, CA, USA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.nec-labs.com/uploads/images/Department-Images/MediaAnalytics/papers/cvpr16_scaledependentpooling.pdf", "http://www.umiacs.umd.edu/~fyang/papers/cvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780603", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.234", "http://doi.org/10.1109/CVPR.2016.234"]}, {"id": "741637b8b6e4fdd30cb40b3881f29c3377eb4749", "title": "Figure-Ground Segmentation - Object-Based", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": [], "doi": ["http://doi.org/10.1007/978-0-85729-997-0_4"]}, {"id": "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "title": "Are we ready for autonomous driving? The KITTI vision benchmark suite", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.3dgi.ch/mm2013/images/MM2013%20-%20Lenz%20-%20AreWeReadyForAutonomousDriving-TheKittiVisionBenchmarkSuite.pdf", "http://www.cs.toronto.edu/~urtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.cvlibs.net/publications/Geiger2012CVPR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248074", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248074", "http://doi.org/10.1109/CVPR.2012.6248074"]}, {"id": "8047586d2223f3076a1fc028197f54d0997bccfc", "title": "Pelee: A Real-Time Object Detection System on Mobile Devices", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06882.pdf"], "doi": []}, {"id": "51a162f6d21e48c3731aec8f676ba7c18c65bd26", "title": "From trajectories to behaviors : an algorithm to track and describe dancing birds", "addresses": [{"name": "University of Salerno", "source_name": "Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy", "street_adddress": "Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.76871180", "lng": "14.79201790", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/51a1/62f6d21e48c3731aec8f676ba7c18c65bd26.pdf"], "doi": []}, {"id": "b1045a2de35d0adf784353f90972118bc1162f8d", "title": "Quantifying and Transferring Contextual Information in Object Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"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": "2012", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Quantifying%20and%20Transferring%20Contextual%20Information%20in%20Object%20Detection.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengGongXiang_PAMI2011.pdf", "http://www.eecs.qmul.ac.uk/~txiang/publications/ZhengGongXiang_PAMI2011.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/2539/ZHENGQuantifyingand2012POST.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989823", "http://doi.org/10.1109/TPAMI.2011.164", "https://www.ncbi.nlm.nih.gov/pubmed/21844619", "https://www.wikidata.org/entity/Q45327033"]}, {"id": "58b99c3d5a0d3d1b567ae5c1d963abecc4d72d70", "title": "Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/847e/cfa4dcd1a397144d24dfc49fcb05ffeff17c.pdf"], "doi": []}, {"id": "9eadb634ec92c7ae7335ac8eb85ef05bd77dd9c6", "title": "Histograms of locally aggregated oriented gradients", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351004", "http://doi.org/10.1109/ICIP.2015.7351004"]}, {"id": "f8599ad5332cdf2c9919988ba300bb4b438b5834", "title": "Transitive Invariance for Self-Supervised Visual Representation Learning", "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": "2017", "pdf": ["https://arxiv.org/pdf/1708.02901.pdf"], "doi": []}, {"id": "006a4d9a06ee8d36bbc9187b2015c206c80a8aff", "title": "Spectral GeometricMethods for Deformable 3 D Shape Retrieval", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/006a/4d9a06ee8d36bbc9187b2015c206c80a8aff.pdf"], "doi": []}, {"id": "49d83e2fc70dc00130ac9eacab498a96abaa0300", "title": "Advances in Multimedia Information Processing \u2013 PCM 2018", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-00776-8"]}, {"id": "9ff973fe3f2541712b7a5f413ad0c32b03e710a4", "title": "Discovering Object Classes from Activities", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9ff9/73fe3f2541712b7a5f413ad0c32b03e710a4.pdf"], "doi": []}, {"id": "f334b6abbab88dcf562be2de4d7fe16f15997cf5", "title": "Fast Image-Based Geometric Change Detection Given a 3D Model", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461019", "http://doi.org/10.1109/ICRA.2018.8461019"]}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "7fdab95ff454a900c710f464c1129cd173059912", "title": "Pattern Recognition and Image Analysis", "addresses": [{"name": "INESC and University of Porto", "source_name": "INESC and University of Porto, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "source_name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "University of Alicante", "source_name": "University of Alicante, Alicante, Spain", "street_adddress": "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "lat": "38.38524460", "lng": "-0.51431610", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-642-38628-2", "https://www.wikidata.org/entity/Q57715006"]}, {"id": "8ec2485e616c935aa82645783096abcd25547cae", "title": "Accurate small object detection via density map aided saliency estimation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296316", "http://doi.org/10.1109/ICIP.2017.8296316"]}, {"id": "072b298bdb1f4330fbab7c43e5d5e74f2bac6dac", "title": "Audio-visual grouplet: temporal audio-visual interactions for general video concept classification", "addresses": [{"name": "Eastman Kodak", "source_name": "Eastman Kodak Company, Rochester, NY, USA", "street_adddress": "343 State St, Rochester, NY 14650, USA", "lat": "43.16080570", "lng": "-77.61967110", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2072316"]}, {"id": "b28ae44e3a69f8f822230bdc5fdcad0633eaf26f", "title": "KidPen: a stroke-based method for kid-style sketches synthesis from photos", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3149434"]}, {"id": "e87ea5fa265eadb7f68f8f06beabfb056e06579a", "title": "Improving Fully Convolution Network for Semantic Segmentation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08986.pdf"], "doi": []}, {"id": "bfea962697e9b445b89a865b465ae967dd55b4fe", "title": "Efficient object detection via structured learning and local classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bfea/962697e9b445b89a865b465ae967dd55b4fe.pdf"], "doi": []}, {"id": "3d2bf56bf8efb0459c0303526436ac320d237b13", "title": "Objectness estimation using edges", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351584", "http://doi.org/10.1109/ICIP.2015.7351584"]}, {"id": "0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e", "title": "Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00609.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "5cc22f65bf4e5c0aa61f3139da832d3a946e15cf", "title": "Path Aggregation Network for Instance Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"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": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.01534.pdf"], "doi": []}, {"id": "b54200cc65046e1d29329bded3eaa741f45063e4", "title": "Learning Deep Representations and Detection of Docking Stations Using Underwater Imaging", "addresses": [{"name": "RIKEN Center for AIP, Tokyo, Japan", "source_name": "RIKEN Center for AIP, Tokyo, Japan", "street_adddress": "Japan, \u3012103-0027 Tokyo, Ch\u016b\u014d, Nihonbashi, 1 Chome\u22124\u2212\uff11 \u65e5\u672c\u6a4b\u4e00\u4e01\u76ee\u4e09\u4e95\u30d3\u30eb\u30c7\u30a3\u30f3\u30b0 15\u968e", "lat": "35.68253370", "lng": "139.77463210", "type": "edu", "country": "Japan"}, {"name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "source_name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "street_adddress": "Shenyang, Liaoning, China", "lat": "41.80569900", "lng": "123.43147200", "type": "edu", "country": "China"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559067"]}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "0c77f42e8d530b542a534087b24dd8a21e8781cf", "title": "Source ( synthetic ) Target ( real ) feature dimension 1 feature dim ension", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0c77/f42e8d530b542a534087b24dd8a21e8781cf.pdf"], "doi": []}, {"id": "e64fa00da02cc774559db5be88bc2862afbfd432", "title": "Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e64f/a00da02cc774559db5be88bc2862afbfd432.pdf"], "doi": []}, {"id": "0faeec0d1c51623a511adb779dabb1e721a6309b", "title": "Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California at Los Angeles", "source_name": "University of California at Los Angeles, Los Angeles, CA", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "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"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "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"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "National University of Ireland Maynooth", "source_name": "National University of Ireland Maynooth", "street_adddress": "National University of Ireland Maynooth, River Apartments, Maynooth, Maynooth ED, Maynooth Municipal District, County Kildare, Leinster, KILDARE, Ireland", "lat": "53.38469750", "lng": "-6.60039458", "type": "edu", "country": "Ireland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc33/f15900ad4f11f79f5af849449bd244103427.pdf"], "doi": []}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "5ca467072ec40acb1b6bbf59f1119300741c0aba", "title": "Content-Based Photo Quality Assessment", "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": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/cvpr11_WLuo_XWang_XTang.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/luoWTiccv11.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/tangLWtmm13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6544270", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126498", "http://doi.org/10.1109/ICCV.2011.6126498", "https://doi.org/10.1109/TMM.2013.2269899"]}, {"id": "c4fc07072d7ebfbca471d2394b20199d8107e517", "title": "Active Mask Hierarchies for Object Detection", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c4fc/07072d7ebfbca471d2394b20199d8107e517.pdf"], "doi": []}, {"id": "8ff7743abd160763dcd12c8404d65477339a0e81", "title": "Fine-Grained Categorization for 3D Scene Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8ff7/743abd160763dcd12c8404d65477339a0e81.pdf"], "doi": []}, {"id": "ffc2f8c1bf568b913427d1702d75306311df3d5b", "title": "Orientation robust object detection in aerial images using deep convolutional neural network", "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": "2015", "pdf": ["http://www.ucassdl.cn/publication/zhg_ICIP2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351502", "http://doi.org/10.1109/ICIP.2015.7351502"]}, {"id": "a05b7a206c86b3928746cce935f6f85d534a43cd", "title": "Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning", "addresses": [{"name": "Shandong University of Traditional Chinese Medicine", "source_name": "College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China", "street_adddress": "China, Shandong, Jinan, Lixia, \u7ecf\u5341\u8def16369", "lat": "36.65015600", "lng": "117.04613800", "type": "edu", "country": "China"}, {"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "Digital Image Group (DIG), London, Canada", "source_name": "Digital Image Group (DIG), London, Canada", "street_adddress": "London, ON, Canada", "lat": "42.98492330", "lng": "-81.24527680", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/PathogenesisSpine.pdf"], "doi": ["http://doi.org/10.1007/s12021-018-9365-1", "https://www.ncbi.nlm.nih.gov/pubmed/29450848", "https://www.wikidata.org/entity/Q49946900"]}, {"id": "50612493253f5cea7ecf406e9a8d75382b96a83e", "title": "How do humans sketch objects?", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2185540"]}, {"id": "35f345ebe3831e4741dcdc1931da59043acf4b83", "title": "Towards High Performance Video Object Detection for Mobiles 3 2 Revisiting Video Object Detection Baseline", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f3/45ebe3831e4741dcdc1931da59043acf4b83.pdf"], "doi": []}, {"id": "051000dd99635b74862b4b33f6dd84aca34f7471", "title": "An Encoder-Decoder Based Convolution Neural Network ( CNN ) for Future Advanced Driver Assistance System ( ADAS )", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0510/00dd99635b74862b4b33f6dd84aca34f7471.pdf"], "doi": []}, {"id": "5e99aeae07c8f599ab2251a1f62703d0380d1e14", "title": "Dictionary learning for a sparse appearance model in visual tracking", "addresses": [{"name": "\u00c9cole Centrale de Lille, CRIStAL, UMR CNRS 9189", "source_name": "École Centrale de Lille, CRIStAL, UMR CNRS 9189", "street_adddress": "42 Rue Paul Duez, 59000 Lille, France", "lat": "50.63165620", "lng": "3.07520350", "type": "edu", "country": "France"}, {"name": "Institut Mines-Telecom / Telecom Lille", "source_name": "Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France", "street_adddress": "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "lat": "50.60971560", "lng": "3.13728330", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351659", "http://doi.org/10.1109/ICIP.2015.7351659", "https://hal.archives-ouvertes.fr/hal-01211263/document"]}, {"id": "14a3194bb454f1f2e3fc1452045ac18c69959368", "title": "Fast Object Detection Using Multistage Particle Window Deformable Part Model", "addresses": [{"name": "National Chung Cheng University", "source_name": "National Chung Cheng University", "street_adddress": "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "lat": "23.56306355", "lng": "120.47510531", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://www.cs.ccu.edu.tw/~wtchu/papers/2014ISM-chu.pdf", "https://pdfs.semanticscholar.org/14a3/194bb454f1f2e3fc1452045ac18c69959368.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7033002", "http://doi.ieeecomputersociety.org/10.1109/ISM.2014.23", "http://doi.org/10.1109/ISM.2014.23"]}, {"id": "9f879c8eed15d0c54ee86d0fb3de1e83a87d282d", "title": "A new two-stage object detection network without RoI-Pooling", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407398"]}, {"id": "e6cd10c6de16ae2fba499762f2d6242990e1d35c", "title": "Improved Person Detection on Omnidirectional Images with Non-maxima Supression.", "addresses": [{"name": "Chemnitz University of Technology", "source_name": "Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany", "street_adddress": "Reichenhainer Str. 70, 09126 Chemnitz, Germany", "lat": "50.81507300", "lng": "12.92558600", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08503.pdf"], "doi": []}, {"id": "0c2cb193274217855000c98a02488885571b55bc", "title": "TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01466.pdf"], "doi": []}, {"id": "55f80ddcb49dbb45c4fc9d42da006580bd6690b5", "title": "GRANet: Global Refinement Atrous Convolutional Neural Network for Semantic Scene Segmentation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451636"]}, {"id": "95f4b88d4b0a725d786b34558b60af47f5442230", "title": "Reconfigurable Processor for Deep Learning in Autonomous Vehicles", "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": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/381e/7525bc8b9d47ae0343e471f5f1d5e6963bbe.pdf"], "doi": []}, {"id": "56c24b33d9efd05effe8afcbfa68fe27b5738cc2", "title": "Regularized Geometric Hulls for Bio-medical Image Segmentation", "addresses": [{"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/56c2/4b33d9efd05effe8afcbfa68fe27b5738cc2.pdf"], "doi": []}, {"id": "7653af14cf2b220da07252df585c443985ea9f8b", "title": "Human Detection Based on the Generation of a Background Image by Using a Far-Infrared Light Camera", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7653/af14cf2b220da07252df585c443985ea9f8b.pdf"], "doi": []}, {"id": "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "title": "A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "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": ["https://arxiv.org/pdf/1808.02595.pdf"], "doi": []}, {"id": "15ec23ae3007c8474149777e6f3d9974dd392fb5", "title": "Novel line verification for multiple instance focused retrieval in document collections", "addresses": [{"name": "Universidad Aut\u00f2noma de Barcelona, Spain", "source_name": "Computer Vision Center, Univ. Aut\u00f2noma de Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of 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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333808"]}, {"id": "56e28ea9eb8e92e199f35af6f6c348df2b19429c", "title": "An experimental comparison of online object-tracking algorithms", "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": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/spie11a.pdf"], "doi": ["https://doi.org/10.1117/12.895965"]}, {"id": "02f90eb252ab3bdab420690570b16effdee53b3f", "title": "Unsupervised Object Discovery and Segmentation in Videos", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/schulter_bmvc_13.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/abstract0053.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/paper0053.pdf"], "doi": ["http://doi.org/10.5244/C.27.53"]}, {"id": "2a7e02ebdb7622815dbce8cf227189e2c92d026c", "title": "Zero-Shot Object Detection by Hybrid Region Embedding", "addresses": [{"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"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06157.pdf"], "doi": []}, {"id": "d1580e818932ba23b38784b48d3e472ec91cd746", "title": "Decomposed human localization in personal photo albums", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Hunan University of Humanities", "source_name": "Hunan University of Humanities, Science and Technology, China", "street_adddress": "China, Hunan Sheng, Loudi Shi, Louxing Qu, \u80b2\u624d\u8def \u90ae\u653f\u7f16\u7801: 417000", "lat": "27.71232800", "lng": "112.00637300", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706345", "http://doi.org/10.1109/VCIP.2013.6706345"]}, {"id": "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "title": "Multi-omnidirectional cameras for ambient intelligence", "addresses": [{"name": "Bo\u011fazi\u00e7i \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, 34342 Bebek, \u0130stanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204823", "http://doi.org/10.1109/SIU.2012.6204823"]}, {"id": "fe1f382184505cdd9c8857119b95974b8396c3d9", "title": "Joint learning dictionary and discriminative features for high dimensional data", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Michigan-Dearborn", "source_name": "University of Michigan-Dearborn, USA", "street_adddress": "4901 Evergreen Rd, Dearborn, MI 48128, USA", "lat": "42.31840880", "lng": "-83.23320200", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899661"]}, {"id": "47b09d8c3690ab2e8c9c3e9157413f16024f3bb3", "title": "Learning Anchor Planes for Classification", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/60ec/1ab5b6dbb937f759fb844dce47b225e551d1.pdf"], "doi": []}, {"id": "3ab3f9d97bae4280cc915b7d4dc05f8cbbd6e6c8", "title": "Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}, {"name": "Cornell Tech, USA", "source_name": "Cornell Tech, USA", "street_adddress": "2 W Loop Rd, New York, NY 10044, USA", "lat": "40.75577270", "lng": "-73.95621120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298658"]}, {"id": "1661df61b0ef6147fbd0b55c9989fa8e8715806d", "title": "Deep visual words: Improved fisher vector for image classification", "addresses": [{"name": "PSI-ESAT / ETHZ", "source_name": "PSI-ESAT / ETHZ", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986832"]}, {"id": "16741cad4175adf065d6adbfdfa27acdcda2b26b", "title": "Deep Learning Approach for Building Detection in Satellite Multispectral Imagery", "addresses": [{"name": "Innopolis University", "source_name": "Institute of Robotics, Innopolis University, Russia", "street_adddress": "Universitetskaya St, 1, Innopolis, Respublika Tatarstan, Russia, 420500", "lat": "55.75344900", "lng": "48.74341100", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04247.pdf"], "doi": []}, {"id": "13c0c418df650ad94ac368c81e2133ec9e166381", "title": "Mid-level deep pattern mining", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6382.pdf"], "doi": []}, {"id": "5f0b1f37fc9c65c56106438b9aa4c6e0909d6fc0", "title": "3D object class detection in the wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.05038.pdf"], "doi": []}, {"id": "db9644b48ff890fd76c377192faa1e60b72c0120", "title": "Response prompting for intelligent robot instruction of students with intellectual disabilities", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333651"]}, {"id": "8a9fb7a5e3035e013129d55887b05f63b1fc5ad0", "title": "Person-following UAVs", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.svcl.ucsd.edu/publications/conference/2016/2016IEEEWACVPersonFollowingUAVs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477660", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477660", "http://doi.org/10.1109/WACV.2016.7477660"]}, {"id": "0c3d7a871915838ed5e126978c0d9f69f969b6a8", "title": "Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation", "addresses": [{"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"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": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247739"]}, {"id": "777487da0f738161e4283042084b85fca4a82487", "title": "Detector ensemble based on false positive mining for pedestrian detection", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486602"]}, {"id": "7f415aee0137acab659c664eb1dff15f7b726bdd", "title": "Scene Text Recognition Using Structure-Guided Character Detection and Linguistic Knowledge", "addresses": [{"name": "CASIA, Beijing, China", "source_name": "State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/3745/1/TCSVT-scene%20text%20recognition%20using%20structure-guided%20character%20detection%20and%20linguistic%20knowledge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727574", "http://doi.org/10.1109/TCSVT.2014.2302522"]}, {"id": "58c17688fc08eb69ff3b20803a227693289d63c5", "title": "Online multiple objects tracking with detection reliability prior constraint", "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 Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5530-z"]}, {"id": "6143a034163e7c8b533afcbba6bd1c48631ca77f", "title": "Appearance-based indoor localization: A comparison of patch descriptor performance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03514.pdf"], "doi": []}, {"id": "71b973c87965e4086e75fd2379dd1bd8e3f8231e", "title": "Progressive Attention Networks for Visual Attribute Prediction", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}, {"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/1606.02393.pdf"], "doi": []}, {"id": "ada42b99f882ba69d70fff68c9ccbaff642d5189", "title": "Semantic Image Segmentation and Web-Supervised Visual Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/ba11/4dfdd12b0f4323a8f28cd2bd770dfa74673e.pdf"], "doi": []}, {"id": "52684303004d2a9849e53a111cb847d05156d73c", "title": "Robust Online Visual Tracking with a Single Convolutional Neural Network", "addresses": [{"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Jiangxi Normal University", "source_name": "Jiangxi Normal University, Nanchang, China", "street_adddress": "Nanchang, China", "lat": "28.67850000", "lng": "116.03121200", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/452.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop3/pdffiles/w3-p12.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_13"]}, {"id": "b62ffb6a17d75363c8873a236f1d8c49d07c8a0e", "title": "An MRF-Poselets Model for Detecting Highly Articulated Humans", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410585", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.228", "http://doi.org/10.1109/ICCV.2015.228"]}, {"id": "32a8c1bf38f3057fdb808d27d5c1a82a168fc100", "title": "PD2T: Person-Specific Detection, Deformable Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/2017_pami_offline_deformable_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094942", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2769654", "http://doi.org/10.1109/TPAMI.2017.2769654", "https://www.ncbi.nlm.nih.gov/pubmed/29990150"]}, {"id": "1ce04783dc3af013fbfb1ee65af97b1dbcf820fa", "title": "Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ce0/4783dc3af013fbfb1ee65af97b1dbcf820fa.pdf"], "doi": []}, {"id": "94e378a1ee5fc205272c3fcfb46ca04a1a9916c4", "title": "Extremely Overlapping Vehicle Counting", "addresses": [{"name": "University of Alcal\u00e1", "source_name": "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://agamenon.tsc.uah.es/Personales/rlopez/docs/ibpria2015-guerrero.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-19390-8_48"]}, {"id": "86824ba374daff17ff2235484055b3bb9c464555", "title": "S-CNN: Subcategory-Aware Convolutional Networks for Object Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051100", "http://doi.org/10.1109/TPAMI.2017.2756936", "https://www.ncbi.nlm.nih.gov/pubmed/28961103", "https://www.wikidata.org/entity/Q47667340"]}, {"id": "b86b0a3494c2e2d4a3f4c9a18f1e4fec542bb57d", "title": "Perceptual Material Attributes Arise in Local Material Recognition", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b86b/0a3494c2e2d4a3f4c9a18f1e4fec542bb57d.pdf"], "doi": []}, {"id": "8fe0a35dc47698b45f3812bb502b0921b349ae56", "title": "Online multi-person tracking via robust collaborative model", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025086", "http://doi.org/10.1109/ICIP.2014.7025086"]}, {"id": "70d71c2f8c865438c0158bed9f7d64e57e245535", "title": "Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/intr_obj_vrt_nips13.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2013_5198.pdf", "http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/intr_obj_vrt_nips13.pdf", "http://wwwpub.zih.tu-dresden.de/~cvweb/publications/papers/2013/nips13_vinett_torr_rother.pdf"], "doi": ["http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation"]}, {"id": "29921072d8628544114f68bdf84deaf20a8c8f91", "title": "Multi-task Curriculum Transfer Deep Learning of Clothing Attributes", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.03670.pdf"], "doi": []}, {"id": "924f931aaed2925c9d9becd0ec76c512fba8274d", "title": "Multi-target detection in CCTV footage for tracking applications using deep learning techniques", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}, {"name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "source_name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532493"]}, {"id": "cfa48bc1015b88809e362b4da19fe4459acb1d89", "title": "Learning to Filter Object Detections", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cfa4/8bc1015b88809e362b4da19fe4459acb1d89.pdf"], "doi": []}, {"id": "08f9e2129e6851afac28d63f65c2aa6fc7c49023", "title": "Visual Recognition with Humans in the Loop", "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": "2010", "pdf": ["http://people.cs.pitt.edu/~kovashka/cs3710_sp15/active_learning_yan.pdf", "http://rogerioferis.com/VisualRecognitionAndSearch2014/material/presentations/AmeyAndKaiFinegrainedCategorization.pdf", "http://vision.cornell.edu/se3/wp-content/uploads/2014/09/Visipedia20q.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/shah_expt.pdf", "http://web.cs.ucdavis.edu/~yjlee/teaching/ecs289h-fall2014/oct30_present.pdf", "http://www.cs.cornell.edu/Courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "http://www.cs.cornell.edu/courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "https://www.cc.gatech.edu/~hays/compvision2016/lectures/27.pdf", "https://www.cc.gatech.edu/~parikh/ACVHL/Belongie_ACVHL.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15561-1_32"]}, {"id": "66f40e4ec173a2337fa42ff9d85c6e7a18ef16e1", "title": "Online action detection and forecast via Multitask deep Recurrent Neural Networks", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952447"]}, {"id": "18ebb2bbae3dfe4ab3f592494638f33e5072c8f7", "title": "Performance analysis of CNN frameworks for GPUs", "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7975270"]}, {"id": "aacaeffbe652d0eac25267c79ce96f2f4f557e39", "title": "MEVBench: A mobile computer vision benchmarking suite", "addresses": [{"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": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6114206"]}, {"id": "4a06c130c57b373718d15aa25ebb958d78bf2840", "title": "Deformable parts model for people detection in heavy machines applications", "addresses": [{"name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "source_name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "street_adddress": "57 Avenue de Landshut, 60200 Compi\u00e8gne, France", "lat": "49.40075300", "lng": "2.79528080", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7064337", "http://doi.org/10.1109/ICARCV.2014.7064337"]}, {"id": "3640bf810f4cc3160c278763663de03bc5ba6bb9", "title": "Deep reinforcement learning boosted by external knowledge", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3167165"]}, {"id": "37314dbf2d7680b0545223abefbb58cf476273bd", "title": "The three R's of computer vision: Recognition, reconstruction and reorganization", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://people.eecs.berkeley.edu/~shubhtuls/papers/prl16rrr.pdf", "http://www.cse.buffalo.edu/events/2013/malik.pdf", "https://people.eecs.berkeley.edu/~sgupta/pdfs/malik2016three.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2016.01.019"]}, {"id": "a81a14ff19586605ba3e6c1053d4dfdec064ac74", "title": "Object Detection and Tracking for Creation of Interactive Videos", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a81a/14ff19586605ba3e6c1053d4dfdec064ac74.pdf"], "doi": []}, {"id": "63d86c3c2b3cb2f6d0672dd05c95187114e77027", "title": "Automatic target detection in GPR images using Histogram of Oriented Gradients (HOG)", "addresses": [{"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7015795"]}, {"id": "d86cc655aee9596de5e0db001275c6fee495eb08", "title": "Volume segmentation using convolutional neural networks with limited training data", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296349"]}, {"id": "f576d8a18eec63c44204c7ae1c25a48d27e7af35", "title": "Adaptive window search using semantic texton forests for real-time object detection", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738678"]}, {"id": "1ddea4c0a2fd23f4878c20a7ec446090290011fc", "title": "Towards real-time DPM object detector for driver assistance", "addresses": [{"name": "University of Louisiana at Lafayette", "source_name": "University of Louisiana at Lafayette, Lafayette, LA", "street_adddress": "104 East University Avenue, Lafayette, LA 70504, USA", "lat": "30.21144040", "lng": "-92.02041210", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533079"]}, {"id": "b51fb0118975d2d57d33bb61ba3ed40260fab9d1", "title": "Learning equivariant structured output SVM regressors", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126339"]}, {"id": "1f9d5b6c48e8674190c6db6b4abc87fec20038c7", "title": "UnrealCV: Connecting Computer Vision to Unreal Engine", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01326.pdf"], "doi": []}, {"id": "5b0b675416d0603008d5650bbb259f8ab230e8cb", "title": "Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": ["https://arxiv.org/pdf/1009.4823.pdf"], "doi": []}, {"id": "a0b9a6123fa8113ad3ddc44614941c73512b9dca", "title": "Multi-class object segmentation based on jointly integrating segment-level and image-level object priors", "addresses": [{"name": "Ningbo University of Technology", "source_name": "Ningbo University of Technology, Ningbo, China", "street_adddress": "201 Fenghua Rd, Jiangbei Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.90986300", "lng": "121.61432300", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832104"]}, {"id": "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "title": "Zero-Shot Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07113.pdf"], "doi": []}, {"id": "ce290c46257f7676147b5cfe4c104373e4fca13a", "title": "Deep Feature Compression for Collaborative Object Detection", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451100"]}, {"id": "d3fefc8ea31d9676ca6115e81c55c0cd335131c2", "title": "Information Content of Very-High-Resolution SAR Images: Semantics, Geospatial Context, and Ontologies", "addresses": [{"name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, We\u00dfling, Germany", "source_name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, Weßling, Germany", "street_adddress": "Germany", "lat": "51.16569100", "lng": "10.45152600", "type": "gov", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6960829"]}, {"id": "cf3e9d7cc63959aa7b71ef3e72521fe8814ba3d5", "title": "HumanRcoarseR poseRdiscretization ( labels ) 3 DRModelRfine poseRdiscretization ( angles ) AnnotationRimage 45 \u00b0", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf3e/9d7cc63959aa7b71ef3e72521fe8814ba3d5.pdf"], "doi": []}, {"id": "5b4b84ce3518c8a14f57f5f95a1d07fb60e58223", "title": "Diagnosing Error in Object Detectors", "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": "2012", "pdf": ["https://pdfs.semanticscholar.org/9f92/05a60ddf1135929e0747db34363b3a8c6bc8.pdf"], "doi": []}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "1b90548616d09bfdb788dbfb1e1a1aedb62396d8", "title": "A novel autonomous navigation approach for UAV power line inspection", "addresses": [{"name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "source_name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324488"]}, {"id": "db3fdaaf30c8d3390b72b864134d1a8f2c18fac8", "title": "Understanding Infographics through Textual and Visual Tag Prediction", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09215.pdf"], "doi": []}, {"id": "d764fd52625933692843941825845fcd5ee27f0d", "title": "Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d764/fd52625933692843941825845fcd5ee27f0d.pdf"], "doi": []}, {"id": "1ebb95859f0398cac9a957c61f5047f268ec89a3", "title": "StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://cms.brookes.ac.uk/staff/PhilipTorr/Papers/2010/BMVC10/jw_stypboost.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/abstract60.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/paper60.pdf", "http://www.robots.ox.ac.uk/~phst/Papers/2010/BMVC10/jw_stypboost.pdf"], "doi": ["https://doi.org/10.5244/C.24.60"]}, {"id": "572785b5d6f6fa4b174d79725f82c056b0fb4565", "title": "Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05519.pdf"], "doi": []}, {"id": "2d34052aa801b2061670be0a39f59ae51b5e5866", "title": "High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation", "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": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7098386"]}, {"id": "221252be5d5be3b3e53b3bbbe7a9930d9d8cad69", "title": "Do We Need More Training Data or Better Models for Object Detection?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2212/52be5d5be3b3e53b3bbbe7a9930d9d8cad69.pdf"], "doi": []}, {"id": "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "title": "Semantic Image Segmentation via Deep Parsing Network", "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": "2015", "pdf": ["https://arxiv.org/pdf/1509.02634.pdf"], "doi": []}, {"id": "3785f701a53ab0c8baa9b76c75216944361943b8", "title": "Reproducible evaluation of Pan-Tilt-Zoom tracking", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351162"]}, {"id": "b8660b0a60c2ecd0f34c42d4d2a043cfc4f01ce1", "title": "DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects", "addresses": [{"name": "IDSIA & USI", "source_name": "IDSIA & USI", "street_adddress": "Via Giuseppe Buffi 13, 6900 Lugano, Switzerland", "lat": "46.01073700", "lng": "8.95810900", "type": "edu", "country": "Switzerland"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University of Venice & ZHAW", "source_name": "University of Venice & ZHAW", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab & USI", "source_name": "ZHAW Datalab & USI", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545307"]}, {"id": "72be36fce39e2c04ac1f3e3995b39559e226fe34", "title": "Visual object tracking based on particle filter re-detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Institute of Automation, Heilongjiang Academy of Sciences, Harbin, China", "source_name": "The Institute of Automation Heilongjiang Academy of Sciences, Harbin, China", "street_adddress": "Hei Long Jiang Sheng Ke Xue Yuan Zi Dong Hua Yan Jiu Suo, HuiZhan, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150090", "lat": "45.74575440", "lng": "126.69166510", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304242"]}, {"id": "c1ba0d38d855af0f4a2c2cf0f4fa48e4477fc4ec", "title": "Efficient Highly Over-Complete Sparse Coding Using a Mixture Model", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://www.dbs.ifi.lmu.de/~yu_k/ECCV10-HSC.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/ECCV10-HSC.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15555-0_9"]}, {"id": "52fe6d952ac0b6888b65293acfaec6825153c955", "title": "Visual tracking based on weighted subspace reconstruction error", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025092"]}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"], "doi": []}, {"id": "4be7eb91407043d66e1cbbb6891e9b58ddce8c09", "title": "Robust Visual Tracking Revisited: From Correlation Filter to Template Matching", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307468"]}, {"id": "21462ab847ee919abbd862c1f86b7c13ad34d519", "title": "Traffic scene segmentation based on boosting over multimodal low, intermediate and high order multi-range channel features", "addresses": [{"name": "Technical University of Cluj-Napoca", "source_name": "Technical University of Cluj-Napoca", "street_adddress": "Strada Memorandumului 28, Cluj-Napoca 400114, Romania", "lat": "46.76929900", "lng": "23.58561300", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": ["http://cv.utcluj.ro/tl_files/cv/publications/IV2017_0468.pdf", "https://cv.utcluj.ro/tl_files/cv/publications/Traffic%20Scene%20Segmentation%20based%20on%20Boosting%20over%20Multimodal%20Low,%20Intermediate%20and%20High%20Order%20Multi-range%20Channel%20Features%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995701", "http://doi.org/10.1109/IVS.2017.7995701"]}, {"id": "f12354cbe696ee2f278abaccf7ee4305b3f4f1a3", "title": "Dense Receptive Field for Object Detection", "addresses": [{"name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "source_name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546207"]}, {"id": "038e2f45575c234358325dd0dd16421136882191", "title": "Planar Object Detection using Local Feature Descriptors", "addresses": [{"name": "Slovak University of Technology in Bratislava", "source_name": "Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovi\u010dova 3, 812 19 Bratislava, Slovak Republic", "street_adddress": "Ilkovi\u010dova 2961/3, 841 04 Karlova Ves, Slovakia", "lat": "48.15185320", "lng": "17.07334460", "type": "edu", "country": "Slovakia"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/038e/2f45575c234358325dd0dd16421136882191.pdf"], "doi": []}, {"id": "5570388d982bebe4eb80f1eb7348e353370a5ebf", "title": "DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01405.pdf"], "doi": []}, {"id": "285b27126e3e6d51942e8a152581a59110a9feaa", "title": "Visual Tracking via Probabilistic Hypergraph Ranking", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368902"]}, {"id": "8e90aa167c7ba97228ecee23886f74c21f8fabd5", "title": "Symbolic Segmentation Using Algorithm Selection", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d  \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07934.pdf"], "doi": []}, {"id": "35535b2b03a9fcbcd8c09f753e1a69c977add020", "title": "Estimation of intersection traffic density on decentralized architectures with deep networks", "addresses": [{"name": "Siemens Corporate Research and Technologies", "source_name": "Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India", "street_adddress": "84, Hosur Road, Electronics City Phase 1, Keonics Electronics City, Bengaluru, Karnataka 560100, India", "lat": "12.84508670", "lng": "77.66094070", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090799"]}, {"id": "c0c3e0161a1007a5edf701a6b4a201ca06922559", "title": "Enhancing Multi-Camera People Detection by Online Automatic Parametrization Using Detection Transfer and Self-Correlation Maximization \u2020", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0c3/e0161a1007a5edf701a6b4a201ca06922559.pdf"], "doi": []}, {"id": "45d45687ebca6281d44e477cd012a1ef48ebf286", "title": "Deep fruit detection in orchards", "addresses": [{"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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989417"]}, {"id": "40c22f4717a6364e8e3e296bc5533d00cbe5b188", "title": "A seeding-searching-ensemble method for gland segmentation and detection", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7359707"]}, {"id": "6b8c4082cff10a893efa172da0ca1d31e166be0f", "title": "Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03128.pdf"], "doi": []}, {"id": "ec25f39fa6b4ef4529981a1ae051086e93642d27", "title": "Deformable Part Models are Convolutional Neural Networks Tech report", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ec25/f39fa6b4ef4529981a1ae051086e93642d27.pdf"], "doi": []}, {"id": "da082139f303fd36c160d91acc0949c005dd846c", "title": "A Deep Learning Framework for Semi-Supervised Cross-Modal Retrieval with Label Prediction", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01391.pdf"], "doi": []}, {"id": "7cbbcb0698ce5cd22951147ca8d606a91e9c0f05", "title": "Active object detection on graphs via locally informative trees", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738876"]}, {"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"], "doi": []}, {"id": "d802b6f76288e62f9236d13c59dedb94453e6915", "title": "Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947145"]}, {"id": "6342c679becb63aed72a9c7cc2cf3b217adcacee", "title": "Deep-learning-based object-level contour detection with CCG and CRF optimization", "addresses": [{"name": "University of Alabama at Birmingham", "source_name": "University of Alabama at Birmingham, 35294, USA", "street_adddress": "1720 2nd Ave S, Birmingham, AL 35294, USA", "lat": "33.50212270", "lng": "-86.80644470", "type": "edu", "country": "United States"}, {"name": "Institute of Computer Science and Technology, Beijing, China", "source_name": "Institute of Computer Science and Technology, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun N St, \u9038\u592b\u82d1", "lat": "39.99065830", "lng": "116.31493890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019358", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019358", "http://doi.org/10.1109/ICME.2017.8019358"]}, {"id": "1ed99a11c20afc2e6e2f3585f575bf936898dcb3", "title": "Reasoning and algorithm selection augmented symbolic segmentation", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d  \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.03667.pdf"], "doi": []}, {"id": "8c9eaebd1db02f6f94c6e65bc206402f74523e82", "title": "Unsupervised domain adaptation of deep object detectors", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8c9e/aebd1db02f6f94c6e65bc206402f74523e82.pdf"], "doi": []}, {"id": "f2f086b4ea5c37712b8fbcbcb4af6d24d4f2b78b", "title": "Comparative Analysis of Face Detection Algorithms: Novice to Novel", "addresses": [{"name": "Aljouf University", "source_name": "Aljouf University, Skaka Aljouf, 72388, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0645\u0637\u0627\u0631\u060c Sakakah Saudi Arabia", "lat": "29.79074900", "lng": "40.04499400", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8571474"]}, {"id": "9d1512cec2cddf707f4a82c6781c4cd7de6c1ed6", "title": "Predicting the Location of \"interactees\" in Novel Human-Object Interactions", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c1ae/89b26dc27b5725d08aba484afff43fa39d77.pdf"], "doi": []}, {"id": "55968c9906e13eff2a7fb03d7c416a6d0f9f53e0", "title": "HFS: Hierarchical Feature Selection for Efficient Image Segmentation", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"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": "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": ["http://cg.cs.tsinghua.edu.cn/papers/ECCV-2016-Hfs.pdf", "http://mftp.mmcheng.net/Papers/HFS.pdf", "http://www.eccv2016.org/files/posters/P-2B-16.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2016/0682.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46487-9_53"]}, {"id": "4ac0a37ba0630310e7848e144edcba9ea3d05334", "title": "Max-Margin Dictionary Learning for Multiclass Image Categorization", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4ac0/a37ba0630310e7848e144edcba9ea3d05334.pdf"], "doi": []}, {"id": "46ae0bc7291d209b9effe0bdddf43c82d19832b1", "title": "LinedCut: Image segmentation using single line interaction", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7003816"]}, {"id": "77a0e3e366e061b0ceb4a7a901ee18e420185447", "title": "Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries", "addresses": [{"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/1704.03944.pdf"], "doi": []}, {"id": "9b0ae635f1d3c2771920eb59a80aec35a8bce58a", "title": "An Experimental Protocol for Benchmarking Robotic Indoor Navigation", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9b0a/e635f1d3c2771920eb59a80aec35a8bce58a.pdf"], "doi": []}, {"id": "5c9464407e52a72bc5fe05d214a8140fcc7aeaed", "title": "Boosted local classifiers for visual tracking", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552903"]}, {"id": "5cb5207759597a5d293a331af73e1ace574a4ba4", "title": "Plug-and-play correlation filters for visual tracking", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240899"]}, {"id": "29b3ece4a5d56b0ac072ac7ff5f5ab03fdc27ee9", "title": "Object proposals using CNN-based edge filtering", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899704"]}, {"id": "013e0fe2d203eaa33a4b42d057688815116cc6bb", "title": "Recognizing Car Fluents from Video", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08067.pdf"], "doi": []}, {"id": "931282732f0be57f7fb895238e94bdda00a52cad", "title": "Gated Bi-directional CNN for Object Detection", "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": "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/9312/82732f0be57f7fb895238e94bdda00a52cad.pdf"], "doi": []}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "Xi\u2019an Jiaotong-Liverpool University", "source_name": "Xi\u2019an Jiaotong-Liverpool University, Jiangsu, China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "595a8356461904b2dfe7f46acc87002fcee9d4a1", "title": "Supervised Adversarial Networks for Image Saliency Detection", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07242.pdf"], "doi": []}, {"id": "cae6f7249783b102e8b05216709a780f47c57f7c", "title": "Subjective evaluation of image understanding results", "addresses": [{"name": "ENSICAEN - University of CAEN - CNRS", "source_name": "GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Mar\u00e9chal Juin, 14000 CAEN, France", "street_adddress": "Campus 2, B\u00e2timent F, 6 Boulevard Mar\u00e9chal Juin, 14000 Caen, France", "lat": "49.21489100", "lng": "-0.36895200", "type": "edu", "country": "France"}, {"name": "ENSI de Bourges - University of Orl\u00e9ans", "source_name": "PRISME Institute, ENSI de Bourges - University of Orl\u00e9ans, 88 Boulevard Lahitolle, 18020 BOURGES, France", "street_adddress": "88 Boulevard Lahitolle, 18000 Bourges, France", "lat": "47.08188770", "lng": "2.41554390", "type": "edu", "country": "France"}], "year": "2010", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2010/Contents/papers/1569291909.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7096451", "http://ieeexplore.ieee.org/document/7096451/"]}, {"id": "cd7aadcf23e056ae5900c72517a34b6cc8d66e0c", "title": "Combining deep learning and unsupervised clustering to improve scene recognition performance", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "Yahoo! Inc.", "source_name": "Yahoo! Inc., 701 1st Ave, Sunnyvale, CA 94089, USA", "street_adddress": "701 1st Ave, Sunnyvale, CA 94089, USA", "lat": "37.41715730", "lng": "-122.02500480", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340859"]}, {"id": "8a336adeb5115f2e70d65dfd9e7feed6e894fb3a", "title": "The sketchy database: learning to retrieve badly drawn bunnies", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925954"]}, {"id": "39afeceb57a7fde266ddd842aa23d2eea7ad5665", "title": "Agile Amulet: Real-Time Salient Object Detection with Contextual Attention", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06960.pdf"], "doi": []}, {"id": "5e9f81f93413a82bf3bd9e77b44b1ca6006f5830", "title": "Pedestrian Detection in RGB-D Images from an Elevated Viewpoint", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e9f/81f93413a82bf3bd9e77b44b1ca6006f5830.pdf"], "doi": []}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "182432088c9fac5b0ac977df625cb40765f7c84c", "title": "Visual Utility : A Framework for Focusing Computer Vision Algorithms", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/1824/32088c9fac5b0ac977df625cb40765f7c84c.pdf"], "doi": []}, {"id": "9241b103b76a3bdae157038b71783d7d372c71e9", "title": "Visual Classification of Furniture Styles", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065951"]}, {"id": "a8308ff2e31f0213d7cc360e613872a0efe3ed3d", "title": "Background Modeling and Foreground Detection for Maritime Video Surveillance", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.dis.uniroma1.it/~bloisi/papers/background-modeling-and-foreground-detection-for-maritime-video-surveillance.pdf"], "doi": ["https://doi.org/10.1201/b17223-18"]}, {"id": "24410627f9db865c4a95bf0ec74547f582ee198b", "title": "Object tracking via appearance modeling and sparse representation", "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": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.cse.sc.edu/~songwang/document/ivc11.pdf", "https://cse.sc.edu/~songwang/document/ivc11.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2011.08.006"]}, {"id": "5dd7d5d91e7e26ec65891f504b9a725f6c26ff27", "title": "Detection of Cars in High-Resolution Aerial Images of Complex Urban Environments", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7982952", "http://doi.org/10.1109/TGRS.2017.2716984"]}, {"id": "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "title": "Real-time people counting from depth imagery of crowded environments", "addresses": [{"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BSBD14/PID3277847.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/03/people-counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918691", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918691", "http://doi.org/10.1109/AVSS.2014.6918691"]}, {"id": "fc23a386c2189f221b25dbd0bb34fcd26ccf60fa", "title": "A Discriminative Latent Model of Object Classes and Attributes", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fc23/a386c2189f221b25dbd0bb34fcd26ccf60fa.pdf"], "doi": []}, {"id": "736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586", "title": "Figure-Ground Organization Based on 3 D Symmetry", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/736e/0b2e5a7e87a7d6e1412e7a4d4f180e89d586.pdf"], "doi": []}, {"id": "d5c8280e49cf7f58356e37e1722ab429415204ff", "title": "Object detection at multiple scales improves accuracy", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2008", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.214.114&rep=rep1&type=pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4761508", "http://doi.org/10.1109/ICPR.2008.4761508"]}, {"id": "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "title": "Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10800.pdf"], "doi": []}, {"id": "531e412155cde56382906aeee2a1b28ec61259c5", "title": "Learning to localize detected objects", "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": "2012", "pdf": ["http://dhoiem.cs.illinois.edu/publications/cvpr2012_objectsegmentation_qieyun.pdf", "http://www.csd.uwo.ca/~olga/Courses/Fall2014/CS9840/PossibleStudentPapers/cvpr2012_objectsegmentation_qieyun.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248070", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248070", "http://doi.org/10.1109/CVPR.2012.6248070"]}, {"id": "2fc8905a80b284d2cc204dc38ce10d904a875be9", "title": "VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2fc8/905a80b284d2cc204dc38ce10d904a875be9.pdf"], "doi": []}, {"id": "bed6b2bbe601a2a81c2191adf1cab487d4bf070e", "title": "Vocabulary Scene Parsing", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"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": "", "pdf": ["https://pdfs.semanticscholar.org/bed6/b2bbe601a2a81c2191adf1cab487d4bf070e.pdf"], "doi": []}, {"id": "6d90a0ac9d015b911469663d505b2e3d8f75520f", "title": "A system for real-time detection and tracking of vehicles from a single car-mounted camera", "addresses": [{"name": "Advanced Technology division, Toyota Motor Europe, Japan", "source_name": "Advanced Technology division, Toyota Motor Europe, Japan", "street_adddress": "Japan", "lat": "36.20482400", "lng": "138.25292400", "type": "company", "country": "Japan"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://cmp.felk.cvut.cz/data/motorway/paper/itsc2012_presentation.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/itsc2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338748", "http://doi.org/10.1109/ITSC.2012.6338748"]}, {"id": "8ba686c99684c6be46988ed3ab1003312c2fbf80", "title": "A non-temporal texture driven approach to real-time fire detection", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://breckon.eu/toby/publications/papers/chenebert11fire.pdf", "https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/7588/Real-time_fire_detection-2011.pdf;jsessionid=BFF4BCF2CC5EF353D82416490C8E1B85?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6115796", "http://doi.org/10.1109/ICIP.2011.6115796", "https://www.wikidata.org/entity/Q54267947"]}, {"id": "69877c56737f84951db86ff27235b597ef95be2f", "title": "Sequential Labeling with Structural SVM Under an Average Precision Loss", "addresses": [{"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"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/100177/1/Conference%20paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-49055-7_31"]}, {"id": "2d1d105538961d9b301bda6248d6df55829751be", "title": "Context-dependent kernel design for object matching and recognition", "addresses": [{"name": "Certis Lab, ENPC ParisTech, France", "source_name": "Certis Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "Telecom ParisTech", "source_name": "UMR 5141, CNRS, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CVPR08c.pdf", "http://certis.enpc.fr/publications/papers/TSI0718.pdf", "http://imagine.enpc.fr/~audibert/Mes%20articles/CVPR08c.pdf", "http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/267.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/267.pdf", "http://www.di.ens.fr/willow/pdfs/CVPR08c.pdf", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/file/CVPR08c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587607", "http://doi.org/10.1109/CVPR.2008.4587607", "http://service.tsi.telecom-paristech.fr/cgi-bin//valipub_download.cgi?dId=50", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/document"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "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": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "390faba76c076e6bf8db4b0850366bd084be257a", "title": "Real-time keypoint-based object tracking via online learning", "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"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6747687"]}, {"id": "2cd7821fcf5fae53a185624f7eeda007434ae037", "title": "Exploring the geo-dependence of human face appearance", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835989", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835989", "http://doi.org/10.1109/WACV.2014.6835989"]}, {"id": "ad173dd56894fe00ab1bca68c284dc34b5e67a0e", "title": "Multi-scale object detection by clustering lines", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["http://hci.iwr.uni-heidelberg.de/COMPVIS/research/voting/ommer_cvl_iccv09.pdf", "https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/ommer_cvl_iccv09.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459200", "http://doi.org/10.1109/ICCV.2009.5459200"]}, {"id": "38d782a3ec91e2f8b0be131243eacfe6e6b07284", "title": "Robustness Against Unknown Noise for Raw Data Fusing Neural Networks", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}, {"name": "Royal Holloway, Egham Hill, Egham, United Kingdom", "source_name": "Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom", "street_adddress": "Egham Hill, Egham TW20 0EX, UK", "lat": "51.42567300", "lng": "-0.56306250", "type": "edu", "country": "United Kingdom"}, {"name": "University Ulm", "source_name": "University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany", "street_adddress": "Albert-Einstein-Allee 41, 89081 Ulm, Germany", "lat": "48.42075690", "lng": "9.94759610", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pure.royalholloway.ac.uk/portal/files/31291311/ITSC18_0485_FI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569911", "http://doi.org/10.1109/ITSC.2018.8569911"]}, {"id": "fe5c43aa19da5cbbf5a42e4697659875f7389b91", "title": "Tracking People in Broadcast Sports", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fe5c/43aa19da5cbbf5a42e4697659875f7389b91.pdf"], "doi": []}, {"id": "e1f041594fa37d407c80b28a13680a9ddc081c49", "title": "Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11232.pdf"], "doi": []}, {"id": "414cf31a68b890dfb395c55e6ba078beaa5d2cbb", "title": "Rotation-Invariant Features for Multi-Oriented Text Detection in Natural Images", "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": "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": "2013", "pdf": ["https://pdfs.semanticscholar.org/414c/f31a68b890dfb395c55e6ba078beaa5d2cbb.pdf"], "doi": []}, {"id": "f5a900b6f9baf8f5aefe2a6cfe6cf7bdbb243c50", "title": "Why my photos look sideways or upside down? Detecting canonical orientation of images using convolutional neural networks", "addresses": [{"name": "Samsung R&D Insitute India - Bangalore, India", "source_name": "Samsung R&D Insitute India - Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026216"]}, {"id": "7d520f474f2fc59422d910b980f8485716ce0a3e", "title": "Designing Convolutional Neural Networks for Urban Scene Understanding", "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", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/2128/4a9310a4b4c836b8dfb6af39c682b7348128.pdf"], "doi": []}, {"id": "dab8b00e5619ceec615b179265cd6d315a97911d", "title": "A two-stage training deep neural network for small pedestrian detection", "addresses": [{"name": "Teikyo University", "source_name": "Teikyo University", "street_adddress": "Japan, \u3012173-8605 Tokyo, \u677f\u6a4b\u533a\u52a0\u8cc0\uff12\u4e01\u76ee\uff11\uff11\u2212\uff11", "lat": "35.75927460", "lng": "139.71450290", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8168106", "http://doi.org/10.1109/MLSP.2017.8168106"]}, {"id": "d012f6d7fd45051adaff8da4ce0860de9f81d445", "title": "A Deep Multi-task Learning Approach to Skin Lesion Classification", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1812.03527.pdf"], "doi": []}, {"id": "9a7671fcb2f8876dba7bf5ed708100d29e3ecfc4", "title": "Learning by focusing: A new framework for concept recognition and feature selection", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/learning_by_focusing_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607609", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607609", "http://doi.org/10.1109/ICME.2013.6607609"]}, {"id": "4a31ca27b987606ae353b300488068b5240633ee", "title": "WSABIE: scaling up to large vocabulary image annotation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2011", "pdf": ["http://bengio.abracadoudou.com/cv/publications/pdf/weston_2011_ijcai.pdf", "http://ijcai.org/Proceedings/11/Papers/460.pdf", "http://www.thespermwhale.com/jaseweston/papers/wsabie-ijcai.pdf"], "doi": ["http://doi.org/10.5591/978-1-57735-516-8%2FIJCAI11-460", "https://www.wikidata.org/entity/Q47516823"]}, {"id": "40b237c04438a1828083a139ebc88f521591375a", "title": "Tracking handheld object using three layer RGB-D image space", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139524"]}, {"id": "24988830d49d96dd83f6cb4f622fd7e1248fa7e5", "title": "DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics", "addresses": [{"name": "College of William and Mary, Williamsburg, VA", "source_name": "College of William and Mary, Williamsburg, VA", "street_adddress": "Sadler Center, 200 Stadium Dr, Williamsburg, VA 23185, USA", "lat": "37.27167400", "lng": "-76.71337800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485905"]}, {"id": "894e4376750b83b63649cc518b121f345ca0df83", "title": "Real-Time Long-Term Tracking With Prediction-Detection-Correction", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8283783"]}, {"id": "fe86ef81dcd6cdfe3a67437b53ab480557b04a71", "title": "Towards Effective Image Classification Using Class-Specific Codebooks and Distinctive Local Features", "addresses": [{"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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001714", "http://doi.org/10.1109/TMM.2014.2388312"]}, {"id": "5f0ddac97b2a3e6fb2d3f0193d346010b9265f4f", "title": "Evaluation on fusion of saliency and objectness for salient object segmentation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808510"]}, {"id": "01f26d2945c4eca35890756d114b4cba9931bf25", "title": "Transform invariant text extraction", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "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": "2013", "pdf": ["http://www.cis.pku.edu.cn/faculty/vision/zlin/Publications/2014-VP-Text.pdf"], "doi": ["http://doi.org/10.1007/s00371-013-0864-7"]}, {"id": "81825711c2aaa1b9d3ead1a300e71c4353a41382", "title": "End-to-end training of object class detectors for mean average precision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.03476.pdf"], "doi": []}, {"id": "0d517ddc86858e4068d52dd6f6df53a9a8599690", "title": "Rotation invariant power line insulator detection using local directional pattern and support vector machine", "addresses": [{"name": "SungKyunKwan University", "source_name": "SungKyunKwan University", "street_adddress": "\uc131\uade0\uad00\ub300, \ub355\uc601\ub300\ub85c, \ucc9c\ucc9c\ub3d9, \uc7a5\uc548\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16357, \ub300\ud55c\ubbfc\uad6d", "lat": "37.30031270", "lng": "126.97212300", "type": "edu", "country": "South Korea"}, {"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7856522"]}, {"id": "aa344c313e2e2820ecfe8b6edfc24eda34e0a120", "title": "One-Class Convolutional Neural Network", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8586962"]}, {"id": "0d60264bbb41ed188f852d96441f43909c3e60ee", "title": "A Feature Descriptor Based on Local Normalized Difference for Real-World Texture Classification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8061018", "http://doi.org/10.1109/TMM.2017.2760102"]}, {"id": "8cded4bbe4202ee81c2b75ebe27f839c87b0755e", "title": "Objectness to improve the bag of visual words model", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025655", "http://doi.org/10.1109/ICIP.2014.7025655"]}, {"id": "b8b11f3b458233a104fbacd3091da9c67f5ca5ed", "title": "Learning Chained Deep Features and Classifiers for Cascade in Object Detection", "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/1702.07054.pdf"], "doi": []}, {"id": "c1d1b1197667facd360196059796ab8cb7b46e96", "title": "PolyMapper: Extracting City Maps using Polygons", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01497.pdf"], "doi": []}, {"id": "ce43209fc68e51ef05fa06cc0fe6210cbd021e3f", "title": "Fused One-vs-All Features With Semantic Alignments for Fine-Grained Visual Categorization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"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"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2016%5CJournal%5C2016-TIP-CV-ZHANGXIAOPENG%5C2016-TIP-CV-02.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358138", "http://doi.org/10.1109/TIP.2015.2509425", "https://www.ncbi.nlm.nih.gov/pubmed/26685247", "https://www.wikidata.org/entity/Q38398268"]}, {"id": "4268dc438d81c9f143edb9097923709b2e7a18ca", "title": "Does Haze Removal Help CNN-based Image Classification?", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.05716.pdf"], "doi": []}, {"id": "c9abf6cb2d916262425033db12cf0181d40be7cb", "title": "Entropy-based Latent Structured Output Prediction-Supplementary materials", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c9ab/f6cb2d916262425033db12cf0181d40be7cb.pdf"], "doi": []}, {"id": "72a4390a6c3b2bc2c3e7d83fc1f99e65e6137573", "title": "Collective Activity Localization with Contextual Spatial Pyramid", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/72a4/390a6c3b2bc2c3e7d83fc1f99e65e6137573.pdf"], "doi": []}, {"id": "00c8e15cf9cbe9c68fbf00f040a632a37cd944df", "title": "Using image saliency and regions of interest to encourage stronger graphical passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Institute of Public Administration, Riyadh, Saudi Arabia", "source_name": "Institute of Public Administration, Riyadh, Saudi Arabia", "street_adddress": "Qurah Al Ayn, Ad Dhubbat\u060c Riyadh 12627, Saudi Arabia", "lat": "24.66818300", "lng": "46.72492830", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2991108"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "e1e85d811825ec56205fc0302ed2c86cbb85e10d", "title": "Training Group Orthogonal Neural Networks with Privileged Information", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.06772.pdf"], "doi": []}, {"id": "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "title": "Computer Vision and Deep Learning for Automated Surveillance Technology", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b0c92f2a619157e2bedf15abb97ed1b0b98f.pdf"], "doi": []}, {"id": "9ad0d957138db7fcad7db77bacfdd5c1c728031c", "title": "Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images", "addresses": [{"name": "Uppsala University", "source_name": "Uppsala University, Uppsala, Sweden", "street_adddress": "Uppsala, 752 36 Uppsala, Sweden", "lat": "59.85090050", "lng": "17.63000930", "type": "edu", "country": "Sweden"}, {"name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "source_name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "street_adddress": "Mahatma Gandhi Rd, A-Zone, Durgapur, West Bengal 713209, India", "lat": "23.54767280", "lng": "87.29313890", "type": "edu", "country": "India"}, {"name": "Medical College Kolkata, Kolkata, India", "source_name": "Medical College Kolkata, Kolkata, India", "street_adddress": "88, College St, Calcutta Medical College, College Square, Kolkata, West Bengal 700073, India", "lat": "22.57374630", "lng": "88.36191530", "type": "edu", "country": "India"}, {"name": "University of Hyderabad", "source_name": "University of Hyderabad, Hyderabad, India", "street_adddress": "CUC, Professor CR Rao Rd, P O, Central University, Gachibowli, Hyderabad, Telangana 500046, India", "lat": "17.45673720", "lng": "78.32638400", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-95921-4_2"]}, {"id": "3ec04a3536007433451a428e090d099c8b2a6add", "title": "Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8bdb/a247b004179b2ac105e41b61ffec57acf7e0.pdf"], "doi": []}, {"id": "02213406b3d7605a6fa08ea0cbcfc52b7cd937a1", "title": "Event-driven dynamic platform selection for power-aware real-time anomaly detection in video", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295060"]}, {"id": "ab88c48e7829029c47ac6deea5c0ccbff3614c5c", "title": "Rethinking Visual Relationships for High-level Image Understanding", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00313.pdf"], "doi": []}, {"id": "1a1c7ba2ee61c9eba57a21208fd028144dda2ce9", "title": "Double Low Rank Matrix Recovery for Saliency Fusion", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing Audit University", "source_name": "Nanjing Audit University, Nanjing, China", "street_adddress": "Gulou, Nanjing, China, 210017", "lat": "32.03902600", "lng": "118.75232100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7506073", "http://doi.org/10.1109/TIP.2016.2588331", "https://www.ncbi.nlm.nih.gov/pubmed/27392360", "https://www.wikidata.org/entity/Q50786987"]}, {"id": "f7dd25ac4f52f23b9c2fa3265c62c030527de53f", "title": "High-Order Distance-Based Multiview Stochastic Learning in Image Classification", "addresses": [{"name": "University of Technology, Australia", "source_name": "Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Hangzhou Dianzi University", "source_name": "Hangzhou Dianzi University", "street_adddress": "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "lat": "30.31255250", "lng": "120.34309460", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6774452", "http://doi.org/10.1109/TCYB.2014.2307862", "https://www.ncbi.nlm.nih.gov/pubmed/25415948", "https://www.wikidata.org/entity/Q50622554"]}, {"id": "0394acc70f58fbb6326d1fbf44e0a6da5a0345d1", "title": "Automated Recognition of Text in Images : A Survey", "addresses": [{"name": "Christ University", "source_name": "Christ University, Bangalore- 560074, India", "street_adddress": "Kengeri Campus Mysore Road Kumbalgodu, Kanmanike, Bengaluru, Karnataka 560074, India", "lat": "12.86303630", "lng": "77.43787070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0394/acc70f58fbb6326d1fbf44e0a6da5a0345d1.pdf"], "doi": []}, {"id": "81ea29bde0216e41420c4591bebb800142fa3269", "title": "Learning Active Learning from Data", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03365.pdf"], "doi": []}, {"id": "742d5b4590284b632ca043a16507fb5a459dceb2", "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"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "a289de92de2503b632efd7acc13080ab026986b7", "title": "Fine-grained object recognition in underwater visual data", "addresses": [{"name": "Aix-Marseille Universit\u00e9, Marseille, France", "source_name": "Aix-Marseille Universit\u00e9, Marseille, France", "street_adddress": "Jardin du Pharo, 58 Boulevard Charles Livon, 13007 Marseille, France", "lat": "43.29362100", "lng": "5.35806600", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}, {"name": "University of Nice Sophia Antipolis", "source_name": "I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France", "street_adddress": "Euclide B, 2000 Route des Lucioles, 06900 Sophia Antipolis, France", "lat": "43.61530240", "lng": "7.06744330", "type": "edu", "country": "France"}, {"name": "Institut Universitaire de France (IUF), Paris, France", "source_name": "Institut Universitaire de France (IUF), Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Toulon, La Garde, France", "source_name": "Universit\u00e9 de Toulon, La Garde, France", "street_adddress": "Avenue de l'Universit\u00e9, 83130 La Garde, France", "lat": "43.13765300", "lng": "6.01454500", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://sis.univ-tln.fr/~glotin/Concetto_Glotin_et_SubmarineObjectRecognition_accepted_MTAPjournal_2015.pdf"], "doi": ["http://doi.org/10.1007/s11042-015-2601-x"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "17e997e6f724f8b92c0b91ad5d7f828714a510c6", "title": "Interactive adaptation of real-time object detectors", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts at Lowell", "source_name": "EECS, University of Massachusetts at Lowell, Lowell, MA, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}, {"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}, {"name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "source_name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.drgoehring.de/bib/goehring14icra/goehring14icra-slides.pdf", "https://people.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf", "https://www.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6907018", "http://doi.org/10.1109/ICRA.2014.6907018"]}, {"id": "451ed51346fe2e6c5de2dbf29733711b31f5fd68", "title": "Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos", "addresses": [{"name": "University of Strasbourg", "source_name": "ICube UMR 7357, CNRS, University of Strasbourg, France", "street_adddress": "4 Rue Kirschleger, 67000 Strasbourg, France", "lat": "48.57744050", "lng": "7.73929500", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05573.pdf"], "doi": []}, {"id": "f8f14c0248a4974ce9a6226db81f9745a6b1ea97", "title": "Part based pedestrian detection based on Logic inference", "addresses": [{"name": "Universidad Carlos III de Madrid", "source_name": "Departamento de estad\u00edstica, Universidad Carlos III de Madrid, Barcelona, Spain", "street_adddress": "Calle Madrid, 126, 28903 Getafe, Madrid, Spain", "lat": "40.31705720", "lng": "-3.72746780", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["http://portal.uc3m.es/portal/page/portal/dpto_ing_sistemas_automatica/investigacion/lab_sist_inteligentes_old/publications/2013-ITSC-Olmeda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728421", "http://doi.org/10.1109/ITSC.2013.6728421"]}, {"id": "8339da16dced3343173fc71373012d73c9f59f8d", "title": "Scalable multi-class object detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_HoughMC_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995441", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995441", "http://doi.org/10.1109/CVPR.2011.5995441"]}, {"id": "8502c089c9affe5955810073b4c814457790065c", "title": "Learning Single-view 3D Reconstruction of Objects and Scenes", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8502/c089c9affe5955810073b4c814457790065c.pdf"], "doi": []}, {"id": "3b20082bd64d8af4041611434ef23fdef57616a8", "title": "Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks", "addresses": [{"name": "University of Stuttgart", "source_name": "University of Stuttgart", "street_adddress": "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "lat": "48.90953380", "lng": "9.18318920", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451679", "http://doi.org/10.1109/ICIP.2018.8451679"]}, {"id": "1539add5ea57fb518cb70ca6af253eec3c9d8a6f", "title": "Efficient Object Localization and Segmentation in Weakly Labeled Videos", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1539/add5ea57fb518cb70ca6af253eec3c9d8a6f.pdf"], "doi": []}, {"id": "6f2819172d270ceb568bf7586d812b298266bcbf", "title": "Edge Fields for Robust Object Proposal", "addresses": [{"name": "Samsung Electronics", "source_name": "Samsung Electronics", "street_adddress": "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "lat": "43.61294840", "lng": "-79.55903030", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6f28/19172d270ceb568bf7586d812b298266bcbf.pdf"], "doi": []}, {"id": "70cb4bdd05cccc1f99cf690582e66b7637b81da7", "title": "MBLLEN: Low-Light Image/Video Enhancement Using CNNs", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70cb/4bdd05cccc1f99cf690582e66b7637b81da7.pdf"], "doi": []}, {"id": "f23114073e0e513b1c1c55e8777bda503721718c", "title": "Dissimilarity Coefficient based Weakly Supervised Object Detection", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10016.pdf"], "doi": []}, {"id": "3f320fbdd5054961cc3766dd2b2ee22c4d4abe01", "title": "Robust object tracking via weight-based local sparse appearance model", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "Hunan City University", "source_name": "Hunan city University, Yiyang, China", "street_adddress": "Heshan, Yiyang, China", "lat": "28.54005500", "lng": "112.38758100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603234", "http://doi.org/10.1109/FSKD.2016.7603234"]}, {"id": "d68a6bf394f8f6440426a84d8494e83d08aa1535", "title": "Automatic Portrait Segmentation for Image Stylization", "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": "2016", "pdf": ["http://xiaoyongshen.me/webpage_portrait/papers/portrait_eg16.pdf"], "doi": ["https://doi.org/10.1111/cgf.12814"]}, {"id": "19d4855f064f0d53cb851e9342025bd8503922e2", "title": "Learning SURF Cascade for Fast and Accurate Object Detection", "addresses": [{"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d468.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/supp/4989d468s1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf", "https://16cbeb23-a-62cb3a1a-s-sites.googlegroups.com/site/leeplus/publications/learningsurfcascadeforfastandaccurateobjectdetection/cvsurf13.pdf?attachauth=ANoY7cprgGHyp0x1H24zmTyefmyqoRoMJFJxg9j-BM6Rh9vToSM_0gtVNgtcm7pgFG_yr6TS1gMJe7AEGilvP9MEizPWXUkP-NHn4b6wB49ETjP5XUJo93ObOe7SWdAUiCTeHWGdjA3aFjtBPOiSWteKMqeMeteYqnVW7e3NpALb8cnhR4TFfbcT82NKsxTv_XgJNenB-1UGij2Ayg0COitzW-6AVpls1e5yGDCdzMc-Ij8VgOxAWfLbiKzodL1hmPHLsrT4yM_cXV3B0vgpjQSmVzNgViA1s5cANrI-EjUTpxRczBT_RIA%3D&attredirects=3&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619289", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.445", "http://doi.org/10.1109/CVPR.2013.445"]}, {"id": "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "title": "Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "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"}, {"name": "Guizhou University", "source_name": "Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China", "street_adddress": "Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025", "lat": "26.42408400", "lng": "106.67353400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37a5/f93048cbfb74d122455531b4bc4f6e15d48f.pdf"], "doi": []}, {"id": "4be211df856e2fc0d999598ba6561a22e65997b6", "title": "Object proposal using 3D point cloud for DRC-HUBO+", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Naver Labs, Seongnam, 13561, Korea", "source_name": "Naver Labs, Seongnam, 13561, Korea", "street_adddress": "8 Gumi-ro, Gumi-dong, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", "lat": "37.33772020", "lng": "127.10965330", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7759113", "http://doi.org/10.1109/IROS.2016.7759113"]}, {"id": "965bf5726891428a2af6922ead4779c0a1331392", "title": "Image categorization using a semantic hierarchy model with sparse set of salient regions", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Second Hospital of Nanjing, Nanjing, China", "source_name": "The Second Hospital of Nanjing, Nanjing, China", "street_adddress": "1 Zhongfu Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028", "lat": "32.08824580", "lng": "118.76893790", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-013-2410-1"]}, {"id": "9825c4dddeb2ed7eaab668b55403aa2c38bc3320", "title": "Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09532.pdf"], "doi": []}, {"id": "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "title": "Divide and Count: Generic Object Counting by Image Divisions", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8488575", "http://doi.org/10.1109/TIP.2018.2875353", "https://www.ncbi.nlm.nih.gov/pubmed/30307867"]}, {"id": "108961c7366e36825ffed94ac9eab603e05b6bc6", "title": "Deep Visual-Semantic Alignments for Generating Image Descriptions", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.2306.pdf"], "doi": []}, {"id": "1b79c2e3816eead394145f2f1d12d3314431a035", "title": "Local structured representation for generic object 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"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-016-5530-6"]}, {"id": "e103a8992a9eab5c2a5e8072a0cff7f5b68959a2", "title": "Robust person head detection based on multi-scale representation fusion of deep convolution neural network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324433", "http://doi.org/10.1109/ROBIO.2017.8324433"]}, {"id": "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "title": "Zero-Shot Object Detection", "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"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04340.pdf"], "doi": []}, {"id": "e816e2bdcfc7a93355ec3f8f336bf2b05ac98b21", "title": "Locality constrained low-rank sparse learning for object tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7287991"]}, {"id": "36bce8938ce499ee1ec5783a37de6dcfaff53f5c", "title": "High-speed railway catenary components detection using the cascaded convolutional neural networks", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261459"]}, {"id": "80ab008243b5a61c8a74a0a3e2aaf702b1f906b3", "title": "Ship detection for automating navigational watch", "addresses": [{"name": "Tokyo University of Marine Science and Technology", "source_name": "Tokyo University of Marine Science and Technology, Japan", "street_adddress": "4 Chome-5-\uff17 Konan, Minato, Tokyo 108-8477, Japan", "lat": "35.62697170", "lng": "139.74764520", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6935702"]}, {"id": "ab781f035720d991e244adb35f1d04e671af1999", "title": "Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": ["https://arxiv.org/pdf/1712.07465.pdf"], "doi": []}, {"id": "e41876930495ee879b0d1cda9a85f82102884b17", "title": "Robotic arm control by fine-tuned convolutional neural network model", "addresses": [{"name": "Istanbul Teknik Universitesi", "source_name": "Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye", "street_adddress": "\u0130n\u00f6n\u00fc Caddesi, No. 65, G\u00fcm\u00fc\u015fsuyu, 34437 Beyo\u011flu/\u0130stanbul, Turkey", "lat": "41.03790740", "lng": "28.99212370", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960444", "http://doi.org/10.1109/SIU.2017.7960444"]}, {"id": "4c6421fab6f7be06f4b2a8d558dceb3ccf9426da", "title": "Fast , Deep Detection and Tracking of Birds & Nests", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c64/21fab6f7be06f4b2a8d558dceb3ccf9426da.pdf"], "doi": []}, {"id": "7d98e98e64f2622d321bd3b410a4636fce39be50", "title": "Self-Paced Cross-Modal Subspace Matching", "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": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2911527"]}, {"id": "cf8a0a9310b3c30003b65ec62fa92d8ee672f40b", "title": "Acquiring Object Experiences at Scale", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/f168/38c9f08b5e0fc3e7495b99f721f90ea6baba.pdf"], "doi": []}, {"id": "b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01", "title": "Vehicle detection and localization on bird's eye view elevation images using convolutional neural network", "addresses": [{"name": "National Cheng Kung University", "source_name": "National Cheng Kung University", "street_adddress": "\u6210\u5927, 1, \u5927\u5b78\u8def, \u5927\u5b78\u91cc, \u524d\u7532, \u6771\u5340, \u81fa\u5357\u5e02, 70101, \u81fa\u7063", "lat": "22.99919160", "lng": "120.21625134", "type": "edu", "country": "Taiwan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8088147", "http://doi.org/10.1109/SSRR.2017.8088147"]}, {"id": "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "title": "Recognition in Terra Incognita", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04975.pdf"], "doi": []}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "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": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/talk_final.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Fouhey16/fouhey16.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/talk_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780537", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.168", "http://doi.org/10.1109/CVPR.2016.168"]}, {"id": "dccd5d00f88cdb59b0680baa86024f14331c38d6", "title": "Semantic mapping of road scenes", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dccd/5d00f88cdb59b0680baa86024f14331c38d6.pdf"], "doi": []}, {"id": "0a81e5c6429a85564ba742726850109ae07dd24c", "title": "Perceptually Inspired Layout-Aware Losses for Image Segmentation", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0a81/e5c6429a85564ba742726850109ae07dd24c.pdf"], "doi": []}, {"id": "a22a8c93ae4ed518c894a8ddb348a9d0a99c1387", "title": "Deep Learning Logo Detection with Data Expansion by Synthesising Context", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.09322.pdf"], "doi": []}, {"id": "8fc3051fa78a325454c739dce3e7b77b5bf9de78", "title": "Object Detection and Its Implementation on Android Devices", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8fc3/051fa78a325454c739dce3e7b77b5bf9de78.pdf"], "doi": []}, {"id": "e55f2e7f72ab8f5ad0c0372651f35702c9d54351", "title": "Efficient object detection and segmentation with a cascaded Hough Forest ISM", "addresses": [{"name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "source_name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86208950", "lng": "4.68589230", "type": "edu", "country": "Belgium"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://europa.informatik.uni-freiburg.de/files/rematas2011corp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130356", "http://doi.org/10.1109/ICCVW.2011.6130356"]}, {"id": "bb1df923eff58177f20b2cf46318a31aa7e89143", "title": "Viewpoint-aware object detection and pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126379"]}, {"id": "121503705689f46546cade78ff62963574b4750b", "title": "We Don\u2019t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.08405.pdf"], "doi": []}, {"id": "af7310abcbac6b43ffa850be2315282185b933bc", "title": "Detection and recognition of traffic signs inside the attentional visual field of drivers", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995781", "http://doi.org/10.1109/IVS.2017.7995781", "https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=6143&context=etd"]}, {"id": "e644867bc141453d1f0387c76ff5e7f7863c5f4f", "title": "Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}, {"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10464.pdf"], "doi": []}, {"id": "e047bcb9721c36fb61df1f4d6f7de83f290ec1d4", "title": "Flower classification: Training augmentation using manifold images", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358870", "http://doi.org/10.1109/URAI.2015.7358870"]}, {"id": "0083a395fded81d562317d83e194dfbc47b5c04a", "title": "AT&T Research at TRECVID 2010", "addresses": [{"name": "University Park", "source_name": "Pennsylvania State University, University Park, 16802, USA", "street_adddress": "PENN ST UNIV, PA 16802, USA", "lat": "40.80840750", "lng": "-77.86388350", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/955f/e9a0ba02d82e469c5e719bbde9a5f14a3d32.pdf"], "doi": []}, {"id": "95a1d94880f3466e62cb5e0947e041aba6d02456", "title": "Sparse coding based airport detection from medium resolution Landsat-7 satellite remote sensing images", "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"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6927883"]}, {"id": "30654fd93360a339e271d4b194b7f7463b2c5dac", "title": "COSTA: Co-Occurrence Statistics for Zero-Shot Classification", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Mensink_COSTA_Co-Occurrence_Statistics_2014_CVPR_paper.pdf", "https://computing.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://filebox.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2014/MensinkCVPR2014/MensinkCVPR2014.pdf", "https://pure.uva.nl/ws/files/17209170/MensinkCVPR2014.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/mensink14cvpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909709", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.313", "http://doi.org/10.1109/CVPR.2014.313"]}, {"id": "fa11e3517ed9b08ca1d0dcca2cc5bc3a6ada9fcb", "title": "The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics", "addresses": [{"name": "University of Applied Sciences Western Switzerland", "source_name": "Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland", "street_adddress": "Fili\u00e8re Economie d'entreprise, Case postale 80, Rue de la Plaine 2, 3960 Sierre, Switzerland", "lat": "46.29278120", "lng": "7.53618900", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7320041", "http://doi.org/10.1109/EMBC.2015.7320041", "https://www.ncbi.nlm.nih.gov/pubmed/26737941", "https://www.wikidata.org/entity/Q40136711"]}, {"id": "6941b32d99ddf46e9ccea39a5a32d2133801fabb", "title": "Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network", "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": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6941/b32d99ddf46e9ccea39a5a32d2133801fabb.pdf"], "doi": []}, {"id": "02d9d571980ec2f8d28011a5ad33820d3585755b", "title": "Understanding CNN via deep features analysis", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282184", "http://doi.org/10.1109/APSIPA.2017.8282184"]}, {"id": "1bb0dd8d349cdb1bbc065f1f0e111a8334072257", "title": "Structured Output Learning with High Order Loss Functions", "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": "2012", "pdf": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12a.pdf", "http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12aSupple.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2012_TarlowZ12.pdf", "http://proceedings.mlr.press/v22/tarlow12a/tarlow12aSupple.pdf", "http://www.cs.toronto.edu/~dtarlow/tarlow_zemel_aistats12.pdf"], "doi": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a.html"]}, {"id": "6341274aca0c2977c3e1575378f4f2126aa9b050", "title": "A multi-scale cascade fully convolutional network face detector", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03536.pdf"], "doi": []}, {"id": "282cee05661a690aa525f21b47c6ee39fb26a7c2", "title": "Build a Robust Learning Feature Descriptor by Using a New Image Visualization Method for Indoor Scenario Recognition", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/282c/ee05661a690aa525f21b47c6ee39fb26a7c2.pdf"], "doi": []}, {"id": "182c91f619e0b7a8cd2120139d530750aa0b85a7", "title": "Compressing the Input for CNNs with the First-Order Scattering Transform", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10200.pdf"], "doi": []}, {"id": "886674a5abae3c9bfd262006c67d4ba078e1462b", "title": "A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}, {"name": "Mokpo National University", "source_name": "Mokpo National University, Republic of Korea", "street_adddress": "1666 Yeongsan-ro, Cheonggye-myeon, Muan, Jeollanam-do, South Korea", "lat": "34.91041940", "lng": "126.43608070", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8866/74a5abae3c9bfd262006c67d4ba078e1462b.pdf"], "doi": []}, {"id": "013d5325e1225456de011bee0f45c5bfec872e9d", "title": "ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition", "addresses": [{"name": "Chalearn, Berkeley, California, USA", "source_name": "Chalearn, Berkeley, California, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}, {"name": "Computer Vision Center (UAB), Spain", "source_name": "Computer Vision Center (UAB), Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona - CVC, Spain", "source_name": "Universitat de Barcelona - CVC, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona, Spain", "source_name": "Universitat de Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301329", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301329", "http://doi.org/10.1109/CVPRW.2015.7301329"]}, {"id": "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "title": "End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "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"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51f5/e7b847e65a4cd0634ed9efc6b19819742b70.pdf"], "doi": []}, {"id": "9974ff5429696e815a3c1532577ff4c233b22490", "title": "A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation", "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": "Tencent AI Laboratory, Shenzhen, China", "source_name": "Tencent AI Laboratory, Shenzhen, 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": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371617", "http://doi.org/10.1109/LSP.2018.2844097"]}, {"id": "fe7ae13bf5fc80cf0837bacbe44905bd8749f03f", "title": "Deep Coupled Metric Learning for Cross-Modal Matching", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Deep%20coupled%20metric%20learning%20for%20cross-modal%20matching.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801952", "http://doi.org/10.1109/TMM.2016.2646180"]}, {"id": "062723093e77d942471a77f1a89614d05216a275", "title": "DAVE: A Unified Framework for Fast Vehicle Detection and Annotation", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04564.pdf"], "doi": []}, {"id": "62ee1385725c508cdb64a8318d2e07bddf8b5832", "title": "Shape-based Image Correspondence", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/62ee/1385725c508cdb64a8318d2e07bddf8b5832.pdf"], "doi": []}, {"id": "309e17462a9cd4ebd540b4218600e97b688c3779", "title": "Mouse Behavior Recognition with The Wisdom of", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6185/5e2eb545c227aeced67d2c1e71e3211c3e0c.pdf"], "doi": []}, {"id": "8043117df3fab932c715f2361f1a8bf0f45755dc", "title": "Efficient Correlation Tracking via Center-Biased Spatial Regularization", "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"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434348", "http://doi.org/10.1109/TIP.2018.2865278", "https://www.ncbi.nlm.nih.gov/pubmed/30106730"]}, {"id": "d49bd0ae6f7c85331f06bbcc36088c621a17922b", "title": "CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-014-0236-5"]}, {"id": "0ab65b963f8b71e31bfec188056023147f75303e", "title": "SPNet: Superpixel Pyramid Network for Scene Parsing", "addresses": [{"name": "Beijing University of Technologyy", "source_name": "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "street_adddress": "Chaoyang, China, 100124", "lat": "39.87161100", "lng": "116.47952900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623025"]}, {"id": "3e64282d305b77b39b02e820cfcba2f1e5544793", "title": "Boosted multi-class object detection with parallel hardware implementation for real-time applications", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p7580-chiu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6855064", "http://doi.org/10.1109/ICASSP.2014.6855064"]}, {"id": "2c03ba51f7404d8d9869a997a00f6af801149ac1", "title": "Adaptive spatio-temporal context learning for visual target tracking", "addresses": [{"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}, {"name": "Yazd University", "source_name": "Yazd University, Iran", "street_adddress": "Yazd Province, Yazd, Safaeih\u060c Iran", "lat": "31.83409280", "lng": "54.35699650", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8342331"]}, {"id": "895c5a6f2915d95d518e78d6a0224dad7399492b", "title": "Beyond Bounding Boxes: Precise Localization of Objects in Images", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b43d/d1c7c058831ba3f242997e7743425325b0bd.pdf"], "doi": []}, {"id": "02b6acd8d1f2a5833a29b52766776fd70b3dbb56", "title": "Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels", "addresses": [{"name": "Nokia Technologies, Tampere, Finland", "source_name": "Nokia Technologies, Tampere, Finland", "street_adddress": "Tampere, Finland", "lat": "61.49775240", "lng": "23.76095350", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09558.pdf"], "doi": []}, {"id": "428f087b10141cbd4d827b1df734ace473548e87", "title": "SRIKANTHA , GALL : HUMAN POSE AS CONTECT FOR OBJECT DETECTION 3 3 Object Detection", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/428f/087b10141cbd4d827b1df734ace473548e87.pdf"], "doi": []}, {"id": "9bd9050c53d90dfa86cb22501812afe6fc897406", "title": "Fine-Grained and Layered Object Recognition", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}, {"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9bd9/050c53d90dfa86cb22501812afe6fc897406.pdf"], "doi": []}, {"id": "d0c1cdb4ac772026d6c87a132a6a11a15c91d7a8", "title": "Augmented Kernel Matrix vs Classifier Fusion for Object Recognition", "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"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/eabc/91ea4dccd1850ce0e38f0c379770bd411a18.pdf"], "doi": []}, {"id": "23a44db65ff4913289a3a93fb8c85072ae9d007e", "title": "Biologically Inspired Media Quality Modeling", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806255"]}, {"id": "f852d7ff0b1ade73fdb2dc43578cf414a6c57cab", "title": "Deep learning on small datasets using online image search", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2948633"]}, {"id": "e84973cf0337de616f394df06087989a75a0df3e", "title": "ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09585.pdf"], "doi": []}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "2d5589ad3a228670eac7251b6508cb326793051c", "title": "A comparison of late fusion methods for object detection", "addresses": [{"name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "source_name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "street_adddress": "Sandtorstra\u00dfe 22, 39106 Magdeburg, Germany", "lat": "52.13925980", "lng": "11.65195280", "type": "company", "country": "Germany"}], "year": "2013", "pdf": ["http://www2.informatik.hu-berlin.de/~knauer/Publikationen/knauer2013c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738679", "http://doi.org/10.1109/ICIP.2013.6738679"]}, {"id": "f678f31e7bb5eda34098b0fed608cfad5e372509", "title": "Discriminative Kernel Feature Extraction and Learning for Object Recognition and Detection", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f678/f31e7bb5eda34098b0fed608cfad5e372509.pdf"], "doi": []}, {"id": "df0e280cae018cebd5b16ad701ad101265c369fa", "title": "Deep Attributes from Context-Aware Regional Neural Codes", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02470.pdf"], "doi": []}, {"id": "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "title": "High performance and fast object detection in road environments", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310148", "http://doi.org/10.1109/IPTA.2017.8310148"]}, {"id": "2f98d667cdd7e59fd3f2de638bb286d6250c8900", "title": "Weakly Supervised One-Shot Detection with Attention Similarity Networks", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03329.pdf"], "doi": []}, {"id": "392589e60f203b19b1d314ff1005182a668c594b", "title": "Learning Joint Multimodal Representation with Adversarial Attention Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240614"]}, {"id": "66586f1d755362f485f25acfc60153c2a5ed1533", "title": "A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images", "addresses": [{"name": "University of Norway", "source_name": "University of Norway, P.O. Box 114 Blindern, NO-0314, Troms\u00d8, Norway", "street_adddress": "Troms\u00f8, Norway", "lat": "69.64920470", "lng": "18.95532390", "type": "edu", "country": "Norway"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8518533", "http://doi.org/10.1109/IGARSS.2018.8518533"]}, {"id": "775461c0ed08a24cdaeca8975fadfc9846d509fe", "title": "Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.04042.pdf"], "doi": []}, {"id": "3af130e2fd41143d5fc49503830bbd7bafd01f8b", "title": "How Do We Evaluate the Quality of Computational Editing Systems", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": []}, {"id": "2851efe83633a1c80272ba2c9302a1333dd32523", "title": "Understanding and localizing activities from correspondences of clustered trajectories", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze", "source_name": "Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy", "street_adddress": "Via di Santa Marta, 3, 50139 Firenze FI, Italy", "lat": "43.79849010", "lng": "11.25302550", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://www.micc.unifi.it/wp-content/uploads/2017/01/1-s2.0-S1077314216301965-main.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.11.007"]}, {"id": "094f5e36dae2602e179f2c1d95a616df3dbe967f", "title": "Bilinear classifiers for visual recognition", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/094f/5e36dae2602e179f2c1d95a616df3dbe967f.pdf"], "doi": []}, {"id": "7791ce332eb0e9b5e1f839c62a9b8cf5bfd51110", "title": "Local Image Descriptor: Modern Approaches", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-662-49173-7"]}, {"id": "da53cd51d9d4d047f10144233ad925133ad43207", "title": "Multimodal Social Media Analysis for Gang Violence Prevention", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08465.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "c11a2501204e9e7c4a53d8a3c87055b2b11c73df", "title": "Adaptive Learning Algorithms for Transferable Visual Recognition", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c11a/2501204e9e7c4a53d8a3c87055b2b11c73df.pdf"], "doi": []}, {"id": "c55f15ffdd01c526624626ea94ae90263ee86fee", "title": "Multi-sensors people detection system for heavy machines", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957798", "http://doi.org/10.1109/ITSC.2014.6957798"]}, {"id": "e8def76dd702df44b0e1af7dbc0360bb7ef14562", "title": "Rendering Physically Correct Raindrops on Windshields for Robustness Verification of Camera-based Object Recognition", "addresses": [{"name": "University of T\u00fcbingen", "source_name": "University of T\u00fcbingen", "street_adddress": "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "lat": "48.52947820", "lng": "9.04377400", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500494", "http://doi.org/10.1109/IVS.2018.8500494"]}, {"id": "838420cebfdad4e93221f8fe203c09155983141a", "title": "Subspace Alignment Based Domain Adaptation for RCNN Detector", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.05578.pdf"], "doi": []}, {"id": "748305f0b2d686d51ccf893207697d6cfb39e890", "title": "COVER LOCALIZATION IN AERIAL IMAGES WITH A DEEP LEARNING APPROACH", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7483/05f0b2d686d51ccf893207697d6cfb39e890.pdf"], "doi": []}, {"id": "15c820aea3dba1902485f34f635e13f69204e501", "title": "Object tracking using 2DLPP manifold learning", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6915971"]}, {"id": "5c7964b57fcac612dc18e27e18f98eeba9404707", "title": "Fusing visual and range imaging for object class recognition", "addresses": [{"name": "General Motors Advanced Technical Center, Herzliya, Israel", "source_name": "General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel", "street_adddress": "46733, HaMada St 7, Herzliya, Israel", "lat": "32.16659230", "lng": "34.81274680", "type": "company", "country": "Israel"}, {"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": "2011", "pdf": ["http://www.researchgate.net/profile/Aharon_Bar_hillel/publication/221109977_Fusing_visual_and_range_imaging_for_object_class_recognition/links/0fcfd505985047018a000000.pdf", "https://740f0a9b-a-62cb3a1a-s-sites.googlegroups.com/site/aharonbarhillel/Fusion_ICCV2011.pdf?attachauth=ANoY7cqh0aiOE_NJSnkxPUgHiRXPjpmSRFaM58Kcrv56pJaVZRwlMwoboaMbJIxNA9dagRkz2dr74VkTYs4gr1yjZgW5fMUZOMbTyOYU1DG4V5tef3xzTOLTVoQDVlBNeN8zVX3UCCijr73jsm77aRBdXo6Bwj7axlN5UbiT6O-wjDLLm4BMGxRm-yyGXisuz8Fz96C89JQV3SEPWqJphcRyUTmW_07W-EVPEK3sJp288fQ4JyySGKE%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126226", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126226", "http://doi.org/10.1109/ICCV.2011.6126226"]}, {"id": "cc6983184d5a1ae077deab222ecd381cd44410ea", "title": "Adaptive visual tracking with reacquisition ability for arbitrary objects", "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": "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": "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": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631254", "http://doi.org/10.1109/ICRA.2013.6631254"]}, {"id": "263ab80451b236c27675ca4c6aff5c72fef77f4b", "title": "ExFuse: Enhancing Feature Fusion for Semantic Segmentation", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03821.pdf"], "doi": []}, {"id": "51a09f0305a0cdd48ccaac070363c71bc2c49938", "title": "Improving public datasets markings' quality using unsupervised refinement kernels", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3205862"]}, {"id": "f6e00d6430cbbaa64789d826d093f7f3e323b082", "title": "Visual Object Recognition", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5255/490925aa1e01ac0b9a55e93ec8c82efc07b7.pdf"], "doi": []}, {"id": "f8a38c8aa9d2f9f2db64fcc98f5b4770551d70f2", "title": "Top-Down Saliency Detection via Contextual Pooling", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese 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": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11265-013-0768-9"]}, {"id": "b6dc1cd3cabdfea7363d41773a315a0d241dc836", "title": "Local Context Priors for Object Proposal Generation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b6dc/1cd3cabdfea7363d41773a315a0d241dc836.pdf"], "doi": []}, {"id": "ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083", "title": "Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04606.pdf"], "doi": []}, {"id": "fd80b1b1a3509e616af97a181d82c6cdf7ba4721", "title": "Hierarchical Parsing Net: Semantic Scene Parsing From Global Scene to Objects", "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": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8306891", "http://doi.org/10.1109/TMM.2018.2812600"]}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}, {"id": "c4fe488c0cff49e1ed6de1425ede27900005fd87", "title": "Multi-scale Location-Aware Kernel Representation for Object Detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00428.pdf"], "doi": []}, {"id": "5250f319cae32437489bb97b2ed9a1dc962d4d39", "title": "Computational Baby Learning.", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.2861.pdf"], "doi": []}, {"id": "1c8897aaac36c9f96b86b4e6d412e91512429cde", "title": "Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04924.pdf"], "doi": []}, {"id": "e70360dec906df73e7de268b801b51296f55471e", "title": "Object detection based on ensemble of exemplars", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7280164"]}, {"id": "e5a0e119ce4925a55910dcf0b5667ab551f8cdf1", "title": "Segmentation Free Object Discovery in Video", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00221.pdf"], "doi": []}, {"id": "3a4c70ca0bbd461fe2e4de3448a01f06c0217459", "title": "Accurate Vision-based Vehicle Localization using Satellite Imagery", "addresses": [{"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.09171.pdf"], "doi": []}, {"id": "3d61a6834371ef08f25f5eeea615808380e109e2", "title": "Robust Visual Tracking Using Exemplar-Based Detectors", "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"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368904", "http://doi.org/10.1109/TCSVT.2015.2513700"]}, {"id": "0678a8abea82793993cd89383319da75f6dc4be3", "title": "ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03776.pdf"], "doi": []}, {"id": "12017d411ad5db2fce87eee19540ba22dc87bdf1", "title": "People detection in heavy machines applications", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c1fb/fe7118c36d76f05b5bfe4a296510d35ec111.pdf", "https://www.researchgate.net/profile/Vincent_Fremont/publication/271462952_People_Detection_in_Heavy_Machines_Applications/links/5536237d0cf268fd00160d5c.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751572", "http://doi.org/10.1109/ICCIS.2013.6751572", "https://hal.archives-ouvertes.fr/hal-00936283/document"]}, {"id": "f89894944bd4cb871b722f0fbcb32fbe866c5bb7", "title": "Bio-inspired heterogeneous architecture for real-time pedestrian detection applications", "addresses": [{"name": "Universite Blaise Pascal, Clermont Ferrand, France", "source_name": "Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "Grenoble Alpes University", "source_name": "Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France", "street_adddress": "Maison Jean Kuntzmann, Saint-Martin-d'H\u00e8res, 110 Rue de la Chimie, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19364880", "lng": "5.76946150", "type": "edu", "country": "France"}, {"name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "source_name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "street_adddress": "1, Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925890", "lng": "10.42400630", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-016-0581-3", "https://hal.archives-ouvertes.fr/hal-01298676/document"]}, {"id": "d67e2f60c55884e34fa8e2a154ae12b5983c90e7", "title": "Delivering Deep Learning to Mobile Devices via Offloading", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3097903"]}, {"id": "8a382f000f98cdab7f7b79e543c75c6b8f93b6f9", "title": "Learning Semantic Image Representations at a Large Scale", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a38/2f000f98cdab7f7b79e543c75c6b8f93b6f9.pdf"], "doi": []}, {"id": "250466b42c0b690724c4d2c7ff61ecae489be356", "title": "Recognizing Products: A Per-exemplar Multi-label Image Classification Approach", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://people.inf.ethz.ch/mageorge/eccv14/marian_george_eccv_2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900440.pdf", "http://www.vs.inf.ethz.ch/publ/papers/mageorge_products_eccv2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_29"]}, {"id": "7d35fe4f4a932d7598d94d64b72cfa7e6a70286d", "title": "Experimental Evaluation of Multiplicative Kernel SVM Classifiers for Multi-Class Detection", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7d35/fe4f4a932d7598d94d64b72cfa7e6a70286d.pdf"], "doi": []}, {"id": "a887937b813f267507203d4faef1013043cf09d0", "title": "Automatic Process to Build a Contextualized Detector", "addresses": [{"name": "Blaise Pascal University", "source_name": "Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5891/b87c0eecd76f067c5bafd9cd0702ac6d2fc7.pdf"], "doi": []}, {"id": "a63104ad235f98bc5ee0b44fefbcdb49e32c205a", "title": "Has my algorithm succeeded? an evaluator for human pose estimators", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/Jammalamadaka12eccv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/jammalamadaka12a.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/poster.pdf", "https://www.research.ed.ac.uk/portal/files/17289840/Jammalamadaka_et_al_2012_Has_my_Algorithm_Succeeded.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_9"]}, {"id": "2ca5f4ffcc2dc75422e1ed0a9d848280d82ad626", "title": "Attacking Object Detectors via Imperceptible Patches on Background", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05966.pdf"], "doi": []}, {"id": "dcd283758d77ae5c99d5ecf69e6258c22dd2572c", "title": "Scale-aware multi-level guidance for interactive instance segmentation", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02967.pdf"], "doi": []}, {"id": "1ba7a9c0e658a0d98253f999bf43c2e98c07f4e0", "title": "Real-time visual tracking using compressive sensing", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Chunhua_Shen2/publication/221364339_Real-time_visual_tracking_using_compressive_sensing/links/02e7e5302b5360486e000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995483", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995483", "http://doi.org/10.1109/CVPR.2011.5995483"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "75d0a8e80a75312571951144aaa2d5dd5ae30e43", "title": "Polar Transformation on Image Features for Orientation-Invariant Representations", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}, {"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"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": "2019", "pdf": ["http://eprints.whiterose.ac.uk/132227/1/TMM_camera_ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411338", "http://doi.org/10.1109/TMM.2018.2856121"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "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": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "2d3ad5b92b7514ec114102035322d3953e1fbbd8", "title": "Outlining Objects for Interactive Segmentation on Touch Devices", "addresses": [{"name": "CNRS - IRIT, Toulouse, France", "source_name": "CNRS - IRIT, Toulouse, France", "street_adddress": "Avenue de l'\u00e9tudiant, 31400 Toulouse, France", "lat": "43.56198480", "lng": "1.46798510", "type": "edu", "country": "France"}, {"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123409"]}, {"id": "6035b7f0ddfe618afef72d5f70e4a0dfd11deeb4", "title": "Automated Military Vehicle Detection from Low-Altitude Aerial Images", "addresses": [{"name": "National University of Sciences and Technology", "source_name": "National University of Sciences and Technology", "street_adddress": "National University of Sciences and Technology (NUST), Kashmir Highway, \u062c\u06cc - 10, ICT, \u0648\u0641\u0627\u0642\u06cc \u062f\u0627\u0631\u0627\u0644\u062d\u06a9\u0648\u0645\u062a \u0627\u0633\u0644\u0627\u0645 \u0622\u0628\u0627\u062f, 44000, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "33.64434700", "lng": "72.98850790", "type": "edu", "country": "Pakistan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615865"]}, {"id": "8b06d12795c1714960cc0db17687777aad28ab42", "title": "Pedestrian detection in digital videos using committee of motion feature extractors", "addresses": [{"name": "Universidad Nacional de Mar del Plata, Argentina", "source_name": "Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina", "street_adddress": "De\u00e1n Funes 3350, B7602AYL Mar del Plata, Buenos Aires, Argentina", "lat": "-38.00537090", "lng": "-57.57090000", "type": "edu", "country": "Argentina"}, {"name": "Universidade de Pernambuco (UPE), Recife, Brazil", "source_name": "Universidade de Pernambuco (UPE), Recife, Brazil", "street_adddress": "Av. Gov. Agamenon Magalh\u00e3es - Santo Amaro, Recife - PE, 50100-010, Brazil", "lat": "-8.04406030", "lng": "-34.88611670", "type": "edu", "country": "Brazil"}, {"name": "Universidade de Pernambuco, Brazil", "source_name": "Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil", "street_adddress": "Palmares - State of Pernambuco, 55540-000, Brazil", "lat": "-8.66529440", "lng": "-35.56880500", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285714", "http://doi.org/10.1109/LA-CCI.2017.8285714"]}, {"id": "bb6548b43c737dca642298c46ec4648a403e1b11", "title": "A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569822", "http://doi.org/10.1109/ITSC.2018.8569822"]}, {"id": "aeb2f8e94b8e7f90327fbda3e6eea7313c9ec2e0", "title": "Coupled-layer based visual tracking via adaptive kernelized correlation filters", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-016-1310-4"]}, {"id": "7dfc24b8e21fa7a397d5557574efedd218864d10", "title": "Robust Visual Tracking Via Consistent Low-Rank Sparse Learning", "addresses": [{"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "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 California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv14_clrst.pdf", "http://vision.ai.illinois.edu/publications/zhangijcv2015.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0738-0"]}, {"id": "d7a042c4db29e233861bc556fd763ca608ae078c", "title": "Multi-view object instance recognition in an industrial context", "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"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7a0/42c4db29e233861bc556fd763ca608ae078c.pdf"], "doi": []}, {"id": "50953b9a15aca6ef3351e613e7215abdcae1435e", "title": "Learning coarse-to-fine sparselets for efficient object detection and scene classification", "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"}], "year": "2015", "pdf": ["http://sunw.csail.mit.edu/papers/63_Cheng_SUNw.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Cheng_Learning_Coarse-to-Fine_Sparselets_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298721", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298721", "http://doi.org/10.1109/CVPR.2015.7298721"]}, {"id": "ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe", "title": "Image smoothing via unsupervised learning", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1811.02804.pdf"], "doi": []}, {"id": "8fff5963fe480124d4df4cb6bfcf3aa8dfb34101", "title": "RTSeg: Real-Time Semantic Segmentation Comparative Study", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02758.pdf"], "doi": []}, {"id": "ac6dc2eb153f886ef19429a84de41b6ffed0270a", "title": "Exploiting language models to recognize unseen actions", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2461504"]}, {"id": "397bfda299f789f0c84bf284a868b9ca005c7f84", "title": "Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery", "addresses": [{"name": "German Aerospace Center", "source_name": "Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany", "street_adddress": "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "lat": "48.08342380", "lng": "11.27563320", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02700.pdf"], "doi": []}, {"id": "53d446afc33bd7cf1c9d5d24ab41c0ad6af1fc3c", "title": "An optimized target tracking algorithm of online boosting", "addresses": [{"name": "Air Force Engineering University", "source_name": "Air Force Engineering University, Xi\u2019an, China", "street_adddress": "Baqiao, Xi'an, Shaanxi, China", "lat": "34.27379700", "lng": "109.03617100", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6986234"]}, {"id": "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "title": "Accurate real-time people counting for crowded environments", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ae5b/2b449f59ae0f46f6a31ed4826d98241c394c.pdf"], "doi": []}, {"id": "a1fd80d41c39f61b1f82f20e71b5ad4323dc9bd7", "title": "Fine-grained object recognition with Gnostic Fields", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.chriskanan.com/wp-content/uploads/Kanan_WACV_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836122", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836122", "http://doi.org/10.1109/WACV.2014.6836122"]}, {"id": "a13dac9255dd738932f463a8f462c11419f072db", "title": "Use of Generative Adversarial Network for Cross-Domain Change Detection", "addresses": [{"name": "University of Fukui", "source_name": "Faculty of Engineering, University of Fukui, Japan", "street_adddress": "3 Chome-9-\uff11 Bunkyo, Fukui, Fukui Prefecture 910-8507, Japan", "lat": "36.07509890", "lng": "136.21222390", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08868.pdf"], "doi": []}, {"id": "fab39542b04d5aac48349e456cdb300e7786ee6b", "title": "Object recognition and retrieval by context dependent similarity kernels", "addresses": [{"name": "Certis, Lab, ENPC ParisTech, France", "source_name": "Certis, Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "UMR 5141, LTCI, Telecom ParisTech, France", "source_name": "UMR 5141, LTCI, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CBMI08.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4564949", "http://doi.org/10.1109/CBMI.2008.4564949"]}, {"id": "0ae427cc645162f1a110ffce7b94cd9400138527", "title": "Decentralized Dictionary Learning Over Time-Varying Digraphs Decentralized Dictionary Learning Over Time-Varying Digraphs", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0ae4/27cc645162f1a110ffce7b94cd9400138527.pdf"], "doi": []}, {"id": "cd7551569c460c19139377a90d554b57b506b831", "title": "Multi-pose face detection for accurate face logging", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460662", "http://ieeexplore.ieee.org/document/6460662/"]}, {"id": "812e11fc86e5d183337257978e5a0f26b5668218", "title": "Evaluating ResNeXt Model Architecture for Image Classification", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08700.pdf"], "doi": []}, {"id": "fe683e48f373fa14c07851966474d15588b8c28b", "title": "Hinge-Minimax Learner for the Ensemble of Hyperplanes", "addresses": [{"name": "University of Haifa", "source_name": "University of Haifa", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.76162915", "lng": "35.01986304", "type": "edu", "country": "Israel"}, {"name": "Technion - Israel Institute of Technology", "source_name": "Technion - Israel Institute of Technology", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe68/3e48f373fa14c07851966474d15588b8c28b.pdf"], "doi": []}, {"id": "0228089cf7ae696e946c2cfe757a7c401e5f38f1", "title": "Tooth guard: A vision system for detecting missing tooth in rope mine shovel", "addresses": [{"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://jvbsoares.files.wordpress.com/2016/03/tooth_guard_wacv_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477594", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477594", "http://doi.org/10.1109/WACV.2016.7477594"]}, {"id": "70f6ef15237f3b3f563712a6d269f4a4a17f0af0", "title": "Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation", "addresses": [{"name": "University of Technology at Sydney", "source_name": "Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "source_name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "street_adddress": "Nanshan, Shenzhen, China, 518057", "lat": "22.52743800", "lng": "113.94856500", "type": "company", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303903", "http://doi.org/10.1109/TCSVT.2015.2493500"]}, {"id": "15870e306ac1f8969b9ddf3cc84d59d21acd7cdc", "title": "OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}, {"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": "2010", "pdf": ["http://eprints.pascal-network.org/archive/00007016/01/10olcv.pdf", "http://francesco.orabona.com/papers/10olcv.pdf", "http://mercurio.srv.di.unimi.it/~cesabian/Pubblicazioni/OM-2.pdf", "http://publications.idiap.ch/downloads/papers/2011/Luo_CVPR-OLCV_2010.pdf", "http://publications.idiap.ch/downloads/reports/2010/Luo_Idiap-RR-06-2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543766", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543766", "http://doi.org/10.1109/CVPRW.2010.5543766"]}, {"id": "ddb561cbdc1e8d76e88679c115f277effde4db8d", "title": "Human-like Clustering with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05048.pdf"], "doi": []}, {"id": "8db60e5196657c4f6188ffee3d2a48d188014f6d", "title": "Realtime multi-aircraft tracking in aerial scene with deep orientation network", "addresses": [{"name": "Military Technical College, Cairo, Egypt", "source_name": "Military Technical College, Cairo, Egypt", "street_adddress": "Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.08042180", "lng": "31.29625750", "type": "mil", "country": "Egypt"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0780-1"]}, {"id": "c2be82ed0db509087b08423c8cf39ab3c36549c3", "title": "Pixel-level guided face editing with fully convolution networks", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019363", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019363", "http://doi.org/10.1109/ICME.2017.8019363"]}, {"id": "92ed396feb11d18d9bd05ed1f5ea326ba3b16425", "title": "A visual target tracking algorithm based on improved Kernelized Correlation Filters", "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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7558560"]}, {"id": "33e845e18acbf54ad2e031efe68493d07d7deb61", "title": "Can Diversity amongst Learners Improve Online Object Tracking", "addresses": [{"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2013", "pdf": ["http://gnebehay.com/publications/mcs_2013/mcs_2013.pdf", "http://www.epics-project.eu/publications/2013_nebehay_lncs.pdf", "https://www.gnebehay.com/publications/mcs_2013/mcs_2013.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38067-9_19"]}, {"id": "448ff117f216bba80080ad56851d7dc6bb5e22bd", "title": "Is my new tracker really better than yours?", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836055", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836055", "http://doi.org/10.1109/WACV.2014.6836055"]}, {"id": "26c58e24687ccbe9737e41837aab74e4a499d259", "title": "Codemaps - Segment, Classify and Search Objects Locally", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Centrum Wiskunde & Informatica, Amsterdam, The Netherlands", "source_name": "Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Li_Codemaps_-_Segment_2013_ICCV_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2013/LiICCV2013/LiICCV2013.pdf", "https://staff.fnwi.uva.nl/z.li2/pub/li_codemaps_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751376", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.454", "http://doi.org/10.1109/ICCV.2013.454"]}, {"id": "3abb03b50ed38487ba122bb0330ea7217f6f49c2", "title": "Semantic segmentation priors for object discovery", "addresses": [{"name": "Catchoom, Barcelona, Spain", "source_name": "Catchoom, Barcelona, Spain", "street_adddress": "Rambla de Catalunya, 123, 08006 Barcelona, Spain", "lat": "41.39476070", "lng": "2.15811140", "type": "edu", "country": "Spain"}, {"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}, {"name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "source_name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "street_adddress": "C/ Llorens i Artigas 4-6, 08028 Barcelona, Spain", "lat": "41.38295500", "lng": "2.11573820", "type": "edu", "country": "Spain"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.ais.uni-bonn.de/papers/ICPR_2016_Martin.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899691", "http://doi.org/10.1109/ICPR.2016.7899691"]}, {"id": "39223c8e64221062cd992e7e89e6db858014eac1", "title": "Progressive Recurrent Learning for Visual Recognition", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12047.pdf"], "doi": []}, {"id": "750896331f6d74495037f6c8f6c821b0c50ee44e", "title": "Deconstructing the Deformable Parts Model : Do More with Less", "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": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca09/b434e55db0f5772be7638afa3bd8f785a199.pdf"], "doi": []}, {"id": "778b73effb652ab54c17de194e7ed38f58e5b5be", "title": "Measuring and increasing the capacity of Natural HOG Statistics", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/778b/73effb652ab54c17de194e7ed38f58e5b5be.pdf"], "doi": []}, {"id": "cb05bb5397e077aff7bac3ee26eaabed2779e914", "title": "Deep Learning based Vehicle Detection in Aerial Imagery", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cb05/bb5397e077aff7bac3ee26eaabed2779e914.pdf"], "doi": []}, {"id": "f99a2beca1e85015af62f728b70dc48be93a3c29", "title": "Cross-Modal Learning to Rank with Adaptive Listwise Constraint", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001658.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462599", "http://doi.org/10.1109/ICASSP.2018.8462599"]}, {"id": "eecc4466056761ba6d4909cfd7928de90af140d7", "title": "Dense and Sparse Labeling With Multidimensional Features for Saliency Detection", "addresses": [{"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7802636", "http://doi.org/10.1109/TCSVT.2016.2646720"]}, {"id": "6a64ac585cf7150253c690ed62bc92fb2894a347", "title": "Traffic congestion judgment based on linear spatial pyramid matching using sparse coding", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975892", "http://doi.org/10.1109/ICNC.2014.6975892"]}, {"id": "c0e25fb09fc844a8b7002a0a4ae4d6f13c287537", "title": "CSPS: An Adaptive Pooling Method for Image Classification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://media.pkusz.edu.cn/images/papers/%E5%8F%91%E8%A1%A8-CSPS_An_adaptive_pooling_method_for_Image.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7436795", "http://doi.org/10.1109/TMM.2016.2544099"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "People\u2019s Public Security University of China", "source_name": "People\u2019s Public Security University of China, Beijing, China", "street_adddress": "Changping, Beijing, China, 102202", "lat": "40.12794800", "lng": "116.27810200", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8467369", "http://doi.org/10.1109/TIP.2018.2870946", "https://www.ncbi.nlm.nih.gov/pubmed/30235130"]}, {"id": "7caa3a74313f9a7a2dd5b4c2cd7f825d895d3794", "title": "Markov Chain Monte Carlo for Automated Face Image Analysis", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-016-0967-5"]}, {"id": "e083d6f5084d8a8582af797999185c4e0d2c841a", "title": "R-CNNs for Pose Estimation and Action Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5212.pdf"], "doi": []}, {"id": "446154e26359e7f8fd2f314cca44c1e20da02ac3", "title": "DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06783.pdf"], "doi": []}, {"id": "18ccd8bd64b50c1b6a83a71792fd808da7076bc9", "title": "Object detection and segmentation from joint embedding of parts and pixels", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://www.eecs.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf", "http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126490", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126490", "http://doi.org/10.1109/ICCV.2011.6126490"]}, {"id": "8f310ac62e2e3685cf836bec5ad2dd5945f8c018", "title": "Tag refinement of micro-videos by learning from multiple data sources", "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": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4781-z"]}, {"id": "62f4df68cb1fbedf0c22fa292d9d9a9ef630d21d", "title": "Inverse Sparse Tracker With a Locally Weighted Distance Metric", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip15_ist.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7097026", "http://doi.org/10.1109/TIP.2015.2427518", "https://www.ncbi.nlm.nih.gov/pubmed/25935033", "https://www.wikidata.org/entity/Q48671535"]}, {"id": "21d7c74ed8a1c777debe96937c08b162ee01eac6", "title": "Exploring the Potential of Using Semantic Context and Common Sense in On-Road Vehicle Detection", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500468", "http://doi.org/10.1109/IVS.2018.8500468"]}, {"id": "d4efe5177a932305d0ac742b280da1e97a254f0c", "title": "Learning to detect, localize and recognize many text objects in document images from few examples", "addresses": [{"name": "A2iA SA, Paris, France", "source_name": "A2iA SA, Paris, France", "street_adddress": "39 Rue de la Bienfaisance, 75008 Paris, France", "lat": "48.87651350", "lng": "2.31476700", "type": "company", "country": "France"}, {"name": "Universit\u00e9 de Lyon, Lyon, France", "source_name": "CNRS, Universit\u00e9 de Lyon, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}, {"name": "LIRIS, INSA-Lyon, Villeurbanne, France", "source_name": "LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Teklia SAS, Paris, France", "source_name": "Teklia SAS, Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-018-0305-2"]}, {"id": "47a7b12776de302f5cf34df21eced1bff593dbcf", "title": "Combining deep reinforcement learning with prior knowledge and reasoning", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243067"]}, {"id": "ae4577f3a49ee56ea1c80f6884012c416d083ee5", "title": "Adaptive estimation of inlier and outlier threshold", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677398", "http://doi.org/10.1109/URAI.2013.6677398"]}, {"id": "cda356a979c0a57e1051830551f657db249e3c45", "title": "Architecture for Dynamic Allocation of Computer Vision Tasks", "addresses": [{"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967427"]}, {"id": "7b8ace072475a9a42d6ceb293c8b4a8c9b573284", "title": "Conditional Random Fields for multi-camera object detection", "addresses": [{"name": "EPFL, Lausanne (Switzerland)", "source_name": "EPFL, Lausanne (Switzerland)", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "ETHZ, Zurich (Switzerland)", "source_name": "ETHZ, Zurich (Switzerland)", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00855.pdf", "https://infoscience.epfl.ch/record/167890/files/Conditional%20Random%20Fields%20for%20Multi-Camera%20Object%20Detection.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126289", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126289", "http://doi.org/10.1109/ICCV.2011.6126289"]}, {"id": "335be9250ba4a69a303abc3e202fb7c9c8551f49", "title": "Large scale visual classification with SVM, create the unique article through NLP", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8257788"]}, {"id": "553c4cb8ae6968515efe7ffcb6c30ca5338a32de", "title": "InverseNet: Solving Inverse Problems with Splitting Networks", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00202.pdf"], "doi": []}, {"id": "16161051ee13dd3d836a39a280df822bf6442c84", "title": "Learning Efficient Object Detection Models with Knowledge Distillation", "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"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4bd3/f187f3e09483b1f0f92150a4a77409691b0f.pdf"], "doi": []}, {"id": "1504eae5487e1e062fef96e1e424de5d3a5a3858", "title": "MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078976"]}, {"id": "ed4bd8e3805853f906029f9b917f22b3cd2fc3bf", "title": "Lazy Dragging: Effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7889309", "http://doi.org/10.1109/TCE.2017.014769"]}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "b7407b2ea67b8c82246f013f4966c4cac1507e60", "title": "Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b740/7b2ea67b8c82246f013f4966c4cac1507e60.pdf"], "doi": []}, {"id": "8f76401847d3e3f0331bab24b17f76953be66220", "title": "Deep Coding Network", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"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": "2010", "pdf": ["http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2010_1077.pdf", "http://papers.nips.cc/paper/3929-deep-coding-network.pdf", "http://stat.rutgers.edu/home/tzhang/papers/nips10-coding.pdf", "http://www.linyq.com/DCN_slides.pdf"], "doi": ["http://papers.nips.cc/paper/3929-deep-coding-network"]}, {"id": "7bf7483f96a5f08a0c762831f7214b4caf451d24", "title": "Improving object detection accuracy with region and regression based deep CNNs", "addresses": [{"name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "source_name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "gov", "country": "China"}, {"name": "Ocean University of Chisana", "source_name": "Ocean University of Chisana, Qingdao, China", "street_adddress": "5 Yushan Rd, Shinan Qu, Qingdao Shi, Shandong Sheng, China", "lat": "36.06125500", "lng": "120.33530100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304297", "http://doi.org/10.1109/SPAC.2017.8304297"]}, {"id": "55f7699e768457d40c5232448cdca4503db2821b", "title": "Temporal consistency object tracker with ranking mechanism", "addresses": [{"name": "JiaYing University", "source_name": "JiaYing University, Meizhou, China", "street_adddress": "China, Guangdong, Meizhou, Meijiang, \u6885\u677e\u8def100\u53f7", "lat": "24.32538700", "lng": "116.12873200", "type": "edu", "country": "China"}, {"name": "Longyan University", "source_name": "Longyan University, Fujian, China", "street_adddress": "Xinluo, Longyan, China", "lat": "25.03291000", "lng": "117.01961900", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418834", "http://doi.org/10.1109/ROBIO.2015.7418834"]}, {"id": "4e5be30a51f6f5cde38b4917ab9e8c51d85ad16c", "title": "Fast dynamic video content exploration", "addresses": [{"name": "MIT Lincoln Laboratory", "source_name": "MIT Lincoln Laboratory", "street_adddress": "244 Wood St, Lexington, MA 02421, USA", "lat": "42.45895890", "lng": "-71.26749520", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6699013"]}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "03735225d5f956180cc252af3613796e75930f1a", "title": "Shifting Weights: Adapting Object Detectors from Image to Video", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/nips12-adapt.pdf", "http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video.pdf", "http://vision.stanford.edu/pdf/nips12-adapt.pdf"], "doi": ["http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video"]}, {"id": "d994cae1195536ed1298d9289f014e4a81b88ca7", "title": "Sparse Coding for Object Detection with Deformable Part Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d994/cae1195536ed1298d9289f014e4a81b88ca7.pdf"], "doi": []}, {"id": "c1611b8b68ecc1e4ab2c35a10af70698d26d32ef", "title": "A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546192", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546192", "http://doi.org/10.1109/ICPR.2018.8546192"]}, {"id": "d9a0ccbef012d48813334be3de8319f8dd98e3fb", "title": "Deep Uniqueness-Aware Hashing for Fine-Grained Multi-Label Image Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001683.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461906", "http://doi.org/10.1109/ICASSP.2018.8461906"]}, {"id": "1c720c0da64d6e2e4e04cfa70216215bd33eade5", "title": "Region Trajectories for Video Semantic Concept Detection", "addresses": [{"name": "NVIDIA Research, New York, NY, USA", "source_name": "NVIDIA Research, New York, NY, USA", "street_adddress": "101 Crawfords Corner Rd Suite 4-205, Holmdel, NJ 07733, USA", "lat": "40.36511150", "lng": "-74.16754280", "type": "company", "country": "United States"}, {"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912046"]}, {"id": "504d79d7fba48645ef84a90b94a431f8a7e0612d", "title": "Compositional Compression of Deep Image Features Using Stacked Quantizers", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/504d/79d7fba48645ef84a90b94a431f8a7e0612d.pdf"], "doi": []}, {"id": "0dc0823a7485e2dfba9cdbcec788fe705c9bd8a1", "title": "Lazy dragging: effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Student, IEEE", "source_name": "Student, IEEE", "street_adddress": "Lubbock, TX 79409, USA", "lat": "33.58689190", "lng": "-101.87544120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8013247", "http://doi.org/10.1109/ICCE.2017.7889309"]}, {"id": "a23dbce36d200ef0c65ec29bbffea5b960361f3b", "title": "Pixel-wise neural cell instance segmentation", "addresses": [{"name": "Astellas Research Institute of America, IL, USA", "source_name": "Astellas Research Institute of America, IL, USA", "street_adddress": "8045 Lamon Ave, Skokie, IL 60077, USA", "lat": "42.02797290", "lng": "-87.74949910", "type": "edu", "country": "United States"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8363596", "http://doi.org/10.1109/ISBI.2018.8363596"]}, {"id": "41be021880a916305c82199ddc2298eb271f6590", "title": "Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05272.pdf"], "doi": []}, {"id": "99f95595c45bd7a4fe2cffff07850754955e5e2a", "title": "RRAM-Based Analog Approximate Computing", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"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"}, {"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": "2015", "pdf": ["https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/IEEE%20TCAD_170.pdf", "https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/TCAD15_None.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123597", "http://doi.org/10.1109/TCAD.2015.2445741"]}, {"id": "57642aa16d29bbd9f89f95e3f3dcb8291552db60", "title": "Benchmarking and Analyzing Deep Neural Network Training", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"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": ["http://www.cs.toronto.edu/~pekhimenko/Papers/iiswc18-tbd.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8573476", "http://doi.ieeecomputersociety.org/10.1109/IISWC.2018.8573476", "http://doi.org/10.1109/IISWC.2018.8573476"]}, {"id": "732e4016225280b485c557a119ec50cffb8fee98", "title": "Are all training examples equally valuable?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.6510.pdf"], "doi": []}, {"id": "73e3acf30ecce3771557aa083d5a83308049582b", "title": "Two-stream deep encoder-decoder architecture for fully automatic video object segmentation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305089", "http://doi.org/10.1109/VCIP.2017.8305089"]}, {"id": "6028f819adb0e79e8b846f4ff52fc7f1d4ee5711", "title": "RGB-D Human Detection and Tracking for Industrial Environments", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}, {"name": "Southwest Research Institute, San Antonio, USA", "source_name": "Southwest Research Institute, San Antonio, USA", "street_adddress": "6220 Culebra Rd, San Antonio, TX 78238, USA", "lat": "29.45212560", "lng": "-98.61028110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://robotics.dei.unipd.it/images/Papers/Conferences/MunaroIAS13.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-08338-4_119"]}, {"id": "36aa5dd816553ba2e666d2a4b7d2f346e4b56be2", "title": "Variable scale and anti-occlusion object tracking method with multiple feature integration", "addresses": [{"name": "Xi'an University of Posts and Telecommunications", "source_name": "Xi'an University of Posts and Telecommunications, Xi'an, China", "street_adddress": "W Chang'an Ave, ChangAnQu XiBu DaXueCheng ShangQuan, Changan Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.15246200", "lng": "108.90348400", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7883101"]}, {"id": "488fff23542ff397cdb1ced64db2c96320afc560", "title": "Weakly supervised localization of novel objects using appearance transfer", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_106_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299060", "http://doi.org/10.1109/CVPR.2015.7299060"]}, {"id": "537afabc561a2efa79a903f4859ca63e6592f340", "title": "Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06452.pdf"], "doi": []}, {"id": "e9d82ae7530e605c03440d362d78663c4af0edb6", "title": "Object Detection Using Color Entropies and a Fuzzy Classifier", "addresses": [{"name": "National Chung-Hsing University", "source_name": "National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.", "street_adddress": "No. 145\u865f, Xingda Road, South District, Taichung City, Taiwan 402", "lat": "24.12355200", "lng": "120.67532600", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410716", "http://doi.org/10.1109/MCI.2012.2228592"]}, {"id": "8e31c59c973cecce1a7ef114344513d1b6ec9001", "title": "Ask the dictionary: Soft-assignment location-orientation pooling for image classification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351672", "http://doi.org/10.1109/ICIP.2015.7351672"]}, {"id": "34ccebc467bad0fc179543bde7d1bc04bed2397c", "title": "Recognizing Actions Through Action-Specific Person Detection", "addresses": [{"name": "Computer Vision Centre Barcelona, Barcelona, Spain", "source_name": "Computer Vision Centre Barcelona, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7180357", "http://doi.org/10.1109/TIP.2015.2465147", "https://www.ncbi.nlm.nih.gov/pubmed/26259079"]}, {"id": "33ba256d59aefe27735a30b51caf0554e5e3a1df", "title": "Early active learning via robust representation and structured sparsity", "addresses": [{"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ijcai.org/Proceedings/13/Papers/234.pdf", "http://www.ijcai.org/Proceedings/13/Papers/234.pdf"], "doi": ["http://ijcai.org/Abstract/13/234"]}, {"id": "4efd04f737ff386edd943f2bd63499d1963f1a6f", "title": "Segmentation as selective search for object recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126456"]}, {"id": "78a981ad6e9e3b7839e815ccd96d9d8e773b3eed", "title": "Object recognition as ranking holistic figure-ground hypotheses", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5539839"]}, {"id": "72d7e11b30767f4f5993d794fc040328b23868b5", "title": "Deep neural network acceleration framework under hardware uncertainty", "addresses": [{"name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "source_name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "street_adddress": "La Jolla, CA 92093, USA", "lat": "32.88180060", "lng": "-117.23352350", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://moimani.weebly.com/uploads/2/3/8/6/23860882/isqed_18_nn__1_.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8357318", "http://doi.org/10.1109/ISQED.2018.8357318"]}, {"id": "419550e7b918c64785f087b17f7fde6c94bc6d4e", "title": "Distributional semantics with eyes: using image analysis to improve computational representations of word meaning", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2396422"]}, {"id": "a2a032f907c19256863e1e011b834eb1f8057a4c", "title": "Evaluating the WordsEye Text-to-Scene System: Imaginative and Realistic Sentences", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a2a0/32f907c19256863e1e011b834eb1f8057a4c.pdf"], "doi": []}, {"id": "0d746111135c2e7f91443869003d05cde3044beb", "title": "Partial face detection for continuous authentication", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "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": "2016", "pdf": ["https://arxiv.org/pdf/1603.09364.pdf"], "doi": []}, {"id": "ccd3dcbccae7d903608530bddf6381db8e723a7d", "title": "Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "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"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccd3/dcbccae7d903608530bddf6381db8e723a7d.pdf"], "doi": []}, {"id": "3dcf65754c6ea49ece027964348f4ee792dad758", "title": "Hierarchical joint-guided networks for semantic image segmentation", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001887.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952484", "http://doi.org/10.1109/ICASSP.2017.7952484"]}, {"id": "a864f8cb78958d2b5674e0a68f7e5d7afb4110d8", "title": "Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}, {"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08109.pdf"], "doi": []}, {"id": "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "title": "HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "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": "2019", "pdf": ["https://arxiv.org/pdf/1603.01249.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "8379f3cea577e393156c75f4c06560ba2472da94", "title": "Detection and localization with multi-scale models", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/mss_icpr.pdf", "https://eshed1.github.io/papers/mss_icpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899830", "http://doi.org/10.1109/ICPR.2016.7899830"]}, {"id": "3b60af814574ebe389856e9f7008bb83b0539abc", "title": "Label Refinement Network for Coarse-to-Fine Semantic Segmentation.", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00551.pdf"], "doi": []}, {"id": "863e0b05b60662cf969ad4f5d3314f70a78beaa7", "title": "Color\u2013depth multi-task learning for object detection in haze", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3732-6"]}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "92990ef7866ca906b595e2841e340725fb3ff8da", "title": "Generating Synthetic Data for Text Recognition", "addresses": [{"name": "CVIT, IIIT Hyderabad, India", "source_name": "CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.04224.pdf"], "doi": []}, {"id": "87c2e267fadac9d4f4f694125eb86eaaf7121797", "title": "Fine tuning CNNS with scarce training data \u2014 Adapting imagenet to art epoch classification", "addresses": [{"name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "source_name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/papers/Web_3.0/ICIP2016-hentschel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533049", "http://doi.org/10.1109/ICIP.2016.7533049"]}, {"id": "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "title": "Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "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": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04780.pdf"], "doi": []}, {"id": "68e596972d99635b5431357630512f1828ce90b4", "title": "Weakly Supervised RBM for Semantic Segmentation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/68e5/96972d99635b5431357630512f1828ce90b4.pdf"], "doi": []}, {"id": "6e7a9779dee831658e973ee26ac8bfed2d6da033", "title": "Human Pose Estimation for Multiple Frames", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6e7a/9779dee831658e973ee26ac8bfed2d6da033.pdf"], "doi": []}, {"id": "08eaa845a72a2b78e08e58592d8785942fced649", "title": "What's in a Question: Using Visual Questions as a Form of Supervision", "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": "2017", "pdf": ["https://arxiv.org/pdf/1704.03895.pdf"], "doi": []}, {"id": "420c46d7cafcb841309f02ad04cf51cb1f190a48", "title": "Multi-Scale Context Aggregation by Dilated Convolutions", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07122.pdf"], "doi": []}, {"id": "2603a85b305d041bf749934fe538315ecbc300c2", "title": "Non Maximal Suppression in Cascaded Ranking Models", "addresses": [{"name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "source_name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "street_adddress": "3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France", "lat": "48.70875900", "lng": "2.16400600", "type": "edu", "country": "France"}, {"name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "source_name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "source_name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "street_adddress": "1 Rue Honor\u00e9 d'Estienne d'Orves, 91120 Palaiseau, France", "lat": "48.71464030", "lng": "2.20565390", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/scia2013a.pdf", "https://users.aalto.fi/~kannalj1/publications/scia2013a.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38886-6_39"]}, {"id": "c23734cf46af7c299b72089e5cbc0e50b833e434", "title": "Edge color transform: a new operator for natural scene text localization", "addresses": [{"name": "Shahrood University of Technology", "source_name": "Shahrood University of Technology, Shahrood, Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u0633\u0645\u0646\u0627\u0646\u060c \u0634\u0627\u0647\u0631\u0648\u062f\u060c \u062e\u06cc\u0627\u0628\u0627\u0646 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u060c Iran", "lat": "36.39347730", "lng": "54.94178380", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4663-4"]}, {"id": "e8adb84bbcb4d36e276e4fb4be2e9a7c9e278778", "title": "Rank : Non-Linear Object Detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e8ad/b84bbcb4d36e276e4fb4be2e9a7c9e278778.pdf"], "doi": []}, {"id": "a5fa91dbc72f200970e70debe88375b71ddef40b", "title": "A new performance measure and evaluation benchmark for road detection algorithms", "addresses": [{"name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "source_name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "street_adddress": "Carl-Legien-Stra\u00dfe 30, 63073 Offenbach am Main, Germany", "lat": "50.08472490", "lng": "8.84064370", "type": "company", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany", "source_name": "Max Planck Institute for Intelligent Systems in T\u00fcbingen, Germany", "street_adddress": "Max-Planck-Ring 4, 72076 T\u00fcbingen, Germany", "lat": "48.53574060", "lng": "9.05809890", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.cvlibs.net/publications/Fritsch2013ITSC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728473", "http://doi.org/10.1109/ITSC.2013.6728473"]}, {"id": "605f5d08199b3202dd180590aef1a1648c0e309e", "title": "Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval", "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"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968473", "http://doi.org/10.1109/TMM.2017.2723841"]}, {"id": "025ceb084150433087cd9d3e6725ac439115e526", "title": "Controlling explanatory heatmap resolution and semantics via decomposition depth", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06463.pdf"], "doi": []}, {"id": "06e2178d029b78801c004e512d923f7ce7f9e8eb", "title": "3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/b949/b41677afb5635192a24ccdb7ec4ff7d6c889.pdf"], "doi": []}, {"id": "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "title": "Selective Weakly Supervised Human Detection under Arbitrary Poses", "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": "2017", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/y-cai-pr-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.025", "https://www.wikidata.org/entity/Q56524711"]}, {"id": "2814e52e0095c66ec24cf9ac4202ffb9b77c2706", "title": "Towards Automated Fish Detection Using Convolutional Neural Networks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559068"]}, {"id": "dcc6bc3751191d0c4be131352d5a5bc5d0a26e19", "title": "Performance evaluation of CBIR system based on object detection and evolutionary computation", "addresses": [{"name": "Govt. College of Engineering, Amravati India", "source_name": "Govt. College of Engineering, Amravati India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "Govt. College of Engineering, Amravati, India", "source_name": "Govt. College of Engineering, Amravati, India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "MIT India", "source_name": "M.I.T. College of Engineering Pune, India", "street_adddress": "Survey No. 124, Paud Road, MIT College Campus Ex, Shivtirthanagar, Kothrud, Pune, Maharashtra 411038, India", "lat": "18.51937200", "lng": "73.81496070", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7030849", "http://doi.org/10.1109/GCWCN.2014.7030849"]}, {"id": "0b9c5bfb4d8349bb3f6ddd6fb612b7f9657c93f8", "title": "Inverting and Visualizing Features for Object Detection", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.2278.pdf"], "doi": []}, {"id": "2774b83247331d10a87195290f8e9aa096640dde", "title": "Fast human detection using Node-Combined Part Detector", "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": "2011", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/caosong-icip-1569409401.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116493", "http://doi.org/10.1109/ICIP.2011.6116493"]}, {"id": "d1ff495047a47ea686cde7806cc04b377ef9984f", "title": "Augmented songbook: an augmented reality educational application for raising music awareness", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}, {"name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "source_name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "street_adddress": "14-16 Rue Voltaire, 94270 Le Kremlin-Bic\u00eatre, France", "lat": "48.81552200", "lng": "2.36297300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de La Rochelle", "source_name": "L3i Laboratory, Universit\u00e9 de La Rochelle, La Rochelle cedex 1, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4991-4"]}, {"id": "8448b75afec91e618ab1c2dade7d5500f6ae4289", "title": "The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://vision.eecs.yorku.ca/publications/wildesPAMI2014.pdf", "http://www.cse.yorku.ca/vision/publications/wildesPAMI2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678506", "http://doi.org/10.1109/TPAMI.2013.233", "https://www.ncbi.nlm.nih.gov/pubmed/26353200", "https://www.wikidata.org/entity/Q50620276"]}, {"id": "5907ca4b91c8e8d846871e045bce9a4ca851053a", "title": "Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation", "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 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"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "2014", "pdf": ["http://eiger.ddns.comp.nus.edu.sg/pubs/fusionofmultichannelstructures-tip2014.pdf", "https://pdfs.semanticscholar.org/5907/ca4b91c8e8d846871e045bce9a4ca851053a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728663", "http://doi.org/10.1109/TIP.2014.2303650", "https://www.ncbi.nlm.nih.gov/pubmed/24723537"]}, {"id": "391e52ac04408d3e6496614ffafd6ac89c1b6c45", "title": "Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://ais.informatik.uni-freiburg.de/teaching/ws14/seminar_robotperception/papers/paper_02.pdf", "http://openaccess.thecvf.com/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/data/cvpr14_Seeing3DChairs.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/texts/Aubry14.pdf", "http://www.di.ens.fr/~josef/publications/aubry14.pdf", "https://hal.inria.fr/hal-01057240/file/Aubry14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.487", "http://doi.org/10.1109/CVPR.2014.487"]}, {"id": "a03c62d4206d4dd0ef4bf8312bfdb0d4971a1123", "title": "Modeling Visual Context Is Key to Augmenting Object Detection Datasets", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07428.pdf"], "doi": []}, {"id": "c38082dc5434f0ce4e03394c1187465037eda6bb", "title": "Alcohol Induced Alterations to the Human Fecal VOC Metabolome", "addresses": [{"name": "George Mason University", "source_name": "George Mason University", "street_adddress": "George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA", "lat": "38.83133325", "lng": "-77.30798839", "type": "edu", "country": "United States"}, {"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c380/82dc5434f0ce4e03394c1187465037eda6bb.pdf"], "doi": []}, {"id": "424561d8585ff8ebce7d5d07de8dbf7aae5e7270", "title": "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7485869"]}, {"id": "1158de029ac516d1f073c8db46005f187eceb0ef", "title": "Region-Based Convolutional Networks for Accurate Object Detection and Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7112511"]}, {"id": "feaedf4b24f8d7673c59659cadd4237c2a1dbc90", "title": "A large-scale solar image dataset with labeled event regions", "addresses": [{"name": "Montana State University", "source_name": "Montana State University, Bozeman, MT 59717, USA", "street_adddress": "Bozeman, MT 59717, USA", "lat": "45.66039860", "lng": "-111.04518180", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738896", "http://doi.org/10.1109/ICIP.2013.6738896", "https://www.wikidata.org/entity/Q57765181"]}, {"id": "5b93f70e05b1a1b4a7c2f03a82c9a5178a38cd61", "title": "Comparison of different real time VOC measurement techniques in a ponderosa pine forest", "addresses": [{"name": "University of Innsbruck", "source_name": "Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria", "street_adddress": "Innrain 52, 6020 Innsbruck, Austria", "lat": "47.26335420", "lng": "11.38380060", "type": "edu", "country": "Austria"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/13da/36f4e6be3cd308cf77436c16baba1155278a.pdf"], "doi": []}, {"id": "2eb6caace8296fd4dfd4947efa4fe911c8e133b2", "title": "Measuring the Objectness of Image Windows", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6133291"]}, {"id": "98a77dabca47f102da4c9259ad29ca0fd1e25e89", "title": "PET: An eye-tracking dataset for animal-centric Pascal object classes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177450"]}, {"id": "00bc01bc02b4c602e28bbcc162fa33d449a1e0e6", "title": "Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"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": "2013", "pdf": ["https://pdfs.semanticscholar.org/00bc/01bc02b4c602e28bbcc162fa33d449a1e0e6.pdf"], "doi": []}, {"id": "b0204e6c7301281ec8460e5251cd7c3c83c40883", "title": "Pano-RSOD: A Dataset and Benchmark for Panoramic Road Scene Object 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"}, {"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b020/4e6c7301281ec8460e5251cd7c3c83c40883.pdf"], "doi": []}, {"id": "0fb39e6d74e3166598e190b67a5ddb6f530ac49d", "title": "MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Sherbrooke", "source_name": "University of Sherbrooke, Sherbrooke, Canada", "street_adddress": "2500 Boulevard de l'Universit\u00e9, Sherbrooke, QC J1K 0A5, Canada", "lat": "45.37463260", "lng": "-71.93038130", "type": "edu", "country": "Canada"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Miovision Technologies Inc., Kitchener, Canada", "source_name": "Miovision Technologies Inc., Kitchener, Canada", "street_adddress": "137 Glasgow St, Kitchener, ON N2G 4X8, Canada", "lat": "43.45091180", "lng": "-80.51357790", "type": "company", "country": "Canada"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8387876", "http://doi.org/10.1109/TIP.2018.2848705", "https://www.ncbi.nlm.nih.gov/pubmed/29994117"]}, {"id": "e8f6838a552919eee7b61be745888f2d4c480e22", "title": "Vision-Based Parking-Slot Detection: A DCNN-Based Approach and a Large-Scale Benchmark Dataset", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://sse.tongji.edu.cn/linzhang/files/parkingslot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8412601", "http://doi.org/10.1109/TIP.2018.2857407", "https://www.ncbi.nlm.nih.gov/pubmed/30028704"]}, {"id": "b183947ee15718b45546eda6b01e179b9a95421f", "title": "Edge Boxes: Locating Object Proposals from Edges", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930391.pdf", "http://vision.ucsd.edu/~pdollar/files/papers/ZitnickDollarECCV14edgeBoxes.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/ZitnickDollarECCV14edgeBoxes.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_26"]}, {"id": "cc8a2a5e8c777d2b1cf33220ab5cc28b242afc6e", "title": "Generating Large Scale Image Datasets from 3 D CAD Models", "addresses": [{"name": "University of Massachusetts Lowell", "source_name": "Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), University of Massachusetts Lowell, 01854, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cc8a/2a5e8c777d2b1cf33220ab5cc28b242afc6e.pdf"], "doi": []}, {"id": "322a7dad274f440a92548faa8f2b2be666b2d01f", "title": "Pyramid Scene Parsing Network", "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": "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/1612.01105.pdf"], "doi": []}, {"id": "b724c3f7ff395235b62537203ddeb710f0eb27bb", "title": "R-FCN: Object Detection via Region-based Fully Convolutional Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06409.pdf"], "doi": []}, {"id": "cfa6b08140d43fe8480987a03991268d804f6755", "title": "The impact of speciated VOCs on regional ozone increment derived from measurements at the UK EMEP supersites between 1999 and 2012", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/003c/ef920309c47bb9190c422c1c203a37622c09.pdf"], "doi": []}, {"id": "88bde2b1b4522c726d331218ce7fc6e1b27d8dde", "title": "Is object localization for free? - Weakly-supervised learning with convolutional neural networks", "addresses": [{"name": "INRIA Paris", "source_name": "RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France", "street_adddress": "2 Rue Simone IFF, 75012 Paris, France", "lat": "48.84162120", "lng": "2.38448010", "type": "edu", "country": "France"}, {"name": "INRIA, Paris, France", "source_name": "WILLOW project-team, Laboratoire d'Informatique de l'\u00c9cole Normale Sup\u00e9rieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298668"]}, {"id": "455da02e5048dffb51fb6ab5eb8aeca5926c9d9a", "title": "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005506"]}, {"id": "2fa1f1fc566a0b770b1f39ed5ca1e602a28a5636", "title": "Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.04143.pdf"], "doi": []}, {"id": "e56bb892c581f682052ddd3896c65a2b29e64612", "title": "Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02734.pdf"], "doi": []}, {"id": "9217e28b2273eb3b26e4e9b7b498b4661e6e09f5", "title": "Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02611.pdf"], "doi": []}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "a3d96844dc4fc3b51f3b8361c72f156800794251", "title": "BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01640.pdf"], "doi": []}, {"id": "f986968735459e789890f24b6b277b0920a9725d", "title": "Places: A 10 Million Image Database for Scene Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["http://places2.csail.mit.edu/PAMI_places.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968387", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2723009", "http://doi.org/10.1109/TPAMI.2017.2723009", "https://www.ncbi.nlm.nih.gov/pubmed/28692961"]}, {"id": "98bb60748eb8ef7a671cdd22faa87e377fd13060", "title": "Part-based R-CNNs for Fine-grained Category Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.3867.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "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/1611.05431.pdf"], "doi": []}, {"id": "6f9f143ec602aac743e07d092165b708fa8f1473", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07293.pdf"], "doi": []}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "5d165ff5b0b389e32809c17838a2afc218a91d62", "title": "Object Detectors Emerge in Deep Scene CNNs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6856.pdf"], "doi": []}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"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": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "0cb53a5ef780f037c1f2fd7de1f748b3f81726bc", "title": "FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.12347.pdf"], "doi": []}, {"id": "1c2c978faad6f27e05cf9e3fca509132ace8fae4", "title": "Beyond PASCAL: A benchmark for 3D object detection in the wild", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of 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": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836101"]}, {"id": "a6d030101caa64f4972760afb2719cee30511909", "title": "SUN RGB-D: A RGB-D scene understanding benchmark suite", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298655"]}, {"id": "ee4a012a4b12d11d7ab8c0e79c61e807927a163c", "title": "Rethinking Atrous Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05587.pdf"], "doi": []}, {"id": "7a96765c147c9c814803c8c9de28a1dd069271da", "title": "SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Technion", "source_name": "Technion", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": ["http://arxiv.org/pdf/1408.3456", "http://ie.technion.ac.il/~roiri/papers/simLex-arxiv.pdf", "http://www.aclweb.org/anthology/J/J15/J15-4004.pdf", "https://arxiv.org/pdf/1408.3456.pdf"], "doi": ["https://doi.org/10.1162/COLI_a_00237", "http://aclweb.org/anthology/J15-4004", "https://www.wikidata.org/entity/Q28732668"]}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "3647d6d0f151dc05626449ee09cc7bce55be497e", "title": "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04861.pdf"], "doi": []}, {"id": "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "title": "Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird\u2019s \u2013Eye View", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Korea", "source_name": "Electronics and Telecommunications Research Institute, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539407", "http://doi.org/10.1109/ICTC.2018.8539407"]}, {"id": "342786659379879f58bf5c4ff43c84c83a6a7389", "title": "Simultaneous Detection and Segmentation", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.1808.pdf"], "doi": []}, {"id": "e94183191183a368bf07eb544654bae4b3cbf407", "title": "DSSD : Deconvolutional Single Shot Detector", "addresses": [{"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.06659.pdf"], "doi": []}, {"id": "0ea75bdc42997d7d7e7bbee26db0d01e3019d8bc", "title": "Object Pose Dataset using Discriminatively Trained Deformable Part Models", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"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"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0ea7/5bdc42997d7d7e7bbee26db0d01e3019d8bc.pdf"], "doi": []}, {"id": "db7d44d14d393d21a95d22c0d6132d9faa197b7d", "title": "Interactive comment on \u201c What effect does VOC sampling time have on derived OH reactivity ? \u201d by", "addresses": [{"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wuppertal", "source_name": "Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany", "street_adddress": "Gau\u00dfstra\u00dfe 20, 42119 Wuppertal, Germany", "lat": "51.24500000", "lng": "7.14950000", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cc59/6c392c1367be2f78600a092de090e086ecd2.pdf"], "doi": []}, {"id": "76d6a8b09432b4ae59d1e3606e1bf1ed0448e8ec", "title": "What effect does VOC sampling time have on derived OH 1 reactivity ? 2 3", "addresses": [{"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wuppertal", "source_name": "Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany", "street_adddress": "Gau\u00dfstra\u00dfe 20, 42119 Wuppertal, Germany", "lat": "51.24500000", "lng": "7.14950000", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fe78/29d0620f3173581b93c78d6310740812fa09.pdf"], "doi": []}, {"id": "81fc84cb71dc61e3411e80129b082243d2c5b248", "title": "Optimizing Data Augmentation for Semantic Segmentation on Small-Scale Dataset", "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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3341020"]}, {"id": "14d9be7962a4ec5a6e55755f4c7588ea00793652", "title": "Return of the Devil in the Details: Delving Deep into Convolutional Nets", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.3531.pdf"], "doi": []}, {"id": "5f963e85c75db44fbd4234ff1d2744f94d1231da", "title": "Salient Object Detection: A Benchmark", "addresses": [{"name": "University of Wisconsin", "source_name": "University of Wisconsin, Madison, USA", "street_adddress": "Madison, WI 53706, USA", "lat": "43.07659200", "lng": "-89.41248750", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7293665"]}, {"id": "e4845fb1e624965d4f036d7fd32e8dcdd2408148", "title": "YOLOv3: An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02767.pdf"], "doi": []}, {"id": "428db42e86f6d51292e23fa57797e35cecd0e2ee", "title": "Hypercolumns for object segmentation and fine-grained localization", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298642"]}, {"id": "080aebd2cc1019f17e78496354c37195560b0697", "title": "MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems", "addresses": [{"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01274.pdf"], "doi": []}, {"id": "325d145af5f38943e469da6369ab26883a3fd69e", "title": "Colorful Image Colorization", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08511.pdf"], "doi": []}, {"id": "1109b663453e78a59e4f66446d71720ac58cec25", "title": "OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks", "addresses": [{"name": "Courant Institute of Mathematical Sciences", "source_name": "Courant Institute of Mathematical Sciences", "street_adddress": "Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72864840", "lng": "-73.99568630", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.6229.pdf"], "doi": []}, {"id": "722fcc35def20cfcca3ada76c8dd7a585d6de386", "title": "Caffe: Convolutional Architecture for Fast Feature Embedding", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654889"]}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "07045f87709d0b7b998794e9fa912c0aba912281", "title": "U-Net: Convolutional Networks for Biomedical Image Segmentation", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04597.pdf"], "doi": []}, {"id": "27ce4b367bf52854efa10adab729b484dcf315aa", "title": "Deep filter banks for texture recognition and segmentation", "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"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299007"]}, {"id": "2a4fc35acaf09517e9c63821cadd428a84832416", "title": "Learning object class detectors from weakly annotated video", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://webdiis.unizar.es/~jcivera/papers/prest_etal_cvpr12.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00905.pdf", "http://www.vision.ee.ethz.ch/publications/papers/proceedings/eth_biwi_00905.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248065", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248065", "http://doi.org/10.1109/CVPR.2012.6248065"]}, {"id": "47643d5e70a4c8e266f47c1b87997b55768722d2", "title": "A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/4764/3d5e70a4c8e266f47c1b87997b55768722d2.pdf"], "doi": []}, {"id": "d414e23d02fb43c35f9173d3f54af7035d51101d", "title": "Take Goods from Shelves: A Dataset for Class-Incremental Object Detection", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3325033"]}, {"id": "0c516f0a648258c467b164bc7aff9779ae68726c", "title": "Impact of artificial dataset enlargement on performance of deformable part models", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02862840", "lng": "28.89049070", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495710"]}, {"id": "273b9b7c63ac9196fb12734b49b74d0523ca4df4", "title": "The Secrets of Salient Object Segmentation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2807.pdf"], "doi": []}, {"id": "49ca83ef6277581ac2b8bf7c121cf8d1f222992e", "title": "Generalized Multiview Analysis: A discriminative latent space", "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": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247923"]}, {"id": "3f3a483402a3a2b800cf2c86506a37f6ef1a5332", "title": "DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06645.pdf"], "doi": []}, {"id": "022c485c5617bbf0b7f40475f9758cddd11a91af", "title": "Describing Textures in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1311.3618.pdf"], "doi": []}, {"id": "1abf6491d1b0f6e8af137869a01843931996a562", "title": "ParseNet: Looking Wider to See Better.", "addresses": [{"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04579.pdf"], "doi": []}, {"id": "2157f202c8c89d924dd4da4d1bcf92d16fcd8893", "title": "Image database TID2013: Peculiarities, results and perspectives", "addresses": [{"name": "Tampere University", "source_name": "Tampere University, Finland, Tampere, Finland", "street_adddress": "Kalevantie 4, 33100 Tampere, Finland", "lat": "61.49364940", "lng": "23.77885280", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["http://mcl.usc.edu/wp-content/uploads/2016/01/1-s2.0-S0923596514001490-main.pdf", "http://www.researchgate.net/profile/Vladimir_Lukin2/publication/268038378_Image_database_TID2013_Peculiarities_results_and_perspectives/links/5469a6b50cf20dedafd0e2fd.pdf"], "doi": ["https://doi.org/10.1016/j.image.2014.10.009", "https://doi.org/10.1016/j.image.2014.10.009", "https://www.wikidata.org/entity/Q61711236"]}, {"id": "063c6ae786c34d3722c6d9060df6339e246bbc3b", "title": "Texture Synthesis Using Convolutional Neural Networks", "addresses": [{"name": "Max Planck Institute for Biological Cybernetics", "source_name": "Max Planck Institute for Biological Cybernetics", "street_adddress": "Max-Planck-Institut f\u00fcr Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, T\u00fcbingen, Landkreis T\u00fcbingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72076, Deutschland", "lat": "48.53691250", "lng": "9.05922533", "type": "edu", "country": "Germany"}, {"name": "Baylor College of Medicine, Houston, TX, USA", "source_name": "Baylor College of Medicine, Houston, TX, USA", "street_adddress": "1 Baylor Plaza, Houston, TX 77030, USA", "lat": "29.71052900", "lng": "-95.39624100", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07376.pdf"], "doi": []}, {"id": "6b1ac8e438041ac02cc8fab5762ca069c386f473", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/%7Ekdtang/papers/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "fad0f098e178cf7f3065b282721509290ecf738c", "title": "Adversarial Learning for Semi-supervised Semantic Segmentation", "addresses": [{"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"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07934.pdf"], "doi": []}, {"id": "416a242f24246f8ee2c00f4d3d1561443dc65b59", "title": "Fully Connected Deep Structured Networks", "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": "2015", "pdf": ["https://arxiv.org/pdf/1503.02351.pdf"], "doi": []}, {"id": "091458abbf195dcf9ce9591ec5ab981e6a8fb68a", "title": "From image-level to pixel-level labeling with Convolutional Networks", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298780"]}, {"id": "bea705a6a3793ffa2f61c33a82b759ad9f706947", "title": "Pyramid Attention Network for Semantic Segmentation", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": ["https://arxiv.org/pdf/1805.10180.pdf"], "doi": []}, {"id": "465cd01133c41f4b518fc118db54549fa04c4cd4", "title": "Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6459040"]}, {"id": "0e01db4197f71450118f81ae5a69ce4916b46421", "title": "Weakly-supervised Discovery of Visual Pattern Configurations", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6507.pdf"], "doi": []}, {"id": "d7ddad7bbda29de7676c21bfeac6be2ce0a07d6f", "title": "Dual Path Networks", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01629.pdf"], "doi": []}, {"id": "b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe", "title": "Subcategory-Aware Object Classification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore Laboratories", "source_name": "Panasonic Singapore Laboratories", "street_adddress": "Singapore", "lat": "1.33648800", "lng": "103.89329250", "type": "company", "country": "Singapore"}], "year": "2013", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a827.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618956", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.112", "http://doi.org/10.1109/CVPR.2013.112"]}, {"id": "4eee87d960754f755fdec073a160af3e2e31672f", "title": "PSANet: Point-wise Spatial Attention Network for Scene Parsing", "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": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCV_2018/papers/Hengshuang_Zhao_PSANet_Point-wise_Spatial_ECCV_2018_paper.pdf", "https://staff.ie.cuhk.edu.hk/~ccloy/files/eccv_2018_psanet.pdf", "https://staff.ie.cuhk.edu.hk/~ccloy/files/eccv_2018_psanet_supp.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01240-3_17"]}, {"id": "054756fa720bdcf1d320ad7a353e54ca53d4d3af", "title": "Semantic part segmentation using compositional model combining shape and appearance", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6124.pdf"], "doi": []}, {"id": "d6a799e64879290efb2a5c1b4f490737f0b1ab98", "title": "DSOD: Learning Deeply Supervised Object Detectors from Scratch", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01241.pdf"], "doi": []}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "0ebbc37e8c1e9766dc0ccf3780a824a30ad9d62e", "title": "Weakly- and Semi-supervised Panoptic Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03575.pdf"], "doi": []}, {"id": "60d5e6495fe87a09ceb7c39db8923f9957809a81", "title": "Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1705.03372.pdf"], "doi": []}, {"id": "b371a2555dfca39797e5045332e5baa2e82c2624", "title": "Weakly-Supervised Semantic Segmentation using Motion Cues", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07188.pdf"], "doi": []}, {"id": "e655c1688aae0ee4cc071fb13b29ef88511f5fe7", "title": "Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e655/c1688aae0ee4cc071fb13b29ef88511f5fe7.pdf"], "doi": []}, {"id": "ae587a4a8842fbe01b9a043b66f762a89dca5074", "title": "Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06254.pdf"], "doi": []}, {"id": "7c2897f6c8c79879a3152f14e791c3a3d1822163", "title": "Where Are the Blobs: Counting by Localization with Point Supervision", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09856.pdf"], "doi": []}, {"id": "1f45b6d800108a277f4b2866420eefee3d2581e0", "title": "Deeply Learning the Messages in Message Passing Inference", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.02108.pdf"], "doi": []}, {"id": "da55a255bc5b72bc90c017d97869ece4c6353bcd", "title": "Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7159101"]}, {"id": "b61c0b11b1c25958d202b4f7ca772e1d95ee1037", "title": "Bridging Category-level and Instance-level Semantic Image Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06885.pdf"], "doi": []}, {"id": "3070a1bd503c3767def898bbd50c7eea2bbf29c9", "title": "Wider or Deeper: Revisiting the ResNet Model for Visual Recognition", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.10080.pdf"], "doi": []}, {"id": "d612a1dd7aa359f1e315a22a825936b4dcb641e2", "title": "Weakly Supervised Region Proposal Network and Object Detection", "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": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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"}, {"name": "The Johns Hopkins University", "source_name": "The Johns Hopkins University, Center for Language and Speech Processing, USA", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCV_2018/papers/Peng_Tang_Weakly_Supervised_Region_ECCV_2018_paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01252-6_22"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "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": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "54d97ea9a5f92761dddd148fb0e602c2293e7c16", "title": "Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation", "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": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/54d9/7ea9a5f92761dddd148fb0e602c2293e7c16.pdf"], "doi": []}, {"id": "4d653b19ce1c7cba79fc2f11271fb90f7744c95c", "title": "Light-Weight RefineNet for Real-Time Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03272.pdf"], "doi": []}, {"id": "247ca98c5a46616044cf6ae32b0d5b4140a7a161", "title": "High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04339.pdf"], "doi": []}, {"id": "3f0214808397b0adbc14a5139bc8d811019a23e1", "title": "One-Shot Learning for Semantic Segmentation", "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/1709.03410.pdf"], "doi": []}, {"id": "b5f2846a506fc417e7da43f6a7679146d99c5e96", "title": "UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.0402.pdf"], "doi": []}, {"id": "276ebc620a8976026bd2d03582b9ecfa3738d43c", "title": "The MovieLens Datasets: History and Context", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2827872"]}, {"id": "187480101af3fb195993da1e2c17d917df24eb23", "title": "Unsupervised Visual Representation Learning by Context Prediction", "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": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.05192.pdf"], "doi": []}, {"id": "2c51c8da2f82a956e633049616b1bb7730faa2da", "title": "Context Aware Computing for The Internet of Things: A Survey", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512846"]}, {"id": "4aa4069693bee00d1b0759ca3df35e59284e9845", "title": "DeViSE: A Deep Visual-Semantic Embedding Model", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/85ac/48c3cc267671fd948ec1ae4c55ccbdd17ed6.pdf"], "doi": []}, {"id": "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "title": "Context Encoders: Feature Learning by Inpainting", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07379.pdf"], "doi": []}, {"id": "0b102b38463b3e1b133c5f237b8782474b4b04b4", "title": "State-of-the-Art in Visual Attention Modeling", "addresses": [{"name": "University of Southern California (USC)", "source_name": "Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180177"]}, {"id": "7845f1d3e796b5704d4bd37a945e0cf3fb8bbf1f", "title": "Multiple Object Recognition with Visual Attention", "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": "2015", "pdf": ["https://arxiv.org/pdf/1412.7755.pdf"], "doi": []}, {"id": "c71db5d3546e22227662ee0f0ce586495ef18899", "title": "SALICON: Saliency in Context", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/salicon_cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Jiang_SALICON_Saliency_in_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298710", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298710", "http://doi.org/10.1109/CVPR.2015.7298710"]}, {"id": "142f38642629b9d268999ad876af482177d36697", "title": "Improving Word Representations via Global Context and Multiple Word Prototypes", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e3e9/b5257e02608794a1d0396b469869e6021d9c.pdf"], "doi": []}, {"id": "39f63dbdce9207b87878290c0e3983e84cfcecd9", "title": "Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition", "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": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5740583"]}, {"id": "29efbe391950ae438c63d86ad5c82b2942efb0b4", "title": "Modeling Context in Referring Expressions", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00272.pdf"], "doi": []}, {"id": "c18a227461e6b3d38fa4515e287432fad8213838", "title": "The Visual Object Tracking VOT2016 Challenge Results", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e508/2b6f3fcd9cef29331214d91bac3c5b9ef544.pdf"], "doi": []}, {"id": "a8f24fcc1eb0354ffd91f0e3031f5c4dc3e02dd6", "title": "R-FCN: Object Detection via Region-based Fully Convolutional Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06409.pdf"], "doi": []}, {"id": "14421119527aa5882e1552a651fbd2d73bc94637", "title": "Searching for objects driven by context", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9b81/86b6bc1e05d7a473d2afebc8a12698d88691.pdf"], "doi": []}, {"id": "1c42b5543c315556c8a961b1a4ee8bc027f70b22", "title": "Accurate Scale Estimation for Robust Visual Tracking", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "Link\u00f6ping, Sweden", "source_name": "Link\u00f6ping, Sweden", "street_adddress": "Link\u00f6ping, Sweden", "lat": "58.41080700", "lng": "15.62137280", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9636/975226da25acb5d285681870c3abe66116e9.pdf"], "doi": []}, {"id": "7069a994c150b0228c4e471ca48ed55d7646bc62", "title": "Fast Visual Tracking via Dense Spatio-temporal Context Learning", "addresses": [{"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/eccv14_stc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930127.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_9", "https://www.wikidata.org/entity/Q57809194"]}, {"id": "a56ed0bc2d69094e351a044ae8bc64ca0da691f8", "title": "SVO: Fast semi-direct monocular visual odometry", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906584"]}, {"id": "2a049d7f943db9f5e4e9e244f18da68189a0c880", "title": "Multiple Kernel Learning for Visual Object Recognition: A Review", "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": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654166"]}, {"id": "a2ca5733c08aa206337141f41e746ceb19953037", "title": "Task context impacts visual object processing differentially across the cortex.", "addresses": [{"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a2ca/5733c08aa206337141f41e746ceb19953037.pdf"], "doi": []}, {"id": "2ac63e298fd3454099cf7d4851756da1de36c41c", "title": "Visual Object Tracking Performance Measures Revisited", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389405"]}, {"id": "371f40f6d32ece05cc879b6954db408b3d4edaf3", "title": "Mining semantic affordances of visual object categories", "addresses": [{"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": "2015", "pdf": ["http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015_poster.pdf", "http://www-personal.umich.edu/~ywchao/publications/chao_cvpr2015.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Chao_Mining_Semantic_Affordances_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299054", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299054", "http://doi.org/10.1109/CVPR.2015.7299054"]}, {"id": "616b7093cfe6ec679f25d63f62c16e937227258f", "title": "Bayesian Multi-object Tracking Using Motion Context from Multiple Objects", "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": ["http://faculty.ucmerced.edu/mhyang/papers/wacv15_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045866", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.12", "http://doi.org/10.1109/WACV.2015.12"]}, {"id": "97f8f968c69cb2b469d2f151e6957d6487cb6b30", "title": "Saliency detection by multi-context deep learning", "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"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298731"]}, {"id": "cef80e5c6012739fb23a90f8fd9218430a6496e3", "title": "Crowdsourcing Annotations for Visual Object Detection", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cf9d/aa503798c3d4e04131bc7bf01544666265d1.pdf"], "doi": []}, {"id": "14b4127ef56f57eab19bb48d80ec169e7b1be944", "title": "Deep Reinforcement Learning for Visual Object Tracking in Videos", "addresses": [{"name": "University of California at Santa Barbara", "source_name": "University of California, Santa Barbara, CA 93106 USA", "street_adddress": "Santa Barbara, CA 93106, USA", "lat": "34.41358680", "lng": "-119.84969760", "type": "edu", "country": "United States"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08936.pdf"], "doi": []}, {"id": "713f73ce5c3013d9fb796c21b981dc6629af0bd5", "title": "Deep Neural Networks for Object Detection", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/713f/73ce5c3013d9fb796c21b981dc6629af0bd5.pdf"], "doi": []}, {"id": "9e1a21c9af589fc2148ce96aa93c9df4a9e5ae02", "title": "Undoing the damage of dataset bias", "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": "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": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/khosla/papers/eccv2012_khosla.pdf", "http://sunw.csail.mit.edu/2013/papers/Khosla_45_SUNw.pdf", "http://www.eecs.berkeley.edu/~tinghuiz/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_12", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1777&context=robotics"]}, {"id": "f523c55a0a8057c5b08add761353ca79946feb07", "title": "Visual Translation Embedding Network for Visual Relation Detection", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08319.pdf"], "doi": []}, {"id": "5cb7e530a63d85d767f244f3c9f7903530312fd1", "title": "Reshaping Visual Datasets for Domain Adaptation", "addresses": [{"name": "U. of Southern California", "source_name": "U. of Southern California", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}, {"name": "U. of Texas at Austin", "source_name": "U. of Texas at Austin", "street_adddress": "Austin, TX 78712, USA", "lat": "30.28491850", "lng": "-97.73405670", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5cb7/e530a63d85d767f244f3c9f7903530312fd1.pdf"], "doi": []}, {"id": "5b03fed2831ac56fca15d033f2cfd584ce9cb04f", "title": "Active Visual Object Search in Unknown Environments Using Uncertain Semantics", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}, {"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507635"]}, {"id": "a4b7be9098847632b15d27ff1d0d04af93636b24", "title": "Visual co-occurrence network: using context for large-scale object recognition in retail", "addresses": [{"name": "SiliconScapes LLC, USA", "source_name": "SiliconScapes LLC, USA", "street_adddress": "United States", "lat": "37.09024000", "lng": "-95.71289100", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Toshiba", "source_name": "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "street_adddress": "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "lat": "35.54931130", "lng": "139.69201440", "type": "company", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351774"]}, {"id": "55666928dda9989153d869e4d99251cfa009f0b7", "title": "Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.3284.pdf"], "doi": []}, {"id": "a564fabf130ff6e2742cfba90c7a4018937d764d", "title": "Radiology Objects in COntext (ROCO): A Multimodal Image Dataset", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04-ROCO_Labels_MICCAI_2018.pdf", "https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01364-6_20", "https://www.wikidata.org/entity/Q57711936"]}, {"id": "5196f3f47be0b61ce3dcf495368771f352e0abba", "title": "Context as Supervisory Signal: Discovering Objects with Predictable Context", "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": "UC Berkeley, USA", "source_name": "UC Berkeley, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://graphics.cs.cmu.edu/projects/contextPrediction/contextPrediction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8691/86910362.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10578-9_24"]}, {"id": "03eb382e04cca8cca743f7799070869954f1402a", "title": "CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06890.pdf"], "doi": []}, {"id": "cf79d83a4a9662d83c9a05b8e7cb5c88b316c023", "title": "Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.03871.pdf"], "doi": []}, {"id": "1a4582ce17389f65f9c44c662b8140c306962e59", "title": "Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6942210"]}, {"id": "184902b1ed5787a3ac9fd9840dde52502cf4bd3c", "title": "Object scene flow for autonomous vehicles", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover, Germany", "source_name": "Leibniz Universität Hannover, Germany", "street_adddress": "Welfengarten 1, 30167 Hannover, Germany", "lat": "52.38296410", "lng": "9.71969890", "type": "edu", "country": "Germany"}, {"name": "MPI T\u00fcbingen, Germany", "source_name": "MPI Tübingen, Germany", "street_adddress": "Bingen, Germany", "lat": "49.96673960", "lng": "7.90459600", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_091_ext.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_abstract.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298925", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298925", "http://doi.org/10.1109/CVPR.2015.7298925"]}, {"id": "0aac1b61897c8e6b15112a2f67c83ff7cdc0e388", "title": "A Tree-Based Context Model for Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871649"]}, {"id": "13ccdfb9d2c2a77192c74ae6352bd684e312d0f8", "title": "Hypercolumns for object segmentation and fine-grained localization", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298642"]}, {"id": "507a5f137deb46622ebfb2de996b04990db7eff8", "title": "Segmentation of unknown objects in indoor environments", "addresses": [{"name": "Vienna University of Technology", "source_name": "Vienna University of Technology", "street_adddress": "TU Wien, Hauptgeb\u00e4ude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, \u00d6sterreich", "lat": "48.19853965", "lng": "16.36986168", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385661"]}, {"id": "6ac3acd8c0cd3d6b234cb2c3f9ca747056c794e0", "title": "Spatially supervised recurrent convolutional neural networks for visual object tracking", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050867"]}, {"id": "410c8e4ee643889c054db64f52f6c85ec7cbcd62", "title": "All-Day Visual Place Recognition : Benchmark Dataset and Baseline", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/410c/8e4ee643889c054db64f52f6c85ec7cbcd62.pdf"], "doi": []}, {"id": "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "title": "Fast Feature Pyramids for Object Detection", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Redmond, Redmond, USA", "source_name": "Microsoft Research Redmond, Redmond, USA", "street_adddress": "14865 NE 36th St, Redmond, WA 98052, USA", "lat": "47.64183920", "lng": "-122.14074650", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/49239/7/DollarPAMI14pyramids_0.pdf", "http://pdollar.github.io/files/papers/DollarPAMI14pyramids.pdf", "http://research.microsoft.com/pubs/220572/DollarPAMI14pyramids.pdf", "https://vision.cornell.edu/se3/wp-content/uploads/2014/09/DollarPAMI14pyramids_0.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714453", "http://doi.org/10.1109/TPAMI.2014.2300479", "https://www.ncbi.nlm.nih.gov/pubmed/26353336", "https://www.wikidata.org/entity/Q40558128"]}, {"id": "10b987b076fe56e08c89693cdb7207c13b870540", "title": "Anticipating Visual Representations from Unlabeled Video", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "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": "2016", "pdf": ["https://arxiv.org/pdf/1504.08023.pdf"], "doi": []}, {"id": "356223d76a850b7d312eec36c70e2f90d78086cc", "title": "Object Categorization Using Local Feature Context", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "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": "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": "2013", "pdf": ["http://www.nlpr.ia.ac.cn/2013papers/gjhy/gh75.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-35728-2_31"]}, {"id": "bed7834ae7d371171977a590872f60d137c2f951", "title": "GuessWhat?! Visual Object Discovery through Multi-modal Dialogue", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08481.pdf"], "doi": []}, {"id": "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "title": "Natural Language Object Retrieval", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.04164.pdf"], "doi": []}, {"id": "df4f851e3c37017822a683b1356c6c390b5b5487", "title": "Image Question Answering: A Visual Semantic Embedding Model and a New Dataset", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/df4f/851e3c37017822a683b1356c6c390b5b5487.pdf"], "doi": []}, {"id": "f25b9aed37614aae007fc876f31eed0595ab9cd0", "title": "Modeling Context Between Objects for Referring Expression Understanding", "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": "2016", "pdf": ["https://arxiv.org/pdf/1608.00525.pdf"], "doi": []}, {"id": "4c56224a7904445e0db836257ac270a517ace36a", "title": "An Object-Oriented Visual Saliency Detection Framework Based on Sparse Coding Representations", "addresses": [{"name": "University of Georgia", "source_name": "University of Georgia, Athens, GA, USA", "street_adddress": "Athens, GA 30602, USA", "lat": "33.94800530", "lng": "-83.37732210", "type": "edu", "country": "United States"}, {"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"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6419789"]}, {"id": "71167cf519940a7373adc221401c396198763ab0", "title": "Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7116/7cf519940a7373adc221401c396198763ab0.pdf"], "doi": []}, {"id": "3e207c05f438a8cef7dd30b62d9e2c997ddc0d3f", "title": "Objects as context for part detection", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3e20/7c05f438a8cef7dd30b62d9e2c997ddc0d3f.pdf"], "doi": []}, {"id": "c8f14f756f38f495a7d0e29b0152ceb8666b8533", "title": "Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "Western Sydney University", "source_name": "Western Sydney University", "street_adddress": "Western Sydney University, Parramatta City Campus, Smith Street, Parramatta, Sydney, Parramatta, NSW, 2150, Australia", "lat": "-33.81608480", "lng": "151.00560034", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0151/46a94f41db5abd92551a4334fd7daae468bf.pdf"], "doi": []}, {"id": "8113a6d723c6f6dd2ff9808cf745480f16abc3f9", "title": "Attentional Network for Visual Object Detection", "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"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01478.pdf"], "doi": []}, {"id": "35136314d998bfbacc4f264bcafcd2709e4d0f68", "title": "Evaluating visual ADAS components on the COnGRATS dataset", "addresses": [{"name": "Goethe University", "source_name": "Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany", "street_adddress": "60323 Frankfurt, Germany", "lat": "50.12706750", "lng": "8.66776350", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535508"]}, {"id": "87697847062e7eefec99a8c3aec888e3eef5e5b9", "title": "Unsupervised Learning of Spoken Language with Visual Context", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8769/7847062e7eefec99a8c3aec888e3eef5e5b9.pdf"], "doi": []}, {"id": "19d6b9725a59f4b624205829d5f03ac893ca1367", "title": "Long-Term Visual Object Tracking Benchmark", "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": "2017", "pdf": ["https://arxiv.org/pdf/1712.01358.pdf"], "doi": []}, {"id": "db9509228938a1788cabbad5827dcdb3be40b897", "title": "Using Discriminative Motion Context for Online Visual Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7342929"]}, {"id": "4b6c0a47cd124b521418c9bb63a0c7ba28806fbf", "title": "Exploring Visual and Motion Saliency for Automatic Video Object Extraction", "addresses": [{"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"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6482623"]}, {"id": "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "title": "Comparison of Visual Datasets for Machine Learning", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://rvc.eng.miami.edu/Paper/2017/IRI17_Gauen.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102956", "http://doi.ieeecomputersociety.org/10.1109/IRI.2017.59", "http://doi.org/10.1109/IRI.2017.59", "http://ecommons.luc.edu/cgi/viewcontent.cgi?article=1148&context=cs_facpubs"]}, {"id": "2d79d338c114ece1d97cde1aa06ab4cf17d38254", "title": "iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://crcv.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://ilab.usc.edu/publications/doc/Borji_etal16cvpr.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Borji_iLab-20M_A_Large-Scale_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.244", "http://doi.org/10.1109/CVPR.2016.244"]}, {"id": "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "title": "Exploring Person Context and Local Scene Context for Object Detection.", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08177.pdf"], "doi": []}, {"id": "a480b58babb1a940f857766add5df963c3636ae6", "title": "Visual Object Tracking by Structure Complexity Coefficients", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7117428"]}, {"id": "82070bef06578a24e63b2b739ec86d4d31bb576a", "title": "Dataset Augmentation in Feature Space", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05538.pdf"], "doi": []}, {"id": "373e134970bafb756f0ae2192be09469c3a2d71b", "title": "Holistic Context Models for Visual Recognition", "addresses": [{"name": "University of California at San Diego", "source_name": "Institute for Neural Computation University of California, San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989834"]}, {"id": "d576ebcb4a0fa54825f0ba05eaf18cd8f9bdda80", "title": "360\u00b0 Video Viewing Dataset in Head-Mounted Virtual Reality", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d576/ebcb4a0fa54825f0ba05eaf18cd8f9bdda80.pdf"], "doi": []}, {"id": "aa0dbfcc3cf172971cc5679c02add3f291c8f886", "title": "The dynamics of invariant object recognition in the human visual system.", "addresses": [{"name": "McGovern Institute for Brain Research", "source_name": "McGovern Institute for Brain Research", "street_adddress": "McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.36262950", "lng": "-71.09144810", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/aa0d/bfcc3cf172971cc5679c02add3f291c8f886.pdf"], "doi": []}, {"id": "7335283be19084ad4e7493f72f957741a0c0dce5", "title": "Learning to Place New Objects in a Scene", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1202.1694.pdf"], "doi": []}, {"id": "a754d21f37bbe3e477b6ca83095235699fcf74c9", "title": "Randomized visual phrases for object search", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248042"]}, {"id": "a7d713f3b465feff60a5f897df9618f8c4b53103", "title": "Object-Graphs for Context-Aware Visual Category Discovery", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871652"]}, {"id": "4fc90013e4e2297f33a86db106843917c824d6b9", "title": "Visual object tracking\u2014classical and contemporary approaches", "addresses": [{"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-015-4246-3"]}, {"id": "7df07834ddde670cd6c626025e0c769837e266ea", "title": "Visual Saliency Detection Based Object Recognition", "addresses": [{"name": "Yanshan University", "source_name": "Yanshan University, Qinhuangdao, China", "street_adddress": "438 Hebei Street West Section, Haigang Qu, Qinhuangdao Shi, Hebei Sheng, China", "lat": "39.90450800", "lng": "119.53971900", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7df0/7834ddde670cd6c626025e0c769837e266ea.pdf"], "doi": []}, {"id": "2f17f59c2e3b71ff8d35677b7c0d0949a3f804a8", "title": "The Role of Context Selection in Object Detection", "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"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02948.pdf"], "doi": []}, {"id": "1c300d0cda4177e69c7a442a1c9783dd8bad4776", "title": "Detection-based object labeling in 3D scenes", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6225316"]}, {"id": "23b696300a80c0479d571dadc20e50846e80b82c", "title": "Deep Visual Analogy-Making", "addresses": [{"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": "2015", "pdf": ["https://pdfs.semanticscholar.org/23b6/96300a80c0479d571dadc20e50846e80b82c.pdf"], "doi": []}, {"id": "79b566bd59a04d6ed8aa0bbffe1250cf955e841b", "title": "A dataset for Movie Description", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298940"]}, {"id": "ab43d5c4772f195d8b5fe9e2247458bd97b4af44", "title": "Visual features for context-aware speech recognition", "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7953112"]}, {"id": "03dbc94b54c85cc34815df629fb508c6729e6eab", "title": "LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03365.pdf"], "doi": []}, {"id": "a9a414604cff39f1a03c5547385dc421e6c8452e", "title": "Fully-Convolutional Siamese Networks for Object Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.09549.pdf"], "doi": []}, {"id": "0862940a255d980d46ef041ab20f153276f96214", "title": "3D Object Representations for Fine-Grained Categorization", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://ai.stanford.edu/~jkrause/papers/3drr13.pdf", "http://ai.stanford.edu/~jkrause/papers/3drr_talk.pdf", "http://vision.stanford.edu/pdf/3drr13.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/KrauseStarkDengFei-Fei_3DRR13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W19/papers/Krause_3D_Object_Representations_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755945"]}, {"id": "06064cddc8c3d0f270e09007dbeb27ff320d5e0d", "title": "Similarity-Based Fusion of MEG and fMRI Reveals Spatio-Temporal Dynamics in Human Cortex During Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7133/189b3532d268d581566b5730148fe9296a8d.pdf"], "doi": []}, {"id": "7698ba9fd1f49157ca2666a93311afbf1ff4e66c", "title": "Visual object detection with deformable part models", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2494532"]}, {"id": "0921135d6af30103ed20aa3cd0aadd8d26c3fee1", "title": "Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}, {"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": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6634163"]}, {"id": "d8def3d02cebd52f319486a9512f8364494eaece", "title": "Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://publications.lib.chalmers.se/records/fulltext/201290/local_201290.pdf"], "doi": ["https://doi.org/10.1016/j.trf.2014.08.004"]}, {"id": "1c9047137e58da1590b0a20d392f635aa29a2114", "title": "Randomized Spatial Context for Object Search", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047863"]}, {"id": "8c3ba3145630de8553fb59acfcf9d34bdd20b1ed", "title": "Visual tracking via adaptive structural local sparse appearance model", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247880"]}, {"id": "8dea22172bd3008ec3c8008bc6edfdfe1e33e439", "title": "CityPersons: A Diverse Dataset for Pedestrian Detection", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05693.pdf"], "doi": []}, {"id": "0b0a44fb4b4c22d86b4f9c72ef061c07b179c73d", "title": "Changedetection.net: A new change detection benchmark dataset", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6238919"]}, {"id": "a7bfb6426359140a0bc0c84741ad9a3ac83eff04", "title": "Object-Level Context Modeling For Scene Classification with Context-CNN", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04358.pdf"], "doi": []}, {"id": "16c6e567091d6eea117f50173f7c0e03c4e54ea0", "title": "Contextual Object Detection With Spatial Context Prototypes", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6809976", "http://doi.org/10.1109/TMM.2014.2321534"]}, {"id": "67f3c7fa63f22a2814f7b25fc71c2e60c7b975ff", "title": "Object Templates for Visual Place Categorization", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": ["https://cs.nju.edu.cn/_upload/tpl/00/ed/237/template237/paper/ACCV2012_VPC_ObejctTemplates.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-37447-0_36"]}, {"id": "a4044c27188bd7279e406e0508f4a9548ba909c3", "title": "A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805258"]}, {"id": "7c0773c7578433a2277e919ac824f142d5de351c", "title": "Zero-shot object recognition by semantic manifold distance", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Fu_Zero-Shot_Object_Recognition_2015_CVPR_paper.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/11767/Gong%20Zero-shot%20object%20recognition%202015%20Accepted.pdf?sequence=1", "https://www.eecs.qmul.ac.uk/~sgg/papers/FuEtAl_CVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298879", "http://doi.org/10.1109/CVPR.2015.7298879"]}, {"id": "7fc43874c925ea0dfd4efb97c9595a00fa183afc", "title": "Visual perception based adaptive feature fusion for visual object tracking", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122800"]}, {"id": "7fb8d9c36c23f274f2dd84945dd32ec2cc143de1", "title": "Semantic segmentation with second-order pooling", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/eccv2012.pdf", "http://videolectures.net/site/normal_dl/tag=725540/eccv2012_carreira_semantic_01.pdf", "http://www.eecs.berkeley.edu/~carreira/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33786-4_32"]}, {"id": "280d632ef3234c5ab06018c6eaccead75bc173b3", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "214f552070a7eb5ef5efe0d6ffeaaa594a3c3535", "title": "Learning Everything about Anything: Webly-Supervised Visual Concept Learning", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://allenai.org/content/publications/objectNgrams_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Divvala_Learning_Everything_about_2014_CVPR_paper.pdf", "http://www.istc-cc.cmu.edu/publications/papers/2014/divvala2014lea.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909814", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.412", "http://doi.org/10.1109/CVPR.2014.412"]}]}
\ No newline at end of file
+{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "dataset": {"key": "voc", "name_short": "VOC", "name_display": "VOC Dataset", "name_full": "Pascal VOC Dataset", "purpose": "Object classification", "comment": "object classification, but contains faces, images number is ALL images of the set", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://host.robots.ox.ac.uk/pascal/VOC/", "verify_do": "Y", "verify_done": "", "cooperative": "N", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "indoor": "N", "outdoor": "N", "campus": "", "cyberspace": "Y", "parent": "", "sources": "flickr", "source_cat": "social media", "usernames": "", "names": "N", "flickr_meta": "", "year_start": "2005", "year_end": "2012", "year_published": "2012", "ongoing": "", "images": "11,530 ", "videos": "0 ", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "obj", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "Y", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "key": "voc", "title": "The Pascal Visual Object Classes (VOC) Challenge", "year": "2009", "pdf": ["http://eprints.pascal-network.org/archive/00006187/01/PascalVOC_IJCV2009.pdf", "http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc09.pdf", "http://pascallin.ecs.soton.ac.uk/challenges/VOC/pubs/everingham10.pdf", "http://www.comp.leeds.ac.uk/me/Publications/ijcv10.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2010/Everingham10/everingham10.pdf", "https://www.research.ed.ac.uk/portal/files/7879113/ijcv_voc09.pdf"], "address": {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, "name": "VOC", "doi": ["https://doi.org/10.1007/s11263-009-0275-4", "https://www.wikidata.org/entity/Q56594395"]}, "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "additional_papers": [], "citations": [{"id": "f9d171019bfeb71733fe36f7fae14f342ca9e51c", "title": "Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f9d1/71019bfeb71733fe36f7fae14f342ca9e51c.pdf"], "doi": []}, {"id": "912760092c200d1151900ff0e34acb113de43c3c", "title": "DNN-Train : Benchmarking and Analyzing DNN Training", "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://pdfs.semanticscholar.org/9127/60092c200d1151900ff0e34acb113de43c3c.pdf"], "doi": []}, {"id": "38b4ac4a0802fdb63dea6769dd1aee075cc3f87d", "title": "Boundary-sensitive Network for Portrait Segmentation", "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"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08675.pdf"], "doi": []}, {"id": "25d7da85858a4d89b7de84fd94f0c0a51a9fc67a", "title": "Selective Search for Object Recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": ["http://graphics.cs.cmu.edu/courses/16-824/2016_spring/slides/seg_3.pdf", "http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf", "https://pure.uva.nl/ws/files/19494140/UijlingsIJCV2013.pdf", "https://staff.fnwi.uva.nl/th.gevers/pub/GeversIJCV2013.pdf", "https://webcourse.cs.technion.ac.il/236815/Spring2016/ho/WCFiles/01_object_proposals_6pp.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0620-5"]}, {"id": "1b3be14d267b3302fd0a0ac0be630cdf2a8ba00b", "title": "Color Image Reconstruction with Perceptual Compressive Sensing", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546222", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546222", "http://doi.org/10.1109/ICPR.2018.8546222"]}, {"id": "87e4f376ed8515f04c75bc06f6b4cc7d2b1ecb69", "title": "Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images", "addresses": [{"name": "University of Warwick", "source_name": "University of Warwick", "street_adddress": "University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK", "lat": "52.37931310", "lng": "-1.56042520", "type": "edu", "country": "United Kingdom"}, {"name": "Tarbiat Modares University", "source_name": "Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran", "street_adddress": "Tehran Province, Tehran, Jalal Al Ahmad St, Iran", "lat": "35.72140940", "lng": "51.38155860", "type": "edu", "country": "Iran"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10243.pdf"], "doi": []}, {"id": "06fc643a48464fd8280d11c1189f49afacbd43a4", "title": "Semantic mapping using object-class segmentation of RGB-D images", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany", "source_name": "Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany", "street_adddress": "Fraunhofer-Institut f\u00fcr Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany", "lat": "50.74890520", "lng": "7.20233730", "type": "company", "country": "Germany"}], "year": "2012", "pdf": ["http://ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf", "http://www.ais.uni-bonn.de/theses/Nenad_Biresev_Master_Thesis_03_2012.pdf", "http://www.researchgate.net/profile/Sven_Behnke/publication/230556906_Semantic_Mapping_Using_Object-Class_Segmentation_of_RGB-D_Images/links/0912f5016a98439287000000.pdf", "https://pdfs.semanticscholar.org/06fc/643a48464fd8280d11c1189f49afacbd43a4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385983", "http://doi.org/10.1109/IROS.2012.6385983"]}, {"id": "7f5793c967d53d0a3e88e8bba895336b92d5da90", "title": "Dense interest features for video processing", "addresses": [{"name": "KU Leuven ESAT-PSI, iMinds", "source_name": "KU Leuven ESAT-PSI, iMinds", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86204180", "lng": "4.68589540", "type": "edu", "country": "Belgium"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026167", "http://doi.org/10.1109/ICIP.2014.7026167"]}, {"id": "fbb4f4959756798aabba8034cb3167756b191811", "title": "Supervised Infinite Feature Selection", "addresses": [{"name": "University of Guilan", "source_name": "University of Guilan, Rasht, Guilan, Iran", "street_adddress": "Rasht, Gilan Province, Iran", "lat": "37.19361670", "lng": "49.64096930", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02665.pdf"], "doi": []}, {"id": "f35953687697b3455fe89b1f07504daaa6ebf4c8", "title": "Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks", "addresses": [{"name": "Naval University of Engineering", "source_name": "Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China", "street_adddress": "717 Jiefang Ave, Qiaokou Qu, Wuhan Shi, Hubei Sheng, China, 430072", "lat": "30.57562020", "lng": "114.24262180", "type": "mil", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7946140", "http://doi.org/10.1109/LGRS.2017.2673118"]}, {"id": "193a69489230de1013dff9af1232e5379cc5282f", "title": "Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms", "addresses": [{"name": "Universitat Polit\u00e8cnica de Val\u00e8ncia", "source_name": "Integrated Management Coastal Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain", "street_adddress": "Cam\u00ed de Vera, s/n, 46022 Val\u00e8ncia, Valencia, Spain", "lat": "39.48083760", "lng": "-0.34095220", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/193a/69489230de1013dff9af1232e5379cc5282f.pdf"], "doi": []}, {"id": "744108530678ee667b9c1220933bed074794d9e2", "title": "A Scene Recognition and Semantic Analysis Approach to Unhealthy Sitting Posture Detection during Screen-Reading", "addresses": [{"name": "Nanchang University", "source_name": "Nanchang University, Nanchang, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.68352900", "lng": "115.93734700", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7441/08530678ee667b9c1220933bed074794d9e2.pdf"], "doi": []}, {"id": "225c318f3143b9b9d6c0f7a87672bd1d9d2901f4", "title": "2 D-Driven 3 D Object Detection in RGB-D Images", "addresses": [{"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/225c/318f3143b9b9d6c0f7a87672bd1d9d2901f4.pdf"], "doi": []}, {"id": "693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab", "title": "A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition", "addresses": [{"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": "Chinese Academy of Sciences, Shenzhen, China", "source_name": "Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "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"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/536b/d55a69a5f536fc4450ac4f482d47333b0270.pdf"], "doi": []}, {"id": "e726dd07b6b4e5369f3b6031b36f01cd45cfd645", "title": "Online Spatio-temporal Structural Context Learning for Visual Tracking", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3ef1/4559db209f8c399b76a51f1cef294c8136dc.pdf"], "doi": []}, {"id": "0bca0ca7bb642b747797c17a4899206116fb0b25", "title": "Color attributes for object detection", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248068"]}, {"id": "9906a396a67a1b19e98ae8d5d65ca604dfcbf727", "title": "Robust visual tracking based on L1 expanded template", "addresses": [{"name": "Bournemouth University", "source_name": "Bournemouth University", "street_adddress": "Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK", "lat": "50.74223495", "lng": "-1.89433739", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8108954", "http://doi.org/10.1109/ICMLC.2017.8108954"]}, {"id": "1622f0de2d24225ef6ea21003fa94d4a5836aac8", "title": "Deep Bottleneck Feature for Image Classification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2749314"]}, {"id": "2e9c4c12a2e18bd0cffbf5180e4475b773517250", "title": "A novel fuzzy feature encoding approach for image classification", "addresses": [{"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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7737815", "http://doi.org/10.1109/FUZZ-IEEE.2016.7737815"]}, {"id": "334a8aa8664637a74217aede4c368058640a8203", "title": "Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358901", "http://doi.org/10.1109/URAI.2015.7358901"]}, {"id": "e7895feb2de9007ea1e47b0ea5952afd5af08b3d", "title": "ME R-CNN: Multi-Expert R-CNN for Object Detection", "addresses": [{"name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "source_name": "U.S. Army Research Laboratory, Adelphi, MD, USA", "street_adddress": "2800 Powder Mill Rd, Adelphi, MD 20783, USA", "lat": "39.02985870", "lng": "-76.96380270", "type": "mil", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01069.pdf"], "doi": []}, {"id": "dc5e9f75235dcb4ec39259f82574cd6ffd3611de", "title": "Analysis of Multi-planar Probability Maps for People Localization in Overlapping Camera Systems", "addresses": [{"name": "UPMC, France", "source_name": "Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France", "street_adddress": "4 Place Jussieu, 75005 Paris, France", "lat": "48.84710360", "lng": "2.35749900", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2659031"]}, {"id": "f4901354f843b058bef649d14a9fc67c51943da8", "title": "Poster : Image Suitability for Graphical Passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Arizona State University", "source_name": "Arizona State University", "street_adddress": "Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f490/1354f843b058bef649d14a9fc67c51943da8.pdf"], "doi": []}, {"id": "5a0209515ab62e008efeca31f80fa0a97031cd9d", "title": "Dataset fingerprints: Exploring image collections through data mining", "addresses": [{"name": "Georgia Tech", "source_name": "Georgia Tech, Atlanta, GA, USA", "street_adddress": "North Ave NW, Atlanta, GA 30332, USA", "lat": "33.77561780", "lng": "-84.39628500", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_046_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf", "https://homes.cs.washington.edu/~krematas/Publications/rematasCVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299120", "http://doi.org/10.1109/CVPR.2015.7299120"]}, {"id": "68eb33c49b7cf7d5df056cf0113bd21bb2659151", "title": "What could move? Finding cars, pedestrians and bicyclists in 3D laser data", "addresses": [{"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://www.robots.ox.ac.uk/~mobile/Papers/2012ICRA_wang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224734", "http://doi.org/10.1109/ICRA.2012.6224734"]}, {"id": "c2a2093b4163616b83398e503ae9ed948f4f6a2b", "title": "A Dual-CNN Model for Multi-label Classification by Leveraging Co-occurrence Dependencies Between Labels", "addresses": [{"name": "University of Tasmania", "source_name": "Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia", "street_adddress": "Grosvenor St, Sandy Bay TAS 7005, Australia", "lat": "-42.90263100", "lng": "147.32733810", "type": "edu", "country": "Australia"}, {"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://mima.sdu.edu.cn/(X(1)S(ar3myg55nqom1l55ttix5kjj))/Images/publication/Dual-CNN-ML.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-77380-3_30"]}, {"id": "ed2ba6448db8cf945ca24d4df11916c2c5c3edd1", "title": "Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-018-9837-1"]}, {"id": "cd342fc28d8dcad80e090d2fdfd727a656201c6e", "title": "Algorithm Selection Platform in Real-World Intelligent Systems", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d  \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cd34/2fc28d8dcad80e090d2fdfd727a656201c6e.pdf"], "doi": []}, {"id": "bea1958ecdcc5279672bed0f2ba8de5a84b0ce64", "title": "Towards reasoning based representations: Deep Consistence Seeking Machine", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1389041717300256?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cogsys.2017.08.004"]}, {"id": "23453a37beea310b53419be45fe266bcf243ab49", "title": "Camera based target recognition for maritime awareness", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}, {"name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "source_name": "SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy", "street_adddress": "Piazza Monte Grappa, 4, 00195 Roma RM, Italy", "lat": "41.91852800", "lng": "12.46855900", "type": "company", "country": "Italy"}], "year": "2012", "pdf": ["http://fusion.isif.org/proceedings/fusion12CD/html/pdf/270_425.pdf", "http://www.dis.uniroma1.it/~bloisi/papers/bloisi-maritime-recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6290543", "http://ieeexplore.ieee.org/document/6290543/"]}, {"id": "28094e414200918e3b3fd0f7e5e3e9d29b092be4", "title": "Optimizing Image Acquisition Systems for Autonomous Driving", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2809/4e414200918e3b3fd0f7e5e3e9d29b092be4.pdf"], "doi": []}, {"id": "35159d9a4b77f5f8ec63f96822316eb4f7aacb1b", "title": "Training Deep Networks with Structured Layers by Matrix Backpropagation", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.07838.pdf"], "doi": []}, {"id": "18fe63c013983bea53be7d559ef36a1f385ca6ea", "title": "DR AF T Supervision Beyond Human Annotations for Learning Visual Representations", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/18fe/63c013983bea53be7d559ef36a1f385ca6ea.pdf"], "doi": []}, {"id": "5638516780883fa91827ed095fe2ace103a2f941", "title": "Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos", "addresses": [{"name": "University of Leeds", "source_name": "University of Leeds", "street_adddress": "University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK", "lat": "53.80387185", "lng": "-1.55245712", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025474", "http://doi.org/10.1109/ICIP.2014.7025474"]}, {"id": "5075c16908a72d506aa19e10e12e79ed9383db48", "title": "Lecture 16 : Recognizing Objects by Parts", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5075/c16908a72d506aa19e10e12e79ed9383db48.pdf"], "doi": []}, {"id": "c4ecc025ef8b0e3bb873bca4b504a76bd7d9dc8b", "title": "Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/c4ec/c025ef8b0e3bb873bca4b504a76bd7d9dc8b.pdf"], "doi": []}, {"id": "73883181800edffac983fb110233dd5a50a10c11", "title": "Region-based fully convolutional networks for vertical corner line detection", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8266465", "http://doi.org/10.1109/ISPACS.2017.8266465"]}, {"id": "06443cc014711e2e9cb6b8625362b022826d233e", "title": "Accident Forecasting in CCTV Traffic Camera Videos", "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": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05782.pdf"], "doi": []}, {"id": "d0b083befa0034bcd4a1349336fb30158157e6d8", "title": "A Semantic Distance Based Nearest Neighbor Method for Image Annotation", "addresses": [{"name": "Inner Mongolia University", "source_name": "College of Computer Science, Inner Mongolia University, Hohhot, China", "street_adddress": "Saihan, Hohhot, Inner Mongolia, China, 010000", "lat": "40.81426100", "lng": "111.68929800", "type": "edu", "country": "China"}, {"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d0b0/83befa0034bcd4a1349336fb30158157e6d8.pdf"], "doi": []}, {"id": "dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb", "title": "Improving Accuracy of the Edgebox Approach", "addresses": [{"name": "Utah State University", "source_name": "Utah State University", "street_adddress": "Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA", "lat": "41.74115040", "lng": "-111.81223090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dbed/fc2f75e3f821cb6a4b82ae85dc4f48ff1cbb.pdf"], "doi": []}, {"id": "0bbb40e5b9e546a3f4e7340b2980059065c99203", "title": "Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}, {"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00886.pdf"], "doi": []}, {"id": "f4c42c58c6649538c85b85b5357b29793798109b", "title": "Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection", "addresses": [{"name": "Roswell Park Cancer Institute, Buffalo, NY", "source_name": "Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA", "street_adddress": "665 Elm St, Buffalo, NY 14203, USA", "lat": "42.89881950", "lng": "-78.86458720", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7847313", "http://doi.org/10.1109/TMI.2017.2665671", "https://www.ncbi.nlm.nih.gov/pubmed/28186883", "https://www.wikidata.org/entity/Q38967536"]}, {"id": "23834ef411abf22da58d5bd1d9c1cb2896713f62", "title": "Learning Action Primitives for Multi-level Video Event Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2383/4ef411abf22da58d5bd1d9c1cb2896713f62.pdf"], "doi": []}, {"id": "48674565d0737bb422406d757c02042759b635ae", "title": "A benchmark for semantic image segmentation", "addresses": [{"name": "Danang University of Technology", "source_name": "Danang University of Technology, Vietnam", "street_adddress": "54 Nguy\u1ec5n L\u01b0\u01a1ng B\u1eb1ng, Ho\u00e0 Kh\u00e1nh B\u1eafc, Li\u00ean Chi\u1ec3u, \u0110\u00e0 N\u1eb5ng 550000, Vietnam", "lat": "16.07359750", "lng": "108.14994570", "type": "edu", "country": "Vietnam"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2013", "pdf": ["http://www.ntu.edu.sg/home/asjfcai/Benchmark_Website/368.pdf", "http://www3.ntu.edu.sg/home/asjfcai/ICME13_Hui_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607512", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607512", "http://doi.org/10.1109/ICME.2013.6607512"]}, {"id": "a1f33473ea3b8e98fee37e32ecbecabc379e07a0", "title": "Image Segmentation by Cascaded Region Agglomeration", "addresses": [{"name": "Toyota Technological Institute, Chicago", "source_name": "Toyota Technological Institute (Chicago, US", "street_adddress": "Toyota Technological Institute, 6045, South Kenwood Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA", "lat": "41.78471120", "lng": "-87.59260567", "type": "edu", "country": "United States"}, {"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": "2013", "pdf": ["http://cs.brown.edu/people/ren/publications/cvpr2013/cascade_final.pdf", "http://ttic.uchicago.edu/~gregory/papers/cascade_cvpr2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c011.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Image_Segmentation_by_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619106", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.262", "http://doi.org/10.1109/CVPR.2013.262"]}, {"id": "95785e3ce8cf0360ab328e5eae4cabff5b17308b", "title": "Multi-scale video text detection based on corner and stroke width verification", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706387", "http://doi.org/10.1109/VCIP.2013.6706387"]}, {"id": "128eff1cd06f74a9a7357d291f02dd627c9b22ad", "title": "Close-Range Human Detection for Head-Mounted Cameras", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/128e/ff1cd06f74a9a7357d291f02dd627c9b22ad.pdf"], "doi": []}, {"id": "7acd36ba0b59849d49bfc01cef11d18d2bcad76f", "title": "Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells.", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10804.pdf"], "doi": []}, {"id": "1a20ddce2349bc995dceea66cd2378f8888c8027", "title": "SAN: Learning Relationship Between Convolutional Features for Multi-scale Object Detection", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04974.pdf"], "doi": []}, {"id": "4e65c9f0a64b6a4333b12e2adc3861ad75aca83b", "title": "Image Classification Using Super-Vector Coding of Local Image Descriptors", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "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": "2010", "pdf": ["https://pdfs.semanticscholar.org/4e65/c9f0a64b6a4333b12e2adc3861ad75aca83b.pdf"], "doi": []}, {"id": "9a5516d8752202f5d6e542a983dc2e7fe59013e4", "title": "Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data", "addresses": [{"name": "Kookmin University", "source_name": "Kookmin University", "street_adddress": "\uad6d\ubbfc\ub300\ud559\uad50\uc55e, \uc815\ub989\ub85c, \uc815\ub9892\ub3d9, \uc815\ub989\ub3d9, \uc131\ubd81\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02708, \ub300\ud55c\ubbfc\uad6d", "lat": "37.61075540", "lng": "126.99466350", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622161", "http://doi.org/10.1109/BigData.2018.8622161"]}, {"id": "7888a3dc1b9a7516f940f4a3f4316584e4f41b35", "title": "Effects of target typicality on categorical search.", "addresses": [{"name": "Stony Brook University", "source_name": "Stony Brook University", "street_adddress": "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7888/a3dc1b9a7516f940f4a3f4316584e4f41b35.pdf"], "doi": []}, {"id": "dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f", "title": "Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dfd5/2ff9957c91dfbf3780ffffea2cc8ea6de81f.pdf"], "doi": []}, {"id": "7675774227157bec91218d6798680f58deaf8bb3", "title": "Learning View Priors for Single-view 3D Reconstruction.", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10719.pdf"], "doi": []}, {"id": "2385007824daaf9eac9476fccb1501b7ac166ceb", "title": "Task-driven Visual Saliency and Attention-based Visual Question Answering", "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/1702.06700.pdf"], "doi": []}, {"id": "c3d98891a2879b966bd90e0bb9299c3d2a91be6e", "title": "Webly-supervised visual concept learning with cardinality guided instance mining and clustered multitask refinement", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2017%5CConference%5C2017-ICME-CV-NISAIJIE%5C08019489.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019489", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019489", "http://doi.org/10.1109/ICME.2017.8019489"]}, {"id": "9f4078773c8ea3f37951bf617dbce1d4b3795839", "title": "Leveraging Inexpensive Supervision Signals for Visual Learning", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/9f40/78773c8ea3f37951bf617dbce1d4b3795839.pdf"], "doi": []}, {"id": "280895aa15bc8308f919d4cad666e826e82608f4", "title": "Curious George: An Integrated Visual Search Platform", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://www.cs.ubc.ca/labs/lci/curious_george/pubs/meger_srvc_crv_2010.pdf", "http://www.cs.ubc.ca/~little/links/linked-papers/megerCRV2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5479479", "http://doi.ieeecomputersociety.org/10.1109/CRV.2010.21", "http://doi.org/10.1109/CRV.2010.21"]}, {"id": "a7edb6726667875e3ebebe17065779be7cbf5623", "title": "Efficient Cross-Domain Image Retrieval by Multi-Level Matching and Spatial Verification for Structural Similarity", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2655032"]}, {"id": "3b4f6956aba3c0a8c444349868b2263d3124aa66", "title": "Seeded Laplacian: An interactive image segmentation approach using eigenfunctions", "addresses": [{"name": "Engineering Mathematics - Computer and Systems Engineering", "source_name": "Engineering Mathematics - Computer and Systems Engineering", "street_adddress": "110 8th St, Troy, NY 12180, USA", "lat": "42.72962060", "lng": "-73.68029310", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://ahmed-taha.com/wp-content/uploads/2015/09/icip2015_presentation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7350749", "http://doi.org/10.1109/ICIP.2015.7350749"]}, {"id": "0547c44cb896e1cc38130ae8cc6b04dc21179045", "title": "Fast-Match: Fast Affine Template Matching", "addresses": [{"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"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"}, {"name": "Weizmann Institute, Rehovot, Israel", "source_name": "Weizmann Institute, Rehovot, Israel", "street_adddress": "Weizmann Institute, Rehovot, Israel", "lat": "31.90418700", "lng": "34.80737800", "type": "edu", "country": "Israel"}, {"name": "Yahoo Research Labs, Haifa, Israel", "source_name": "Yahoo Research Labs, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.79404630", "lng": "34.98957100", "type": "company", "country": "Israel"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/FastMatch_cvpr_2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c331.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Korman_FasT-Match_Fast_Affine_2013_CVPR_paper.pdf", "http://www.eng.tau.ac.il/~simonk/FastMatch/FastMatch_net_construction.pdf", "http://www.eng.tau.ac.il/~simonk/publications/FastMatch_IJCV_2017.pdf"], "doi": ["http://doi.org/10.1007/s11263-016-0926-1", "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619146"]}, {"id": "788d2921dedf20464a09c1038a5c2f06d2ff54a7", "title": "Towards the Internet of Services: The THESEUS Research Program", "addresses": [{"name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "source_name": "Corporate Technology, Siemens AG, M\u00fcnchen, Germany", "street_adddress": "Otto-Hahn-Ring 6, 81739 M\u00fcnchen, Germany", "lat": "48.09159280", "lng": "11.64982970", "type": "company", "country": "Germany"}, {"name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH,  Saarbr\u00fccken, Germany", "source_name": "Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) GmbH,  Saarbr\u00fccken, Germany", "street_adddress": "Campus D3 2, 66123 Saarbr\u00fccken, Germany", "lat": "49.25681100", "lng": "7.04217100", "type": "edu", "country": "Germany"}, {"name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "source_name": "Empolis Information Management GmbH, Kaiserslautern, Germany", "street_adddress": "Europaallee 10, 67657 Kaiserslautern, Germany", "lat": "49.45618650", "lng": "7.80415990", "type": "edu", "country": "Belgium"}, {"name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "source_name": "Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany", "street_adddress": "Einsteinufer 37, 10587 Berlin, Germany", "lat": "52.51629000", "lng": "13.32500000", "type": "edu", "country": "Germany"}, {"name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "source_name": "Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany", "street_adddress": "Hasso-Plattner-Ring 7, 69190 Walldorf, Germany", "lat": "49.29446970", "lng": "8.63673580", "type": "edu", "country": "Turkey"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-06755-1"]}, {"id": "625c8f0309d4664a4594cb8a6d9116c22848f8c9", "title": "Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades", "addresses": [{"name": "Beijing University of Technology", "source_name": "Beijing University of Technology", "street_adddress": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "lat": "39.87391435", "lng": "116.47722285", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7091017", "http://doi.org/10.1109/TMM.2015.2425143"]}, {"id": "a04e5495fa71a459459ad92f7a4a447ffe4c373a", "title": "Learning to Segment Object Candidates via Recursive Neural Networks", "addresses": [{"name": "Guilin University of Electronic Technology", "source_name": "Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People\u2019s Republic of China", "street_adddress": "1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China", "lat": "25.28164000", "lng": "110.33730400", "type": "edu", "country": "China"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://export.arxiv.org/pdf/1612.01057"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418394", "http://doi.org/10.1109/TIP.2018.2859025", "https://www.ncbi.nlm.nih.gov/pubmed/30040644"]}, {"id": "393d34faf86df2c9d8246a7d6ba669133fe9207d", "title": "Visual tracking of a moving object via the soft cosine measure", "addresses": [{"name": "Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez", "source_name": "LIIAN Laboratory, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco", "street_adddress": "Fes 30050, Morocco", "lat": "34.03343710", "lng": "-4.97686630", "type": "edu", "country": "Morocco"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075521", "http://doi.org/10.1109/ATSIP.2017.8075521"]}, {"id": "a6b553a00e60cd1d33f91dc726fa0216728c20e9", "title": "Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea", "street_adddress": "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7384735", "http://doi.org/10.1109/TPAMI.2016.2519021", "https://www.ncbi.nlm.nih.gov/pubmed/26800528", "https://www.wikidata.org/entity/Q50538843"]}, {"id": "b3d8705d46a1d63b40a76bbcf8822b2e90b3b9ad", "title": "Efficient Labelling of Pedestrian Supervisions", "addresses": [{"name": "UCSI University", "source_name": "Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia", "street_adddress": "Persiaran Alam Damai, Alam Damai, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia", "lat": "3.07740920", "lng": "101.73212300", "type": "edu", "country": "Malaysia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b3d8/705d46a1d63b40a76bbcf8822b2e90b3b9ad.pdf"], "doi": []}, {"id": "59b21f61ac46e1f982cbd9f49cb855ba5fcd3c45", "title": "CCNY at TRECVID 2014 : Surveillance Event Detection", "addresses": [{"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8028/6720d33e63f470f43db4723a58bdc6d8b450.pdf"], "doi": []}, {"id": "d13c01d8218ddc744dffb040a8dce055ebd3000f", "title": "ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)", "addresses": [{"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": "Rochester University", "source_name": "Computer Science Depart., Rochester University, USA", "street_adddress": "Computer Studies Building, Intercampus Dr #734, Rochester, NY 14620, USA", "lat": "43.12504330", "lng": "-77.62978540", "type": "edu", "country": "United States"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "EIS, Huazhong Univ. Sci. and Tech., China", "source_name": "EIS, Huazhong Univ. Sci. and Tech., China", "street_adddress": "Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.50896400", "lng": "114.41057700", "type": "edu", "country": "China"}, {"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"}, {"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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546163", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546163", "http://doi.org/10.1109/ICPR.2018.8546163"]}, {"id": "64b9675e924974fdec78a7272b27c7e7ec63a608", "title": "Depth-aware object instance segmentation", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"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": ["http://www.cs.umanitoba.ca/~ywang/papers/icip17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296296", "http://doi.org/10.1109/ICIP.2017.8296296"]}, {"id": "8680cec120c3717c2178aafdf45186fd04d49875", "title": "Automatic graphic logo detection via Fast Region-based Convolutional Networks", "addresses": [{"name": "University of Coimbra", "source_name": "University of Coimbra", "street_adddress": "Reitoria da Universidade de Coimbra, Rua de Entre-Col\u00e9gios, Almedina, Alta, Almedina, S\u00e9 Nova, Santa Cruz, Almedina e S\u00e3o Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal", "lat": "40.20759510", "lng": "-8.42566148", "type": "edu", "country": "Portugal"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06083.pdf"], "doi": []}, {"id": "4980511ea7ac286b7fff0456216425287bc9a083", "title": "Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph", "addresses": [{"name": "University of Science and Technology Beijing", "source_name": "University of Science and Technology Beijing, 100083, China", "street_adddress": "30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083", "lat": "39.98945800", "lng": "116.35694500", "type": "edu", "country": "China"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4980/511ea7ac286b7fff0456216425287bc9a083.pdf"], "doi": []}, {"id": "ab5eb89bd154b43d1704657eb56d7ba5fc0d0138", "title": "Investigations of an \" Objectness \" Measure for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ab5e/b89bd154b43d1704657eb56d7ba5fc0d0138.pdf"], "doi": []}, {"id": "a609d96399ea52d4d1026b416f181581af0e6fbc", "title": "A random-forest random field approach for cellular image segmentation", "addresses": [{"name": "A*STAR, Singapore", "source_name": "Institute for Infocomm Research, A*STAR, Singapore", "street_adddress": "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868103", "http://doi.org/10.1109/ISBI.2014.6868103"]}, {"id": "d6d7dcdcf66fe83e49d175cd9d8ac0b507d0e9d8", "title": "Recovering Occlusion Boundaries from an Image", "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", "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": "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": "2010", "pdf": ["http://dhoiem.cs.illinois.edu/publications/ijcv2010_occlusion.pdf"], "doi": ["https://doi.org/10.1007/s11263-010-0400-4"]}, {"id": "32cda87d7e0c3ecd9cc6280c797b5c456cd79abd", "title": "Weakly supervised human body detection under arbitrary poses", "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": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/xiaoyang%20tan/conference/2016/CYWICIP-2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532427", "http://doi.org/10.1109/ICIP.2016.7532427"]}, {"id": "295bc82821cfde872a8c1baeec8594f3bdb94ae4", "title": "Structured Weak Semantic Space Construction for Visual Categorization", "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"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8008774", "http://doi.org/10.1109/TNNLS.2017.2728060", "https://www.ncbi.nlm.nih.gov/pubmed/28809716", "https://www.wikidata.org/entity/Q38372181"]}, {"id": "131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8", "title": "Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Graduate University of Chinese Academy of Sciences", "source_name": "Graduate University of Chinese Academy of Sciences", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "Hangzhou Normal University", "source_name": "Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China", "street_adddress": "Yuhang, Hangzhou, China", "lat": "30.28953200", "lng": "120.00988600", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677517", "http://doi.org/10.1109/TMM.2013.2293424", "http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2955&context=sis_research"]}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}, {"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": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1029-3"]}, {"id": "f832fdf1fac092b4140bf81d38e6bc6af5c1ea65", "title": "Instance-Level Human Parsing via Part Grouping Network", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00157.pdf"], "doi": []}, {"id": "83b2dc1b81e5dd420bc030a8d67b5ed36b5b0c5e", "title": "Supervised hierarchical Pitman-Yor process for natural scene segmentation", "addresses": [{"name": "ICSI, UC Berkeley", "source_name": "ICSI, UC Berkeley", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/shyr_etal_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995647", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995647", "http://doi.org/10.1109/CVPR.2011.5995647"]}, {"id": "3027c9d0659a89c3bbad1c7e31c474e8dd4f934d", "title": "Automatic Extraction of Built-Up Areas From Panchromatic and Multispectral Remote Sensing Images Using Double-Stream Deep Convolutional Neural Networks", "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": "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"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477097", "http://doi.org/10.1109/JSTARS.2018.2871046"]}, {"id": "4699af09d3d52f9a97d13f5690bcbf580959d3cf", "title": "YOLOv 3 : An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4699/af09d3d52f9a97d13f5690bcbf580959d3cf.pdf"], "doi": []}, {"id": "10f13579084670291019c6e8ef55f5cd35c926b6", "title": "Closed-Form Approximate CRF Training for Scalable Image Segmentation", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7088/0e0ba2478c7250918ee9b7accc6993d13ba4.pdf"], "doi": []}, {"id": "c14c2c3b9bbb3b232f601042fe9fde5fa450e595", "title": "Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge", "addresses": [{"name": "Autonomous University of Barcelona", "source_name": "Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01031.pdf"], "doi": []}, {"id": "19a3e5495b420c1f5da283bf39708a6e833a6cc5", "title": "Attributes and categories for generic instance search from one example", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_020_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tao_Attributes_and_Categories_2015_CVPR_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2015/TaoCVPR2015/TaoCVPR2015.pdf", "https://pure.uva.nl/ws/files/2571573/167606_TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015.pdf", "https://staff.fnwi.uva.nl/r.tao/pub/TaoCVPR2015_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298613", "http://doi.org/10.1109/CVPR.2015.7298613"]}, {"id": "b61ae8216a7c3a5a3202478cd6f18bf3014e2342", "title": "Robust Pedestrian Detection by Combining Visible and Thermal Infrared Cameras", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1f50/d437901304a20f17713bc4a1935f842c57fa.pdf"], "doi": []}, {"id": "c17b85fc95591573bc356650522d303f8d76aeb9", "title": "Robust Structural Sparse Tracking", "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 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": "2018", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami18_rsst.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267329", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2018.2797082", "http://doi.org/10.1109/TPAMI.2018.2797082", "https://www.ncbi.nlm.nih.gov/pubmed/29994599"]}, {"id": "922cd0026bd6e5cf60f901f080c8bdddeae72c1a", "title": "Deep CNN Ensemble with Data Augmentation for Object Detection", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07224.pdf"], "doi": []}, {"id": "8b9377ead9b05d0e5d86f7092ce5084841c146a4", "title": "Asking for Help with the Right Question by Predicting Human Visual Performance", "addresses": [{"name": "University of California, Santa Barbara", "source_name": "University of California, Santa Barbara", "street_adddress": "UCSB, Santa Barbara County, California, 93106, USA", "lat": "34.41459370", "lng": "-119.84581950", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ebbc/4569b767323c5bf6917c0efdce5d172e721d.pdf"], "doi": []}, {"id": "78611941ba25ea5e3d850a940c9e3a293798a08d", "title": "A Semi-Supervised Image Classification Model Based on Improved Ensemble Projection Algorithm", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8125090", "http://doi.org/10.1109/ACCESS.2017.2778881"]}, {"id": "579f0108283f119227de6a485069cda3c7945fa3", "title": "Deep neural networks can be improved using human-derived contextual expectations", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/579f/0108283f119227de6a485069cda3c7945fa3.pdf"], "doi": []}, {"id": "0e2af97f07625cb3cf5e30f1c9d807124cbbc850", "title": "From Large Scale Image Categorization to Entry-Level Categories", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://acberg.com/papers/naming_iccv2013.pdf", "http://cse.umich.edu/cse/awards/pdfs/naming_iccv2013.pdf", "http://web.missouri.edu/~hantx/ECE8001/Presentation_papers/From%20Large%20Scale%20Image%20Categorization%20to%20Entry-Level%20Categories.pdf", "http://www.cs.unc.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cs.virginia.edu/~vicente/files/entrylevel_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Ordonez_From_Large_Scale_2013_ICCV_paper.pdf", "http://www.tamaraberg.com/papers/entrylevel.pdf", "https://web.cs.hacettepe.edu.tr/~nazli/courses/bil722/slides/week8_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751455", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.344", "http://doi.org/10.1109/ICCV.2013.344"]}, {"id": "09ae02eb0359363134a7a5ca912ea60769b07031", "title": "A Smoother Way to Train Structured Prediction Models", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1902.03228.pdf"], "doi": []}, {"id": "6c289ce7cd1c8514f71bf7dc25b1b203b98f8129", "title": "Semantic-Aware Image Smoothing", "addresses": [{"name": "Heidelberg University", "source_name": "Institute of Psychology, Heidelberg University, Heidelberg, Germany", "street_adddress": "Hauptstra\u00dfe 47-51, 69117 Heidelberg, Germany", "lat": "49.41092660", "lng": "8.69795290", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c28/9ce7cd1c8514f71bf7dc25b1b203b98f8129.pdf"], "doi": []}, {"id": "8587d26cbcff3e86b5acff0467e10c8f2069f4e7", "title": "FigureSeer: Parsing Result-Figures in Research Papers", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8587/d26cbcff3e86b5acff0467e10c8f2069f4e7.pdf"], "doi": []}, {"id": "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "title": "Tabula rasa: Model transfer for object category detection", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://cs.brown.edu/~ls/teaching_CMU_16-824/slides_tz-1.pdf", "http://eprints.pascal-network.org/archive/00008313/01/aytar11.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/elad-paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/aytar11.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126504", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126504", "http://doi.org/10.1109/ICCV.2011.6126504"]}, {"id": "c43c6fd93f1d171487ac2d35d4744199db69f244", "title": "Use of convolutional neural networks to automate the detection of wildlife from remote cameras", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7274594"]}, {"id": "848db2f0758c314ddbc0bc4030633501df3a9276", "title": "TextMountain: Accurate Scene Text Detection via Instance Segmentation", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12786.pdf"], "doi": []}, {"id": "2c149eff297ffe7d762fd453571fb7cb1761d7a5", "title": "In Defence of Negative Mining for Annotating Weakly Labelled Data", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2c14/9eff297ffe7d762fd453571fb7cb1761d7a5.pdf"], "doi": []}, {"id": "2b0d2b5a536e2eaa6a1cdab6f1e8d11f602abdab", "title": "Annotating images with suggestions: user study of a tagging system", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://www.fit.vutbr.cz/research/view_pub.php?file=/pub/9990/HRADIS-ACIVS-2012.pdf&id=9990", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-33140-4_14"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_14"]}, {"id": "c8e1d80dc02d6b51eec0cd6be46da16b304c3e0d", "title": "Water region detection supporting ship identification in port surveillance", "addresses": [{"name": "ViNotion B.V., Eindhoven, The Netherlands", "source_name": "ViNotion B.V., Eindhoven, The Netherlands", "street_adddress": "Daalakkersweg 2-58, 5641 JA Eindhoven, Netherlands", "lat": "51.44683540", "lng": "5.52236030", "type": "edu", "country": "Netherlands"}, {"name": "TU Eindhoven", "source_name": "TU Eindhoven", "street_adddress": "Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland", "lat": "51.44866020", "lng": "5.49039957", "type": "edu", "country": "Netherlands"}], "year": "2012", "pdf": ["http://vca.ele.tue.nl/publications/data/XBao2012b.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33140-4_39"]}, {"id": "f72f6a45ee240cc99296a287ff725aaa7e7ebb35", "title": "Pedestrian Detection: An Evaluation of the State of the Art", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "MPI Informatics, Saabrucken", "source_name": "MPI Informatics, Saabrucken", "street_adddress": "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "lat": "49.25786570", "lng": "7.04579560", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5975165"]}, {"id": "3b5787604b619c273bf98232b0bd3bce5d4a34ee", "title": "Learning Discriminative Hidden Structural Parts for Visual Tracking", "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": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop12/pdffiles/w12-o4.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-16634-6_20"]}, {"id": "3bb1c6290b208cda17f1142215c952e40761769d", "title": "Fast and accurate object detection in high resolution 4K and 8K video using GPUs", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10551.pdf"], "doi": []}, {"id": "087337fdad69caaab8ebd8ae68a731c5bf2e8b14", "title": "Fully Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4038.pdf"], "doi": []}, {"id": "bcd5412df9e3418ecedba9b95ab1d6ab506b5665", "title": "High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits", "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/1704.02205.pdf"], "doi": []}, {"id": "4aa286914f17cd8cefa0320e41800a99c142a1cd", "title": "Leveraging Context to Support Automated Food Recognition in Restaurants", "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": "2015", "pdf": ["https://arxiv.org/pdf/1510.02078.pdf"], "doi": []}, {"id": "eea9994c71831219aacd537f5f4ab8a91110a7e2", "title": "Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08707.pdf"], "doi": []}, {"id": "20b038c50cc7148dfb364e2de51cde120c907c9f", "title": "Integrated perception with recurrent multi-task neural networks", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01735.pdf"], "doi": []}, {"id": "bb1625e1955e9453221244b755539929ca86b4a3", "title": "Data Decomposition and Spatial Mixture Modeling for Part Based Model", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/bb16/25e1955e9453221244b755539929ca86b4a3.pdf"], "doi": []}, {"id": "d11ba0deeefda19ff30c4b532aa1a85fc07389c7", "title": "An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6891238", "http://doi.org/10.1109/TCYB.2014.2350517", "https://www.ncbi.nlm.nih.gov/pubmed/25204006", "https://www.wikidata.org/entity/Q38423944"]}, {"id": "732cfdb92061c660ce55743b07bdad6657c4aa5b", "title": "LifeCLEF: Multimedia life species identification", "addresses": [{"name": "INRIA, France", "source_name": "INRIA, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/732c/fdb92061c660ce55743b07bdad6657c4aa5b.pdf"], "doi": []}, {"id": "205e895e03969c96f3c482b0bd26308b16a12bd0", "title": "Image Captioning with an Intermediate Attributes Layer", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/205e/895e03969c96f3c482b0bd26308b16a12bd0.pdf"], "doi": []}, {"id": "6826ae2e1598be376f5b64f302172bebc57b64cb", "title": "Foreground Object Segmentation with Objectness Measure", "addresses": [{"name": "Guangzhou, China", "source_name": "Guangzhou, China", "street_adddress": "Guangzhou, Guangdong, China", "lat": "23.12911000", "lng": "113.26438500", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6826/ae2e1598be376f5b64f302172bebc57b64cb.pdf"], "doi": []}, {"id": "dc5fc803b64b49217babab378efe29f35b697d2f", "title": "Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"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"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11390-017-1752-9"]}, {"id": "be99cefefa264f6070f56f1fe4c07151e360ff3a", "title": "A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/be99/cefefa264f6070f56f1fe4c07151e360ff3a.pdf"], "doi": []}, {"id": "d3edc100c6577abba414f6c0a16e4c3921e68bff", "title": "Visual Turing test for computer vision systems.", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/050d/a5d159fb0dd96143948e1cffeb3dec814673.pdf"], "doi": []}, {"id": "39a0c15fbd6c6b3f9e6ceb51098e60d5dfaa11fe", "title": "Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Kingston University", "source_name": "Kingston University", "street_adddress": "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3744.pdf"], "doi": []}, {"id": "fdfd57d4721174eba288e501c0c120ad076cdca8", "title": "An Analysis of Action Recognition Datasets for Language and Vision Tasks", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07129.pdf"], "doi": []}, {"id": "ee42895807a375adec78c8221ecfcba01b0cb7ce", "title": "Deep TEN: Texture Encoding Network", "addresses": [{"name": "Rutgers University", "source_name": "Rutgers University", "street_adddress": "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02844.pdf"], "doi": []}, {"id": "0f0a5d8a7a087204026a6b67000887dbf5b6a20f", "title": "Generating objects going well with the surroundings", "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/1807.02925.pdf"], "doi": []}, {"id": "0585a2f480e9fed934e415bee8e03e5e13abf035", "title": "A Novel Linelet-Based Representation for Line Segment Detection", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}, {"name": "John Hopkins University", "source_name": "John Hopkins University, Baltimore, MD", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://www.cs.jhu.edu/~alanlab/Pubs17/cho2017novel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926451", "http://doi.org/10.1109/TPAMI.2017.2703841", "https://www.ncbi.nlm.nih.gov/pubmed/28504933", "https://www.wikidata.org/entity/Q40469583"]}, {"id": "5eee4151201258ca75202057baf00a9774ccef38", "title": "DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments", "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": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593691"]}, {"id": "27f0757c5896f81ef6e13d5284252dcc1174a0ff", "title": "The Impact of Human\u2013Robot Interfaces on the Learning of Visual Objects", "addresses": [{"name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech", "source_name": "Ecole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es ParisTech, 91762 Palaiseau, France", "street_adddress": "828 Boulevard des Mar\u00e9chaux, 91120 Palaiseau, France", "lat": "48.71073390", "lng": "2.21805010", "type": "edu", "country": "France"}, {"name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech", "source_name": "FLOWing Epigenetic Robots and Systems Research Team, INRIA and Ensta-ParisTech, 33405 Talence, France", "street_adddress": "Institut National de Recherche en Informatique et en Automatique, 54600 Villers-l\u00e8s-Nancy, France", "lat": "48.66544710", "lng": "6.15702390", "type": "edu", "country": "France"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6384810"]}, {"id": "0a8dad1cb9004ccf45611fe4d2652a82cd5326df", "title": "Do More Dropouts in Pool5 Feature Maps for Better Object Detection", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.6911.pdf"], "doi": []}, {"id": "b6946370d6c13d562b96e42d494817c7d1969a8f", "title": "Refining Bounding-Box Regression for Object Localization", "addresses": [{"name": "Portland State University", "source_name": "Portland State University", "street_adddress": "Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA", "lat": "45.51181205", "lng": "-122.68492999", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b694/6370d6c13d562b96e42d494817c7d1969a8f.pdf"], "doi": []}, {"id": "6f7de9849be93eff1c5f133defd9d70e5ff437ac", "title": "AttentionNet: Aggregating Weak Directions for Accurate Object Detection", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.07704.pdf"], "doi": []}, {"id": "6bb19408458dbae075be7f1612b969b565b4767a", "title": "Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Minh_Approximate_Log-Hilbert-Schmidt_Distances_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780930", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.561", "http://doi.org/10.1109/CVPR.2016.561"]}, {"id": "a73c551da8d69f04e2be7c3f5c7125532e194935", "title": "A Research and Strategy of Objection Detection on Remote Sensing Image", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477209", "http://doi.ieeecomputersociety.org/10.1109/SERA.2018.8477209", "http://doi.org/10.1109/SERA.2018.8477209"]}, {"id": "8d2459ada191d496eeee70f1e817d0ba92075160", "title": "The evaluation of different approaches towards using Kinect sensor as a Laser scanner", "addresses": [{"name": "University of Gothenburg", "source_name": "University of Gothenburg, Gothenburg, Sweden", "street_adddress": "405 30 Gothenburg, Sweden", "lat": "57.69817190", "lng": "11.97187800", "type": "edu", "country": "Sweden"}, {"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8d24/59ada191d496eeee70f1e817d0ba92075160.pdf"], "doi": []}, {"id": "09dace372d15fa3381ade36f5cf892b5ce15a982", "title": "Efficient human computation: the distributed labeling problem", "addresses": [{"name": "Intel Israel, Haifa, Israel", "source_name": "Intel Israel, Haifa, Israel", "street_adddress": "Haifa, Israel", "lat": "32.78981240", "lng": "34.96096980", "type": "edu", "country": "Israel"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1600174"]}, {"id": "9cbd49a55724da2249ac1810b9e6d31f5d41a4ac", "title": "Viewpoint-aware object detection and continuous pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://www.weizmann.ac.il/math/meirav/sites/math.meirav/files/uploads/viewpoint_aware_object_detection.pdf", "http://www.wisdom.weizmann.ac.il/~vision/viewpoint-aware/files/GGABS12.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2012.09.006"]}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "addresses": [{"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"], "doi": []}, {"id": "44a3ee0429a6d1b79d431b4d396962175c28ace6", "title": "Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers", "addresses": [{"name": "NEC", "source_name": "NEC Laboratories America, Inc., Cupertino, CA, USA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.nec-labs.com/uploads/images/Department-Images/MediaAnalytics/papers/cvpr16_scaledependentpooling.pdf", "http://www.umiacs.umd.edu/~fyang/papers/cvpr16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780603", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.234", "http://doi.org/10.1109/CVPR.2016.234"]}, {"id": "741637b8b6e4fdd30cb40b3881f29c3377eb4749", "title": "Figure-Ground Segmentation - Object-Based", "addresses": [{"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": [], "doi": ["http://doi.org/10.1007/978-0-85729-997-0_4"]}, {"id": "55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1", "title": "Are we ready for autonomous driving? The KITTI vision benchmark suite", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2012", "pdf": ["http://ttic.uchicago.edu/~rurtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.3dgi.ch/mm2013/images/MM2013%20-%20Lenz%20-%20AreWeReadyForAutonomousDriving-TheKittiVisionBenchmarkSuite.pdf", "http://www.cs.toronto.edu/~urtasun/publications/geiger_et_al_cvpr12.pdf", "http://www.cvlibs.net/publications/Geiger2012CVPR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248074", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248074", "http://doi.org/10.1109/CVPR.2012.6248074"]}, {"id": "8047586d2223f3076a1fc028197f54d0997bccfc", "title": "Pelee: A Real-Time Object Detection System on Mobile Devices", "addresses": [{"name": "University of Western Ontario", "source_name": "University of Western Ontario, London, ON, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06882.pdf"], "doi": []}, {"id": "51a162f6d21e48c3731aec8f676ba7c18c65bd26", "title": "From trajectories to behaviors : an algorithm to track and describe dancing birds", "addresses": [{"name": "University of Salerno", "source_name": "Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy", "street_adddress": "Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy", "lat": "40.76871180", "lng": "14.79201790", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/51a1/62f6d21e48c3731aec8f676ba7c18c65bd26.pdf"], "doi": []}, {"id": "b1045a2de35d0adf784353f90972118bc1162f8d", "title": "Quantifying and Transferring Contextual Information in Object Detection", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"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": "2012", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Quantifying%20and%20Transferring%20Contextual%20Information%20in%20Object%20Detection.pdf", "http://www.eecs.qmul.ac.uk/~sgg/papers/ZhengGongXiang_PAMI2011.pdf", "http://www.eecs.qmul.ac.uk/~txiang/publications/ZhengGongXiang_PAMI2011.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/2539/ZHENGQuantifyingand2012POST.pdf?sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989823", "http://doi.org/10.1109/TPAMI.2011.164", "https://www.ncbi.nlm.nih.gov/pubmed/21844619", "https://www.wikidata.org/entity/Q45327033"]}, {"id": "58b99c3d5a0d3d1b567ae5c1d963abecc4d72d70", "title": "Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video", "addresses": [{"name": "University of East Anglia", "source_name": "University of East Anglia", "street_adddress": "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "lat": "52.62215710", "lng": "1.24091360", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/847e/cfa4dcd1a397144d24dfc49fcb05ffeff17c.pdf"], "doi": []}, {"id": "9eadb634ec92c7ae7335ac8eb85ef05bd77dd9c6", "title": "Histograms of locally aggregated oriented gradients", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351004", "http://doi.org/10.1109/ICIP.2015.7351004"]}, {"id": "f8599ad5332cdf2c9919988ba300bb4b438b5834", "title": "Transitive Invariance for Self-Supervised Visual Representation Learning", "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": "2017", "pdf": ["https://arxiv.org/pdf/1708.02901.pdf"], "doi": []}, {"id": "006a4d9a06ee8d36bbc9187b2015c206c80a8aff", "title": "Spectral GeometricMethods for Deformable 3 D Shape Retrieval", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/006a/4d9a06ee8d36bbc9187b2015c206c80a8aff.pdf"], "doi": []}, {"id": "49d83e2fc70dc00130ac9eacab498a96abaa0300", "title": "Advances in Multimedia Information Processing \u2013 PCM 2018", "addresses": [{"name": "City University of Hong Kong", "source_name": "City University of Hong Kong", "street_adddress": "\u9999\u6e2f\u57ce\u5e02\u5927\u5b78 City University of Hong Kong, \u9054\u5eb7\u8def Tat Hong Avenue, \u5927\u7aa9\u576a Tai Wo Ping, \u6df1\u6c34\u57d7\u5340 Sham Shui Po District, \u4e5d\u9f8d Kowloon, HK, KIL 3348, \u4e2d\u56fd", "lat": "22.34000115", "lng": "114.16970291", "type": "edu", "country": "China"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-030-00776-8"]}, {"id": "9ff973fe3f2541712b7a5f413ad0c32b03e710a4", "title": "Discovering Object Classes from Activities", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9ff9/73fe3f2541712b7a5f413ad0c32b03e710a4.pdf"], "doi": []}, {"id": "f334b6abbab88dcf562be2de4d7fe16f15997cf5", "title": "Fast Image-Based Geometric Change Detection Given a 3D Model", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461019", "http://doi.org/10.1109/ICRA.2018.8461019"]}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": [], "doi": []}, {"id": "7fdab95ff454a900c710f464c1129cd173059912", "title": "Pattern Recognition and Image Analysis", "addresses": [{"name": "INESC and University of Porto", "source_name": "INESC and University of Porto, Porto, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "source_name": "Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Portugal", "street_adddress": "Portugal, R. Dr. Roberto Frias, Porto, Portugal", "lat": "41.17942920", "lng": "-8.59540700", "type": "edu", "country": "Portugal"}, {"name": "University of Alicante", "source_name": "University of Alicante, Alicante, Spain", "street_adddress": "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "lat": "38.38524460", "lng": "-0.51431610", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-642-38628-2", "https://www.wikidata.org/entity/Q57715006"]}, {"id": "8ec2485e616c935aa82645783096abcd25547cae", "title": "Accurate small object detection via density map aided saliency estimation", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296316", "http://doi.org/10.1109/ICIP.2017.8296316"]}, {"id": "072b298bdb1f4330fbab7c43e5d5e74f2bac6dac", "title": "Audio-visual grouplet: temporal audio-visual interactions for general video concept classification", "addresses": [{"name": "Eastman Kodak", "source_name": "Eastman Kodak Company, Rochester, NY, USA", "street_adddress": "343 State St, Rochester, NY 14650, USA", "lat": "43.16080570", "lng": "-77.61967110", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2072316"]}, {"id": "b28ae44e3a69f8f822230bdc5fdcad0633eaf26f", "title": "KidPen: a stroke-based method for kid-style sketches synthesis from photos", "addresses": [{"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3149434"]}, {"id": "e87ea5fa265eadb7f68f8f06beabfb056e06579a", "title": "Improving Fully Convolution Network for Semantic Segmentation", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08986.pdf"], "doi": []}, {"id": "bfea962697e9b445b89a865b465ae967dd55b4fe", "title": "Efficient object detection via structured learning and local classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bfea/962697e9b445b89a865b465ae967dd55b4fe.pdf"], "doi": []}, {"id": "3d2bf56bf8efb0459c0303526436ac320d237b13", "title": "Objectness estimation using edges", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351584", "http://doi.org/10.1109/ICIP.2015.7351584"]}, {"id": "0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e", "title": "Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.00609.pdf"], "doi": []}, {"id": "2f0486b7770c0a8d9cd37e0d73ea3495562511f3", "title": "Extreme Clicking for Efficient Object Annotation", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02750.pdf"], "doi": []}, {"id": "5cc22f65bf4e5c0aa61f3139da832d3a946e15cf", "title": "Path Aggregation Network for Instance Segmentation", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"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": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.01534.pdf"], "doi": []}, {"id": "b54200cc65046e1d29329bded3eaa741f45063e4", "title": "Learning Deep Representations and Detection of Docking Stations Using Underwater Imaging", "addresses": [{"name": "RIKEN Center for AIP, Tokyo, Japan", "source_name": "RIKEN Center for AIP, Tokyo, Japan", "street_adddress": "Japan, \u3012103-0027 Tokyo, Ch\u016b\u014d, Nihonbashi, 1 Chome\u22124\u2212\uff11 \u65e5\u672c\u6a4b\u4e00\u4e01\u76ee\u4e09\u4e95\u30d3\u30eb\u30c7\u30a3\u30f3\u30b0 15\u968e", "lat": "35.68253370", "lng": "139.77463210", "type": "edu", "country": "Japan"}, {"name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "source_name": "Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China", "street_adddress": "Shenyang, Liaoning, China", "lat": "41.80569900", "lng": "123.43147200", "type": "edu", "country": "China"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559067"]}, {"id": "ee098ed493af3abe873ce89354599e1f6bdf65be", "title": "Progressively Diffused Networks for Semantic Image Segmentation", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05839.pdf"], "doi": []}, {"id": "0c77f42e8d530b542a534087b24dd8a21e8781cf", "title": "Source ( synthetic ) Target ( real ) feature dimension 1 feature dim ension", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0c77/f42e8d530b542a534087b24dd8a21e8781cf.pdf"], "doi": []}, {"id": "e64fa00da02cc774559db5be88bc2862afbfd432", "title": "Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor", "addresses": [{"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e64f/a00da02cc774559db5be88bc2862afbfd432.pdf"], "doi": []}, {"id": "0faeec0d1c51623a511adb779dabb1e721a6309b", "title": "Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "SUNY Buffalo", "source_name": "SUNY Buffalo", "street_adddress": "SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA", "lat": "42.93362780", "lng": "-78.88394479", "type": "edu", "country": "United States"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of California at Los Angeles", "source_name": "University of California at Los Angeles, Los Angeles, CA", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "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"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "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"}, {"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "National University of Ireland Maynooth", "source_name": "National University of Ireland Maynooth", "street_adddress": "National University of Ireland Maynooth, River Apartments, Maynooth, Maynooth ED, Maynooth Municipal District, County Kildare, Leinster, KILDARE, Ireland", "lat": "53.38469750", "lng": "-6.60039458", "type": "edu", "country": "Ireland"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc33/f15900ad4f11f79f5af849449bd244103427.pdf"], "doi": []}, {"id": "719969807953d7ea8bda0397b1aadbaa6e205718", "title": "Automatic Dataset Augmentation", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08201.pdf"], "doi": []}, {"id": "5ca467072ec40acb1b6bbf59f1119300741c0aba", "title": "Content-Based Photo Quality Assessment", "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": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/cvpr11_WLuo_XWang_XTang.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/luoWTiccv11.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/tangLWtmm13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6544270", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126498", "http://doi.org/10.1109/ICCV.2011.6126498", "https://doi.org/10.1109/TMM.2013.2269899"]}, {"id": "c4fc07072d7ebfbca471d2394b20199d8107e517", "title": "Active Mask Hierarchies for Object Detection", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c4fc/07072d7ebfbca471d2394b20199d8107e517.pdf"], "doi": []}, {"id": "8ff7743abd160763dcd12c8404d65477339a0e81", "title": "Fine-Grained Categorization for 3D Scene Understanding", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8ff7/743abd160763dcd12c8404d65477339a0e81.pdf"], "doi": []}, {"id": "ffc2f8c1bf568b913427d1702d75306311df3d5b", "title": "Orientation robust object detection in aerial images using deep convolutional neural network", "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": "2015", "pdf": ["http://www.ucassdl.cn/publication/zhg_ICIP2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351502", "http://doi.org/10.1109/ICIP.2015.7351502"]}, {"id": "a05b7a206c86b3928746cce935f6f85d534a43cd", "title": "Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning", "addresses": [{"name": "Shandong University of Traditional Chinese Medicine", "source_name": "College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China", "street_adddress": "China, Shandong, Jinan, Lixia, \u7ecf\u5341\u8def16369", "lat": "36.65015600", "lng": "117.04613800", "type": "edu", "country": "China"}, {"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}, {"name": "Digital Image Group (DIG), London, Canada", "source_name": "Digital Image Group (DIG), London, Canada", "street_adddress": "London, ON, Canada", "lat": "42.98492330", "lng": "-81.24527680", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["http://www.digitalimaginggroup.ca/members/Shuo/PathogenesisSpine.pdf"], "doi": ["http://doi.org/10.1007/s12021-018-9365-1", "https://www.ncbi.nlm.nih.gov/pubmed/29450848", "https://www.wikidata.org/entity/Q49946900"]}, {"id": "50612493253f5cea7ecf406e9a8d75382b96a83e", "title": "How do humans sketch objects?", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "TU Berlin", "source_name": "TU Berlin", "street_adddress": "Franklinstra\u00dfe 28-29, 10587 Berlin, Germany", "lat": "52.51806410", "lng": "13.32504250", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2185540"]}, {"id": "35f345ebe3831e4741dcdc1931da59043acf4b83", "title": "Towards High Performance Video Object Detection for Mobiles 3 2 Revisiting Video Object Detection Baseline", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/35f3/45ebe3831e4741dcdc1931da59043acf4b83.pdf"], "doi": []}, {"id": "051000dd99635b74862b4b33f6dd84aca34f7471", "title": "An Encoder-Decoder Based Convolution Neural Network ( CNN ) for Future Advanced Driver Assistance System ( ADAS )", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0510/00dd99635b74862b4b33f6dd84aca34f7471.pdf"], "doi": []}, {"id": "5e99aeae07c8f599ab2251a1f62703d0380d1e14", "title": "Dictionary learning for a sparse appearance model in visual tracking", "addresses": [{"name": "\u00c9cole Centrale de Lille, CRIStAL, UMR CNRS 9189", "source_name": "École Centrale de Lille, CRIStAL, UMR CNRS 9189", "street_adddress": "42 Rue Paul Duez, 59000 Lille, France", "lat": "50.63165620", "lng": "3.07520350", "type": "edu", "country": "France"}, {"name": "Institut Mines-Telecom / Telecom Lille", "source_name": "Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France", "street_adddress": "Universit\u00e9 Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France", "lat": "50.60971560", "lng": "3.13728330", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351659", "http://doi.org/10.1109/ICIP.2015.7351659", "https://hal.archives-ouvertes.fr/hal-01211263/document"]}, {"id": "14a3194bb454f1f2e3fc1452045ac18c69959368", "title": "Fast Object Detection Using Multistage Particle Window Deformable Part Model", "addresses": [{"name": "National Chung Cheng University", "source_name": "National Chung Cheng University", "street_adddress": "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "lat": "23.56306355", "lng": "120.47510531", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://www.cs.ccu.edu.tw/~wtchu/papers/2014ISM-chu.pdf", "https://pdfs.semanticscholar.org/14a3/194bb454f1f2e3fc1452045ac18c69959368.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7033002", "http://doi.ieeecomputersociety.org/10.1109/ISM.2014.23", "http://doi.org/10.1109/ISM.2014.23"]}, {"id": "9f879c8eed15d0c54ee86d0fb3de1e83a87d282d", "title": "A new two-stage object detection network without RoI-Pooling", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407398"]}, {"id": "e6cd10c6de16ae2fba499762f2d6242990e1d35c", "title": "Improved Person Detection on Omnidirectional Images with Non-maxima Supression.", "addresses": [{"name": "Chemnitz University of Technology", "source_name": "Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany", "street_adddress": "Reichenhainer Str. 70, 09126 Chemnitz, Germany", "lat": "50.81507300", "lng": "12.92558600", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08503.pdf"], "doi": []}, {"id": "0c2cb193274217855000c98a02488885571b55bc", "title": "TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis", "addresses": [{"name": "New York University", "source_name": "New York University", "street_adddress": "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72925325", "lng": "-73.99625394", "type": "edu", "country": "United States"}, {"name": "Chongqing University of Technology", "source_name": "Chongqing University of Technology, China", "street_adddress": "69 Hongguang Ave, Banan Qu, Chongqing Shi, China", "lat": "29.45832600", "lng": "106.52994700", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.01466.pdf"], "doi": []}, {"id": "55f80ddcb49dbb45c4fc9d42da006580bd6690b5", "title": "GRANet: Global Refinement Atrous Convolutional Neural Network for Semantic Scene Segmentation", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451636"]}, {"id": "95f4b88d4b0a725d786b34558b60af47f5442230", "title": "Reconfigurable Processor for Deep Learning in Autonomous Vehicles", "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": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/381e/7525bc8b9d47ae0343e471f5f1d5e6963bbe.pdf"], "doi": []}, {"id": "56c24b33d9efd05effe8afcbfa68fe27b5738cc2", "title": "Regularized Geometric Hulls for Bio-medical Image Segmentation", "addresses": [{"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/56c2/4b33d9efd05effe8afcbfa68fe27b5738cc2.pdf"], "doi": []}, {"id": "7653af14cf2b220da07252df585c443985ea9f8b", "title": "Human Detection Based on the Generation of a Background Image by Using a Far-Infrared Light Camera", "addresses": [{"name": "Dongguk University", "source_name": "Dongguk University, Gyeongbuk, Korea", "street_adddress": "Seokjang-dong, Gyeongju-si, Gyeongsangbuk-do, South Korea", "lat": "35.86180500", "lng": "129.19353200", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7653/af14cf2b220da07252df585c443985ea9f8b.pdf"], "doi": []}, {"id": "0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9", "title": "A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "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": ["https://arxiv.org/pdf/1808.02595.pdf"], "doi": []}, {"id": "15ec23ae3007c8474149777e6f3d9974dd392fb5", "title": "Novel line verification for multiple instance focused retrieval in document collections", "addresses": [{"name": "Universidad Aut\u00f2noma de Barcelona, Spain", "source_name": "Computer Vision Center, Univ. Aut\u00f2noma de Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of 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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333808"]}, {"id": "56e28ea9eb8e92e199f35af6f6c348df2b19429c", "title": "An experimental comparison of online object-tracking algorithms", "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": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/spie11a.pdf"], "doi": ["https://doi.org/10.1117/12.895965"]}, {"id": "02f90eb252ab3bdab420690570b16effdee53b3f", "title": "Unsupervised Object Discovery and Segmentation in Videos", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/schulter_bmvc_13.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/abstract0053.pdf", "http://www.bmva.org/bmvc/2013/Papers/paper0053/paper0053.pdf"], "doi": ["http://doi.org/10.5244/C.27.53"]}, {"id": "2a7e02ebdb7622815dbce8cf227189e2c92d026c", "title": "Zero-Shot Object Detection by Hybrid Region Embedding", "addresses": [{"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"}, {"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"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06157.pdf"], "doi": []}, {"id": "d1580e818932ba23b38784b48d3e472ec91cd746", "title": "Decomposed human localization in personal photo albums", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "Hunan University of Humanities", "source_name": "Hunan University of Humanities, Science and Technology, China", "street_adddress": "China, Hunan Sheng, Loudi Shi, Louxing Qu, \u80b2\u624d\u8def \u90ae\u653f\u7f16\u7801: 417000", "lat": "27.71232800", "lng": "112.00637300", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706345", "http://doi.org/10.1109/VCIP.2013.6706345"]}, {"id": "6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d", "title": "Multi-omnidirectional cameras for ambient intelligence", "addresses": [{"name": "Bo\u011fazi\u00e7i \u00dcniversitesi", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, 34342 Bebek, \u0130stanbul, Turkey", "street_adddress": "Bebek Mh., 34342 Be\u015fikta\u015f/\u0130stanbul, Turkey", "lat": "41.08475710", "lng": "29.05103990", "type": "edu", "country": "Turkey"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204823", "http://doi.org/10.1109/SIU.2012.6204823"]}, {"id": "fe1f382184505cdd9c8857119b95974b8396c3d9", "title": "Joint learning dictionary and discriminative features for high dimensional data", "addresses": [{"name": "Technische Universit\u00e4t M\u00fcnchen", "source_name": "Technische Universit\u00e4t M\u00fcnchen, 85748 Garching bei M\u00fcnchen, Germany", "street_adddress": "Am Coulombwall 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26921520", "lng": "11.67846200", "type": "edu", "country": "Germany"}, {"name": "University of Michigan-Dearborn", "source_name": "University of Michigan-Dearborn, USA", "street_adddress": "4901 Evergreen Rd, Dearborn, MI 48128, USA", "lat": "42.31840880", "lng": "-83.23320200", "type": "edu", "country": "United States"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899661"]}, {"id": "47b09d8c3690ab2e8c9c3e9157413f16024f3bb3", "title": "Learning Anchor Planes for Classification", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/60ec/1ab5b6dbb937f759fb844dce47b225e551d1.pdf"], "doi": []}, {"id": "3ab3f9d97bae4280cc915b7d4dc05f8cbbd6e6c8", "title": "Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}, {"name": "Cornell Tech, USA", "source_name": "Cornell Tech, USA", "street_adddress": "2 W Loop Rd, New York, NY 10044, USA", "lat": "40.75577270", "lng": "-73.95621120", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298658"]}, {"id": "1661df61b0ef6147fbd0b55c9989fa8e8715806d", "title": "Deep visual words: Improved fisher vector for image classification", "addresses": [{"name": "PSI-ESAT / ETHZ", "source_name": "PSI-ESAT / ETHZ", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7986832"]}, {"id": "16741cad4175adf065d6adbfdfa27acdcda2b26b", "title": "Deep Learning Approach for Building Detection in Satellite Multispectral Imagery", "addresses": [{"name": "Innopolis University", "source_name": "Institute of Robotics, Innopolis University, Russia", "street_adddress": "Universitetskaya St, 1, Innopolis, Respublika Tatarstan, Russia, 420500", "lat": "55.75344900", "lng": "48.74341100", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04247.pdf"], "doi": []}, {"id": "13c0c418df650ad94ac368c81e2133ec9e166381", "title": "Mid-level deep pattern mining", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6382.pdf"], "doi": []}, {"id": "5f0b1f37fc9c65c56106438b9aa4c6e0909d6fc0", "title": "3D object class detection in the wild", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.05038.pdf"], "doi": []}, {"id": "db9644b48ff890fd76c377192faa1e60b72c0120", "title": "Response prompting for intelligent robot instruction of students with intellectual disabilities", "addresses": [{"name": "University of Tennessee", "source_name": "University of Tennessee", "street_adddress": "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7333651"]}, {"id": "8a9fb7a5e3035e013129d55887b05f63b1fc5ad0", "title": "Person-following UAVs", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://www.svcl.ucsd.edu/publications/conference/2016/2016IEEEWACVPersonFollowingUAVs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477660", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477660", "http://doi.org/10.1109/WACV.2016.7477660"]}, {"id": "0c3d7a871915838ed5e126978c0d9f69f969b6a8", "title": "Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation", "addresses": [{"name": "TTI Chicago", "source_name": "TTI Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}, {"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": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247739"]}, {"id": "777487da0f738161e4283042084b85fca4a82487", "title": "Detector ensemble based on false positive mining for pedestrian detection", "addresses": [{"name": "Nagoya University", "source_name": "Nagoya University", "street_adddress": "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "lat": "43.53750985", "lng": "143.60768225", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486602"]}, {"id": "7f415aee0137acab659c664eb1dff15f7b726bdd", "title": "Scene Text Recognition Using Structure-Guided Character Detection and Linguistic Knowledge", "addresses": [{"name": "CASIA, Beijing, China", "source_name": "State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "gov", "country": "China"}], "year": "2014", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/3745/1/TCSVT-scene%20text%20recognition%20using%20structure-guided%20character%20detection%20and%20linguistic%20knowledge.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727574", "http://doi.org/10.1109/TCSVT.2014.2302522"]}, {"id": "58c17688fc08eb69ff3b20803a227693289d63c5", "title": "Online multiple objects tracking with detection reliability prior constraint", "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 Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}, {"name": "Guangdong University of Technology", "source_name": "Guangdong University of Technology", "street_adddress": "\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66, \u4e1c\u98ce\u4e1c\u8def, \u9ec4\u82b1\u5c97\u8857\u9053, \u8d8a\u79c0\u533a (Yuexiu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510080, \u4e2d\u56fd", "lat": "23.13538360", "lng": "113.29470496", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-5530-z"]}, {"id": "6143a034163e7c8b533afcbba6bd1c48631ca77f", "title": "Appearance-based indoor localization: A comparison of patch descriptor performance", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.03514.pdf"], "doi": []}, {"id": "71b973c87965e4086e75fd2379dd1bd8e3f8231e", "title": "Progressive Attention Networks for Visual Attribute Prediction", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}, {"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/1606.02393.pdf"], "doi": []}, {"id": "ada42b99f882ba69d70fff68c9ccbaff642d5189", "title": "Semantic Image Segmentation and Web-Supervised Visual Learning", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/ba11/4dfdd12b0f4323a8f28cd2bd770dfa74673e.pdf"], "doi": []}, {"id": "52684303004d2a9849e53a111cb847d05156d73c", "title": "Robust Online Visual Tracking with a Single Convolutional Neural Network", "addresses": [{"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}, {"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}, {"name": "Jiangxi Normal University", "source_name": "Jiangxi Normal University, Nanchang, China", "street_adddress": "Nanchang, China", "lat": "28.67850000", "lng": "116.03121200", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/452.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop3/pdffiles/w3-p12.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16814-2_13"]}, {"id": "b62ffb6a17d75363c8873a236f1d8c49d07c8a0e", "title": "An MRF-Poselets Model for Detecting Highly Articulated Humans", "addresses": [{"name": "Singapore University of Technology and Design", "source_name": "Singapore University of Technology and Design", "street_adddress": "Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore", "lat": "1.34021600", "lng": "103.96508900", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Nguyen_An_MRF-Poselets_Model_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410585", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.228", "http://doi.org/10.1109/ICCV.2015.228"]}, {"id": "32a8c1bf38f3057fdb808d27d5c1a82a168fc100", "title": "PD2T: Person-Specific Detection, Deformable Tracking", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/2017_pami_offline_deformable_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8094942", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2769654", "http://doi.org/10.1109/TPAMI.2017.2769654", "https://www.ncbi.nlm.nih.gov/pubmed/29990150"]}, {"id": "1ce04783dc3af013fbfb1ee65af97b1dbcf820fa", "title": "Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode", "addresses": [{"name": "North China University of Technology", "source_name": "Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ce0/4783dc3af013fbfb1ee65af97b1dbcf820fa.pdf"], "doi": []}, {"id": "94e378a1ee5fc205272c3fcfb46ca04a1a9916c4", "title": "Extremely Overlapping Vehicle Counting", "addresses": [{"name": "University of Alcal\u00e1", "source_name": "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "street_adddress": "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "lat": "40.48247220", "lng": "-3.36286740", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://agamenon.tsc.uah.es/Personales/rlopez/docs/ibpria2015-guerrero.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-19390-8_48"]}, {"id": "86824ba374daff17ff2235484055b3bb9c464555", "title": "S-CNN: Subcategory-Aware Convolutional Networks for Object Detection", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8051100", "http://doi.org/10.1109/TPAMI.2017.2756936", "https://www.ncbi.nlm.nih.gov/pubmed/28961103", "https://www.wikidata.org/entity/Q47667340"]}, {"id": "b86b0a3494c2e2d4a3f4c9a18f1e4fec542bb57d", "title": "Perceptual Material Attributes Arise in Local Material Recognition", "addresses": [{"name": "Drexel University", "source_name": "Drexel University", "street_adddress": "Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA", "lat": "39.95740000", "lng": "-75.19026706", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b86b/0a3494c2e2d4a3f4c9a18f1e4fec542bb57d.pdf"], "doi": []}, {"id": "8fe0a35dc47698b45f3812bb502b0921b349ae56", "title": "Online multi-person tracking via robust collaborative model", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/icip14_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025086", "http://doi.org/10.1109/ICIP.2014.7025086"]}, {"id": "70d71c2f8c865438c0158bed9f7d64e57e245535", "title": "Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/intr_obj_vrt_nips13.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2013_5198.pdf", "http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/intr_obj_vrt_nips13.pdf", "http://wwwpub.zih.tu-dresden.de/~cvweb/publications/papers/2013/nips13_vinett_torr_rother.pdf"], "doi": ["http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation"]}, {"id": "29921072d8628544114f68bdf84deaf20a8c8f91", "title": "Multi-task Curriculum Transfer Deep Learning of Clothing Attributes", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.03670.pdf"], "doi": []}, {"id": "924f931aaed2925c9d9becd0ec76c512fba8274d", "title": "Multi-target detection in CCTV footage for tracking applications using deep learning techniques", "addresses": [{"name": "Information Technologies Institute", "source_name": "Information Technologies Institute", "street_adddress": "\u516c\u76ca\u8ca1\u56e3\u6cd5\u4eba\u4e5d\u5dde\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u6240, Fukuoka SRP Center Building 7F, \u767e\u9053\u30e9\u30f3\u30d7\u4e0b\u308a\u5165\u308a\u53e3, \u65e9\u826f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 814-0001, \u65e5\u672c", "lat": "33.59345390", "lng": "130.35578370", "type": "edu", "country": "Japan"}, {"name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "source_name": "Universidad Polit\u00e9cnica de Madrid (GATV), Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532493"]}, {"id": "cfa48bc1015b88809e362b4da19fe4459acb1d89", "title": "Learning to Filter Object Detections", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/cfa4/8bc1015b88809e362b4da19fe4459acb1d89.pdf"], "doi": []}, {"id": "08f9e2129e6851afac28d63f65c2aa6fc7c49023", "title": "Visual Recognition with Humans in the Loop", "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": "2010", "pdf": ["http://people.cs.pitt.edu/~kovashka/cs3710_sp15/active_learning_yan.pdf", "http://rogerioferis.com/VisualRecognitionAndSearch2014/material/presentations/AmeyAndKaiFinegrainedCategorization.pdf", "http://vision.cornell.edu/se3/wp-content/uploads/2014/09/Visipedia20q.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/shah_expt.pdf", "http://web.cs.ucdavis.edu/~yjlee/teaching/ecs289h-fall2014/oct30_present.pdf", "http://www.cs.cornell.edu/Courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "http://www.cs.cornell.edu/courses/cs6784/2014sp/lectures/20-BransonEtAl10.pdf", "https://www.cc.gatech.edu/~hays/compvision2016/lectures/27.pdf", "https://www.cc.gatech.edu/~parikh/ACVHL/Belongie_ACVHL.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15561-1_32"]}, {"id": "66f40e4ec173a2337fa42ff9d85c6e7a18ef16e1", "title": "Online action detection and forecast via Multitask deep Recurrent Neural Networks", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952447"]}, {"id": "18ebb2bbae3dfe4ab3f592494638f33e5072c8f7", "title": "Performance analysis of CNN frameworks for GPUs", "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7975270"]}, {"id": "aacaeffbe652d0eac25267c79ce96f2f4f557e39", "title": "MEVBench: A mobile computer vision benchmarking suite", "addresses": [{"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": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6114206"]}, {"id": "4a06c130c57b373718d15aa25ebb958d78bf2840", "title": "Deformable parts model for people detection in heavy machines applications", "addresses": [{"name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "source_name": "Technical center for the Mechanical Industry (CETIM), Senlis, France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), CNRS Heudiasyc UMR 7253, Compi\u00e8gne, France", "street_adddress": "57 Avenue de Landshut, 60200 Compi\u00e8gne, France", "lat": "49.40075300", "lng": "2.79528080", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7064337", "http://doi.org/10.1109/ICARCV.2014.7064337"]}, {"id": "3640bf810f4cc3160c278763663de03bc5ba6bb9", "title": "Deep reinforcement learning boosted by external knowledge", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3167165"]}, {"id": "37314dbf2d7680b0545223abefbb58cf476273bd", "title": "The three R's of computer vision: Recognition, reconstruction and reorganization", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Facebook", "source_name": "Facebook", "street_adddress": "250 Bryant St, Mountain View, CA 94041, USA", "lat": "37.39367170", "lng": "-122.08072620", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["http://people.eecs.berkeley.edu/~shubhtuls/papers/prl16rrr.pdf", "http://www.cse.buffalo.edu/events/2013/malik.pdf", "https://people.eecs.berkeley.edu/~sgupta/pdfs/malik2016three.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2016.01.019"]}, {"id": "a81a14ff19586605ba3e6c1053d4dfdec064ac74", "title": "Object Detection and Tracking for Creation of Interactive Videos", "addresses": [{"name": "Carleton University", "source_name": "Carleton University", "street_adddress": "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "lat": "45.38608430", "lng": "-75.69539267", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a81a/14ff19586605ba3e6c1053d4dfdec064ac74.pdf"], "doi": []}, {"id": "63d86c3c2b3cb2f6d0672dd05c95187114e77027", "title": "Automatic target detection in GPR images using Histogram of Oriented Gradients (HOG)", "addresses": [{"name": "Universiti Teknologi Malaysia", "source_name": "Universiti Teknologi Malaysia", "street_adddress": "Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia", "lat": "1.56327890", "lng": "103.63821900", "type": "edu", "country": "Malaysia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7015795"]}, {"id": "d86cc655aee9596de5e0db001275c6fee495eb08", "title": "Volume segmentation using convolutional neural networks with limited training data", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296349"]}, {"id": "f576d8a18eec63c44204c7ae1c25a48d27e7af35", "title": "Adaptive window search using semantic texton forests for real-time object detection", "addresses": [{"name": "Keio University", "source_name": "Keio University", "street_adddress": "\u7db1\u5cf6\u5e02\u6c11\u306e\u68ee, \u3051\u3064\u308f\u308a\u5742, \u6e2f\u5317\u533a, \u6a2a\u6d5c\u5e02, \u795e\u5948\u5ddd\u770c, \u95a2\u6771\u5730\u65b9, 223-0053, \u65e5\u672c", "lat": "35.54169690", "lng": "139.63471840", "type": "edu", "country": "Japan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738678"]}, {"id": "1ddea4c0a2fd23f4878c20a7ec446090290011fc", "title": "Towards real-time DPM object detector for driver assistance", "addresses": [{"name": "University of Louisiana at Lafayette", "source_name": "University of Louisiana at Lafayette, Lafayette, LA", "street_adddress": "104 East University Avenue, Lafayette, LA 70504, USA", "lat": "30.21144040", "lng": "-92.02041210", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533079"]}, {"id": "b51fb0118975d2d57d33bb61ba3ed40260fab9d1", "title": "Learning equivariant structured output SVM regressors", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126339"]}, {"id": "1f9d5b6c48e8674190c6db6b4abc87fec20038c7", "title": "UnrealCV: Connecting Computer Vision to Unreal Engine", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01326.pdf"], "doi": []}, {"id": "5b0b675416d0603008d5650bbb259f8ab230e8cb", "title": "Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": ["https://arxiv.org/pdf/1009.4823.pdf"], "doi": []}, {"id": "a0b9a6123fa8113ad3ddc44614941c73512b9dca", "title": "Multi-class object segmentation based on jointly integrating segment-level and image-level object priors", "addresses": [{"name": "Ningbo University of Technology", "source_name": "Ningbo University of Technology, Ningbo, China", "street_adddress": "201 Fenghua Rd, Jiangbei Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.90986300", "lng": "121.61432300", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832104"]}, {"id": "e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55", "title": "Zero-Shot Detection", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07113.pdf"], "doi": []}, {"id": "ce290c46257f7676147b5cfe4c104373e4fca13a", "title": "Deep Feature Compression for Collaborative Object Detection", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451100"]}, {"id": "d3fefc8ea31d9676ca6115e81c55c0cd335131c2", "title": "Information Content of Very-High-Resolution SAR Images: Semantics, Geospatial Context, and Ontologies", "addresses": [{"name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, We\u00dfling, Germany", "source_name": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR),, Weßling, Germany", "street_adddress": "Germany", "lat": "51.16569100", "lng": "10.45152600", "type": "gov", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6960829"]}, {"id": "cf3e9d7cc63959aa7b71ef3e72521fe8814ba3d5", "title": "HumanRcoarseR poseRdiscretization ( labels ) 3 DRModelRfine poseRdiscretization ( angles ) AnnotationRimage 45 \u00b0", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cf3e/9d7cc63959aa7b71ef3e72521fe8814ba3d5.pdf"], "doi": []}, {"id": "5b4b84ce3518c8a14f57f5f95a1d07fb60e58223", "title": "Diagnosing Error in Object Detectors", "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": "2012", "pdf": ["https://pdfs.semanticscholar.org/9f92/05a60ddf1135929e0747db34363b3a8c6bc8.pdf"], "doi": []}, {"id": "50d1021392b6b226cb6a022b69b55396dfec99fa", "title": "Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", "addresses": [{"name": "Computer Vision Laboratory, ETH Zurich", "source_name": "Computer Vision Laboratory ETH Zurich, UK", "street_adddress": "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "lat": "47.37723980", "lng": "8.55216180", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01295.pdf", "http://www.vision.ee.ethz.ch/~daid/publications/%5Bwacv2016%5DLeveraging_single_for_multiple_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477566", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477566", "http://doi.org/10.1109/WACV.2016.7477566"]}, {"id": "1b90548616d09bfdb788dbfb1e1a1aedb62396d8", "title": "A novel autonomous navigation approach for UAV power line inspection", "addresses": [{"name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "source_name": "State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences, Beijing, 100109, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324488"]}, {"id": "db3fdaaf30c8d3390b72b864134d1a8f2c18fac8", "title": "Understanding Infographics through Textual and Visual Tag Prediction", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09215.pdf"], "doi": []}, {"id": "d764fd52625933692843941825845fcd5ee27f0d", "title": "Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d764/fd52625933692843941825845fcd5ee27f0d.pdf"], "doi": []}, {"id": "1ebb95859f0398cac9a957c61f5047f268ec89a3", "title": "StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}, {"name": "Oxford, UK", "source_name": "Oxford, UK", "street_adddress": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu", "country": "United Kingdom"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2010", "pdf": ["http://cms.brookes.ac.uk/staff/PhilipTorr/Papers/2010/BMVC10/jw_stypboost.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/abstract60.pdf", "http://www.bmva.org/bmvc/2010/conference/paper60/paper60.pdf", "http://www.robots.ox.ac.uk/~phst/Papers/2010/BMVC10/jw_stypboost.pdf"], "doi": ["https://doi.org/10.5244/C.24.60"]}, {"id": "572785b5d6f6fa4b174d79725f82c056b0fb4565", "title": "Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05519.pdf"], "doi": []}, {"id": "2d34052aa801b2061670be0a39f59ae51b5e5866", "title": "High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation", "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": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7098386"]}, {"id": "221252be5d5be3b3e53b3bbbe7a9930d9d8cad69", "title": "Do We Need More Training Data or Better Models for Object Detection?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2212/52be5d5be3b3e53b3bbbe7a9930d9d8cad69.pdf"], "doi": []}, {"id": "51c765b8d872c206f6dd781ab26bd5a8c2feb81e", "title": "Semantic Image Segmentation via Deep Parsing Network", "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": "2015", "pdf": ["https://arxiv.org/pdf/1509.02634.pdf"], "doi": []}, {"id": "3785f701a53ab0c8baa9b76c75216944361943b8", "title": "Reproducible evaluation of Pan-Tilt-Zoom tracking", "addresses": [{"name": "Polytechnique Montr\u00e9al", "source_name": "Laboratoire d\u2019interpr\u00e9tation et de traitement d\u2019images et vid\u00e9o, Polytechnique Montr\u00e9al, Montreal, Canada", "street_adddress": "2900 Boulevard Edouard-Montpetit, Montr\u00e9al, QC H3T 1J4, Canada", "lat": "45.50438400", "lng": "-73.61288290", "type": "edu", "country": "Canada"}, {"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "Universit\u00e9 Laval", "source_name": "Universit\u00e9 Laval", "street_adddress": "2325 Rue de l'Universit\u00e9, Qu\u00e9bec, QC G1V 0A6, Canada", "lat": "46.78174630", "lng": "-71.27474240", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351162"]}, {"id": "b8660b0a60c2ecd0f34c42d4d2a043cfc4f01ce1", "title": "DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects", "addresses": [{"name": "IDSIA & USI", "source_name": "IDSIA & USI", "street_adddress": "Via Giuseppe Buffi 13, 6900 Lugano, Switzerland", "lat": "46.01073700", "lng": "8.95810900", "type": "edu", "country": "Switzerland"}, {"name": "University of Venice", "source_name": "DAIS, University of Venice, Italy", "street_adddress": "Dorsoduro, 3246, 30123 Venezia VE, Italy", "lat": "45.43453200", "lng": "12.32619700", "type": "edu", "country": "Italy"}, {"name": "University of Venice & ZHAW", "source_name": "University of Venice & ZHAW", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab", "source_name": "ZHAW Datalab", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}, {"name": "ZHAW Datalab & USI", "source_name": "ZHAW Datalab & USI", "street_adddress": "Gertrudstrasse 15, 8400 Winterthur, Switzerland", "lat": "47.49991300", "lng": "8.72052200", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545307"]}, {"id": "72be36fce39e2c04ac1f3e3995b39559e226fe34", "title": "Visual object tracking based on particle filter re-detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Institute of Automation, Heilongjiang Academy of Sciences, Harbin, China", "source_name": "The Institute of Automation Heilongjiang Academy of Sciences, Harbin, China", "street_adddress": "Hei Long Jiang Sheng Ke Xue Yuan Zi Dong Hua Yan Jiu Suo, HuiZhan, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150090", "lat": "45.74575440", "lng": "126.69166510", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304242"]}, {"id": "c1ba0d38d855af0f4a2c2cf0f4fa48e4477fc4ec", "title": "Efficient Highly Over-Complete Sparse Coding Using a Mixture Model", "addresses": [{"name": "Beckman Institute", "source_name": "Beckman Institute", "street_adddress": "Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["http://www.dbs.ifi.lmu.de/~yu_k/ECCV10-HSC.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/ECCV10-HSC.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-15555-0_9"]}, {"id": "52fe6d952ac0b6888b65293acfaec6825153c955", "title": "Visual tracking based on weighted subspace reconstruction error", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025092"]}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "addresses": [{"name": "E\u00f6tv\u00f6s Lor\u00e1nd University", "source_name": "Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter s\u00e9t\u00e1ny 1/C, Budapest H-1117, Hungary", "street_adddress": "Budapest, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C., 1117 Hungary", "lat": "47.47228960", "lng": "19.06235910", "type": "edu", "country": "Hungary"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"], "doi": []}, {"id": "4be7eb91407043d66e1cbbb6891e9b58ddce8c09", "title": "Robust Visual Tracking Revisited: From Correlation Filter to Template Matching", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8307468"]}, {"id": "21462ab847ee919abbd862c1f86b7c13ad34d519", "title": "Traffic scene segmentation based on boosting over multimodal low, intermediate and high order multi-range channel features", "addresses": [{"name": "Technical University of Cluj-Napoca", "source_name": "Technical University of Cluj-Napoca", "street_adddress": "Strada Memorandumului 28, Cluj-Napoca 400114, Romania", "lat": "46.76929900", "lng": "23.58561300", "type": "edu", "country": "Romania"}], "year": "2017", "pdf": ["http://cv.utcluj.ro/tl_files/cv/publications/IV2017_0468.pdf", "https://cv.utcluj.ro/tl_files/cv/publications/Traffic%20Scene%20Segmentation%20based%20on%20Boosting%20over%20Multimodal%20Low,%20Intermediate%20and%20High%20Order%20Multi-range%20Channel%20Features%20.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995701", "http://doi.org/10.1109/IVS.2017.7995701"]}, {"id": "f12354cbe696ee2f278abaccf7ee4305b3f4f1a3", "title": "Dense Receptive Field for Object Detection", "addresses": [{"name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "source_name": "Beijing Faceall Technology Co.,Ltd, Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "company", "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": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546207"]}, {"id": "038e2f45575c234358325dd0dd16421136882191", "title": "Planar Object Detection using Local Feature Descriptors", "addresses": [{"name": "Slovak University of Technology in Bratislava", "source_name": "Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovi\u010dova 3, 812 19 Bratislava, Slovak Republic", "street_adddress": "Ilkovi\u010dova 2961/3, 841 04 Karlova Ves, Slovakia", "lat": "48.15185320", "lng": "17.07334460", "type": "edu", "country": "Slovakia"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/038e/2f45575c234358325dd0dd16421136882191.pdf"], "doi": []}, {"id": "5570388d982bebe4eb80f1eb7348e353370a5ebf", "title": "DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01405.pdf"], "doi": []}, {"id": "285b27126e3e6d51942e8a152581a59110a9feaa", "title": "Visual Tracking via Probabilistic Hypergraph Ranking", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368902"]}, {"id": "8e90aa167c7ba97228ecee23886f74c21f8fabd5", "title": "Symbolic Segmentation Using Algorithm Selection", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d  \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07934.pdf"], "doi": []}, {"id": "35535b2b03a9fcbcd8c09f753e1a69c977add020", "title": "Estimation of intersection traffic density on decentralized architectures with deep networks", "addresses": [{"name": "Siemens Corporate Research and Technologies", "source_name": "Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India", "street_adddress": "84, Hosur Road, Electronics City Phase 1, Keonics Electronics City, Bengaluru, Karnataka 560100, India", "lat": "12.84508670", "lng": "77.66094070", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8090799"]}, {"id": "c0c3e0161a1007a5edf701a6b4a201ca06922559", "title": "Enhancing Multi-Camera People Detection by Online Automatic Parametrization Using Detection Transfer and Self-Correlation Maximization \u2020", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0c3/e0161a1007a5edf701a6b4a201ca06922559.pdf"], "doi": []}, {"id": "45d45687ebca6281d44e477cd012a1ef48ebf286", "title": "Deep fruit detection in orchards", "addresses": [{"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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989417"]}, {"id": "40c22f4717a6364e8e3e296bc5533d00cbe5b188", "title": "A seeding-searching-ensemble method for gland segmentation and detection", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7359707"]}, {"id": "6b8c4082cff10a893efa172da0ca1d31e166be0f", "title": "Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03128.pdf"], "doi": []}, {"id": "ec25f39fa6b4ef4529981a1ae051086e93642d27", "title": "Deformable Part Models are Convolutional Neural Networks Tech report", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ec25/f39fa6b4ef4529981a1ae051086e93642d27.pdf"], "doi": []}, {"id": "da082139f303fd36c160d91acc0949c005dd846c", "title": "A Deep Learning Framework for Semi-Supervised Cross-Modal Retrieval with Label Prediction", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01391.pdf"], "doi": []}, {"id": "7cbbcb0698ce5cd22951147ca8d606a91e9c0f05", "title": "Active object detection on graphs via locally informative trees", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738876"]}, {"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"], "doi": []}, {"id": "d802b6f76288e62f9236d13c59dedb94453e6915", "title": "Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7947145"]}, {"id": "6342c679becb63aed72a9c7cc2cf3b217adcacee", "title": "Deep-learning-based object-level contour detection with CCG and CRF optimization", "addresses": [{"name": "University of Alabama at Birmingham", "source_name": "University of Alabama at Birmingham, 35294, USA", "street_adddress": "1720 2nd Ave S, Birmingham, AL 35294, USA", "lat": "33.50212270", "lng": "-86.80644470", "type": "edu", "country": "United States"}, {"name": "Institute of Computer Science and Technology, Beijing, China", "source_name": "Institute of Computer Science and Technology, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun N St, \u9038\u592b\u82d1", "lat": "39.99065830", "lng": "116.31493890", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019358", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019358", "http://doi.org/10.1109/ICME.2017.8019358"]}, {"id": "1ed99a11c20afc2e6e2f3585f575bf936898dcb3", "title": "Reasoning and algorithm selection augmented symbolic segmentation", "addresses": [{"name": "Nazarbayev University", "source_name": "Nazarbayev University", "street_adddress": "\u041d\u0430\u0437\u0430\u0440\u0431\u0430\u0435\u0432 \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442, \u043f\u0440\u043e\u0441\u043f\u0435\u043a\u0442 \u0422\u0443\u0440\u0430\u043d, BI village, \u0410\u0441\u0442\u0430\u043d\u0430, \u0440\u0430\u0439\u043e\u043d  \u0415\u0441\u0438\u043b\u044c, \u0410\u0441\u0442\u0430\u043d\u0430, 010000, \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d", "lat": "51.09028540", "lng": "71.39725263", "type": "edu", "country": "Kazakhstan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.03667.pdf"], "doi": []}, {"id": "8c9eaebd1db02f6f94c6e65bc206402f74523e82", "title": "Unsupervised domain adaptation of deep object detectors", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8c9e/aebd1db02f6f94c6e65bc206402f74523e82.pdf"], "doi": []}, {"id": "f2f086b4ea5c37712b8fbcbcb4af6d24d4f2b78b", "title": "Comparative Analysis of Face Detection Algorithms: Novice to Novel", "addresses": [{"name": "Aljouf University", "source_name": "Aljouf University, Skaka Aljouf, 72388, Saudi Arabia", "street_adddress": "\u0637\u0631\u064a\u0642 \u0627\u0644\u0645\u0637\u0627\u0631\u060c Sakakah Saudi Arabia", "lat": "29.79074900", "lng": "40.04499400", "type": "edu", "country": "Saudi Arabia"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8571474"]}, {"id": "9d1512cec2cddf707f4a82c6781c4cd7de6c1ed6", "title": "Predicting the Location of \"interactees\" in Novel Human-Object Interactions", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c1ae/89b26dc27b5725d08aba484afff43fa39d77.pdf"], "doi": []}, {"id": "55968c9906e13eff2a7fb03d7c416a6d0f9f53e0", "title": "HFS: Hierarchical Feature Selection for Efficient Image Segmentation", "addresses": [{"name": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Oxford University", "source_name": "Oxford University", "street_adddress": "University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK", "lat": "51.75208490", "lng": "-1.25166460", "type": "edu", "country": "United Kingdom"}, {"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": "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": ["http://cg.cs.tsinghua.edu.cn/papers/ECCV-2016-Hfs.pdf", "http://mftp.mmcheng.net/Papers/HFS.pdf", "http://www.eccv2016.org/files/posters/P-2B-16.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2016/0682.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-46487-9_53"]}, {"id": "4ac0a37ba0630310e7848e144edcba9ea3d05334", "title": "Max-Margin Dictionary Learning for Multiclass Image Categorization", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4ac0/a37ba0630310e7848e144edcba9ea3d05334.pdf"], "doi": []}, {"id": "46ae0bc7291d209b9effe0bdddf43c82d19832b1", "title": "LinedCut: Image segmentation using single line interaction", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7003816"]}, {"id": "77a0e3e366e061b0ceb4a7a901ee18e420185447", "title": "Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries", "addresses": [{"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/1704.03944.pdf"], "doi": []}, {"id": "9b0ae635f1d3c2771920eb59a80aec35a8bce58a", "title": "An Experimental Protocol for Benchmarking Robotic Indoor Navigation", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9b0a/e635f1d3c2771920eb59a80aec35a8bce58a.pdf"], "doi": []}, {"id": "5c9464407e52a72bc5fe05d214a8140fcc7aeaed", "title": "Boosted local classifiers for visual tracking", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552903"]}, {"id": "5cb5207759597a5d293a331af73e1ace574a4ba4", "title": "Plug-and-play correlation filters for visual tracking", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240899"]}, {"id": "29b3ece4a5d56b0ac072ac7ff5f5ab03fdc27ee9", "title": "Object proposals using CNN-based edge filtering", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899704"]}, {"id": "013e0fe2d203eaa33a4b42d057688815116cc6bb", "title": "Recognizing Car Fluents from Video", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08067.pdf"], "doi": []}, {"id": "931282732f0be57f7fb895238e94bdda00a52cad", "title": "Gated Bi-directional CNN for Object Detection", "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": "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/9312/82732f0be57f7fb895238e94bdda00a52cad.pdf"], "doi": []}, {"id": "2e230fba690287b9cf891adc0a0a089df3a383b1", "title": "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", "addresses": [{"name": "Xi\u2019an Jiaotong-Liverpool University", "source_name": "Xi\u2019an Jiaotong-Liverpool University, Jiangsu, China", "street_adddress": "Wuzhong, Suzhou, China, 215123", "lat": "31.27482200", "lng": "120.73809400", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8016672", "http://doi.org/10.1109/TIP.2017.2745109", "https://www.ncbi.nlm.nih.gov/pubmed/28858797", "https://www.wikidata.org/entity/Q48675320"]}, {"id": "595a8356461904b2dfe7f46acc87002fcee9d4a1", "title": "Supervised Adversarial Networks for Image Saliency Detection", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07242.pdf"], "doi": []}, {"id": "cae6f7249783b102e8b05216709a780f47c57f7c", "title": "Subjective evaluation of image understanding results", "addresses": [{"name": "ENSICAEN - University of CAEN - CNRS", "source_name": "GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Mar\u00e9chal Juin, 14000 CAEN, France", "street_adddress": "Campus 2, B\u00e2timent F, 6 Boulevard Mar\u00e9chal Juin, 14000 Caen, France", "lat": "49.21489100", "lng": "-0.36895200", "type": "edu", "country": "France"}, {"name": "ENSI de Bourges - University of Orl\u00e9ans", "source_name": "PRISME Institute, ENSI de Bourges - University of Orl\u00e9ans, 88 Boulevard Lahitolle, 18020 BOURGES, France", "street_adddress": "88 Boulevard Lahitolle, 18000 Bourges, France", "lat": "47.08188770", "lng": "2.41554390", "type": "edu", "country": "France"}], "year": "2010", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2010/Contents/papers/1569291909.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7096451", "http://ieeexplore.ieee.org/document/7096451/"]}, {"id": "cd7aadcf23e056ae5900c72517a34b6cc8d66e0c", "title": "Combining deep learning and unsupervised clustering to improve scene recognition performance", "addresses": [{"name": "Northwestern University", "source_name": "Northwestern University", "street_adddress": "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu", "country": "United States"}, {"name": "Yahoo! Inc.", "source_name": "Yahoo! Inc., 701 1st Ave, Sunnyvale, CA 94089, USA", "street_adddress": "701 1st Ave, Sunnyvale, CA 94089, USA", "lat": "37.41715730", "lng": "-122.02500480", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7340859"]}, {"id": "8a336adeb5115f2e70d65dfd9e7feed6e894fb3a", "title": "The sketchy database: learning to retrieve badly drawn bunnies", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2925954"]}, {"id": "39afeceb57a7fde266ddd842aa23d2eea7ad5665", "title": "Agile Amulet: Real-Time Salient Object Detection with Contextual Attention", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06960.pdf"], "doi": []}, {"id": "5e9f81f93413a82bf3bd9e77b44b1ca6006f5830", "title": "Pedestrian Detection in RGB-D Images from an Elevated Viewpoint", "addresses": [{"name": "Graz University of Technology", "source_name": "Graz University of Technology", "street_adddress": "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "lat": "47.05821000", "lng": "15.46019568", "type": "edu", "country": "Austria"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e9f/81f93413a82bf3bd9e77b44b1ca6006f5830.pdf"], "doi": []}, {"id": "1a6abbe2e052c07ae2524ffdf91a8b340cdb2718", "title": "Concatenating multiple trajectories using Kalman filter for pedestrian tracking", "addresses": [{"name": "UADE, Argentina", "source_name": "Instituto de Tecnologia - UADE, Buenos Aires, Argentina", "street_adddress": "Lima 775, C1073 AAO, Buenos Aires, Argentina", "lat": "-34.61709410", "lng": "-58.38204780", "type": "edu", "country": "Argentina"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868520"]}, {"id": "182432088c9fac5b0ac977df625cb40765f7c84c", "title": "Visual Utility : A Framework for Focusing Computer Vision Algorithms", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/1824/32088c9fac5b0ac977df625cb40765f7c84c.pdf"], "doi": []}, {"id": "9241b103b76a3bdae157038b71783d7d372c71e9", "title": "Visual Classification of Furniture Styles", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065951"]}, {"id": "a8308ff2e31f0213d7cc360e613872a0efe3ed3d", "title": "Background Modeling and Foreground Detection for Maritime Video Surveillance", "addresses": [{"name": "Sapienza University of Rome", "source_name": "Sapienza University of Rome", "street_adddress": "Piazzale Aldo Moro, 5, 00185 Roma RM, Italy", "lat": "41.90376260", "lng": "12.51443840", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.dis.uniroma1.it/~bloisi/papers/background-modeling-and-foreground-detection-for-maritime-video-surveillance.pdf"], "doi": ["https://doi.org/10.1201/b17223-18"]}, {"id": "24410627f9db865c4a95bf0ec74547f582ee198b", "title": "Object tracking via appearance modeling and sparse representation", "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": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.cse.sc.edu/~songwang/document/ivc11.pdf", "https://cse.sc.edu/~songwang/document/ivc11.pdf"], "doi": ["https://doi.org/10.1016/j.imavis.2011.08.006"]}, {"id": "5dd7d5d91e7e26ec65891f504b9a725f6c26ff27", "title": "Detection of Cars in High-Resolution Aerial Images of Complex Urban Environments", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7982952", "http://doi.org/10.1109/TGRS.2017.2716984"]}, {"id": "c4ee54f69de0b5b87e00c270c2ab4229da0720eb", "title": "Real-time people counting from depth imagery of crowded environments", "addresses": [{"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2014", "pdf": ["http://www.micc.unifi.it/publications/2014/BSBD14/PID3277847.pdf", "https://www.micc.unifi.it/wp-content/uploads/2017/03/people-counting.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918691", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918691", "http://doi.org/10.1109/AVSS.2014.6918691"]}, {"id": "fc23a386c2189f221b25dbd0bb34fcd26ccf60fa", "title": "A Discriminative Latent Model of Object Classes and Attributes", "addresses": [{"name": "Simon Fraser University", "source_name": "Simon Fraser University", "street_adddress": "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu", "country": "Canada"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fc23/a386c2189f221b25dbd0bb34fcd26ccf60fa.pdf"], "doi": []}, {"id": "736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586", "title": "Figure-Ground Organization Based on 3 D Symmetry", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/736e/0b2e5a7e87a7d6e1412e7a4d4f180e89d586.pdf"], "doi": []}, {"id": "d5c8280e49cf7f58356e37e1722ab429415204ff", "title": "Object detection at multiple scales improves accuracy", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2008", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.214.114&rep=rep1&type=pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4761508", "http://doi.org/10.1109/ICPR.2008.4761508"]}, {"id": "3ea8d289313b0fe14031ea0d29f517f92a3b0fd3", "title": "Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation", "addresses": [{"name": "Queensland University of Technology (QUT)", "source_name": "Queensland University of Technology (QUT)", "street_adddress": "2 George St, Brisbane City QLD 4000, Australia", "lat": "-27.47735700", "lng": "153.02841500", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10800.pdf"], "doi": []}, {"id": "531e412155cde56382906aeee2a1b28ec61259c5", "title": "Learning to localize detected objects", "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": "2012", "pdf": ["http://dhoiem.cs.illinois.edu/publications/cvpr2012_objectsegmentation_qieyun.pdf", "http://www.csd.uwo.ca/~olga/Courses/Fall2014/CS9840/PossibleStudentPapers/cvpr2012_objectsegmentation_qieyun.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248070", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248070", "http://doi.org/10.1109/CVPR.2012.6248070"]}, {"id": "2fc8905a80b284d2cc204dc38ce10d904a875be9", "title": "VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2fc8/905a80b284d2cc204dc38ce10d904a875be9.pdf"], "doi": []}, {"id": "bed6b2bbe601a2a81c2191adf1cab487d4bf070e", "title": "Vocabulary Scene Parsing", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"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": "", "pdf": ["https://pdfs.semanticscholar.org/bed6/b2bbe601a2a81c2191adf1cab487d4bf070e.pdf"], "doi": []}, {"id": "6d90a0ac9d015b911469663d505b2e3d8f75520f", "title": "A system for real-time detection and tracking of vehicles from a single car-mounted camera", "addresses": [{"name": "Advanced Technology division, Toyota Motor Europe, Japan", "source_name": "Advanced Technology division, Toyota Motor Europe, Japan", "street_adddress": "Japan", "lat": "36.20482400", "lng": "138.25292400", "type": "company", "country": "Japan"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}], "year": "2012", "pdf": ["http://cmp.felk.cvut.cz/data/motorway/paper/itsc2012_presentation.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/itsc2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338748", "http://doi.org/10.1109/ITSC.2012.6338748"]}, {"id": "8ba686c99684c6be46988ed3ab1003312c2fbf80", "title": "A non-temporal texture driven approach to real-time fire detection", "addresses": [{"name": "Cranfield University", "source_name": "Cranfield University, UK", "street_adddress": "College Rd, Wharley End, Bedford MK43 0AL, UK", "lat": "52.07418180", "lng": "-0.62781230", "type": "edu", "country": "United Kingdom"}], "year": "2011", "pdf": ["http://breckon.eu/toby/publications/papers/chenebert11fire.pdf", "https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/7588/Real-time_fire_detection-2011.pdf;jsessionid=BFF4BCF2CC5EF353D82416490C8E1B85?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6115796", "http://doi.org/10.1109/ICIP.2011.6115796", "https://www.wikidata.org/entity/Q54267947"]}, {"id": "69877c56737f84951db86ff27235b597ef95be2f", "title": "Sequential Labeling with Structural SVM Under an Average Precision Loss", "addresses": [{"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"}], "year": "2016", "pdf": ["https://opus.lib.uts.edu.au/bitstream/10453/100177/1/Conference%20paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-49055-7_31"]}, {"id": "2d1d105538961d9b301bda6248d6df55829751be", "title": "Context-dependent kernel design for object matching and recognition", "addresses": [{"name": "Certis Lab, ENPC ParisTech, France", "source_name": "Certis Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "Telecom ParisTech", "source_name": "UMR 5141, CNRS, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CVPR08c.pdf", "http://certis.enpc.fr/publications/papers/TSI0718.pdf", "http://imagine.enpc.fr/~audibert/Mes%20articles/CVPR08c.pdf", "http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/267.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/267.pdf", "http://www.di.ens.fr/willow/pdfs/CVPR08c.pdf", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/file/CVPR08c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587607", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587607", "http://doi.org/10.1109/CVPR.2008.4587607", "http://service.tsi.telecom-paristech.fr/cgi-bin//valipub_download.cgi?dId=50", "https://hal-enpc.archives-ouvertes.fr/hal-00835081/document"]}, {"id": "2c953b06c1c312e36f1fdb9919567b42c9322384", "title": "Ensemble of exemplar-SVMs for object detection and beyond", "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": "2011", "pdf": ["http://people.csail.mit.edu/tomasz/papers/malisiewicz_iccv11.pdf", "http://people.csail.mit.edu/tomasz/presentations/exemplarsvm-mit-talk.pdf", "http://www.cs.cmu.edu/~tmalisie/projects/iccv11/exemplarsvm-iccv11.pdf", "http://www.frontiersincomputervision.com/slides/FCV_Poster_Efros.pdf", "http://www.tamaraberg.com/teaching/Fall_13/lectures/group4_4.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126229", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126229", "http://doi.org/10.1109/ICCV.2011.6126229", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1780&context=robotics"]}, {"id": "390faba76c076e6bf8db4b0850366bd084be257a", "title": "Real-time keypoint-based object tracking via online learning", "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"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6747687"]}, {"id": "2cd7821fcf5fae53a185624f7eeda007434ae037", "title": "Exploring the geo-dependence of human face appearance", "addresses": [{"name": "University of Kentucky", "source_name": "University of Kentucky", "street_adddress": "University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://cs.uky.edu/~jacobs/papers/islam2014faces.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6835989", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6835989", "http://doi.org/10.1109/WACV.2014.6835989"]}, {"id": "ad173dd56894fe00ab1bca68c284dc34b5e67a0e", "title": "Multi-scale object detection by clustering lines", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["http://hci.iwr.uni-heidelberg.de/COMPVIS/research/voting/ommer_cvl_iccv09.pdf", "https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/ommer_cvl_iccv09.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459200", "http://doi.org/10.1109/ICCV.2009.5459200"]}, {"id": "38d782a3ec91e2f8b0be131243eacfe6e6b07284", "title": "Robustness Against Unknown Noise for Raw Data Fusing Neural Networks", "addresses": [{"name": "Daimler AG", "source_name": "Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany", "street_adddress": "Mercedesstra\u00dfe 128, 70327 Stuttgart, Germany", "lat": "48.78634620", "lng": "9.23807180", "type": "company", "country": "Germany"}, {"name": "Royal Holloway, Egham Hill, Egham, United Kingdom", "source_name": "Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom", "street_adddress": "Egham Hill, Egham TW20 0EX, UK", "lat": "51.42567300", "lng": "-0.56306250", "type": "edu", "country": "United Kingdom"}, {"name": "University Ulm", "source_name": "University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany", "street_adddress": "Albert-Einstein-Allee 41, 89081 Ulm, Germany", "lat": "48.42075690", "lng": "9.94759610", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pure.royalholloway.ac.uk/portal/files/31291311/ITSC18_0485_FI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569911", "http://doi.org/10.1109/ITSC.2018.8569911"]}, {"id": "fe5c43aa19da5cbbf5a42e4697659875f7389b91", "title": "Tracking People in Broadcast Sports", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fe5c/43aa19da5cbbf5a42e4697659875f7389b91.pdf"], "doi": []}, {"id": "e1f041594fa37d407c80b28a13680a9ddc081c49", "title": "Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11232.pdf"], "doi": []}, {"id": "414cf31a68b890dfb395c55e6ba078beaa5d2cbb", "title": "Rotation-Invariant Features for Multi-Oriented Text Detection in Natural Images", "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": "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": "2013", "pdf": ["https://pdfs.semanticscholar.org/414c/f31a68b890dfb395c55e6ba078beaa5d2cbb.pdf"], "doi": []}, {"id": "f5a900b6f9baf8f5aefe2a6cfe6cf7bdbb243c50", "title": "Why my photos look sideways or upside down? Detecting canonical orientation of images using convolutional neural networks", "addresses": [{"name": "Samsung R&D Insitute India - Bangalore, India", "source_name": "Samsung R&D Insitute India - Bangalore, India", "street_adddress": "#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company", "country": "India"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026216"]}, {"id": "7d520f474f2fc59422d910b980f8485716ce0a3e", "title": "Designing Convolutional Neural Networks for Urban Scene Understanding", "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", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/2128/4a9310a4b4c836b8dfb6af39c682b7348128.pdf"], "doi": []}, {"id": "dab8b00e5619ceec615b179265cd6d315a97911d", "title": "A two-stage training deep neural network for small pedestrian detection", "addresses": [{"name": "Teikyo University", "source_name": "Teikyo University", "street_adddress": "Japan, \u3012173-8605 Tokyo, \u677f\u6a4b\u533a\u52a0\u8cc0\uff12\u4e01\u76ee\uff11\uff11\u2212\uff11", "lat": "35.75927460", "lng": "139.71450290", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8168106", "http://doi.org/10.1109/MLSP.2017.8168106"]}, {"id": "d012f6d7fd45051adaff8da4ce0860de9f81d445", "title": "A Deep Multi-task Learning Approach to Skin Lesion Classification", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1812.03527.pdf"], "doi": []}, {"id": "9a7671fcb2f8876dba7bf5ed708100d29e3ecfc4", "title": "Learning by focusing: A new framework for concept recognition and feature selection", "addresses": [{"name": "IBM T.J. Watson Research Center", "source_name": "IBM T. J. Watson Research, Center, New York, USA", "street_adddress": "1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA", "lat": "41.20975160", "lng": "-73.80264670", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/learning_by_focusing_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607609", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607609", "http://doi.org/10.1109/ICME.2013.6607609"]}, {"id": "4a31ca27b987606ae353b300488068b5240633ee", "title": "WSABIE: scaling up to large vocabulary image annotation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2011", "pdf": ["http://bengio.abracadoudou.com/cv/publications/pdf/weston_2011_ijcai.pdf", "http://ijcai.org/Proceedings/11/Papers/460.pdf", "http://www.thespermwhale.com/jaseweston/papers/wsabie-ijcai.pdf"], "doi": ["http://doi.org/10.5591/978-1-57735-516-8%2FIJCAI11-460", "https://www.wikidata.org/entity/Q47516823"]}, {"id": "40b237c04438a1828083a139ebc88f521591375a", "title": "Tracking handheld object using three layer RGB-D image space", "addresses": [{"name": "Osaka University", "source_name": "Osaka University", "street_adddress": "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "lat": "34.80809035", "lng": "135.45785218", "type": "edu", "country": "Japan"}, {"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139524"]}, {"id": "24988830d49d96dd83f6cb4f622fd7e1248fa7e5", "title": "DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics", "addresses": [{"name": "College of William and Mary, Williamsburg, VA", "source_name": "College of William and Mary, Williamsburg, VA", "street_adddress": "Sadler Center, 200 Stadium Dr, Williamsburg, VA 23185, USA", "lat": "37.27167400", "lng": "-76.71337800", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485905"]}, {"id": "894e4376750b83b63649cc518b121f345ca0df83", "title": "Real-Time Long-Term Tracking With Prediction-Detection-Correction", "addresses": [{"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8283783"]}, {"id": "fe86ef81dcd6cdfe3a67437b53ab480557b04a71", "title": "Towards Effective Image Classification Using Class-Specific Codebooks and Distinctive Local Features", "addresses": [{"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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001714", "http://doi.org/10.1109/TMM.2014.2388312"]}, {"id": "5f0ddac97b2a3e6fb2d3f0193d346010b9265f4f", "title": "Evaluation on fusion of saliency and objectness for salient object segmentation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2808510"]}, {"id": "01f26d2945c4eca35890756d114b4cba9931bf25", "title": "Transform invariant text extraction", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "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": "2013", "pdf": ["http://www.cis.pku.edu.cn/faculty/vision/zlin/Publications/2014-VP-Text.pdf"], "doi": ["http://doi.org/10.1007/s00371-013-0864-7"]}, {"id": "81825711c2aaa1b9d3ead1a300e71c4353a41382", "title": "End-to-end training of object class detectors for mean average precision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.03476.pdf"], "doi": []}, {"id": "0d517ddc86858e4068d52dd6f6df53a9a8599690", "title": "Rotation invariant power line insulator detection using local directional pattern and support vector machine", "addresses": [{"name": "SungKyunKwan University", "source_name": "SungKyunKwan University", "street_adddress": "\uc131\uade0\uad00\ub300, \ub355\uc601\ub300\ub85c, \ucc9c\ucc9c\ub3d9, \uc7a5\uc548\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16357, \ub300\ud55c\ubbfc\uad6d", "lat": "37.30031270", "lng": "126.97212300", "type": "edu", "country": "South Korea"}, {"name": "Sogang University", "source_name": "Sogang University, Seoul, Republic of Korea", "street_adddress": "35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea", "lat": "37.55094420", "lng": "126.94100230", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7856522"]}, {"id": "aa344c313e2e2820ecfe8b6edfc24eda34e0a120", "title": "One-Class Convolutional Neural Network", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8586962"]}, {"id": "0d60264bbb41ed188f852d96441f43909c3e60ee", "title": "A Feature Descriptor Based on Local Normalized Difference for Real-World Texture Classification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8061018", "http://doi.org/10.1109/TMM.2017.2760102"]}, {"id": "8cded4bbe4202ee81c2b75ebe27f839c87b0755e", "title": "Objectness to improve the bag of visual words model", "addresses": [{"name": "University of Bucharest", "source_name": "University of Bucharest, 14 Academiei Street, Bucharest, Romania", "street_adddress": "Strada Academiei 14, Bucure\u0219ti 010014, Romania", "lat": "44.43546330", "lng": "26.09968830", "type": "edu", "country": "Romania"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025655", "http://doi.org/10.1109/ICIP.2014.7025655"]}, {"id": "b8b11f3b458233a104fbacd3091da9c67f5ca5ed", "title": "Learning Chained Deep Features and Classifiers for Cascade in Object Detection", "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/1702.07054.pdf"], "doi": []}, {"id": "c1d1b1197667facd360196059796ab8cb7b46e96", "title": "PolyMapper: Extracting City Maps using Polygons", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01497.pdf"], "doi": []}, {"id": "ce43209fc68e51ef05fa06cc0fe6210cbd021e3f", "title": "Fused One-vs-All Features With Semantic Alignments for Fine-Grained Visual Categorization", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"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"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://min.sjtu.edu.cn/files%5Cpapers%5C2016%5CJournal%5C2016-TIP-CV-ZHANGXIAOPENG%5C2016-TIP-CV-02.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358138", "http://doi.org/10.1109/TIP.2015.2509425", "https://www.ncbi.nlm.nih.gov/pubmed/26685247", "https://www.wikidata.org/entity/Q38398268"]}, {"id": "4268dc438d81c9f143edb9097923709b2e7a18ca", "title": "Does Haze Removal Help CNN-based Image Classification?", "addresses": [{"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}, {"name": "Tianjin University", "source_name": "Tianjin University", "street_adddress": "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "lat": "36.20304395", "lng": "117.05842113", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.05716.pdf"], "doi": []}, {"id": "c9abf6cb2d916262425033db12cf0181d40be7cb", "title": "Entropy-based Latent Structured Output Prediction-Supplementary materials", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c9ab/f6cb2d916262425033db12cf0181d40be7cb.pdf"], "doi": []}, {"id": "72a4390a6c3b2bc2c3e7d83fc1f99e65e6137573", "title": "Collective Activity Localization with Contextual Spatial Pyramid", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/72a4/390a6c3b2bc2c3e7d83fc1f99e65e6137573.pdf"], "doi": []}, {"id": "00c8e15cf9cbe9c68fbf00f040a632a37cd944df", "title": "Using image saliency and regions of interest to encourage stronger graphical passwords", "addresses": [{"name": "Florida Institute of Technology", "source_name": "Florida Institute of Technology", "street_adddress": "FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA", "lat": "28.06468880", "lng": "-80.62302200", "type": "edu", "country": "United States"}, {"name": "Institute of Public Administration, Riyadh, Saudi Arabia", "source_name": "Institute of Public Administration, Riyadh, Saudi Arabia", "street_adddress": "Qurah Al Ayn, Ad Dhubbat\u060c Riyadh 12627, Saudi Arabia", "lat": "24.66818300", "lng": "46.72492830", "type": "edu", "country": "Saudi Arabia"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2991108"]}, {"id": "cdeee5eed68e7c8eb06185f7fcb1a072af784886", "title": "Deep Learning for Object Saliency Detection and Image Segmentation", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.01173.pdf"], "doi": []}, {"id": "e1e85d811825ec56205fc0302ed2c86cbb85e10d", "title": "Training Group Orthogonal Neural Networks with Privileged Information", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.06772.pdf"], "doi": []}, {"id": "5983b0c92f2a619157e2bedf15abb97ed1b0b98f", "title": "Computer Vision and Deep Learning for Automated Surveillance Technology", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5983/b0c92f2a619157e2bedf15abb97ed1b0b98f.pdf"], "doi": []}, {"id": "9ad0d957138db7fcad7db77bacfdd5c1c728031c", "title": "Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images", "addresses": [{"name": "Uppsala University", "source_name": "Uppsala University, Uppsala, Sweden", "street_adddress": "Uppsala, 752 36 Uppsala, Sweden", "lat": "59.85090050", "lng": "17.63000930", "type": "edu", "country": "Sweden"}, {"name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "source_name": "Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India", "street_adddress": "Mahatma Gandhi Rd, A-Zone, Durgapur, West Bengal 713209, India", "lat": "23.54767280", "lng": "87.29313890", "type": "edu", "country": "India"}, {"name": "Medical College Kolkata, Kolkata, India", "source_name": "Medical College Kolkata, Kolkata, India", "street_adddress": "88, College St, Calcutta Medical College, College Square, Kolkata, West Bengal 700073, India", "lat": "22.57374630", "lng": "88.36191530", "type": "edu", "country": "India"}, {"name": "University of Hyderabad", "source_name": "University of Hyderabad, Hyderabad, India", "street_adddress": "CUC, Professor CR Rao Rd, P O, Central University, Gachibowli, Hyderabad, Telangana 500046, India", "lat": "17.45673720", "lng": "78.32638400", "type": "edu", "country": "India"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-95921-4_2"]}, {"id": "3ec04a3536007433451a428e090d099c8b2a6add", "title": "Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8bdb/a247b004179b2ac105e41b61ffec57acf7e0.pdf"], "doi": []}, {"id": "02213406b3d7605a6fa08ea0cbcfc52b7cd937a1", "title": "Event-driven dynamic platform selection for power-aware real-time anomaly detection in video", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}, {"name": "Heriot-Watt University", "source_name": "Heriot-Watt University", "street_adddress": "Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295060"]}, {"id": "ab88c48e7829029c47ac6deea5c0ccbff3614c5c", "title": "Rethinking Visual Relationships for High-level Image Understanding", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00313.pdf"], "doi": []}, {"id": "1a1c7ba2ee61c9eba57a21208fd028144dda2ce9", "title": "Double Low Rank Matrix Recovery for Saliency Fusion", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}, {"name": "Nanjing Audit University", "source_name": "Nanjing Audit University, Nanjing, China", "street_adddress": "Gulou, Nanjing, China, 210017", "lat": "32.03902600", "lng": "118.75232100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7506073", "http://doi.org/10.1109/TIP.2016.2588331", "https://www.ncbi.nlm.nih.gov/pubmed/27392360", "https://www.wikidata.org/entity/Q50786987"]}, {"id": "f7dd25ac4f52f23b9c2fa3265c62c030527de53f", "title": "High-Order Distance-Based Multiview Stochastic Learning in Image Classification", "addresses": [{"name": "University of Technology, Australia", "source_name": "Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "Hangzhou Dianzi University", "source_name": "Hangzhou Dianzi University", "street_adddress": "\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66, 2\u53f7\u5927\u8857, \u767d\u6768\u8857\u9053, \u6c5f\u5e72\u533a (Jianggan), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310018, \u4e2d\u56fd", "lat": "30.31255250", "lng": "120.34309460", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6774452", "http://doi.org/10.1109/TCYB.2014.2307862", "https://www.ncbi.nlm.nih.gov/pubmed/25415948", "https://www.wikidata.org/entity/Q50622554"]}, {"id": "0394acc70f58fbb6326d1fbf44e0a6da5a0345d1", "title": "Automated Recognition of Text in Images : A Survey", "addresses": [{"name": "Christ University", "source_name": "Christ University, Bangalore- 560074, India", "street_adddress": "Kengeri Campus Mysore Road Kumbalgodu, Kanmanike, Bengaluru, Karnataka 560074, India", "lat": "12.86303630", "lng": "77.43787070", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0394/acc70f58fbb6326d1fbf44e0a6da5a0345d1.pdf"], "doi": []}, {"id": "81ea29bde0216e41420c4591bebb800142fa3269", "title": "Learning Active Learning from Data", "addresses": [{"name": "University of Bern", "source_name": "University of Bern, Neubr\u00fcckstrasse 10, Bern, Switzerland", "street_adddress": "Hochschulstrasse 6, 3012 Bern, Switzerland", "lat": "46.95048960", "lng": "7.43811900", "type": "edu", "country": "Switzerland"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03365.pdf"], "doi": []}, {"id": "742d5b4590284b632ca043a16507fb5a459dceb2", "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"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "addresses": [{"name": "Maryland Univ., College Park, MD, USA", "source_name": "Maryland Univ., College Park, MD, USA", "street_adddress": "College Park, MD 20742, USA", "lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "a289de92de2503b632efd7acc13080ab026986b7", "title": "Fine-grained object recognition in underwater visual data", "addresses": [{"name": "Aix-Marseille Universit\u00e9, Marseille, France", "source_name": "Aix-Marseille Universit\u00e9, Marseille, France", "street_adddress": "Jardin du Pharo, 58 Boulevard Charles Livon, 13007 Marseille, France", "lat": "43.29362100", "lng": "5.35806600", "type": "edu", "country": "France"}, {"name": "University of Catania", "source_name": "Electronics and Computer Engineering, University of Catania, Catania, Italy", "street_adddress": "Via S. Sofia, 64, 95125 Catania CT, Italy", "lat": "37.52442420", "lng": "15.06991700", "type": "edu", "country": "Italy"}, {"name": "University of Nice Sophia Antipolis", "source_name": "I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France", "street_adddress": "Euclide B, 2000 Route des Lucioles, 06900 Sophia Antipolis, France", "lat": "43.61530240", "lng": "7.06744330", "type": "edu", "country": "France"}, {"name": "Institut Universitaire de France (IUF), Paris, France", "source_name": "Institut Universitaire de France (IUF), Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Toulon, La Garde, France", "source_name": "Universit\u00e9 de Toulon, La Garde, France", "street_adddress": "Avenue de l'Universit\u00e9, 83130 La Garde, France", "lat": "43.13765300", "lng": "6.01454500", "type": "edu", "country": "France"}], "year": "2015", "pdf": ["http://sis.univ-tln.fr/~glotin/Concetto_Glotin_et_SubmarineObjectRecognition_accepted_MTAPjournal_2015.pdf"], "doi": ["http://doi.org/10.1007/s11042-015-2601-x"]}, {"id": "472541ccd941b9b4c52e1f088cc1152de9b3430f", "title": "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "addresses": [{"name": "Technical University Munich", "source_name": "Technical University Munich", "street_adddress": "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "lat": "48.14955455", "lng": "11.56775314", "type": "edu", "country": "Germany"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00197.pdf"], "doi": []}, {"id": "17e997e6f724f8b92c0b91ad5d7f828714a510c6", "title": "Interactive adaptation of real-time object detectors", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "University of Massachusetts at Lowell", "source_name": "EECS, University of Massachusetts at Lowell, Lowell, MA, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}, {"name": "Friedrich Schiller University of Jena", "source_name": "Computer Vision Group, Friedrich Schiller University of Jena, Germany", "street_adddress": "Ernst-Abbe-Platz 2, 07743 Jena, Germany", "lat": "50.92776710", "lng": "11.58217290", "type": "edu", "country": "Germany"}, {"name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "source_name": "International Computer Science Institute (ICSI), Berkeley, CA, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.drgoehring.de/bib/goehring14icra/goehring14icra-slides.pdf", "https://people.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf", "https://www.eecs.berkeley.edu/~jhoffman/papers/Goehring_ICRA2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6907018", "http://doi.org/10.1109/ICRA.2014.6907018"]}, {"id": "451ed51346fe2e6c5de2dbf29733711b31f5fd68", "title": "Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos", "addresses": [{"name": "University of Strasbourg", "source_name": "ICube UMR 7357, CNRS, University of Strasbourg, France", "street_adddress": "4 Rue Kirschleger, 67000 Strasbourg, France", "lat": "48.57744050", "lng": "7.73929500", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05573.pdf"], "doi": []}, {"id": "f8f14c0248a4974ce9a6226db81f9745a6b1ea97", "title": "Part based pedestrian detection based on Logic inference", "addresses": [{"name": "Universidad Carlos III de Madrid", "source_name": "Departamento de estad\u00edstica, Universidad Carlos III de Madrid, Barcelona, Spain", "street_adddress": "Calle Madrid, 126, 28903 Getafe, Madrid, Spain", "lat": "40.31705720", "lng": "-3.72746780", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["http://portal.uc3m.es/portal/page/portal/dpto_ing_sistemas_automatica/investigacion/lab_sist_inteligentes_old/publications/2013-ITSC-Olmeda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728421", "http://doi.org/10.1109/ITSC.2013.6728421"]}, {"id": "8339da16dced3343173fc71373012d73c9f59f8d", "title": "Scalable multi-class object detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_HoughMC_cvpr11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995441", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995441", "http://doi.org/10.1109/CVPR.2011.5995441"]}, {"id": "8502c089c9affe5955810073b4c814457790065c", "title": "Learning Single-view 3D Reconstruction of Objects and Scenes", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8502/c089c9affe5955810073b4c814457790065c.pdf"], "doi": []}, {"id": "3b20082bd64d8af4041611434ef23fdef57616a8", "title": "Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks", "addresses": [{"name": "University of Stuttgart", "source_name": "University of Stuttgart", "street_adddress": "P\u00e4dagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-W\u00fcrttemberg, 71634, Deutschland", "lat": "48.90953380", "lng": "9.18318920", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451679", "http://doi.org/10.1109/ICIP.2018.8451679"]}, {"id": "1539add5ea57fb518cb70ca6af253eec3c9d8a6f", "title": "Efficient Object Localization and Segmentation in Weakly Labeled Videos", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1539/add5ea57fb518cb70ca6af253eec3c9d8a6f.pdf"], "doi": []}, {"id": "6f2819172d270ceb568bf7586d812b298266bcbf", "title": "Edge Fields for Robust Object Proposal", "addresses": [{"name": "Samsung Electronics", "source_name": "Samsung Electronics", "street_adddress": "25 The West Mall, Etobicoke, ON M9C 1B8, Canada", "lat": "43.61294840", "lng": "-79.55903030", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6f28/19172d270ceb568bf7586d812b298266bcbf.pdf"], "doi": []}, {"id": "70cb4bdd05cccc1f99cf690582e66b7637b81da7", "title": "MBLLEN: Low-Light Image/Video Enhancement Using CNNs", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/70cb/4bdd05cccc1f99cf690582e66b7637b81da7.pdf"], "doi": []}, {"id": "f23114073e0e513b1c1c55e8777bda503721718c", "title": "Dissimilarity Coefficient based Weakly Supervised Object Detection", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10016.pdf"], "doi": []}, {"id": "3f320fbdd5054961cc3766dd2b2ee22c4d4abe01", "title": "Robust object tracking via weight-based local sparse appearance model", "addresses": [{"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}, {"name": "Hunan City University", "source_name": "Hunan city University, Yiyang, China", "street_adddress": "Heshan, Yiyang, China", "lat": "28.54005500", "lng": "112.38758100", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7603234", "http://doi.org/10.1109/FSKD.2016.7603234"]}, {"id": "d68a6bf394f8f6440426a84d8494e83d08aa1535", "title": "Automatic Portrait Segmentation for Image Stylization", "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": "2016", "pdf": ["http://xiaoyongshen.me/webpage_portrait/papers/portrait_eg16.pdf"], "doi": ["https://doi.org/10.1111/cgf.12814"]}, {"id": "19d4855f064f0d53cb851e9342025bd8503922e2", "title": "Learning SURF Cascade for Fast and Accurate Object Detection", "addresses": [{"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}], "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d468.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/supp/4989d468s1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf", "https://16cbeb23-a-62cb3a1a-s-sites.googlegroups.com/site/leeplus/publications/learningsurfcascadeforfastandaccurateobjectdetection/cvsurf13.pdf?attachauth=ANoY7cprgGHyp0x1H24zmTyefmyqoRoMJFJxg9j-BM6Rh9vToSM_0gtVNgtcm7pgFG_yr6TS1gMJe7AEGilvP9MEizPWXUkP-NHn4b6wB49ETjP5XUJo93ObOe7SWdAUiCTeHWGdjA3aFjtBPOiSWteKMqeMeteYqnVW7e3NpALb8cnhR4TFfbcT82NKsxTv_XgJNenB-1UGij2Ayg0COitzW-6AVpls1e5yGDCdzMc-Ij8VgOxAWfLbiKzodL1hmPHLsrT4yM_cXV3B0vgpjQSmVzNgViA1s5cANrI-EjUTpxRczBT_RIA%3D&attredirects=3&d=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619289", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.445", "http://doi.org/10.1109/CVPR.2013.445"]}, {"id": "37a5f93048cbfb74d122455531b4bc4f6e15d48f", "title": "Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System", "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"}, {"name": "Guizhou University", "source_name": "Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China", "street_adddress": "Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025", "lat": "26.42408400", "lng": "106.67353400", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/37a5/f93048cbfb74d122455531b4bc4f6e15d48f.pdf"], "doi": []}, {"id": "4be211df856e2fc0d999598ba6561a22e65997b6", "title": "Object proposal using 3D point cloud for DRC-HUBO+", "addresses": [{"name": "KAIST", "source_name": "KAIST", "street_adddress": "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "lat": "36.37214270", "lng": "127.36039000", "type": "edu", "country": "South Korea"}, {"name": "Naver Labs, Seongnam, 13561, Korea", "source_name": "Naver Labs, Seongnam, 13561, Korea", "street_adddress": "8 Gumi-ro, Gumi-dong, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", "lat": "37.33772020", "lng": "127.10965330", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7759113", "http://doi.org/10.1109/IROS.2016.7759113"]}, {"id": "965bf5726891428a2af6922ead4779c0a1331392", "title": "Image categorization using a semantic hierarchy model with sparse set of salient regions", "addresses": [{"name": "Soochow University", "source_name": "Soochow University", "street_adddress": "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "lat": "31.30709510", "lng": "120.63573987", "type": "edu", "country": "China"}, {"name": "Second Hospital of Nanjing, Nanjing, China", "source_name": "The Second Hospital of Nanjing, Nanjing, China", "street_adddress": "1 Zhongfu Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028", "lat": "32.08824580", "lng": "118.76893790", "type": "edu", "country": "China"}], "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-013-2410-1"]}, {"id": "9825c4dddeb2ed7eaab668b55403aa2c38bc3320", "title": "Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings", "addresses": [{"name": "University of Tokyo", "source_name": "University of Tokyo", "street_adddress": "\u6771\u4eac\u5927\u5b66 \u67cf\u30ad\u30e3\u30f3\u30d1\u30b9, \u5b66\u878d\u5408\u306e\u9053, \u67cf\u5e02, \u5343\u8449\u770c, \u95a2\u6771\u5730\u65b9, 277-8583, \u65e5\u672c", "lat": "35.90204480", "lng": "139.93622009", "type": "edu", "country": "Japan"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09532.pdf"], "doi": []}, {"id": "fa99cb089559566a4cc04fd5c1423fc1ee3791b4", "title": "Divide and Count: Generic Object Counting by Image Divisions", "addresses": [{"name": "Delft University of Technology", "source_name": "Delft University of Technology", "street_adddress": "TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland", "lat": "51.99882735", "lng": "4.37396037", "type": "edu", "country": "Netherlands"}, {"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8488575", "http://doi.org/10.1109/TIP.2018.2875353", "https://www.ncbi.nlm.nih.gov/pubmed/30307867"]}, {"id": "108961c7366e36825ffed94ac9eab603e05b6bc6", "title": "Deep Visual-Semantic Alignments for Generating Image Descriptions", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.2306.pdf"], "doi": []}, {"id": "1b79c2e3816eead394145f2f1d12d3314431a035", "title": "Local structured representation for generic object 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"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-016-5530-6"]}, {"id": "e103a8992a9eab5c2a5e8072a0cff7f5b68959a2", "title": "Robust person head detection based on multi-scale representation fusion of deep convolution neural network", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8324433", "http://doi.org/10.1109/ROBIO.2017.8324433"]}, {"id": "32bc9334ad0edaec29540320b9f00c9a7aab81f8", "title": "Zero-Shot Object Detection", "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"}, {"name": "SRI International", "source_name": "SRI International", "street_adddress": "SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA", "lat": "37.45857960", "lng": "-122.17560525", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04340.pdf"], "doi": []}, {"id": "e816e2bdcfc7a93355ec3f8f336bf2b05ac98b21", "title": "Locality constrained low-rank sparse learning for object tracking", "addresses": [{"name": "Nanjing University of Posts and Telecommunications", "source_name": "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "street_adddress": "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "lat": "32.10574800", "lng": "118.93170100", "type": "edu", "country": "China"}, {"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7287991"]}, {"id": "36bce8938ce499ee1ec5783a37de6dcfaff53f5c", "title": "High-speed railway catenary components detection using the cascaded convolutional neural networks", "addresses": [{"name": "Southwest Jiaotong University", "source_name": "Southwest Jiaotong University", "street_adddress": "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "lat": "30.69784700", "lng": "104.05208110", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261459"]}, {"id": "80ab008243b5a61c8a74a0a3e2aaf702b1f906b3", "title": "Ship detection for automating navigational watch", "addresses": [{"name": "Tokyo University of Marine Science and Technology", "source_name": "Tokyo University of Marine Science and Technology, Japan", "street_adddress": "4 Chome-5-\uff17 Konan, Minato, Tokyo 108-8477, Japan", "lat": "35.62697170", "lng": "139.74764520", "type": "edu", "country": "Japan"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6935702"]}, {"id": "ab781f035720d991e244adb35f1d04e671af1999", "title": "Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition", "addresses": [{"name": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": ["https://arxiv.org/pdf/1712.07465.pdf"], "doi": []}, {"id": "e41876930495ee879b0d1cda9a85f82102884b17", "title": "Robotic arm control by fine-tuned convolutional neural network model", "addresses": [{"name": "Istanbul Teknik Universitesi", "source_name": "Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye", "street_adddress": "\u0130n\u00f6n\u00fc Caddesi, No. 65, G\u00fcm\u00fc\u015fsuyu, 34437 Beyo\u011flu/\u0130stanbul, Turkey", "lat": "41.03790740", "lng": "28.99212370", "type": "edu", "country": "Turkey"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960444", "http://doi.org/10.1109/SIU.2017.7960444"]}, {"id": "4c6421fab6f7be06f4b2a8d558dceb3ccf9426da", "title": "Fast , Deep Detection and Tracking of Birds & Nests", "addresses": [{"name": "University of Delaware", "source_name": "University of Delaware", "street_adddress": "University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA", "lat": "39.68103280", "lng": "-75.75401840", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4c64/21fab6f7be06f4b2a8d558dceb3ccf9426da.pdf"], "doi": []}, {"id": "7d98e98e64f2622d321bd3b410a4636fce39be50", "title": "Self-Paced Cross-Modal Subspace Matching", "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": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2911527"]}, {"id": "cf8a0a9310b3c30003b65ec62fa92d8ee672f40b", "title": "Acquiring Object Experiences at Scale", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/f168/38c9f08b5e0fc3e7495b99f721f90ea6baba.pdf"], "doi": []}, {"id": "b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01", "title": "Vehicle detection and localization on bird's eye view elevation images using convolutional neural network", "addresses": [{"name": "National Cheng Kung University", "source_name": "National Cheng Kung University", "street_adddress": "\u6210\u5927, 1, \u5927\u5b78\u8def, \u5927\u5b78\u91cc, \u524d\u7532, \u6771\u5340, \u81fa\u5357\u5e02, 70101, \u81fa\u7063", "lat": "22.99919160", "lng": "120.21625134", "type": "edu", "country": "Taiwan"}, {"name": "Tohoku University", "source_name": "Tohoku University", "street_adddress": "Tohoku University, \u4e94\u6a4b\u901a, \u9752\u8449\u533a, \u4ed9\u53f0\u5e02, \u5bae\u57ce\u770c, \u6771\u5317\u5730\u65b9, 980-0811, \u65e5\u672c", "lat": "38.25309450", "lng": "140.87365930", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8088147", "http://doi.org/10.1109/SSRR.2017.8088147"]}, {"id": "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "title": "Recognition in Terra Incognita", "addresses": [{"name": "Caltech", "source_name": "California Inst. of Technol., Pasadena, CA, USA", "street_adddress": "1200 E California Blvd, Pasadena, CA 91125, USA", "lat": "34.13765760", "lng": "-118.12526900", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04975.pdf"], "doi": []}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "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": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "http://www.cs.cmu.edu/~dfouhey/2016/shapeAttr/talk_final.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2016/Fouhey16/fouhey16.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/talk_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780537", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.168", "http://doi.org/10.1109/CVPR.2016.168"]}, {"id": "dccd5d00f88cdb59b0680baa86024f14331c38d6", "title": "Semantic mapping of road scenes", "addresses": [{"name": "Oxford Brookes University", "source_name": "Oxford Brookes University", "street_adddress": "Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK", "lat": "51.75552050", "lng": "-1.22615970", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dccd/5d00f88cdb59b0680baa86024f14331c38d6.pdf"], "doi": []}, {"id": "0a81e5c6429a85564ba742726850109ae07dd24c", "title": "Perceptually Inspired Layout-Aware Losses for Image Segmentation", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0a81/e5c6429a85564ba742726850109ae07dd24c.pdf"], "doi": []}, {"id": "a22a8c93ae4ed518c894a8ddb348a9d0a99c1387", "title": "Deep Learning Logo Detection with Data Expansion by Synthesising Context", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.09322.pdf"], "doi": []}, {"id": "8fc3051fa78a325454c739dce3e7b77b5bf9de78", "title": "Object Detection and Its Implementation on Android Devices", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8fc3/051fa78a325454c739dce3e7b77b5bf9de78.pdf"], "doi": []}, {"id": "e55f2e7f72ab8f5ad0c0372651f35702c9d54351", "title": "Efficient object detection and segmentation with a cascaded Hough Forest ISM", "addresses": [{"name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "source_name": "ESAT-PSI / IBBT, K.U. Leuven, Belgium", "street_adddress": "Kasteelpark Arenberg 10, 3001 Leuven, Belgium", "lat": "50.86208950", "lng": "4.68589230", "type": "edu", "country": "Belgium"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["http://europa.informatik.uni-freiburg.de/files/rematas2011corp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130356", "http://doi.org/10.1109/ICCVW.2011.6130356"]}, {"id": "bb1df923eff58177f20b2cf46318a31aa7e89143", "title": "Viewpoint-aware object detection and pose estimation", "addresses": [{"name": "Weizmann Institute of Science", "source_name": "Weizmann Institute of Science", "street_adddress": "\u05de\u05db\u05d5\u05df \u05d5\u05d9\u05e6\u05de\u05df \u05dc\u05de\u05d3\u05e2, \u05e9\u05d3\u05e8\u05ea \u05de\u05e8\u05db\u05d5\u05e1 \u05d6\u05d9\u05d5, \u05de\u05e2\u05d5\u05e0\u05d5\u05ea \u05e9\u05d9\u05d9\u05df, \u05d0\u05d7\u05d5\u05d6\u05d5\u05ea \u05d4\u05e0\u05e9\u05d9\u05d0, \u05e8\u05d7\u05d5\u05d1\u05d5\u05ea, \u05de\u05d7\u05d5\u05d6 \u05d4\u05de\u05e8\u05db\u05d6, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "31.90784990", "lng": "34.81334092", "type": "edu", "country": "Israel"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126379"]}, {"id": "121503705689f46546cade78ff62963574b4750b", "title": "We Don\u2019t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.08405.pdf"], "doi": []}, {"id": "af7310abcbac6b43ffa850be2315282185b933bc", "title": "Detection and recognition of traffic signs inside the attentional visual field of drivers", "addresses": [{"name": "Western University", "source_name": "Western University, London, ON, N6A 5B7, Canada", "street_adddress": "1151 Richmond St, London, ON N6A 3K7, Canada", "lat": "43.00959710", "lng": "-81.27373360", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995781", "http://doi.org/10.1109/IVS.2017.7995781", "https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=6143&context=etd"]}, {"id": "e644867bc141453d1f0387c76ff5e7f7863c5f4f", "title": "Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}, {"name": "POSTECH, Korea", "source_name": "POSTECH, Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10464.pdf"], "doi": []}, {"id": "e047bcb9721c36fb61df1f4d6f7de83f290ec1d4", "title": "Flower classification: Training augmentation using manifold images", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7358870", "http://doi.org/10.1109/URAI.2015.7358870"]}, {"id": "0083a395fded81d562317d83e194dfbc47b5c04a", "title": "AT&T Research at TRECVID 2010", "addresses": [{"name": "University Park", "source_name": "Pennsylvania State University, University Park, 16802, USA", "street_adddress": "PENN ST UNIV, PA 16802, USA", "lat": "40.80840750", "lng": "-77.86388350", "type": "edu", "country": "United States"}], "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/955f/e9a0ba02d82e469c5e719bbde9a5f14a3d32.pdf"], "doi": []}, {"id": "95a1d94880f3466e62cb5e0947e041aba6d02456", "title": "Sparse coding based airport detection from medium resolution Landsat-7 satellite remote sensing images", "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"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6927883"]}, {"id": "30654fd93360a339e271d4b194b7f7463b2c5dac", "title": "COSTA: Co-Occurrence Statistics for Zero-Shot Classification", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Mensink_COSTA_Co-Occurrence_Statistics_2014_CVPR_paper.pdf", "https://computing.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://filebox.ece.vt.edu/~parikh/PnA2014/slides/mensink.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2014/MensinkCVPR2014/MensinkCVPR2014.pdf", "https://pure.uva.nl/ws/files/17209170/MensinkCVPR2014.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/mensink14cvpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909709", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.313", "http://doi.org/10.1109/CVPR.2014.313"]}, {"id": "fa11e3517ed9b08ca1d0dcca2cc5bc3a6ada9fcb", "title": "The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics", "addresses": [{"name": "University of Applied Sciences Western Switzerland", "source_name": "Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland", "street_adddress": "Fili\u00e8re Economie d'entreprise, Case postale 80, Rue de la Plaine 2, 3960 Sierre, Switzerland", "lat": "46.29278120", "lng": "7.53618900", "type": "edu", "country": "Switzerland"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7320041", "http://doi.org/10.1109/EMBC.2015.7320041", "https://www.ncbi.nlm.nih.gov/pubmed/26737941", "https://www.wikidata.org/entity/Q40136711"]}, {"id": "6941b32d99ddf46e9ccea39a5a32d2133801fabb", "title": "Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network", "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": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6941/b32d99ddf46e9ccea39a5a32d2133801fabb.pdf"], "doi": []}, {"id": "02d9d571980ec2f8d28011a5ad33820d3585755b", "title": "Understanding CNN via deep features analysis", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8282184", "http://doi.org/10.1109/APSIPA.2017.8282184"]}, {"id": "1bb0dd8d349cdb1bbc065f1f0e111a8334072257", "title": "Structured Output Learning with High Order Loss Functions", "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": "2012", "pdf": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12a.pdf", "http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a/tarlow12aSupple.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2012_TarlowZ12.pdf", "http://proceedings.mlr.press/v22/tarlow12a/tarlow12aSupple.pdf", "http://www.cs.toronto.edu/~dtarlow/tarlow_zemel_aistats12.pdf"], "doi": ["http://jmlr.csail.mit.edu/proceedings/papers/v22/tarlow12a.html"]}, {"id": "6341274aca0c2977c3e1575378f4f2126aa9b050", "title": "A multi-scale cascade fully convolutional network face detector", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03536.pdf"], "doi": []}, {"id": "282cee05661a690aa525f21b47c6ee39fb26a7c2", "title": "Build a Robust Learning Feature Descriptor by Using a New Image Visualization Method for Indoor Scenario Recognition", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/282c/ee05661a690aa525f21b47c6ee39fb26a7c2.pdf"], "doi": []}, {"id": "182c91f619e0b7a8cd2120139d530750aa0b85a7", "title": "Compressing the Input for CNNs with the First-Order Scattering Transform", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10200.pdf"], "doi": []}, {"id": "886674a5abae3c9bfd262006c67d4ba078e1462b", "title": "A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition", "addresses": [{"name": "Chonbuk National University", "source_name": "Chonbuk National University", "street_adddress": "\uc804\ubd81\ub300\ud559\uad50, 567, \ubc31\uc81c\ub300\ub85c, \uae08\uc554\ub3d9, \ub355\uc9c4\uad6c, \uc804\uc8fc\uc2dc, \uc804\ubd81, 54896, \ub300\ud55c\ubbfc\uad6d", "lat": "35.84658875", "lng": "127.13501330", "type": "edu", "country": "South Korea"}, {"name": "Mokpo National University", "source_name": "Mokpo National University, Republic of Korea", "street_adddress": "1666 Yeongsan-ro, Cheonggye-myeon, Muan, Jeollanam-do, South Korea", "lat": "34.91041940", "lng": "126.43608070", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8866/74a5abae3c9bfd262006c67d4ba078e1462b.pdf"], "doi": []}, {"id": "013d5325e1225456de011bee0f45c5bfec872e9d", "title": "ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition", "addresses": [{"name": "Chalearn, Berkeley, California, USA", "source_name": "Chalearn, Berkeley, California, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}, {"name": "Computer Vision Center (UAB), Spain", "source_name": "Computer Vision Center (UAB), Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona - CVC, Spain", "source_name": "Universitat de Barcelona - CVC, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}, {"name": "Universitat de Barcelona, Spain", "source_name": "Universitat de Barcelona, Spain", "street_adddress": "Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain", "lat": "41.38660800", "lng": "2.16402000", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W09/papers/Baro_ChaLearn_Looking_at_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301329", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301329", "http://doi.org/10.1109/CVPRW.2015.7301329"]}, {"id": "51f5e7b847e65a4cd0634ed9efc6b19819742b70", "title": "End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images", "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"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/51f5/e7b847e65a4cd0634ed9efc6b19819742b70.pdf"], "doi": []}, {"id": "9974ff5429696e815a3c1532577ff4c233b22490", "title": "A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation", "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": "Tencent AI Laboratory, Shenzhen, China", "source_name": "Tencent AI Laboratory, Shenzhen, 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": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371617", "http://doi.org/10.1109/LSP.2018.2844097"]}, {"id": "fe7ae13bf5fc80cf0837bacbe44905bd8749f03f", "title": "Deep Coupled Metric Learning for Cross-Modal Matching", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Deep%20coupled%20metric%20learning%20for%20cross-modal%20matching.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801952", "http://doi.org/10.1109/TMM.2016.2646180"]}, {"id": "062723093e77d942471a77f1a89614d05216a275", "title": "DAVE: A Unified Framework for Fast Vehicle Detection and Annotation", "addresses": [{"name": "Northumbria University", "source_name": "Northumbria University", "street_adddress": "Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04564.pdf"], "doi": []}, {"id": "62ee1385725c508cdb64a8318d2e07bddf8b5832", "title": "Shape-based Image Correspondence", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/62ee/1385725c508cdb64a8318d2e07bddf8b5832.pdf"], "doi": []}, {"id": "309e17462a9cd4ebd540b4218600e97b688c3779", "title": "Mouse Behavior Recognition with The Wisdom of", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6185/5e2eb545c227aeced67d2c1e71e3211c3e0c.pdf"], "doi": []}, {"id": "8043117df3fab932c715f2361f1a8bf0f45755dc", "title": "Efficient Correlation Tracking via Center-Biased Spatial Regularization", "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"}, {"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8434348", "http://doi.org/10.1109/TIP.2018.2865278", "https://www.ncbi.nlm.nih.gov/pubmed/30106730"]}, {"id": "d49bd0ae6f7c85331f06bbcc36088c621a17922b", "title": "CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}], "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-014-0236-5"]}, {"id": "0ab65b963f8b71e31bfec188056023147f75303e", "title": "SPNet: Superpixel Pyramid Network for Scene Parsing", "addresses": [{"name": "Beijing University of Technologyy", "source_name": "Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China", "street_adddress": "Chaoyang, China, 100124", "lat": "39.87161100", "lng": "116.47952900", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623025"]}, {"id": "3e64282d305b77b39b02e820cfcba2f1e5544793", "title": "Boosted multi-class object detection with parallel hardware implementation for real-time applications", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}], "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p7580-chiu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6855064", "http://doi.org/10.1109/ICASSP.2014.6855064"]}, {"id": "2c03ba51f7404d8d9869a997a00f6af801149ac1", "title": "Adaptive spatio-temporal context learning for visual target tracking", "addresses": [{"name": "Sharif University of Technology", "source_name": "Sharif University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0634\u0631\u06cc\u0641, \u062e\u06cc\u0627\u0628\u0627\u0646 \u0622\u0632\u0627\u062f\u06cc, \u0632\u0646\u062c\u0627\u0646, \u0645\u0646\u0637\u0642\u0647 \u06f9 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, 14588, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70362270", "lng": "51.35125097", "type": "edu", "country": "Iran"}, {"name": "Yazd University", "source_name": "Yazd University, Iran", "street_adddress": "Yazd Province, Yazd, Safaeih\u060c Iran", "lat": "31.83409280", "lng": "54.35699650", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8342331"]}, {"id": "895c5a6f2915d95d518e78d6a0224dad7399492b", "title": "Beyond Bounding Boxes: Precise Localization of Objects in Images", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b43d/d1c7c058831ba3f242997e7743425325b0bd.pdf"], "doi": []}, {"id": "02b6acd8d1f2a5833a29b52766776fd70b3dbb56", "title": "Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels", "addresses": [{"name": "Nokia Technologies, Tampere, Finland", "source_name": "Nokia Technologies, Tampere, Finland", "street_adddress": "Tampere, Finland", "lat": "61.49775240", "lng": "23.76095350", "type": "edu", "country": "Finland"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09558.pdf"], "doi": []}, {"id": "428f087b10141cbd4d827b1df734ace473548e87", "title": "SRIKANTHA , GALL : HUMAN POSE AS CONTECT FOR OBJECT DETECTION 3 3 Object Detection", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/428f/087b10141cbd4d827b1df734ace473548e87.pdf"], "doi": []}, {"id": "9bd9050c53d90dfa86cb22501812afe6fc897406", "title": "Fine-Grained and Layered Object Recognition", "addresses": [{"name": "Xi'an Jiaotong University", "source_name": "Xi'an Jiaotong University", "street_adddress": "\u897f\u5b89\u4ea4\u901a\u5927\u5b66\u5174\u5e86\u6821\u533a, \u6587\u6cbb\u8def, \u4e50\u5c45\u573a, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710048, \u4e2d\u56fd", "lat": "34.24749490", "lng": "108.97898751", "type": "edu", "country": "China"}, {"name": "Kyoto University", "source_name": "Kyoto University", "street_adddress": "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "lat": "35.02749960", "lng": "135.78154513", "type": "edu", "country": "Japan"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9bd9/050c53d90dfa86cb22501812afe6fc897406.pdf"], "doi": []}, {"id": "d0c1cdb4ac772026d6c87a132a6a11a15c91d7a8", "title": "Augmented Kernel Matrix vs Classifier Fusion for Object Recognition", "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"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/eabc/91ea4dccd1850ce0e38f0c379770bd411a18.pdf"], "doi": []}, {"id": "23a44db65ff4913289a3a93fb8c85072ae9d007e", "title": "Biologically Inspired Media Quality Modeling", "addresses": [{"name": "Hefei University of Technology", "source_name": "Hefei University of Technology", "street_adddress": "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "lat": "31.84691800", "lng": "117.29053367", "type": "edu", "country": "China"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806255"]}, {"id": "f852d7ff0b1ade73fdb2dc43578cf414a6c57cab", "title": "Deep learning on small datasets using online image search", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2948633"]}, {"id": "e84973cf0337de616f394df06087989a75a0df3e", "title": "ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09585.pdf"], "doi": []}, {"id": "3e0a1884448bfd7f416c6a45dfcdfc9f2e617268", "title": "Understanding and Controlling User Linkability in Decentralized Learning", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05838.pdf"], "doi": []}, {"id": "2d5589ad3a228670eac7251b6508cb326793051c", "title": "A comparison of late fusion methods for object detection", "addresses": [{"name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "source_name": "Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany", "street_adddress": "Sandtorstra\u00dfe 22, 39106 Magdeburg, Germany", "lat": "52.13925980", "lng": "11.65195280", "type": "company", "country": "Germany"}], "year": "2013", "pdf": ["http://www2.informatik.hu-berlin.de/~knauer/Publikationen/knauer2013c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738679", "http://doi.org/10.1109/ICIP.2013.6738679"]}, {"id": "f678f31e7bb5eda34098b0fed608cfad5e372509", "title": "Discriminative Kernel Feature Extraction and Learning for Object Recognition and Detection", "addresses": [{"name": "Southeast University", "source_name": "Southeast University", "street_adddress": "SEU, \u4f53\u80b2\u9986\u8def, \u65b0\u8857\u53e3, \u6708\u5b63\u56ed, \u7384\u6b66\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210008, \u4e2d\u56fd", "lat": "32.05752790", "lng": "118.78682252", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f678/f31e7bb5eda34098b0fed608cfad5e372509.pdf"], "doi": []}, {"id": "df0e280cae018cebd5b16ad701ad101265c369fa", "title": "Deep Attributes from Context-Aware Regional Neural Codes", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Intel Labs China", "source_name": "Intel Laboratory China, Beijing, China", "street_adddress": "Haidian, Beijing, China, 100086", "lat": "39.96624400", "lng": "116.32700390", "type": "company", "country": "China"}, {"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.02470.pdf"], "doi": []}, {"id": "b1f9657ad8033bca6f25a7aef019a1cb45b75ce2", "title": "High performance and fast object detection in road environments", "addresses": [{"name": "DGIST", "source_name": "DGIST", "street_adddress": "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "lat": "35.70528600", "lng": "128.45710200", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8310148", "http://doi.org/10.1109/IPTA.2017.8310148"]}, {"id": "2f98d667cdd7e59fd3f2de638bb286d6250c8900", "title": "Weakly Supervised One-Shot Detection with Attention Similarity Networks", "addresses": [{"name": "University of Augsburg", "source_name": "Multimedia Computing Lab, University of Augsburg, Germany", "street_adddress": "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "lat": "48.33282440", "lng": "10.89656160", "type": "edu", "country": "Germany"}, {"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03329.pdf"], "doi": []}, {"id": "392589e60f203b19b1d314ff1005182a668c594b", "title": "Learning Joint Multimodal Representation with Adversarial Attention Networks", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240614"]}, {"id": "66586f1d755362f485f25acfc60153c2a5ed1533", "title": "A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images", "addresses": [{"name": "University of Norway", "source_name": "University of Norway, P.O. Box 114 Blindern, NO-0314, Troms\u00d8, Norway", "street_adddress": "Troms\u00f8, Norway", "lat": "69.64920470", "lng": "18.95532390", "type": "edu", "country": "Norway"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8518533", "http://doi.org/10.1109/IGARSS.2018.8518533"]}, {"id": "775461c0ed08a24cdaeca8975fadfc9846d509fe", "title": "Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild", "addresses": [{"name": "University of Bristol", "source_name": "University of Bristol", "street_adddress": "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "lat": "51.45848370", "lng": "-2.60977520", "type": "edu", "country": "United Kingdom"}, {"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}, {"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.04042.pdf"], "doi": []}, {"id": "3af130e2fd41143d5fc49503830bbd7bafd01f8b", "title": "How Do We Evaluate the Quality of Computational Editing Systems", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": []}, {"id": "2851efe83633a1c80272ba2c9302a1333dd32523", "title": "Understanding and localizing activities from correspondences of clustered trajectories", "addresses": [{"name": "Universit\u00e0 degli Studi di Firenze", "source_name": "Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy", "street_adddress": "Via di Santa Marta, 3, 50139 Firenze FI, Italy", "lat": "43.79849010", "lng": "11.25302550", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://www.micc.unifi.it/wp-content/uploads/2017/01/1-s2.0-S1077314216301965-main.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.11.007"]}, {"id": "094f5e36dae2602e179f2c1d95a616df3dbe967f", "title": "Bilinear classifiers for visual recognition", "addresses": [{"name": "University of California at Irvine", "source_name": "Computational Vision Group, University of California at Irvine, Irvine, CA, USA", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/094f/5e36dae2602e179f2c1d95a616df3dbe967f.pdf"], "doi": []}, {"id": "7791ce332eb0e9b5e1f839c62a9b8cf5bfd51110", "title": "Local Image Descriptor: Modern Approaches", "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-662-49173-7"]}, {"id": "da53cd51d9d4d047f10144233ad925133ad43207", "title": "Multimodal Social Media Analysis for Gang Violence Prevention", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}, {"name": "University of Turin", "source_name": "University of Turin, Turin, Italy", "street_adddress": "Via Giuseppe Verdi, 8, 10124 Torino TO, Italy", "lat": "45.06942800", "lng": "7.68890060", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08465.pdf"], "doi": []}, {"id": "6125d2156bea099a0c3d23812b1db0a4404ca0bc", "title": "Crowd Saliency Detection via Global Similarity Structure", "addresses": [{"name": "University of Malaya, Kuala Lumpur", "source_name": "University of Malaya", "street_adddress": "UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia", "lat": "3.12267405", "lng": "101.65356103", "type": "edu", "country": "Malaysia"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.3756.pdf"], "doi": []}, {"id": "c11a2501204e9e7c4a53d8a3c87055b2b11c73df", "title": "Adaptive Learning Algorithms for Transferable Visual Recognition", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c11a/2501204e9e7c4a53d8a3c87055b2b11c73df.pdf"], "doi": []}, {"id": "c55f15ffdd01c526624626ea94ae90263ee86fee", "title": "Multi-sensors people detection system for heavy machines", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957798", "http://doi.org/10.1109/ITSC.2014.6957798"]}, {"id": "e8def76dd702df44b0e1af7dbc0360bb7ef14562", "title": "Rendering Physically Correct Raindrops on Windshields for Robustness Verification of Camera-based Object Recognition", "addresses": [{"name": "University of T\u00fcbingen", "source_name": "University of T\u00fcbingen", "street_adddress": "Geschwister-Scholl-Platz, 72074 T\u00fcbingen, Germany", "lat": "48.52947820", "lng": "9.04377400", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500494", "http://doi.org/10.1109/IVS.2018.8500494"]}, {"id": "838420cebfdad4e93221f8fe203c09155983141a", "title": "Subspace Alignment Based Domain Adaptation for RCNN Detector", "addresses": [{"name": "IIT Kanpur", "source_name": "IIT Kanpur", "street_adddress": "Kalyanpur, Kanpur, Uttar Pradesh 208016, India", "lat": "26.51233880", "lng": "80.23290000", "type": "edu", "country": "India"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.05578.pdf"], "doi": []}, {"id": "748305f0b2d686d51ccf893207697d6cfb39e890", "title": "COVER LOCALIZATION IN AERIAL IMAGES WITH A DEEP LEARNING APPROACH", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7483/05f0b2d686d51ccf893207697d6cfb39e890.pdf"], "doi": []}, {"id": "15c820aea3dba1902485f34f635e13f69204e501", "title": "Object tracking using 2DLPP manifold learning", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6915971"]}, {"id": "5c7964b57fcac612dc18e27e18f98eeba9404707", "title": "Fusing visual and range imaging for object class recognition", "addresses": [{"name": "General Motors Advanced Technical Center, Herzliya, Israel", "source_name": "General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel", "street_adddress": "46733, HaMada St 7, Herzliya, Israel", "lat": "32.16659230", "lng": "34.81274680", "type": "company", "country": "Israel"}, {"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": "2011", "pdf": ["http://www.researchgate.net/profile/Aharon_Bar_hillel/publication/221109977_Fusing_visual_and_range_imaging_for_object_class_recognition/links/0fcfd505985047018a000000.pdf", "https://740f0a9b-a-62cb3a1a-s-sites.googlegroups.com/site/aharonbarhillel/Fusion_ICCV2011.pdf?attachauth=ANoY7cqh0aiOE_NJSnkxPUgHiRXPjpmSRFaM58Kcrv56pJaVZRwlMwoboaMbJIxNA9dagRkz2dr74VkTYs4gr1yjZgW5fMUZOMbTyOYU1DG4V5tef3xzTOLTVoQDVlBNeN8zVX3UCCijr73jsm77aRBdXo6Bwj7axlN5UbiT6O-wjDLLm4BMGxRm-yyGXisuz8Fz96C89JQV3SEPWqJphcRyUTmW_07W-EVPEK3sJp288fQ4JyySGKE%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126226", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126226", "http://doi.org/10.1109/ICCV.2011.6126226"]}, {"id": "cc6983184d5a1ae077deab222ecd381cd44410ea", "title": "Adaptive visual tracking with reacquisition ability for arbitrary objects", "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": "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": "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": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631254", "http://doi.org/10.1109/ICRA.2013.6631254"]}, {"id": "263ab80451b236c27675ca4c6aff5c72fef77f4b", "title": "ExFuse: Enhancing Feature Fusion for Semantic Segmentation", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03821.pdf"], "doi": []}, {"id": "51a09f0305a0cdd48ccaac070363c71bc2c49938", "title": "Improving public datasets markings' quality using unsupervised refinement kernels", "addresses": [{"name": "University Politehnica of Bucharest", "source_name": "University Politehnica of Bucharest", "street_adddress": "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "lat": "44.43918115", "lng": "26.05044565", "type": "edu", "country": "Romania"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3205862"]}, {"id": "f6e00d6430cbbaa64789d826d093f7f3e323b082", "title": "Visual Object Recognition", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}, {"name": "RWTH Aachen University", "source_name": "RWTH Aachen University", "street_adddress": "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "lat": "50.77917030", "lng": "6.06728733", "type": "edu", "country": "Germany"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5255/490925aa1e01ac0b9a55e93ec8c82efc07b7.pdf"], "doi": []}, {"id": "f8a38c8aa9d2f9f2db64fcc98f5b4770551d70f2", "title": "Top-Down Saliency Detection via Contextual Pooling", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese 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": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s11265-013-0768-9"]}, {"id": "b6dc1cd3cabdfea7363d41773a315a0d241dc836", "title": "Local Context Priors for Object Proposal Generation", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b6dc/1cd3cabdfea7363d41773a315a0d241dc836.pdf"], "doi": []}, {"id": "ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083", "title": "Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04606.pdf"], "doi": []}, {"id": "fd80b1b1a3509e616af97a181d82c6cdf7ba4721", "title": "Hierarchical Parsing Net: Semantic Scene Parsing From Global Scene to Objects", "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": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8306891", "http://doi.org/10.1109/TMM.2018.2812600"]}, {"id": "af4759f5e636b5d9049010d5f0e2b0df2a69cd72", "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", "addresses": [{"name": "National University of Singapore & Qihoo 360 AI Institute", "source_name": "National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240509"]}, {"id": "c4fe488c0cff49e1ed6de1425ede27900005fd87", "title": "Multi-scale Location-Aware Kernel Representation for Object Detection", "addresses": [{"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00428.pdf"], "doi": []}, {"id": "5250f319cae32437489bb97b2ed9a1dc962d4d39", "title": "Computational Baby Learning.", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.2861.pdf"], "doi": []}, {"id": "1c8897aaac36c9f96b86b4e6d412e91512429cde", "title": "Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation", "addresses": [{"name": "POSTECH", "source_name": "POSTECH, Pohang 790-784, Republic of Korea", "street_adddress": "77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea", "lat": "36.01388570", "lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04924.pdf"], "doi": []}, {"id": "e70360dec906df73e7de268b801b51296f55471e", "title": "Object detection based on ensemble of exemplars", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7280164"]}, {"id": "e5a0e119ce4925a55910dcf0b5667ab551f8cdf1", "title": "Segmentation Free Object Discovery in Video", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00221.pdf"], "doi": []}, {"id": "3a4c70ca0bbd461fe2e4de3448a01f06c0217459", "title": "Accurate Vision-based Vehicle Localization using Satellite Imagery", "addresses": [{"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.09171.pdf"], "doi": []}, {"id": "3d61a6834371ef08f25f5eeea615808380e109e2", "title": "Robust Visual Tracking Using Exemplar-Based Detectors", "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"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7368904", "http://doi.org/10.1109/TCSVT.2015.2513700"]}, {"id": "0678a8abea82793993cd89383319da75f6dc4be3", "title": "ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "USC", "source_name": "University of Southern California and USC Institute for Creative Technologies", "street_adddress": "12015 E Waterfront Dr, Los Angeles, CA 90094, USA", "lat": "33.98325260", "lng": "-118.40417000", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.03776.pdf"], "doi": []}, {"id": "12017d411ad5db2fce87eee19540ba22dc87bdf1", "title": "People detection in heavy machines applications", "addresses": [{"name": "CETIM", "source_name": "Technical center for the Mechanical Industry (CETIM), France", "street_adddress": "52 Avenue F\u00e9lix Louat, 60300 Senlis, France", "lat": "49.20516300", "lng": "2.60774300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "source_name": "Universit\u00e9 de Technologie de Compi\u00e8gne (UTC), France", "street_adddress": "rue Roger Coutolenc, 60200 Compi\u00e8gne, France", "lat": "49.41522420", "lng": "2.81911440", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c1fb/fe7118c36d76f05b5bfe4a296510d35ec111.pdf", "https://www.researchgate.net/profile/Vincent_Fremont/publication/271462952_People_Detection_in_Heavy_Machines_Applications/links/5536237d0cf268fd00160d5c.pdf?origin=publication_list"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751572", "http://doi.org/10.1109/ICCIS.2013.6751572", "https://hal.archives-ouvertes.fr/hal-00936283/document"]}, {"id": "f89894944bd4cb871b722f0fbcb32fbe866c5bb7", "title": "Bio-inspired heterogeneous architecture for real-time pedestrian detection applications", "addresses": [{"name": "Universite Blaise Pascal, Clermont Ferrand, France", "source_name": "Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}, {"name": "Grenoble Alpes University", "source_name": "Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France", "street_adddress": "Maison Jean Kuntzmann, Saint-Martin-d'H\u00e8res, 110 Rue de la Chimie, 38400 Saint-Martin-d'H\u00e8res, France", "lat": "45.19364880", "lng": "5.76946150", "type": "edu", "country": "France"}, {"name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "source_name": "TeCIP Institute, Scuola Superiore Sant\u2019Anna, Pisa, Italy", "street_adddress": "1, Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "lat": "43.71925890", "lng": "10.42400630", "type": "edu", "country": "Italy"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-016-0581-3", "https://hal.archives-ouvertes.fr/hal-01298676/document"]}, {"id": "d67e2f60c55884e34fa8e2a154ae12b5983c90e7", "title": "Delivering Deep Learning to Mobile Devices via Offloading", "addresses": [{"name": "University of California, Riverside", "source_name": "University of California, Riverside", "street_adddress": "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "lat": "33.98071305", "lng": "-117.33261035", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3097903"]}, {"id": "8a382f000f98cdab7f7b79e543c75c6b8f93b6f9", "title": "Learning Semantic Image Representations at a Large Scale", "addresses": [{"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a38/2f000f98cdab7f7b79e543c75c6b8f93b6f9.pdf"], "doi": []}, {"id": "250466b42c0b690724c4d2c7ff61ecae489be356", "title": "Recognizing Products: A Per-exemplar Multi-label Image Classification Approach", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": ["http://people.inf.ethz.ch/mageorge/eccv14/marian_george_eccv_2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8690/86900440.pdf", "http://www.vs.inf.ethz.ch/publ/papers/mageorge_products_eccv2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10605-2_29"]}, {"id": "7d35fe4f4a932d7598d94d64b72cfa7e6a70286d", "title": "Experimental Evaluation of Multiplicative Kernel SVM Classifiers for Multi-Class Detection", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7d35/fe4f4a932d7598d94d64b72cfa7e6a70286d.pdf"], "doi": []}, {"id": "a887937b813f267507203d4faef1013043cf09d0", "title": "Automatic Process to Build a Contextualized Detector", "addresses": [{"name": "Blaise Pascal University", "source_name": "Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France", "street_adddress": "24 Avenue des Landais, 63170 Aubi\u00e8re, France", "lat": "45.76187990", "lng": "3.11271330", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5891/b87c0eecd76f067c5bafd9cd0702ac6d2fc7.pdf"], "doi": []}, {"id": "a63104ad235f98bc5ee0b44fefbcdb49e32c205a", "title": "Has my algorithm succeeded? an evaluator for human pose estimators", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/Jammalamadaka12eccv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/jammalamadaka12a.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Jammalamadaka12a/poster.pdf", "https://www.research.ed.ac.uk/portal/files/17289840/Jammalamadaka_et_al_2012_Has_my_Algorithm_Succeeded.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33712-3_9"]}, {"id": "2ca5f4ffcc2dc75422e1ed0a9d848280d82ad626", "title": "Attacking Object Detectors via Imperceptible Patches on Background", "addresses": [{"name": "State University of New York", "source_name": "University at Albany, State University of New York, Albany, USA", "street_adddress": "353 Broadway, Albany, NY 12207, USA", "lat": "42.64805160", "lng": "-73.74957600", "type": "edu", "country": "United States"}, {"name": "GE Global Research Center", "source_name": "GE Global Research Center", "street_adddress": "GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA", "lat": "42.82982480", "lng": "-73.87719385", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05966.pdf"], "doi": []}, {"id": "dcd283758d77ae5c99d5ecf69e6258c22dd2572c", "title": "Scale-aware multi-level guidance for interactive instance segmentation", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02967.pdf"], "doi": []}, {"id": "1ba7a9c0e658a0d98253f999bf43c2e98c07f4e0", "title": "Real-time visual tracking using compressive sensing", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}, {"name": "NICTA", "source_name": "NICTA", "street_adddress": "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "lat": "42.00877410", "lng": "-87.89585490", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://www.researchgate.net/profile/Chunhua_Shen2/publication/221364339_Real-time_visual_tracking_using_compressive_sensing/links/02e7e5302b5360486e000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995483", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2011.5995483", "http://doi.org/10.1109/CVPR.2011.5995483"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "addresses": [{"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"], "doi": []}, {"id": "75d0a8e80a75312571951144aaa2d5dd5ae30e43", "title": "Polar Transformation on Image Features for Orientation-Invariant Representations", "addresses": [{"name": "Kobe University", "source_name": "Kobe University", "street_adddress": "\u795e\u6238\u5927\u5b66, \u7058\u4e09\u7530\u7dda, \u7058\u533a, \u795e\u6238\u5e02, \u5175\u5eab\u770c, \u8fd1\u757f\u5730\u65b9, 657-00027, \u65e5\u672c", "lat": "34.72757140", "lng": "135.23710000", "type": "edu", "country": "Japan"}, {"name": "Fujian Normal University", "source_name": "College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China", "street_adddress": "1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China", "lat": "26.02527760", "lng": "119.21178450", "type": "edu", "country": "China"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"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": "2019", "pdf": ["http://eprints.whiterose.ac.uk/132227/1/TMM_camera_ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411338", "http://doi.org/10.1109/TMM.2018.2856121"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"id": "032bde9da87439c781a6c81ba7933985ed95d88e", "title": "What's the point: Semantic segmentation with point supervision", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "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": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02106.pdf"], "doi": []}, {"id": "2d3ad5b92b7514ec114102035322d3953e1fbbd8", "title": "Outlining Objects for Interactive Segmentation on Touch Devices", "addresses": [{"name": "CNRS - IRIT, Toulouse, France", "source_name": "CNRS - IRIT, Toulouse, France", "street_adddress": "Avenue de l'\u00e9tudiant, 31400 Toulouse, France", "lat": "43.56198480", "lng": "1.46798510", "type": "edu", "country": "France"}, {"name": "University of Toulouse", "source_name": "University of Toulouse", "street_adddress": "Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA", "lat": "30.17818160", "lng": "-93.23605810", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3123409"]}, {"id": "6035b7f0ddfe618afef72d5f70e4a0dfd11deeb4", "title": "Automated Military Vehicle Detection from Low-Altitude Aerial Images", "addresses": [{"name": "National University of Sciences and Technology", "source_name": "National University of Sciences and Technology", "street_adddress": "National University of Sciences and Technology (NUST), Kashmir Highway, \u062c\u06cc - 10, ICT, \u0648\u0641\u0627\u0642\u06cc \u062f\u0627\u0631\u0627\u0644\u062d\u06a9\u0648\u0645\u062a \u0627\u0633\u0644\u0627\u0645 \u0622\u0628\u0627\u062f, 44000, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "33.64434700", "lng": "72.98850790", "type": "edu", "country": "Pakistan"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8615865"]}, {"id": "8b06d12795c1714960cc0db17687777aad28ab42", "title": "Pedestrian detection in digital videos using committee of motion feature extractors", "addresses": [{"name": "Universidad Nacional de Mar del Plata, Argentina", "source_name": "Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina", "street_adddress": "De\u00e1n Funes 3350, B7602AYL Mar del Plata, Buenos Aires, Argentina", "lat": "-38.00537090", "lng": "-57.57090000", "type": "edu", "country": "Argentina"}, {"name": "Universidade de Pernambuco (UPE), Recife, Brazil", "source_name": "Universidade de Pernambuco (UPE), Recife, Brazil", "street_adddress": "Av. Gov. Agamenon Magalh\u00e3es - Santo Amaro, Recife - PE, 50100-010, Brazil", "lat": "-8.04406030", "lng": "-34.88611670", "type": "edu", "country": "Brazil"}, {"name": "Universidade de Pernambuco, Brazil", "source_name": "Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil", "street_adddress": "Palmares - State of Pernambuco, 55540-000, Brazil", "lat": "-8.66529440", "lng": "-35.56880500", "type": "edu", "country": "Brazil"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285714", "http://doi.org/10.1109/LA-CCI.2017.8285714"]}, {"id": "bb6548b43c737dca642298c46ec4648a403e1b11", "title": "A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8569822", "http://doi.org/10.1109/ITSC.2018.8569822"]}, {"id": "aeb2f8e94b8e7f90327fbda3e6eea7313c9ec2e0", "title": "Coupled-layer based visual tracking via adaptive kernelized correlation filters", "addresses": [{"name": "Xidian University", "source_name": "Xidian University", "street_adddress": "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "lat": "34.12358250", "lng": "108.83546000", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-016-1310-4"]}, {"id": "7dfc24b8e21fa7a397d5557574efedd218864d10", "title": "Robust Visual Tracking Via Consistent Low-Rank Sparse Learning", "addresses": [{"name": "University of Illinois", "source_name": "Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore", "street_adddress": "1 Create Way, 14-02 Create Tower, Singapore 138602", "lat": "1.30372570", "lng": "103.77377630", "type": "edu", "country": "Singapore"}, {"name": "King Abdullah University of Science and Technology (KAUST)", "source_name": "King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia", "street_adddress": "Thuwal 23955, Saudi Arabia", "lat": "22.30946500", "lng": "39.10469700", "type": "edu", "country": "Saudi Arabia"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "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 California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv14_clrst.pdf", "http://vision.ai.illinois.edu/publications/zhangijcv2015.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0738-0"]}, {"id": "d7a042c4db29e233861bc556fd763ca608ae078c", "title": "Multi-view object instance recognition in an industrial context", "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"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7a0/42c4db29e233861bc556fd763ca608ae078c.pdf"], "doi": []}, {"id": "50953b9a15aca6ef3351e613e7215abdcae1435e", "title": "Learning coarse-to-fine sparselets for efficient object detection and scene classification", "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"}], "year": "2015", "pdf": ["http://sunw.csail.mit.edu/papers/63_Cheng_SUNw.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_007_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Cheng_Learning_Coarse-to-Fine_Sparselets_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298721", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298721", "http://doi.org/10.1109/CVPR.2015.7298721"]}, {"id": "ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe", "title": "Image smoothing via unsupervised learning", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"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": "2018", "pdf": ["https://arxiv.org/pdf/1811.02804.pdf"], "doi": []}, {"id": "8fff5963fe480124d4df4cb6bfcf3aa8dfb34101", "title": "RTSeg: Real-Time Semantic Segmentation Comparative Study", "addresses": [{"name": "University of Alberta", "source_name": "University of Alberta", "street_adddress": "University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada", "lat": "53.52385720", "lng": "-113.52282665", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02758.pdf"], "doi": []}, {"id": "ac6dc2eb153f886ef19429a84de41b6ffed0270a", "title": "Exploiting language models to recognize unseen actions", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2461504"]}, {"id": "397bfda299f789f0c84bf284a868b9ca005c7f84", "title": "Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery", "addresses": [{"name": "German Aerospace Center", "source_name": "Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany", "street_adddress": "M\u00fcnchener Str. 20, 82234 We\u00dfling, Germany", "lat": "48.08342380", "lng": "11.27563320", "type": "edu", "country": "Germany"}, {"name": "Technical University of Munich", "source_name": "Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany", "street_adddress": "Boltzmannstra\u00dfe 3, 85748 Garching bei M\u00fcnchen, Germany", "lat": "48.26301100", "lng": "11.66685700", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02700.pdf"], "doi": []}, {"id": "53d446afc33bd7cf1c9d5d24ab41c0ad6af1fc3c", "title": "An optimized target tracking algorithm of online boosting", "addresses": [{"name": "Air Force Engineering University", "source_name": "Air Force Engineering University, Xi\u2019an, China", "street_adddress": "Baqiao, Xi'an, Shaanxi, China", "lat": "34.27379700", "lng": "109.03617100", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6986234"]}, {"id": "ae5b2b449f59ae0f46f6a31ed4826d98241c394c", "title": "Accurate real-time people counting for crowded environments", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ae5b/2b449f59ae0f46f6a31ed4826d98241c394c.pdf"], "doi": []}, {"id": "a1fd80d41c39f61b1f82f20e71b5ad4323dc9bd7", "title": "Fine-grained object recognition with Gnostic Fields", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://www.chriskanan.com/wp-content/uploads/Kanan_WACV_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836122", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836122", "http://doi.org/10.1109/WACV.2014.6836122"]}, {"id": "a13dac9255dd738932f463a8f462c11419f072db", "title": "Use of Generative Adversarial Network for Cross-Domain Change Detection", "addresses": [{"name": "University of Fukui", "source_name": "Faculty of Engineering, University of Fukui, Japan", "street_adddress": "3 Chome-9-\uff11 Bunkyo, Fukui, Fukui Prefecture 910-8507, Japan", "lat": "36.07509890", "lng": "136.21222390", "type": "edu", "country": "Japan"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08868.pdf"], "doi": []}, {"id": "fab39542b04d5aac48349e456cdb300e7786ee6b", "title": "Object recognition and retrieval by context dependent similarity kernels", "addresses": [{"name": "Certis, Lab, ENPC ParisTech, France", "source_name": "Certis, Lab, ENPC ParisTech, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "UMR 5141, LTCI, Telecom ParisTech, France", "source_name": "UMR 5141, LTCI, Telecom ParisTech, France", "street_adddress": "46 Rue Barrault, 75013 Paris, France", "lat": "48.82629430", "lng": "2.34641880", "type": "edu", "country": "France"}], "year": "2008", "pdf": ["http://certis.enpc.fr/publications/papers/CBMI08.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4564949", "http://doi.org/10.1109/CBMI.2008.4564949"]}, {"id": "0ae427cc645162f1a110ffce7b94cd9400138527", "title": "Decentralized Dictionary Learning Over Time-Varying Digraphs Decentralized Dictionary Learning Over Time-Varying Digraphs", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0ae4/27cc645162f1a110ffce7b94cd9400138527.pdf"], "doi": []}, {"id": "cd7551569c460c19139377a90d554b57b506b831", "title": "Multi-pose face detection for accurate face logging", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460662", "http://ieeexplore.ieee.org/document/6460662/"]}, {"id": "812e11fc86e5d183337257978e5a0f26b5668218", "title": "Evaluating ResNeXt Model Architecture for Image Classification", "addresses": [{"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08700.pdf"], "doi": []}, {"id": "fe683e48f373fa14c07851966474d15588b8c28b", "title": "Hinge-Minimax Learner for the Ensemble of Hyperplanes", "addresses": [{"name": "University of Haifa", "source_name": "University of Haifa", "street_adddress": "\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05ea \u05d7\u05d9\u05e4\u05d4, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.76162915", "lng": "35.01986304", "type": "edu", "country": "Israel"}, {"name": "Technion - Israel Institute of Technology", "source_name": "Technion - Israel Institute of Technology", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fe68/3e48f373fa14c07851966474d15588b8c28b.pdf"], "doi": []}, {"id": "0228089cf7ae696e946c2cfe757a7c401e5f38f1", "title": "Tooth guard: A vision system for detecting missing tooth in rope mine shovel", "addresses": [{"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}, {"name": "Yahoo", "source_name": "Yahoo Inc., New York, NY, USA", "street_adddress": "229 W 43rd St, New York, NY 10036, USA", "lat": "40.75747140", "lng": "-73.98773180", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://jvbsoares.files.wordpress.com/2016/03/tooth_guard_wacv_2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477594", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477594", "http://doi.org/10.1109/WACV.2016.7477594"]}, {"id": "70f6ef15237f3b3f563712a6d269f4a4a17f0af0", "title": "Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation", "addresses": [{"name": "University of Technology at Sydney", "source_name": "Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88402990", "lng": "151.19923400", "type": "edu", "country": "Australia"}, {"name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "source_name": "Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China", "street_adddress": "Nanshan, Shenzhen, China, 518057", "lat": "22.52743800", "lng": "113.94856500", "type": "company", "country": "China"}, {"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}, {"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7303903", "http://doi.org/10.1109/TCSVT.2015.2493500"]}, {"id": "15870e306ac1f8969b9ddf3cc84d59d21acd7cdc", "title": "OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie", "addresses": [{"name": "Universit\u00e0 degli Studi di Milano", "source_name": "Universit\u00e0 degli Studi di Milano", "street_adddress": "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "lat": "45.47567215", "lng": "9.23336232", "type": "edu", "country": "Italy"}, {"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": "2010", "pdf": ["http://eprints.pascal-network.org/archive/00007016/01/10olcv.pdf", "http://francesco.orabona.com/papers/10olcv.pdf", "http://mercurio.srv.di.unimi.it/~cesabian/Pubblicazioni/OM-2.pdf", "http://publications.idiap.ch/downloads/papers/2011/Luo_CVPR-OLCV_2010.pdf", "http://publications.idiap.ch/downloads/reports/2010/Luo_Idiap-RR-06-2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543766", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543766", "http://doi.org/10.1109/CVPRW.2010.5543766"]}, {"id": "ddb561cbdc1e8d76e88679c115f277effde4db8d", "title": "Human-like Clustering with Deep Convolutional Neural Networks", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05048.pdf"], "doi": []}, {"id": "8db60e5196657c4f6188ffee3d2a48d188014f6d", "title": "Realtime multi-aircraft tracking in aerial scene with deep orientation network", "addresses": [{"name": "Military Technical College, Cairo, Egypt", "source_name": "Military Technical College, Cairo, Egypt", "street_adddress": "Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt", "lat": "30.08042180", "lng": "31.29625750", "type": "mil", "country": "Egypt"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s11554-018-0780-1"]}, {"id": "c2be82ed0db509087b08423c8cf39ab3c36549c3", "title": "Pixel-level guided face editing with fully convolution networks", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019363", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019363", "http://doi.org/10.1109/ICME.2017.8019363"]}, {"id": "92ed396feb11d18d9bd05ed1f5ea326ba3b16425", "title": "A visual target tracking algorithm based on improved Kernelized Correlation Filters", "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"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7558560"]}, {"id": "33e845e18acbf54ad2e031efe68493d07d7deb61", "title": "Can Diversity amongst Learners Improve Online Object Tracking", "addresses": [{"name": "Austrian Institute of Technology, Austria", "source_name": "Austrian Institute of Technology, Austria", "street_adddress": "2444 Seibersdorf, Austria", "lat": "47.97772440", "lng": "16.50834750", "type": "edu", "country": "Austria"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "University of Oslo", "source_name": "University of Oslo", "street_adddress": "UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge", "lat": "59.93891665", "lng": "10.72170765", "type": "edu", "country": "Norway"}], "year": "2013", "pdf": ["http://gnebehay.com/publications/mcs_2013/mcs_2013.pdf", "http://www.epics-project.eu/publications/2013_nebehay_lncs.pdf", "https://www.gnebehay.com/publications/mcs_2013/mcs_2013.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38067-9_19"]}, {"id": "448ff117f216bba80080ad56851d7dc6bb5e22bd", "title": "Is my new tracker really better than yours?", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836055", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836055", "http://doi.org/10.1109/WACV.2014.6836055"]}, {"id": "26c58e24687ccbe9737e41837aab74e4a499d259", "title": "Codemaps - Segment, Classify and Search Objects Locally", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "Centrum Wiskunde & Informatica, Amsterdam, The Netherlands", "source_name": "Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl", "street_adddress": "Science Park 123, 1098 XG Amsterdam, Netherlands", "lat": "52.35667800", "lng": "4.95187000", "type": "edu", "country": "Netherlands"}], "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Li_Codemaps_-_Segment_2013_ICCV_paper.pdf", "https://ivi.fnwi.uva.nl/isis/publications/2013/LiICCV2013/LiICCV2013.pdf", "https://staff.fnwi.uva.nl/z.li2/pub/li_codemaps_iccv2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751376", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.454", "http://doi.org/10.1109/ICCV.2013.454"]}, {"id": "3abb03b50ed38487ba122bb0330ea7217f6f49c2", "title": "Semantic segmentation priors for object discovery", "addresses": [{"name": "Catchoom, Barcelona, Spain", "source_name": "Catchoom, Barcelona, Spain", "street_adddress": "Rambla de Catalunya, 123, 08006 Barcelona, Spain", "lat": "41.39476070", "lng": "2.15811140", "type": "edu", "country": "Spain"}, {"name": "Universit\u00e4t Hamburg", "source_name": "Universit\u00e4t Hamburg", "street_adddress": "Informatikum, 30, Vogt-K\u00f6lln-Stra\u00dfe, Stellingen, Eimsb\u00fcttel, Hamburg, 22527, Deutschland", "lat": "53.59948200", "lng": "9.93353436", "type": "edu", "country": "Germany"}, {"name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "source_name": "Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain", "street_adddress": "C/ Llorens i Artigas 4-6, 08028 Barcelona, Spain", "lat": "41.38295500", "lng": "2.11573820", "type": "edu", "country": "Spain"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["http://www.ais.uni-bonn.de/papers/ICPR_2016_Martin.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899691", "http://doi.org/10.1109/ICPR.2016.7899691"]}, {"id": "39223c8e64221062cd992e7e89e6db858014eac1", "title": "Progressive Recurrent Learning for Visual Recognition", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12047.pdf"], "doi": []}, {"id": "750896331f6d74495037f6c8f6c821b0c50ee44e", "title": "Deconstructing the Deformable Parts Model : Do More with Less", "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": "2014", "pdf": ["https://pdfs.semanticscholar.org/ca09/b434e55db0f5772be7638afa3bd8f785a199.pdf"], "doi": []}, {"id": "778b73effb652ab54c17de194e7ed38f58e5b5be", "title": "Measuring and increasing the capacity of Natural HOG Statistics", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/778b/73effb652ab54c17de194e7ed38f58e5b5be.pdf"], "doi": []}, {"id": "cb05bb5397e077aff7bac3ee26eaabed2779e914", "title": "Deep Learning based Vehicle Detection in Aerial Imagery", "addresses": [{"name": "Karlsruhe Institute of Technology", "source_name": "Karlsruhe Institute of Technology", "street_adddress": "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "lat": "49.10184375", "lng": "8.43312560", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cb05/bb5397e077aff7bac3ee26eaabed2779e914.pdf"], "doi": []}, {"id": "f99a2beca1e85015af62f728b70dc48be93a3c29", "title": "Cross-Modal Learning to Rank with Adaptive Listwise Constraint", "addresses": [{"name": "South China Normal University", "source_name": "South China Normal University", "street_adddress": "\u534e\u5e08, \u4e94\u5c71\u8def, \u534e\u5357\u7406\u5de5\u5927\u5b66\u5357\u65b0\u6751, \u5929\u6cb3\u533a, \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510630, \u4e2d\u56fd", "lat": "23.14319700", "lng": "113.34009651", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001658.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8462599", "http://doi.org/10.1109/ICASSP.2018.8462599"]}, {"id": "eecc4466056761ba6d4909cfd7928de90af140d7", "title": "Dense and Sparse Labeling With Multidimensional Features for Saliency Detection", "addresses": [{"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7802636", "http://doi.org/10.1109/TCSVT.2016.2646720"]}, {"id": "6a64ac585cf7150253c690ed62bc92fb2894a347", "title": "Traffic congestion judgment based on linear spatial pyramid matching using sparse coding", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6975892", "http://doi.org/10.1109/ICNC.2014.6975892"]}, {"id": "c0e25fb09fc844a8b7002a0a4ae4d6f13c287537", "title": "CSPS: An Adaptive Pooling Method for Image Classification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "Peking University Shenzhen Graduate School", "source_name": "Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China", "street_adddress": "2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055", "lat": "22.59281300", "lng": "113.97426400", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["http://media.pkusz.edu.cn/images/papers/%E5%8F%91%E8%A1%A8-CSPS_An_adaptive_pooling_method_for_Image.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7436795", "http://doi.org/10.1109/TMM.2016.2544099"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "People\u2019s Public Security University of China", "source_name": "People\u2019s Public Security University of China, Beijing, China", "street_adddress": "Changping, Beijing, China, 102202", "lat": "40.12794800", "lng": "116.27810200", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8467369", "http://doi.org/10.1109/TIP.2018.2870946", "https://www.ncbi.nlm.nih.gov/pubmed/30235130"]}, {"id": "7caa3a74313f9a7a2dd5b4c2cd7f825d895d3794", "title": "Markov Chain Monte Carlo for Automated Face Image Analysis", "addresses": [{"name": "University of Basel", "source_name": "University of Basel", "street_adddress": "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.56126510", "lng": "7.57529610", "type": "edu", "country": "Switzerland"}], "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11263-016-0967-5"]}, {"id": "e083d6f5084d8a8582af797999185c4e0d2c841a", "title": "R-CNNs for Pose Estimation and Action Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5212.pdf"], "doi": []}, {"id": "446154e26359e7f8fd2f314cca44c1e20da02ac3", "title": "DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06783.pdf"], "doi": []}, {"id": "18ccd8bd64b50c1b6a83a71792fd808da7076bc9", "title": "Object detection and segmentation from joint embedding of parts and pixels", "addresses": [{"name": "Boston College", "source_name": "Boston College", "street_adddress": "Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA", "lat": "42.33544810", "lng": "-71.16813864", "type": "edu", "country": "United States"}, {"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}], "year": "2011", "pdf": ["http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://www.eecs.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf", "http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126490", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126490", "http://doi.org/10.1109/ICCV.2011.6126490"]}, {"id": "8f310ac62e2e3685cf836bec5ad2dd5945f8c018", "title": "Tag refinement of micro-videos by learning from multiple data sources", "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": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4781-z"]}, {"id": "62f4df68cb1fbedf0c22fa292d9d9a9ef630d21d", "title": "Inverse Sparse Tracker With a Locally Weighted Distance Metric", "addresses": [{"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}, {"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip15_ist.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7097026", "http://doi.org/10.1109/TIP.2015.2427518", "https://www.ncbi.nlm.nih.gov/pubmed/25935033", "https://www.wikidata.org/entity/Q48671535"]}, {"id": "21d7c74ed8a1c777debe96937c08b162ee01eac6", "title": "Exploring the Potential of Using Semantic Context and Common Sense in On-Road Vehicle Detection", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8500468", "http://doi.org/10.1109/IVS.2018.8500468"]}, {"id": "d4efe5177a932305d0ac742b280da1e97a254f0c", "title": "Learning to detect, localize and recognize many text objects in document images from few examples", "addresses": [{"name": "A2iA SA, Paris, France", "source_name": "A2iA SA, Paris, France", "street_adddress": "39 Rue de la Bienfaisance, 75008 Paris, France", "lat": "48.87651350", "lng": "2.31476700", "type": "company", "country": "France"}, {"name": "Universit\u00e9 de Lyon, Lyon, France", "source_name": "CNRS, Universit\u00e9 de Lyon, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}, {"name": "LIRIS, INSA-Lyon, Villeurbanne, France", "source_name": "LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France", "street_adddress": "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "lat": "45.78332440", "lng": "4.87819840", "type": "edu", "country": "France"}, {"name": "Teklia SAS, Paris, France", "source_name": "Teklia SAS, Paris, France", "street_adddress": "Paris, France", "lat": "48.85661400", "lng": "2.35222190", "type": "company", "country": "France"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10032-018-0305-2"]}, {"id": "47a7b12776de302f5cf34df21eced1bff593dbcf", "title": "Combining deep reinforcement learning with prior knowledge and reasoning", "addresses": [{"name": "National Institute of Informatics, Japan", "source_name": "National Institute of Informatics, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3243067"]}, {"id": "ae4577f3a49ee56ea1c80f6884012c416d083ee5", "title": "Adaptive estimation of inlier and outlier threshold", "addresses": [{"name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "source_name": "Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6677398", "http://doi.org/10.1109/URAI.2013.6677398"]}, {"id": "cda356a979c0a57e1051830551f657db249e3c45", "title": "Architecture for Dynamic Allocation of Computer Vision Tasks", "addresses": [{"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967427"]}, {"id": "7b8ace072475a9a42d6ceb293c8b4a8c9b573284", "title": "Conditional Random Fields for multi-camera object detection", "addresses": [{"name": "EPFL, Lausanne (Switzerland)", "source_name": "EPFL, Lausanne (Switzerland)", "street_adddress": "Route Cantonale, 1015 Lausanne, Switzerland", "lat": "46.51905570", "lng": "6.56675760", "type": "edu", "country": "Switzerland"}, {"name": "ETHZ, Zurich (Switzerland)", "source_name": "ETHZ, Zurich (Switzerland)", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00855.pdf", "https://infoscience.epfl.ch/record/167890/files/Conditional%20Random%20Fields%20for%20Multi-Camera%20Object%20Detection.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126289", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126289", "http://doi.org/10.1109/ICCV.2011.6126289"]}, {"id": "335be9250ba4a69a303abc3e202fb7c9c8551f49", "title": "Large scale visual classification with SVM, create the unique article through NLP", "addresses": [{"name": "University of Moratuwa", "source_name": "Faculty of Information Technology, University of Moratuwa", "street_adddress": "Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka", "lat": "6.79708620", "lng": "79.90190940", "type": "edu", "country": "Sri Lanka"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8257788"]}, {"id": "553c4cb8ae6968515efe7ffcb6c30ca5338a32de", "title": "InverseNet: Solving Inverse Problems with Splitting Networks", "addresses": [{"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00202.pdf"], "doi": []}, {"id": "16161051ee13dd3d836a39a280df822bf6442c84", "title": "Learning Efficient Object Detection Models with Knowledge Distillation", "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"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}, {"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4bd3/f187f3e09483b1f0f92150a4a77409691b0f.pdf"], "doi": []}, {"id": "1504eae5487e1e062fef96e1e424de5d3a5a3858", "title": "MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding", "addresses": [{"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078976"]}, {"id": "ed4bd8e3805853f906029f9b917f22b3cd2fc3bf", "title": "Lazy Dragging: Effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Yonsei University", "source_name": "Yonsei University", "street_adddress": "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "lat": "37.56004060", "lng": "126.93692480", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7889309", "http://doi.org/10.1109/TCE.2017.014769"]}, {"id": "a31a01827d809673a641877f21759633936d7da5", "title": "Reducing Network Agnostophobia", "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": "2018", "pdf": ["https://arxiv.org/pdf/1811.04110.pdf"], "doi": []}, {"id": "b7407b2ea67b8c82246f013f4966c4cac1507e60", "title": "Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks", "addresses": [{"name": "Jilin University", "source_name": "Jilin University", "street_adddress": "\u5409\u6797\u5927\u5b66\u73e0\u6d77\u6821\u533a, \u4e39\u6842\u8def, \u5723\u5802\u6751, \u91d1\u6e7e\u533a, \u73e0\u6d77\u5e02, \u5e7f\u4e1c\u7701, \u4e2d\u56fd", "lat": "22.05356500", "lng": "113.39913285", "type": "edu", "country": "China"}, {"name": "North Carolina State University", "source_name": "North Carolina State University", "street_adddress": "North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b740/7b2ea67b8c82246f013f4966c4cac1507e60.pdf"], "doi": []}, {"id": "8f76401847d3e3f0331bab24b17f76953be66220", "title": "Deep Coding Network", "addresses": [{"name": "NEC Labs, Cupertino, CA", "source_name": "NEC Labs, Cupertino, CA", "street_adddress": "10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA", "lat": "37.32391770", "lng": "-122.01296930", "type": "company", "country": "United States"}, {"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": "2010", "pdf": ["http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2010_1077.pdf", "http://papers.nips.cc/paper/3929-deep-coding-network.pdf", "http://stat.rutgers.edu/home/tzhang/papers/nips10-coding.pdf", "http://www.linyq.com/DCN_slides.pdf"], "doi": ["http://papers.nips.cc/paper/3929-deep-coding-network"]}, {"id": "7bf7483f96a5f08a0c762831f7214b4caf451d24", "title": "Improving object detection accuracy with region and regression based deep CNNs", "addresses": [{"name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "source_name": "North China Sea Environmental Monitoring Center, State Oceanic Administration", "street_adddress": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "gov", "country": "China"}, {"name": "Ocean University of Chisana", "source_name": "Ocean University of Chisana, Qingdao, China", "street_adddress": "5 Yushan Rd, Shinan Qu, Qingdao Shi, Shandong Sheng, China", "lat": "36.06125500", "lng": "120.33530100", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304297", "http://doi.org/10.1109/SPAC.2017.8304297"]}, {"id": "55f7699e768457d40c5232448cdca4503db2821b", "title": "Temporal consistency object tracker with ranking mechanism", "addresses": [{"name": "JiaYing University", "source_name": "JiaYing University, Meizhou, China", "street_adddress": "China, Guangdong, Meizhou, Meijiang, \u6885\u677e\u8def100\u53f7", "lat": "24.32538700", "lng": "116.12873200", "type": "edu", "country": "China"}, {"name": "Longyan University", "source_name": "Longyan University, Fujian, China", "street_adddress": "Xinluo, Longyan, China", "lat": "25.03291000", "lng": "117.01961900", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7418834", "http://doi.org/10.1109/ROBIO.2015.7418834"]}, {"id": "4e5be30a51f6f5cde38b4917ab9e8c51d85ad16c", "title": "Fast dynamic video content exploration", "addresses": [{"name": "MIT Lincoln Laboratory", "source_name": "MIT Lincoln Laboratory", "street_adddress": "244 Wood St, Lexington, MA 02421, USA", "lat": "42.45895890", "lng": "-71.26749520", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6699013"]}, {"id": "06ca83cc7def5b0d582f4d933057c4370a6345d7", "title": "Training Object Class Detectors with Click Supervision", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06189.pdf"], "doi": []}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "addresses": [{"name": "ChaLearn, California, USA", "source_name": "ChaLearn, California, USA", "street_adddress": "California, USA", "lat": "36.77826100", "lng": "-119.41793240", "type": "company", "country": "United States"}, {"name": "Computer Vision Center, Barcelona", "source_name": "Computer Vision Center, Barcelona", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "INAOE, Puebla, Mexico", "source_name": "INAOE, Puebla, Mexico", "street_adddress": "Luis Enrique Erro 1, Sta Mar\u00eda Tonanzintla, 72840 Puebla, Pue., Mexico", "lat": "19.03231070", "lng": "-98.31537020", "type": "edu", "country": "Mexico"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "03735225d5f956180cc252af3613796e75930f1a", "title": "Shifting Weights: Adapting Object Detectors from Image to Video", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/nips12-adapt.pdf", "http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video.pdf", "http://vision.stanford.edu/pdf/nips12-adapt.pdf"], "doi": ["http://papers.nips.cc/paper/4691-shifting-weights-adapting-object-detectors-from-image-to-video"]}, {"id": "d994cae1195536ed1298d9289f014e4a81b88ca7", "title": "Sparse Coding for Object Detection with Deformable Part Models", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d994/cae1195536ed1298d9289f014e4a81b88ca7.pdf"], "doi": []}, {"id": "c1611b8b68ecc1e4ab2c35a10af70698d26d32ef", "title": "A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images", "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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8546192", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8546192", "http://doi.org/10.1109/ICPR.2018.8546192"]}, {"id": "d9a0ccbef012d48813334be3de8319f8dd98e3fb", "title": "Deep Uniqueness-Aware Hashing for Fine-Grained Multi-Label Image Retrieval", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001683.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8461906", "http://doi.org/10.1109/ICASSP.2018.8461906"]}, {"id": "1c720c0da64d6e2e4e04cfa70216215bd33eade5", "title": "Region Trajectories for Video Semantic Concept Detection", "addresses": [{"name": "NVIDIA Research, New York, NY, USA", "source_name": "NVIDIA Research, New York, NY, USA", "street_adddress": "101 Crawfords Corner Rd Suite 4-205, Holmdel, NJ 07733, USA", "lat": "40.36511150", "lng": "-74.16754280", "type": "company", "country": "United States"}, {"name": "City University of New York", "source_name": "The City University of New York", "street_adddress": "Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA", "lat": "40.87228250", "lng": "-73.89489171", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2912046"]}, {"id": "504d79d7fba48645ef84a90b94a431f8a7e0612d", "title": "Compositional Compression of Deep Image Features Using Stacked Quantizers", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/504d/79d7fba48645ef84a90b94a431f8a7e0612d.pdf"], "doi": []}, {"id": "0dc0823a7485e2dfba9cdbcec788fe705c9bd8a1", "title": "Lazy dragging: effortless bounding-box drawing for touch-screen devices", "addresses": [{"name": "Student, IEEE", "source_name": "Student, IEEE", "street_adddress": "Lubbock, TX 79409, USA", "lat": "33.58689190", "lng": "-101.87544120", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8013247", "http://doi.org/10.1109/ICCE.2017.7889309"]}, {"id": "a23dbce36d200ef0c65ec29bbffea5b960361f3b", "title": "Pixel-wise neural cell instance segmentation", "addresses": [{"name": "Astellas Research Institute of America, IL, USA", "source_name": "Astellas Research Institute of America, IL, USA", "street_adddress": "8045 Lamon Ave, Skokie, IL 60077, USA", "lat": "42.02797290", "lng": "-87.74949910", "type": "edu", "country": "United States"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8363596", "http://doi.org/10.1109/ISBI.2018.8363596"]}, {"id": "41be021880a916305c82199ddc2298eb271f6590", "title": "Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05272.pdf"], "doi": []}, {"id": "99f95595c45bd7a4fe2cffff07850754955e5e2a", "title": "RRAM-Based Analog Approximate Computing", "addresses": [{"name": "Baidu", "source_name": "Baidu", "street_adddress": "1195 Bordeaux Dr, Sunnyvale, CA 94089, USA", "lat": "37.40922650", "lng": "-122.02366150", "type": "company", "country": "United States"}, {"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"}, {"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": "2015", "pdf": ["https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/IEEE%20TCAD_170.pdf", "https://nicsefc.ee.tsinghua.edu.cn/media/publications/2015/TCAD15_None.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123597", "http://doi.org/10.1109/TCAD.2015.2445741"]}, {"id": "57642aa16d29bbd9f89f95e3f3dcb8291552db60", "title": "Benchmarking and Analyzing Deep Neural Network Training", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}, {"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": ["http://www.cs.toronto.edu/~pekhimenko/Papers/iiswc18-tbd.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8573476", "http://doi.ieeecomputersociety.org/10.1109/IISWC.2018.8573476", "http://doi.org/10.1109/IISWC.2018.8573476"]}, {"id": "732e4016225280b485c557a119ec50cffb8fee98", "title": "Are all training examples equally valuable?", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.6510.pdf"], "doi": []}, {"id": "73e3acf30ecce3771557aa083d5a83308049582b", "title": "Two-stream deep encoder-decoder architecture for fully automatic video object segmentation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305089", "http://doi.org/10.1109/VCIP.2017.8305089"]}, {"id": "6028f819adb0e79e8b846f4ff52fc7f1d4ee5711", "title": "RGB-D Human Detection and Tracking for Industrial Environments", "addresses": [{"name": "University of Padova", "source_name": "University of Padova", "street_adddress": "Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy", "lat": "45.40811720", "lng": "11.89437860", "type": "edu", "country": "Italy"}, {"name": "Southwest Research Institute, San Antonio, USA", "source_name": "Southwest Research Institute, San Antonio, USA", "street_adddress": "6220 Culebra Rd, San Antonio, TX 78238, USA", "lat": "29.45212560", "lng": "-98.61028110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://robotics.dei.unipd.it/images/Papers/Conferences/MunaroIAS13.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-08338-4_119"]}, {"id": "36aa5dd816553ba2e666d2a4b7d2f346e4b56be2", "title": "Variable scale and anti-occlusion object tracking method with multiple feature integration", "addresses": [{"name": "Xi'an University of Posts and Telecommunications", "source_name": "Xi'an University of Posts and Telecommunications, Xi'an, China", "street_adddress": "W Chang'an Ave, ChangAnQu XiBu DaXueCheng ShangQuan, Changan Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.15246200", "lng": "108.90348400", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7883101"]}, {"id": "488fff23542ff397cdb1ced64db2c96320afc560", "title": "Weakly supervised localization of novel objects using appearance transfer", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}], "year": "2015", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_106_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_106_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299060", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299060", "http://doi.org/10.1109/CVPR.2015.7299060"]}, {"id": "537afabc561a2efa79a903f4859ca63e6592f340", "title": "Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning", "addresses": [{"name": "Rochester Institute of Technology", "source_name": "Rochester Institute of Technology", "street_adddress": "Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA", "lat": "43.08250655", "lng": "-77.67121663", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06452.pdf"], "doi": []}, {"id": "e9d82ae7530e605c03440d362d78663c4af0edb6", "title": "Object Detection Using Color Entropies and a Fuzzy Classifier", "addresses": [{"name": "National Chung-Hsing University", "source_name": "National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.", "street_adddress": "No. 145\u865f, Xingda Road, South District, Taichung City, Taiwan 402", "lat": "24.12355200", "lng": "120.67532600", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410716", "http://doi.org/10.1109/MCI.2012.2228592"]}, {"id": "8e31c59c973cecce1a7ef114344513d1b6ec9001", "title": "Ask the dictionary: Soft-assignment location-orientation pooling for image classification", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351672", "http://doi.org/10.1109/ICIP.2015.7351672"]}, {"id": "34ccebc467bad0fc179543bde7d1bc04bed2397c", "title": "Recognizing Actions Through Action-Specific Person Detection", "addresses": [{"name": "Computer Vision Centre Barcelona, Barcelona, Spain", "source_name": "Computer Vision Centre Barcelona, Barcelona, Spain", "street_adddress": "Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vall\u00e8s, Barcelona, Spain", "lat": "41.50089570", "lng": "2.11155300", "type": "edu", "country": "Spain"}, {"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7180357", "http://doi.org/10.1109/TIP.2015.2465147", "https://www.ncbi.nlm.nih.gov/pubmed/26259079"]}, {"id": "33ba256d59aefe27735a30b51caf0554e5e3a1df", "title": "Early active learning via robust representation and structured sparsity", "addresses": [{"name": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["http://ijcai.org/Proceedings/13/Papers/234.pdf", "http://www.ijcai.org/Proceedings/13/Papers/234.pdf"], "doi": ["http://ijcai.org/Abstract/13/234"]}, {"id": "4efd04f737ff386edd943f2bd63499d1963f1a6f", "title": "Segmentation as selective search for object recognition", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126456"]}, {"id": "78a981ad6e9e3b7839e815ccd96d9d8e773b3eed", "title": "Object recognition as ranking holistic figure-ground hypotheses", "addresses": [{"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5539839"]}, {"id": "72d7e11b30767f4f5993d794fc040328b23868b5", "title": "Deep neural network acceleration framework under hardware uncertainty", "addresses": [{"name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "source_name": "Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA", "street_adddress": "La Jolla, CA 92093, USA", "lat": "32.88180060", "lng": "-117.23352350", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://moimani.weebly.com/uploads/2/3/8/6/23860882/isqed_18_nn__1_.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8357318", "http://doi.org/10.1109/ISQED.2018.8357318"]}, {"id": "419550e7b918c64785f087b17f7fde6c94bc6d4e", "title": "Distributional semantics with eyes: using image analysis to improve computational representations of word meaning", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2396422"]}, {"id": "a2a032f907c19256863e1e011b834eb1f8057a4c", "title": "Evaluating the WordsEye Text-to-Scene System: Imaginative and Realistic Sentences", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a2a0/32f907c19256863e1e011b834eb1f8057a4c.pdf"], "doi": []}, {"id": "0d746111135c2e7f91443869003d05cde3044beb", "title": "Partial face detection for continuous authentication", "addresses": [{"name": "State University of New Jersey", "source_name": "The State University of New Jersey", "street_adddress": "Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA", "lat": "40.51865195", "lng": "-74.44099801", "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": "2016", "pdf": ["https://arxiv.org/pdf/1603.09364.pdf"], "doi": []}, {"id": "ccd3dcbccae7d903608530bddf6381db8e723a7d", "title": "Unsupervised Domain Adaptation for Semantic Segmentation with GANs", "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"}, {"name": "GE Global Research", "source_name": "General Electric Global Research, Niskayuna, NY, USA", "street_adddress": "1 Research Cir, Niskayuna, NY 12309, USA", "lat": "42.82715560", "lng": "-73.87804810", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ccd3/dcbccae7d903608530bddf6381db8e723a7d.pdf"], "doi": []}, {"id": "3dcf65754c6ea49ece027964348f4ee792dad758", "title": "Hierarchical joint-guided networks for semantic image segmentation", "addresses": [{"name": "National Central University", "source_name": "National Central University", "street_adddress": "NCU, 300, \u4e2d\u5927\u8def, \u4e0a\u4e09\u5ea7\u5c4b, \u4e94\u6b0a\u91cc, \u6a39\u6797\u5b50, \u4e2d\u58e2\u5340, \u6843\u5712\u5e02, 320, \u81fa\u7063", "lat": "24.96841805", "lng": "121.19139696", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001887.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952484", "http://doi.org/10.1109/ICASSP.2017.7952484"]}, {"id": "a864f8cb78958d2b5674e0a68f7e5d7afb4110d8", "title": "Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition", "addresses": [{"name": "China University of Petroleum (East China)", "source_name": "College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China", "street_adddress": "Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000", "lat": "37.46230770", "lng": "118.50053220", "type": "edu", "country": "China"}, {"name": "Yunnan University", "source_name": "Yunnan University", "street_adddress": "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "lat": "25.05703205", "lng": "102.70027525", "type": "edu", "country": "China"}, {"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08109.pdf"], "doi": []}, {"id": "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "title": "HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "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": "2019", "pdf": ["https://arxiv.org/pdf/1603.01249.pdf"], "doi": []}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272759"]}, {"id": "8379f3cea577e393156c75f4c06560ba2472da94", "title": "Detection and localization with multi-scale models", "addresses": [{"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/mss_icpr.pdf", "https://eshed1.github.io/papers/mss_icpr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899830", "http://doi.org/10.1109/ICPR.2016.7899830"]}, {"id": "3b60af814574ebe389856e9f7008bb83b0539abc", "title": "Label Refinement Network for Coarse-to-Fine Semantic Segmentation.", "addresses": [{"name": "University of Manitoba", "source_name": "University of Manitoba", "street_adddress": "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu", "country": "Canada"}, {"name": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00551.pdf"], "doi": []}, {"id": "863e0b05b60662cf969ad4f5d3314f70a78beaa7", "title": "Color\u2013depth multi-task learning for object detection in haze", "addresses": [{"name": "HoHai University", "source_name": "HoHai University", "street_adddress": "\u6cb3\u6d77\u5927\u5b66, \u6cb3\u6d77\u8def, \u5c0f\u5e02\u6865, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210013, \u4e2d\u56fd", "lat": "32.05765485", "lng": "118.75500040", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00521-018-3732-6"]}, {"id": "474d84a1cc5bf2be1004f07732c470b240049780", "title": "DAFE-FD: Density Aware Feature Enrichment for Face Detection", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05375.pdf"], "doi": []}, {"id": "92990ef7866ca906b595e2841e340725fb3ff8da", "title": "Generating Synthetic Data for Text Recognition", "addresses": [{"name": "CVIT, IIIT Hyderabad, India", "source_name": "CVIT, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.04224.pdf"], "doi": []}, {"id": "87c2e267fadac9d4f4f694125eb86eaaf7121797", "title": "Fine tuning CNNS with scarce training data \u2014 Adapting imagenet to art epoch classification", "addresses": [{"name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "source_name": "Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany", "street_adddress": "Prof.-Dr.-Helmert-Stra\u00dfe 2-3, 14482 Potsdam, Germany", "lat": "52.39399650", "lng": "13.13336570", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/papers/Web_3.0/ICIP2016-hentschel.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533049", "http://doi.org/10.1109/ICIP.2016.7533049"]}, {"id": "d0ac9913a3b1784f94446db2f1fb4cf3afda151f", "title": "Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning", "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": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.04780.pdf"], "doi": []}, {"id": "68e596972d99635b5431357630512f1828ce90b4", "title": "Weakly Supervised RBM for Semantic Segmentation", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/68e5/96972d99635b5431357630512f1828ce90b4.pdf"], "doi": []}, {"id": "6e7a9779dee831658e973ee26ac8bfed2d6da033", "title": "Human Pose Estimation for Multiple Frames", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6e7a/9779dee831658e973ee26ac8bfed2d6da033.pdf"], "doi": []}, {"id": "08eaa845a72a2b78e08e58592d8785942fced649", "title": "What's in a Question: Using Visual Questions as a Form of Supervision", "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": "2017", "pdf": ["https://arxiv.org/pdf/1704.03895.pdf"], "doi": []}, {"id": "420c46d7cafcb841309f02ad04cf51cb1f190a48", "title": "Multi-Scale Context Aggregation by Dilated Convolutions", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.07122.pdf"], "doi": []}, {"id": "2603a85b305d041bf749934fe538315ecbc300c2", "title": "Non Maximal Suppression in Cascaded Ranking Models", "addresses": [{"name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "source_name": "Center for Visual Computing, \u00c9cole Centrale Paris, France", "street_adddress": "3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France", "lat": "48.70875900", "lng": "2.16400600", "type": "edu", "country": "France"}, {"name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "source_name": "LIGM (UMR CNRS), \u00c9cole des Ponts ParisTech, Universit\u00e9 Paris-Est, France", "street_adddress": "6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France", "lat": "48.84057900", "lng": "2.58696800", "type": "edu", "country": "France"}, {"name": "University of Oulu", "source_name": "University of Oulu", "street_adddress": "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "lat": "65.05921570", "lng": "25.46632601", "type": "edu", "country": "Finland"}, {"name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "source_name": "\u00c9quipe Galen, INRIA Saclay, \u00cele-de-France, France", "street_adddress": "1 Rue Honor\u00e9 d'Estienne d'Orves, 91120 Palaiseau, France", "lat": "48.71464030", "lng": "2.20565390", "type": "edu", "country": "France"}], "year": "2013", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/scia2013a.pdf", "https://users.aalto.fi/~kannalj1/publications/scia2013a.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38886-6_39"]}, {"id": "c23734cf46af7c299b72089e5cbc0e50b833e434", "title": "Edge color transform: a new operator for natural scene text localization", "addresses": [{"name": "Shahrood University of Technology", "source_name": "Shahrood University of Technology, Shahrood, Iran", "street_adddress": "\u0627\u0633\u062a\u0627\u0646 \u0633\u0645\u0646\u0627\u0646\u060c \u0634\u0627\u0647\u0631\u0648\u062f\u060c \u062e\u06cc\u0627\u0628\u0627\u0646 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u060c Iran", "lat": "36.39347730", "lng": "54.94178380", "type": "edu", "country": "Iran"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4663-4"]}, {"id": "e8adb84bbcb4d36e276e4fb4be2e9a7c9e278778", "title": "Rank : Non-Linear Object Detection", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e8ad/b84bbcb4d36e276e4fb4be2e9a7c9e278778.pdf"], "doi": []}, {"id": "a5fa91dbc72f200970e70debe88375b71ddef40b", "title": "A new performance measure and evaluation benchmark for road detection algorithms", "addresses": [{"name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "source_name": "Honda Research Institute Europe GmbH, Offenbach am Main, Germany", "street_adddress": "Carl-Legien-Stra\u00dfe 30, 63073 Offenbach am Main, Germany", "lat": "50.08472490", "lng": "8.84064370", "type": "company", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany", "source_name": "Max Planck Institute for Intelligent Systems in T\u00fcbingen, Germany", "street_adddress": "Max-Planck-Ring 4, 72076 T\u00fcbingen, Germany", "lat": "48.53574060", "lng": "9.05809890", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://www.cvlibs.net/publications/Fritsch2013ITSC.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728473", "http://doi.org/10.1109/ITSC.2013.6728473"]}, {"id": "605f5d08199b3202dd180590aef1a1648c0e309e", "title": "Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval", "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"}, {"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": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968473", "http://doi.org/10.1109/TMM.2017.2723841"]}, {"id": "025ceb084150433087cd9d3e6725ac439115e526", "title": "Controlling explanatory heatmap resolution and semantics via decomposition depth", "addresses": [{"name": "Korea University", "source_name": "Korea University", "street_adddress": "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "lat": "37.59014110", "lng": "127.03623180", "type": "edu", "country": "South Korea"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06463.pdf"], "doi": []}, {"id": "06e2178d029b78801c004e512d923f7ce7f9e8eb", "title": "3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/b949/b41677afb5635192a24ccdb7ec4ff7d6c889.pdf"], "doi": []}, {"id": "a738bd92c2be3b61b7a4b55c028550559b7d9d96", "title": "Selective Weakly Supervised Human Detection under Arbitrary Poses", "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": "2017", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/y-cai-pr-2017.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.025", "https://www.wikidata.org/entity/Q56524711"]}, {"id": "2814e52e0095c66ec24cf9ac4202ffb9b77c2706", "title": "Towards Automated Fish Detection Using Convolutional Neural Networks", "addresses": [{"name": "Northeastern University", "source_name": "Northeastern University", "street_adddress": "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8559068"]}, {"id": "dcc6bc3751191d0c4be131352d5a5bc5d0a26e19", "title": "Performance evaluation of CBIR system based on object detection and evolutionary computation", "addresses": [{"name": "Govt. College of Engineering, Amravati India", "source_name": "Govt. College of Engineering, Amravati India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "Govt. College of Engineering, Amravati, India", "source_name": "Govt. College of Engineering, Amravati, India", "street_adddress": "Gcoea, Amravati, Maharashtra 444604, India", "lat": "20.95721100", "lng": "77.75679980", "type": "edu", "country": "India"}, {"name": "MIT India", "source_name": "M.I.T. College of Engineering Pune, India", "street_adddress": "Survey No. 124, Paud Road, MIT College Campus Ex, Shivtirthanagar, Kothrud, Pune, Maharashtra 411038, India", "lat": "18.51937200", "lng": "73.81496070", "type": "edu", "country": "India"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7030849", "http://doi.org/10.1109/GCWCN.2014.7030849"]}, {"id": "0b9c5bfb4d8349bb3f6ddd6fb612b7f9657c93f8", "title": "Inverting and Visualizing Features for Object Detection", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.2278.pdf"], "doi": []}, {"id": "2774b83247331d10a87195290f8e9aa096640dde", "title": "Fast human detection using Node-Combined Part Detector", "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": "2011", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/caosong-icip-1569409401.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116493", "http://doi.org/10.1109/ICIP.2011.6116493"]}, {"id": "d1ff495047a47ea686cde7806cc04b377ef9984f", "title": "Augmented songbook: an augmented reality educational application for raising music awareness", "addresses": [{"name": "Universitat Aut\u00f2noma de Barcelona", "source_name": "Universitat Aut\u00f2noma de Barcelona", "street_adddress": "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "lat": "41.50078110", "lng": "2.11143663", "type": "edu", "country": "Spain"}, {"name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "source_name": "EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bic\u00eatre, France", "street_adddress": "14-16 Rue Voltaire, 94270 Le Kremlin-Bic\u00eatre, France", "lat": "48.81552200", "lng": "2.36297300", "type": "edu", "country": "France"}, {"name": "Universit\u00e9 de La Rochelle", "source_name": "L3i Laboratory, Universit\u00e9 de La Rochelle, La Rochelle cedex 1, France", "street_adddress": "Avenue Michel Cr\u00e9peau, 17042 La Rochelle, France", "lat": "46.14644230", "lng": "-1.15708720", "type": "edu", "country": "France"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4991-4"]}, {"id": "8448b75afec91e618ab1c2dade7d5500f6ae4289", "title": "The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking", "addresses": [{"name": "York University", "source_name": "York University", "street_adddress": "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "lat": "43.77439110", "lng": "-79.50481085", "type": "edu", "country": "Canada"}], "year": "2014", "pdf": ["http://vision.eecs.yorku.ca/publications/wildesPAMI2014.pdf", "http://www.cse.yorku.ca/vision/publications/wildesPAMI2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678506", "http://doi.org/10.1109/TPAMI.2013.233", "https://www.ncbi.nlm.nih.gov/pubmed/26353200", "https://www.wikidata.org/entity/Q50620276"]}, {"id": "5907ca4b91c8e8d846871e045bce9a4ca851053a", "title": "Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation", "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 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"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "2014", "pdf": ["http://eiger.ddns.comp.nus.edu.sg/pubs/fusionofmultichannelstructures-tip2014.pdf", "https://pdfs.semanticscholar.org/5907/ca4b91c8e8d846871e045bce9a4ca851053a.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6728663", "http://doi.org/10.1109/TIP.2014.2303650", "https://www.ncbi.nlm.nih.gov/pubmed/24723537"]}, {"id": "391e52ac04408d3e6496614ffafd6ac89c1b6c45", "title": "Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://ais.informatik.uni-freiburg.de/teaching/ws14/seminar_robotperception/papers/paper_02.pdf", "http://openaccess.thecvf.com/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Aubry_Seeing_3D_Chairs_2014_CVPR_paper.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/data/cvpr14_Seeing3DChairs.pdf", "http://www.di.ens.fr/willow/research/seeing3Dchairs/texts/Aubry14.pdf", "http://www.di.ens.fr/~josef/publications/aubry14.pdf", "https://hal.inria.fr/hal-01057240/file/Aubry14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.487", "http://doi.org/10.1109/CVPR.2014.487"]}, {"id": "a03c62d4206d4dd0ef4bf8312bfdb0d4971a1123", "title": "Modeling Visual Context Is Key to Augmenting Object Detection Datasets", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07428.pdf"], "doi": []}, {"id": "c38082dc5434f0ce4e03394c1187465037eda6bb", "title": "Alcohol Induced Alterations to the Human Fecal VOC Metabolome", "addresses": [{"name": "George Mason University", "source_name": "George Mason University", "street_adddress": "George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA", "lat": "38.83133325", "lng": "-77.30798839", "type": "edu", "country": "United States"}, {"name": "Utrecht University", "source_name": "Utrecht University, Utrecht, Netherlands", "street_adddress": "Domplein 29, 3512 JE Utrecht, Netherlands", "lat": "52.09015270", "lng": "5.12260180", "type": "edu", "country": "Netherlands"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c380/82dc5434f0ce4e03394c1187465037eda6bb.pdf"], "doi": []}, {"id": "424561d8585ff8ebce7d5d07de8dbf7aae5e7270", "title": "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7485869"]}, {"id": "1158de029ac516d1f073c8db46005f187eceb0ef", "title": "Region-Based Convolutional Networks for Accurate Object Detection and Segmentation", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7112511"]}, {"id": "feaedf4b24f8d7673c59659cadd4237c2a1dbc90", "title": "A large-scale solar image dataset with labeled event regions", "addresses": [{"name": "Montana State University", "source_name": "Montana State University, Bozeman, MT 59717, USA", "street_adddress": "Bozeman, MT 59717, USA", "lat": "45.66039860", "lng": "-111.04518180", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738896", "http://doi.org/10.1109/ICIP.2013.6738896", "https://www.wikidata.org/entity/Q57765181"]}, {"id": "5b93f70e05b1a1b4a7c2f03a82c9a5178a38cd61", "title": "Comparison of different real time VOC measurement techniques in a ponderosa pine forest", "addresses": [{"name": "University of Innsbruck", "source_name": "Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria", "street_adddress": "Innrain 52, 6020 Innsbruck, Austria", "lat": "47.26335420", "lng": "11.38380060", "type": "edu", "country": "Austria"}, {"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}, {"name": "University of Wisconsin Madison", "source_name": "University of Wisconsin Madison", "street_adddress": "University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA", "lat": "43.07982815", "lng": "-89.43066425", "type": "edu", "country": "United States"}, {"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/13da/36f4e6be3cd308cf77436c16baba1155278a.pdf"], "doi": []}, {"id": "2eb6caace8296fd4dfd4947efa4fe911c8e133b2", "title": "Measuring the Objectness of Image Windows", "addresses": [{"name": "ETH Z\u00fcrich", "source_name": "ETH Z\u00fcrich", "street_adddress": "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.37645340", "lng": "8.54770931", "type": "edu", "country": "Switzerland"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6133291"]}, {"id": "98a77dabca47f102da4c9259ad29ca0fd1e25e89", "title": "PET: An eye-tracking dataset for animal-centric Pascal object classes", "addresses": [{"name": "University of Illinois, Urbana-Champaign", "source_name": "University of Illinois, Urbana-Champaign", "street_adddress": "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu", "country": "United States"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177450"]}, {"id": "00bc01bc02b4c602e28bbcc162fa33d449a1e0e6", "title": "Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"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": "2013", "pdf": ["https://pdfs.semanticscholar.org/00bc/01bc02b4c602e28bbcc162fa33d449a1e0e6.pdf"], "doi": []}, {"id": "b0204e6c7301281ec8460e5251cd7c3c83c40883", "title": "Pano-RSOD: A Dataset and Benchmark for Panoramic Road Scene Object 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"}, {"name": "China University of Geosciences", "source_name": "China University of Geosciences, Wuhan, China", "street_adddress": "388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073", "lat": "30.52715100", "lng": "114.40076200", "type": "edu", "country": "China"}, {"name": "Beijing Normal University", "source_name": "Beijing Normal University", "street_adddress": "\u5317\u4eac\u5e08\u8303\u5927\u5b66, 19, \u65b0\u8857\u53e3\u5916\u5927\u8857, \u897f\u57ce\u533a, 100875, \u4e2d\u56fd", "lat": "39.96014155", "lng": "116.35970438", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b020/4e6c7301281ec8460e5251cd7c3c83c40883.pdf"], "doi": []}, {"id": "0fb39e6d74e3166598e190b67a5ddb6f530ac49d", "title": "MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization", "addresses": [{"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "University of Sherbrooke", "source_name": "University of Sherbrooke, Sherbrooke, Canada", "street_adddress": "2500 Boulevard de l'Universit\u00e9, Sherbrooke, QC J1K 0A5, Canada", "lat": "45.37463260", "lng": "-71.93038130", "type": "edu", "country": "Canada"}, {"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Miovision Technologies Inc., Kitchener, Canada", "source_name": "Miovision Technologies Inc., Kitchener, Canada", "street_adddress": "137 Glasgow St, Kitchener, ON N2G 4X8, Canada", "lat": "43.45091180", "lng": "-80.51357790", "type": "company", "country": "Canada"}, {"name": "University of Waterloo", "source_name": "University of Waterloo", "street_adddress": "University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada", "lat": "43.47061295", "lng": "-80.54724732", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8387876", "http://doi.org/10.1109/TIP.2018.2848705", "https://www.ncbi.nlm.nih.gov/pubmed/29994117"]}, {"id": "e8f6838a552919eee7b61be745888f2d4c480e22", "title": "Vision-Based Parking-Slot Detection: A DCNN-Based Approach and a Large-Scale Benchmark Dataset", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://sse.tongji.edu.cn/linzhang/files/parkingslot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8412601", "http://doi.org/10.1109/TIP.2018.2857407", "https://www.ncbi.nlm.nih.gov/pubmed/30028704"]}, {"id": "b183947ee15718b45546eda6b01e179b9a95421f", "title": "Edge Boxes: Locating Object Proposals from Edges", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930391.pdf", "http://vision.ucsd.edu/~pdollar/files/papers/ZitnickDollarECCV14edgeBoxes.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/ZitnickDollarECCV14edgeBoxes.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_26"]}, {"id": "cc8a2a5e8c777d2b1cf33220ab5cc28b242afc6e", "title": "Generating Large Scale Image Datasets from 3 D CAD Models", "addresses": [{"name": "University of Massachusetts Lowell", "source_name": "Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), University of Massachusetts Lowell, 01854, USA", "street_adddress": "220 Pawtucket St, Lowell, MA 01854, USA", "lat": "42.65525870", "lng": "-71.32471640", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cc8a/2a5e8c777d2b1cf33220ab5cc28b242afc6e.pdf"], "doi": []}, {"id": "322a7dad274f440a92548faa8f2b2be666b2d01f", "title": "Pyramid Scene Parsing Network", "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": "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/1612.01105.pdf"], "doi": []}, {"id": "b724c3f7ff395235b62537203ddeb710f0eb27bb", "title": "R-FCN: Object Detection via Region-based Fully Convolutional Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06409.pdf"], "doi": []}, {"id": "cfa6b08140d43fe8480987a03991268d804f6755", "title": "The impact of speciated VOCs on regional ozone increment derived from measurements at the UK EMEP supersites between 1999 and 2012", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/003c/ef920309c47bb9190c422c1c203a37622c09.pdf"], "doi": []}, {"id": "88bde2b1b4522c726d331218ce7fc6e1b27d8dde", "title": "Is object localization for free? - Weakly-supervised learning with convolutional neural networks", "addresses": [{"name": "INRIA Paris", "source_name": "RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France", "street_adddress": "2 Rue Simone IFF, 75012 Paris, France", "lat": "48.84162120", "lng": "2.38448010", "type": "edu", "country": "France"}, {"name": "INRIA, Paris, France", "source_name": "WILLOW project-team, Laboratoire d'Informatique de l'\u00c9cole Normale Sup\u00e9rieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France", "street_adddress": "45 Rue d'Ulm, 75005 Paris, France", "lat": "48.84220580", "lng": "2.34516890", "type": "edu", "country": "France"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298668"]}, {"id": "455da02e5048dffb51fb6ab5eb8aeca5926c9d9a", "title": "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition", "addresses": [{"name": "Xi\u2019an Jiaotong University", "source_name": "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "street_adddress": "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "lat": "34.25080300", "lng": "108.98369300", "type": "edu", "country": "China"}, {"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005506"]}, {"id": "2fa1f1fc566a0b770b1f39ed5ca1e602a28a5636", "title": "Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.04143.pdf"], "doi": []}, {"id": "e56bb892c581f682052ddd3896c65a2b29e64612", "title": "Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02734.pdf"], "doi": []}, {"id": "9217e28b2273eb3b26e4e9b7b498b4661e6e09f5", "title": "Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02611.pdf"], "doi": []}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "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": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780965"]}, {"id": "a3d96844dc4fc3b51f3b8361c72f156800794251", "title": "BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01640.pdf"], "doi": []}, {"id": "f986968735459e789890f24b6b277b0920a9725d", "title": "Places: A 10 Million Image Database for Scene Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}, {"name": "Universitat Oberta de Catalunya", "source_name": "Universitat Oberta de Catalunya", "street_adddress": "Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Proven\u00e7als del Poblenou, Sant Mart\u00ed, Barcelona, BCN, CAT, 08018, Espa\u00f1a", "lat": "41.40657415", "lng": "2.19453410", "type": "edu", "country": "Spain"}], "year": "2018", "pdf": ["http://places2.csail.mit.edu/PAMI_places.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7968387", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2723009", "http://doi.org/10.1109/TPAMI.2017.2723009", "https://www.ncbi.nlm.nih.gov/pubmed/28692961"]}, {"id": "98bb60748eb8ef7a671cdd22faa87e377fd13060", "title": "Part-based R-CNNs for Fine-grained Category Detection", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.3867.pdf"], "doi": []}, {"id": "428017f7a6df4d667275c7ac9b3feba39b70e4ae", "title": "CNN-RNN: A Unified Framework for Multi-label Image Classification", "addresses": [{"name": "Horizon Robotics", "source_name": "Horizon Robotics", "street_adddress": "317 3F 1 Zhongguancun Street Haidian District Beijing, 100190 China", "lat": "39.97558000", "lng": "116.31126000", "type": "company", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04573.pdf"], "doi": []}, {"id": "0171bdeb1c6e333287be655c667cfba5edb89b76", "title": "Aggregated Residual Transformations for Deep Neural Networks", "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/1611.05431.pdf"], "doi": []}, {"id": "6f9f143ec602aac743e07d092165b708fa8f1473", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling", "addresses": [{"name": "University of Cambridge", "source_name": "University of Cambridge", "street_adddress": "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "lat": "52.17638955", "lng": "0.14308882", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07293.pdf"], "doi": []}, {"id": "061356704ec86334dbbc073985375fe13cd39088", "title": "Very Deep Convolutional Networks for Large-Scale Image Recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.1556.pdf"], "doi": []}, {"id": "5d165ff5b0b389e32809c17838a2afc218a91d62", "title": "Object Detectors Emerge in Deep Scene CNNs", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.6856.pdf"], "doi": []}, {"id": "0f2f4edb7599de34c97f680cf356943e57088345", "title": "Stacked Hourglass Networks for Human Pose Estimation", "addresses": [{"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": "2016", "pdf": ["https://arxiv.org/pdf/1603.06937.pdf"], "doi": []}, {"id": "0cb53a5ef780f037c1f2fd7de1f748b3f81726bc", "title": "FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.12347.pdf"], "doi": []}, {"id": "1c2c978faad6f27e05cf9e3fca509132ace8fae4", "title": "Beyond PASCAL: A benchmark for 3D object detection in the wild", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of 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": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836101"]}, {"id": "a6d030101caa64f4972760afb2719cee30511909", "title": "SUN RGB-D: A RGB-D scene understanding benchmark suite", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298655"]}, {"id": "ee4a012a4b12d11d7ab8c0e79c61e807927a163c", "title": "Rethinking Atrous Convolution for Semantic Image Segmentation", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.05587.pdf"], "doi": []}, {"id": "7a96765c147c9c814803c8c9de28a1dd069271da", "title": "SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation", "addresses": [{"name": "Cambridge University", "source_name": "Cambridge University", "street_adddress": "University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK", "lat": "50.79440260", "lng": "-1.09717480", "type": "edu", "country": "United Kingdom"}, {"name": "Technion", "source_name": "Technion", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "2014", "pdf": ["http://arxiv.org/pdf/1408.3456", "http://ie.technion.ac.il/~roiri/papers/simLex-arxiv.pdf", "http://www.aclweb.org/anthology/J/J15/J15-4004.pdf", "https://arxiv.org/pdf/1408.3456.pdf"], "doi": ["https://doi.org/10.1162/COLI_a_00237", "http://aclweb.org/anthology/J15-4004", "https://www.wikidata.org/entity/Q28732668"]}, {"id": "0690ba31424310a90028533218d0afd25a829c8d", "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.7062.pdf"], "doi": []}, {"id": "3647d6d0f151dc05626449ee09cc7bce55be497e", "title": "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04861.pdf"], "doi": []}, {"id": "dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c", "title": "Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird\u2019s \u2013Eye View", "addresses": [{"name": "Electronics and Telecommunications Research Institute, Korea", "source_name": "Electronics and Telecommunications Research Institute, Korea", "street_adddress": "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22537080", "lng": "126.84618340", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539407", "http://doi.org/10.1109/ICTC.2018.8539407"]}, {"id": "342786659379879f58bf5c4ff43c84c83a6a7389", "title": "Simultaneous Detection and Segmentation", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.1808.pdf"], "doi": []}, {"id": "e94183191183a368bf07eb544654bae4b3cbf407", "title": "DSSD : Deconvolutional Single Shot Detector", "addresses": [{"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.06659.pdf"], "doi": []}, {"id": "0ea75bdc42997d7d7e7bbee26db0d01e3019d8bc", "title": "Object Pose Dataset using Discriminatively Trained Deformable Part Models", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}, {"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"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0ea7/5bdc42997d7d7e7bbee26db0d01e3019d8bc.pdf"], "doi": []}, {"id": "db7d44d14d393d21a95d22c0d6132d9faa197b7d", "title": "Interactive comment on \u201c What effect does VOC sampling time have on derived OH reactivity ? \u201d by", "addresses": [{"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wuppertal", "source_name": "Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany", "street_adddress": "Gau\u00dfstra\u00dfe 20, 42119 Wuppertal, Germany", "lat": "51.24500000", "lng": "7.14950000", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cc59/6c392c1367be2f78600a092de090e086ecd2.pdf"], "doi": []}, {"id": "76d6a8b09432b4ae59d1e3606e1bf1ed0448e8ec", "title": "What effect does VOC sampling time have on derived OH 1 reactivity ? 2 3", "addresses": [{"name": "University of Leicester", "source_name": "University of Leicester, Leicester, Unithed Kingdom", "street_adddress": "University Rd, Leicester LE1 7RH, UK", "lat": "52.62113930", "lng": "-1.12463250", "type": "edu", "country": "United Kingdom"}, {"name": "University of York", "source_name": "University of York", "street_adddress": "University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu", "country": "United Kingdom"}, {"name": "University of Wuppertal", "source_name": "Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany", "street_adddress": "Gau\u00dfstra\u00dfe 20, 42119 Wuppertal, Germany", "lat": "51.24500000", "lng": "7.14950000", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fe78/29d0620f3173581b93c78d6310740812fa09.pdf"], "doi": []}, {"id": "81fc84cb71dc61e3411e80129b082243d2c5b248", "title": "Optimizing Data Augmentation for Semantic Segmentation on Small-Scale Dataset", "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": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3341020"]}, {"id": "14d9be7962a4ec5a6e55755f4c7588ea00793652", "title": "Return of the Devil in the Details: Delving Deep into Convolutional Nets", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.3531.pdf"], "doi": []}, {"id": "5f963e85c75db44fbd4234ff1d2744f94d1231da", "title": "Salient Object Detection: A Benchmark", "addresses": [{"name": "University of Wisconsin", "source_name": "University of Wisconsin, Madison, USA", "street_adddress": "Madison, WI 53706, USA", "lat": "43.07659200", "lng": "-89.41248750", "type": "edu", "country": "United States"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7293665"]}, {"id": "e4845fb1e624965d4f036d7fd32e8dcdd2408148", "title": "YOLOv3: An Incremental Improvement", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02767.pdf"], "doi": []}, {"id": "428db42e86f6d51292e23fa57797e35cecd0e2ee", "title": "Hypercolumns for object segmentation and fine-grained localization", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298642"]}, {"id": "080aebd2cc1019f17e78496354c37195560b0697", "title": "MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems", "addresses": [{"name": "TuSimple", "source_name": "TuSimple", "street_adddress": "9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA", "lat": "32.87344550", "lng": "-117.20656360", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01274.pdf"], "doi": []}, {"id": "325d145af5f38943e469da6369ab26883a3fd69e", "title": "Colorful Image Colorization", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08511.pdf"], "doi": []}, {"id": "1109b663453e78a59e4f66446d71720ac58cec25", "title": "OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks", "addresses": [{"name": "Courant Institute of Mathematical Sciences", "source_name": "Courant Institute of Mathematical Sciences", "street_adddress": "Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "lat": "40.72864840", "lng": "-73.99568630", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.6229.pdf"], "doi": []}, {"id": "722fcc35def20cfcca3ada76c8dd7a585d6de386", "title": "Caffe: Convolutional Architecture for Fast Feature Embedding", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}, {"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2654889"]}, {"id": "6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4", "title": "Deep Learning Face Attributes in the Wild", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410782"]}, {"id": "07045f87709d0b7b998794e9fa912c0aba912281", "title": "U-Net: Convolutional Networks for Biomedical Image Segmentation", "addresses": [{"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04597.pdf"], "doi": []}, {"id": "27ce4b367bf52854efa10adab729b484dcf315aa", "title": "Deep filter banks for texture recognition and segmentation", "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"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299007"]}, {"id": "2a4fc35acaf09517e9c63821cadd428a84832416", "title": "Learning object class detectors from weakly annotated video", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "INRIA Grenoble", "source_name": "INRIA Grenoble Rhone-Alpes, FRANCE", "street_adddress": "INRIA, 655, Avenue de l'Europe, Innovall\u00e9e Montbonnot, Montbonnot-Saint-Martin, Grenoble, Is\u00e8re, Auvergne-Rh\u00f4ne-Alpes, France m\u00e9tropolitaine, 38330, France", "lat": "45.21829860", "lng": "5.80703193", "type": "edu", "country": "France"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["http://webdiis.unizar.es/~jcivera/papers/prest_etal_cvpr12.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00905.pdf", "http://www.vision.ee.ethz.ch/publications/papers/proceedings/eth_biwi_00905.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248065", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248065", "http://doi.org/10.1109/CVPR.2012.6248065"]}, {"id": "47643d5e70a4c8e266f47c1b87997b55768722d2", "title": "A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds", "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": "2019", "pdf": ["https://pdfs.semanticscholar.org/4764/3d5e70a4c8e266f47c1b87997b55768722d2.pdf"], "doi": []}, {"id": "d414e23d02fb43c35f9173d3f54af7035d51101d", "title": "Take Goods from Shelves: A Dataset for Class-Incremental Object Detection", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3325033"]}, {"id": "0c516f0a648258c467b164bc7aff9779ae68726c", "title": "Impact of artificial dataset enlargement on performance of deformable part models", "addresses": [{"name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "source_name": "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Y\u0131ld\u0131z Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "street_adddress": "\u00c7ifte Havuzlar Mahallesi, 34220 Esenler/\u0130stanbul, Turkey", "lat": "41.02862840", "lng": "28.89049070", "type": "edu", "country": "Turkey"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7495710"]}, {"id": "273b9b7c63ac9196fb12734b49b74d0523ca4df4", "title": "The Secrets of Salient Object Segmentation", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2807.pdf"], "doi": []}, {"id": "49ca83ef6277581ac2b8bf7c121cf8d1f222992e", "title": "Generalized Multiview Analysis: A discriminative latent space", "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": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247923"]}, {"id": "3f3a483402a3a2b800cf2c86506a37f6ef1a5332", "title": "DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}, {"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06645.pdf"], "doi": []}, {"id": "022c485c5617bbf0b7f40475f9758cddd11a91af", "title": "Describing Textures in the Wild", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "Toyota Technological Institute", "source_name": "Toyota Technological Institute", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1311.3618.pdf"], "doi": []}, {"id": "1abf6491d1b0f6e8af137869a01843931996a562", "title": "ParseNet: Looking Wider to See Better.", "addresses": [{"name": "UNC Chapel Hill", "source_name": "UNC Chapel Hill, NC, 27599", "street_adddress": "Chapel Hill, NC, USA", "lat": "35.90491220", "lng": "-79.04691340", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04579.pdf"], "doi": []}, {"id": "2157f202c8c89d924dd4da4d1bcf92d16fcd8893", "title": "Image database TID2013: Peculiarities, results and perspectives", "addresses": [{"name": "Tampere University", "source_name": "Tampere University, Finland, Tampere, Finland", "street_adddress": "Kalevantie 4, 33100 Tampere, Finland", "lat": "61.49364940", "lng": "23.77885280", "type": "edu", "country": "Finland"}], "year": "2015", "pdf": ["http://mcl.usc.edu/wp-content/uploads/2016/01/1-s2.0-S0923596514001490-main.pdf", "http://www.researchgate.net/profile/Vladimir_Lukin2/publication/268038378_Image_database_TID2013_Peculiarities_results_and_perspectives/links/5469a6b50cf20dedafd0e2fd.pdf"], "doi": ["https://doi.org/10.1016/j.image.2014.10.009", "https://doi.org/10.1016/j.image.2014.10.009", "https://www.wikidata.org/entity/Q61711236"]}, {"id": "063c6ae786c34d3722c6d9060df6339e246bbc3b", "title": "Texture Synthesis Using Convolutional Neural Networks", "addresses": [{"name": "Max Planck Institute for Biological Cybernetics", "source_name": "Max Planck Institute for Biological Cybernetics", "street_adddress": "Max-Planck-Institut f\u00fcr Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, T\u00fcbingen, Landkreis T\u00fcbingen, Regierungsbezirk T\u00fcbingen, Baden-W\u00fcrttemberg, 72076, Deutschland", "lat": "48.53691250", "lng": "9.05922533", "type": "edu", "country": "Germany"}, {"name": "Baylor College of Medicine, Houston, TX, USA", "source_name": "Baylor College of Medicine, Houston, TX, USA", "street_adddress": "1 Baylor Plaza, Houston, TX 77030, USA", "lat": "29.71052900", "lng": "-95.39624100", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.07376.pdf"], "doi": []}, {"id": "6b1ac8e438041ac02cc8fab5762ca069c386f473", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/%7Ekdtang/papers/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "fad0f098e178cf7f3065b282721509290ecf738c", "title": "Adversarial Learning for Semi-supervised Semantic Segmentation", "addresses": [{"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"}, {"name": "National Taiwan University", "source_name": "National Taiwan University", "street_adddress": "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "lat": "25.01682835", "lng": "121.53846924", "type": "edu", "country": "Taiwan"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07934.pdf"], "doi": []}, {"id": "416a242f24246f8ee2c00f4d3d1561443dc65b59", "title": "Fully Connected Deep Structured Networks", "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": "2015", "pdf": ["https://arxiv.org/pdf/1503.02351.pdf"], "doi": []}, {"id": "1a767a8af36252bb557117c021393292d8a83b24", "title": "Generic Object Detection With Dense Neural Patterns and Regionlets", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.4316.pdf"], "doi": []}, {"id": "091458abbf195dcf9ce9591ec5ab981e6a8fb68a", "title": "From image-level to pixel-level labeling with Convolutional Networks", "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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298780"]}, {"id": "bea705a6a3793ffa2f61c33a82b759ad9f706947", "title": "Pyramid Attention Network for Semantic Segmentation", "addresses": [{"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "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": "2018", "pdf": ["https://arxiv.org/pdf/1805.10180.pdf"], "doi": []}, {"id": "465cd01133c41f4b518fc118db54549fa04c4cd4", "title": "Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6459040"]}, {"id": "0e01db4197f71450118f81ae5a69ce4916b46421", "title": "Weakly-supervised Discovery of Visual Pattern Configurations", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6507.pdf"], "doi": []}, {"id": "d7ddad7bbda29de7676c21bfeac6be2ce0a07d6f", "title": "Dual Path Networks", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Beijing Institute of Technology", "source_name": "Beijing Institute of Technology University", "street_adddress": "\u5317\u4eac\u7406\u5de5\u5927\u5b66, 5, \u4e2d\u5173\u6751\u5357\u5927\u8857, \u4e2d\u5173\u6751, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100872, \u4e2d\u56fd", "lat": "39.95866520", "lng": "116.30971281", "type": "edu", "country": "China"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01629.pdf"], "doi": []}, {"id": "b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe", "title": "Subcategory-Aware Object Classification", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"name": "Panasonic Singapore Laboratories", "source_name": "Panasonic Singapore Laboratories", "street_adddress": "Singapore", "lat": "1.33648800", "lng": "103.89329250", "type": "company", "country": "Singapore"}], "year": "2013", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a827.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Dong_Subcategory-Aware_Object_Classification_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618956", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.112", "http://doi.org/10.1109/CVPR.2013.112"]}, {"id": "4eee87d960754f755fdec073a160af3e2e31672f", "title": "PSANet: Point-wise Spatial Attention Network for Scene Parsing", "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": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCV_2018/papers/Hengshuang_Zhao_PSANet_Point-wise_Spatial_ECCV_2018_paper.pdf", "https://staff.ie.cuhk.edu.hk/~ccloy/files/eccv_2018_psanet.pdf", "https://staff.ie.cuhk.edu.hk/~ccloy/files/eccv_2018_psanet_supp.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01240-3_17"]}, {"id": "054756fa720bdcf1d320ad7a353e54ca53d4d3af", "title": "Semantic part segmentation using compositional model combining shape and appearance", "addresses": [{"name": "UCLA", "source_name": "University of California, Los Angeles", "street_adddress": "Los Angeles, CA 90095, USA", "lat": "34.06892100", "lng": "-118.44518110", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6124.pdf"], "doi": []}, {"id": "d6a799e64879290efb2a5c1b4f490737f0b1ab98", "title": "DSOD: Learning Deeply Supervised Object Detectors from Scratch", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.01241.pdf"], "doi": []}, {"id": "3d0660e18c17db305b9764bb86b21a429241309e", "title": "Counting Everyday Objects in Everyday Scenes", "addresses": [{"name": "Virginia Tech", "source_name": "Virginia Tech", "street_adddress": "Blacksburg, VA 24061, USA", "lat": "37.22838430", "lng": "-80.42341670", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03505.pdf"], "doi": []}, {"id": "0ebbc37e8c1e9766dc0ccf3780a824a30ad9d62e", "title": "Weakly- and Semi-supervised Panoptic Segmentation", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.03575.pdf"], "doi": []}, {"id": "60d5e6495fe87a09ceb7c39db8923f9957809a81", "title": "Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2013", "pdf": ["https://arxiv.org/pdf/1705.03372.pdf"], "doi": []}, {"id": "b371a2555dfca39797e5045332e5baa2e82c2624", "title": "Weakly-Supervised Semantic Segmentation using Motion Cues", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07188.pdf"], "doi": []}, {"id": "e655c1688aae0ee4cc071fb13b29ef88511f5fe7", "title": "Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}, {"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e655/c1688aae0ee4cc071fb13b29ef88511f5fe7.pdf"], "doi": []}, {"id": "ae587a4a8842fbe01b9a043b66f762a89dca5074", "title": "Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06254.pdf"], "doi": []}, {"id": "7c2897f6c8c79879a3152f14e791c3a3d1822163", "title": "Where Are the Blobs: Counting by Localization with Point Supervision", "addresses": [{"name": "University of British Columbia", "source_name": "University of British Columbia", "street_adddress": "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "lat": "49.25839375", "lng": "-123.24658161", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09856.pdf"], "doi": []}, {"id": "1f45b6d800108a277f4b2866420eefee3d2581e0", "title": "Deeply Learning the Messages in Message Passing Inference", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.02108.pdf"], "doi": []}, {"id": "da55a255bc5b72bc90c017d97869ece4c6353bcd", "title": "Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting", "addresses": [{"name": "University of Technology", "source_name": "Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia", "street_adddress": "Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia", "lat": "-33.88405040", "lng": "151.19922540", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7159101"]}, {"id": "b61c0b11b1c25958d202b4f7ca772e1d95ee1037", "title": "Bridging Category-level and Instance-level Semantic Image Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06885.pdf"], "doi": []}, {"id": "3070a1bd503c3767def898bbd50c7eea2bbf29c9", "title": "Wider or Deeper: Revisiting the ResNet Model for Visual Recognition", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.10080.pdf"], "doi": []}, {"id": "d612a1dd7aa359f1e315a22a825936b4dcb641e2", "title": "Weakly Supervised Region Proposal Network and Object Detection", "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": "University of Texas at Arlington", "source_name": "University of Texas at Arlington", "street_adddress": "University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu", "country": "United States"}, {"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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"}, {"name": "The Johns Hopkins University", "source_name": "The Johns Hopkins University, Center for Language and Speech Processing, USA", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCV_2018/papers/Peng_Tang_Weakly_Supervised_Region_ECCV_2018_paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01252-6_22"]}, {"id": "26c9e57116061594ef843141a6a8bc49759f766c", "title": "Beyond Physical Connections: Tree Models in Human Pose Estimation", "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": "2013", "pdf": ["https://arxiv.org/pdf/1305.2269.pdf"], "doi": []}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "addresses": [{"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_60"]}, {"id": "54d97ea9a5f92761dddd148fb0e602c2293e7c16", "title": "Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation", "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": "NanKai University", "source_name": "College of Information Technical Science, NanKai University, CITS, TianJin, China", "street_adddress": "China, Tianjin, Nankai, Lequn N Rd, \u5357\u5f00\u5927\u5b66\u7efc\u5408\u5b9e\u9a8c\u697cA\u533a604", "lat": "39.10335500", "lng": "117.16492700", "type": "edu", "country": "China"}, {"name": "Cardiff University", "source_name": "Cardiff University", "street_adddress": "Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK", "lat": "51.48799610", "lng": "-3.17969747", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/54d9/7ea9a5f92761dddd148fb0e602c2293e7c16.pdf"], "doi": []}, {"id": "4d653b19ce1c7cba79fc2f11271fb90f7744c95c", "title": "Light-Weight RefineNet for Real-Time Semantic Segmentation", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03272.pdf"], "doi": []}, {"id": "247ca98c5a46616044cf6ae32b0d5b4140a7a161", "title": "High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks", "addresses": [{"name": "University of Adelaide", "source_name": "University of Adelaide", "street_adddress": "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "lat": "-34.91892260", "lng": "138.60423668", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04339.pdf"], "doi": []}, {"id": "3f0214808397b0adbc14a5139bc8d811019a23e1", "title": "One-Shot Learning for Semantic Segmentation", "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/1709.03410.pdf"], "doi": []}, {"id": "b5f2846a506fc417e7da43f6a7679146d99c5e96", "title": "UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1212.0402.pdf"], "doi": []}, {"id": "276ebc620a8976026bd2d03582b9ecfa3738d43c", "title": "The MovieLens Datasets: History and Context", "addresses": [{"name": "University of Minnesota", "source_name": "University of Minnesota", "street_adddress": "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "lat": "44.97308605", "lng": "-93.23708813", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2827872"]}, {"id": "187480101af3fb195993da1e2c17d917df24eb23", "title": "Unsupervised Visual Representation Learning by Context Prediction", "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": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.05192.pdf"], "doi": []}, {"id": "2c51c8da2f82a956e633049616b1bb7730faa2da", "title": "Context Aware Computing for The Internet of Things: A Survey", "addresses": [{"name": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512846"]}, {"id": "4aa4069693bee00d1b0759ca3df35e59284e9845", "title": "DeViSE: A Deep Visual-Semantic Embedding Model", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/85ac/48c3cc267671fd948ec1ae4c55ccbdd17ed6.pdf"], "doi": []}, {"id": "446fbff6a2a7c9989b0a0465f960e236d9a5e886", "title": "Context Encoders: Feature Learning by Inpainting", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07379.pdf"], "doi": []}, {"id": "0b102b38463b3e1b133c5f237b8782474b4b04b4", "title": "State-of-the-Art in Visual Attention Modeling", "addresses": [{"name": "University of Southern California (USC)", "source_name": "Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180177"]}, {"id": "7845f1d3e796b5704d4bd37a945e0cf3fb8bbf1f", "title": "Multiple Object Recognition with Visual Attention", "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": "2015", "pdf": ["https://arxiv.org/pdf/1412.7755.pdf"], "doi": []}, {"id": "c71db5d3546e22227662ee0f0ce586495ef18899", "title": "SALICON: Saliency in Context", "addresses": [{"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/salicon_cvpr15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_117_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Jiang_SALICON_Saliency_in_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298710", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298710", "http://doi.org/10.1109/CVPR.2015.7298710"]}, {"id": "142f38642629b9d268999ad876af482177d36697", "title": "Improving Word Representations via Global Context and Multiple Word Prototypes", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/e3e9/b5257e02608794a1d0396b469869e6021d9c.pdf"], "doi": []}, {"id": "39f63dbdce9207b87878290c0e3983e84cfcecd9", "title": "Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition", "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": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5740583"]}, {"id": "29efbe391950ae438c63d86ad5c82b2942efb0b4", "title": "Modeling Context in Referring Expressions", "addresses": [{"name": "University of North Carolina at Chapel Hill", "source_name": "University of North Carolina at Chapel Hill", "street_adddress": "University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA", "lat": "35.91139710", "lng": "-79.05045290", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.00272.pdf"], "doi": []}, {"id": "c18a227461e6b3d38fa4515e287432fad8213838", "title": "The Visual Object Tracking VOT2016 Challenge Results", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}, {"name": "University of Birmingham", "source_name": "University of Birmingham", "street_adddress": "University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK", "lat": "52.45044325", "lng": "-1.93196134", "type": "edu", "country": "United Kingdom"}, {"name": "Czech Technical University", "source_name": "Czech Technical University", "street_adddress": "\u010cesk\u00e9 vysok\u00e9 u\u010den\u00ed technick\u00e9 v Praze, Resslova, Nov\u00e9 M\u011bsto, Praha, okres Hlavn\u00ed m\u011bsto Praha, Hlavn\u00ed m\u011bsto Praha, Praha, 11121, \u010cesko", "lat": "50.07642960", "lng": "14.41802312", "type": "edu", "country": "Czech Republic"}, {"name": "Austrian Institute of Technology", "source_name": "Austrian Institute of Technology, Donau-City-Stra\u00dfe 1, Vienna, Austria", "street_adddress": "Giefinggasse 4, 1210 Wien, Austria", "lat": "48.26918060", "lng": "16.42674260", "type": "edu", "country": "Austria"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e508/2b6f3fcd9cef29331214d91bac3c5b9ef544.pdf"], "doi": []}, {"id": "a8f24fcc1eb0354ffd91f0e3031f5c4dc3e02dd6", "title": "R-FCN: Object Detection via Region-based Fully Convolutional Networks", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06409.pdf"], "doi": []}, {"id": "14421119527aa5882e1552a651fbd2d73bc94637", "title": "Searching for objects driven by context", "addresses": [{"name": "ETH Zurich", "source_name": "ETH Zurich", "street_adddress": "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "lat": "47.37631300", "lng": "8.54766990", "type": "edu", "country": "Switzerland"}, {"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}, {"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9b81/86b6bc1e05d7a473d2afebc8a12698d88691.pdf"], "doi": []}, {"id": "1c42b5543c315556c8a961b1a4ee8bc027f70b22", "title": "Accurate Scale Estimation for Robust Visual Tracking", "addresses": [{"name": "Link\u00f6ping University", "source_name": "Computer Vision Laboratory, Link\u00f6ping University, Link\u00f6ping, Sweden", "street_adddress": "581 83 Link\u00f6ping, Sweden", "lat": "58.39783640", "lng": "15.57600720", "type": "edu", "country": "Sweden"}, {"name": "Link\u00f6ping, Sweden", "source_name": "Link\u00f6ping, Sweden", "street_adddress": "Link\u00f6ping, Sweden", "lat": "58.41080700", "lng": "15.62137280", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9636/975226da25acb5d285681870c3abe66116e9.pdf"], "doi": []}, {"id": "7069a994c150b0228c4e471ca48ed55d7646bc62", "title": "Fast Visual Tracking via Dense Spatio-temporal Context Learning", "addresses": [{"name": "Nanjing University of Information Science & Technology", "source_name": "Nanjing University of Information Science & Technology, Nanjing, People\u2019s Republic of China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/eccv14_stc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930127.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10602-1_9", "https://www.wikidata.org/entity/Q57809194"]}, {"id": "a56ed0bc2d69094e351a044ae8bc64ca0da691f8", "title": "SVO: Fast semi-direct monocular visual odometry", "addresses": [{"name": "University of Zurich", "source_name": "University of Zurich", "street_adddress": "ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Z\u00fcrich, 8400, Schweiz/Suisse/Svizzera/Svizra", "lat": "47.49684760", "lng": "8.72981767", "type": "edu", "country": "Switzerland"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6906584"]}, {"id": "2a049d7f943db9f5e4e9e244f18da68189a0c880", "title": "Multiple Kernel Learning for Visual Object Recognition: A Review", "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": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654166"]}, {"id": "a2ca5733c08aa206337141f41e746ceb19953037", "title": "Task context impacts visual object processing differentially across the cortex.", "addresses": [{"name": "National Institutes of Health", "source_name": "National Institutes of Health", "street_adddress": "NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a2ca/5733c08aa206337141f41e746ceb19953037.pdf"], "doi": []}, {"id": "2ac63e298fd3454099cf7d4851756da1de36c41c", "title": "Visual Object Tracking Performance Measures Revisited", "addresses": [{"name": "University of Ljubljana", "source_name": "University of Ljubljana", "street_adddress": "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "lat": "46.05015580", "lng": "14.46907327", "type": "edu", "country": "Slovenia"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7389405"]}, {"id": "371f40f6d32ece05cc879b6954db408b3d4edaf3", "title": "Mining semantic affordances of visual object categories", "addresses": [{"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": "2015", "pdf": ["http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/chao_cvpr2015_poster.pdf", "http://www-personal.umich.edu/~ywchao/publications/chao_cvpr2015.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2B_100_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Chao_Mining_Semantic_Affordances_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299054", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7299054", "http://doi.org/10.1109/CVPR.2015.7299054"]}, {"id": "616b7093cfe6ec679f25d63f62c16e937227258f", "title": "Bayesian Multi-object Tracking Using Motion Context from Multiple Objects", "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": ["http://faculty.ucmerced.edu/mhyang/papers/wacv15_mot.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045866", "http://doi.ieeecomputersociety.org/10.1109/WACV.2015.12", "http://doi.org/10.1109/WACV.2015.12"]}, {"id": "97f8f968c69cb2b469d2f151e6957d6487cb6b30", "title": "Saliency detection by multi-context deep learning", "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"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298731"]}, {"id": "cef80e5c6012739fb23a90f8fd9218430a6496e3", "title": "Crowdsourcing Annotations for Visual Object Detection", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cf9d/aa503798c3d4e04131bc7bf01544666265d1.pdf"], "doi": []}, {"id": "14b4127ef56f57eab19bb48d80ec169e7b1be944", "title": "Deep Reinforcement Learning for Visual Object Tracking in Videos", "addresses": [{"name": "University of California at Santa Barbara", "source_name": "University of California, Santa Barbara, CA 93106 USA", "street_adddress": "Santa Barbara, CA 93106, USA", "lat": "34.41358680", "lng": "-119.84969760", "type": "edu", "country": "United States"}, {"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08936.pdf"], "doi": []}, {"id": "713f73ce5c3013d9fb796c21b981dc6629af0bd5", "title": "Deep Neural Networks for Object Detection", "addresses": [{"name": "Google", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/713f/73ce5c3013d9fb796c21b981dc6629af0bd5.pdf"], "doi": []}, {"id": "9e1a21c9af589fc2148ce96aa93c9df4a9e5ae02", "title": "Undoing the damage of dataset bias", "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": "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": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["http://people.csail.mit.edu/khosla/papers/eccv2012_khosla.pdf", "http://sunw.csail.mit.edu/2013/papers/Khosla_45_SUNw.pdf", "http://www.eecs.berkeley.edu/~tinghuiz/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33718-5_12", "http://repository.cmu.edu/cgi/viewcontent.cgi?article=1777&context=robotics"]}, {"id": "f523c55a0a8057c5b08add761353ca79946feb07", "title": "Visual Translation Embedding Network for Visual Relation Detection", "addresses": [{"name": "Columbia University", "source_name": "Columbia University", "street_adddress": "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08319.pdf"], "doi": []}, {"id": "5cb7e530a63d85d767f244f3c9f7903530312fd1", "title": "Reshaping Visual Datasets for Domain Adaptation", "addresses": [{"name": "U. of Southern California", "source_name": "U. of Southern California", "street_adddress": "Los Angeles, CA 90007, USA", "lat": "34.02235190", "lng": "-118.28511700", "type": "edu", "country": "United States"}, {"name": "U. of Texas at Austin", "source_name": "U. of Texas at Austin", "street_adddress": "Austin, TX 78712, USA", "lat": "30.28491850", "lng": "-97.73405670", "type": "edu", "country": "United States"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5cb7/e530a63d85d767f244f3c9f7903530312fd1.pdf"], "doi": []}, {"id": "5b03fed2831ac56fca15d033f2cfd584ce9cb04f", "title": "Active Visual Object Search in Unknown Environments Using Uncertain Semantics", "addresses": [{"name": "KTH Royal Institute of Technology, Stockholm", "source_name": "KTH   Royal Institute of Technology, Stockholm", "street_adddress": "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "lat": "59.34986645", "lng": "18.07063213", "type": "edu", "country": "Sweden"}, {"name": "University of Freiburg", "source_name": "Social Robotics Lab, University of Freiburg, Germany", "street_adddress": "Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany", "lat": "47.99354410", "lng": "7.84594960", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6507635"]}, {"id": "a4b7be9098847632b15d27ff1d0d04af93636b24", "title": "Visual co-occurrence network: using context for large-scale object recognition in retail", "addresses": [{"name": "SiliconScapes LLC, USA", "source_name": "SiliconScapes LLC, USA", "street_adddress": "United States", "lat": "37.09024000", "lng": "-95.71289100", "type": "company", "country": "United States"}, {"name": "The Pennsylvania State University", "source_name": "The Pennsylvania State University", "street_adddress": "Old Main, State College, PA 16801, USA", "lat": "40.79821330", "lng": "-77.85990840", "type": "edu", "country": "United States"}, {"name": "Toshiba", "source_name": "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "street_adddress": "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "lat": "35.54931130", "lng": "139.69201440", "type": "company", "country": "Japan"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7351774"]}, {"id": "55666928dda9989153d869e4d99251cfa009f0b7", "title": "Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.3284.pdf"], "doi": []}, {"id": "a564fabf130ff6e2742cfba90c7a4018937d764d", "title": "Radiology Objects in COntext (ROCO): A Multimodal Image Dataset", "addresses": [{"name": "TU Dortmund University", "source_name": "Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany", "street_adddress": "Emil-Figge-Stra\u00dfe 50, 44227 Dortmund, Germany", "lat": "51.49219020", "lng": "7.41413620", "type": "edu", "country": "Germany"}], "year": "2018", "pdf": ["https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04-ROCO_Labels_MICCAI_2018.pdf", "https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-01364-6_20", "https://www.wikidata.org/entity/Q57711936"]}, {"id": "5196f3f47be0b61ce3dcf495368771f352e0abba", "title": "Context as Supervisory Signal: Discovering Objects with Predictable Context", "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": "UC Berkeley, USA", "source_name": "UC Berkeley, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87159260", "lng": "-122.27274700", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://graphics.cs.cmu.edu/projects/contextPrediction/contextPrediction.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8691/86910362.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-10578-9_24"]}, {"id": "03eb382e04cca8cca743f7799070869954f1402a", "title": "CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06890.pdf"], "doi": []}, {"id": "cf79d83a4a9662d83c9a05b8e7cb5c88b316c023", "title": "Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition", "addresses": [{"name": "University of Tehran", "source_name": "College of Engineering, University of Tehran, Iran", "street_adddress": "Tehran Province, Tehran, N Kargar, Iran", "lat": "35.72626330", "lng": "51.38478130", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.03871.pdf"], "doi": []}, {"id": "1a4582ce17389f65f9c44c662b8140c306962e59", "title": "Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition", "addresses": [{"name": "Lund University", "source_name": "Lund University", "street_adddress": "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "lat": "55.70395710", "lng": "13.19020110", "type": "edu", "country": "Sweden"}, {"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": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6942210"]}, {"id": "184902b1ed5787a3ac9fd9840dde52502cf4bd3c", "title": "Object scene flow for autonomous vehicles", "addresses": [{"name": "Leibniz Universit\u00e4t Hannover, Germany", "source_name": "Leibniz Universität Hannover, Germany", "street_adddress": "Welfengarten 1, 30167 Hannover, Germany", "lat": "52.38296410", "lng": "9.71969890", "type": "edu", "country": "Germany"}, {"name": "MPI T\u00fcbingen, Germany", "source_name": "MPI Tübingen, Germany", "street_adddress": "Bingen, Germany", "lat": "49.96673960", "lng": "7.90459600", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_091_ext.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_abstract.pdf", "http://www.cvlibs.net/publications/Menze2015CVPR_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298925", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298925", "http://doi.org/10.1109/CVPR.2015.7298925"]}, {"id": "0aac1b61897c8e6b15112a2f67c83ff7cdc0e388", "title": "A Tree-Based Context Model for Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871649"]}, {"id": "13ccdfb9d2c2a77192c74ae6352bd684e312d0f8", "title": "Hypercolumns for object segmentation and fine-grained localization", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, {"name": "University of Califonia, Berkeley", "source_name": "University of Califonia, Berkeley, Berkeley, CA, USA", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298642"]}, {"id": "507a5f137deb46622ebfb2de996b04990db7eff8", "title": "Segmentation of unknown objects in indoor environments", "addresses": [{"name": "Vienna University of Technology", "source_name": "Vienna University of Technology", "street_adddress": "TU Wien, Hauptgeb\u00e4ude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, \u00d6sterreich", "lat": "48.19853965", "lng": "16.36986168", "type": "edu", "country": "Austria"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6385661"]}, {"id": "6ac3acd8c0cd3d6b234cb2c3f9ca747056c794e0", "title": "Spatially supervised recurrent convolutional neural networks for visual object tracking", "addresses": [{"name": "Huaqiao University", "source_name": "Huaqiao University", "street_adddress": "\u534e\u4fa8\u5927\u5b66\u7ad9 HuaQiao University (BRT), \u96c6\u7f8e\u5927\u9053, \u96c6\u7f8e\u533a, \u96c6\u7f8e\u533a (Jimei), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361024, \u4e2d\u56fd", "lat": "24.60047120", "lng": "118.08165740", "type": "edu", "country": "China"}, {"name": "University of Missouri", "source_name": "University of Missouri", "street_adddress": "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "lat": "38.92676100", "lng": "-92.29193783", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050867"]}, {"id": "410c8e4ee643889c054db64f52f6c85ec7cbcd62", "title": "All-Day Visual Place Recognition : Benchmark Dataset and Baseline", "addresses": [{"name": "Korea Advanced Institute of Science and Technology", "source_name": "Korea Advanced Institute of Science and Technology", "street_adddress": "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "lat": "36.36971910", "lng": "127.36253700", "type": "edu", "country": "South Korea"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/410c/8e4ee643889c054db64f52f6c85ec7cbcd62.pdf"], "doi": []}, {"id": "1a54a8b0c7b3fc5a21c6d33656690585c46ca08b", "title": "Fast Feature Pyramids for Object Detection", "addresses": [{"name": "California Institute of Technology", "source_name": "California Institute of Technology", "street_adddress": "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "lat": "34.13710185", "lng": "-118.12527487", "type": "edu", "country": "United States"}, {"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}, {"name": "Microsoft Research Redmond, Redmond, USA", "source_name": "Microsoft Research Redmond, Redmond, USA", "street_adddress": "14865 NE 36th St, Redmond, WA 98052, USA", "lat": "47.64183920", "lng": "-122.14074650", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["http://authors.library.caltech.edu/49239/7/DollarPAMI14pyramids_0.pdf", "http://pdollar.github.io/files/papers/DollarPAMI14pyramids.pdf", "http://research.microsoft.com/pubs/220572/DollarPAMI14pyramids.pdf", "https://vision.cornell.edu/se3/wp-content/uploads/2014/09/DollarPAMI14pyramids_0.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714453", "http://doi.org/10.1109/TPAMI.2014.2300479", "https://www.ncbi.nlm.nih.gov/pubmed/26353336", "https://www.wikidata.org/entity/Q40558128"]}, {"id": "10b987b076fe56e08c89693cdb7207c13b870540", "title": "Anticipating Visual Representations from Unlabeled Video", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "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": "2016", "pdf": ["https://arxiv.org/pdf/1504.08023.pdf"], "doi": []}, {"id": "356223d76a850b7d312eec36c70e2f90d78086cc", "title": "Object Categorization Using Local Feature Context", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "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": "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": "2013", "pdf": ["http://www.nlpr.ia.ac.cn/2013papers/gjhy/gh75.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-35728-2_31"]}, {"id": "bed7834ae7d371171977a590872f60d137c2f951", "title": "GuessWhat?! Visual Object Discovery through Multi-modal Dialogue", "addresses": [{"name": "University of Montreal", "source_name": "University of Montreal, 2920 Chemin de la tour, QC, Canada, H3C 3J7", "street_adddress": "2920 Ch de la Tour, Montr\u00e9al, QC H3T 1N8, Canada", "lat": "45.50100870", "lng": "-73.61577780", "type": "edu", "country": "Canada"}, {"name": "INRIA", "source_name": "INRIA Grenoble Rhone-Alpes, Grenoble, France", "street_adddress": "655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France", "lat": "45.21788600", "lng": "5.80736900", "type": "edu", "country": "France"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08481.pdf"], "doi": []}, {"id": "079495c84b68623d9b1d4d48809cc24c1eee0a7e", "title": "Natural Language Object Retrieval", "addresses": [{"name": "University of California, Berkeley", "source_name": "University of California, Berkeley", "street_adddress": "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "lat": "37.86871260", "lng": "-122.25586815", "type": "edu", "country": "United States"}, {"name": "National University of Singapore", "source_name": "National University of Singapore", "street_adddress": "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu", "country": "Singapore"}, {"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": "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": "2016", "pdf": ["https://arxiv.org/pdf/1511.04164.pdf"], "doi": []}, {"id": "df4f851e3c37017822a683b1356c6c390b5b5487", "title": "Image Question Answering: A Visual Semantic Embedding Model and a New Dataset", "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": "2015", "pdf": ["https://pdfs.semanticscholar.org/df4f/851e3c37017822a683b1356c6c390b5b5487.pdf"], "doi": []}, {"id": "f25b9aed37614aae007fc876f31eed0595ab9cd0", "title": "Modeling Context Between Objects for Referring Expression Understanding", "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": "2016", "pdf": ["https://arxiv.org/pdf/1608.00525.pdf"], "doi": []}, {"id": "4c56224a7904445e0db836257ac270a517ace36a", "title": "An Object-Oriented Visual Saliency Detection Framework Based on Sparse Coding Representations", "addresses": [{"name": "University of Georgia", "source_name": "University of Georgia, Athens, GA, USA", "street_adddress": "Athens, GA 30602, USA", "lat": "33.94800530", "lng": "-83.37732210", "type": "edu", "country": "United States"}, {"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"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6419789"]}, {"id": "71167cf519940a7373adc221401c396198763ab0", "title": "Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset", "addresses": [{"name": "Dartmouth College", "source_name": "Dartmouth College", "street_adddress": "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "lat": "43.70479270", "lng": "-72.29259090", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7116/7cf519940a7373adc221401c396198763ab0.pdf"], "doi": []}, {"id": "3e207c05f438a8cef7dd30b62d9e2c997ddc0d3f", "title": "Objects as context for part detection", "addresses": [{"name": "University of Edinburgh", "source_name": "University of Edinburgh", "street_adddress": "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3e20/7c05f438a8cef7dd30b62d9e2c997ddc0d3f.pdf"], "doi": []}, {"id": "c8f14f756f38f495a7d0e29b0152ceb8666b8533", "title": "Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation", "addresses": [{"name": "University of Manchester", "source_name": "University of Manchester", "street_adddress": "University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu", "country": "United Kingdom"}, {"name": "Western Sydney University", "source_name": "Western Sydney University", "street_adddress": "Western Sydney University, Parramatta City Campus, Smith Street, Parramatta, Sydney, Parramatta, NSW, 2150, Australia", "lat": "-33.81608480", "lng": "151.00560034", "type": "edu", "country": "Australia"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0151/46a94f41db5abd92551a4334fd7daae468bf.pdf"], "doi": []}, {"id": "8113a6d723c6f6dd2ff9808cf745480f16abc3f9", "title": "Attentional Network for Visual Object Detection", "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"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01478.pdf"], "doi": []}, {"id": "35136314d998bfbacc4f264bcafcd2709e4d0f68", "title": "Evaluating visual ADAS components on the COnGRATS dataset", "addresses": [{"name": "Goethe University", "source_name": "Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany", "street_adddress": "60323 Frankfurt, Germany", "lat": "50.12706750", "lng": "8.66776350", "type": "edu", "country": "Germany"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535508"]}, {"id": "87697847062e7eefec99a8c3aec888e3eef5e5b9", "title": "Unsupervised Learning of Spoken Language with Visual Context", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8769/7847062e7eefec99a8c3aec888e3eef5e5b9.pdf"], "doi": []}, {"id": "19d6b9725a59f4b624205829d5f03ac893ca1367", "title": "Long-Term Visual Object Tracking Benchmark", "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": "2017", "pdf": ["https://arxiv.org/pdf/1712.01358.pdf"], "doi": []}, {"id": "db9509228938a1788cabbad5827dcdb3be40b897", "title": "Using Discriminative Motion Context for Online Visual Object Tracking", "addresses": [{"name": "Universit\u00e9 de Lyon", "source_name": "Universit\u00e9 de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France", "street_adddress": "7 Passage du Vercors, 69007 Lyon, France", "lat": "45.72803070", "lng": "4.82594290", "type": "edu", "country": "France"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7342929"]}, {"id": "4b6c0a47cd124b521418c9bb63a0c7ba28806fbf", "title": "Exploring Visual and Motion Saliency for Automatic Video Object Extraction", "addresses": [{"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"}, {"name": "Academia Sinica, Taiwan", "source_name": "Academia Sinica, Taiwan", "street_adddress": "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "lat": "25.04218520", "lng": "121.61454770", "type": "edu", "country": "Taiwan"}], "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6482623"]}, {"id": "8d0dffcf36e76ebbb5ff9389750264d9fb77265f", "title": "Comparison of Visual Datasets for Machine Learning", "addresses": [{"name": "Purdue University", "source_name": "Purdue University", "street_adddress": "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "lat": "40.43197220", "lng": "-86.92389368", "type": "edu", "country": "United States"}, {"name": "University of Miami", "source_name": "University of Miami", "street_adddress": "University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA", "lat": "25.71733390", "lng": "-80.27866887", "type": "edu", "country": "United States"}, {"name": "Florida International University", "source_name": "Florida International University", "street_adddress": "FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA", "lat": "25.75533775", "lng": "-80.37628897", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://rvc.eng.miami.edu/Paper/2017/IRI17_Gauen.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8102956", "http://doi.ieeecomputersociety.org/10.1109/IRI.2017.59", "http://doi.org/10.1109/IRI.2017.59", "http://ecommons.luc.edu/cgi/viewcontent.cgi?article=1148&context=cs_facpubs"]}, {"id": "2d79d338c114ece1d97cde1aa06ab4cf17d38254", "title": "iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning", "addresses": [{"name": "University of Central Florida", "source_name": "University of Central Florida", "street_adddress": "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu", "country": "United States"}, {"name": "Amirkabir University of Technology", "source_name": "Amirkabir University of Technology", "street_adddress": "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "lat": "35.70451400", "lng": "51.40972058", "type": "edu", "country": "Iran"}], "year": "2016", "pdf": ["http://crcv-web.eecs.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://crcv.ucf.edu/papers/cvpr2016/Borji_CVPR2016.pdf", "http://ilab.usc.edu/publications/doc/Borji_etal16cvpr.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Borji_iLab-20M_A_Large-Scale_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780613", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.244", "http://doi.org/10.1109/CVPR.2016.244"]}, {"id": "08ff22f76a567fcbc1afec6bfbf957a560cfadc7", "title": "Exploring Person Context and Local Scene Context for Object Detection.", "addresses": [{"name": "UC Berkeley", "source_name": "UC Berkeley", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08177.pdf"], "doi": []}, {"id": "a480b58babb1a940f857766add5df963c3636ae6", "title": "Visual Object Tracking by Structure Complexity Coefficients", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"name": "Jiangxi University of Finance and Economics", "source_name": "Jiangxi University of Finance and Economics, China", "street_adddress": "Qingshanhu, Nanchang, China, 330000", "lat": "28.72733900", "lng": "115.81663300", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7117428"]}, {"id": "82070bef06578a24e63b2b739ec86d4d31bb576a", "title": "Dataset Augmentation in Feature Space", "addresses": [{"name": "University of Guelph", "source_name": "University of Guelph, Guelph, Ontario, Canada", "street_adddress": "University of Guelph, Guelph, ON N1G 1Y4, Canada", "lat": "43.52937320", "lng": "-80.22525020", "type": "edu", "country": "Canada"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05538.pdf"], "doi": []}, {"id": "373e134970bafb756f0ae2192be09469c3a2d71b", "title": "Holistic Context Models for Visual Recognition", "addresses": [{"name": "University of California at San Diego", "source_name": "Institute for Neural Computation University of California, San Diego", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5989834"]}, {"id": "d576ebcb4a0fa54825f0ba05eaf18cd8f9bdda80", "title": "360\u00b0 Video Viewing Dataset in Head-Mounted Virtual Reality", "addresses": [{"name": "National Tsing Hua University", "source_name": "National Tsing Hua University", "street_adddress": "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "lat": "24.79254840", "lng": "120.99511830", "type": "edu", "country": "Taiwan"}, {"name": "National Chiao Tung University", "source_name": "National Chiao Tung University", "street_adddress": "NCTU;\u4ea4\u5927;\u4ea4\u901a\u5927\u5b78;\u4ea4\u5927\u5149\u5fa9\u6821\u5340;\u4ea4\u901a\u5927\u5b78\u5149\u5fa9\u6821\u5340, 1001, \u5927\u5b78\u8def, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30010, \u81fa\u7063", "lat": "24.78676765", "lng": "120.99724412", "type": "edu", "country": "Taiwan"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d576/ebcb4a0fa54825f0ba05eaf18cd8f9bdda80.pdf"], "doi": []}, {"id": "aa0dbfcc3cf172971cc5679c02add3f291c8f886", "title": "The dynamics of invariant object recognition in the human visual system.", "addresses": [{"name": "McGovern Institute for Brain Research", "source_name": "McGovern Institute for Brain Research", "street_adddress": "McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.36262950", "lng": "-71.09144810", "type": "edu", "country": "United States"}, {"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/aa0d/bfcc3cf172971cc5679c02add3f291c8f886.pdf"], "doi": []}, {"id": "7335283be19084ad4e7493f72f957741a0c0dce5", "title": "Learning to Place New Objects in a Scene", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2012", "pdf": ["https://arxiv.org/pdf/1202.1694.pdf"], "doi": []}, {"id": "a754d21f37bbe3e477b6ca83095235699fcf74c9", "title": "Randomized visual phrases for object search", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248042"]}, {"id": "a7d713f3b465feff60a5f897df9618f8c4b53103", "title": "Object-Graphs for Context-Aware Visual Category Discovery", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871652"]}, {"id": "4fc90013e4e2297f33a86db106843917c824d6b9", "title": "Visual object tracking\u2014classical and contemporary approaches", "addresses": [{"name": "COMSATS Institute of Information Technology, Lahore", "source_name": "COMSATS Institute of Information Technology", "street_adddress": "COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, \u0628\u062d\u0631\u06cc\u06c1 \u0679\u0627\u0624\u0646\u202c\u200e, Lahore District, \u067e\u0646\u062c\u0627\u0628, 54700, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "lat": "31.40063320", "lng": "74.21372960", "type": "edu", "country": "Pakistan"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-015-4246-3"]}, {"id": "7df07834ddde670cd6c626025e0c769837e266ea", "title": "Visual Saliency Detection Based Object Recognition", "addresses": [{"name": "Yanshan University", "source_name": "Yanshan University, Qinhuangdao, China", "street_adddress": "438 Hebei Street West Section, Haigang Qu, Qinhuangdao Shi, Hebei Sheng, China", "lat": "39.90450800", "lng": "119.53971900", "type": "edu", "country": "China"}, {"name": "Institute of Information Science", "source_name": "Institute of Information Science", "street_adddress": "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "lat": "25.04107280", "lng": "121.61475620", "type": "edu", "country": "Taiwan"}, {"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7df0/7834ddde670cd6c626025e0c769837e266ea.pdf"], "doi": []}, {"id": "2f17f59c2e3b71ff8d35677b7c0d0949a3f804a8", "title": "The Role of Context Selection in Object Detection", "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"}, {"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02948.pdf"], "doi": []}, {"id": "1c300d0cda4177e69c7a442a1c9783dd8bad4776", "title": "Detection-based object labeling in 3D scenes", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6225316"]}, {"id": "23b696300a80c0479d571dadc20e50846e80b82c", "title": "Deep Visual Analogy-Making", "addresses": [{"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": "2015", "pdf": ["https://pdfs.semanticscholar.org/23b6/96300a80c0479d571dadc20e50846e80b82c.pdf"], "doi": []}, {"id": "79b566bd59a04d6ed8aa0bbffe1250cf955e841b", "title": "A dataset for Movie Description", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298940"]}, {"id": "ab43d5c4772f195d8b5fe9e2247458bd97b4af44", "title": "Visual features for context-aware speech recognition", "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": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7953112"]}, {"id": "03dbc94b54c85cc34815df629fb508c6729e6eab", "title": "LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop", "addresses": [{"name": "Princeton University", "source_name": "Princeton University", "street_adddress": "Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA", "lat": "40.34829285", "lng": "-74.66308325", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03365.pdf"], "doi": []}, {"id": "a9a414604cff39f1a03c5547385dc421e6c8452e", "title": "Fully-Convolutional Siamese Networks for Object Tracking", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.09549.pdf"], "doi": []}, {"id": "0862940a255d980d46ef041ab20f153276f96214", "title": "3D Object Representations for Fine-Grained Categorization", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}, {"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2013", "pdf": ["http://ai.stanford.edu/~jkrause/papers/3drr13.pdf", "http://ai.stanford.edu/~jkrause/papers/3drr_talk.pdf", "http://vision.stanford.edu/pdf/3drr13.pdf", "http://web.eecs.umich.edu/~jiadeng/paper/KrauseStarkDengFei-Fei_3DRR13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W19/papers/Krause_3D_Object_Representations_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755945"]}, {"id": "06064cddc8c3d0f270e09007dbeb27ff320d5e0d", "title": "Similarity-Based Fusion of MEG and fMRI Reveals Spatio-Temporal Dynamics in Human Cortex During Visual Object Recognition", "addresses": [{"name": "MIT", "source_name": "Massachusetts Institute", "street_adddress": "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "lat": "42.35839610", "lng": "-71.09567788", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7133/189b3532d268d581566b5730148fe9296a8d.pdf"], "doi": []}, {"id": "7698ba9fd1f49157ca2666a93311afbf1ff4e66c", "title": "Visual object detection with deformable part models", "addresses": [{"name": "Brown University", "source_name": "Brown University", "street_adddress": "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "lat": "41.82686820", "lng": "-71.40123146", "type": "edu", "country": "United States"}, {"name": "University of California at Berkeley", "source_name": "International Computer Science Institute, University of California at Berkeley, Berkeley, USA", "street_adddress": "1947 Center St, Berkeley, CA 94704, USA", "lat": "37.87015430", "lng": "-122.27123120", "type": "edu", "country": "United States"}, {"name": "Toyota Technological Institute at Chicago", "source_name": "Toyota Technological Institute at Chicago", "street_adddress": "6045 S Kenwood Ave, Chicago, IL 60637, USA", "lat": "41.78469820", "lng": "-87.59258480", "type": "company", "country": "United States"}, {"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2013", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2494532"]}, {"id": "0921135d6af30103ed20aa3cd0aadd8d26c3fee1", "title": "Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}, {"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": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6634163"]}, {"id": "d8def3d02cebd52f319486a9512f8364494eaece", "title": "Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving", "addresses": [{"name": "Chalmers University of Technology", "source_name": "Chalmers University of Technology, SE-412 96 G\u00f6teborg, Sweden", "street_adddress": "Chalmersplatsen 4, 412 96 G\u00f6teborg, Sweden", "lat": "57.68970630", "lng": "11.97416540", "type": "edu", "country": "Sweden"}], "year": "2014", "pdf": ["http://publications.lib.chalmers.se/records/fulltext/201290/local_201290.pdf"], "doi": ["https://doi.org/10.1016/j.trf.2014.08.004"]}, {"id": "1c9047137e58da1590b0a20d392f635aa29a2114", "title": "Randomized Spatial Context for Object Search", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047863"]}, {"id": "8c3ba3145630de8553fb59acfcf9d34bdd20b1ed", "title": "Visual tracking via adaptive structural local sparse appearance model", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}, {"name": "University of California at Merced", "source_name": "University of California at Merced, Merced, CA, USA", "street_adddress": "5200 Lake Rd, Merced, CA 95343, USA", "lat": "37.36416510", "lng": "-120.42546150", "type": "edu", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247880"]}, {"id": "8dea22172bd3008ec3c8008bc6edfdfe1e33e439", "title": "CityPersons: A Diverse Dataset for Pedestrian Detection", "addresses": [{"name": "Max Planck Institute for Informatics", "source_name": "Max Planck Institute for Informatics", "street_adddress": "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "lat": "49.25795660", "lng": "7.04577417", "type": "edu", "country": "Germany"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05693.pdf"], "doi": []}, {"id": "0b0a44fb4b4c22d86b4f9c72ef061c07b179c73d", "title": "Changedetection.net: A new change detection benchmark dataset", "addresses": [{"name": "Boston University", "source_name": "Boston University", "street_adddress": "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "lat": "42.35042530", "lng": "-71.10056114", "type": "edu", "country": "United States"}, {"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6238919"]}, {"id": "a7bfb6426359140a0bc0c84741ad9a3ac83eff04", "title": "Object-Level Context Modeling For Scene Classification with Context-CNN", "addresses": [{"name": "IIIT Hyderabad", "source_name": "CVIT, IIIT Hyderabad", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04358.pdf"], "doi": []}, {"id": "16c6e567091d6eea117f50173f7c0e03c4e54ea0", "title": "Contextual Object Detection With Spatial Context Prototypes", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6809976", "http://doi.org/10.1109/TMM.2014.2321534"]}, {"id": "67f3c7fa63f22a2814f7b25fc71c2e60c7b975ff", "title": "Object Templates for Visual Place Categorization", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2012", "pdf": ["https://cs.nju.edu.cn/_upload/tpl/00/ed/237/template237/paper/ACCV2012_VPC_ObejctTemplates.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-37447-0_36"]}, {"id": "a4044c27188bd7279e406e0508f4a9548ba909c3", "title": "A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7805258"]}, {"id": "7c0773c7578433a2277e919ac824f142d5de351c", "title": "Zero-shot object recognition by semantic manifold distance", "addresses": [{"name": "University of London", "source_name": "University of London", "street_adddress": "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "lat": "51.52176680", "lng": "-0.13019072", "type": "edu", "country": "United Kingdom"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_045_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Fu_Zero-Shot_Object_Recognition_2015_CVPR_paper.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/11767/Gong%20Zero-shot%20object%20recognition%202015%20Accepted.pdf?sequence=1", "https://www.eecs.qmul.ac.uk/~sgg/papers/FuEtAl_CVPR2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298879", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298879", "http://doi.org/10.1109/CVPR.2015.7298879"]}, {"id": "7fc43874c925ea0dfd4efb97c9595a00fa183afc", "title": "Visual perception based adaptive feature fusion for visual object tracking", "addresses": [{"name": "University of Dayton", "source_name": "University of Dayton", "street_adddress": "University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA", "lat": "39.73844400", "lng": "-84.17918747", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122800"]}, {"id": "7fb8d9c36c23f274f2dd84945dd32ec2cc143de1", "title": "Semantic segmentation with second-order pooling", "addresses": [{"name": "Institute of Systems and Robotics", "source_name": "Institute of Systems and Robotics", "street_adddress": "Institut f\u00fcr Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt J\u00fcrgen, Strecknitz, L\u00fcbeck, Schleswig-Holstein, 23562, Deutschland", "lat": "53.83383710", "lng": "10.70359390", "type": "edu", "country": "Germany"}, {"name": "University of Bonn", "source_name": "University of Bonn", "street_adddress": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.73381240", "lng": "7.10224650", "type": "edu", "country": "Germany"}], "year": "2012", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/eccv2012.pdf", "http://videolectures.net/site/normal_dl/tag=725540/eccv2012_carreira_semantic_01.pdf", "http://www.eecs.berkeley.edu/~carreira/papers/eccv2012.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33786-4_32"]}, {"id": "280d632ef3234c5ab06018c6eaccead75bc173b3", "title": "Efficient Image and Video Co-localization with Frank-Wolfe Algorithm", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://ai.stanford.edu/~ajoulin/article/eccv14-vidcoloc.pdf", "http://ai.stanford.edu/~kdtang/papers/eccv14-vidcoloc.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940253.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10599-4_17"]}, {"id": "bd433d471af50b571d7284afb5ee435654ace99f", "title": "Going Deeper with Convolutional Neural Network for Intelligent Transportation", "addresses": [{"name": "Worcester Polytechnic Institute", "source_name": "Worcester Polytechnic Institute, MA 01609-2280, USA", "street_adddress": "100 Institute Rd, Worcester, MA 01609, USA", "lat": "42.27457540", "lng": "-71.80627240", "type": "edu", "country": "United States"}, {"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"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bd43/3d471af50b571d7284afb5ee435654ace99f.pdf"], "doi": []}, {"id": "214f552070a7eb5ef5efe0d6ffeaaa594a3c3535", "title": "Learning Everything about Anything: Webly-Supervised Visual Concept Learning", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://allenai.org/content/publications/objectNgrams_cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Divvala_Learning_Everything_about_2014_CVPR_paper.pdf", "http://www.istc-cc.cmu.edu/publications/papers/2014/divvala2014lea.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909814", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.412", "http://doi.org/10.1109/CVPR.2014.412"]}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/coco.json b/site/datasets/unknown/coco.json
index 9149acf9..c61d3b1f 100644
--- a/site/datasets/unknown/coco.json
+++ b/site/datasets/unknown/coco.json
@@ -1 +1 @@
-{"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "citations": [{"id": "08f6b52317b34b60aa65f38b83e3d72deffa0473", "title": "Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/bae0/9864ea2c05bccf275cf824580ce212111e42.pdf"], "doi": []}, {"id": "ce9799830a24412f4bd9ad30a9d6e2a50215f8f8", "title": "Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01972.pdf"], "doi": []}, {"id": "369c4a308ec9e56746f7cc1b164208b917e31a22", "title": "Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/369c/4a308ec9e56746f7cc1b164208b917e31a22.pdf"], "doi": []}, {"id": "35ebe95db7ab148e25904604d3b06a9412f6b4a4", "title": "Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/80d9/993e6abd22a58a4fedd63754a15085778367.pdf"], "doi": []}, {"id": "d4901683e2c2552fc2d62d4eb3b1f5d5fa60a5ff", "title": "ScaleNet: Scale Invariant Network for Semantic Segmentation in Urban Driving Scenes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d490/1683e2c2552fc2d62d4eb3b1f5d5fa60a5ff.pdf"], "doi": []}, {"id": "254f7ef73629c18ff9ba13af59b2d78df3fda59d", "title": "Deep Object-Centric Representations for Generalizable Robot Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.04225.pdf"], "doi": []}, {"id": "0f08d62e882026ac83ebf26c0bd288c553873814", "title": "Multispecies Fruit Flower Detection Using a Refined Semantic Segmentation Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10080.pdf"], "doi": []}, {"id": "89fff8387432878db240a044a98ff9c9200f3197", "title": "Learning Globally Optimized Object Detector via Policy Gradient", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Rao_Learning_Globally_Optimized_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578746", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00648", "http://doi.org/10.1109/CVPR.2018.00648"]}, {"id": "b955969e1077ca328018c9e4dcf27b87ed9f5076", "title": "Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01887.pdf"], "doi": []}, {"id": "f56edb6f2bf4f5bc9d54284289212b8d4a437c1b", "title": "Detection and Localization of Texture-less Objects with Deep Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f56e/db6f2bf4f5bc9d54284289212b8d4a437c1b.pdf"], "doi": []}, {"id": "a345fc597b15c26f3f2823ccd5aac0d4c976279e", "title": "Adversarially Parameterized Optimization for 3D Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8374567", "http://doi.ieeecomputersociety.org/10.1109/3DV.2017.00026", "http://doi.org/10.1109/3DV.2017.00026"]}, {"id": "3d1e82b69663758a1db87fbebed6525d23090146", "title": "ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780713"]}, {"id": "7c2a6b27dd756fe851954e0c040bc87bbd39f098", "title": "Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w39/Xu_Using_Psychophysical_Methods_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575433", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00266", "http://doi.org/10.1109/CVPRW.2018.00266"]}, {"id": "9595a267de2b0ecf7e4e2962a606c8854551e203", "title": "On the Relation between Color Image Denoising and Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01372.pdf"], "doi": []}, {"id": "94a76e349e43f09c863a9c77e47722c5ade3740e", "title": "WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Durand_WELDON_Weakly_Supervised_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Durand_WELDON_Weakly_Supervised_2016_CVPR_supplemental.pdf", "http://webia.lip6.fr/~thomen/papers/Durand_CVPR_2016.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Durand_WELDON_Weakly_Supervised_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.513", "http://doi.org/10.1109/CVPR.2016.513", "https://hal.archives-ouvertes.fr/hal-01343785/document"]}, {"id": "f5f3faa71ed2b61fa3a99bde25d6e84bfbefbb0b", "title": "Automatic Fish Classification System Using Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371919", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00016", "http://doi.org/10.1109/ICTAI.2017.00016"]}, {"id": "3832a6d6b1f78cdadee6968d51c1c7c2922ab3cd", "title": "ISIA at the ImageCLEF 2017 Image Caption Task", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3832/a6d6b1f78cdadee6968d51c1c7c2922ab3cd.pdf"], "doi": []}, {"id": "6abdd7c4dea2d5d7ff82cd5e6e503be1589861df", "title": "Detection and Recognition of U.S. Warning Signs on Curves", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8372008", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00105", "http://doi.org/10.1109/ICTAI.2017.00105"]}, {"id": "a49b309ba14ad00a3bcb7b99a45d5bcf9bbc0ab1", "title": "Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Sankaranarayanan_Guided_Perturbations_Self-Corrective_ICCV_2017_paper.pdf", "https://arxiv.org/pdf/1703.07928v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237647", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.385", "http://doi.org/10.1109/ICCV.2017.385"]}, {"id": "104dd4963f7f0ef03fe09d505d31966666f9281d", "title": "Salient Object Subitizing", "year": "2015", "pdf": ["https://arxiv.org/pdf/1607.07525.pdf"], "doi": []}, {"id": "041755d1c14077ce18d8553aa40a415283edc825", "title": "W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_W2F_A_Weakly-Supervised_CVPR_2018_paper.pdf", "https://ivul.kaust.edu.sa/Documents/Publications/2018/W2F%20A%20Weakly-Supervised%20to%20Fully-Supervised%20Framework.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578201", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00103", "http://doi.org/10.1109/CVPR.2018.00103"]}, {"id": "ce8c8e9fdbdd84adc096018bb0edb49b6913b946", "title": "Learning Discriminative Features for Speaker Identification and Verification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ce8c/8e9fdbdd84adc096018bb0edb49b6913b946.pdf"], "doi": []}, {"id": "110556d073a4d930877edc597a92995f0ff9d294", "title": "Application of Faster R-CNN model on Human Running Pattern Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05147.pdf"], "doi": []}, {"id": "549c719c4429812dff4d02753d2db11dd490b2ae", "title": "YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00824.pdf"], "doi": []}, {"id": "1295cbaf3b03de2eb8c79530289f5939d7819e5c", "title": "DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1510.02927.pdf"], "doi": []}, {"id": "4cfd15e9d3c01028bcda22e68791a95aa54c2a7c", "title": "DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01766.pdf"], "doi": []}, {"id": "25b9ef5c78dbf17c71e6fd94054dd55d66c39264", "title": "Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01606.pdf"], "doi": []}, {"id": "0b2c543e0c47454c4512569175094e6cb6ae02a9", "title": "The VizWiz Grand Challenge : A Large Visual Question Answering Dataset from Blind People Anonymous CVPR submission", "year": "", "pdf": ["https://pdfs.semanticscholar.org/0b2c/543e0c47454c4512569175094e6cb6ae02a9.pdf"], "doi": []}, {"id": "efb01e07ee994fec890ad83b89c9b652349da50e", "title": "What am I searching for", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11926.pdf"], "doi": []}, {"id": "1c9333bcf523388d75f852e0689b0e7f5a04faa4", "title": "Person Part Segmentation based on Weak Supervision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1c93/33bcf523388d75f852e0689b0e7f5a04faa4.pdf"], "doi": []}, {"id": "325093f2c5b33d7507c10aa422e96aa5b10a33f1", "title": "In-place Activated BatchNorm for Memory-Optimized Training of DNNs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578689"]}, {"id": "c399c0089fb134d1476fadf5f0426e0e8b70eebd", "title": "The Lov\u00e1sz Hinge: A Novel Convex Surrogate for Submodular Losses.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1512.07797.pdf"], "doi": []}, {"id": "c98e5a582e9f1b11bf5244ed16c78a7cbccf36b9", "title": "Towards Semantic SLAM: Points, Planes and Objects", "year": "2018", "pdf": [], "doi": []}, {"id": "b0d52bb1c9cff9416fe766e9cba94ceeab12d51f", "title": "Object detection using deep CNNs trained on synthetic images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06782.pdf"], "doi": []}, {"id": "1d21ec277d2a72e506a9665f19ec5478dbedc20f", "title": "A Semi-Automatic Annotation Technology for Traffic Scene Image Labeling Based on Deep Learning Preprocessing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8005815", "http://doi.ieeecomputersociety.org/10.1109/CSE-EUC.2017.63", "http://doi.org/10.1109/CSE-EUC.2017.63"]}, {"id": "619701bb7d73171d6311c9e14b8ac5919692d03e", "title": "Semantic Edge Detection with Diverse Deep Supervision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02864.pdf"], "doi": []}, {"id": "68f6b329044b01cce1660e953875ece2c3778c68", "title": "Intelligent Surveillance as an Edge Network Service: from Harr-Cascade, SVM to a Lightweight CNN", "year": "2018", "pdf": [], "doi": []}, {"id": "22aa426aeffb77339646cc03da8e94de22396efc", "title": "S HAKES HAKE REGULARIZATION OF 3-BRANCH RESIDUAL NETWORKS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/22aa/426aeffb77339646cc03da8e94de22396efc.pdf"], "doi": []}, {"id": "19f73120fa314666c841ea88cb2b627aa67251b4", "title": "Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06006.pdf"], "doi": []}, {"id": "3fea412361b2d14cb3c6723968b421c1c8cb38e8", "title": "Shake-Shake regularization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07485.pdf"], "doi": []}, {"id": "332339c32d41cc8176d360082b4d9faa90dadffa", "title": "UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.02132.pdf"], "doi": []}, {"id": "76b61ccb488ad7861e9e36054f96195877f4c9f6", "title": "Automatic image annotation: the quirks and what works", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6247-3"]}, {"id": "05e9e85b5137016c93d042170e82f77bb551a108", "title": "A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Perazzi_A_Benchmark_Dataset_CVPR_2016_paper.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_poster_cvpr_2016.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_supplementary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780454", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.85", "http://doi.org/10.1109/CVPR.2016.85"]}, {"id": "8899094797e82c5c185a0893896320ef77f60e64", "title": "Non-local Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578911"]}, {"id": "12660f0defc6580e566c0fa2ac909971d6c6883b", "title": "The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780721", "http://doi.org/10.1109/CVPR.2016.352", "https://www.wikidata.org/entity/Q57840870"]}, {"id": "bf881e53510b230879aa0d3b02576043b8f881e7", "title": "Automated Image Captioning Using Nearest-Neighbors Approach Driven by Top-Object Detections", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/bf88/1e53510b230879aa0d3b02576043b8f881e7.pdf"], "doi": []}, {"id": "10beef48f3a9b2c4a6c863edefe2cac8bf09b50c", "title": "Fine-Level Semantic Labeling of Large-Scale 3D Model by Active Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8491004", "http://doi.ieeecomputersociety.org/10.1109/3DV.2018.00066", "http://doi.org/10.1109/3DV.2018.00066"]}, {"id": "761de31c575bf30162b6e0d92a1800eb406e96b5", "title": "A Flexible Convolutional Solver with Application to Photorealistic Style Transfer", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05285.pdf"], "doi": []}, {"id": "96d1bf51b3aa118696ce18dc45924e5ca8b9d885", "title": "Insulator Detection in Aerial Images for Transmission Line Inspection Using Single Shot Multibox Detector", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8603728"]}, {"id": "10c4b2489d7e1ee43a1d19724d3c1e9c33ca3f29", "title": "A Question-Answering framework for plots using Deep learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04655.pdf"], "doi": []}, {"id": "dbc359e95d999bf119353f51edcb53b2beb5b3fe", "title": "Object Detection in Real-Time Systems: Going Beyond Precision", "year": "2018", "pdf": ["https://www.iiitd.edu.in/~chetan/papers/obj-det-wacv18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354221", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00117", "http://doi.org/10.1109/WACV.2018.00117"]}, {"id": "de1505819e145b5c22a6e09002510413019f7228", "title": "DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05675.pdf"], "doi": []}, {"id": "0b888196dda951287dddb60bd44798aab16d6fca", "title": "Learning Common Sense through Visual Abstraction", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Vedantam_Learning_Common_Sense_ICCV_2015_paper.pdf", "http://oui.csail.mit.edu/camera_readys/21.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Vedantam_Learning_Common_Sense_ICCV_2015_paper.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/ICCV2015_commonsense.pdf", "https://www.cc.gatech.edu/~parikh/Publications/ICCV2015_commonsense.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410649", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.292", "http://doi.org/10.1109/ICCV.2015.292"]}, {"id": "85cace98e07e190494a5d88eba5e5b11538dc3b1", "title": "Hierarchical Semantic Mapping Using Convolutional Neural Networks for Intelligent Service Robotics", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490234", "http://doi.org/10.1109/ACCESS.2018.2873597"]}, {"id": "2dd853b617c176810e3dda008f7cacea6473f0ae", "title": "Image captioning using deep neural architectures", "year": "2017", "pdf": ["https://arxiv.org/pdf/1801.05568.pdf"], "doi": []}, {"id": "25894be540936562953f37fbbcff69e5ac17a494", "title": "Semantic Image Retrieval via Active Grounding of Visual Situations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00088.pdf"], "doi": []}, {"id": "28949c94c8457e570ba65c8382c993600f8404e7", "title": "Efficient Video Object Segmentation via Network Modulation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578778"]}, {"id": "ba60b642a558858325f50d38a345b6bb85114ce1", "title": "Imbalanced Deep Learning by Minority Class Incremental Rectification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10851.pdf"], "doi": []}, {"id": "a4aa145b519a9515e1162ca017d80d460002ba5a", "title": "HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver Hands", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575312"]}, {"id": "442b6114ae8316c95f59acabe6de26f2b569cc02", "title": "Edit me: A Corpus and a Framework for Understanding Natural Language Image Editing", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1205/8e0de3dadc1469035ddb3c82e1b7ba722960.pdf"], "doi": []}, {"id": "729a9d35bc291cc7117b924219bef89a864ce62c", "title": "Recognizing Material Properties from Images.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03127.pdf"], "doi": []}, {"id": "144ba4e9e64d4f9a5bb436c80c3c02b40e4092e0", "title": "Learning Video Features for Multi-label Classification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/144b/a4e9e64d4f9a5bb436c80c3c02b40e4092e0.pdf"], "doi": []}, {"id": "9c0ff1f1e2c83f089cb6b42a91869428fe9a92b2", "title": "Commonsense LocatedNear Relation Extraction", "year": "2017", "pdf": [], "doi": []}, {"id": "e5918229f44f0215d73a0b9d5eb13eb56764a2e4", "title": "Counting Vehicles with Cameras", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e591/8229f44f0215d73a0b9d5eb13eb56764a2e4.pdf"], "doi": []}, {"id": "f7cf4e0b1e371efca045e71996956be19aef0577", "title": "C L ] 3 D ec 2 01 7 Adversarial Ranking for Language Generation", "year": "2017", "pdf": [], "doi": []}, {"id": "0199150ccad6479eac9d693a7cc0406935d877a8", "title": "Towards Real-Time Accurate Object Detection in Both Images and Videos Based on Dual Refinement.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08638.pdf"], "doi": []}, {"id": "4c8dfc4720186799b2baf53c282a32ba3f312bcc", "title": "A Mask Regional Convolutional Neural Network Model for Segmenting Real Time Traffic Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8493883"]}, {"id": "b29be8ae91eff7ccf001d48adf518bae86129be3", "title": "OmniDetector: With Neural Networks to Bounding Boxes", "year": "2018", "pdf": [], "doi": []}, {"id": "2fcd5cff2b4743ea640c4af68bf4143f4a2cccb1", "title": "Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.05612.pdf"], "doi": []}, {"id": "6a1b76f1ef876061ec479ab9bc13fcd517eb4188", "title": "Large Kernel Matters \u2014 Improve Semantic Segmentation by Global Convolutional Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02719.pdf"], "doi": []}, {"id": "3bcca85ad84806be6d38d3882f7a6aac0ad90253", "title": "Video captioning with recurrent networks based on frame- and video-level features and visual content classification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.02949.pdf"], "doi": []}, {"id": "39978ba7c83333475d6825d0ff897692933895fc", "title": "Conditional Random Fields as Recurrent Neural Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410536"]}, {"id": "6ee2173c06c84cae6aae2912a4439ec956ecc3bb", "title": "Zero-shot Sim-to-Real Transfer with Modular Priors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07480.pdf"], "doi": []}, {"id": "fd0769033b18038b9baf9e762f16973ee27be626", "title": "MobileNetV2: Inverted Residuals and Linear Bottlenecks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578572"]}, {"id": "b408b939c0f3be9cce0f84871a78a71d1684cd77", "title": "Identifying spatial relations in images using convolutional neural networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04215.pdf"], "doi": []}, {"id": "8aa9d9ccbdf37fd1d9fb4f3adb778b3c2c9baa45", "title": "POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575327"]}, {"id": "ed7de328e2191463d42d745d8ac8f16024f95f25", "title": "Beyond Planar Symmetry: Modeling Human Perception of Reflection and Rotation Symmetries in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237354"]}, {"id": "37b207d2c4a82a57f80e96353f79ecd71320a854", "title": "Person Search with Natural Language Description", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05729.pdf"], "doi": []}, {"id": "54f688ea5de7b9156db28b2821e5f5ed0148605a", "title": "Contextual Memory Trees", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.06473.pdf"], "doi": []}, {"id": "4a88237199595feaa3f0e3289cbdd201a3ce28ff", "title": "Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08338.pdf"], "doi": []}, {"id": "3979e8ddcf95fedf7a220b7d39a72fa120d436f8", "title": "Deep Learning Applied to Image and Text Matching", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.03478.pdf"], "doi": []}, {"id": "df9a102288582d8edadeddcb8d55068a06cc471c", "title": "Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension", "year": "2017", "pdf": ["http://ai2-website.s3.amazonaws.com/publications/CVPR17_TQA.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Kembhavi_Are_You_Smarter_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100054", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.571", "http://doi.org/10.1109/CVPR.2017.571"]}, {"id": "9bddd98289ecc7a8dc5517122d21d5c6f5a9a01a", "title": "DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.10733.pdf"], "doi": []}, {"id": "d951ff5f378b2a5f878423029123ad6b3491b444", "title": "Foveal Vision for Instance Segmentation of Road Images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c33e/a181e9cd13ad3f11f459d5d1f7b7bf114033.pdf"], "doi": []}, {"id": "9645e8b4829c04879a642d8dd6b3cdf5cf264afb", "title": "Finding Beans in Burgers: Deep Semantic-Visual Embedding with Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01720.pdf"], "doi": []}, {"id": "1e2d9ea6fe9c50a5c26a629b94446250e1be4e7d", "title": "The Freiburg Groceries Dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05799.pdf"], "doi": []}, {"id": "40c6a2b1cb312f11f8225a733545fdabd436e347", "title": "Deep Co-Training for Semi-Supervised Image Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05984.pdf"], "doi": []}, {"id": "1f0c7b93636f879bd5ef3dd915a02dcd813a053d", "title": "Interpreting Deep Visual Representations via Network Dissection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05611.pdf"], "doi": []}, {"id": "402056b2d10b27c1b17dbb5eb82b95fd1cfd8fa5", "title": "Deriving Privacy and Security Considerations for CORE: An Indoor IoT Adaptive Context Environment", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267363"]}, {"id": "5b3dc81a490b1d9e69d7be20c4e8e1de886b5ca3", "title": "Improving Object Localization with Fitness NMS and Bounded IoU Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00164.pdf"], "doi": []}, {"id": "b7c2798e136feb85847c8a9aa693d75bc3f9b08c", "title": "Classifying a specific image region using convolutional nets with an ROI mask as input", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00291.pdf"], "doi": []}, {"id": "372026896229c870f11bcecc1c81c80dad9c6761", "title": "Draw and Tell: Multimodal Descriptions Outperform Verbal- or Sketch-Only Descriptions in an Image Retrieval Task", "year": "2017", "pdf": [], "doi": ["https://aclanthology.info/papers/I17-2061/i17-2061", "http://aclweb.org/anthology/I17-2061", "https://pub.uni-bielefeld.de/download/2913598/2914382"]}, {"id": "8d384e8c45a429f5c5f6628e8ba0d73c60a51a89", "title": "Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00666.pdf"], "doi": []}, {"id": "6f77ff9990973a6cdad6b5b6022323bff9d03965", "title": "Action Recognition in Still Images Using Word Embeddings from Natural Language Descriptions", "year": "2017", "pdf": ["http://cobweb.cs.uga.edu/~csc/papers/wacv17_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912210", "http://doi.org/10.1109/WACVW.2017.17"]}, {"id": "146f6f6ed688c905fb6e346ad02332efd5464616", "title": "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.03044.pdf"], "doi": []}, {"id": "e20daf69526c5da9cffb252d043fdc765f37a89e", "title": "Relating images and 3D models with convolutional neural networks. (Mise en relation d'images et de mod\u00e8les 3D avec des r\u00e9seaux de neurones convolutifs)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e20d/af69526c5da9cffb252d043fdc765f37a89e.pdf"], "doi": []}, {"id": "fb732b15fd5235893228ad3249cf04e1809034c9", "title": "CBVMR: Content-Based Video-Music Retrieval Using Soft Intra-Modal Structure Constraint", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06761.pdf"], "doi": []}, {"id": "eaf8c104ab14600ecc5e9cce739b55280eef7ad4", "title": "Abstractive Compression of Captions with Attentive Recurrent Neural Networks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/eaf8/c104ab14600ecc5e9cce739b55280eef7ad4.pdf"], "doi": []}, {"id": "dc4682cd15ccb7ebcbc8d2ba21b613e34a9af8ca", "title": "Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08960.pdf"], "doi": []}, {"id": "478a1ed7dc1890ca9476dcc1befe7f21c9bf9149", "title": "Learning to Learn from Noisy Labeled Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05214.pdf"], "doi": []}, {"id": "1e17202d6de18d5e1965edce5fee79744b717d0b", "title": "MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08681.pdf"], "doi": []}, {"id": "542289d1acfebb9d79ea7a10c8e1516924e09973", "title": "Video Highlight Prediction Using Audience Chat Reactions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.08559.pdf"], "doi": []}, {"id": "2badc4c87a7751dd5ae1797bc4091d10d1acf442", "title": "Multimodal Retrieval with Asymmetrically Weighted Regularized Canonical Correla- Tion Analysis", "year": "", "pdf": ["https://pdfs.semanticscholar.org/2bad/c4c87a7751dd5ae1797bc4091d10d1acf442.pdf"], "doi": []}, {"id": "9b45e9a40313096abf530df3b98a1dfa1553f17b", "title": "Comprehension-Guided Referring Expressions", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099816"]}, {"id": "66837b29270f3e03df64941a081d70c687c7955c", "title": "ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12126.pdf"], "doi": []}, {"id": "7d035e6c6b5ef1267dff23845009284677c16a4d", "title": "AlphaGAN: Generative adversarial networks for natural image matting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10088.pdf"], "doi": []}, {"id": "655f587a59c835a7b6b5017016ea1c2123f266e6", "title": "Separating Self-Expression and Visual Content in Hashtag Supervision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09825.pdf"], "doi": []}, {"id": "3ca194773fe583661b988fbdf33f7680764438b3", "title": "Exploring Nearest Neighbor Approaches for Image Captioning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04467.pdf"], "doi": []}, {"id": "f43463770d361e55fb6f6eb801a6e8530ab668cd", "title": "Corpus Construction and Semantic Analysis of Indonesian Image Description", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f434/63770d361e55fb6f6eb801a6e8530ab668cd.pdf"], "doi": []}, {"id": "46d8531797d8913b05f9124def1ef81ac30423c1", "title": "MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.05233.pdf"], "doi": []}, {"id": "f5748711db00d82469ff60e05f62319f1eac90c5", "title": "Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07169.pdf"], "doi": []}, {"id": "cfc22c35ad191cf9d70f4a3655840748b0e1322c", "title": "Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06132.pdf"], "doi": []}, {"id": "6bfae88bea2301f2abeb6d1ed62c8b9a99b251c0", "title": "CNRS TELECOM ParisTech at ImageCLEF 2015 Scalable Concept Image Annotation Task: Concept Detection with Blind Localization Proposals", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6bfa/e88bea2301f2abeb6d1ed62c8b9a99b251c0.pdf"], "doi": []}, {"id": "478261574ddc6cf297611000735aa9808f8f0030", "title": "ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04405.pdf"], "doi": []}, {"id": "12d9a4233a16ea08fbb1de853b6a97b4f4952c23", "title": "Tractable Structured Prediction using the Permutohedral Lattice", "year": "2017", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-01.pdf?isAllowed=y&sequence=1", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-02.pdf?isAllowed=y&sequence=2"], "doi": ["https://doi.org/10.3929/ethz-a-010882665"]}, {"id": "e654320739770029ec5cb22174772c935478b237", "title": "Paraphrase Thought: Sentence Embedding Module Imitating Human Language Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05505.pdf"], "doi": []}, {"id": "b80f43b42b5320578d4c1e214fe1a8b6b45352ae", "title": "MSR-VTT: A Large Video Description Dataset for Bridging Video and Language", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Xu_MSR-VTT_A_Large_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Xu_MSR-VTT_A_Large_CVPR_2016_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/cvpr16.msr-vtt.tmei_-1.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/10/cvpr16.supplementary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780940", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.571", "http://doi.org/10.1109/CVPR.2016.571"]}, {"id": "81cb69e401b3b51e49ec378dba4bc0c8e33448e1", "title": "Applying Domain Randomization to Synthetic Data for Object Category Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09834.pdf"], "doi": []}, {"id": "7b1dd2708e1d7bf0fdcda437de1970a9a6facc0d", "title": "Deep Recurrent Convolutional Neural Network: Improving Performance For Speech Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.07174.pdf"], "doi": []}, {"id": "18087bfafbe471f346c8b739522e64fa11e48b13", "title": "Visual Madlibs: Fill in the Blank Description Generation and Question Answering", "year": "2015", "pdf": ["http://acberg.com/papers/madlibs.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Yu_Visual_Madlibs_Fill_ICCV_2015_paper.pdf", "http://tamaraberg.com/papers/madlibs.pdf", "http://www.cs.unc.edu/~licheng/papers/iccv15_madlibs.pdf", "http://www.cs.unc.edu/~licheng/papers/iccv15_madlibs_supp.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yu_Visual_Madlibs_Fill_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410640", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.283", "http://doi.org/10.1109/ICCV.2015.283"]}, {"id": "ad8642e186c5c81d06934d4e6fc249b7cbca40e8", "title": "Learning Transferable Architectures for Scalable Image Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07012.pdf"], "doi": []}, {"id": "04427d8371cb9e66e2cdcd2035756203398a8bf1", "title": "Learning Answer Embeddings for Visual Question Answering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578667"]}, {"id": "189b02caa2bb9ffb303154e35f60797ec8576f84", "title": "CRRN: Multi-scale Guided Concurrent Reflection Removal Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578600"]}, {"id": "3b8ad1f2335fc755e5cd75ee5922b8a0d432018a", "title": "A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00615.pdf"], "doi": []}, {"id": "2a5667702b0f1ff77dde8fb3e2e10d4e05e8de9d", "title": "Scene Parsing through ADE20K Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Scene_Parsing_Through_CVPR_2017_paper.pdf", "http://people.csail.mit.edu/bzhou/publication/scene-parse-camera-ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100027", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.544", "http://doi.org/10.1109/CVPR.2017.544"]}, {"id": "10bb4ef7a6719ea132e00f0ab5680919a4131d99", "title": "BAM: Bottleneck Attention Module", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.06514.pdf"], "doi": []}, {"id": "a6e695ddd07aad719001c0fc1129328452385949", "title": "The New Data and New Challenges in Multimedia Research", "year": "2015", "pdf": [], "doi": []}, {"id": "f795b4ff67d3ecce0b988ecfc0589cc7e54f5dfa", "title": "Grounded Human-Object Interaction Hotspots from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04558.pdf"], "doi": []}, {"id": "30f78071ac2bc965ffbf452a7b315d6dfddae30e", "title": "Lingusitic Analysis of Multi-Modal Recurrent Neural Networks", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/30f7/8071ac2bc965ffbf452a7b315d6dfddae30e.pdf"], "doi": []}, {"id": "10554295addeae86571a26de6c2ad7e274963953", "title": "Re-ranking Object Proposals for Object Detection in Automatic Driving", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05904.pdf"], "doi": []}, {"id": "af95ba2c08cf3317291dad554488dd951cd6ff80", "title": "Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04002.pdf"], "doi": []}, {"id": "c4cca330ec7289fac16d0793da98f705f6513219", "title": "Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "22a8b7ca2e6449cad31ae4f71bb3587751087e77", "title": "DeepBox: Learning Objectness with Convolutional Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410642"]}, {"id": "0dcc768631d9ede8a3679e980b37204b782781b2", "title": "Stating the Obvious: Extracting Visual Common Sense Knowledge", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/55b9/251541eb09a6be4a317d4db1bc8d5dba07f7.pdf"], "doi": []}, {"id": "c1e714a9ec329629798a88ebff8657c349fec739", "title": "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", "year": "2017", "pdf": ["http://cedric.cnam.fr/~thomen/papers/Durand_CVPR_2017.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Durand_WILDCAT_Weakly_Supervised_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Durand_WILDCAT_Weakly_Supervised_2017_CVPR_supplemental.pdf", "http://webia.lip6.fr/~durandt/pdfs/2017_CVPR/Durand_WILDCAT_CVPR_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100114", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.631", "http://doi.org/10.1109/CVPR.2017.631"]}, {"id": "01959ef569f74c286956024866c1d107099199f7", "title": "VQA: Visual Question Answering", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410636"]}, {"id": "5c8ad080ccb3f5e3c999c2948029f0bd005d5635", "title": "Engaging Image Captioning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5c8a/d080ccb3f5e3c999c2948029f0bd005d5635.pdf"], "doi": []}, {"id": "284be8be0c6bedc36dfe43229bc84345ab0aedc2", "title": "Faster Training of Mask R-CNN by Focusing on Instance Boundaries", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07069.pdf"], "doi": []}, {"id": "b6b9d29d25de42d78f09217c9cc457247d90fc70", "title": "Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11823.pdf"], "doi": []}, {"id": "2198a3d3342442d6ed6608f2e2b0687f644b67d6", "title": "Dynamic High Resolution Deformable Articulated Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07999.pdf"], "doi": []}, {"id": "340e55a44793226a51ad06612f340f2c520e3575", "title": "G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_G2DeNet_Global_Gaussian_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100172", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.689", "http://doi.org/10.1109/CVPR.2017.689"]}, {"id": "833ada09759039b7c620b8930a50a0521d70b2c7", "title": "Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09960.pdf"], "doi": []}, {"id": "fbb9cdd699baf86e9d616b259ada02449c2322ca", "title": "Active Testing: An Efficient and Robust Framework for Estimating Accuracy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00493.pdf"], "doi": []}, {"id": "f1d8c377093ecf64afd7f17383738e81666fe5ae", "title": "Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10805.pdf"], "doi": []}, {"id": "858a2e0ca7ba129fda1a92959abe8770eb303bbe", "title": "Input Features Output Features Input Features Output Features Input Features Output Features Selected and", "year": "2017", "pdf": [], "doi": []}, {"id": "f5ce3c9eb539d2f4a85880db65ba3890a0fd8c6c", "title": "Zero-shot object prediction and context modeling using semantic scene knowledge", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f5ce/3c9eb539d2f4a85880db65ba3890a0fd8c6c.pdf"], "doi": []}, {"id": "9634348d3bc7b86d0b644f6c14ab0c4294341905", "title": "Investigating Redundancy in Emoji Use: Study on a Twitter Based Corpus", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9634/348d3bc7b86d0b644f6c14ab0c4294341905.pdf"], "doi": []}, {"id": "068171535ac18a4b7b65be0748d483ce4c71a9a4", "title": "Event Specific Multimodal Pattern Mining with Image-Caption Pairs", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.00022.pdf"], "doi": []}, {"id": "346a877564351e4014441a1dc174b0369a759ba5", "title": "CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Kozerawski_CLEAR_Cumulative_LEARning_CVPR_2018_paper.pdf", "http://www-inst.cs.berkeley.edu/~ee290t/fa18/readings/Kozerawski_CLEAR_Cumulative_LEARning_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578461", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00363", "http://doi.org/10.1109/CVPR.2018.00363"]}, {"id": "2b45c35aa63180ef83e7f8e6f55405db9c688b0e", "title": "Unsupervised Domain Adaptation with Similarity Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578933"]}, {"id": "a8420e7fa53b81b8069ced8d9c743c141e2fc432", "title": "Real-Time Multiple Object Tracking - A Study on the Importance of Speed", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03572.pdf"], "doi": []}, {"id": "ea743597a5f48babef1982259566d76a9bf66bf2", "title": "Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/CameraReady/1276.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Ding_Context_Contrasted_Feature_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578352", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00254", "http://doi.org/10.1109/CVPR.2018.00254"]}, {"id": "2770af2c74f9b82f2167cf5773ccc94d482ac8d4", "title": "Gossip training for deep learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.09726.pdf"], "doi": []}, {"id": "ff5869f420d33511c22e60bbcff072c3cde3ebc4", "title": "Regional Interactive Image Segmentation Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liew_Regional_Interactive_Image_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237559", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.297", "http://doi.org/10.1109/ICCV.2017.297"]}, {"id": "3aa66f2829ef440842c71a52cdaff30398a90ccb", "title": "Pointly-Supervised Action Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11333.pdf"], "doi": []}, {"id": "15a148957469bc8b91bd7cc31aa1f0c6584a1571", "title": "DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575485"]}, {"id": "ccba451687f83c463deeefb69c1f4a781de2d638", "title": "Full-Network Embedding in a Multimodal Embedding Pipeline", "year": "2017", "pdf": [], "doi": []}, {"id": "0219ced7a3afcd8e7584b24809bac30304f9288e", "title": "L ] 3 1 M ay 2 01 7 Adversarial Ranking for Language Generation", "year": "2017", "pdf": [], "doi": []}, {"id": "59f4df3087c22e0e13574bb7d20e9d41e74cb9a5", "title": "Visual Re-ranking with Natural Language Understanding for Text Spotting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12738.pdf"], "doi": []}, {"id": "3fb61e0d133d0971c853b8435fea99150e15cdbb", "title": "Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.00366.pdf"], "doi": []}, {"id": "cb8f1f77a8b19d99dfe0c7b50dae3978cf646aa9", "title": "Adaptive attention fusion network for visual question answering", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019540", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019540", "http://doi.org/10.1109/ICME.2017.8019540"]}, {"id": "4f6d8d4d460517297b419242a7e9ab3f9a307a72", "title": "Feature Extraction for Image Selection Using Machine Learning", "year": "2017", "pdf": [], "doi": []}, {"id": "0c36c988acc9ec239953ff1b3931799af388ef70", "title": "Face Detection Using Improved Faster RCNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02142.pdf"], "doi": []}, {"id": "1baa9fdfb27f561be67c52ef55b0e3587f306cff", "title": "Image Captioning with Attention", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1baa/9fdfb27f561be67c52ef55b0e3587f306cff.pdf"], "doi": []}, {"id": "8b35c00edfa4edfd7a99d816e671023d2c000d55", "title": "AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578241"]}, {"id": "a0e03c5b647438299c79c71458e6b1776082a37b", "title": "Areas of Attention for Image Captioning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01033.pdf"], "doi": []}, {"id": "9976b88d15f89b6c82b16564735d489a7524821d", "title": "Learning Visual N-Grams from Web Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.09161.pdf"], "doi": []}, {"id": "0b938c4a993e7e2fda81426924cb91c108a7830c", "title": "Which Emoji Talks Best for My Picture?", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8609639"]}, {"id": "4041cf003f797007fe53ac89fd57072f97257abd", "title": "End-to-end policy learning for active visual categorization.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4041/cf003f797007fe53ac89fd57072f97257abd.pdf"], "doi": []}, {"id": "f741cba061655581f6fbb628613d0669c4bdecd5", "title": "Deep Cosine Metric Learning for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354191"]}, {"id": "c91e94e981084f5d9c3c1479fa90b8b091826d1d", "title": "Variational Bayesian Multiple Instance Learning with Gaussian Processes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099576"]}, {"id": "03c820f35afdc38dd05e4c663d2877e2602bcde0", "title": "Semantically Guided Visual Question Answering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354309", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00205", "http://doi.org/10.1109/WACV.2018.00205"]}, {"id": "23a0cfaceb35413bd6caad437e37d566fcfdcc64", "title": "MindCamera: Interactive Sketch-Based Image Retrieval and Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267031"]}, {"id": "9d5a5517650d5f9a7d9818bcc1eb59ba65d316e1", "title": "Conditional Generative Adversarial Network for Structured Domain Adaptation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Hong_Conditional_Generative_Adversarial_CVPR_2018_paper.pdf", "https://weixianghong.github.io/publications/papers/CVPR_18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578243", "http://doi.org/10.1109/cvpr.2018.00145"]}, {"id": "f87aa7d7b746e24e3b08fd3375331068ecd13311", "title": "Mask-SLAM: Robust Feature-Based Monocular SLAM by Masking Using Semantic Segmentation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575524"]}, {"id": "3bb0ab7ebe1ffb83aa9775ffe2602407c9d6329d", "title": "Active Decision Boundary Annotation with Deep Generative Models", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237827"]}, {"id": "93adca9ce6f4a0fab9ea027c90b4df828cfa10d7", "title": "Learning Actionable Representations from Visual Observations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593951"]}, {"id": "6962505b78d0cec04b992a059cc58870c361c971", "title": "Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.00218.pdf"], "doi": []}, {"id": "747e9b36c5a1b0b8a9572da0ab416ddd1e1d2d33", "title": "Augmentation for Visual Question Answering", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/747e/9b36c5a1b0b8a9572da0ab416ddd1e1d2d33.pdf"], "doi": []}, {"id": "85473d7bd0b73488f22d8443583165fdbd3d221d", "title": "Product Quantized Translation for Fast Nearest Neighbor Search", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16953", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16953/16702"]}, {"id": "86d9f836c5fc542e987601a102c2b6cdbca1d64f", "title": "Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780602"]}, {"id": "c719a941d3ab00e45d1d74e7533ed59cc0740ae2", "title": "Does Optical Character Recognition and Caption Generation Improve Emotion Detection in Microblog Posts?", "year": "2017", "pdf": ["http://www.romanklinger.de/publications/klinger2017-nldb.pdf", "http://www.romanklinger.de/talks/nldb.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-59569-6_39"]}, {"id": "4f618cbf19917ce5b8703adbc14e15b0bf0d35cc", "title": "Multi-View Dynamic Facial Action Unit Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07863.pdf"], "doi": []}, {"id": "1f2b28dc48c8f2c0349dce728d7b6a0681f58aea", "title": "A Dataset for Lane Instance Segmentation in Urban Environments", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01347.pdf"], "doi": []}, {"id": "7d6132a884d2b154059c461e107c7a8c41603ef7", "title": "Exploring Multi-Branch and High-Level Semantic Networks for Improving Pedestrian Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00872.pdf"], "doi": []}, {"id": "8e06f628d0566e31366cf046b4a83ac4724ea7c3", "title": "Categorizing Concepts with Basic Level for Vision-to-Language", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Categorizing_Concepts_With_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578619", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00521", "http://doi.org/10.1109/CVPR.2018.00521"]}, {"id": "72048081cfe678f700c52e1c7a56713a8e0865b6", "title": "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02074.pdf"], "doi": []}, {"id": "974aa04b051bd2493bf4aaa5cd410dcb8f3b264d", "title": "Red Hen Lab: Dataset and Tools for Multimodal Human Communication Research", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s13218-017-0505-9"]}, {"id": "13ad6164dba75845f0f397e9314ad596e74eb946", "title": "Learning to Estimate 3D Human Pose and Shape from a Single Color Image", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578153"]}, {"id": "91e89cedd4093bfe176532530ddb960f2767aca5", "title": "Cross-Domain Self-Supervised Multi-task Feature Learning Using Synthetic Imagery", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578184"]}, {"id": "f28e2bb46e49799589787e466c3ca966a0897bf7", "title": "Textually Customized Video Summaries", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01528.pdf"], "doi": []}, {"id": "bcb35a8eb4cea46755c7430618e4ecfa4647b360", "title": "Deep Joint Semantic-Embedding Hashing", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bcb3/5a8eb4cea46755c7430618e4ecfa4647b360.pdf"], "doi": []}, {"id": "4b59e1fbcd68d616c9e5d02a62d332b0b2c268c5", "title": "Training Recurrent Neural Network through Moment Matching for NLP Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4b59/e1fbcd68d616c9e5d02a62d332b0b2c268c5.pdf"], "doi": []}, {"id": "b8ccc5341a1b0214e9d155b019962023f344c2ee", "title": "Incremental Learning of Object Detectors without Catastrophic Forgetting", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06977.pdf"], "doi": []}, {"id": "45dd2a3cd7c27f2e9509b023d702408f5ac11c9d", "title": "Stacked Cross Attention for Image-Text Matching", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08024.pdf"], "doi": []}, {"id": "02a4e2569b8033eff87099ad402f251d02213cfe", "title": "Learning-Based Cloth Material Recovery from Video", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237732"]}, {"id": "ff23167f18723faf41265cd36ee2cf1de45a3048", "title": "Straight to Shapes: Real-Time Detection of Encoded Shapes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099931"]}, {"id": "47b4c33621bc0e636d6c268ad6acb319e12abbee", "title": "StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.10916.pdf"], "doi": []}, {"id": "26d27a6de0360ed690248a9dd08e4ec0818472b0", "title": "DehazeGAN: When Image Dehazing Meets Differential Programming", "year": "2018", "pdf": ["http://www.pengxi.me/wp-content/uploads/Papers/2018-IJCAI-DehazeGAN.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F172", "https://doi.org/10.24963/ijcai.2018/172"]}, {"id": "2284ba28bd3b1afaf06afb8c2a94638e350b3ecb", "title": "Boosting Object Proposals: From Pascal to COCO", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01226.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410538", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.181", "http://doi.org/10.1109/ICCV.2015.181"]}, {"id": "21d7130230162af2a4cc1b9375bfe9b37dbbd499", "title": "Origami: A 803-GOp/s/W Convolutional Network Accelerator", "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.04295.pdf"], "doi": []}, {"id": "efbac99adf8628aae7f070e5b4388a295956f9d2", "title": "CondenseNet: An Efficient DenseNet Using Learned Group Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578389"]}, {"id": "015d25f66514ce0a966300944201d45968a104ba", "title": "SIMPLE IMAGE DESCRIPTION GENERATOR VIA A LINEAR PHRASE-BASED MODEL R\u00e9mi Lebret", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/015d/25f66514ce0a966300944201d45968a104ba.pdf"], "doi": []}, {"id": "47f8a217de3df8d70c3ac7fac73696a9104b1294", "title": "Weakly-supervised image captioning based on rich contextual information", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-017-5236-2"]}, {"id": "1fefc1d288a87fe218ba25024c4b2b6ef345738e", "title": "Self-ensembling for domain adaptation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1fef/c1d288a87fe218ba25024c4b2b6ef345738e.pdf"], "doi": []}, {"id": "688cb9fd33769b152806c04ef6fc276629a9f300", "title": "LocNet: Improving Localization Accuracy for Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07763.pdf"], "doi": []}, {"id": "c96f012f4915398259e7e223810c57898b5e1a76", "title": "Fast LIDAR-based Road Detection Using Convolutional Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c96f/012f4915398259e7e223810c57898b5e1a76.pdf"], "doi": []}, {"id": "c562e95b7906066be4210d00c4f6187475e6e13a", "title": "Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.10535.pdf"], "doi": []}, {"id": "a24a0126f76ba1423ac3548ef95aa24ac4e670dd", "title": "How Would You Say It ? Eliciting Lexically Diverse Data for Supervised Semantic Parsing", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3870/0128bc3ce57a04c46458c3898eaaa1166508.pdf"], "doi": []}, {"id": "99975f84728140154a35b0763753b35bc44e1d5a", "title": "Video Description: A Survey of Methods, Datasets and Evaluation Metrics", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00186.pdf"], "doi": []}, {"id": "a6a6cfae45e8633c01793debf43592b7d515f65d", "title": "From ImageNet to Mining: Adapting Visual Object Detection with Minimal Supervision", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a6a6/cfae45e8633c01793debf43592b7d515f65d.pdf"], "doi": []}, {"id": "acf13c52c86a3b38642ba0c6cbcd1b771778965c", "title": "NAACL HLT 2018 Generalization in the Age of Deep Learning Proceedings of the Workshop", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e255/eb6d8e46275387f71986a26d81fd746e0147.pdf"], "doi": []}, {"id": "fd716faea00fb6ec433a62c79aced17d51de8d23", "title": "Cascaded Contextual Region-based Convolutional Neural Network for Event Detection from Time Series Signals: A Seismic Application", "year": "2017", "pdf": [], "doi": []}, {"id": "64bff565c83c6ce3fac783d8d67191af99803701", "title": "Learning to Co-Generate Object Proposals with a Deep Structured Network", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/217984/files/HayderHeSalzmannCVPR16.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.281", "http://doi.org/10.1109/CVPR.2016.281"]}, {"id": "1779b6a17ee68afafb6801477b165f19901689b2", "title": "Object Contour Detection with a Fully Convolutional Encoder-Decoder Network", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780397"]}, {"id": "5ac18d505ed6d10e8692cbb7d33f6852e6782692", "title": "The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00982.pdf"], "doi": []}, {"id": "f2b95f135b95c3df4f6ebe6015098a2e1667711d", "title": "Weakly Supervised Object Localization Using Things and Stuff Transfer", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08000.pdf"], "doi": []}, {"id": "e2c122bea06dfa067712cdb58ce474144f93af07", "title": "Phrase-based Image Captioning with Hierarchical LSTM Model", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05557.pdf"], "doi": []}, {"id": "acd26d5b85e979d73101ac790bfdedf17bfe8ed1", "title": "Learning from PhotoShop Operation Videos : the PSOV Dataset", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/acd2/6d5b85e979d73101ac790bfdedf17bfe8ed1.pdf"], "doi": []}, {"id": "0e0900b88c33b671be5dd2ded9885b6526d6b429", "title": "From captions to visual concepts and back", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4952.pdf"], "doi": []}, {"id": "3e08a3912ebe494242f6bcd772929cc65307129c", "title": "Few-Shot Image Recognition by Predicting Parameters from Activations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578853"]}, {"id": "47a2b1ba7e4275174a017a290f2e5de7de0acb00", "title": "Semantically Coherent Co-Segmentation and Reconstruction of Dynamic Scenes", "year": "2017", "pdf": ["http://epubs.surrey.ac.uk/813877/1/cvprFinalOpenAccess.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Mustafa_Semantically_Coherent_Co-Segmentation_CVPR_2017_paper.pdf", "https://arminmustafa.github.io/docs/cvpr17/ArminCVPR2017.pdf", "https://arminmustafa.github.io/docs/cvpr17/ppt.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100075", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.592", "http://doi.org/10.1109/CVPR.2017.592"]}, {"id": "6c0c368fca391b4456e64d2943d0bcbe6d8e1ecc", "title": "A Pipeline for Creative Visual Storytelling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08077.pdf"], "doi": []}, {"id": "dc7a4d5ba20ca07d29c360b26e1e72afae9a77be", "title": "The ApolloScape Open Dataset for Autonomous Driving and its Application", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06184.pdf"], "doi": []}, {"id": "9120d59f2ca86954b45d254cae1409cb0806d9c7", "title": "DenseFuse: A Fusion Approach to Infrared and Visible Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08361.pdf"], "doi": []}, {"id": "428017f7a6df4d667275c7ac9b3feba39b70e4ae", "title": "CNN-RNN: A Unified Framework for Multi-label Image Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04573.pdf"], "doi": []}, {"id": "aa74e63360c341f47a921e0043c5d58d55807fe4", "title": "Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.05672.pdf"], "doi": []}, {"id": "ecbaa92c289f4f5ff9a57b19a2725036a92311f5", "title": "Focused Evaluation for Image Description with Binary Forced-Choice Tasks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ecba/a92c289f4f5ff9a57b19a2725036a92311f5.pdf"], "doi": []}, {"id": "b3eb61c3542e0c6bafb4c1acd05cffc0970faa85", "title": "Region-Based Image Retrieval Revisited", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09106.pdf"], "doi": []}, {"id": "904b322a61d9be9c0b1023946320f9245533085e", "title": "Multi-Residual Networks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/95cd/6df1b921859103f2eea702e8d3622a862a08.pdf"], "doi": []}, {"id": "62a5f2a142fe636632f6467176ab18bb86e6398e", "title": "Pixelated Semantic Colorization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10889.pdf"], "doi": []}, {"id": "a0e286f3c6a72c857ffd03bd8ab9a9f9b98c4432", "title": "AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04452.pdf"], "doi": []}, {"id": "333be4858994e6d9364341aeb520f7800a0f6a07", "title": "Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05424.pdf"], "doi": []}, {"id": "23ef40af4fda9c7db8fd7596d34446303c378793", "title": "Towards a Generalized Approach for Deep Neural Network Based Event Processing for the Internet of Multimedia Things", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331844", "http://doi.org/10.1109/ACCESS.2018.2823590"]}, {"id": "b0760764dc573b519f76d5a79531d49af333c67a", "title": "Neural Style Transfer: A Review", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04058.pdf"], "doi": []}, {"id": "5fa587381a9e4308163b3a5395985f0375c3cf7d", "title": "Deep Extreme Cut: From Extreme Points to Object Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09081.pdf"], "doi": []}, {"id": "2f005b31b41face8a8b157e2ce7f97ece5b61391", "title": "L 1 Graph Based Sparse Model for Label Denoising", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2f00/5b31b41face8a8b157e2ce7f97ece5b61391.pdf"], "doi": []}, {"id": "ede3af38e30ca332af0c1ce3bd5144070f7fb7f3", "title": "SGN: Sequential Grouping Networks for Instance Segmentation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_SGN_Sequential_Grouping_ICCV_2017_paper.pdf", "http://www.cs.toronto.edu/~fidler/papers/sgn_iccv17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237640", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.378", "http://doi.org/10.1109/ICCV.2017.378"]}, {"id": "284af686292a6119129b410413831f8d2363fcc6", "title": "Learning Representation for Scene Understanding: Epitomes, CRFs, and CNNs", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/284a/f686292a6119129b410413831f8d2363fcc6.pdf"], "doi": []}, {"id": "73f1a3d88defbd5481214e27da7df501d0e31fb1", "title": "Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01703.pdf"], "doi": []}, {"id": "2eef20a11324686099ee6f9b1a7613444b0d2112", "title": "Dual-Path Convolutional Image-Text Embedding with Instance Loss", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05535.pdf"], "doi": []}, {"id": "f9255703f0a89c9ca2e9256595a0526829ff4402", "title": "On the Importance of Visual Context for Data Augmentation in Scene Understanding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02492.pdf"], "doi": []}, {"id": "e8e43abbc8bee64a53af64ceca90bfb687f7bb9d", "title": "Fast Object Class Labelling via Speech", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09461.pdf"], "doi": []}, {"id": "3f775e3be9e1a00ebf4fd281e524932e88cec0ae", "title": "Deep Contextual Recurrent Residual Networks for Scene Labeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.03594.pdf"], "doi": []}, {"id": "c5b9a96fcb07f538be3181922e5f1a24a7936783", "title": "Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09563.pdf"], "doi": []}, {"id": "d5673c53b3643372dd8d35136769ecd73a6dede3", "title": "A Deep Learning Framework for Smart Street Cleaning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944927", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.49", "http://doi.org/10.1109/BigDataService.2017.49"]}, {"id": "456983805a8781d6429bed1ed66dc9f3902767af", "title": "Seeing with Humans : Gaze-Assisted Neural Image", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4569/83805a8781d6429bed1ed66dc9f3902767af.pdf"], "doi": []}, {"id": "a759570e6ef674cd93068020c2e6bd036961f7c6", "title": "SPEECH-COCO: 600k Visually Grounded Spoken Captions Aligned to MSCOCO Data Set", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.08435.pdf"], "doi": []}, {"id": "e7b92fc6e2f1a13a3076a48a78e03badacb0465b", "title": "Deep Cauchy Hashing for Hamming Space Retrieval", "year": "2018", "pdf": ["http://ise.thss.tsinghua.edu.cn/~mlong/doc/deep-cauchy-hashing-cvpr18.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Deep_Cauchy_Hashing_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578232", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00134", "http://doi.org/10.1109/CVPR.2018.00134"]}, {"id": "7892606127c94d0be5c9bea5b6cb539f7fe3bf39", "title": "Combining Multiple Cues for Visual Madlibs Question Answering", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1096-0"]}, {"id": "e42b2981f4e8de54213d624d1ef12bad4fe02f0a", "title": "Through-Wall Human Pose Estimation Using Radio Signals", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578866"]}, {"id": "c896502edcdec38466e7d66f38fb53a57c8e05db", "title": "Image Companding and Inverse Halftoning using Deep Convolutional Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00116.pdf"], "doi": []}, {"id": "30a68bea6a43c239d899d7f02bb8ef9f3c5a8f47", "title": "Cross-Media Similarity Evaluation for Web Image Retrieval in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01305.pdf"], "doi": []}, {"id": "fdce9cbe5c726201575b3c8a8c1af0752f1af53f", "title": "MAttNet: Modular Attention Network for Referring Expression Comprehension", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578240"]}, {"id": "91bb3680cee8cd37b80e07644f66f9cccf1b1aff", "title": "PASCAL Boundaries: A Semantic Boundary Dataset with a Deep Semantic Boundary Detector", "year": "2017", "pdf": ["http://www.cs.jhu.edu/~alanlab/Pubs17/premachandran2017pascalboundaries.pdf", "https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926599.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926599", "http://doi.org/10.1109/WACV.2017.16"]}, {"id": "09b2e7af73689dbdba1547e19111a6ee06767906", "title": "PoseTrack: A Benchmark for Human Pose Estimation and Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578640"]}, {"id": "38e3c26829e38c6b56f7c541e0c4445820fab0fe", "title": "BOLD5000: A public fMRI dataset of 5000 images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01281.pdf"], "doi": []}, {"id": "57bfbd06e94c5def35c1dde901bb4f1c839dbcdf", "title": "Deep patch learning for weakly supervised object classification and discovery", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02429.pdf"], "doi": []}, {"id": "165ef2b5f86b9b2c68b652391db5ece8c5a0bc7e", "title": "Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780717"]}, {"id": "944faf7f14f1bead911aeec30cc80c861442b610", "title": "Action Tubelet Detector for Spatio-Temporal Action Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01861.pdf"], "doi": []}, {"id": "729a30040132909cda0eab2c6c4ba60d6d1941b5", "title": "Image-based Plant Species Identification with Deep Convolutional Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/729a/30040132909cda0eab2c6c4ba60d6d1941b5.pdf"], "doi": []}, {"id": "28af8e1a3cb3a158f8a642c8493fcfb207743d0a", "title": "Better Image Segmentation by Exploiting Dense Semantic Predictions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01481.pdf"], "doi": []}, {"id": "139ab79a0aae5d4346f907b7b29288d09ef373fa", "title": "A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08412.pdf"], "doi": []}, {"id": "24aee34d1fb3cf5b1cddc2c6ef9259506be4e9c0", "title": "Visual Context Learning with Big Data Analytics", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7836722", "http://doi.org/10.1109/ICDMW.2016.0091"]}, {"id": "9b18cc5c938062161a4b6b0c71ee7a6c550a15f7", "title": "A Scalable Optimization Mechanism for Pairwise based Discrete Hashing.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10810.pdf"], "doi": []}, {"id": "ad9b3dc6c0e54070cec79df86458ed38566da1ff", "title": "Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01393.pdf"], "doi": []}, {"id": "2a74b00daa80e64cde5256bc014d1b011926b97b", "title": "Shake-Shake regularization", "year": "2017", "pdf": [], "doi": []}, {"id": "40c1aec7e0830bf9dd8a689d671024567311ae72", "title": "Interact as You Intend: Intention-Driven Human-Object Interaction Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09796.pdf"], "doi": []}, {"id": "4d1e28368e1121872bcd4ce75bc7ba5e43bd42d0", "title": "Attend to You: Personalized Image Captioning with Context Sequence Memory Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06485.pdf"], "doi": []}, {"id": "b6f682648418422e992e3ef78a6965773550d36b", "title": "CBMM Memo No . 061 February 8 , 2017 Full interpretation of minimal images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b6f6/82648418422e992e3ef78a6965773550d36b.pdf"], "doi": []}, {"id": "2595319371a06449e3f8cef251303aecbb9e731e", "title": "A Review on Object Recognition for Blind People Based on Deep Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2595/319371a06449e3f8cef251303aecbb9e731e.pdf"], "doi": []}, {"id": "e7df750805d6c025d0a1a74a05a83bcf8cc63dd7", "title": "Assessment of crowdsourcing and gamification loss in user-assisted object segmentation", "year": "2015", "pdf": ["http://upcommons.upc.edu/bitstream/handle/2117/81293/asknseek.pdf;jsessionid=469B72384B7C56D4A331D68A53942294?sequence=1"], "doi": ["https://doi.org/10.1007/s11042-015-2897-6"]}, {"id": "abd4152773ebb97b90163b9a6bbdf2075e825481", "title": "Procedural Text Generation from an Execution Video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/abd4/152773ebb97b90163b9a6bbdf2075e825481.pdf"], "doi": []}, {"id": "72f8df596eb9bb3a8c8206329083c42e70fcd9fd", "title": "Will People Like Your Image?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05203.pdf"], "doi": []}, {"id": "9684a54d9ff94855a40a2dc3eeb1ff16b44795fe", "title": "Human, Object and Scene Centric Image Retrieval Engine to Enhance Image Management", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261019"]}, {"id": "b3b85d0a697c9b0309965151dcc396eb70adf46e", "title": "Shallowing Deep Networks: Layer-wise Pruning based on Feature Representations.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30296213", "http://doi.org/10.1109/TPAMI.2018.2874634"]}, {"id": "5925a25dfe107c49c636eccb8f9fd1aeef7b438c", "title": "Temporal Shift Module for Efficient Video Understanding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08383.pdf"], "doi": []}, {"id": "821ba3eba1e36a29cc482f5378f4a0d0f6893159", "title": "Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07926.pdf"], "doi": []}, {"id": "1ca06a9c5e80bc0d4011f0d6f6ccc1a5ee746844", "title": "Automatic Image Cropping: A Computational Complexity Study", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_Automatic_Image_Cropping_CVPR_2016_paper.pdf", "http://pages.cs.wisc.edu/~liangz/12_Chen_Automatic_Image_Cropping_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780430", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.61", "http://doi.org/10.1109/CVPR.2016.61"]}, {"id": "64a336f952ec67f85fe00092847d50dd29e4cddc", "title": "Fast Screening Algorithm for Template Matching FAST SCREENING ALGORITHM FOR TEMPLATE MATCHING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/64a3/36f952ec67f85fe00092847d50dd29e4cddc.pdf"], "doi": []}, {"id": "cd8398e82e0c0cc4276a1694fd333214ede337ea", "title": "Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02563.pdf"], "doi": []}, {"id": "8e416d760feb5f23bc1a6dab98eb1f6e75ab8907", "title": "Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08251.pdf"], "doi": []}, {"id": "f7186eb3d717694d4ab1730a8d0f662e90c44d6f", "title": "A Computational Study on Word Meanings and Their Distributed Representations via Polymodal Embedding", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f718/6eb3d717694d4ab1730a8d0f662e90c44d6f.pdf"], "doi": []}, {"id": "35c5b84fa47e5b6cee201f831507f62482ccebcc", "title": "CUNI System for the WMT 17 Multimodal Traslation Task", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/35c5/b84fa47e5b6cee201f831507f62482ccebcc.pdf"], "doi": []}, {"id": "b63041d05b78a66724fbcb2803508999bf885d6b", "title": "Deep Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06114.pdf"], "doi": []}, {"id": "d318f3ca49f7f2159b9fc0face08eb284d5442dc", "title": "Scene Text Detection via Holistic, Multi-Channel Prediction", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.09002.pdf"], "doi": []}, {"id": "f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6", "title": "Rapid Object Detection Systems , Utilising Deep Learning and Unmanned Aerial Systems ( Uas ) for Civil Engineering Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f81f/5da2a1e4eb80b465b8dffca4c9e583a8a8a6.pdf"], "doi": []}, {"id": "45e2aa7706fcedcbb2d93304a9824fe762b8b3b0", "title": "DAC-SDC Low Power Object Detection Challenge for UAV Applications", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00110.pdf"], "doi": []}, {"id": "8f45907fba8fce5e9d958cf66cb68b406858fbb6", "title": "Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05477.pdf"], "doi": []}, {"id": "f672bf42dbefb6b40921c00a05f60284934e9948", "title": "LDS-Inspired Residual Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f672/bf42dbefb6b40921c00a05f60284934e9948.pdf"], "doi": []}, {"id": "c0343f9cc5f16166bda83815812c4c71ab3258e3", "title": "Hierarchical LSTMs with Adaptive Attention for Visual Captioning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.11004.pdf"], "doi": []}, {"id": "e075c5ef9d7d4ef77c92008ffaa7ac12e60383c1", "title": "Fusing Saliency Maps with Region Proposals for Unsupervised Object Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03905.pdf"], "doi": []}, {"id": "fb6bcf5763fe7ec7366f5991400090fa503613a7", "title": "Reduce Cognitive Burden on Drivers through Contextualising Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8417781", "http://doi.org/10.1109/VTCSpring.2018.8417781"]}, {"id": "a133374b9630bbe6eb2b7de8c3204aa57e75c582", "title": "A Deep Network Solution for Attention and Aesthetics Aware Photo Cropping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a133/374b9630bbe6eb2b7de8c3204aa57e75c582.pdf"], "doi": []}, {"id": "ccbd7e417158e7ae0f9f61c3b6d1e5a3317cce34", "title": "Object Proposals in Computer Vision", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7fb4/19f28652e4d1b1ddab1a19bdc5be1c7bbb62.pdf"], "doi": []}, {"id": "aa09ade36424fd83f067f234baffde294800e705", "title": "Is a Picture Worth Ten Thousand Words in a Review Dataset?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07496.pdf"], "doi": []}, {"id": "30ccfd2b4b6d5b30581356ccefcf96fd77c1766a", "title": "Overview of the ImageCLEF 2014 Scalable Concept Image Annotation Task", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a346/060e3b71a0553eaa4bc28fbc0114b1798fec.pdf"], "doi": []}, {"id": "a25c32ea0292af5eacd6e9e0ed53b9ff7e65433f", "title": "Learning to Learn from Web Data Through Deep Semantic Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06368.pdf"], "doi": []}, {"id": "247b14570940601f5c7a2da1db532ecf1c302288", "title": "Dual Attention Networks for Multimodal Reasoning and Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00471.pdf"], "doi": []}, {"id": "bb021f58f8822d12f5747d583a46005ade4a0b10", "title": "Breaking Microsoft \u2019 s CAPTCHA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bb02/1f58f8822d12f5747d583a46005ade4a0b10.pdf"], "doi": []}, {"id": "a7066c13ba21817abcf8ff955740493adf95b02c", "title": "Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09280.pdf"], "doi": []}, {"id": "c06447df3e50ec451240205cefa0708caee8ab8c", "title": "Picture it in your mind: generating high level visual representations from textual descriptions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.07287.pdf"], "doi": []}, {"id": "4ecaa651722a98c2847377f3ae1c70294b4791ce", "title": "Few-Example Object Detection with Model Communication.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.08249.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "28b72ad9229f38ec61f950e1d794d6af070d1800", "title": "Zero-shot Object Prediction using Semantic Scene Knowledge", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.07952.pdf"], "doi": []}, {"id": "877c5a3ad915c2bbb5595252d08163f34ce58957", "title": "LCR-Net: Localization-Classification-Regression for Human Pose", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Rogez_LCR-Net_Localization-Classification-Regression_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099617", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.134", "http://doi.org/10.1109/CVPR.2017.134"]}, {"id": "e8e662e45e39249756d2b0090782434a5cf1f4aa", "title": "VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hou_VegFru_A_Domain-Specific_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Hou_VegFru_A_Domain-Specific_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237328", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.66", "http://doi.org/10.1109/ICCV.2017.66"]}, {"id": "1db6a35c42e86d5cd64ad2a4803fd683647fab96", "title": "Tiny Transform Net for Mobile Image Stylization", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079034"]}, {"id": "8efb48fdb8616da5133efb8659cd96c53529f76a", "title": "Active Vision Dataset Benchmark", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w40/Ammirato_Active_Vision_Dataset_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575447", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00277", "http://doi.org/10.1109/CVPRW.2018.00277"]}, {"id": "71afbb37a81a44299872bee9ae888f4129962e18", "title": "RECURRENT NEURAL FEEDBACK MODEL FOR AUTOMATED IMAGE ANNOTATION", "year": "2017", "pdf": [], "doi": []}, {"id": "9d8747468f0fed8e335656d7fe9737e4dc21c798", "title": "RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.03353.pdf"], "doi": []}, {"id": "9f545b9006970f7626b7b121c5c3c66204f1ba40", "title": "Improving Pairwise Ranking for Multi-label Image Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03135.pdf"], "doi": []}, {"id": "2ba540ca70c7dee81e13768792aa7571952987f6", "title": "Drivable Road Detection Based on Dilated FPN with Feature Aggregation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8372075", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00172", "http://doi.org/10.1109/ICTAI.2017.00172"]}, {"id": "2e8b08c8df95d2ef8c0d03820094608e9cf456ab", "title": "License Plate Detection and Recognition in Unconstrained Scenarios", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e8b/08c8df95d2ef8c0d03820094608e9cf456ab.pdf"], "doi": []}, {"id": "8331fb280f083767fe85ba476862e519e0275233", "title": "OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02611.pdf"], "doi": []}, {"id": "54e0b4f63e6ed966d76b6ef83488249fd09d3a43", "title": "Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099857"]}, {"id": "f11f609facfb650ed8e659236a04bc0a664cb665", "title": "An Analysis of Scale Invariance in Object Detection - SNIP", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578475"]}, {"id": "a8773da25b133d258132d646024bf5ffd5694302", "title": "A Bottom-Up Approach Based on Semantics for the Interpretation of the Main Camera Stream in Soccer Games", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575392"]}, {"id": "666e08b6921a28fed75f35dd70d322f0edc06e41", "title": "Rain Removal in Traffic Surveillance: Does it Matter?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12574.pdf"], "doi": []}, {"id": "1ac6a33f04f6c5a8084c15c85295f987cc8e3d72", "title": "FVQA: Fact-Based Visual Question Answering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.05433.pdf"], "doi": []}, {"id": "3ab5d67310aa3592b68e9ef55df4603507d0d486", "title": "Learning Spatial Transforms for Refining Object Segment Proposals", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926595.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926595", "http://doi.org/10.1109/WACV.2017.12"]}, {"id": "757b27a3ceb2293b8284fc24a7084a0c3fc2ae21", "title": "Data Distillation: Towards Omni-Supervised Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578531"]}, {"id": "0d4dbd59e42e615ccf6cd4f71203be97afac48fb", "title": "End-to-End Joint Semantic Segmentation of Actors and Actions in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0d4d/bd59e42e615ccf6cd4f71203be97afac48fb.pdf"], "doi": []}, {"id": "81d327ec41c67728b15438bca86d10b72de1d88f", "title": "Visual Affordance and Function Understanding: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.06775.pdf"], "doi": []}, {"id": "df5094b2e8cf7e3bde3943ca7a56eb879b8e34ab", "title": "A Concatenated Residual Convolutional Network for Image Deblurring", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df50/94b2e8cf7e3bde3943ca7a56eb879b8e34ab.pdf"], "doi": []}, {"id": "b8298cf0056af5afa3185181ddd5f6bb03181696", "title": "Training for Diversity in Image Paragraph Captioning", "year": "2018", "pdf": [], "doi": ["https://aclanthology.info/papers/D18-1084/d18-1084", "http://aclweb.org/anthology/D18-1084"]}, {"id": "7a9fe5781220cca6ca600833015f200a9c03d50e", "title": "Teaching Machines to Describe Images via Natural Language Feedback", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00130.pdf"], "doi": []}, {"id": "08f46d6a91e513edd57a0ef15d5367b5d0545c1b", "title": "How do targets, nontargets, and scene context influence real-world object detection?", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/08f4/6d6a91e513edd57a0ef15d5367b5d0545c1b.pdf"], "doi": []}, {"id": "0612745dbd292fc0a548a16d39cd73e127faedde", "title": "Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04870.pdf"], "doi": []}, {"id": "4b4a174f46ce03caf1ffa4addd074aaa70539f35", "title": "BlazeIt: Fast Exploratory Video Queries using Neural Networks.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01046.pdf"], "doi": []}, {"id": "aa6f094f17d78380f927555a348ad514a505cc3b", "title": "SlowFast Networks for Video Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03982.pdf"], "doi": []}, {"id": "885d589101ab3c09bda20ee9578f2c6d2f6cddfa", "title": "Learning to Guide Decoding for Image Captioning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00887.pdf"], "doi": []}, {"id": "1553084dcbf2235428e7dbf57b57e567c5ea4d1f", "title": "AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.10583.pdf"], "doi": []}, {"id": "d7d2a1d42f0e3182d538cf8fb4d55f3e9d7ce779", "title": "Setting an attention region for convolutional neural networks using region selective features, for recognition of materials within glass vessels", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08711.pdf"], "doi": []}, {"id": "e56c99e8a94d3e585166fcd66f2ab6da60932f09", "title": "Semantic Speech Retrieval With a Visually Grounded Model of Untranscribed Speech", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.01949.pdf"], "doi": []}, {"id": "135c71101af5d030f8cf470c454e7b655d699920", "title": "Stacked Latent Attention for Multimodal Reasoning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Fan_Stacked_Latent_Attention_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578216", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00118", "http://doi.org/10.1109/CVPR.2018.00118"]}, {"id": "9d17e897e8344d1cf42a322359b48d1ff50b4aef", "title": "Learning to Fuse Things and Stuff", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01192.pdf"], "doi": []}, {"id": "185e7191dc5eca046d90205527da597b6ba9ae3c", "title": "Fast Self-Attentive Multimodal Retrieval", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354311", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00207", "http://doi.org/10.1109/WACV.2018.00207"]}, {"id": "6fdc0bc13f2517061eaa1364dcf853f36e1ea5ae", "title": "DAISEE: Dataset for Affective States in E-Learning Environments", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fdc/0bc13f2517061eaa1364dcf853f36e1ea5ae.pdf"], "doi": []}, {"id": "947c973846f2c5f8f42225c1108810bcdb4a7015", "title": "Grounded language understanding for manipulation instructions using GAN-based classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1801.05096.pdf"], "doi": []}, {"id": "d082f64b8a0a07d105207eb822be58ffb61b353a", "title": "EMOTIC: Emotions in Context Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w41/papers/Lapedriza_EMOTIC_Emotions_in_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015019", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.285", "http://doi.org/10.1109/CVPRW.2017.285"]}, {"id": "1e55e9c647832c969e449da28a391205a9704c60", "title": "Actor and Action Video Segmentation from a Sentence", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578722"]}, {"id": "b705ca751a947e3b761e2305b41891051525d9df", "title": "Exploring Context with Deep Structured Models for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.03183.pdf"], "doi": []}, {"id": "7c7af300c4780ad01e7db4d60fbf89771672585b", "title": "Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02518.pdf"], "doi": []}, {"id": "f4c45108cb41051010d8a5175b8da23eb246c967", "title": "Improving Image Captioning by Leveraging Knowledge Graphs", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658870"]}, {"id": "2c28c95066b1df918f956f3cc072e29fd452dcad", "title": "Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.09696.pdf"], "doi": []}, {"id": "356ac139eb92753d710c1cd6bbb84403b8cd711b", "title": "A virtual reality platform for dynamic human-scene interaction", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2992144"]}, {"id": "d3a545bb8008a717ef95aa981295f38e6cee0d9d", "title": "Art painting detection and identification based on deep learning and image local features", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6387-5"]}, {"id": "3b1860cacfd59893bb0f7e131e982e9bbeb21e87", "title": "Defect Detection from UAV Images Based on Region-Based CNNs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8637492"]}, {"id": "bd4b5fcdf801b13d51083f3f7809366751c81c09", "title": "c-RNN: A Fine-Grained Language Model for Image Captioning", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-018-9836-2"]}, {"id": "3f10b9d98a276fb9e21e5742ce88bc7f48629715", "title": "Imparare a Quantificare Guardando (Learning to Quantify by Watching)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3f10/b9d98a276fb9e21e5742ce88bc7f48629715.pdf"], "doi": []}, {"id": "bb60196acdd4b0870cd0dd7f5a7c712aa042b1d1", "title": "A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00799.pdf"], "doi": []}, {"id": "afc4cc092f990644ff7a11dc7ab60519920cbc9d", "title": "Learning Rich Features for Image Manipulation Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578214"]}, {"id": "09222c50d8ffcc74bbb7462400bd021772850bba", "title": "Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.02189.pdf"], "doi": []}, {"id": "7d39d69b23424446f0400ef603b2e3e22d0309d6", "title": "YOLO9000: Better, Faster, Stronger", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08242.pdf"], "doi": []}, {"id": "bc6a01ea112d45bdded0bb2d34a4782e4f6f16be", "title": "Real-world Multi-object, Multi-grasp Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00520.pdf"], "doi": []}, {"id": "bbe3d39adcb41ad2824204c0b0d299d77c2d8363", "title": "SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579079"]}, {"id": "d7443ed614548498a390aa1b83c74069aa923074", "title": "Dataless Black-Box Model Comparison", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1134/S1054661818040272"]}, {"id": "b20dc4906fc021aaf8353df98f8828d99f951c3c", "title": "Good View Hunting: Learning Photo Composition from Dense View Pairs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578668"]}, {"id": "f42099bcd6cd13146d96d1ed15353a4ebc1f4d9a", "title": "Single-Shot Refinement Neural Network for Object Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578540"]}, {"id": "d05825a394f11a391c8815f6b0d394cdb4cfaa95", "title": "I2T2I: Learning text to image synthesis with textual data augmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06676.pdf"], "doi": []}, {"id": "7985ac55e170273dd0ffa6bd756e588bab301d57", "title": "Mind's eye: A recurrent visual representation for image caption generation", "year": "2015", "pdf": ["http://www.cs.cmu.edu/~xinleic/docs/rvr/RVR-1.pdf", "http://www.cs.cmu.edu/~xinleic/papers/cvpr15_rnn.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_022.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_022_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_022_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Chen_Minds_Eye_A_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298856", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298856", "http://doi.org/10.1109/CVPR.2015.7298856"]}, {"id": "5979acf247d8af73b41da0eab6d8a7eda1036c9a", "title": "A Fully-Convolutional Framework for Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227388", "http://doi.org/10.1109/DICTA.2017.8227388"]}, {"id": "05357b8c05b5bc020e871fc330a88910c3177e4d", "title": "Multiple Instance Detection Network with Online Instance Classifier Refinement", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099809"]}, {"id": "2ce76250731cb19ccc5ffff43e4c6abec8f5af79", "title": "Learning to Segment Affordances", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w14/Luddecke_Learning_to_Segment_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265305", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.96", "http://doi.org/10.1109/ICCVW.2017.96"]}, {"id": "3468740e4a9fc72a269f4f0ca8470ccd60925f92", "title": "Robustness Analysis of Visual QA Models by Basic Questions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.04625.pdf"], "doi": []}, {"id": "9c11b1552748c697bbfd33c157f7b7875686eb10", "title": "Application of deep learning in object detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960069"]}, {"id": "bf2793fc09176f8bf23b3a2b3c6b32185e8a8329", "title": "Multi-level Fusion Based 3D Object Detection from Monocular Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578347"]}, {"id": "9a33c33190ce0c1bfffe2896ce162b3be05bc9e8", "title": "Using Explanations to Improve Ensembling of Visual Question Answering Systems", "year": "2017", "pdf": [], "doi": []}, {"id": "052373d7fd12145c41377f9a05513596d32e409c", "title": "Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780377"]}, {"id": "21ff1d20dd7b3e6b1ea02036c0176d200ec5626d", "title": "Loss Max-Pooling for Semantic Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02966.pdf"], "doi": []}, {"id": "82451d0ae2e0154b5f9cd096af199c35319e911a", "title": "Image spam filtering using convolutional neural networks", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1168-8"]}, {"id": "5fe7add7bb041eb52c9983fbdd792bfad1af9992", "title": "ELASTIC: Improving CNNs with Instance Specific Scaling Policies", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05262.pdf"], "doi": []}, {"id": "c2021d9652bf3ec3921bf9c13a06e1ea51588d54", "title": "Multimodal Image Captioning for Marketing Analysis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8396991"]}, {"id": "c88c233c50f49b4b85a8702d5ee384d96fca8c23", "title": "Object-Proposal Evaluation Protocol is \u2018Gameable\u2019", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780466"]}, {"id": "bd37ff771acd72ebdf4024043cb62fcacdd3a82b", "title": "Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval", "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.11013.pdf"], "doi": []}, {"id": "a9b219bd6ad71394ad21929fb5c50387698f340d", "title": "Geometry-Aware Traffic Flow Analysis by Detection and Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575394"]}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "79a05184a6689800fee40bbb95554ffeffafeee2", "title": "Deep Image Harmonization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099782"]}, {"id": "4d86a4c74201c0d5df9a4b259a70f2221a5cb0cb", "title": "Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099901"]}, {"id": "8067d5d3fc80abb010b239bbe012b50bae8e6611", "title": "On the Robustness of Semantic Segmentation Models to Adversarial Attacks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09856.pdf"], "doi": []}, {"id": "87fe38a79ee12531bb618d4006a476b3a5256f3e", "title": "Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02426.pdf"], "doi": []}, {"id": "04a5b47caca62d9351219726e92c08e60f74d652", "title": "A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02326.pdf"], "doi": []}, {"id": "fc09e358a130e88dead33bf6bb2cbc0e94c88291", "title": "Single-Shot Object Detection with Enriched Semantics", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578707"]}, {"id": "ca673e6c11000459e3ac27dc4ab5f29177d04fea", "title": "A detection method for low-pixel ratio object", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6653-6"]}, {"id": "e4a5ff03ac258f1bcc9c214c30497610b3d5faa2", "title": "DropBlock: A regularization method for convolutional networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12890.pdf"], "doi": []}, {"id": "d7cb7ca97a665f23165b3c5420e848563cdf1f15", "title": "Pooling Pyramid Network for Object Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03284.pdf"], "doi": []}, {"id": "38b2e523828a1f23ad5ad4306a0f9fedca167c90", "title": "Satellite Imagery Multiscale Rapid Detection with Windowed Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09978.pdf"], "doi": []}, {"id": "1b7a7d291235e4b6e5f97722124070feb26f3cc1", "title": "Learning Two-Branch Neural Networks for Image-Text Matching Tasks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.03470.pdf"], "doi": []}, {"id": "c27c2fe9642fb82a3dfc314ce6003fe7a88eb1ec", "title": "Interpretable R-CNN", "year": "2017", "pdf": [], "doi": []}]}
\ No newline at end of file
+{"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "citations": [{"id": "08f6b52317b34b60aa65f38b83e3d72deffa0473", "title": "Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/bae0/9864ea2c05bccf275cf824580ce212111e42.pdf"], "doi": []}, {"id": "ce9799830a24412f4bd9ad30a9d6e2a50215f8f8", "title": "Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01972.pdf"], "doi": []}, {"id": "369c4a308ec9e56746f7cc1b164208b917e31a22", "title": "Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/369c/4a308ec9e56746f7cc1b164208b917e31a22.pdf"], "doi": []}, {"id": "35ebe95db7ab148e25904604d3b06a9412f6b4a4", "title": "Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/80d9/993e6abd22a58a4fedd63754a15085778367.pdf"], "doi": []}, {"id": "d4901683e2c2552fc2d62d4eb3b1f5d5fa60a5ff", "title": "ScaleNet: Scale Invariant Network for Semantic Segmentation in Urban Driving Scenes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d490/1683e2c2552fc2d62d4eb3b1f5d5fa60a5ff.pdf"], "doi": []}, {"id": "254f7ef73629c18ff9ba13af59b2d78df3fda59d", "title": "Deep Object-Centric Representations for Generalizable Robot Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.04225.pdf"], "doi": []}, {"id": "0f08d62e882026ac83ebf26c0bd288c553873814", "title": "Multispecies Fruit Flower Detection Using a Refined Semantic Segmentation Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10080.pdf"], "doi": []}, {"id": "89fff8387432878db240a044a98ff9c9200f3197", "title": "Learning Globally Optimized Object Detector via Policy Gradient", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Rao_Learning_Globally_Optimized_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578746", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00648", "http://doi.org/10.1109/CVPR.2018.00648"]}, {"id": "b955969e1077ca328018c9e4dcf27b87ed9f5076", "title": "Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01887.pdf"], "doi": []}, {"id": "f56edb6f2bf4f5bc9d54284289212b8d4a437c1b", "title": "Detection and Localization of Texture-less Objects with Deep Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f56e/db6f2bf4f5bc9d54284289212b8d4a437c1b.pdf"], "doi": []}, {"id": "a345fc597b15c26f3f2823ccd5aac0d4c976279e", "title": "Adversarially Parameterized Optimization for 3D Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8374567", "http://doi.ieeecomputersociety.org/10.1109/3DV.2017.00026", "http://doi.org/10.1109/3DV.2017.00026"]}, {"id": "3d1e82b69663758a1db87fbebed6525d23090146", "title": "ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780713"]}, {"id": "7c2a6b27dd756fe851954e0c040bc87bbd39f098", "title": "Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w39/Xu_Using_Psychophysical_Methods_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575433", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00266", "http://doi.org/10.1109/CVPRW.2018.00266"]}, {"id": "9595a267de2b0ecf7e4e2962a606c8854551e203", "title": "On the Relation between Color Image Denoising and Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01372.pdf"], "doi": []}, {"id": "94a76e349e43f09c863a9c77e47722c5ade3740e", "title": "WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Durand_WELDON_Weakly_Supervised_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Durand_WELDON_Weakly_Supervised_2016_CVPR_supplemental.pdf", "http://webia.lip6.fr/~thomen/papers/Durand_CVPR_2016.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Durand_WELDON_Weakly_Supervised_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780882", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.513", "http://doi.org/10.1109/CVPR.2016.513", "https://hal.archives-ouvertes.fr/hal-01343785/document"]}, {"id": "f5f3faa71ed2b61fa3a99bde25d6e84bfbefbb0b", "title": "Automatic Fish Classification System Using Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371919", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00016", "http://doi.org/10.1109/ICTAI.2017.00016"]}, {"id": "3832a6d6b1f78cdadee6968d51c1c7c2922ab3cd", "title": "ISIA at the ImageCLEF 2017 Image Caption Task", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3832/a6d6b1f78cdadee6968d51c1c7c2922ab3cd.pdf"], "doi": []}, {"id": "6abdd7c4dea2d5d7ff82cd5e6e503be1589861df", "title": "Detection and Recognition of U.S. Warning Signs on Curves", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8372008", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00105", "http://doi.org/10.1109/ICTAI.2017.00105"]}, {"id": "a49b309ba14ad00a3bcb7b99a45d5bcf9bbc0ab1", "title": "Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Sankaranarayanan_Guided_Perturbations_Self-Corrective_ICCV_2017_paper.pdf", "https://arxiv.org/pdf/1703.07928v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237647", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.385", "http://doi.org/10.1109/ICCV.2017.385"]}, {"id": "104dd4963f7f0ef03fe09d505d31966666f9281d", "title": "Salient Object Subitizing", "year": "2015", "pdf": ["https://arxiv.org/pdf/1607.07525.pdf"], "doi": []}, {"id": "041755d1c14077ce18d8553aa40a415283edc825", "title": "W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_W2F_A_Weakly-Supervised_CVPR_2018_paper.pdf", "https://ivul.kaust.edu.sa/Documents/Publications/2018/W2F%20A%20Weakly-Supervised%20to%20Fully-Supervised%20Framework.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578201", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00103", "http://doi.org/10.1109/CVPR.2018.00103"]}, {"id": "ce8c8e9fdbdd84adc096018bb0edb49b6913b946", "title": "Learning Discriminative Features for Speaker Identification and Verification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ce8c/8e9fdbdd84adc096018bb0edb49b6913b946.pdf"], "doi": []}, {"id": "110556d073a4d930877edc597a92995f0ff9d294", "title": "Application of Faster R-CNN model on Human Running Pattern Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05147.pdf"], "doi": []}, {"id": "549c719c4429812dff4d02753d2db11dd490b2ae", "title": "YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00824.pdf"], "doi": []}, {"id": "1295cbaf3b03de2eb8c79530289f5939d7819e5c", "title": "DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1510.02927.pdf"], "doi": []}, {"id": "4cfd15e9d3c01028bcda22e68791a95aa54c2a7c", "title": "DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01766.pdf"], "doi": []}, {"id": "25b9ef5c78dbf17c71e6fd94054dd55d66c39264", "title": "Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.01606.pdf"], "doi": []}, {"id": "0b2c543e0c47454c4512569175094e6cb6ae02a9", "title": "The VizWiz Grand Challenge : A Large Visual Question Answering Dataset from Blind People Anonymous CVPR submission", "year": "", "pdf": ["https://pdfs.semanticscholar.org/0b2c/543e0c47454c4512569175094e6cb6ae02a9.pdf"], "doi": []}, {"id": "efb01e07ee994fec890ad83b89c9b652349da50e", "title": "What am I searching for", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11926.pdf"], "doi": []}, {"id": "1c9333bcf523388d75f852e0689b0e7f5a04faa4", "title": "Person Part Segmentation based on Weak Supervision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1c93/33bcf523388d75f852e0689b0e7f5a04faa4.pdf"], "doi": []}, {"id": "325093f2c5b33d7507c10aa422e96aa5b10a33f1", "title": "In-place Activated BatchNorm for Memory-Optimized Training of DNNs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578689"]}, {"id": "c399c0089fb134d1476fadf5f0426e0e8b70eebd", "title": "The Lov\u00e1sz Hinge: A Novel Convex Surrogate for Submodular Losses.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1512.07797.pdf"], "doi": []}, {"id": "c98e5a582e9f1b11bf5244ed16c78a7cbccf36b9", "title": "Towards Semantic SLAM: Points, Planes and Objects", "year": "2018", "pdf": [], "doi": []}, {"id": "b0d52bb1c9cff9416fe766e9cba94ceeab12d51f", "title": "Object detection using deep CNNs trained on synthetic images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06782.pdf"], "doi": []}, {"id": "1d21ec277d2a72e506a9665f19ec5478dbedc20f", "title": "A Semi-Automatic Annotation Technology for Traffic Scene Image Labeling Based on Deep Learning Preprocessing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8005815", "http://doi.ieeecomputersociety.org/10.1109/CSE-EUC.2017.63", "http://doi.org/10.1109/CSE-EUC.2017.63"]}, {"id": "619701bb7d73171d6311c9e14b8ac5919692d03e", "title": "Semantic Edge Detection with Diverse Deep Supervision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02864.pdf"], "doi": []}, {"id": "68f6b329044b01cce1660e953875ece2c3778c68", "title": "Intelligent Surveillance as an Edge Network Service: from Harr-Cascade, SVM to a Lightweight CNN", "year": "2018", "pdf": [], "doi": []}, {"id": "22aa426aeffb77339646cc03da8e94de22396efc", "title": "S HAKES HAKE REGULARIZATION OF 3-BRANCH RESIDUAL NETWORKS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/22aa/426aeffb77339646cc03da8e94de22396efc.pdf"], "doi": []}, {"id": "19f73120fa314666c841ea88cb2b627aa67251b4", "title": "Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06006.pdf"], "doi": []}, {"id": "3fea412361b2d14cb3c6723968b421c1c8cb38e8", "title": "Shake-Shake regularization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07485.pdf"], "doi": []}, {"id": "332339c32d41cc8176d360082b4d9faa90dadffa", "title": "UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.02132.pdf"], "doi": []}, {"id": "76b61ccb488ad7861e9e36054f96195877f4c9f6", "title": "Automatic image annotation: the quirks and what works", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6247-3"]}, {"id": "05e9e85b5137016c93d042170e82f77bb551a108", "title": "A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Perazzi_A_Benchmark_Dataset_CVPR_2016_paper.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_poster_cvpr_2016.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_supplementary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780454", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.85", "http://doi.org/10.1109/CVPR.2016.85"]}, {"id": "8899094797e82c5c185a0893896320ef77f60e64", "title": "Non-local Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578911"]}, {"id": "12660f0defc6580e566c0fa2ac909971d6c6883b", "title": "The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780721", "http://doi.org/10.1109/CVPR.2016.352", "https://www.wikidata.org/entity/Q57840870"]}, {"id": "bf881e53510b230879aa0d3b02576043b8f881e7", "title": "Automated Image Captioning Using Nearest-Neighbors Approach Driven by Top-Object Detections", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/bf88/1e53510b230879aa0d3b02576043b8f881e7.pdf"], "doi": []}, {"id": "10beef48f3a9b2c4a6c863edefe2cac8bf09b50c", "title": "Fine-Level Semantic Labeling of Large-Scale 3D Model by Active Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8491004", "http://doi.ieeecomputersociety.org/10.1109/3DV.2018.00066", "http://doi.org/10.1109/3DV.2018.00066"]}, {"id": "761de31c575bf30162b6e0d92a1800eb406e96b5", "title": "A Flexible Convolutional Solver with Application to Photorealistic Style Transfer", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05285.pdf"], "doi": []}, {"id": "96d1bf51b3aa118696ce18dc45924e5ca8b9d885", "title": "Insulator Detection in Aerial Images for Transmission Line Inspection Using Single Shot Multibox Detector", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8603728"]}, {"id": "10c4b2489d7e1ee43a1d19724d3c1e9c33ca3f29", "title": "A Question-Answering framework for plots using Deep learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04655.pdf"], "doi": []}, {"id": "dbc359e95d999bf119353f51edcb53b2beb5b3fe", "title": "Object Detection in Real-Time Systems: Going Beyond Precision", "year": "2018", "pdf": ["https://www.iiitd.edu.in/~chetan/papers/obj-det-wacv18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354221", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00117", "http://doi.org/10.1109/WACV.2018.00117"]}, {"id": "de1505819e145b5c22a6e09002510413019f7228", "title": "DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05675.pdf"], "doi": []}, {"id": "0b888196dda951287dddb60bd44798aab16d6fca", "title": "Learning Common Sense through Visual Abstraction", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Vedantam_Learning_Common_Sense_ICCV_2015_paper.pdf", "http://oui.csail.mit.edu/camera_readys/21.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Vedantam_Learning_Common_Sense_ICCV_2015_paper.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/ICCV2015_commonsense.pdf", "https://www.cc.gatech.edu/~parikh/Publications/ICCV2015_commonsense.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410649", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.292", "http://doi.org/10.1109/ICCV.2015.292"]}, {"id": "85cace98e07e190494a5d88eba5e5b11538dc3b1", "title": "Hierarchical Semantic Mapping Using Convolutional Neural Networks for Intelligent Service Robotics", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490234", "http://doi.org/10.1109/ACCESS.2018.2873597"]}, {"id": "2dd853b617c176810e3dda008f7cacea6473f0ae", "title": "Image captioning using deep neural architectures", "year": "2017", "pdf": ["https://arxiv.org/pdf/1801.05568.pdf"], "doi": []}, {"id": "25894be540936562953f37fbbcff69e5ac17a494", "title": "Semantic Image Retrieval via Active Grounding of Visual Situations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00088.pdf"], "doi": []}, {"id": "28949c94c8457e570ba65c8382c993600f8404e7", "title": "Efficient Video Object Segmentation via Network Modulation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578778"]}, {"id": "ba60b642a558858325f50d38a345b6bb85114ce1", "title": "Imbalanced Deep Learning by Minority Class Incremental Rectification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10851.pdf"], "doi": []}, {"id": "a4aa145b519a9515e1162ca017d80d460002ba5a", "title": "HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver Hands", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575312"]}, {"id": "442b6114ae8316c95f59acabe6de26f2b569cc02", "title": "Edit me: A Corpus and a Framework for Understanding Natural Language Image Editing", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1205/8e0de3dadc1469035ddb3c82e1b7ba722960.pdf"], "doi": []}, {"id": "729a9d35bc291cc7117b924219bef89a864ce62c", "title": "Recognizing Material Properties from Images.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03127.pdf"], "doi": []}, {"id": "144ba4e9e64d4f9a5bb436c80c3c02b40e4092e0", "title": "Learning Video Features for Multi-label Classification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/144b/a4e9e64d4f9a5bb436c80c3c02b40e4092e0.pdf"], "doi": []}, {"id": "9c0ff1f1e2c83f089cb6b42a91869428fe9a92b2", "title": "Commonsense LocatedNear Relation Extraction", "year": "2017", "pdf": [], "doi": []}, {"id": "e5918229f44f0215d73a0b9d5eb13eb56764a2e4", "title": "Counting Vehicles with Cameras", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e591/8229f44f0215d73a0b9d5eb13eb56764a2e4.pdf"], "doi": []}, {"id": "f7cf4e0b1e371efca045e71996956be19aef0577", "title": "C L ] 3 D ec 2 01 7 Adversarial Ranking for Language Generation", "year": "2017", "pdf": [], "doi": []}, {"id": "0199150ccad6479eac9d693a7cc0406935d877a8", "title": "Towards Real-Time Accurate Object Detection in Both Images and Videos Based on Dual Refinement.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08638.pdf"], "doi": []}, {"id": "4c8dfc4720186799b2baf53c282a32ba3f312bcc", "title": "A Mask Regional Convolutional Neural Network Model for Segmenting Real Time Traffic Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8493883"]}, {"id": "b29be8ae91eff7ccf001d48adf518bae86129be3", "title": "OmniDetector: With Neural Networks to Bounding Boxes", "year": "2018", "pdf": [], "doi": []}, {"id": "2fcd5cff2b4743ea640c4af68bf4143f4a2cccb1", "title": "Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.05612.pdf"], "doi": []}, {"id": "6a1b76f1ef876061ec479ab9bc13fcd517eb4188", "title": "Large Kernel Matters \u2014 Improve Semantic Segmentation by Global Convolutional Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02719.pdf"], "doi": []}, {"id": "3bcca85ad84806be6d38d3882f7a6aac0ad90253", "title": "Video captioning with recurrent networks based on frame- and video-level features and visual content classification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.02949.pdf"], "doi": []}, {"id": "39978ba7c83333475d6825d0ff897692933895fc", "title": "Conditional Random Fields as Recurrent Neural Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410536"]}, {"id": "6ee2173c06c84cae6aae2912a4439ec956ecc3bb", "title": "Zero-shot Sim-to-Real Transfer with Modular Priors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07480.pdf"], "doi": []}, {"id": "fd0769033b18038b9baf9e762f16973ee27be626", "title": "MobileNetV2: Inverted Residuals and Linear Bottlenecks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578572"]}, {"id": "b408b939c0f3be9cce0f84871a78a71d1684cd77", "title": "Identifying spatial relations in images using convolutional neural networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04215.pdf"], "doi": []}, {"id": "8aa9d9ccbdf37fd1d9fb4f3adb778b3c2c9baa45", "title": "POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575327"]}, {"id": "ed7de328e2191463d42d745d8ac8f16024f95f25", "title": "Beyond Planar Symmetry: Modeling Human Perception of Reflection and Rotation Symmetries in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237354"]}, {"id": "37b207d2c4a82a57f80e96353f79ecd71320a854", "title": "Person Search with Natural Language Description", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05729.pdf"], "doi": []}, {"id": "54f688ea5de7b9156db28b2821e5f5ed0148605a", "title": "Contextual Memory Trees", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.06473.pdf"], "doi": []}, {"id": "4a88237199595feaa3f0e3289cbdd201a3ce28ff", "title": "Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08338.pdf"], "doi": []}, {"id": "3979e8ddcf95fedf7a220b7d39a72fa120d436f8", "title": "Deep Learning Applied to Image and Text Matching", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.03478.pdf"], "doi": []}, {"id": "df9a102288582d8edadeddcb8d55068a06cc471c", "title": "Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension", "year": "2017", "pdf": ["http://ai2-website.s3.amazonaws.com/publications/CVPR17_TQA.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Kembhavi_Are_You_Smarter_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100054", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.571", "http://doi.org/10.1109/CVPR.2017.571"]}, {"id": "9bddd98289ecc7a8dc5517122d21d5c6f5a9a01a", "title": "DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.10733.pdf"], "doi": []}, {"id": "d951ff5f378b2a5f878423029123ad6b3491b444", "title": "Foveal Vision for Instance Segmentation of Road Images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c33e/a181e9cd13ad3f11f459d5d1f7b7bf114033.pdf"], "doi": []}, {"id": "9645e8b4829c04879a642d8dd6b3cdf5cf264afb", "title": "Finding Beans in Burgers: Deep Semantic-Visual Embedding with Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01720.pdf"], "doi": []}, {"id": "1e2d9ea6fe9c50a5c26a629b94446250e1be4e7d", "title": "The Freiburg Groceries Dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05799.pdf"], "doi": []}, {"id": "40c6a2b1cb312f11f8225a733545fdabd436e347", "title": "Deep Co-Training for Semi-Supervised Image Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05984.pdf"], "doi": []}, {"id": "1f0c7b93636f879bd5ef3dd915a02dcd813a053d", "title": "Interpreting Deep Visual Representations via Network Dissection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.05611.pdf"], "doi": []}, {"id": "402056b2d10b27c1b17dbb5eb82b95fd1cfd8fa5", "title": "Deriving Privacy and Security Considerations for CORE: An Indoor IoT Adaptive Context Environment", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3267363"]}, {"id": "5b3dc81a490b1d9e69d7be20c4e8e1de886b5ca3", "title": "Improving Object Localization with Fitness NMS and Bounded IoU Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00164.pdf"], "doi": []}, {"id": "b7c2798e136feb85847c8a9aa693d75bc3f9b08c", "title": "Classifying a specific image region using convolutional nets with an ROI mask as input", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00291.pdf"], "doi": []}, {"id": "372026896229c870f11bcecc1c81c80dad9c6761", "title": "Draw and Tell: Multimodal Descriptions Outperform Verbal- or Sketch-Only Descriptions in an Image Retrieval Task", "year": "2017", "pdf": [], "doi": ["https://aclanthology.info/papers/I17-2061/i17-2061", "http://aclweb.org/anthology/I17-2061", "https://pub.uni-bielefeld.de/download/2913598/2914382"]}, {"id": "8d384e8c45a429f5c5f6628e8ba0d73c60a51a89", "title": "Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.00666.pdf"], "doi": []}, {"id": "6f77ff9990973a6cdad6b5b6022323bff9d03965", "title": "Action Recognition in Still Images Using Word Embeddings from Natural Language Descriptions", "year": "2017", "pdf": ["http://cobweb.cs.uga.edu/~csc/papers/wacv17_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912210", "http://doi.org/10.1109/WACVW.2017.17"]}, {"id": "146f6f6ed688c905fb6e346ad02332efd5464616", "title": "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.03044.pdf"], "doi": []}, {"id": "e20daf69526c5da9cffb252d043fdc765f37a89e", "title": "Relating images and 3D models with convolutional neural networks. (Mise en relation d'images et de mod\u00e8les 3D avec des r\u00e9seaux de neurones convolutifs)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e20d/af69526c5da9cffb252d043fdc765f37a89e.pdf"], "doi": []}, {"id": "fb732b15fd5235893228ad3249cf04e1809034c9", "title": "CBVMR: Content-Based Video-Music Retrieval Using Soft Intra-Modal Structure Constraint", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06761.pdf"], "doi": []}, {"id": "eaf8c104ab14600ecc5e9cce739b55280eef7ad4", "title": "Abstractive Compression of Captions with Attentive Recurrent Neural Networks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/eaf8/c104ab14600ecc5e9cce739b55280eef7ad4.pdf"], "doi": []}, {"id": "dc4682cd15ccb7ebcbc8d2ba21b613e34a9af8ca", "title": "Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08960.pdf"], "doi": []}, {"id": "478a1ed7dc1890ca9476dcc1befe7f21c9bf9149", "title": "Learning to Learn from Noisy Labeled Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05214.pdf"], "doi": []}, {"id": "1e17202d6de18d5e1965edce5fee79744b717d0b", "title": "MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08681.pdf"], "doi": []}, {"id": "542289d1acfebb9d79ea7a10c8e1516924e09973", "title": "Video Highlight Prediction Using Audience Chat Reactions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.08559.pdf"], "doi": []}, {"id": "2badc4c87a7751dd5ae1797bc4091d10d1acf442", "title": "Multimodal Retrieval with Asymmetrically Weighted Regularized Canonical Correla- Tion Analysis", "year": "", "pdf": ["https://pdfs.semanticscholar.org/2bad/c4c87a7751dd5ae1797bc4091d10d1acf442.pdf"], "doi": []}, {"id": "9b45e9a40313096abf530df3b98a1dfa1553f17b", "title": "Comprehension-Guided Referring Expressions", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099816"]}, {"id": "66837b29270f3e03df64941a081d70c687c7955c", "title": "ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12126.pdf"], "doi": []}, {"id": "7d035e6c6b5ef1267dff23845009284677c16a4d", "title": "AlphaGAN: Generative adversarial networks for natural image matting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10088.pdf"], "doi": []}, {"id": "655f587a59c835a7b6b5017016ea1c2123f266e6", "title": "Separating Self-Expression and Visual Content in Hashtag Supervision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09825.pdf"], "doi": []}, {"id": "3ca194773fe583661b988fbdf33f7680764438b3", "title": "Exploring Nearest Neighbor Approaches for Image Captioning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04467.pdf"], "doi": []}, {"id": "f43463770d361e55fb6f6eb801a6e8530ab668cd", "title": "Corpus Construction and Semantic Analysis of Indonesian Image Description", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f434/63770d361e55fb6f6eb801a6e8530ab668cd.pdf"], "doi": []}, {"id": "46d8531797d8913b05f9124def1ef81ac30423c1", "title": "MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.05233.pdf"], "doi": []}, {"id": "f5748711db00d82469ff60e05f62319f1eac90c5", "title": "Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07169.pdf"], "doi": []}, {"id": "cfc22c35ad191cf9d70f4a3655840748b0e1322c", "title": "Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.06132.pdf"], "doi": []}, {"id": "6bfae88bea2301f2abeb6d1ed62c8b9a99b251c0", "title": "CNRS TELECOM ParisTech at ImageCLEF 2015 Scalable Concept Image Annotation Task: Concept Detection with Blind Localization Proposals", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6bfa/e88bea2301f2abeb6d1ed62c8b9a99b251c0.pdf"], "doi": []}, {"id": "478261574ddc6cf297611000735aa9808f8f0030", "title": "ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04405.pdf"], "doi": []}, {"id": "12d9a4233a16ea08fbb1de853b6a97b4f4952c23", "title": "Tractable Structured Prediction using the Permutohedral Lattice", "year": "2017", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-01.pdf?isAllowed=y&sequence=1", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-02.pdf?isAllowed=y&sequence=2"], "doi": ["https://doi.org/10.3929/ethz-a-010882665"]}, {"id": "e654320739770029ec5cb22174772c935478b237", "title": "Paraphrase Thought: Sentence Embedding Module Imitating Human Language Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05505.pdf"], "doi": []}, {"id": "b80f43b42b5320578d4c1e214fe1a8b6b45352ae", "title": "MSR-VTT: A Large Video Description Dataset for Bridging Video and Language", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Xu_MSR-VTT_A_Large_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Xu_MSR-VTT_A_Large_CVPR_2016_paper.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/cvpr16.msr-vtt.tmei_-1.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/10/cvpr16.supplementary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780940", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.571", "http://doi.org/10.1109/CVPR.2016.571"]}, {"id": "81cb69e401b3b51e49ec378dba4bc0c8e33448e1", "title": "Applying Domain Randomization to Synthetic Data for Object Category Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09834.pdf"], "doi": []}, {"id": "7b1dd2708e1d7bf0fdcda437de1970a9a6facc0d", "title": "Deep Recurrent Convolutional Neural Network: Improving Performance For Speech Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.07174.pdf"], "doi": []}, {"id": "18087bfafbe471f346c8b739522e64fa11e48b13", "title": "Visual Madlibs: Fill in the Blank Description Generation and Question Answering", "year": "2015", "pdf": ["http://acberg.com/papers/madlibs.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Yu_Visual_Madlibs_Fill_ICCV_2015_paper.pdf", "http://tamaraberg.com/papers/madlibs.pdf", "http://www.cs.unc.edu/~licheng/papers/iccv15_madlibs.pdf", "http://www.cs.unc.edu/~licheng/papers/iccv15_madlibs_supp.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yu_Visual_Madlibs_Fill_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410640", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.283", "http://doi.org/10.1109/ICCV.2015.283"]}, {"id": "ad8642e186c5c81d06934d4e6fc249b7cbca40e8", "title": "Learning Transferable Architectures for Scalable Image Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.07012.pdf"], "doi": []}, {"id": "04427d8371cb9e66e2cdcd2035756203398a8bf1", "title": "Learning Answer Embeddings for Visual Question Answering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578667"]}, {"id": "189b02caa2bb9ffb303154e35f60797ec8576f84", "title": "CRRN: Multi-scale Guided Concurrent Reflection Removal Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578600"]}, {"id": "3b8ad1f2335fc755e5cd75ee5922b8a0d432018a", "title": "A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00615.pdf"], "doi": []}, {"id": "2a5667702b0f1ff77dde8fb3e2e10d4e05e8de9d", "title": "Scene Parsing through ADE20K Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Scene_Parsing_Through_CVPR_2017_paper.pdf", "http://people.csail.mit.edu/bzhou/publication/scene-parse-camera-ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100027", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.544", "http://doi.org/10.1109/CVPR.2017.544"]}, {"id": "10bb4ef7a6719ea132e00f0ab5680919a4131d99", "title": "BAM: Bottleneck Attention Module", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.06514.pdf"], "doi": []}, {"id": "a6e695ddd07aad719001c0fc1129328452385949", "title": "The New Data and New Challenges in Multimedia Research", "year": "2015", "pdf": [], "doi": []}, {"id": "f795b4ff67d3ecce0b988ecfc0589cc7e54f5dfa", "title": "Grounded Human-Object Interaction Hotspots from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04558.pdf"], "doi": []}, {"id": "30f78071ac2bc965ffbf452a7b315d6dfddae30e", "title": "Lingusitic Analysis of Multi-Modal Recurrent Neural Networks", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/30f7/8071ac2bc965ffbf452a7b315d6dfddae30e.pdf"], "doi": []}, {"id": "10554295addeae86571a26de6c2ad7e274963953", "title": "Re-ranking Object Proposals for Object Detection in Automatic Driving", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05904.pdf"], "doi": []}, {"id": "af95ba2c08cf3317291dad554488dd951cd6ff80", "title": "Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04002.pdf"], "doi": []}, {"id": "c4cca330ec7289fac16d0793da98f705f6513219", "title": "Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "22a8b7ca2e6449cad31ae4f71bb3587751087e77", "title": "DeepBox: Learning Objectness with Convolutional Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410642"]}, {"id": "0dcc768631d9ede8a3679e980b37204b782781b2", "title": "Stating the Obvious: Extracting Visual Common Sense Knowledge", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/55b9/251541eb09a6be4a317d4db1bc8d5dba07f7.pdf"], "doi": []}, {"id": "c1e714a9ec329629798a88ebff8657c349fec739", "title": "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", "year": "2017", "pdf": ["http://cedric.cnam.fr/~thomen/papers/Durand_CVPR_2017.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Durand_WILDCAT_Weakly_Supervised_CVPR_2017_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Durand_WILDCAT_Weakly_Supervised_2017_CVPR_supplemental.pdf", "http://webia.lip6.fr/~durandt/pdfs/2017_CVPR/Durand_WILDCAT_CVPR_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100114", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.631", "http://doi.org/10.1109/CVPR.2017.631"]}, {"id": "01959ef569f74c286956024866c1d107099199f7", "title": "VQA: Visual Question Answering", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410636"]}, {"id": "5c8ad080ccb3f5e3c999c2948029f0bd005d5635", "title": "Engaging Image Captioning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5c8a/d080ccb3f5e3c999c2948029f0bd005d5635.pdf"], "doi": []}, {"id": "284be8be0c6bedc36dfe43229bc84345ab0aedc2", "title": "Faster Training of Mask R-CNN by Focusing on Instance Boundaries", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07069.pdf"], "doi": []}, {"id": "b6b9d29d25de42d78f09217c9cc457247d90fc70", "title": "Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11823.pdf"], "doi": []}, {"id": "2198a3d3342442d6ed6608f2e2b0687f644b67d6", "title": "Dynamic High Resolution Deformable Articulated Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07999.pdf"], "doi": []}, {"id": "340e55a44793226a51ad06612f340f2c520e3575", "title": "G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_G2DeNet_Global_Gaussian_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100172", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.689", "http://doi.org/10.1109/CVPR.2017.689"]}, {"id": "833ada09759039b7c620b8930a50a0521d70b2c7", "title": "Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09960.pdf"], "doi": []}, {"id": "fbb9cdd699baf86e9d616b259ada02449c2322ca", "title": "Active Testing: An Efficient and Robust Framework for Estimating Accuracy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00493.pdf"], "doi": []}, {"id": "f1d8c377093ecf64afd7f17383738e81666fe5ae", "title": "Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10805.pdf"], "doi": []}, {"id": "858a2e0ca7ba129fda1a92959abe8770eb303bbe", "title": "Input Features Output Features Input Features Output Features Input Features Output Features Selected and", "year": "2017", "pdf": [], "doi": []}, {"id": "f5ce3c9eb539d2f4a85880db65ba3890a0fd8c6c", "title": "Zero-shot object prediction and context modeling using semantic scene knowledge", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f5ce/3c9eb539d2f4a85880db65ba3890a0fd8c6c.pdf"], "doi": []}, {"id": "9634348d3bc7b86d0b644f6c14ab0c4294341905", "title": "Investigating Redundancy in Emoji Use: Study on a Twitter Based Corpus", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9634/348d3bc7b86d0b644f6c14ab0c4294341905.pdf"], "doi": []}, {"id": "068171535ac18a4b7b65be0748d483ce4c71a9a4", "title": "Event Specific Multimodal Pattern Mining with Image-Caption Pairs", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.00022.pdf"], "doi": []}, {"id": "346a877564351e4014441a1dc174b0369a759ba5", "title": "CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Kozerawski_CLEAR_Cumulative_LEARning_CVPR_2018_paper.pdf", "http://www-inst.cs.berkeley.edu/~ee290t/fa18/readings/Kozerawski_CLEAR_Cumulative_LEARning_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578461", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00363", "http://doi.org/10.1109/CVPR.2018.00363"]}, {"id": "2b45c35aa63180ef83e7f8e6f55405db9c688b0e", "title": "Unsupervised Domain Adaptation with Similarity Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578933"]}, {"id": "a8420e7fa53b81b8069ced8d9c743c141e2fc432", "title": "Real-Time Multiple Object Tracking - A Study on the Importance of Speed", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03572.pdf"], "doi": []}, {"id": "ea743597a5f48babef1982259566d76a9bf66bf2", "title": "Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/CameraReady/1276.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Ding_Context_Contrasted_Feature_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578352", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00254", "http://doi.org/10.1109/CVPR.2018.00254"]}, {"id": "2770af2c74f9b82f2167cf5773ccc94d482ac8d4", "title": "Gossip training for deep learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.09726.pdf"], "doi": []}, {"id": "ff5869f420d33511c22e60bbcff072c3cde3ebc4", "title": "Regional Interactive Image Segmentation Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liew_Regional_Interactive_Image_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237559", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.297", "http://doi.org/10.1109/ICCV.2017.297"]}, {"id": "3aa66f2829ef440842c71a52cdaff30398a90ccb", "title": "Pointly-Supervised Action Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11333.pdf"], "doi": []}, {"id": "15a148957469bc8b91bd7cc31aa1f0c6584a1571", "title": "DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575485"]}, {"id": "ccba451687f83c463deeefb69c1f4a781de2d638", "title": "Full-Network Embedding in a Multimodal Embedding Pipeline", "year": "2017", "pdf": [], "doi": []}, {"id": "0219ced7a3afcd8e7584b24809bac30304f9288e", "title": "L ] 3 1 M ay 2 01 7 Adversarial Ranking for Language Generation", "year": "2017", "pdf": [], "doi": []}, {"id": "59f4df3087c22e0e13574bb7d20e9d41e74cb9a5", "title": "Visual Re-ranking with Natural Language Understanding for Text Spotting", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12738.pdf"], "doi": []}, {"id": "3fb61e0d133d0971c853b8435fea99150e15cdbb", "title": "Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.00366.pdf"], "doi": []}, {"id": "cb8f1f77a8b19d99dfe0c7b50dae3978cf646aa9", "title": "Adaptive attention fusion network for visual question answering", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019540", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019540", "http://doi.org/10.1109/ICME.2017.8019540"]}, {"id": "4f6d8d4d460517297b419242a7e9ab3f9a307a72", "title": "Feature Extraction for Image Selection Using Machine Learning", "year": "2017", "pdf": [], "doi": []}, {"id": "0c36c988acc9ec239953ff1b3931799af388ef70", "title": "Face Detection Using Improved Faster RCNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02142.pdf"], "doi": []}, {"id": "1baa9fdfb27f561be67c52ef55b0e3587f306cff", "title": "Image Captioning with Attention", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1baa/9fdfb27f561be67c52ef55b0e3587f306cff.pdf"], "doi": []}, {"id": "8b35c00edfa4edfd7a99d816e671023d2c000d55", "title": "AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578241"]}, {"id": "a0e03c5b647438299c79c71458e6b1776082a37b", "title": "Areas of Attention for Image Captioning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01033.pdf"], "doi": []}, {"id": "9976b88d15f89b6c82b16564735d489a7524821d", "title": "Learning Visual N-Grams from Web Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.09161.pdf"], "doi": []}, {"id": "0b938c4a993e7e2fda81426924cb91c108a7830c", "title": "Which Emoji Talks Best for My Picture?", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8609639"]}, {"id": "4041cf003f797007fe53ac89fd57072f97257abd", "title": "End-to-end policy learning for active visual categorization.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4041/cf003f797007fe53ac89fd57072f97257abd.pdf"], "doi": []}, {"id": "f741cba061655581f6fbb628613d0669c4bdecd5", "title": "Deep Cosine Metric Learning for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354191"]}, {"id": "c91e94e981084f5d9c3c1479fa90b8b091826d1d", "title": "Variational Bayesian Multiple Instance Learning with Gaussian Processes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099576"]}, {"id": "03c820f35afdc38dd05e4c663d2877e2602bcde0", "title": "Semantically Guided Visual Question Answering", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354309", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00205", "http://doi.org/10.1109/WACV.2018.00205"]}, {"id": "23a0cfaceb35413bd6caad437e37d566fcfdcc64", "title": "MindCamera: Interactive Sketch-Based Image Retrieval and Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267031"]}, {"id": "9d5a5517650d5f9a7d9818bcc1eb59ba65d316e1", "title": "Conditional Generative Adversarial Network for Structured Domain Adaptation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Hong_Conditional_Generative_Adversarial_CVPR_2018_paper.pdf", "https://weixianghong.github.io/publications/papers/CVPR_18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578243", "http://doi.org/10.1109/cvpr.2018.00145"]}, {"id": "f87aa7d7b746e24e3b08fd3375331068ecd13311", "title": "Mask-SLAM: Robust Feature-Based Monocular SLAM by Masking Using Semantic Segmentation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575524"]}, {"id": "3bb0ab7ebe1ffb83aa9775ffe2602407c9d6329d", "title": "Active Decision Boundary Annotation with Deep Generative Models", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237827"]}, {"id": "93adca9ce6f4a0fab9ea027c90b4df828cfa10d7", "title": "Learning Actionable Representations from Visual Observations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8593951"]}, {"id": "6962505b78d0cec04b992a059cc58870c361c971", "title": "Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.00218.pdf"], "doi": []}, {"id": "747e9b36c5a1b0b8a9572da0ab416ddd1e1d2d33", "title": "Augmentation for Visual Question Answering", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/747e/9b36c5a1b0b8a9572da0ab416ddd1e1d2d33.pdf"], "doi": []}, {"id": "85473d7bd0b73488f22d8443583165fdbd3d221d", "title": "Product Quantized Translation for Fast Nearest Neighbor Search", "year": "2018", "pdf": [], "doi": ["https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16953", "https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16953/16702"]}, {"id": "86d9f836c5fc542e987601a102c2b6cdbca1d64f", "title": "Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780602"]}, {"id": "c719a941d3ab00e45d1d74e7533ed59cc0740ae2", "title": "Does Optical Character Recognition and Caption Generation Improve Emotion Detection in Microblog Posts?", "year": "2017", "pdf": ["http://www.romanklinger.de/publications/klinger2017-nldb.pdf", "http://www.romanklinger.de/talks/nldb.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-59569-6_39"]}, {"id": "4f618cbf19917ce5b8703adbc14e15b0bf0d35cc", "title": "Multi-View Dynamic Facial Action Unit Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07863.pdf"], "doi": []}, {"id": "1f2b28dc48c8f2c0349dce728d7b6a0681f58aea", "title": "A Dataset for Lane Instance Segmentation in Urban Environments", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01347.pdf"], "doi": []}, {"id": "7d6132a884d2b154059c461e107c7a8c41603ef7", "title": "Exploring Multi-Branch and High-Level Semantic Networks for Improving Pedestrian Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00872.pdf"], "doi": []}, {"id": "8e06f628d0566e31366cf046b4a83ac4724ea7c3", "title": "Categorizing Concepts with Basic Level for Vision-to-Language", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Categorizing_Concepts_With_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578619", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00521", "http://doi.org/10.1109/CVPR.2018.00521"]}, {"id": "72048081cfe678f700c52e1c7a56713a8e0865b6", "title": "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02074.pdf"], "doi": []}, {"id": "974aa04b051bd2493bf4aaa5cd410dcb8f3b264d", "title": "Red Hen Lab: Dataset and Tools for Multimodal Human Communication Research", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s13218-017-0505-9"]}, {"id": "13ad6164dba75845f0f397e9314ad596e74eb946", "title": "Learning to Estimate 3D Human Pose and Shape from a Single Color Image", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578153"]}, {"id": "91e89cedd4093bfe176532530ddb960f2767aca5", "title": "Cross-Domain Self-Supervised Multi-task Feature Learning Using Synthetic Imagery", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578184"]}, {"id": "f28e2bb46e49799589787e466c3ca966a0897bf7", "title": "Textually Customized Video Summaries", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01528.pdf"], "doi": []}, {"id": "bcb35a8eb4cea46755c7430618e4ecfa4647b360", "title": "Deep Joint Semantic-Embedding Hashing", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bcb3/5a8eb4cea46755c7430618e4ecfa4647b360.pdf"], "doi": []}, {"id": "4b59e1fbcd68d616c9e5d02a62d332b0b2c268c5", "title": "Training Recurrent Neural Network through Moment Matching for NLP Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4b59/e1fbcd68d616c9e5d02a62d332b0b2c268c5.pdf"], "doi": []}, {"id": "b8ccc5341a1b0214e9d155b019962023f344c2ee", "title": "Incremental Learning of Object Detectors without Catastrophic Forgetting", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06977.pdf"], "doi": []}, {"id": "45dd2a3cd7c27f2e9509b023d702408f5ac11c9d", "title": "Stacked Cross Attention for Image-Text Matching", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08024.pdf"], "doi": []}, {"id": "02a4e2569b8033eff87099ad402f251d02213cfe", "title": "Learning-Based Cloth Material Recovery from Video", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237732"]}, {"id": "ff23167f18723faf41265cd36ee2cf1de45a3048", "title": "Straight to Shapes: Real-Time Detection of Encoded Shapes", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099931"]}, {"id": "47b4c33621bc0e636d6c268ad6acb319e12abbee", "title": "StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.10916.pdf"], "doi": []}, {"id": "26d27a6de0360ed690248a9dd08e4ec0818472b0", "title": "DehazeGAN: When Image Dehazing Meets Differential Programming", "year": "2018", "pdf": ["http://www.pengxi.me/wp-content/uploads/Papers/2018-IJCAI-DehazeGAN.pdf"], "doi": ["https://doi.org/10.24963/ijcai.2018%2F172", "https://doi.org/10.24963/ijcai.2018/172"]}, {"id": "2284ba28bd3b1afaf06afb8c2a94638e350b3ecb", "title": "Boosting Object Proposals: From Pascal to COCO", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01226.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410538", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.181", "http://doi.org/10.1109/ICCV.2015.181"]}, {"id": "21d7130230162af2a4cc1b9375bfe9b37dbbd499", "title": "Origami: A 803-GOp/s/W Convolutional Network Accelerator", "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.04295.pdf"], "doi": []}, {"id": "efbac99adf8628aae7f070e5b4388a295956f9d2", "title": "CondenseNet: An Efficient DenseNet Using Learned Group Convolutions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578389"]}, {"id": "015d25f66514ce0a966300944201d45968a104ba", "title": "SIMPLE IMAGE DESCRIPTION GENERATOR VIA A LINEAR PHRASE-BASED MODEL R\u00e9mi Lebret", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/015d/25f66514ce0a966300944201d45968a104ba.pdf"], "doi": []}, {"id": "47f8a217de3df8d70c3ac7fac73696a9104b1294", "title": "Weakly-supervised image captioning based on rich contextual information", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-017-5236-2"]}, {"id": "1fefc1d288a87fe218ba25024c4b2b6ef345738e", "title": "Self-ensembling for domain adaptation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1fef/c1d288a87fe218ba25024c4b2b6ef345738e.pdf"], "doi": []}, {"id": "688cb9fd33769b152806c04ef6fc276629a9f300", "title": "LocNet: Improving Localization Accuracy for Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.07763.pdf"], "doi": []}, {"id": "c96f012f4915398259e7e223810c57898b5e1a76", "title": "Fast LIDAR-based Road Detection Using Convolutional Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c96f/012f4915398259e7e223810c57898b5e1a76.pdf"], "doi": []}, {"id": "c562e95b7906066be4210d00c4f6187475e6e13a", "title": "Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.10535.pdf"], "doi": []}, {"id": "a24a0126f76ba1423ac3548ef95aa24ac4e670dd", "title": "How Would You Say It ? Eliciting Lexically Diverse Data for Supervised Semantic Parsing", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3870/0128bc3ce57a04c46458c3898eaaa1166508.pdf"], "doi": []}, {"id": "99975f84728140154a35b0763753b35bc44e1d5a", "title": "Video Description: A Survey of Methods, Datasets and Evaluation Metrics", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00186.pdf"], "doi": []}, {"id": "a6a6cfae45e8633c01793debf43592b7d515f65d", "title": "From ImageNet to Mining: Adapting Visual Object Detection with Minimal Supervision", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a6a6/cfae45e8633c01793debf43592b7d515f65d.pdf"], "doi": []}, {"id": "acf13c52c86a3b38642ba0c6cbcd1b771778965c", "title": "NAACL HLT 2018 Generalization in the Age of Deep Learning Proceedings of the Workshop", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e255/eb6d8e46275387f71986a26d81fd746e0147.pdf"], "doi": []}, {"id": "fd716faea00fb6ec433a62c79aced17d51de8d23", "title": "Cascaded Contextual Region-based Convolutional Neural Network for Event Detection from Time Series Signals: A Seismic Application", "year": "2017", "pdf": [], "doi": []}, {"id": "64bff565c83c6ce3fac783d8d67191af99803701", "title": "Learning to Co-Generate Object Proposals with a Deep Structured Network", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/217984/files/HayderHeSalzmannCVPR16.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.281", "http://doi.org/10.1109/CVPR.2016.281"]}, {"id": "1779b6a17ee68afafb6801477b165f19901689b2", "title": "Object Contour Detection with a Fully Convolutional Encoder-Decoder Network", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780397"]}, {"id": "5ac18d505ed6d10e8692cbb7d33f6852e6782692", "title": "The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00982.pdf"], "doi": []}, {"id": "f2b95f135b95c3df4f6ebe6015098a2e1667711d", "title": "Weakly Supervised Object Localization Using Things and Stuff Transfer", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08000.pdf"], "doi": []}, {"id": "e2c122bea06dfa067712cdb58ce474144f93af07", "title": "Phrase-based Image Captioning with Hierarchical LSTM Model", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05557.pdf"], "doi": []}, {"id": "acd26d5b85e979d73101ac790bfdedf17bfe8ed1", "title": "Learning from PhotoShop Operation Videos : the PSOV Dataset", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/acd2/6d5b85e979d73101ac790bfdedf17bfe8ed1.pdf"], "doi": []}, {"id": "0e0900b88c33b671be5dd2ded9885b6526d6b429", "title": "From captions to visual concepts and back", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4952.pdf"], "doi": []}, {"id": "3e08a3912ebe494242f6bcd772929cc65307129c", "title": "Few-Shot Image Recognition by Predicting Parameters from Activations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578853"]}, {"id": "47a2b1ba7e4275174a017a290f2e5de7de0acb00", "title": "Semantically Coherent Co-Segmentation and Reconstruction of Dynamic Scenes", "year": "2017", "pdf": ["http://epubs.surrey.ac.uk/813877/1/cvprFinalOpenAccess.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Mustafa_Semantically_Coherent_Co-Segmentation_CVPR_2017_paper.pdf", "https://arminmustafa.github.io/docs/cvpr17/ArminCVPR2017.pdf", "https://arminmustafa.github.io/docs/cvpr17/ppt.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100075", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.592", "http://doi.org/10.1109/CVPR.2017.592"]}, {"id": "6c0c368fca391b4456e64d2943d0bcbe6d8e1ecc", "title": "A Pipeline for Creative Visual Storytelling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08077.pdf"], "doi": []}, {"id": "dc7a4d5ba20ca07d29c360b26e1e72afae9a77be", "title": "The ApolloScape Open Dataset for Autonomous Driving and its Application", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06184.pdf"], "doi": []}, {"id": "9120d59f2ca86954b45d254cae1409cb0806d9c7", "title": "DenseFuse: A Fusion Approach to Infrared and Visible Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08361.pdf"], "doi": []}, {"id": "aa74e63360c341f47a921e0043c5d58d55807fe4", "title": "Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.05672.pdf"], "doi": []}, {"id": "ecbaa92c289f4f5ff9a57b19a2725036a92311f5", "title": "Focused Evaluation for Image Description with Binary Forced-Choice Tasks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ecba/a92c289f4f5ff9a57b19a2725036a92311f5.pdf"], "doi": []}, {"id": "b3eb61c3542e0c6bafb4c1acd05cffc0970faa85", "title": "Region-Based Image Retrieval Revisited", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09106.pdf"], "doi": []}, {"id": "904b322a61d9be9c0b1023946320f9245533085e", "title": "Multi-Residual Networks", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/95cd/6df1b921859103f2eea702e8d3622a862a08.pdf"], "doi": []}, {"id": "62a5f2a142fe636632f6467176ab18bb86e6398e", "title": "Pixelated Semantic Colorization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10889.pdf"], "doi": []}, {"id": "a0e286f3c6a72c857ffd03bd8ab9a9f9b98c4432", "title": "AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04452.pdf"], "doi": []}, {"id": "333be4858994e6d9364341aeb520f7800a0f6a07", "title": "Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05424.pdf"], "doi": []}, {"id": "23ef40af4fda9c7db8fd7596d34446303c378793", "title": "Towards a Generalized Approach for Deep Neural Network Based Event Processing for the Internet of Multimedia Things", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331844", "http://doi.org/10.1109/ACCESS.2018.2823590"]}, {"id": "b0760764dc573b519f76d5a79531d49af333c67a", "title": "Neural Style Transfer: A Review", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04058.pdf"], "doi": []}, {"id": "5fa587381a9e4308163b3a5395985f0375c3cf7d", "title": "Deep Extreme Cut: From Extreme Points to Object Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09081.pdf"], "doi": []}, {"id": "2f005b31b41face8a8b157e2ce7f97ece5b61391", "title": "L 1 Graph Based Sparse Model for Label Denoising", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2f00/5b31b41face8a8b157e2ce7f97ece5b61391.pdf"], "doi": []}, {"id": "ede3af38e30ca332af0c1ce3bd5144070f7fb7f3", "title": "SGN: Sequential Grouping Networks for Instance Segmentation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_SGN_Sequential_Grouping_ICCV_2017_paper.pdf", "http://www.cs.toronto.edu/~fidler/papers/sgn_iccv17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237640", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.378", "http://doi.org/10.1109/ICCV.2017.378"]}, {"id": "284af686292a6119129b410413831f8d2363fcc6", "title": "Learning Representation for Scene Understanding: Epitomes, CRFs, and CNNs", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/284a/f686292a6119129b410413831f8d2363fcc6.pdf"], "doi": []}, {"id": "73f1a3d88defbd5481214e27da7df501d0e31fb1", "title": "Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.01703.pdf"], "doi": []}, {"id": "2eef20a11324686099ee6f9b1a7613444b0d2112", "title": "Dual-Path Convolutional Image-Text Embedding with Instance Loss", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05535.pdf"], "doi": []}, {"id": "f9255703f0a89c9ca2e9256595a0526829ff4402", "title": "On the Importance of Visual Context for Data Augmentation in Scene Understanding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02492.pdf"], "doi": []}, {"id": "e8e43abbc8bee64a53af64ceca90bfb687f7bb9d", "title": "Fast Object Class Labelling via Speech", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09461.pdf"], "doi": []}, {"id": "3f775e3be9e1a00ebf4fd281e524932e88cec0ae", "title": "Deep Contextual Recurrent Residual Networks for Scene Labeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.03594.pdf"], "doi": []}, {"id": "c5b9a96fcb07f538be3181922e5f1a24a7936783", "title": "Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09563.pdf"], "doi": []}, {"id": "d5673c53b3643372dd8d35136769ecd73a6dede3", "title": "A Deep Learning Framework for Smart Street Cleaning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944927", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.49", "http://doi.org/10.1109/BigDataService.2017.49"]}, {"id": "456983805a8781d6429bed1ed66dc9f3902767af", "title": "Seeing with Humans : Gaze-Assisted Neural Image", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4569/83805a8781d6429bed1ed66dc9f3902767af.pdf"], "doi": []}, {"id": "a759570e6ef674cd93068020c2e6bd036961f7c6", "title": "SPEECH-COCO: 600k Visually Grounded Spoken Captions Aligned to MSCOCO Data Set", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.08435.pdf"], "doi": []}, {"id": "e7b92fc6e2f1a13a3076a48a78e03badacb0465b", "title": "Deep Cauchy Hashing for Hamming Space Retrieval", "year": "2018", "pdf": ["http://ise.thss.tsinghua.edu.cn/~mlong/doc/deep-cauchy-hashing-cvpr18.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Deep_Cauchy_Hashing_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578232", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00134", "http://doi.org/10.1109/CVPR.2018.00134"]}, {"id": "7892606127c94d0be5c9bea5b6cb539f7fe3bf39", "title": "Combining Multiple Cues for Visual Madlibs Question Answering", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1096-0"]}, {"id": "e42b2981f4e8de54213d624d1ef12bad4fe02f0a", "title": "Through-Wall Human Pose Estimation Using Radio Signals", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578866"]}, {"id": "c896502edcdec38466e7d66f38fb53a57c8e05db", "title": "Image Companding and Inverse Halftoning using Deep Convolutional Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00116.pdf"], "doi": []}, {"id": "30a68bea6a43c239d899d7f02bb8ef9f3c5a8f47", "title": "Cross-Media Similarity Evaluation for Web Image Retrieval in the Wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01305.pdf"], "doi": []}, {"id": "fdce9cbe5c726201575b3c8a8c1af0752f1af53f", "title": "MAttNet: Modular Attention Network for Referring Expression Comprehension", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578240"]}, {"id": "91bb3680cee8cd37b80e07644f66f9cccf1b1aff", "title": "PASCAL Boundaries: A Semantic Boundary Dataset with a Deep Semantic Boundary Detector", "year": "2017", "pdf": ["http://www.cs.jhu.edu/~alanlab/Pubs17/premachandran2017pascalboundaries.pdf", "https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926599.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926599", "http://doi.org/10.1109/WACV.2017.16"]}, {"id": "09b2e7af73689dbdba1547e19111a6ee06767906", "title": "PoseTrack: A Benchmark for Human Pose Estimation and Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578640"]}, {"id": "38e3c26829e38c6b56f7c541e0c4445820fab0fe", "title": "BOLD5000: A public fMRI dataset of 5000 images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01281.pdf"], "doi": []}, {"id": "57bfbd06e94c5def35c1dde901bb4f1c839dbcdf", "title": "Deep patch learning for weakly supervised object classification and discovery", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02429.pdf"], "doi": []}, {"id": "165ef2b5f86b9b2c68b652391db5ece8c5a0bc7e", "title": "Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780717"]}, {"id": "944faf7f14f1bead911aeec30cc80c861442b610", "title": "Action Tubelet Detector for Spatio-Temporal Action Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01861.pdf"], "doi": []}, {"id": "729a30040132909cda0eab2c6c4ba60d6d1941b5", "title": "Image-based Plant Species Identification with Deep Convolutional Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/729a/30040132909cda0eab2c6c4ba60d6d1941b5.pdf"], "doi": []}, {"id": "28af8e1a3cb3a158f8a642c8493fcfb207743d0a", "title": "Better Image Segmentation by Exploiting Dense Semantic Predictions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01481.pdf"], "doi": []}, {"id": "139ab79a0aae5d4346f907b7b29288d09ef373fa", "title": "A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08412.pdf"], "doi": []}, {"id": "24aee34d1fb3cf5b1cddc2c6ef9259506be4e9c0", "title": "Visual Context Learning with Big Data Analytics", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7836722", "http://doi.org/10.1109/ICDMW.2016.0091"]}, {"id": "9b18cc5c938062161a4b6b0c71ee7a6c550a15f7", "title": "A Scalable Optimization Mechanism for Pairwise based Discrete Hashing.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10810.pdf"], "doi": []}, {"id": "ad9b3dc6c0e54070cec79df86458ed38566da1ff", "title": "Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01393.pdf"], "doi": []}, {"id": "2a74b00daa80e64cde5256bc014d1b011926b97b", "title": "Shake-Shake regularization", "year": "2017", "pdf": [], "doi": []}, {"id": "40c1aec7e0830bf9dd8a689d671024567311ae72", "title": "Interact as You Intend: Intention-Driven Human-Object Interaction Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09796.pdf"], "doi": []}, {"id": "4d1e28368e1121872bcd4ce75bc7ba5e43bd42d0", "title": "Attend to You: Personalized Image Captioning with Context Sequence Memory Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06485.pdf"], "doi": []}, {"id": "b6f682648418422e992e3ef78a6965773550d36b", "title": "CBMM Memo No . 061 February 8 , 2017 Full interpretation of minimal images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b6f6/82648418422e992e3ef78a6965773550d36b.pdf"], "doi": []}, {"id": "2595319371a06449e3f8cef251303aecbb9e731e", "title": "A Review on Object Recognition for Blind People Based on Deep Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2595/319371a06449e3f8cef251303aecbb9e731e.pdf"], "doi": []}, {"id": "e7df750805d6c025d0a1a74a05a83bcf8cc63dd7", "title": "Assessment of crowdsourcing and gamification loss in user-assisted object segmentation", "year": "2015", "pdf": ["http://upcommons.upc.edu/bitstream/handle/2117/81293/asknseek.pdf;jsessionid=469B72384B7C56D4A331D68A53942294?sequence=1"], "doi": ["https://doi.org/10.1007/s11042-015-2897-6"]}, {"id": "abd4152773ebb97b90163b9a6bbdf2075e825481", "title": "Procedural Text Generation from an Execution Video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/abd4/152773ebb97b90163b9a6bbdf2075e825481.pdf"], "doi": []}, {"id": "72f8df596eb9bb3a8c8206329083c42e70fcd9fd", "title": "Will People Like Your Image?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05203.pdf"], "doi": []}, {"id": "9684a54d9ff94855a40a2dc3eeb1ff16b44795fe", "title": "Human, Object and Scene Centric Image Retrieval Engine to Enhance Image Management", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8261019"]}, {"id": "b3b85d0a697c9b0309965151dcc396eb70adf46e", "title": "Shallowing Deep Networks: Layer-wise Pruning based on Feature Representations.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30296213", "http://doi.org/10.1109/TPAMI.2018.2874634"]}, {"id": "5925a25dfe107c49c636eccb8f9fd1aeef7b438c", "title": "Temporal Shift Module for Efficient Video Understanding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08383.pdf"], "doi": []}, {"id": "821ba3eba1e36a29cc482f5378f4a0d0f6893159", "title": "Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07926.pdf"], "doi": []}, {"id": "1ca06a9c5e80bc0d4011f0d6f6ccc1a5ee746844", "title": "Automatic Image Cropping: A Computational Complexity Study", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_Automatic_Image_Cropping_CVPR_2016_paper.pdf", "http://pages.cs.wisc.edu/~liangz/12_Chen_Automatic_Image_Cropping_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780430", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.61", "http://doi.org/10.1109/CVPR.2016.61"]}, {"id": "64a336f952ec67f85fe00092847d50dd29e4cddc", "title": "Fast Screening Algorithm for Template Matching FAST SCREENING ALGORITHM FOR TEMPLATE MATCHING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/64a3/36f952ec67f85fe00092847d50dd29e4cddc.pdf"], "doi": []}, {"id": "cd8398e82e0c0cc4276a1694fd333214ede337ea", "title": "Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02563.pdf"], "doi": []}, {"id": "8e416d760feb5f23bc1a6dab98eb1f6e75ab8907", "title": "Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08251.pdf"], "doi": []}, {"id": "f7186eb3d717694d4ab1730a8d0f662e90c44d6f", "title": "A Computational Study on Word Meanings and Their Distributed Representations via Polymodal Embedding", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f718/6eb3d717694d4ab1730a8d0f662e90c44d6f.pdf"], "doi": []}, {"id": "35c5b84fa47e5b6cee201f831507f62482ccebcc", "title": "CUNI System for the WMT 17 Multimodal Traslation Task", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/35c5/b84fa47e5b6cee201f831507f62482ccebcc.pdf"], "doi": []}, {"id": "b63041d05b78a66724fbcb2803508999bf885d6b", "title": "Deep Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06114.pdf"], "doi": []}, {"id": "d318f3ca49f7f2159b9fc0face08eb284d5442dc", "title": "Scene Text Detection via Holistic, Multi-Channel Prediction", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.09002.pdf"], "doi": []}, {"id": "f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6", "title": "Rapid Object Detection Systems , Utilising Deep Learning and Unmanned Aerial Systems ( Uas ) for Civil Engineering Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f81f/5da2a1e4eb80b465b8dffca4c9e583a8a8a6.pdf"], "doi": []}, {"id": "45e2aa7706fcedcbb2d93304a9824fe762b8b3b0", "title": "DAC-SDC Low Power Object Detection Challenge for UAV Applications", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00110.pdf"], "doi": []}, {"id": "8f45907fba8fce5e9d958cf66cb68b406858fbb6", "title": "Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05477.pdf"], "doi": []}, {"id": "f672bf42dbefb6b40921c00a05f60284934e9948", "title": "LDS-Inspired Residual Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f672/bf42dbefb6b40921c00a05f60284934e9948.pdf"], "doi": []}, {"id": "c0343f9cc5f16166bda83815812c4c71ab3258e3", "title": "Hierarchical LSTMs with Adaptive Attention for Visual Captioning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.11004.pdf"], "doi": []}, {"id": "e075c5ef9d7d4ef77c92008ffaa7ac12e60383c1", "title": "Fusing Saliency Maps with Region Proposals for Unsupervised Object Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03905.pdf"], "doi": []}, {"id": "fb6bcf5763fe7ec7366f5991400090fa503613a7", "title": "Reduce Cognitive Burden on Drivers through Contextualising Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8417781", "http://doi.org/10.1109/VTCSpring.2018.8417781"]}, {"id": "a133374b9630bbe6eb2b7de8c3204aa57e75c582", "title": "A Deep Network Solution for Attention and Aesthetics Aware Photo Cropping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a133/374b9630bbe6eb2b7de8c3204aa57e75c582.pdf"], "doi": []}, {"id": "ccbd7e417158e7ae0f9f61c3b6d1e5a3317cce34", "title": "Object Proposals in Computer Vision", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7fb4/19f28652e4d1b1ddab1a19bdc5be1c7bbb62.pdf"], "doi": []}, {"id": "aa09ade36424fd83f067f234baffde294800e705", "title": "Is a Picture Worth Ten Thousand Words in a Review Dataset?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.07496.pdf"], "doi": []}, {"id": "30ccfd2b4b6d5b30581356ccefcf96fd77c1766a", "title": "Overview of the ImageCLEF 2014 Scalable Concept Image Annotation Task", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a346/060e3b71a0553eaa4bc28fbc0114b1798fec.pdf"], "doi": []}, {"id": "a25c32ea0292af5eacd6e9e0ed53b9ff7e65433f", "title": "Learning to Learn from Web Data Through Deep Semantic Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06368.pdf"], "doi": []}, {"id": "247b14570940601f5c7a2da1db532ecf1c302288", "title": "Dual Attention Networks for Multimodal Reasoning and Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00471.pdf"], "doi": []}, {"id": "bb021f58f8822d12f5747d583a46005ade4a0b10", "title": "Breaking Microsoft \u2019 s CAPTCHA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bb02/1f58f8822d12f5747d583a46005ade4a0b10.pdf"], "doi": []}, {"id": "a7066c13ba21817abcf8ff955740493adf95b02c", "title": "Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09280.pdf"], "doi": []}, {"id": "c06447df3e50ec451240205cefa0708caee8ab8c", "title": "Picture it in your mind: generating high level visual representations from textual descriptions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.07287.pdf"], "doi": []}, {"id": "4ecaa651722a98c2847377f3ae1c70294b4791ce", "title": "Few-Example Object Detection with Model Communication.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.08249.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "28b72ad9229f38ec61f950e1d794d6af070d1800", "title": "Zero-shot Object Prediction using Semantic Scene Knowledge", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.07952.pdf"], "doi": []}, {"id": "877c5a3ad915c2bbb5595252d08163f34ce58957", "title": "LCR-Net: Localization-Classification-Regression for Human Pose", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Rogez_LCR-Net_Localization-Classification-Regression_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099617", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.134", "http://doi.org/10.1109/CVPR.2017.134"]}, {"id": "e8e662e45e39249756d2b0090782434a5cf1f4aa", "title": "VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hou_VegFru_A_Domain-Specific_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Hou_VegFru_A_Domain-Specific_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237328", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.66", "http://doi.org/10.1109/ICCV.2017.66"]}, {"id": "1db6a35c42e86d5cd64ad2a4803fd683647fab96", "title": "Tiny Transform Net for Mobile Image Stylization", "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3079034"]}, {"id": "8efb48fdb8616da5133efb8659cd96c53529f76a", "title": "Active Vision Dataset Benchmark", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w40/Ammirato_Active_Vision_Dataset_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575447", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00277", "http://doi.org/10.1109/CVPRW.2018.00277"]}, {"id": "71afbb37a81a44299872bee9ae888f4129962e18", "title": "RECURRENT NEURAL FEEDBACK MODEL FOR AUTOMATED IMAGE ANNOTATION", "year": "2017", "pdf": [], "doi": []}, {"id": "9d8747468f0fed8e335656d7fe9737e4dc21c798", "title": "RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.03353.pdf"], "doi": []}, {"id": "9f545b9006970f7626b7b121c5c3c66204f1ba40", "title": "Improving Pairwise Ranking for Multi-label Image Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.03135.pdf"], "doi": []}, {"id": "2ba540ca70c7dee81e13768792aa7571952987f6", "title": "Drivable Road Detection Based on Dilated FPN with Feature Aggregation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8372075", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00172", "http://doi.org/10.1109/ICTAI.2017.00172"]}, {"id": "2e8b08c8df95d2ef8c0d03820094608e9cf456ab", "title": "License Plate Detection and Recognition in Unconstrained Scenarios", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2e8b/08c8df95d2ef8c0d03820094608e9cf456ab.pdf"], "doi": []}, {"id": "8331fb280f083767fe85ba476862e519e0275233", "title": "OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02611.pdf"], "doi": []}, {"id": "54e0b4f63e6ed966d76b6ef83488249fd09d3a43", "title": "Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099857"]}, {"id": "f11f609facfb650ed8e659236a04bc0a664cb665", "title": "An Analysis of Scale Invariance in Object Detection - SNIP", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578475"]}, {"id": "a8773da25b133d258132d646024bf5ffd5694302", "title": "A Bottom-Up Approach Based on Semantics for the Interpretation of the Main Camera Stream in Soccer Games", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575392"]}, {"id": "666e08b6921a28fed75f35dd70d322f0edc06e41", "title": "Rain Removal in Traffic Surveillance: Does it Matter?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12574.pdf"], "doi": []}, {"id": "1ac6a33f04f6c5a8084c15c85295f987cc8e3d72", "title": "FVQA: Fact-Based Visual Question Answering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.05433.pdf"], "doi": []}, {"id": "3ab5d67310aa3592b68e9ef55df4603507d0d486", "title": "Learning Spatial Transforms for Refining Object Segment Proposals", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926595.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926595", "http://doi.org/10.1109/WACV.2017.12"]}, {"id": "757b27a3ceb2293b8284fc24a7084a0c3fc2ae21", "title": "Data Distillation: Towards Omni-Supervised Learning", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578531"]}, {"id": "0d4dbd59e42e615ccf6cd4f71203be97afac48fb", "title": "End-to-End Joint Semantic Segmentation of Actors and Actions in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0d4d/bd59e42e615ccf6cd4f71203be97afac48fb.pdf"], "doi": []}, {"id": "81d327ec41c67728b15438bca86d10b72de1d88f", "title": "Visual Affordance and Function Understanding: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.06775.pdf"], "doi": []}, {"id": "df5094b2e8cf7e3bde3943ca7a56eb879b8e34ab", "title": "A Concatenated Residual Convolutional Network for Image Deblurring", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/df50/94b2e8cf7e3bde3943ca7a56eb879b8e34ab.pdf"], "doi": []}, {"id": "b8298cf0056af5afa3185181ddd5f6bb03181696", "title": "Training for Diversity in Image Paragraph Captioning", "year": "2018", "pdf": [], "doi": ["https://aclanthology.info/papers/D18-1084/d18-1084", "http://aclweb.org/anthology/D18-1084"]}, {"id": "7a9fe5781220cca6ca600833015f200a9c03d50e", "title": "Teaching Machines to Describe Images via Natural Language Feedback", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.00130.pdf"], "doi": []}, {"id": "08f46d6a91e513edd57a0ef15d5367b5d0545c1b", "title": "How do targets, nontargets, and scene context influence real-world object detection?", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/08f4/6d6a91e513edd57a0ef15d5367b5d0545c1b.pdf"], "doi": []}, {"id": "0612745dbd292fc0a548a16d39cd73e127faedde", "title": "Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04870.pdf"], "doi": []}, {"id": "4b4a174f46ce03caf1ffa4addd074aaa70539f35", "title": "BlazeIt: Fast Exploratory Video Queries using Neural Networks.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01046.pdf"], "doi": []}, {"id": "aa6f094f17d78380f927555a348ad514a505cc3b", "title": "SlowFast Networks for Video Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03982.pdf"], "doi": []}, {"id": "885d589101ab3c09bda20ee9578f2c6d2f6cddfa", "title": "Learning to Guide Decoding for Image Captioning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00887.pdf"], "doi": []}, {"id": "1553084dcbf2235428e7dbf57b57e567c5ea4d1f", "title": "AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.10583.pdf"], "doi": []}, {"id": "d7d2a1d42f0e3182d538cf8fb4d55f3e9d7ce779", "title": "Setting an attention region for convolutional neural networks using region selective features, for recognition of materials within glass vessels", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08711.pdf"], "doi": []}, {"id": "e56c99e8a94d3e585166fcd66f2ab6da60932f09", "title": "Semantic Speech Retrieval With a Visually Grounded Model of Untranscribed Speech", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.01949.pdf"], "doi": []}, {"id": "135c71101af5d030f8cf470c454e7b655d699920", "title": "Stacked Latent Attention for Multimodal Reasoning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Fan_Stacked_Latent_Attention_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578216", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00118", "http://doi.org/10.1109/CVPR.2018.00118"]}, {"id": "9d17e897e8344d1cf42a322359b48d1ff50b4aef", "title": "Learning to Fuse Things and Stuff", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01192.pdf"], "doi": []}, {"id": "185e7191dc5eca046d90205527da597b6ba9ae3c", "title": "Fast Self-Attentive Multimodal Retrieval", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354311", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00207", "http://doi.org/10.1109/WACV.2018.00207"]}, {"id": "6fdc0bc13f2517061eaa1364dcf853f36e1ea5ae", "title": "DAISEE: Dataset for Affective States in E-Learning Environments", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fdc/0bc13f2517061eaa1364dcf853f36e1ea5ae.pdf"], "doi": []}, {"id": "947c973846f2c5f8f42225c1108810bcdb4a7015", "title": "Grounded language understanding for manipulation instructions using GAN-based classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1801.05096.pdf"], "doi": []}, {"id": "d082f64b8a0a07d105207eb822be58ffb61b353a", "title": "EMOTIC: Emotions in Context Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w41/papers/Lapedriza_EMOTIC_Emotions_in_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015019", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.285", "http://doi.org/10.1109/CVPRW.2017.285"]}, {"id": "1e55e9c647832c969e449da28a391205a9704c60", "title": "Actor and Action Video Segmentation from a Sentence", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578722"]}, {"id": "b705ca751a947e3b761e2305b41891051525d9df", "title": "Exploring Context with Deep Structured Models for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.03183.pdf"], "doi": []}, {"id": "7c7af300c4780ad01e7db4d60fbf89771672585b", "title": "Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.02518.pdf"], "doi": []}, {"id": "f4c45108cb41051010d8a5175b8da23eb246c967", "title": "Improving Image Captioning by Leveraging Knowledge Graphs", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658870"]}, {"id": "2c28c95066b1df918f956f3cc072e29fd452dcad", "title": "Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.09696.pdf"], "doi": []}, {"id": "356ac139eb92753d710c1cd6bbb84403b8cd711b", "title": "A virtual reality platform for dynamic human-scene interaction", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2992144"]}, {"id": "d3a545bb8008a717ef95aa981295f38e6cee0d9d", "title": "Art painting detection and identification based on deep learning and image local features", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6387-5"]}, {"id": "3b1860cacfd59893bb0f7e131e982e9bbeb21e87", "title": "Defect Detection from UAV Images Based on Region-Based CNNs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8637492"]}, {"id": "bd4b5fcdf801b13d51083f3f7809366751c81c09", "title": "c-RNN: A Fine-Grained Language Model for Image Captioning", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-018-9836-2"]}, {"id": "3f10b9d98a276fb9e21e5742ce88bc7f48629715", "title": "Imparare a Quantificare Guardando (Learning to Quantify by Watching)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3f10/b9d98a276fb9e21e5742ce88bc7f48629715.pdf"], "doi": []}, {"id": "bb60196acdd4b0870cd0dd7f5a7c712aa042b1d1", "title": "A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.00799.pdf"], "doi": []}, {"id": "afc4cc092f990644ff7a11dc7ab60519920cbc9d", "title": "Learning Rich Features for Image Manipulation Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578214"]}, {"id": "09222c50d8ffcc74bbb7462400bd021772850bba", "title": "Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.02189.pdf"], "doi": []}, {"id": "7d39d69b23424446f0400ef603b2e3e22d0309d6", "title": "YOLO9000: Better, Faster, Stronger", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08242.pdf"], "doi": []}, {"id": "bc6a01ea112d45bdded0bb2d34a4782e4f6f16be", "title": "Real-world Multi-object, Multi-grasp Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00520.pdf"], "doi": []}, {"id": "bbe3d39adcb41ad2824204c0b0d299d77c2d8363", "title": "SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579079"]}, {"id": "d7443ed614548498a390aa1b83c74069aa923074", "title": "Dataless Black-Box Model Comparison", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1134/S1054661818040272"]}, {"id": "b20dc4906fc021aaf8353df98f8828d99f951c3c", "title": "Good View Hunting: Learning Photo Composition from Dense View Pairs", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578668"]}, {"id": "f42099bcd6cd13146d96d1ed15353a4ebc1f4d9a", "title": "Single-Shot Refinement Neural Network for Object Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578540"]}, {"id": "d05825a394f11a391c8815f6b0d394cdb4cfaa95", "title": "I2T2I: Learning text to image synthesis with textual data augmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06676.pdf"], "doi": []}, {"id": "7985ac55e170273dd0ffa6bd756e588bab301d57", "title": "Mind's eye: A recurrent visual representation for image caption generation", "year": "2015", "pdf": ["http://www.cs.cmu.edu/~xinleic/docs/rvr/RVR-1.pdf", "http://www.cs.cmu.edu/~xinleic/papers/cvpr15_rnn.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_022.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_022_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/2A_022_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Chen_Minds_Eye_A_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298856", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298856", "http://doi.org/10.1109/CVPR.2015.7298856"]}, {"id": "5979acf247d8af73b41da0eab6d8a7eda1036c9a", "title": "A Fully-Convolutional Framework for Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227388", "http://doi.org/10.1109/DICTA.2017.8227388"]}, {"id": "05357b8c05b5bc020e871fc330a88910c3177e4d", "title": "Multiple Instance Detection Network with Online Instance Classifier Refinement", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099809"]}, {"id": "2ce76250731cb19ccc5ffff43e4c6abec8f5af79", "title": "Learning to Segment Affordances", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w14/Luddecke_Learning_to_Segment_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265305", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.96", "http://doi.org/10.1109/ICCVW.2017.96"]}, {"id": "3468740e4a9fc72a269f4f0ca8470ccd60925f92", "title": "Robustness Analysis of Visual QA Models by Basic Questions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.04625.pdf"], "doi": []}, {"id": "9c11b1552748c697bbfd33c157f7b7875686eb10", "title": "Application of deep learning in object detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7960069"]}, {"id": "bf2793fc09176f8bf23b3a2b3c6b32185e8a8329", "title": "Multi-level Fusion Based 3D Object Detection from Monocular Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578347"]}, {"id": "9a33c33190ce0c1bfffe2896ce162b3be05bc9e8", "title": "Using Explanations to Improve Ensembling of Visual Question Answering Systems", "year": "2017", "pdf": [], "doi": []}, {"id": "052373d7fd12145c41377f9a05513596d32e409c", "title": "Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780377"]}, {"id": "21ff1d20dd7b3e6b1ea02036c0176d200ec5626d", "title": "Loss Max-Pooling for Semantic Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02966.pdf"], "doi": []}, {"id": "82451d0ae2e0154b5f9cd096af199c35319e911a", "title": "Image spam filtering using convolutional neural networks", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1168-8"]}, {"id": "5fe7add7bb041eb52c9983fbdd792bfad1af9992", "title": "ELASTIC: Improving CNNs with Instance Specific Scaling Policies", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05262.pdf"], "doi": []}, {"id": "c2021d9652bf3ec3921bf9c13a06e1ea51588d54", "title": "Multimodal Image Captioning for Marketing Analysis", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8396991"]}, {"id": "c88c233c50f49b4b85a8702d5ee384d96fca8c23", "title": "Object-Proposal Evaluation Protocol is \u2018Gameable\u2019", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780466"]}, {"id": "bd37ff771acd72ebdf4024043cb62fcacdd3a82b", "title": "Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval", "year": "2019", "pdf": ["https://arxiv.org/pdf/1804.11013.pdf"], "doi": []}, {"id": "a9b219bd6ad71394ad21929fb5c50387698f340d", "title": "Geometry-Aware Traffic Flow Analysis by Detection and Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575394"]}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "79a05184a6689800fee40bbb95554ffeffafeee2", "title": "Deep Image Harmonization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099782"]}, {"id": "4d86a4c74201c0d5df9a4b259a70f2221a5cb0cb", "title": "Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099901"]}, {"id": "8067d5d3fc80abb010b239bbe012b50bae8e6611", "title": "On the Robustness of Semantic Segmentation Models to Adversarial Attacks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.09856.pdf"], "doi": []}, {"id": "87fe38a79ee12531bb618d4006a476b3a5256f3e", "title": "Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02426.pdf"], "doi": []}, {"id": "04a5b47caca62d9351219726e92c08e60f74d652", "title": "A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02326.pdf"], "doi": []}, {"id": "fc09e358a130e88dead33bf6bb2cbc0e94c88291", "title": "Single-Shot Object Detection with Enriched Semantics", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578707"]}, {"id": "ca673e6c11000459e3ac27dc4ab5f29177d04fea", "title": "A detection method for low-pixel ratio object", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6653-6"]}, {"id": "e4a5ff03ac258f1bcc9c214c30497610b3d5faa2", "title": "DropBlock: A regularization method for convolutional networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.12890.pdf"], "doi": []}, {"id": "d7cb7ca97a665f23165b3c5420e848563cdf1f15", "title": "Pooling Pyramid Network for Object Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03284.pdf"], "doi": []}, {"id": "38b2e523828a1f23ad5ad4306a0f9fedca167c90", "title": "Satellite Imagery Multiscale Rapid Detection with Windowed Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09978.pdf"], "doi": []}, {"id": "1b7a7d291235e4b6e5f97722124070feb26f3cc1", "title": "Learning Two-Branch Neural Networks for Image-Text Matching Tasks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.03470.pdf"], "doi": []}, {"id": "c27c2fe9642fb82a3dfc314ce6003fe7a88eb1ec", "title": "Interpretable R-CNN", "year": "2017", "pdf": [], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/flickr_faces.json b/site/datasets/unknown/flickr_faces.json
index 4fe5e2df..26c7131a 100644
--- a/site/datasets/unknown/flickr_faces.json
+++ b/site/datasets/unknown/flickr_faces.json
@@ -1 +1 @@
-{"id": "ceb2ebef0b41e31c1a21b28c2734123900c005e2", "citations": [{"id": "36b807372d084ccf433d9e3dc73ef4718fb5cb46", "title": "A Learned Representation for Scalable Vector Graphics", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.02632.pdf"], "doi": []}, {"id": "b9e5c79339f5be61d127b46c8e25cf4dd5d0c5b5", "title": "Multiple-Identity Image Attacks Against Face-based Identity Verification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08507.pdf"], "doi": []}, {"id": "db50c58ff1d377948b74ca1c8b4a78881dfb832c", "title": "Learning to see stuff", "year": "2019", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S2352154619300397?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.cobeha.2019.07.004"]}, {"id": "725c650ae8db8d9a57e4a7b15a555dbe69b67054", "title": "GANSynth: Adversarial Neural Audio Synthesis", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.08710.pdf"], "doi": []}, {"id": "c72cc4ac1bead4c6f2a9233d5e4f1a6763cdc791", "title": "SO(8) Supergravity and the Magic of Machine Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00207.pdf"], "doi": []}, {"id": "a8f3dc53e321fbb2565f5925def4365b9f68d1af", "title": "Self-Attention Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08318.pdf"], "doi": []}, {"id": "37f675bf4329cd9e0811e232e81eef2b814c703d", "title": "Generative Adversarial Networks: A Survey and Taxonomy", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.01529.pdf"], "doi": []}, {"id": "3d25b82943a49dc7ecbe2e35551bd614886deb31", "title": "Output Standard ResNet Output Invertible ResNet InputInput", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3d25/b82943a49dc7ecbe2e35551bd614886deb31.pdf"], "doi": []}, {"id": "57ac8ee66097274a5774ac33ef41e7855811cd57", "title": "Unsupervised Image Decomposition in Vector Layers.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.05484.pdf"], "doi": []}, {"id": "62931b3e0dce8748364e19c87ef318e22ec59c7f", "title": "Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03189.pdf"], "doi": []}, {"id": "7c9c5e5e66302a9296444a233b63683c21778561", "title": "LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.07290.pdf"], "doi": []}, {"id": "33c7aef1f382f6167a950fd21e35b7c19a4ea14c", "title": "A Neuro-AI Interface: Learning DNNs from the Human Brain", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/33c7/aef1f382f6167a950fd21e35b7c19a4ea14c.pdf"], "doi": []}, {"id": "f34f14faa6f6144adb626fa8dee1286f0b734772", "title": "High-Fidelity Image Generation With Fewer Labels", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.02271.pdf"], "doi": []}, {"id": "8881f1b45ec6f0e1805627c828629cdd925bcfc6", "title": "Inspirational Adversarial Image Generation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11661.pdf"], "doi": []}, {"id": "bea263bafa31afadd9d6e150d9ac09251ffe56ee", "title": "Generating High-Resolution Fashion Model Images Wearing Custom Outfits", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.08847.pdf"], "doi": []}, {"id": "a7c531c4a38721516c6c4c155ee2234e0a3656a1", "title": "RAG: Facial Attribute Editing by Learning Residual Attributes", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8746217"]}, {"id": "41debc11e322ab83ca6ae2046781baad8b6361e8", "title": "A Large-Scale Study on Regularization and Normalization in GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04720.pdf"], "doi": []}, {"id": "4c94ee7df6bc2bfcac76703be4f059a79010f7e5", "title": "Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.06162.pdf"], "doi": []}, {"id": "ee1d22f56361547e0f357b9ecc02f6cb31416f72", "title": "Style Transfer Applied to Face Liveness Detection with User-Centered Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.07270.pdf"], "doi": []}, {"id": "7b35e14eb91fd99eda507552945975e6dbcf2952", "title": "Evaluating the distribution learning capabilities of GANs", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.02662.pdf"], "doi": []}, {"id": "b84e90c9d16a1cc1ba6153f351b08611d1077d30", "title": "Controlled Modification of Generated (Style)GAN Latent Vectors", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6af8/6e7d68f18b61af4ed18deecaef9de2e0ff85.pdf"], "doi": []}, {"id": "a4d08b98dd22b87a2b3b6c4e44496f604d92950b", "title": "Measuring the Effectiveness of Voice Conversion on Speaker Identification and Automatic Speech Recognition Systems", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12531.pdf"], "doi": []}, {"id": "21c07304466328bafe0b493f9583641f5f745c48", "title": "Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.09877.pdf"], "doi": []}, {"id": "e953ebb0d4637044c90436de5b973d64b3f45dcc", "title": "A Survey of Image Information Hiding Algorithms Based on Deep Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e953/ebb0d4637044c90436de5b973d64b3f45dcc.pdf"], "doi": []}, {"id": "eab5eaba0034a538394753edfa462a407102d1de", "title": "Texture Fields: Learning Texture Representations in Function Space", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.07259.pdf"], "doi": []}, {"id": "345e908980cf79f310fd3c7f21069bf64e1744af", "title": "Inspirational adversarial image generation Exploring the latent space of GANs", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/345e/908980cf79f310fd3c7f21069bf64e1744af.pdf"], "doi": []}, {"id": "36f7cfd15ec92239e0cdd3a034702c29010d972c", "title": "Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.10515.pdf"], "doi": []}, {"id": "ca42e4d7021d4e563bbeae7db35c1ce09fe38bfa", "title": "Classification Accuracy Score for Conditional Generative Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.10887.pdf"], "doi": []}, {"id": "24262bd12149b0b8322e0691fa30ec1a4c06b9a8", "title": "Efficient Video Generation on Complex Datasets", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.06571.pdf"], "doi": []}, {"id": "fd4e3d6cd3c9078c078178f885ae76db958340be", "title": "Synthetic Image Translation for Football Players Pose Estimation", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/58af/d93965e613bdc6e98136cccd81774af2a21c.pdf"], "doi": []}, {"id": "fe6b20332d37c50722aee0c6133df6c70826d27f", "title": "Spatially Controllable Image Synthesis with Internal Representation Collaging.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.10153.pdf"], "doi": []}, {"id": "806bb0d6688ce0d93fbe34112922060506acbf6c", "title": "Invertible Residual Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00995.pdf"], "doi": []}, {"id": "79fe166e4f6f659dbb440d73e0f07ad11265f48d", "title": "Deep learning advancements: closing the gap", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8757133"]}, {"id": "39ce89817e1909d33a107a9dcd4af6cb3b884842", "title": "Class-Distinct and Class-Mutual Image Generation with GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11163.pdf"], "doi": []}, {"id": "1e4ce741c9b5dd993826c34b492ffe9b250ea9fb", "title": "Attentive Normalization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01259.pdf"], "doi": []}, {"id": "2bc5c29a3b7784113c63c91ed758c44a8c06ec0e", "title": "TileGAN: synthesis of large-scale non-homogeneous textures", "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3322993"]}, {"id": "fcdcde3f796fc2c7d6bdeeb4f6b2281ec18be614", "title": "Hierarchical Autoregressive Image Models with Auxiliary Decoders", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.04933.pdf"], "doi": []}, {"id": "74ee4fc4cbbd74553c80d8b378b0e809a372b184", "title": "A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11478.pdf"], "doi": []}, {"id": "dbf513d27e20f41f095cacb6b8ef7bc136ce7cd1", "title": "A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07262.pdf"], "doi": []}, {"id": "27c6155fe17144cb28e727ca33ce57479e919db7", "title": "Chinese flower-bird character generation based on pencil drawings or brush drawings", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1117/1.JEI.28.3.033029"]}, {"id": "3ffbca69a2bdd21e2585f096902bdd79c8a2630f", "title": "Collaborative GAN Sampling", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00813.pdf"], "doi": []}, {"id": "59f5e8fcf7ca84c8c9eb29e0f627e972e69bf061", "title": "Collaborative Sampling in Generative Adversarial Networks.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00813.pdf"], "doi": []}, {"id": "21371ba463bb1dcab7c92b1780b808ea440f1774", "title": "Adversarial Attack Type I: Cheat Classifiers by Significant Changes.", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1648/0bf3544412ab893a750348acef19c5a76d66.pdf"], "doi": []}, {"id": "cde35c87aaabbc617d38f9cfaa2721a2e166d750", "title": "Large Scale Adversarial Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.02544.pdf"], "doi": []}, {"id": "8d36b4b1a1c0f538b9d4f79671ecfc8a196c5bb0", "title": "Positional Normalization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.04312.pdf"], "doi": []}, {"id": "da66d5d96f7a9430249639c9391d80add15a8611", "title": "Conditional Neural Style Transfer with Peer-Regularized Feature Transform", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.02913.pdf"], "doi": []}, {"id": "7a56ab8785970885460cc3cc9092b5cd769d2a4f", "title": "Scaling up deep neural networks: a capacity allocation perspective", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.04455.pdf"], "doi": []}, {"id": "3f4a0bb3f031cbe7b0043243116e779c1e75d493", "title": "FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.04913.pdf"], "doi": []}, {"id": "deb956b70eb93bb08eaabc18fb11aed9bd20d08f", "title": "SRM : A Style-based Recalibration Module for Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10829.pdf"], "doi": []}, {"id": "fc684c97d18d8dbb27b45a669209071f6dd36988", "title": "MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03938.pdf"], "doi": []}, {"id": "bb0ba74be5248c3ec684e164b4c2cb92f04c1c0b", "title": "A Survey on Face Data Augmentation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11685.pdf"], "doi": []}, {"id": "7a8d6ffbbe2b0a5e7b98d8d5d22d1f74ff60f333", "title": "DualDis: Dual-Branch Disentangling with Adversarial Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00804.pdf"], "doi": []}, {"id": "b735afafc3c71e4cdeb3a1cf4d9517c9cd319680", "title": "VQ VQ Encoder DecoderEncoder Decoder", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b735/afafc3c71e4cdeb3a1cf4d9517c9cd319680.pdf"], "doi": []}, {"id": "dffba9e340c0255e88a7119d5b79fae8c6287984", "title": "Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.09288.pdf"], "doi": []}, {"id": "ba492f8000f9a156c79ebf284afa2127d3c284ca", "title": "Semi-supervised Image Attribute Editing using Generative Adversarial Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.01841.pdf"], "doi": []}, {"id": "bc06caa65e384c8fddcaf6aec668938b80ccf638", "title": "A Generative Adversarial Network for AI-Aided Chair Design", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8695313"]}, {"id": "203895ef650c7f5ea9d6ce9645c5c61e45be7981", "title": "Malware classification using fusion of neural networks", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1117/12.2533344"]}, {"id": "6c056c17e15539b093403d1d7b8c851efe361898", "title": "The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.03776.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "ceb2ebef0b41e31c1a21b28c2734123900c005e2", "citations": [{"id": "36b807372d084ccf433d9e3dc73ef4718fb5cb46", "title": "A Learned Representation for Scalable Vector Graphics", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.02632.pdf"], "doi": []}, {"id": "db50c58ff1d377948b74ca1c8b4a78881dfb832c", "title": "Learning to see stuff", "year": "2019", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S2352154619300397?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.cobeha.2019.07.004"]}, {"id": "725c650ae8db8d9a57e4a7b15a555dbe69b67054", "title": "GANSynth: Adversarial Neural Audio Synthesis", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.08710.pdf"], "doi": []}, {"id": "c72cc4ac1bead4c6f2a9233d5e4f1a6763cdc791", "title": "SO(8) Supergravity and the Magic of Machine Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.00207.pdf"], "doi": []}, {"id": "a8f3dc53e321fbb2565f5925def4365b9f68d1af", "title": "Self-Attention Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08318.pdf"], "doi": []}, {"id": "37f675bf4329cd9e0811e232e81eef2b814c703d", "title": "Generative Adversarial Networks: A Survey and Taxonomy", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.01529.pdf"], "doi": []}, {"id": "3d25b82943a49dc7ecbe2e35551bd614886deb31", "title": "Output Standard ResNet Output Invertible ResNet InputInput", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3d25/b82943a49dc7ecbe2e35551bd614886deb31.pdf"], "doi": []}, {"id": "57ac8ee66097274a5774ac33ef41e7855811cd57", "title": "Unsupervised Image Decomposition in Vector Layers.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.05484.pdf"], "doi": []}, {"id": "62931b3e0dce8748364e19c87ef318e22ec59c7f", "title": "Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.03189.pdf"], "doi": []}, {"id": "7c9c5e5e66302a9296444a233b63683c21778561", "title": "LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.07290.pdf"], "doi": []}, {"id": "33c7aef1f382f6167a950fd21e35b7c19a4ea14c", "title": "A Neuro-AI Interface: Learning DNNs from the Human Brain", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/33c7/aef1f382f6167a950fd21e35b7c19a4ea14c.pdf"], "doi": []}, {"id": "f34f14faa6f6144adb626fa8dee1286f0b734772", "title": "High-Fidelity Image Generation With Fewer Labels", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.02271.pdf"], "doi": []}, {"id": "8881f1b45ec6f0e1805627c828629cdd925bcfc6", "title": "Inspirational Adversarial Image Generation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11661.pdf"], "doi": []}, {"id": "bea263bafa31afadd9d6e150d9ac09251ffe56ee", "title": "Generating High-Resolution Fashion Model Images Wearing Custom Outfits", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.08847.pdf"], "doi": []}, {"id": "a7c531c4a38721516c6c4c155ee2234e0a3656a1", "title": "RAG: Facial Attribute Editing by Learning Residual Attributes", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8746217"]}, {"id": "41debc11e322ab83ca6ae2046781baad8b6361e8", "title": "A Large-Scale Study on Regularization and Normalization in GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04720.pdf"], "doi": []}, {"id": "4c94ee7df6bc2bfcac76703be4f059a79010f7e5", "title": "Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.06162.pdf"], "doi": []}, {"id": "ee1d22f56361547e0f357b9ecc02f6cb31416f72", "title": "Style Transfer Applied to Face Liveness Detection with User-Centered Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.07270.pdf"], "doi": []}, {"id": "7b35e14eb91fd99eda507552945975e6dbcf2952", "title": "Evaluating the distribution learning capabilities of GANs", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.02662.pdf"], "doi": []}, {"id": "b84e90c9d16a1cc1ba6153f351b08611d1077d30", "title": "Controlled Modification of Generated (Style)GAN Latent Vectors", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/6af8/6e7d68f18b61af4ed18deecaef9de2e0ff85.pdf"], "doi": []}, {"id": "a4d08b98dd22b87a2b3b6c4e44496f604d92950b", "title": "Measuring the Effectiveness of Voice Conversion on Speaker Identification and Automatic Speech Recognition Systems", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.12531.pdf"], "doi": []}, {"id": "21c07304466328bafe0b493f9583641f5f745c48", "title": "Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.09877.pdf"], "doi": []}, {"id": "e953ebb0d4637044c90436de5b973d64b3f45dcc", "title": "A Survey of Image Information Hiding Algorithms Based on Deep Learning", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e953/ebb0d4637044c90436de5b973d64b3f45dcc.pdf"], "doi": []}, {"id": "eab5eaba0034a538394753edfa462a407102d1de", "title": "Texture Fields: Learning Texture Representations in Function Space", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.07259.pdf"], "doi": []}, {"id": "345e908980cf79f310fd3c7f21069bf64e1744af", "title": "Inspirational adversarial image generation Exploring the latent space of GANs", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/345e/908980cf79f310fd3c7f21069bf64e1744af.pdf"], "doi": []}, {"id": "36f7cfd15ec92239e0cdd3a034702c29010d972c", "title": "Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.10515.pdf"], "doi": []}, {"id": "ca42e4d7021d4e563bbeae7db35c1ce09fe38bfa", "title": "Classification Accuracy Score for Conditional Generative Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.10887.pdf"], "doi": []}, {"id": "24262bd12149b0b8322e0691fa30ec1a4c06b9a8", "title": "Efficient Video Generation on Complex Datasets", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.06571.pdf"], "doi": []}, {"id": "fd4e3d6cd3c9078c078178f885ae76db958340be", "title": "Synthetic Image Translation for Football Players Pose Estimation", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/58af/d93965e613bdc6e98136cccd81774af2a21c.pdf"], "doi": []}, {"id": "fe6b20332d37c50722aee0c6133df6c70826d27f", "title": "Spatially Controllable Image Synthesis with Internal Representation Collaging.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1811.10153.pdf"], "doi": []}, {"id": "806bb0d6688ce0d93fbe34112922060506acbf6c", "title": "Invertible Residual Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00995.pdf"], "doi": []}, {"id": "79fe166e4f6f659dbb440d73e0f07ad11265f48d", "title": "Deep learning advancements: closing the gap", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8757133"]}, {"id": "39ce89817e1909d33a107a9dcd4af6cb3b884842", "title": "Class-Distinct and Class-Mutual Image Generation with GANs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11163.pdf"], "doi": []}, {"id": "1e4ce741c9b5dd993826c34b492ffe9b250ea9fb", "title": "Attentive Normalization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01259.pdf"], "doi": []}, {"id": "2bc5c29a3b7784113c63c91ed758c44a8c06ec0e", "title": "TileGAN: synthesis of large-scale non-homogeneous textures", "year": "2019", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3322993"]}, {"id": "fcdcde3f796fc2c7d6bdeeb4f6b2281ec18be614", "title": "Hierarchical Autoregressive Image Models with Auxiliary Decoders", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.04933.pdf"], "doi": []}, {"id": "74ee4fc4cbbd74553c80d8b378b0e809a372b184", "title": "A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.11478.pdf"], "doi": []}, {"id": "dbf513d27e20f41f095cacb6b8ef7bc136ce7cd1", "title": "A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.07262.pdf"], "doi": []}, {"id": "27c6155fe17144cb28e727ca33ce57479e919db7", "title": "Chinese flower-bird character generation based on pencil drawings or brush drawings", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1117/1.JEI.28.3.033029"]}, {"id": "3ffbca69a2bdd21e2585f096902bdd79c8a2630f", "title": "Collaborative GAN Sampling", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00813.pdf"], "doi": []}, {"id": "59f5e8fcf7ca84c8c9eb29e0f627e972e69bf061", "title": "Collaborative Sampling in Generative Adversarial Networks.", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00813.pdf"], "doi": []}, {"id": "21371ba463bb1dcab7c92b1780b808ea440f1774", "title": "Adversarial Attack Type I: Cheat Classifiers by Significant Changes.", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1648/0bf3544412ab893a750348acef19c5a76d66.pdf"], "doi": []}, {"id": "cde35c87aaabbc617d38f9cfaa2721a2e166d750", "title": "Large Scale Adversarial Representation Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.02544.pdf"], "doi": []}, {"id": "8d36b4b1a1c0f538b9d4f79671ecfc8a196c5bb0", "title": "Positional Normalization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.04312.pdf"], "doi": []}, {"id": "da66d5d96f7a9430249639c9391d80add15a8611", "title": "Conditional Neural Style Transfer with Peer-Regularized Feature Transform", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.02913.pdf"], "doi": []}, {"id": "7a56ab8785970885460cc3cc9092b5cd769d2a4f", "title": "Scaling up deep neural networks: a capacity allocation perspective", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.04455.pdf"], "doi": []}, {"id": "3f4a0bb3f031cbe7b0043243116e779c1e75d493", "title": "FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.04913.pdf"], "doi": []}, {"id": "deb956b70eb93bb08eaabc18fb11aed9bd20d08f", "title": "SRM : A Style-based Recalibration Module for Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10829.pdf"], "doi": []}, {"id": "fc684c97d18d8dbb27b45a669209071f6dd36988", "title": "MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03938.pdf"], "doi": []}, {"id": "bb0ba74be5248c3ec684e164b4c2cb92f04c1c0b", "title": "A Survey on Face Data Augmentation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.11685.pdf"], "doi": []}, {"id": "b735afafc3c71e4cdeb3a1cf4d9517c9cd319680", "title": "VQ VQ Encoder DecoderEncoder Decoder", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/b735/afafc3c71e4cdeb3a1cf4d9517c9cd319680.pdf"], "doi": []}, {"id": "dffba9e340c0255e88a7119d5b79fae8c6287984", "title": "Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations", "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.09288.pdf"], "doi": []}, {"id": "ba492f8000f9a156c79ebf284afa2127d3c284ca", "title": "Semi-supervised Image Attribute Editing using Generative Adversarial Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.01841.pdf"], "doi": []}, {"id": "bc06caa65e384c8fddcaf6aec668938b80ccf638", "title": "A Generative Adversarial Network for AI-Aided Chair Design", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8695313"]}, {"id": "203895ef650c7f5ea9d6ce9645c5c61e45be7981", "title": "Malware classification using fusion of neural networks", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1117/12.2533344"]}, {"id": "6c056c17e15539b093403d1d7b8c851efe361898", "title": "The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.03776.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/megaface.json b/site/datasets/unknown/megaface.json
index 434b4759..28eabf1b 100644
--- a/site/datasets/unknown/megaface.json
+++ b/site/datasets/unknown/megaface.json
@@ -1 +1 @@
-{"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "citations": [{"id": "34cd0ad0bdba5e74f06303bb58995bb54f7fcf3d", "title": "Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments", "year": "2017", "pdf": [], "doi": []}, {"id": "576f4fd5f50c58c755eae73a983939bdccf8fac6", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/576f/4fd5f50c58c755eae73a983939bdccf8fac6.pdf"], "doi": []}, {"id": "b3ce5d65848b40c8035d87c4b11236f34adfae8a", "title": "Distributed Mining of Outliers from Large Multi-Dimensional Databases", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3ce/5d65848b40c8035d87c4b11236f34adfae8a.pdf"], "doi": []}, {"id": "da57bcc1a6c3b12eece51eded72035d21af10584", "title": "VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.05653.pdf"], "doi": []}, {"id": "d98476b475679db68431654be5eaadaa86aee9ff", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "d0df01d1a183d23be8fd638fdb2142280c737e80", "title": "Apprentissage automatique pour la d\u00e9tection d'anomalies dans les donn\u00e9es ouvertes : application \u00e0 la cartographie. (Satellite images analysis for anomaly detection in open geographical data)", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d0df/01d1a183d23be8fd638fdb2142280c737e80.pdf"], "doi": []}, {"id": "c4051f726e529543bd2f2b3039f61c1ba0889301", "title": "Eye In-painting with Exemplar Generative Adversarial Networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578922"]}, {"id": "8b79bfc93c7001dd7bb1eea7715af47d76202827", "title": "Decorrelated Adversarial Learning for Age-Invariant Face Recognition", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/8b79/bfc93c7001dd7bb1eea7715af47d76202827.pdf"], "doi": []}, {"id": "461ceb053b119b85022cc591132de6bcdc8bdc1f", "title": "Dictionary Representation of Deep Features for Occlusion-Robust Face Recognition", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8651449"]}, {"id": "9dc915697768dd1f7c7b97e2c25c90b02241958b", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578650"]}, {"id": "5d684c197c06139319bf575e2498fe040d9ea32f", "title": "Laplace Landmark Localization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.11633.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "ad8e7b7349e15c4592aa2c18ce79f77671084781", "title": "Fast Face Image Synthesis With Minimal Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658792"]}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "9d14cdbf0af4af7a7bc0a62084fe9c0ab43d6502", "title": "Towards a Fast and Accurate Face Recognition System from Deep Representations", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/9d14/cdbf0af4af7a7bc0a62084fe9c0ab43d6502.pdf"], "doi": []}, {"id": "750486b2278ba542987655eede1b4da8c10f7f2e", "title": "Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01281.pdf"], "doi": []}, {"id": "5a564d108b43c6ff006a86d2fc981cd36c6c54dd", "title": "Deep Learning for Understanding Faces", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5a56/4d108b43c6ff006a86d2fc981cd36c6c54dd.pdf"], "doi": []}, {"id": "d45fd2b4583dd218091003ab65a4d77ccec6da47", "title": "Large-Scale Bisample Learning on ID Versus Spot Face Recognition", "year": "2018", "pdf": ["http://export.arxiv.org/pdf/1806.03018", "https://arxiv.org/pdf/1806.03018.pdf"], "doi": ["https://doi.org/10.1007/s11263-019-01162-8"]}, {"id": "39b615c73810e13998df3df9d5e73aebd3e67dab", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "56f1202f88cefd4aad6f97914eeae61c1f5531b7", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511"]}, {"id": "8ed7d8a07ac21328d3c03ff3880e6f6f939257f6", "title": "Adversarial Learning for Age-Invariant Face Recognition", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8ed7/d8a07ac21328d3c03ff3880e6f6f939257f6.pdf"], "doi": []}, {"id": "4e1a65f3c3d9cfeecab898affbe0b47a9b6c9157", "title": "DIY Human Action Dataset Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575353"]}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "4a6d7d222838c6bc59a32190c2f07d278f15539f", "title": "Towards optimal local binary patterns in texture and face description", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4a6d/7d222838c6bc59a32190c2f07d278f15539f.pdf"], "doi": []}, {"id": "ddcf0cf00a50cff93c2cbdc6823aad7ab1d3634f", "title": "ID-Softmax: A Softmax-like Loss for ID Face Recognition", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/5244/4f9562ef17557de24d22716491b11bbd2802.pdf"], "doi": []}, {"id": "b612bbd751d94996a02b85829e0b2ac0511350ff", "title": "Learning Representations for Utility and Privacy : An Information-Theoretic Based Approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b612/bbd751d94996a02b85829e0b2ac0511350ff.pdf"], "doi": []}, {"id": "eb4be3c7711935c936cb6755e0873cb1492af71e", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "3d789ce25828a9b55947927063aa87f643c2a41c", "title": "Face In Video Evaluation (FIVE) Face Recognition of Non-Cooperative Subjects", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3d78/9ce25828a9b55947927063aa87f643c2a41c.pdf"], "doi": []}, {"id": "b090bf0d5b4a780821b4f45fc216ac614493020d", "title": "A Generative Model of Worldwide Facial Appearance", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658761"]}, {"id": "b8f22ef91a7fccbe7b04a0caf0d5d5f88e2cd230", "title": "The 2017 IARPA Face Recognition Prize Challenge (FRPC)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b8f2/2ef91a7fccbe7b04a0caf0d5d5f88e2cd230.pdf"], "doi": []}, {"id": "20a64c3d0d2108bc5fc7b0bbd11ad941734d5f2b", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8565895"]}, {"id": "934f69d038721540c96093cae634573b89d7d714", "title": "DeSTNet : Densely Fused Spatial Transformer Networks 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/934f/69d038721540c96093cae634573b89d7d714.pdf"], "doi": []}, {"id": "7d2165ee47828fac5128cd554b9be89c851463fb", "title": "Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575453"]}, {"id": "2e2534eb1f1af5c043a009391f0ef955aeed2044", "title": "Switchable Normalization for Learning-to-Normalize Deep Representation", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/2e25/34eb1f1af5c043a009391f0ef955aeed2044.pdf"], "doi": []}, {"id": "1e34b7505fef52b2881f4de6e78cfb90d51085a0", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Large Scale, Few-Shot Video-to-Still Face Recognition", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1e34/b7505fef52b2881f4de6e78cfb90d51085a0.pdf"], "doi": []}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "2c75658b080a9baaac20db39af86016ffa36f6f0", "title": "Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578977"]}, {"id": "97834ad2a0556fedbea0407a84ca8f520f0fc11f", "title": "Face-Specific Data Augmentation for Unconstrained Face Recognition", "year": "2019", "pdf": ["https://talhassner.github.io/home/projects/augmented_faces/Masietal_IJCV2019.pdf"], "doi": ["https://doi.org/10.1007/s11263-019-01178-0"]}, {"id": "a4433a97e766362c1f2ce6f013dff15a3fe9a3ac", "title": "Overcoming catastrophic forgetting with hard attention to the task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01423.pdf"], "doi": []}, {"id": "64a68e1a3f7e5496ade9ee376f69d3bd15c43b70", "title": "Multi-camera object tracking via deep metric learning", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1117/12.2500776"]}, {"id": "35ddd4896d9396d5dcff3f32bd79ff7cf3e82777", "title": "ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.10620.pdf"], "doi": []}, {"id": "7789e2dcfa2bcd3ac55c63060509629ad77adb73", "title": "DHFML: deep heterogeneous feature metric learning for matching photograph and cartoon pairs", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-018-0160-4"]}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "568435e4a2d161c68808a35250be147202867ce4", "title": "Deep Learning For Face Recognition: A Critical Analysis", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.12739.pdf"], "doi": []}, {"id": "c6cdf39c70aabf973a56db1ea009ab275f3f6ee8", "title": "Image-set, Temporal and Spatiotemporal Representations of Videos for Recognizing, Localizing and Quantifying Actions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c6cd/f39c70aabf973a56db1ea009ab275f3f6ee8.pdf"], "doi": []}, {"id": "3998f7d6022f67a1cf6050bccd3131911fec5a8a", "title": "Self Residual Attention Network for Deep Face Recognition", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698884"]}, {"id": "fef0adf785aa6b91d23f0a61a32deece48a7f156", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "c924137ca87e8b4e1557465405744f8b639b16fc", "title": "Seeding Deep Learning using Wireless Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10242.pdf"], "doi": []}, {"id": "4da4642ac4c1fcfbecd622dad485307b8d30ed2b", "title": "Deep representation for partially occluded face verification", "year": "2018", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0379-2"], "doi": ["https://doi.org/10.1186/s13640-018-0379-2"]}, {"id": "fb67b0625e2374d2c32e447fb682c22784c5a8b5", "title": "Wearable Technologies for Law Enforcement: Multifunctional Vest System Options", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fb67/b0625e2374d2c32e447fb682c22784c5a8b5.pdf"], "doi": []}, {"id": "4e6ac0f8dfa5592458e100bc0bb5bac69f7912c1", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/de47/c456f5e8d0d663c204afca443c6412740fee.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "c9c56f8bb89948d15a9564b146e7bdff7b17a1c2", "title": "Modeling Grasp Motor Imagery", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c9c5/6f8bb89948d15a9564b146e7bdff7b17a1c2.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "3417d1521552330aee30e0d9a6aec481ba904b17", "title": "An Investigation of High-Throughput Biometric Systems: Results of the 2018 Department of Homeland Security Biometric Technology Rally", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698547"]}, {"id": "559b12257d56725fbef5790e2dfdec8751919ef1", "title": "Synthesizing Normalized Faces from Facial Identity Features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099844"]}, {"id": "4d3fbeb69ee1207d47b182dd88bdd82791f1c17d", "title": "Performance Comparison of Face Detection and Recognition Algorithms", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4d3f/beb69ee1207d47b182dd88bdd82791f1c17d.pdf"], "doi": []}, {"id": "3f4a0bb3f031cbe7b0043243116e779c1e75d493", "title": "FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.04913.pdf"], "doi": []}, {"id": "db0880947452943a038e8d4c348107ef631d26a9", "title": "Learning from Longitudinal Face Demonstration\u2014Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["http://arxiv.org/pdf/1711.10520", "https://arxiv.org/pdf/1711.10520.pdf", "https://export.arxiv.org/pdf/1711.10520"], "doi": ["https://doi.org/10.1007/s11263-019-01165-5"]}, {"id": "722b8cdb7d786283c6d6512729622561e3072d68", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237665"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "1d4f087217b816691254ef0d4377094ce16eea95", "title": "Adversarially Learned Representations for Information Obfuscation and Inference", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/7778/6c525fce29a84bf4cfcd5e7f901ddc04847a.pdf"], "doi": []}, {"id": "bcd883ef8faa9a81f5c14da97669df1dd2e8f1b8", "title": "Local directional relation pattern for unconstrained and robust face retrieval", "year": "2017", "pdf": ["http://arxiv.org/pdf/1709.09518", "http://arxiv-export-lb.library.cornell.edu/pdf/1709.09518", "https://arxiv.org/pdf/1709.09518.pdf"], "doi": ["https://doi.org/10.1007/s11042-019-07908-3"]}, {"id": "d2eb1079552fb736e3ba5e494543e67620832c52", "title": "DeSTNet: Densely Fused Spatial Transformer Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04050.pdf"], "doi": []}, {"id": "04922595cee2ce50030674a7179ecd871e5df1d2", "title": "Effective indexing for face recognition", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1117/12.2238096"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "8a9ca15aebadad4b7cfa18c5af91c431d6045b86", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "829770e9eff6ae7f9a2412b63e438e19767c564c", "title": "Computer Vision", "year": "2014", "pdf": ["http://www.cl.cam.ac.uk/teaching/0809/CompVision/CompVisNotes.pdf", "http://www.cl.cam.ac.uk/teaching/1617/CompVision/ConsolidatedSlides.pdf", "http://www.cl.cam.ac.uk/teaching/2004/CompVision/notes.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part01-intro.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part02-linear_regression.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part07-approximate_inference.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part15-latent_factor_models.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part16-beta_processes-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part17-beta_processes2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part18-support_vector_machines.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part20-structured-output-learning-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part21-structured-output-learning2.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part01-intro.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part03-image-processing2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part03-image-processing2.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part05-segmentation1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part12-local-features3.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part13-categorization2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part14-reconstruction1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-13-14/lectures/cv13-part05-structure-extraction.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-13-14/lectures/cv13-part15-local-features4.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part03-image-processing2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part14-local-features3.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part17-reconstruction1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part17-reconstruction1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part22-repetition.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision_2/lectures/cv2_14-part08-kalman-filter-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision_2/lectures/cv2_14-part12-multiobject-tracking3-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2012/lectures/ml12-part15-graphical_models5.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2015/lectures-1/ml15-part13-graphical_models1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2015/lectures-1/ml15-part15-graphical_models3.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2015/lectures-1/ml15-part18-repetition.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part02-pde1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part09-nonlinear_svms.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part13-model_selection.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part20-graphical_models5.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2014/computer-vision-2/cv2_14-part08-kalman-filter-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2014/computer-vision-2/cv2_14-part12-multiobject-tracking3-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2015/machine-learning/ml15-part13-graphical_models1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2015/machine-learning/ml15-part15-graphical_models3.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2015/machine-learning/ml15-part18-repetition.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part02-pde1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part05-linear_discriminants-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part12-randomized_trees-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part15-graphical_models1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part18-graphical_models4.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2019/computer-vision/cv19-part02-image-processing.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2012/advanced-machine-learning/ml2_12-part01-intro.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2012/advanced-machine-learning/ml2_12-part02-linear_regression.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2012/advanced-machine-learning/ml2_12-part07-approximate_inference.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2012/advanced-machine-learning/ml2_12-part15-latent_factor_models.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2012/advanced-machine-learning/ml2_12-part18-support_vector_machines.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2012/advanced-machine-learning/ml2_12-part21-structured-output-learning2.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part03-image-processing2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part14-local-features3.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part17-reconstruction1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part22-repetition.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part01-intro.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part02-linear_regression.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part12-neural-networks-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part16-cnns2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part10-categorization2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part22-repetition-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/advanced-machine-learning/ml2_16-part08-linear-discriminants-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/advanced-machine-learning/ml2_16-part12-optimization2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/advanced-machine-learning/ml2_16-part16-word-embeddings.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/advanced-machine-learning/ml2_16-part21-repetition.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part03-image-processing2.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part07-segmentation2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part09-categorization2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part21-reconstruction4-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2017/machine-learning/ml17-part17-cnns3-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2018/machine-learning/ml18-part06-linear_discriminants2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2018/machine-learning/ml18-part07-linear_svms.pdf", "https://www.cl.cam.ac.uk/teaching/1516/CompVision/slides2016.pdf", "https://www.cl.cam.ac.uk/teaching/1819/CompVision/CompVisLectureNotes2019.pdf", "https://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part17-reconstruction1.pdf", "https://www.vision.rwth-aachen.de/media/course/WS/2017/machine-learning/ml17-part06-linear_discriminants2-6on1.pdf", "https://www.vision.rwth-aachen.de/media/course/WS/2017/machine-learning/ml17-part08-nonlinear_svms-6on1.pdf", "https://www.vision.rwth-aachen.de/media/course/WS/2017/machine-learning/ml17-part10-adaboost.pdf"], "doi": ["https://doi.org/10.1007/978-0-387-31439-6_100073", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part12-randomized_trees-6on1.ppt"]}, {"id": "e4a7e92be7865cebe78ad3ebb46c80789c92d473", "title": "Not-So-CLEVR: learning same-different relations strains feedforward neural networks.", "year": "2018", "pdf": ["https://royalsocietypublishing.org/doi/pdf/10.1098/rsfs.2018.0011", "http://serre-lab.clps.brown.edu/wp-content/uploads/2018/06/not_so_clevr_RoyalSoc.pdf", "http://serre-lab.clps.brown.edu/wp-content/uploads/2019/07/RSFS20180011.pdf"], "doi": ["https://doi.org/10.1098/rsfs.2018.0011", "https://www.ncbi.nlm.nih.gov/pubmed/29951191"]}, {"id": "b882e95f0bbf0f253d1e22afa3090ea3f82456e5", "title": "Face and Body Biometrics in the Wild: Advances in the Visible Spectrum and Beyond", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b882/e95f0bbf0f253d1e22afa3090ea3f82456e5.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "1a6a5a33aa27e44b80b51d0bbc26734a7fc2cccf", "title": "Overview of research on facial ageing using the FG-NET ageing database", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2014.0053"]}]}
\ No newline at end of file
+{"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "citations": [{"id": "34cd0ad0bdba5e74f06303bb58995bb54f7fcf3d", "title": "Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments", "year": "2017", "pdf": [], "doi": []}, {"id": "576f4fd5f50c58c755eae73a983939bdccf8fac6", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/576f/4fd5f50c58c755eae73a983939bdccf8fac6.pdf"], "doi": []}, {"id": "b3ce5d65848b40c8035d87c4b11236f34adfae8a", "title": "Distributed Mining of Outliers from Large Multi-Dimensional Databases", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3ce/5d65848b40c8035d87c4b11236f34adfae8a.pdf"], "doi": []}, {"id": "d98476b475679db68431654be5eaadaa86aee9ff", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411217"]}, {"id": "d0df01d1a183d23be8fd638fdb2142280c737e80", "title": "Apprentissage automatique pour la d\u00e9tection d'anomalies dans les donn\u00e9es ouvertes : application \u00e0 la cartographie. (Satellite images analysis for anomaly detection in open geographical data)", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d0df/01d1a183d23be8fd638fdb2142280c737e80.pdf"], "doi": []}, {"id": "c4051f726e529543bd2f2b3039f61c1ba0889301", "title": "Eye In-painting with Exemplar Generative Adversarial Networks", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578922"]}, {"id": "8b79bfc93c7001dd7bb1eea7715af47d76202827", "title": "Decorrelated Adversarial Learning for Age-Invariant Face Recognition", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/8b79/bfc93c7001dd7bb1eea7715af47d76202827.pdf"], "doi": []}, {"id": "461ceb053b119b85022cc591132de6bcdc8bdc1f", "title": "Dictionary Representation of Deep Features for Occlusion-Robust Face Recognition", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8651449"]}, {"id": "9dc915697768dd1f7c7b97e2c25c90b02241958b", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578650"]}, {"id": "5d684c197c06139319bf575e2498fe040d9ea32f", "title": "Laplace Landmark Localization", "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.11633.pdf"], "doi": []}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"], "doi": []}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8614364", "http://doi.org/10.1109/SIBGRAPI.2018.00067"]}, {"id": "ad8e7b7349e15c4592aa2c18ce79f77671084781", "title": "Fast Face Image Synthesis With Minimal Training", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658792"]}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "65984ea40c3b17bb8965c215b61972cd660f61a7", "title": "Doppelganger Mining for Face Representation Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Smirnov_Doppelganger_Mining_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265436", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.226", "http://doi.org/10.1109/ICCVW.2017.226"]}, {"id": "4739b47af26137ec52bbfb582e6f37e9e9f5aba0", "title": "Hard Example Mining with Auxiliary Embeddings", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Smirnov_Hard_Example_Mining_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575283", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00013", "http://doi.org/10.1109/CVPRW.2018.00013"]}, {"id": "9d14cdbf0af4af7a7bc0a62084fe9c0ab43d6502", "title": "Towards a Fast and Accurate Face Recognition System from Deep Representations", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/9d14/cdbf0af4af7a7bc0a62084fe9c0ab43d6502.pdf"], "doi": []}, {"id": "750486b2278ba542987655eede1b4da8c10f7f2e", "title": "Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.01281.pdf"], "doi": []}, {"id": "5a564d108b43c6ff006a86d2fc981cd36c6c54dd", "title": "Deep Learning for Understanding Faces", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5a56/4d108b43c6ff006a86d2fc981cd36c6c54dd.pdf"], "doi": []}, {"id": "d45fd2b4583dd218091003ab65a4d77ccec6da47", "title": "Large-Scale Bisample Learning on ID Versus Spot Face Recognition", "year": "2018", "pdf": ["http://export.arxiv.org/pdf/1806.03018", "https://arxiv.org/pdf/1806.03018.pdf"], "doi": ["https://doi.org/10.1007/s11263-019-01162-8"]}, {"id": "39b615c73810e13998df3df9d5e73aebd3e67dab", "title": "A Compact Embedding for Facial Expression Similarity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11283.pdf"], "doi": []}, {"id": "56f1202f88cefd4aad6f97914eeae61c1f5531b7", "title": "UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265511"]}, {"id": "8ed7d8a07ac21328d3c03ff3880e6f6f939257f6", "title": "Adversarial Learning for Age-Invariant Face Recognition", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8ed7/d8a07ac21328d3c03ff3880e6f6f939257f6.pdf"], "doi": []}, {"id": "4e1a65f3c3d9cfeecab898affbe0b47a9b6c9157", "title": "DIY Human Action Dataset Generation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575353"]}, {"id": "c607572fd2594ca83f732c9790fd590da9e69eb1", "title": "Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment ( FRUE )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c607/572fd2594ca83f732c9790fd590da9e69eb1.pdf"], "doi": []}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "4a6d7d222838c6bc59a32190c2f07d278f15539f", "title": "Towards optimal local binary patterns in texture and face description", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4a6d/7d222838c6bc59a32190c2f07d278f15539f.pdf"], "doi": []}, {"id": "ddcf0cf00a50cff93c2cbdc6823aad7ab1d3634f", "title": "ID-Softmax: A Softmax-like Loss for ID Face Recognition", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/5244/4f9562ef17557de24d22716491b11bbd2802.pdf"], "doi": []}, {"id": "b612bbd751d94996a02b85829e0b2ac0511350ff", "title": "Learning Representations for Utility and Privacy : An Information-Theoretic Based Approach", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b612/bbd751d94996a02b85829e0b2ac0511350ff.pdf"], "doi": []}, {"id": "eb4be3c7711935c936cb6755e0873cb1492af71e", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "3d789ce25828a9b55947927063aa87f643c2a41c", "title": "Face In Video Evaluation (FIVE) Face Recognition of Non-Cooperative Subjects", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3d78/9ce25828a9b55947927063aa87f643c2a41c.pdf"], "doi": []}, {"id": "b090bf0d5b4a780821b4f45fc216ac614493020d", "title": "A Generative Model of Worldwide Facial Appearance", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658761"]}, {"id": "b8f22ef91a7fccbe7b04a0caf0d5d5f88e2cd230", "title": "The 2017 IARPA Face Recognition Prize Challenge (FRPC)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b8f2/2ef91a7fccbe7b04a0caf0d5d5f88e2cd230.pdf"], "doi": []}, {"id": "20a64c3d0d2108bc5fc7b0bbd11ad941734d5f2b", "title": "Heterogeneous Face Recognition Using Domain Specific Units", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8565895"]}, {"id": "934f69d038721540c96093cae634573b89d7d714", "title": "DeSTNet : Densely Fused Spatial Transformer Networks 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/934f/69d038721540c96093cae634573b89d7d714.pdf"], "doi": []}, {"id": "7d2165ee47828fac5128cd554b9be89c851463fb", "title": "Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575453"]}, {"id": "2e2534eb1f1af5c043a009391f0ef955aeed2044", "title": "Switchable Normalization for Learning-to-Normalize Deep Representation", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/2e25/34eb1f1af5c043a009391f0ef955aeed2044.pdf"], "doi": []}, {"id": "1e34b7505fef52b2881f4de6e78cfb90d51085a0", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Large Scale, Few-Shot Video-to-Still Face Recognition", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/1e34/b7505fef52b2881f4de6e78cfb90d51085a0.pdf"], "doi": []}, {"id": "8395cf3535a6628c3bdc9b8d0171568d551f5ff0", "title": "Entropy Non-increasing Games for the Improvement of Dataflow Programming", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04389.pdf"], "doi": []}, {"id": "2c75658b080a9baaac20db39af86016ffa36f6f0", "title": "Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578977"]}, {"id": "97834ad2a0556fedbea0407a84ca8f520f0fc11f", "title": "Face-Specific Data Augmentation for Unconstrained Face Recognition", "year": "2019", "pdf": ["https://talhassner.github.io/home/projects/augmented_faces/Masietal_IJCV2019.pdf"], "doi": ["https://doi.org/10.1007/s11263-019-01178-0"]}, {"id": "a4433a97e766362c1f2ce6f013dff15a3fe9a3ac", "title": "Overcoming catastrophic forgetting with hard attention to the task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01423.pdf"], "doi": []}, {"id": "64a68e1a3f7e5496ade9ee376f69d3bd15c43b70", "title": "Multi-camera object tracking via deep metric learning", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1117/12.2500776"]}, {"id": "7789e2dcfa2bcd3ac55c63060509629ad77adb73", "title": "DHFML: deep heterogeneous feature metric learning for matching photograph and cartoon pairs", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-018-0160-4"]}, {"id": "48499deeaa1e31ac22c901d115b8b9867f89f952", "title": "Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4849/9deeaa1e31ac22c901d115b8b9867f89f952.pdf"], "doi": []}, {"id": "3c0fffd4cdbfef4ccd92d528d8b8a60ab0929827", "title": "An Empirical Study of Face Recognition under Variations", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373845", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00052", "http://doi.org/10.1109/FG.2018.00052"]}, {"id": "568435e4a2d161c68808a35250be147202867ce4", "title": "Deep Learning For Face Recognition: A Critical Analysis", "year": "2019", "pdf": ["https://arxiv.org/pdf/1907.12739.pdf"], "doi": []}, {"id": "c6cdf39c70aabf973a56db1ea009ab275f3f6ee8", "title": "Image-set, Temporal and Spatiotemporal Representations of Videos for Recognizing, Localizing and Quantifying Actions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c6cd/f39c70aabf973a56db1ea009ab275f3f6ee8.pdf"], "doi": []}, {"id": "3998f7d6022f67a1cf6050bccd3131911fec5a8a", "title": "Self Residual Attention Network for Deep Face Recognition", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698884"]}, {"id": "fef0adf785aa6b91d23f0a61a32deece48a7f156", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"], "doi": []}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "c924137ca87e8b4e1557465405744f8b639b16fc", "title": "Seeding Deep Learning using Wireless Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10242.pdf"], "doi": []}, {"id": "4da4642ac4c1fcfbecd622dad485307b8d30ed2b", "title": "Deep representation for partially occluded face verification", "year": "2018", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0379-2"], "doi": ["https://doi.org/10.1186/s13640-018-0379-2"]}, {"id": "fb67b0625e2374d2c32e447fb682c22784c5a8b5", "title": "Wearable Technologies for Law Enforcement: Multifunctional Vest System Options", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fb67/b0625e2374d2c32e447fb682c22784c5a8b5.pdf"], "doi": []}, {"id": "4e6ac0f8dfa5592458e100bc0bb5bac69f7912c1", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/de47/c456f5e8d0d663c204afca443c6412740fee.pdf"], "doi": []}, {"id": "e3d76f1920c5bf4a60129516abb4a2d8683e48ae", "title": "I Know That Person: Generative Full Body and Face De-identification of People in Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Kalafatic_I_Know_That_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014907", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.173", "http://doi.org/10.1109/CVPRW.2017.173"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "c9c56f8bb89948d15a9564b146e7bdff7b17a1c2", "title": "Modeling Grasp Motor Imagery", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c9c5/6f8bb89948d15a9564b146e7bdff7b17a1c2.pdf"], "doi": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"], "doi": []}, {"id": "3417d1521552330aee30e0d9a6aec481ba904b17", "title": "An Investigation of High-Throughput Biometric Systems: Results of the 2018 Department of Homeland Security Biometric Technology Rally", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8698547"]}, {"id": "559b12257d56725fbef5790e2dfdec8751919ef1", "title": "Synthesizing Normalized Faces from Facial Identity Features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099844"]}, {"id": "4d3fbeb69ee1207d47b182dd88bdd82791f1c17d", "title": "Performance Comparison of Face Detection and Recognition Algorithms", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/4d3f/beb69ee1207d47b182dd88bdd82791f1c17d.pdf"], "doi": []}, {"id": "3f4a0bb3f031cbe7b0043243116e779c1e75d493", "title": "FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age", "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.04913.pdf"], "doi": []}, {"id": "722b8cdb7d786283c6d6512729622561e3072d68", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237665"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373866", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00073", "http://doi.org/10.1109/FG.2018.00073"]}, {"id": "1d4f087217b816691254ef0d4377094ce16eea95", "title": "Adversarially Learned Representations for Information Obfuscation and Inference", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/7778/6c525fce29a84bf4cfcd5e7f901ddc04847a.pdf"], "doi": []}, {"id": "bcd883ef8faa9a81f5c14da97669df1dd2e8f1b8", "title": "Local directional relation pattern for unconstrained and robust face retrieval", "year": "2017", "pdf": ["http://arxiv.org/pdf/1709.09518", "http://arxiv-export-lb.library.cornell.edu/pdf/1709.09518", "https://arxiv.org/pdf/1709.09518.pdf"], "doi": ["https://doi.org/10.1007/s11042-019-07908-3"]}, {"id": "d2eb1079552fb736e3ba5e494543e67620832c52", "title": "DeSTNet: Densely Fused Spatial Transformer Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04050.pdf"], "doi": []}, {"id": "04922595cee2ce50030674a7179ecd871e5df1d2", "title": "Effective indexing for face recognition", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1117/12.2238096"]}, {"id": "173657da03e3249f4e47457d360ab83b3cefbe63", "title": "HKU-Face : A Large Scale Dataset for Deep Face Recognition Final Report", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1736/57da03e3249f4e47457d360ab83b3cefbe63.pdf"], "doi": []}, {"id": "8a9ca15aebadad4b7cfa18c5af91c431d6045b86", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"], "doi": []}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "829770e9eff6ae7f9a2412b63e438e19767c564c", "title": "Computer Vision", "year": "2014", "pdf": ["http://www.cl.cam.ac.uk/teaching/0809/CompVision/CompVisNotes.pdf", "http://www.cl.cam.ac.uk/teaching/1617/CompVision/ConsolidatedSlides.pdf", "http://www.cl.cam.ac.uk/teaching/2004/CompVision/notes.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part01-intro.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part02-linear_regression.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part07-approximate_inference.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part15-latent_factor_models.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part16-beta_processes-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part17-beta_processes2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part18-support_vector_machines.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part20-structured-output-learning-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/advanced-machine-learning/winter-12-13/lectures/ml2_12-part21-structured-output-learning2.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part01-intro.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part03-image-processing2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part03-image-processing2.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part05-segmentation1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part12-local-features3.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part13-categorization2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-12-13/lectures/cv12-part14-reconstruction1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-13-14/lectures/cv13-part05-structure-extraction.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-13-14/lectures/cv13-part15-local-features4.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part03-image-processing2-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part14-local-features3.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part17-reconstruction1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part17-reconstruction1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision/winter-14-15/lectures/cv14-part22-repetition.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision_2/lectures/cv2_14-part08-kalman-filter-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_computer_vision_2/lectures/cv2_14-part12-multiobject-tracking3-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2012/lectures/ml12-part15-graphical_models5.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2015/lectures-1/ml15-part13-graphical_models1-6on1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2015/lectures-1/ml15-part15-graphical_models3.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/summer-2015/lectures-1/ml15-part18-repetition.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part02-pde1.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part09-nonlinear_svms.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part13-model_selection.pdf", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part20-graphical_models5.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2014/computer-vision-2/cv2_14-part08-kalman-filter-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2014/computer-vision-2/cv2_14-part12-multiobject-tracking3-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2015/machine-learning/ml15-part13-graphical_models1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2015/machine-learning/ml15-part15-graphical_models3.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2015/machine-learning/ml15-part18-repetition.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part02-pde1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part05-linear_discriminants-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part12-randomized_trees-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part15-graphical_models1.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2016/machine-learning/ml16-part18-graphical_models4.pdf", "http://www.vision.rwth-aachen.de/media/course/SS/2019/computer-vision/cv19-part02-image-processing.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2012/advanced-machine-learning/ml2_12-part01-intro.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2012/advanced-machine-learning/ml2_12-part02-linear_regression.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2012/advanced-machine-learning/ml2_12-part07-approximate_inference.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2012/advanced-machine-learning/ml2_12-part15-latent_factor_models.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2012/advanced-machine-learning/ml2_12-part18-support_vector_machines.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2012/advanced-machine-learning/ml2_12-part21-structured-output-learning2.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part03-image-processing2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part14-local-features3.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part17-reconstruction1-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part22-repetition.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part01-intro.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part02-linear_regression.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part12-neural-networks-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/advanced-machine-learning/ml2_15-part16-cnns2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part10-categorization2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2015/computer-vision/cv15-part22-repetition-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/advanced-machine-learning/ml2_16-part08-linear-discriminants-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/advanced-machine-learning/ml2_16-part12-optimization2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/advanced-machine-learning/ml2_16-part16-word-embeddings.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/advanced-machine-learning/ml2_16-part21-repetition.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part03-image-processing2.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part07-segmentation2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part09-categorization2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2016/computer-vision/cv16-part21-reconstruction4-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2017/machine-learning/ml17-part17-cnns3-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2018/machine-learning/ml18-part06-linear_discriminants2-6on1.pdf", "http://www.vision.rwth-aachen.de/media/course/WS/2018/machine-learning/ml18-part07-linear_svms.pdf", "https://www.cl.cam.ac.uk/teaching/1516/CompVision/slides2016.pdf", "https://www.cl.cam.ac.uk/teaching/1819/CompVision/CompVisLectureNotes2019.pdf", "https://www.vision.rwth-aachen.de/media/course/WS/2014/computer-vision/cv14-part17-reconstruction1.pdf", "https://www.vision.rwth-aachen.de/media/course/WS/2017/machine-learning/ml17-part06-linear_discriminants2-6on1.pdf", "https://www.vision.rwth-aachen.de/media/course/WS/2017/machine-learning/ml17-part08-nonlinear_svms-6on1.pdf", "https://www.vision.rwth-aachen.de/media/course/WS/2017/machine-learning/ml17-part10-adaboost.pdf"], "doi": ["https://doi.org/10.1007/978-0-387-31439-6_100073", "http://www.mmp.rwth-aachen.de/teaching/lecture_machine_learning/winter-13-14/lectures/ml13-part12-randomized_trees-6on1.ppt"]}, {"id": "e4a7e92be7865cebe78ad3ebb46c80789c92d473", "title": "Not-So-CLEVR: learning same-different relations strains feedforward neural networks.", "year": "2018", "pdf": ["https://royalsocietypublishing.org/doi/pdf/10.1098/rsfs.2018.0011", "http://serre-lab.clps.brown.edu/wp-content/uploads/2018/06/not_so_clevr_RoyalSoc.pdf", "http://serre-lab.clps.brown.edu/wp-content/uploads/2019/07/RSFS20180011.pdf"], "doi": ["https://doi.org/10.1098/rsfs.2018.0011", "https://www.ncbi.nlm.nih.gov/pubmed/29951191"]}, {"id": "b882e95f0bbf0f253d1e22afa3090ea3f82456e5", "title": "Face and Body Biometrics in the Wild: Advances in the Visible Spectrum and Beyond", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b882/e95f0bbf0f253d1e22afa3090ea3f82456e5.pdf"], "doi": []}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "1a6a5a33aa27e44b80b51d0bbc26734a7fc2cccf", "title": "Overview of research on facial ageing using the FG-NET ageing database", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2014.0053"]}]}
\ No newline at end of file
diff --git a/site/datasets/unknown/voc.json b/site/datasets/unknown/voc.json
index a2197382..771f810c 100644
--- a/site/datasets/unknown/voc.json
+++ b/site/datasets/unknown/voc.json
@@ -1 +1 @@
-{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "citations": [{"id": "c399c0089fb134d1476fadf5f0426e0e8b70eebd", "title": "The Lov\u00e1sz Hinge: A Novel Convex Surrogate for Submodular Losses.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1512.07797.pdf"], "doi": []}, {"id": "6b6fcf1220ea100aa80004018c78b137289d3c50", "title": "CAD: Scale Invariant Framework for Real-Time Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265304"]}, {"id": "656f05741c402ba43bb1b9a58bcc5f7ce2403d9a", "title": "Supervised Learning Approaches for Automatic Structuring of Videos. (M\u00e9thodes d'apprentissage supervis\u00e9 pour la structuration automatique de vid\u00e9os)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/656f/05741c402ba43bb1b9a58bcc5f7ce2403d9a.pdf"], "doi": []}, {"id": "aa3398e15395a2a380c7c6b3f274c8c60fb0b48c", "title": "Chained Cascade Network for Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237476"]}, {"id": "e58434a01c45505995b000f5e631843a2f2ea582", "title": "Scale coding bag of deep features for human attribute and action recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.04884.pdf"], "doi": []}, {"id": "eaf65c7cf4e9f7868c61f48656cb608fae0adcee", "title": "Visual dictionaries as intermediate features in the human brain", "year": "2014", "pdf": ["http://journal-cdn.frontiersin.org/article/104962/files/pubmed-zip/versions/1/pdf", "http://journal.frontiersin.org/article/10.3389/fncom.2014.00168/pdf", "https://pure.uva.nl/ws/files/2455021/162945_fncom_08_00168.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25642183", "http://doi.org/10.3389/fncom.2014.00168", "https://www.wikidata.org/entity/Q34969835"]}, {"id": "4c5d723dd83250c6b289c94318717de2d373a6ed", "title": "Learning Image Classification and Retrieval Models", "year": "2012", "pdf": [], "doi": []}, {"id": "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "title": "PCANet: A Simple Deep Learning Baseline for Image Classification?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1404.3606.pdf"], "doi": []}, {"id": "095ccb4e2e0f3934dc1aa51c685b2f54c8a6e588", "title": "Derivate-based Component-Trees for Multi-Channel Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01906.pdf"], "doi": []}, {"id": "a221588fd2d062462254481cfd9563fec2f7c387", "title": "Deep neural network ensemble architecture for eye movements classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8345537"]}, {"id": "67126ad0af544740c455311d08cb180aec830a6c", "title": "Generating Descriptions of Spatial Relations between Objects in Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6712/6ad0af544740c455311d08cb180aec830a6c.pdf"], "doi": []}, {"id": "823db813f036365cf9b22b2081ec167a2b582532", "title": "Segmentation and Shape Extraction from Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354273", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00169", "http://doi.org/10.1109/WACV.2018.00169", "http://www.grk1564.uni-siegen.de/publicationPDFbyID?ID=926"]}, {"id": "f3ccdf54a3384e601fa36969e7b3f657e2516a3b", "title": "Paying More A ention to Saliency : Image Captioning with Saliency and Context A ention 1 : 3", "year": "2017", "pdf": [], "doi": []}, {"id": "2c9c597ab660815e07980e9655c3c5989402205b", "title": "Vision-Based Reacquisition for Task-Level Control", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2c9c/597ab660815e07980e9655c3c5989402205b.pdf"], "doi": []}, {"id": "aae1bf434983545c8a99a5dbfc2ce37435c76e03", "title": "SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00248.pdf"], "doi": []}, {"id": "ff18125a8f549135e6320fed91d0002bd2dae635", "title": "Colour Terms: a Categorisation Model Inspired by Visual Cortex Neurons", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06300.pdf"], "doi": []}, {"id": "3e50e351687779c05390daf117f0394d1556cd3c", "title": "Die Detektion interessanter Objekte unter Verwendung eines objektbasierten Aufmerksamkeitsmodells", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e50/e351687779c05390daf117f0394d1556cd3c.pdf"], "doi": []}, {"id": "065f05c9cb2a6080191851dd82cd9b439a77499a", "title": "Comparing Boosted Cascades to Deep Learning Architectures for Fast and Robust Coconut Tree Detection in Aerial Images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/065f/05c9cb2a6080191851dd82cd9b439a77499a.pdf"], "doi": []}, {"id": "4ba503d8f173880d8e8402808f54b78b653e5d20", "title": "Accelerating Stochastic Gradient Descent via Online Learning to Sample", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4ba5/03d8f173880d8e8402808f54b78b653e5d20.pdf"], "doi": []}, {"id": "03a2235fea70317461222fac05e38ee35ead9711", "title": "Implementation of a Computer Vision Algorithm for Onboard Detection of Unmanned Aircraft submitted by Luk\u00e1\u0161 Bauer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03a2/235fea70317461222fac05e38ee35ead9711.pdf"], "doi": []}, {"id": "d07dabdea9e2e4546b09d07a019723ceb6c61b84", "title": "Deep learning for text spotting", "year": "2015", "pdf": [], "doi": []}, {"id": "7f66ff8dd0313fc9c7d67be7ea5aecdda956657c", "title": "Tracking-by-Segmentation with Online Gradient Boosting Decision Tree", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410707", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.350", "http://doi.org/10.1109/ICCV.2015.350"]}, {"id": "4896c9f6958137c88db29a3a707aafae3c29d106", "title": "Discriminative Re-ranking of Diverse Segmentations", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619095"]}, {"id": "858555b6f4663fe083d6c81a2671c9cd8130bbf3", "title": "Object Discovery via Cohesion Measurement", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.08944.pdf"], "doi": []}, {"id": "f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6", "title": "Rapid Object Detection Systems , Utilising Deep Learning and Unmanned Aerial Systems ( Uas ) for Civil Engineering Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f81f/5da2a1e4eb80b465b8dffca4c9e583a8a8a6.pdf"], "doi": []}, {"id": "369bd35ab8bad4c7bc5e376cc776a5366d97b12e", "title": "An Object Detector Trained on Line Drawings", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/369b/d35ab8bad4c7bc5e376cc776a5366d97b12e.pdf"], "doi": []}, {"id": "46971fb6caa61c606b046da855be4e196a830ccf", "title": "Identification of Scene Text by Character Descriptor in Smart Mobile Devices", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4697/1fb6caa61c606b046da855be4e196a830ccf.pdf"], "doi": []}, {"id": "afad16c9fee11d8f78785af6b1856beb86b5ccf4", "title": "Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08011.pdf"], "doi": []}, {"id": "9089280062cf40870a322d687c2850d45c02ebae", "title": "Single Image Action Recognition by Predicting Space-Time Saliency", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04641.pdf"], "doi": []}, {"id": "cf384eda31030a45238ebd8356ace7600da5076b", "title": "Cross-Domain CNN for Hyperspectral Image Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00093.pdf"], "doi": []}, {"id": "44c5e66e58dd8212b753662e08cc0a7c8327ec50", "title": "Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-ijcv14.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-ijcv14.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0778-5"]}, {"id": "83acbf0bee402b0472ff101cee5942f4137d91c3", "title": "Semi-automatic Annotation on Image Segmentation Hierarchies", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/83ac/bf0bee402b0472ff101cee5942f4137d91c3.pdf"], "doi": []}, {"id": "e9af96d478b487fec9a06dde9e43b2ed3355ea7b", "title": "Automatic thresholding of SIFT descriptors", "year": "2016", "pdf": ["https://arxiv.org/pdf/1811.03173.pdf"], "doi": []}, {"id": "b1369e4785dd0b23f89ca76f45468049c8667863", "title": "1 DARTS : Deceiving Autonomous Cars with Toxic Signs", "year": "2018", "pdf": [], "doi": []}, {"id": "1a5151b4205ab27b1c76f98964debbfc11b124d5", "title": "Self Paced Deep Learning for Weakly Supervised Object Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.07651.pdf"], "doi": []}, {"id": "f1d8c377093ecf64afd7f17383738e81666fe5ae", "title": "Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10805.pdf"], "doi": []}, {"id": "12ff1c48f5776fda9d156c7b324af3f2674420a9", "title": "Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/12ff/1c48f5776fda9d156c7b324af3f2674420a9.pdf"], "doi": []}, {"id": "e4dc24e4926df4de3e8d7ca7cd1f4115e91f03e1", "title": "Instance-level video segmentation from object tracks Anonymous CVPR submission", "year": "", "pdf": ["https://pdfs.semanticscholar.org/e4dc/24e4926df4de3e8d7ca7cd1f4115e91f03e1.pdf"], "doi": []}, {"id": "194af94f1ea9357bebb0aab5ab98aa0daa21ddbd", "title": "Snapshot Distillation: Teacher-Student Optimization in One Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00123.pdf"], "doi": []}, {"id": "9d67f5adf4497ba99201d318cfbbed07e926c05b", "title": "Unseen Object Segmentation in Videos via Transferable Representations", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02444.pdf"], "doi": []}, {"id": "0caef87116f62fcc86735401a9aa9d4e170ffbef", "title": "On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics", "year": "2015", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/Das_ITSC2015.pdf", "http://cvrr.ucsd.edu/publications/2015/DasOhnbarTrivedi_ITSC2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313566", "http://doi.org/10.1109/ITSC.2015.473"]}, {"id": "806aea24148fc2ef851803c216a0a25894d78bf4", "title": "Correlation filter based visual trackers for person pursuit using a low-cost Quadrotor", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294481", "http://doi.org/10.1109/I4CS.2015.7294481"]}, {"id": "63ed42249d7cbb21a4b0d42419d42b014ff114eb", "title": "Comprehensive Parameter Sweep for Learning-Based Detector on Traffic Lights", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4817/826f1af10e0c31dee067f8d9255d6387d486.pdf"], "doi": []}, {"id": "1b1323b4677c640ae8835a9ccab611ca1e9652e3", "title": "Robust object tracking with a hierarchical ensemble framework", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.06925.pdf"], "doi": []}, {"id": "557e5e38a4c5b95e2bc86f491b03e5c8c7add857", "title": "Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/kwak2016.pdf", "https://vlg.dgist.ac.kr/research/pose_emb/data/CVPR2016_pose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780903", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.534", "http://doi.org/10.1109/CVPR.2016.534"]}, {"id": "6bcc2b50e32bdbb0c668f75000badf21e6cd0839", "title": "Knowledge Projection for Deep Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09505.pdf"], "doi": []}, {"id": "071680ca97de050a372ea79f2b99f102bb3ca6ef", "title": "Inferring Unseen Views of People", "year": "2014", "pdf": ["http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/inferring-unseen-views-of-people-paper.pdf", "http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/inferring-unseen-views-of-people-poster.pdf", "http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/supp.pdf", "http://www.cs.utexas.edu/~chaoyeh/cvpr_2014_Inferring_Unseen_Views_of_People%20(2).pdf", "http://www.cs.utexas.edu/~grauman/papers/chen-pose-cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Inferring_Unseen_Views_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909655", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.258", "http://doi.org/10.1109/CVPR.2014.258"]}, {"id": "415c0eecce9fde7d1ba9c70bd0bfa5471760c117", "title": "Oriented Object Proposals", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cs.cityu.edu.hk/~rynson/papers/iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410397", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.40", "http://doi.org/10.1109/ICCV.2015.40"]}, {"id": "f865248065b8d6bcbce4a4053b73e4de2080ba23", "title": "Efficient object detection for high resolution images", "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.01257.pdf"], "doi": []}, {"id": "e0e19769ad446c2a74c0616fcfb551059c899ce6", "title": "Part level transfer regularization for enhancing exemplar SVMs", "year": "2015", "pdf": ["http://people.csail.mit.edu/yusuf/publications/2015/Aytar15/aytar15.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.04.004"]}, {"id": "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "title": "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909475"]}, {"id": "a0703bef11c978cc8faf05eb229e29a889f8a0b1", "title": "Superpixel Hierarchy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.06325.pdf"], "doi": []}, {"id": "472de7b3c674e8f06702385569779d11b71bc8f2", "title": "Superpixel Coherency and Uncertainty Models for Semantic Segmentation", "year": "2013", "pdf": ["http://cvlab.postech.ac.kr/~tgx.lim/paper/iccv2013_semantic.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W08/papers/Baek_Superpixel_Coherency_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755909"]}, {"id": "73818ae13a89c2377c30cdb029fdb7e490fe5367", "title": "Joint cost minimization for multi-object tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078481", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078481", "http://doi.org/10.1109/AVSS.2017.8078481"]}, {"id": "ba51ce1ec7b18fa808985b919f4a201fe5e4bafb", "title": "Semantic parsing for priming object detection in indoors RGB-D scenes", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ba51/ce1ec7b18fa808985b919f4a201fe5e4bafb.pdf"], "doi": []}, {"id": "23e707600c3e9a240e24eaa4ed4b0e4ec6a436c1", "title": "Automatic foreground extraction via joint CRF and online learning", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7f3b/115dd38a933f3a88e3b20b58862216297d63.pdf"], "doi": []}, {"id": "c5632e2117d268159225d5c307b7efbb6428ccba", "title": "Understanding image concepts using ISTOP model", "year": "2016", "pdf": ["http://www.cs.uu.nl/groups/MG/multimedia/publications/art/PR2016b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.11.010"]}, {"id": "773fd71d3d24c268c99e1c53ae87a28da3bbe0f6", "title": "Conditional Entropies as Over-Segmentation and Under-Segmentation Metrics for Multi-Part Image Segmentation", "year": "2011", "pdf": [], "doi": []}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "9ea7205ef136f207123cd6b54e15075835ae0049", "title": "Self-supervised language grounding by active sensing combined with Internet acquired images and text", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9ea7/205ef136f207123cd6b54e15075835ae0049.pdf"], "doi": []}, {"id": "6452d294af27b1f9408c9522bfb98bf00e1e4732", "title": "A novel infrared video surveillance system using deep learning based techniques", "year": "2018", "pdf": ["https://ore.exeter.ac.uk/repository/bitstream/handle/10871/32083/MTA-manuscript-revision-R2-accepted.pdf?isAllowed=y&sequence=1", "https://repository.edgehill.ac.uk/10281/6/MTA-manuscript-revision-R2.pdf"], "doi": ["https://doi.org/10.1007/s11042-018-5883-y"]}, {"id": "191beb87f84326d2cc9c427efe2a5abee8f67574", "title": "Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05462.pdf"], "doi": []}, {"id": "5020a75c45416073d0b07b1deb7382bc80de1779", "title": "Human Detection Using Learned Part Alphabet and Pose Dictionary", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/HumanDetectionECCV2014.pdf", "http://mc.eistar.net/UpLoadFiles/Papers/%5B38%5D%202014%20ECCV%20Yaocong.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930251.pdf", "https://cis.temple.edu/~latecki/Papers/HumanDetectionECCV2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10602-1_17"]}, {"id": "6e7248f33be3f6b44d6089b7039a5c2d84acaed0", "title": "Object cosegmentation using deep Siamese network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02555.pdf"], "doi": []}, {"id": "b8ccc5341a1b0214e9d155b019962023f344c2ee", "title": "Incremental Learning of Object Detectors without Catastrophic Forgetting", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06977.pdf"], "doi": []}, {"id": "37668092cf8b7695d4a85eb7a25e9a2ef0fd0739", "title": "Robust object detection under partial occlusion", "year": "2016", "pdf": [], "doi": []}, {"id": "49f276e1b8fd162ac3cd996becc63cab2b2535b7", "title": "Trained 3D Models for CNN based Object Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/49f2/76e1b8fd162ac3cd996becc63cab2b2535b7.pdf"], "doi": []}, {"id": "1426045c4188f09fec46d0d2f246357a230a1748", "title": "Structured Labels in Random Forests for Semantic Labelling and Object Detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6784137", "http://doi.org/10.1109/TPAMI.2014.2315814", "https://www.ncbi.nlm.nih.gov/pubmed/26352638", "https://www.wikidata.org/entity/Q38404154"]}, {"id": "efe133717899b41cd4c0b0c999da312d3af60a6e", "title": "Depth-Based Hand Pose Estimation: Methods, Data, and Challenges", "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.06378.pdf"], "doi": []}, {"id": "9caa7605c16da42761c8a27327f5f037dbf901fa", "title": "q-Gaussian mixture models for image and video semantic indexing", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2013.10.005", "http://t2r2.star.titech.ac.jp/rrws/file/CTT100664441/ATD100000413/"]}, {"id": "4bb84c9b24456fb0bb920ca83280bd9c48ad4b66", "title": "Instance-Level Video Segmentation from Object Tracks", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Seguin_Instance-Level_Video_Segmentation_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Seguin_Instance-Level_Video_Segmentation_CVPR_2016_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/seguin2016.pdf", "http://www.di.ens.fr/willow/research/instancelevel/seguin16instancelevel.pdf", "http://www.di.ens.fr/~bojanowski/papers/seguin16instance.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780769", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.400", "http://doi.org/10.1109/CVPR.2016.400"]}, {"id": "ce0dbe6b1abecb54dcc98dbe652aa63d190dbc94", "title": "Part-Based Models for Finding People and Estimating Their Pose", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ce0d/be6b1abecb54dcc98dbe652aa63d190dbc94.pdf"], "doi": []}, {"id": "a5683661e80668e05170bf17bcbd754d1b07af74", "title": "Comparison of Data Set Bias in Object Recognition Benchmarks", "year": "2015", "pdf": ["http://vfacstaff.ltu.edu/lshamir/publications/object_recognition_dataset_bias.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299607", "http://doi.org/10.1109/ACCESS.2015.2491921"]}, {"id": "646a669f1dc38ae961fe41fbd3c83cab64ce9d53", "title": "Real-Time Seamless Single Shot 6D Object Pose Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578136"]}, {"id": "575a0e97702edcb0621a47b574949bac50e34200", "title": "Unsupervised Learning by Predicting Noise", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05310.pdf"], "doi": []}, {"id": "b9128ff3b0b96815ff41a7d5fb2b4bef69f635ca", "title": "Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04984.pdf"], "doi": []}, {"id": "7c03a0ad5202a6a31ad3b78b11f6b45ecd840616", "title": "Scale-Invariant Feature Learning using Deconvolutional Neural Networks for Weakly-Supervised Semantic Segmentation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c03/a0ad5202a6a31ad3b78b11f6b45ecd840616.pdf"], "doi": []}, {"id": "17342b1c4caccfc499d9ae55a68d7b93285c5d6b", "title": "Action recognition in still images using a combination of human pose and context information", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6466977", "http://doi.org/10.1109/ICIP.2012.6466977"]}, {"id": "571d2b173c2db8ac751dabdfcf5a18c06f365e05", "title": "Improved Part Segmentation Performance by Optimising Realism of Synthetic Images using Cycle Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06301.pdf"], "doi": []}, {"id": "90e36f66c25a4c73a252102c6c6c329c36d82676", "title": "Probably Unknown: Deep Inverse Sensor Modelling In Radar", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08151.pdf"], "doi": []}, {"id": "fb710e9d897b7c1fd5275a0bcfa22711c5768990", "title": "A Graphical Model for Rapid Obstacle Image-Map Estimation from Unmanned Surface Vehicles", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fb71/0e9d897b7c1fd5275a0bcfa22711c5768990.pdf"], "doi": []}, {"id": "821ba3eba1e36a29cc482f5378f4a0d0f6893159", "title": "Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07926.pdf"], "doi": []}, {"id": "b50156e76ae03a1c0b04cd2076a99b7f2b441506", "title": "An image classification method that considers privacy-preservation", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.04.056"]}, {"id": "3481a544e28cfc14108b0785eef7c12747e622ee", "title": "Online Multi-object Tracking via Structural Constraint Event Aggregation", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr16_mot.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201703210652/Online%20Multi-Object%20Tracking%20via%20Structural%20Constraint%20Event%20Aggregation.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yoon_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780524", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.155", "http://doi.org/10.1109/CVPR.2016.155"]}, {"id": "7fd5d2b0a034da43a747f6b8be3e51d775a05625", "title": "A Method to Detect Boats in Images of the Amazonian Rivers", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8247064", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2017.73", "http://doi.org/10.1109/BRACIS.2017.73"]}, {"id": "13105c611a059b4825bc92ff9778f532b6a849b2", "title": "Compressing Sparse Feature Vectors Using Random Ortho-Projections", "year": "2010", "pdf": ["http://www.ee.oulu.fi/mvg/files/pdf/PID1267977.pdf", "http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/PID1267977.pdf", "http://www.rni.helsinki.fi/~msa/pub/ICPR2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597593", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.345", "http://doi.org/10.1109/ICPR.2010.345"]}, {"id": "0967341790643f680f3fc9dc87bfe311723be4e4", "title": "A Perception-Driven Transcale Display Scheme for Space Image Sequences", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0967/341790643f680f3fc9dc87bfe311723be4e4.pdf"], "doi": []}, {"id": "a8bf49021017e19df051a3efb7337d93ea263e37", "title": "Deep Multiple Instance Hashing for Object-based Image Retrieval", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a8bf/49021017e19df051a3efb7337d93ea263e37.pdf"], "doi": []}, {"id": "347ce37f15cea5bb8d0a676562664f80e3609b78", "title": "Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04702.pdf"], "doi": []}, {"id": "0755ee472e2bc2968b16f851a16c39b3f3e2d0d0", "title": "From Weakly Supervised Object Localization to Semantic Segmentation by Probabilistic Image Modeling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227436", "http://doi.org/10.1109/DICTA.2017.8227436"]}, {"id": "659fc2a483a97dafb8fb110d08369652bbb759f9", "title": "Improving the Fisher Kernel for Large-Scale Image Classification", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/659f/c2a483a97dafb8fb110d08369652bbb759f9.pdf"], "doi": []}, {"id": "1e02dfeb93e8fd8753d2e69baf705baf8996cb81", "title": "Online Object Tracking, Learning and Parsing with And-Or Graphs", "year": "2014", "pdf": ["https://arxiv.org/pdf/1509.08067.pdf"], "doi": []}, {"id": "bdfb5f11d497b44b17d0315c3b6892f835723832", "title": "Object Captioning and Retrieval with Natural Language", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06152.pdf"], "doi": []}, {"id": "43fe9006b90137d6ce85a539685ce66c13f0e38e", "title": "A review of image-based automatic facial landmark identification techniques", "year": "", "pdf": ["https://pdfs.semanticscholar.org/43fe/9006b90137d6ce85a539685ce66c13f0e38e.pdf"], "doi": []}, {"id": "642772c38ff690d17a3ce84a1d8646aefc802139", "title": "VIDEO OBJECT TRACKING BASED ON AUTOMATIC BACKGROUND SEGMENTATION : A SURVEY", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6427/72c38ff690d17a3ce84a1d8646aefc802139.pdf"], "doi": []}, {"id": "303c08071500421c3aca758e6c7cd6a9fcbda1a8", "title": "Scene understanding with complete scenes and structured representations", "year": "2014", "pdf": [], "doi": []}, {"id": "86f0f71bff42e4bdc60014e4f94ec76d52c8eccf", "title": "Felzenszwalb-Baum-Welch: Event Detection by Changing Appearance", "year": "2013", "pdf": ["https://arxiv.org/pdf/1306.4746.pdf"], "doi": []}, {"id": "d9cc8bc5c4a4b29ab40f75b721bd9e5140d2baf6", "title": "Object Detection for Crime Scene Evidence Analysis Using Deep Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6926/4f28158f9245a06f7a2c1ae666241261cc0e.pdf"], "doi": []}, {"id": "d3f6b3ce8f7b67c1e112a79b3fe9764242c655f5", "title": "Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354202"]}, {"id": "9b6538d09e914c41345812b3086feff1dc1ae218", "title": "Detecting Comma-shaped Clouds for Severe Weather Forecasting using Shape and Motion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08937.pdf"], "doi": []}, {"id": "bf417e1c265b31720b4fb980afb83cc3a573fa6f", "title": "Representations and Similarities of Images for Visual Classification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bf41/7e1c265b31720b4fb980afb83cc3a573fa6f.pdf"], "doi": []}, {"id": "4dc57432fa8fea1614a39c324bf11ae0620cb26f", "title": "Aalborg Universitet Detection of U . S . Traffic", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6e53/63af2bfb7d1b2bd13feb41c2688bd0cf12b3.pdf"], "doi": []}, {"id": "878169be6e2c87df2d8a1266e9e37de63b524ae7", "title": "Image interpretation above and below the object level.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8781/69be6e2c87df2d8a1266e9e37de63b524ae7.pdf"], "doi": []}, {"id": "3daafe6389d877fe15d8823cdf5ac15fd919676f", "title": "Human Action Localization with Sparse Spatial Supervision", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05197.pdf"], "doi": []}, {"id": "04f9b591cdfa1e3667230ae1224b1dfdac0a8ef1", "title": "Discriminative Segment Annotation in Weakly Labeled Video", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619165"]}, {"id": "4e4f2c4d2ea47636ca2ab795770d6b3214640f37", "title": "Efficient Maximum Appearance Search for Large-Scale Object Detection", "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/qiangcvpr2013_final.pdf", "http://rogerioferis.com/publications/ChenCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d190.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Efficient_Maximum_Appearance_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619254", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.410", "http://doi.org/10.1109/CVPR.2013.410"]}, {"id": "9434524669777d281a8a7358f20181c9e157942e", "title": "VSEM: An open library for visual semantics representation", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9434/524669777d281a8a7358f20181c9e157942e.pdf"], "doi": []}, {"id": "0e0900b88c33b671be5dd2ded9885b6526d6b429", "title": "From captions to visual concepts and back", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4952.pdf"], "doi": []}, {"id": "4d910c5ab0b70ddbef6be944077ed63821608135", "title": "On Dimensionality Reduction for Indexing and Retrieval of Large-Scale Solar Image Data", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4d91/0c5ab0b70ddbef6be944077ed63821608135.pdf"], "doi": []}, {"id": "9076183dcdb28ebb3e547f7ffd3f9d5d0faec531", "title": "Describing Video Contents in Natural Language", "year": "2012", "pdf": [], "doi": []}, {"id": "07764e1607d9e3d8094455adb658077996eb38c4", "title": "End-to-End Trained CNN Encoder-Decoder Networks for Image Steganography", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07201.pdf"], "doi": []}, {"id": "46f135110c5fc5f158bc3ffce21b9ae946c7ff68", "title": "Adaptive NormalHedge for robust visual tracking", "year": "2015", "pdf": ["https://core.ac.uk/download/pdf/33581176.pdf", "https://pure.qub.ac.uk/portal/files/13941301/main_huiyu.pdf"], "doi": ["https://doi.org/10.1016/j.sigpro.2014.08.027"]}, {"id": "b961009dedea99f948650df7291a28f18bbfc1dc", "title": "Towards Automated Visual Monitoring of Individual Gorillas in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265544"]}, {"id": "7dbc61e2dc497e9dcff98e7df832780cc8a2b60c", "title": "A Flexible Object-of-Interest Annotation Framework for Online Video Portals", "year": "2012", "pdf": ["http://www.mdpi.com/1999-5903/4/1/179/pdf"], "doi": ["https://doi.org/10.3390/fi4010179"]}, {"id": "d4f454b24a7901dea14858808bbe277c7bee8ffb", "title": "Edge-based Component-Trees for Multi-Channel Image Segmentation", "year": "2017", "pdf": [], "doi": []}, {"id": "6768b558cc58e113096540c123ef3b2c2d2469a1", "title": "Maximum Margin Linear Classifiers in Unions of Subspaces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1a06/e518bf15015153b4973bb2e9e06e51485a4c.pdf"], "doi": []}, {"id": "ba6c19771926564e89be4ace7c33dc3da580249e", "title": "Utilisation du contexte pour l'indexation s\u00e9mantique des images et vid\u00e9os. (Using context for semantic indexing of images and videos)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ba6c/19771926564e89be4ace7c33dc3da580249e.pdf"], "doi": []}, {"id": "447b28c347172c6da0fb4d764a534fdee557b7f8", "title": "Studying Relationships between Human Gaze, Description, and Computer Vision", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618945"]}, {"id": "782b21e803d149955c627c063ae60efeae04a9b1", "title": "Analysis of Multilayer Neural Networks for Object Recognition", "year": "2014", "pdf": [], "doi": []}, {"id": "3e01f2fefe219bfeb112f1d82e76ebba4c0e2aac", "title": "Transfer learning via attributes for improved on-the-fly classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836097", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836097", "http://doi.org/10.1109/WACV.2014.6836097"]}, {"id": "ba156b81fe8fca1fd1bfb1c822e39205c4ff355b", "title": "Unsupervised Multi-class Joint Image Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909798"]}, {"id": "72048081cfe678f700c52e1c7a56713a8e0865b6", "title": "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02074.pdf"], "doi": []}, {"id": "9cd8a2d07f07d888fcf50aa0735d0831edcf5e46", "title": "Bag of contour fragments for robust shape classification", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/XinggangPR2014.pdf", "http://mc.eistar.net/~xwang/pubs/BagOfShape.pdf", "http://mclab.eic.hust.edu.cn/~xwang/pubs/BagOfShape.pdf", "https://cis.temple.edu/~latecki/Papers/XinggangPR2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.12.008"]}, {"id": "8c21cd8d5e98c77d727fc900450c6223f9e1fa24", "title": "DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8526799"]}, {"id": "7fe203374ba3ddc8462a7c775b276e53f09dd036", "title": "NavigationNet: A Large-scale Interactive Indoor Navigation Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08374.pdf"], "doi": []}, {"id": "8f8599012002dd3bbb6526b3be92d7a7355ad22a", "title": "Construction et \u00e9valuation d'un corpus pour la recherche d'instances d'images mus\u00e9ales", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8f85/99012002dd3bbb6526b3be92d7a7355ad22a.pdf"], "doi": []}, {"id": "ebf35073e122782f685a0d6c231622412f28a53b", "title": "A High-Quality Denoising Dataset for Smartphone Cameras", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578280"]}, {"id": "9463f71b2d8e291d5fc5a7db6b95b3d01e759b29", "title": "Describing Spatial Relationships between Objects in Images in English and French", "year": "2015", "pdf": ["http://www.emnlp2015.org/proceedings/VL/pdf/VL16.pdf"], "doi": ["https://doi.org/10.18653/v1%2FW15-2816", "http://aclweb.org/anthology/W15-2816", "https://doi.org/10.18653/v1/W15-2816"]}, {"id": "aaa6fe8045e1a071e1762cffe4f59e0bd508daf9", "title": "Single-Pedestrian Detection Aided by Two-Pedestrian Detection", "year": "2015", "pdf": ["http://www.ee.cuhk.edu.hk/~wlouyang/Papers/tpami15-ouyang_xgWang_xyZeng.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangZWtpami15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6994306", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2377734", "http://doi.org/10.1109/TPAMI.2014.2377734", "https://www.ncbi.nlm.nih.gov/pubmed/26353133"]}, {"id": "2a7007555f71e559c6aa33efbd3bd8b401638d82", "title": "Full interpretation of minimal images", "year": "2018", "pdf": ["https://perso.telecom-paristech.fr/bloch/AIC/articles/BenYosef2017.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S001002771730269X?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cognition.2017.10.006", "https://www.ncbi.nlm.nih.gov/pubmed/29107889"]}, {"id": "08c71fe89af5f168b373e92b44a7cf9d1755fb8c", "title": "The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition", "year": "2013", "pdf": ["http://infoscience.epfl.ch/record/182860/files/2013_ChavarriagaPRLETTERS_preprint.pdf?version=1", "https://www.researchgate.net/profile/Ricardo_Chavarriaga/publication/258031577_The_Opportunity_challenge_A_benchmark_database_for_on-body_sensor-based_activity_recognition/links/02e7e528146aa12213000000.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2012.12.014"]}, {"id": "8d73906f0a232e8b94200017e512446c1af4dd9d", "title": "Detection of U.S. Traffic Signs", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7116530"]}, {"id": "497857bce6ea1ed4889fb949a2f176072e2509c7", "title": "A Comparison of L_1 Norm and L_2 Norm Multiple Kernel SVMs in Image and Video Classification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5137808"]}, {"id": "1d5f704a98d82c34de96ceb80fa06552082effd3", "title": "Dynamic Zoom-in Network for Fast Object Detection in Large Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578822"]}, {"id": "3de71ddc07619c0dd6bbaa3f7b412a9262a0e761", "title": "Discriminatively Trained And-Or Tree Models for Object Detection", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d278.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Song_Discriminatively_Trained_And-Or_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/DiscriminativeAOG_cvpr2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619265", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.421", "http://doi.org/10.1109/CVPR.2013.421"]}, {"id": "18b4a20ed465972d9d8f3f8d8982d321acf45907", "title": "Mod\u00e9lisation de contextes pour l'annotation s\u00e9mantique de vid\u00e9os. (Context based modeling for video semantic annotation)", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/18b4/a20ed465972d9d8f3f8d8982d321acf45907.pdf"], "doi": []}, {"id": "992a614aa601c52b20729538ea25b62471ffe8bc", "title": "Towards Automatic Construction of Diverse, High-quality Image Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06495.pdf"], "doi": []}, {"id": "53822d61e829ef02a95a6c89fea082114fd3e16b", "title": "A General Framework for Tracking Multiple People from a Moving Camera", "year": "2013", "pdf": ["http://www.willowgarage.com/sites/default/files/pami_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6361406", "http://doi.org/10.1109/TPAMI.2012.248", "https://www.ncbi.nlm.nih.gov/pubmed/23681988", "https://www.wikidata.org/entity/Q48723090"]}, {"id": "323eb410e0d0978901a8baa670f905f280ab19ff", "title": "Inner-Scene Similarities as a Contextual Cue for Object Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04406.pdf"], "doi": []}, {"id": "7532996c27b199ed89b412a9f0df7483df83ea72", "title": "Committees of deep feedforward networks trained with few data", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5947.pdf"], "doi": []}, {"id": "bf7238df8b3a7fc0ebf0e8028a417c7e99fca8d8", "title": "An ontology-based framework for the automated analysis and interpretation of comic books' images", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.ins.2016.10.032", "https://hal.archives-ouvertes.fr/hal-01387033/document"]}, {"id": "c6e042f9db094d3a01c13a9d3120fc6898f40cb8", "title": "Multi-label Classification for Image Annotation via Sparse Similarity Voting", "year": "2010", "pdf": ["http://naosite.lb.nagasaki-u.ac.jp/dspace/bitstream/10069/27087/1/LNCS6469_344.pdf", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-22819-3_35"], "doi": ["https://doi.org/10.1007/978-3-642-22819-3_35"]}, {"id": "2dd6749ddffa620d2ac40275a436ecd89aa51a45", "title": "Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images", "year": "2017", "pdf": ["http://www.mdpi.com/2072-4292/9/5/500/pdf"], "doi": ["https://doi.org/10.3390/rs9050500", "https://www.preprints.org/manuscript/201704.0061/v1/download"]}, {"id": "478261574ddc6cf297611000735aa9808f8f0030", "title": "ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04405.pdf"], "doi": []}, {"id": "c5fcc36768428185c0ec0f04c82c9204c9ba962c", "title": "Deep Material-Aware Cross-Spectral Stereo Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578303"]}, {"id": "e4fc560a78e48bd927c2f6253f5fc489927bb15f", "title": "Detecting objects in internet videos AIMS Project Report", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e4fc/560a78e48bd927c2f6253f5fc489927bb15f.pdf"], "doi": []}, {"id": "2049db406168f63c46e5efd2d5ceb5941e3fdc7c", "title": "Region detection and matching for object recognition", "year": "2013", "pdf": [], "doi": []}, {"id": "e42b89b6ed1c6d79286a62ded1e4c090f474eb40", "title": "Using image analytics to monitor retail store shelves", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1147/JRD.2015.2394513"]}, {"id": "64fb6a04a3ec96b2ad266c381c75f4dc16ce3460", "title": "Hole-based traffic sign detection method for traffic signs with red rim", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-013-0879-0"]}, {"id": "24c20c28871fa923c3f45b745b9b9f2d3d280e81", "title": "Harmony potentials for joint classification and segmentation", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540048"]}, {"id": "06f1c079303937f6022e6157e6341c7921fe9428", "title": "Efficient Dense Rigid-Body Motion Segmentation and Estimation in RGB-D Video", "year": "2014", "pdf": ["http://ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf", "http://www.ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0796-3"]}, {"id": "333b877ea761c5c1d4ffa39654fc19bd015e245d", "title": "Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7450190"]}, {"id": "0ecaabbf846bbc78c91bf7ff71b998b61c0082d8", "title": "Automated Visual Fin Identification of Individual Great White Sharks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06323.pdf"], "doi": []}, {"id": "28863c0f3a1aa186bf1c281c73784cf36e2bf361", "title": "Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes", "year": "2014", "pdf": ["http://eprints.whiterose.ac.uk/84865/1/ICPR14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976833", "http://doi.org/10.1109/ICPR.2014.123"]}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "4446924885545b255164b32e42b8375bac699f23", "title": "Object semantic categorization based on ensemble SVM classifiers", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7867229"]}, {"id": "fc2c39b6439623c00b10e8d9826b1c82e8487805", "title": "Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Mandal_Generalized_Semantic_Preserving_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099765", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.282", "http://doi.org/10.1109/CVPR.2017.282"]}, {"id": "92cd808bba43c3702d8cbddde65ee42bf01676d4", "title": "A MultiPath Network for Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02135.pdf"], "doi": []}, {"id": "3bccc5621b14f2e6b07a5936acecdf957724c6ff", "title": "Convolutional Fisher Kernels for RGB-D Object Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7335478", "http://doi.ieeecomputersociety.org/10.1109/3DV.2015.23", "http://doi.org/10.1109/3DV.2015.23"]}, {"id": "0b67879b1d5db9da12490b41b4f52d12626e87bc", "title": "The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics", "year": "2012", "pdf": ["http://ijr.sagepub.com/content/31/8/927.full.pdf"], "doi": ["https://doi.org/10.1177/0278364912445831"]}, {"id": "98b4bf8cf8890f50b12e4fabe78bafd687a598c2", "title": "Semantic Labeling Based Vehicle Detection in Aerial Imagery", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354178"]}, {"id": "e03a2299caf2febcc7b87ee4e61e78ad8cb24e45", "title": "Combined Holistic and Local Patches for Recovering 6D Object Pose", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265469"]}, {"id": "26eadb307d62ab28713931beb8be9ff0f04c6ea0", "title": "Synthetic Viewpoint Prediction", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801548", "http://doi.ieeecomputersociety.org/10.1109/CRV.2016.58", "http://doi.org/10.1109/CRV.2016.58"]}, {"id": "55d01b7314d78fe3bc5ae03b6e414ecba14188f8", "title": "Cognitive Inspired WOR Framework to Reveal Image Semantics, for Efficient Content Based Image Retrieval", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2709034"]}, {"id": "05e9e85b5137016c93d042170e82f77bb551a108", "title": "A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Perazzi_A_Benchmark_Dataset_CVPR_2016_paper.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_poster_cvpr_2016.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_supplementary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780454", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.85", "http://doi.org/10.1109/CVPR.2016.85"]}, {"id": "64bff565c83c6ce3fac783d8d67191af99803701", "title": "Learning to Co-Generate Object Proposals with a Deep Structured Network", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/217984/files/HayderHeSalzmannCVPR16.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.281", "http://doi.org/10.1109/CVPR.2016.281"]}, {"id": "66dcc6771e35068a1ea2f6e6f4cdb9a40a4df450", "title": "A Linear Approximation to the chi^2 Kernel with Geometric Convergence", "year": "2012", "pdf": ["https://arxiv.org/pdf/1206.4074.pdf"], "doi": []}, {"id": "dbf2d57def648d1dae7717c92a32ff02157e5cb5", "title": "RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01054.pdf"], "doi": []}, {"id": "2284ba28bd3b1afaf06afb8c2a94638e350b3ecb", "title": "Boosting Object Proposals: From Pascal to COCO", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01226.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410538", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.181", "http://doi.org/10.1109/ICCV.2015.181"]}, {"id": "174b6d661b96840e27cd9435c2dbb8e538b2c8a6", "title": "Progressive Representation Adaptation for Weakly Supervised Object Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.04647.pdf"], "doi": []}, {"id": "b95cdaaa0d6c191bcc8169ce555219ad545258fb", "title": "Online streaming feature selection: a minimum redundancy, maximum significance approach", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10044-018-0690-7"]}, {"id": "0f780a8cb09627bec41000345c2771df2853224a", "title": "Automatic inspection of aeronautic components", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-017-0839-1"]}, {"id": "c1206330ba57a27fd0acc29dd39825bbf2d91060", "title": "A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization", "year": "2014", "pdf": ["http://www.stat.ucla.edu/~yuille/Pubs10_12/PartImportance_IJCV2014_online.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0705-9"]}, {"id": "4c500c84e16e5ebb50b33f9bcff36854e5131c16", "title": "All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1711.04450.pdf"], "doi": []}, {"id": "02f86370fd467f0d03948a94a346034d8a111ffd", "title": "Semantic Video Retrieval Using High Level Context", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/02f8/6370fd467f0d03948a94a346034d8a111ffd.pdf"], "doi": []}, {"id": "d111faa1990f80e3351ea1eef0e5fc177d4e44b4", "title": "Iteratively Training Look-Up Tables for Network Quantization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05355.pdf"], "doi": []}, {"id": "165c27a4bfb56562c807279bef9d15f1bced5ca0", "title": "Scene parsing using inference Embedded Deep Networks", "year": "2016", "pdf": ["http://www.adv-ci.com/publications/2016_PR_Bu.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.01.027"]}, {"id": "f348d23a88fd81e05585897629f2f230fcfe77c7", "title": "Transfer Learning of Deep Neural Networks for Visual Collaborative Maritime Asset Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8537839"]}, {"id": "87fe38a79ee12531bb618d4006a476b3a5256f3e", "title": "Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02426.pdf"], "doi": []}, {"id": "d8b8e165279ca2091d5af1440ed974db4792250f", "title": "Mean Response-Time Minimization of a Soft-Cascade Detector", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ad73/ff39869e223dba6e0ee94481b6c32766df86.pdf"], "doi": []}, {"id": "0f6a2ea69c325bcbfca85fb05cb5f542873b1bf8", "title": "Food Recognition and Detection with Minimum Supervision", "year": "2016", "pdf": [], "doi": []}, {"id": "df8aee8aef6f0c71f968979318dafcd53da04bdc", "title": "Bending the Curve: Improving the ROC Curve Through Error Redistribution", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06652.pdf"], "doi": []}, {"id": "70918453e9f147747b7a37d9159c8c1515a55ae4", "title": "Visual object tracking via the local soft cosine similarity", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2018.03.026"]}, {"id": "1876095a9387a84e594d81675c9c2c17cb10f7cf", "title": "Accurate segmentation of complex document image using digital shearlet transform with neutrosophic set as uncertainty handling tool", "year": "2017", "pdf": ["http://fs.gallup.unm.edu/neut/AccurateSegmentationOfComplex.pdf"], "doi": ["http://doi.org/10.1016/j.asoc.2017.08.005"]}, {"id": "ad52d047a44f20416f9dd6655cef54169d481454", "title": "Perceptual modeling in the problem of active object recognition in visual scenes", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.007"]}, {"id": "e096b11b3988441c0995c13742ad188a80f2b461", "title": "DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04702.pdf"], "doi": []}, {"id": "56e95fa26fb417776824e5adf6d6d511e5b30110", "title": "Object and Action Classification with Latent Window Parameters", "year": "2013", "pdf": ["http://homepages.inf.ed.ac.uk/hbilen/assets/pdf/Bilen14.pdf", "http://www.cse.iitk.ac.in/users/cs365/2014/_papers/bilen-namboodri-vanGool-13_object-action-classify-latent-windows.pdf", "http://www.cse.iitk.ac.in/users/vinaypn/papers/bilen2013ijcv.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0646-8"]}, {"id": "e7df750805d6c025d0a1a74a05a83bcf8cc63dd7", "title": "Assessment of crowdsourcing and gamification loss in user-assisted object segmentation", "year": "2015", "pdf": ["http://upcommons.upc.edu/bitstream/handle/2117/81293/asknseek.pdf;jsessionid=469B72384B7C56D4A331D68A53942294?sequence=1"], "doi": ["https://doi.org/10.1007/s11042-015-2897-6"]}, {"id": "85eedee59aca5f2a591265a2173cf3a2799cdc94", "title": "Action and Event Recognition with Fisher Vectors on a Compact Feature Set", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751336"]}, {"id": "3463aeda3a8d33bc88d8383cc4ad451a6775c75a", "title": "Understanding Indoor Scenes Using 3D Geometric Phrases", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/choi_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a033.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Choi_Understanding_Indoor_Scenes_2013_CVPR_paper.pdf", "https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41340.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618856", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.12", "http://doi.org/10.1109/CVPR.2013.12"]}, {"id": "70b420850e16ec2afe42d5c0006742d9045b3e7f", "title": "If You Can't Beat Them, Join Them: Learning with Noisy Data", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806231"]}, {"id": "985b6a10c1bb9c8908d6d299c7ab0bba76df2259", "title": "Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Bilinski_Dense_Decoder_Shortcut_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578788", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00690", "http://doi.org/10.1109/CVPR.2018.00690"]}, {"id": "82451d0ae2e0154b5f9cd096af199c35319e911a", "title": "Image spam filtering using convolutional neural networks", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1168-8"]}, {"id": "8ff6294535acf46abf523b879f20685de0692a8c", "title": "Bayes Risk for Large Scale Hierarchical Top-K Image Classification", "year": "2013", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/153936/eth-6877-01.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.3929/ethz-a-009767867"]}, {"id": "d97224063697392f073e467005e89973d2be7d65", "title": "Recherche de motifs fr\u00e9quents dans une base de cartes combinatoires. (Frequent pattern discovery in combinatorial maps databases)", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/02d1/8e600804a1a6ff354856d8dcb80ceb4c8a43.pdf"], "doi": []}, {"id": "74a1336f1fbc8b7bb3b6e159711af1a91336ce22", "title": "An overview of traffic sign detection methods", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/74a1/336f1fbc8b7bb3b6e159711af1a91336ce22.pdf"], "doi": []}, {"id": "e33bc0cd79d92d6868989a29c3ab06b75f808590", "title": "Deep Nets: What have they ever done for Vision?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04025.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "14d1a458f49e251cbbab34349e379469300a2bae", "title": "Scene Parsing with Object Instances and Occlusion Ordering", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tighe_Scene_Parsing_with_2014_CVPR_paper.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909874", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.479", "http://doi.org/10.1109/CVPR.2014.479"]}, {"id": "a6cd743c29667ab5baef9d66d6558247b1cd00b0", "title": "New in-situ training image and one-shot detection model without adaptation GENETIM detection model for synset bottle", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a6cd/743c29667ab5baef9d66d6558247b1cd00b0.pdf"], "doi": []}, {"id": "9b8746e9480c3bdcaa6efca33096369422c624aa", "title": "Algae Detection Using Computer Vision and Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10847.pdf"], "doi": []}, {"id": "3325860c0c82a93b2eac654f5324dd6a776f609e", "title": "2D Human Pose Estimation: New Benchmark and State of the Art Analysis", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909866"]}, {"id": "896e2776174dcb86d311789ab83a266151d0595b", "title": "A Novel Performance Evaluation Methodology for Single-Target Trackers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01313.pdf"], "doi": []}, {"id": "bf26ccc92bca086195c5f250aef2e409a1c7cd85", "title": "Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8215524", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2017.61", "http://doi.org/10.1109/ICDM.2017.61"]}, {"id": "ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1", "title": "An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff3a/9545e73adea5275a1c7c71c5e3fe2e35a9a1.pdf"], "doi": []}, {"id": "21d1225296aad388406824eb113715c4b90ed3da", "title": "Dirichlet-Based Concentric Circle Feature Transform for Breast Mass Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7372146", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2015.50", "http://doi.org/10.1109/ICTAI.2015.50"]}, {"id": "3f0b0ffe315ee111fc028561ec4ecf2c93f94a05", "title": "Pose Normalization Network for Object Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f0b/0ffe315ee111fc028561ec4ecf2c93f94a05.pdf"], "doi": []}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "6a405e7284ff7e2127a241d60646b4abd3da92f2", "title": "Generate To Adapt : Unsupervised Domain Adaptation using Generative Adversarial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "c0e551acb063c9cd73dea28ab8963f850b6f1148", "title": "A Comparison of Techniques based on Image Classification and Object Detection to Count Cars and Non-empty Stalls in Parking Spaces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0e5/51acb063c9cd73dea28ab8963f850b6f1148.pdf"], "doi": []}, {"id": "8b45a87f3dfc8eccd745161effbf2457a9097e6a", "title": "WEAKLY SUPERVISED SEMANTIC SEGMENTATION 3 priors can give good pixel labelling results", "year": "2017", "pdf": [], "doi": []}, {"id": "25d75339720787e7003f2f103cf38cee8175972a", "title": "Optimistic and Pessimistic Neural Networks for Scene and Object Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07982.pdf"], "doi": []}, {"id": "12d9a4233a16ea08fbb1de853b6a97b4f4952c23", "title": "Tractable Structured Prediction using the Permutohedral Lattice", "year": "2017", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-01.pdf?isAllowed=y&sequence=1", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-02.pdf?isAllowed=y&sequence=2"], "doi": ["https://doi.org/10.3929/ethz-a-010882665"]}, {"id": "33d101fe276fd5e6220c9b40c33e1a1d1389e5bb", "title": "DOC: DEEP OCCLUSION ESTIMATION FROM A SIN-", "year": "2016", "pdf": [], "doi": []}, {"id": "c6c691b772822881c5c52b779100928f0d54fdd7", "title": "Using Visual Saliency to Improve Human Detection with Convolutional Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "11a3084768f035c824662a85a348f02466693d2a", "title": "Lifting Object Detection Datasets into 3D", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.06465.pdf"], "doi": []}, {"id": "4be10db13a9210e078d78a4a072c569d9bbd9939", "title": "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06098.pdf"], "doi": []}, {"id": "18a849b1f336e3c3b7c0ee311c9ccde582d7214f", "title": "Efficiently Scaling Up Crowdsourced Video Annotation A Set of Best Practices for High Quality , Economical Video Labeling", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/18a8/49b1f336e3c3b7c0ee311c9ccde582d7214f.pdf"], "doi": []}, {"id": "13e424d502bf539108ad6f5cc877cfb1255dbee0", "title": "Improving Vision-Based Self-Positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045914"]}, {"id": "1dbd7653ede6af15d539f64cb2128752ca029e44", "title": "Hollywood 3D: Recognizing Actions in 3D Natural Scenes", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619280"]}, {"id": "f4c45108cb41051010d8a5175b8da23eb246c967", "title": "Improving Image Captioning by Leveraging Knowledge Graphs", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658870"]}, {"id": "1b3ee5455956a40c6e9e09ccda0f4fb162838629", "title": "The Recognition of License Plate Restrictions Based on Faster R-CNN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b3e/e5455956a40c6e9e09ccda0f4fb162838629.pdf"], "doi": []}, {"id": "5c45a1abc51fe059987bcfba19b1d5076a8d9afb", "title": "Autonomous Object Category Learning for Service Robots Using Internet Resources", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c45/a1abc51fe059987bcfba19b1d5076a8d9afb.pdf"], "doi": []}, {"id": "4a31b3fcc346bf3235efe1c0fb310833570cef27", "title": "Learning Intelligent Dialogs for Bounding Box Annotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579054"]}, {"id": "ed62a56b81511d7fcf6d247014987163d9668982", "title": "\"What happens if...\" Learning to Predict the Effect of Forces in Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05600.pdf"], "doi": []}, {"id": "29aa3dc15450e6eb46c34f30f0e224e5ea16615e", "title": "Sketch Me That Shoe", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_Sketch_Me_That_CVPR_2016_paper.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/hsiao_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yu_Sketch_Me_That_CVPR_2016_paper.pdf", "https://www.eecs.qmul.ac.uk/~qian/SketchMeThatShoe.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780462", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.93", "http://doi.org/10.1109/CVPR.2016.93"]}, {"id": "1999d5e0700bf8fa50bb1bab5b981bda1d111a4f", "title": "Monocular Road Terrain Detection by Combining Visual and Spatial Information", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/73b1/10df4809d0a015f90fa6e7a7dce351bcc52e.pdf", "https://www.researchgate.net/profile/Jannik_Fritsch/publication/261073577_Monocular_Road_Terrain_Detection_by_Combining_Visual_and_Spatial_Information/links/5475ef240cf29afed612e5a8.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6766705", "http://doi.org/10.1109/TITS.2014.2303899"]}, {"id": "34072c31c2c778df471c9f0c43ba6198dfd0db32", "title": "Arbitrary Category Classification of Websites Based on Image Content", "year": "2015", "pdf": ["http://users.ics.aalto.fi/juha/papers/ELM2014.pdf", "http://www.engineering.uiowa.edu/sites/default/files/files/newpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7083681", "http://doi.org/10.1109/MCI.2015.2405317"]}, {"id": "d23ac99cdab20a9a3eca2784a5b262649c717988", "title": "Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02753.pdf"], "doi": []}, {"id": "22cf367d14e646914cc959bbcd402df0c20cd0dc", "title": "Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04024.pdf"], "doi": []}, {"id": "c9d73438bf5e66bd0c4f512c5a4e53c3e33e721e", "title": "Adding spatial distribution clue to aggregated vector in image retrieval", "year": "2018", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0247-0?site=jivp-eurasipjournals.springeropen.com"], "doi": ["http://doi.org/10.1186/s13640-018-0247-0"]}, {"id": "a74b045f28670e8f85173e0e483581520d667f02", "title": "Object tracking using Langevin Monte Carlo particle filter and locality sensitive histogram based likelihood model", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.cag.2017.07.023"]}, {"id": "c56da136b8d62125009a131f6dc21fcd0dd6a559", "title": "ICDAR2017 Robust Reading Challenge on Text Extraction from Biomedical Literature Figures (DeTEXT)", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270166", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.235", "http://doi.org/10.1109/ICDAR.2017.235"]}, {"id": "02e5372e439c09f8a8ce8c4784b044ce116ca11c", "title": "DeepCorrect: Correcting DNN models against Image Distortions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02406.pdf"], "doi": []}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "5fdbebf417da2427744d2c60f413b5375e68993e", "title": "Discriminative Sub-categorization", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619062"]}, {"id": "32bebe84ffbd4fd81f0e5bb30dbc90774aa3b14b", "title": "Segmentation Results Stimuli Final Saliency Map Ground Truth Constructed Graph CCA", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/32be/be84ffbd4fd81f0e5bb30dbc90774aa3b14b.pdf"], "doi": []}, {"id": "a02e5d8e2a10176dc5e2566e1b492823a0cb6ee2", "title": "A learning framework for higher-order consistency models in multi-class pixel labeling problems", "year": "2014", "pdf": [], "doi": []}, {"id": "383d64b27fb3cdf2beff43f3beb8caac8c21a886", "title": "Detecting activities of daily living in first-person camera views", "year": "2012", "pdf": ["http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12.pdf", "http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12_poster.pdf", "http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12_slides.pdf", "http://vision.ics.uci.edu/papers/PirsiavashR_CVPR_2012_1/PirsiavashR_CVPR_2012_1.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w06-cagdas.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/dinesh-expt.pdf", "http://www.ics.uci.edu/~dramanan/papers/ADL_2012.pdf", "https://www.cs.cmu.edu/~deva/papers/ADL_2012.pdf", "https://www.csee.umbc.edu/~hpirsiav/papers/adl_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248010", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248010", "http://doi.org/10.1109/CVPR.2012.6248010"]}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "64c1158a4061882d610f1cffd5ddb1e8fc9a74b4", "title": "Gated Feedback Refinement Network for Dense Image Labeling", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Islam_Gated_Feedback_Refinement_CVPR_2017_paper.pdf", "http://www.cs.umanitoba.ca/~ywang/papers/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100001", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.518", "http://doi.org/10.1109/CVPR.2017.518"]}, {"id": "284be8be0c6bedc36dfe43229bc84345ab0aedc2", "title": "Faster Training of Mask R-CNN by Focusing on Instance Boundaries", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07069.pdf"], "doi": []}, {"id": "be2d326fa588b4ffd1d8d3d4408ae680e1a26277", "title": "JOURNA A Survey on Modern Era \u2019 s Online Object Tracking Algorithms", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/be2d/326fa588b4ffd1d8d3d4408ae680e1a26277.pdf"], "doi": []}, {"id": "2a2232f2972191a0606d588aa4f13c9f27d1972d", "title": "InstanceCut: From Edges to Instances with MultiCut", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08272.pdf"], "doi": []}, {"id": "029cabb6f3f6a824590e735feb1d8557646db8a6", "title": "One-Bit Object Detection: On learning to localize objects with minimal supervision", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.1024.pdf"], "doi": []}, {"id": "fd23dda0abe2d6a3ae0c8253c89110364cdecbc9", "title": "Deep Learning for People Detection on Beach Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575616", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2018.00045", "http://doi.org/10.1109/BRACIS.2018.00045"]}, {"id": "c3c4f0caf1b42b6466306360c4ebe16f66489df0", "title": "Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11266.pdf"], "doi": []}, {"id": "03fd6774f57aaed9320060e4527121c59e9eca2b", "title": "Intrinsic spatial pyramid matching for deformable 3D shape retrieval", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-013-0041-9"]}, {"id": "304aa9bfd6bc32d3d87abce6a229d973270bbd73", "title": "Fast Neural Cell Detection Using Light-Weight SSD Neural Network", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w8/papers/Yi_Fast_Neural_Cell_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014853", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.119", "http://doi.org/10.1109/CVPRW.2017.119"]}, {"id": "c8ba499e8d8daa32637885f03137f41d61023bf9", "title": "Weak supervision for detecting object classes from activities", "year": "2017", "pdf": ["https://ps.is.tue.mpg.de/uploads_file/attachment/attachment/296/weak_supervision_object_detection.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.006"]}, {"id": "cd1a636c1261208084cb8395c877c7ca22c76df1", "title": "Fast Deep Vehicle Detection in Aerial Images", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926624.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926624", "http://doi.org/10.1109/WACV.2017.41"]}, {"id": "101c7305f141145c4d168dfa40284e0ad86a0d9b", "title": "Active Object Localization with Deep Reinforcement Learning", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410643"]}, {"id": "48922520e6de0954a83f26977b2b50b7fbfdcf61", "title": "A survey of sketch-based image retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-018-0953-8"]}, {"id": "c37fe13f94dfc2f3494a35a63336689ce4392135", "title": "MPNET: An End-to-End Deep Neural Network for Object Detection in Surveillance Video", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8365094", "http://doi.org/10.1109/ACCESS.2018.2836921"]}, {"id": "0f8f9253c81fd90fe44d474cc185d4ae2487e5b4", "title": "NYC3DCars: A Dataset of 3D Vehicles in Geographic Context", "year": "2013", "pdf": ["http://nyc3d.cs.cornell.edu/static/paper.pdf", "http://www.cs.cornell.edu/~snavely/publications/papers/nyc3dcars_iccv13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Matzen_NYC3DCars_A_Dataset_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751204", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.99", "http://doi.org/10.1109/ICCV.2013.99"]}, {"id": "e8ffef3d4d74720e766e506e175e533bdc8ee705", "title": "Object Detection Networks on Convolutional Feature Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1504.06066.pdf"], "doi": []}, {"id": "1daf971c087f5e21dbae831231377cbe9bb2f188", "title": "Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619272"]}, {"id": "8d74fbd46f9d5d615e350c4593cbc5b5ca63fa8b", "title": "Data driven visual tracking via representation learning and online multi-class LPBoost learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0388"]}, {"id": "7af667b6c1b4b32f513dd70fe3ef36fcf344a741", "title": "A transfer learning based approach for automated grading of Gliomas using deep Residual Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7af6/67b6c1b4b32f513dd70fe3ef36fcf344a741.pdf"], "doi": []}, {"id": "d9dafc343727db2b6060c868d748f97eff6bac7d", "title": "Improved pedestrian detection using motion segmentation and silhouette orientation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4933-1"]}, {"id": "3b304585d5af0afe98a85d6e0559315fbf3a7807", "title": "An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection", "year": "2013", "pdf": ["http://welcome.isr.ist.utl.pt/img/pdfs/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf", "http://welcome.isr.tecnico.ulisboa.pt/wp-content/uploads/2015/05/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38628-2_34"]}, {"id": "99df9e95b3f3d187636918a65277baf7c98cbfc5", "title": "An efficient subsequence search for video anomaly detection and localization", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-015-2453-4", "https://www.wikidata.org/entity/Q56907428"]}, {"id": "832246357de85108cb910e773c203997448c570a", "title": "Recurrently Target-Attending Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780530"]}, {"id": "74031f12dde0be772a742b96bf5f4c8d9fa41ec7", "title": "Joint Object-Material Category Segmentation from Audio-Visual Cues", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.02220.pdf"], "doi": []}, {"id": "9452d029f5d140aece06619b6fd8e47b070cacd1", "title": "Urban classification by pixel and object-based approaches for very high resolution imagery", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9452/d029f5d140aece06619b6fd8e47b070cacd1.pdf"], "doi": []}, {"id": "7268747251a61d1ce3285baade15c372d4c566d6", "title": "Person Attribute Recognition with a Jointly-Trained Holistic CNN Model", "year": "2015", "pdf": ["http://web-info8.informatik.rwth-aachen.de/media/papers/sudowe_spitzer_leibe_ICCV_LaP_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Sudowe_Person_Attribute_Recognition_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406400", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.51", "http://doi.org/10.1109/ICCVW.2015.51"]}, {"id": "81763bb718dc6630be210c056a250b1c2ed57fd7", "title": "3D Semantic Parsing of Large-Scale Indoor Spaces", "year": "2016", "pdf": ["http://buildingparser.stanford.edu/images/CVPR_2016_poster.pdf", "http://buildingparser.stanford.edu/images/supp_mat.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780539", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.170", "http://doi.org/10.1109/CVPR.2016.170"]}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "a228ba020bd321d29ab24485cb2988a62707fd64", "title": "Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study", "year": "2013", "pdf": ["https://engineering.purdue.edu/RVL/Publications/Srivastava2013.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2013.06.009"]}, {"id": "037f2e9d2d2aa15c3d476f4aa358da96707b4b44", "title": "Square Localization for Efficient and Accurate Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410651"]}, {"id": "bf3aae7293f664d512c0904916d804327af22f52", "title": "STDnet: A ConvNet for Small Target Detection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bf3a/ae7293f664d512c0904916d804327af22f52.pdf"], "doi": []}, {"id": "d6b514a68abff3ab14af9fc0152cd5b28bd0192c", "title": "Instance Segmentation by Deep Coloring", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10007.pdf"], "doi": []}, {"id": "0de46e6768acaa71745406d646573644b975dc62", "title": "Scene-Domain Active Part Models for Object Representation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410644"]}, {"id": "e24792ec2a6cb8971b2f6befb4b97b9fe2d79952", "title": "Bottom-up Object Detection by Grouping Extreme and Center Points", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08043.pdf"], "doi": []}, {"id": "1d7029a974f950de61f3980704956b43f1a06e7b", "title": "Efficient Optimization for Rank-Based Loss Functions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578487"]}, {"id": "22a8b7ca2e6449cad31ae4f71bb3587751087e77", "title": "DeepBox: Learning Objectness with Convolutional Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410642"]}, {"id": "9c4365a56fb3cf41b15712657b15f7422ca0dab2", "title": "A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/9c43/65a56fb3cf41b15712657b15f7422ca0dab2.pdf"], "doi": []}, {"id": "37b9ea1bf5b6ce8ecb656628af3933c64c632c2b", "title": "Transfer Learning for 3 D LiDAR-based Human Classification with a Mobile Robot", "year": "2018", "pdf": [], "doi": []}, {"id": "f79c4bf83371627ba139b61eb427463b93cd687b", "title": "Learning from Few Examples for Visual Recognition Problems", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f79c/4bf83371627ba139b61eb427463b93cd687b.pdf"], "doi": []}, {"id": "084bd219dd239dc4c9a02621a5333d3bc1446566", "title": "DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.00072.pdf"], "doi": []}, {"id": "1c9da6cef6b1be9c116b26dd52c341c0adcf7db2", "title": "Interactive Perception: Leveraging Action in Perception and Perception in Action", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03670.pdf"], "doi": []}, {"id": "549c719c4429812dff4d02753d2db11dd490b2ae", "title": "YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00824.pdf"], "doi": []}, {"id": "e430d1ae3a28ec342f767cdfb19aeb76c20a3f21", "title": "Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8592805"]}, {"id": "3b4ad6b789837a6a878f33c0b7ddb1b1fc7daaf8", "title": "Fine-grained recognition of plants from images", "year": "2017", "pdf": ["https://plantmethods.biomedcentral.com/track/pdf/10.1186/s13007-017-0265-4?site=plantmethods.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s13007-017-0265-4", "https://www.ncbi.nlm.nih.gov/pubmed/29299049"]}, {"id": "f92ceb6875f614bbccb25e4b11ca55353773890f", "title": "Saliency Detection via Boundary Prior and Center Prior", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f92c/eb6875f614bbccb25e4b11ca55353773890f.pdf"], "doi": []}, {"id": "828b73e8a4d539eeae82601b5f5a4392818c6430", "title": "Long-Term Tracking by Decision Making", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/828b/73e8a4d539eeae82601b5f5a4392818c6430.pdf"], "doi": []}, {"id": "2114b25727a21275e88e30dad0423752f6047dae", "title": "Generic Visual Recognition on Non-Uniform Distributions Based on AdaBoost Codebooks", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/cac0/c534e02784a3a873690d213dd8c92b81992f.pdf"], "doi": []}, {"id": "7cb4d30b3bfb0d4b02499c15c7c7a9dfddda8049", "title": "Object Tracking using L 1 / L 2 Sparse Coding and Multi Scale Max Pooling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7cb4/d30b3bfb0d4b02499c15c7c7a9dfddda8049.pdf"], "doi": []}, {"id": "b7efecec654acd8831d045e728b54356c697c9c8", "title": "Learning Semantic Segmentation with Diverse Supervision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354268"]}, {"id": "eacb95e81156c48f4ff7470567ba205225170fa7", "title": "Learning Aerial Image Segmentation From Online Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06879.pdf"], "doi": []}, {"id": "14b311b848b51b7b5345573a289b1cedcbb4d581", "title": "Instance Similarity Deep Hashing for Multi-Label Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02987.pdf"], "doi": []}, {"id": "24ff832171cb774087a614152c21f54589bf7523", "title": "Beat-Event Detection in Action Movie Franchises", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.03755.pdf"], "doi": []}, {"id": "ffd73d1956163a4160ec2c96b3ab256f79fc92e8", "title": "Attributes as Semantic Units between Natural Language and Visual Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03249.pdf"], "doi": []}, {"id": "99c37dba394b100ba8f3d895c0ee0e57d5852347", "title": "Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects", "year": "2014", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2014/papers/Zia_Are_Cars_Just_2014_CVPR_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D2/2014/zia14cvpr.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/cvpr2014zz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909865", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.470", "http://doi.org/10.1109/CVPR.2014.470"]}, {"id": "f6b649023e49a341f042f9a17b2f923db58ccf35", "title": "Feature representation of RGB-D images using joint spatial-depth feature pooling", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2016.04.001"]}, {"id": "f9f86d087e84eaf0e6a09575982aa7b41fa62451", "title": "Image Synthesis for Self-Supervised Visual Representation Learning", "year": "2018", "pdf": [], "doi": ["https://www.base-search.net/Record/6ecfef13a126fd20b941bbb80477b94bd643db70d224a43b1d0b0cb61aa181b1"]}, {"id": "b85c198ce09ffc4037582a544c7ffb6ebaeff198", "title": "Efficient Multiple Instance Metric Learning Using Weakly Supervised Data", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Law_Efficient_Multiple_Instance_CVPR_2017_paper.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2017/mimlca_cvpr_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100113", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.630", "http://doi.org/10.1109/CVPR.2017.630"]}, {"id": "c77c094faf7b1a4e293609a0909c7c50b468675a", "title": "Satyam: Democratizing Groundtruth for Machine Vision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03621.pdf"], "doi": []}, {"id": "2a5667702b0f1ff77dde8fb3e2e10d4e05e8de9d", "title": "Scene Parsing through ADE20K Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Scene_Parsing_Through_CVPR_2017_paper.pdf", "http://people.csail.mit.edu/bzhou/publication/scene-parse-camera-ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100027", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.544", "http://doi.org/10.1109/CVPR.2017.544"]}, {"id": "a422c2bd9030c8a2c89b6db79be2743c4a4609fb", "title": "Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02886.pdf"], "doi": []}, {"id": "46a1172c784c3741e79781ef2353209b08dbea67", "title": "YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition", "year": "2013", "pdf": ["http://www.cs.utexas.edu/users/ml/papers/guadarrama.iccv13.pdf", "http://www.cs.utexas.edu/users/ml/posters/guadarrama.iccv13.pdf", "http://www.eecs.berkeley.edu/~sguada/pdfs/2013-ICCV-YouTube2Text-final.pdf", "https://www.cs.utexas.edu/~vsub/pdf/YouTube2Text_Recognizing_and_2013_ICCV_paper.pdf", "https://www.icsi.berkeley.edu/pubs/vision/youtube2text13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751448", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.337", "http://doi.org/10.1109/ICCV.2013.337"]}, {"id": "670b10569c5f978ee70d99cf8c14ad9cabb9d454", "title": "Masked face detection via a modified LeNet", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.056"]}, {"id": "4acf31294e940d85a4eea56c244205e3a66d8b8e", "title": "Improving Product Classification Using Images", "year": "2011", "pdf": ["http://talukdar.net/papers/ImageText-ICDM2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6137235", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2011.79", "http://doi.org/10.1109/ICDM.2011.79"]}, {"id": "057f5ffda59a3412f1e62159e96f84faa352628e", "title": "Tracking with scattering descriptor", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2013.0124"]}, {"id": "4404a99e2f6db3e703609168a3595e0fbdeabc38", "title": "Online Video SEEDS for Temporal Window Objectness", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Van_Den_Bergh_Online_Video_SEEDS_2013_ICCV_paper.pdf", "http://www.mvdblive.org/research/videoseeds.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01056.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751156", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.54", "http://doi.org/10.1109/ICCV.2013.54"]}, {"id": "59ee0f67bcf2d8ea0bbbfcbc71159725fc3a7059", "title": "Object Detection with Appearance-based Mixture Models Anonymous CVPR submission", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/59ee/0f67bcf2d8ea0bbbfcbc71159725fc3a7059.pdf"], "doi": []}, {"id": "e478c322de923337627487d8a688f5922b45b2ff", "title": "Automatic Garage Door Opening Using License Plate Recognition and Fingerprint Verification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e478/c322de923337627487d8a688f5922b45b2ff.pdf"], "doi": []}, {"id": "8a3b481d8e06b4acf6e95d8bc2484016f5862668", "title": "Text Detection in Traffic Informatory Signs Using Synthetic Data", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270075", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.144", "http://doi.org/10.1109/ICDAR.2017.144"]}, {"id": "7c594c0b9482624745dd95767f3eebde1ee7f043", "title": "Representing Visual Scenes for Robot Control", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7c59/4c0b9482624745dd95767f3eebde1ee7f043.pdf"], "doi": []}, {"id": "0ceda9dae8b9f322df65ca2ef02caca9758aec6f", "title": "Context-Aware CNNs for Person Head Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410688"]}, {"id": "5f0e9cc18374a670dfea4698424c9d48494f3093", "title": "Online Domain Adaptation for Multi-Object Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.00776.pdf"], "doi": []}, {"id": "d47d72afc590f5b96117a5227d45157135da21ad", "title": "Attribute-based knowledge transfer learning for human pose estimation", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2012.05.032"]}, {"id": "05db46c7745c360fa5938ee204c81efdcc84c1da", "title": "An Empirical Evaluation of Current Convolutional Architectures\u2019 Ability to Manage Nuisance Location and Scale Variability", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.06795.pdf"], "doi": []}, {"id": "0d4cdadd765c3003b0bd5f762b84bef93408f548", "title": "Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909618"]}, {"id": "5d16ce0c66cd87dd48cb8c53f5b6a7ee73d33abb", "title": "Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797075", "http://doi.org/10.1109/DICTA.2016.7797075"]}, {"id": "050e5b4043009e54dff9319877fe947885db2d6e", "title": "Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780764", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.395", "http://doi.org/10.1109/CVPR.2016.395"]}, {"id": "926dd1c4db38356ac5bf87c1a4c6b93625f9a850", "title": "Pulling Actions out of Context: Explicit Separation for Effective Combination", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578834"]}, {"id": "b705ca751a947e3b761e2305b41891051525d9df", "title": "Exploring Context with Deep Structured Models for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.03183.pdf"], "doi": []}, {"id": "be48b5dcd10ab834cd68d5b2a24187180e2b408f", "title": "Constrained Low-Rank Learning Using Least Squares-Based Regularization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.04870.pdf"], "doi": []}, {"id": "b2f63863e73a8565895ca3d9d7d6a1e10a7695b1", "title": "Efficient Neural Network Compression via Transfer Learning for Industrial Optical Inspection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b2f6/3863e73a8565895ca3d9d7d6a1e10a7695b1.pdf"], "doi": []}, {"id": "044ae9738c2445d4fda30fcd6c289eddf8b3add9", "title": "Multiple Instance Learning: A Survey of Problem Characteristics and Applications", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.03365.pdf"], "doi": []}, {"id": "2ba540ca70c7dee81e13768792aa7571952987f6", "title": "Drivable Road Detection Based on Dilated FPN with Feature Aggregation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8372075", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00172", "http://doi.org/10.1109/ICTAI.2017.00172"]}, {"id": "6c9f45c76b4f96fe66d8e1d7b31f89b7cc6caa44", "title": "DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10295.pdf"], "doi": []}, {"id": "a0ae4ffe252f32514240cf6d82d52538de5fb78c", "title": "AN ALGORITHM FOR PEDESTRIAN DETECTION IN MULTISPECTRAL IMAGE SEQUENCES", "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0ae/4ffe252f32514240cf6d82d52538de5fb78c.pdf"], "doi": []}, {"id": "115e8a4f76a57b893c985ea4f7530b90d071679c", "title": "FSSD: Feature Fusion Single Shot Multibox Detector", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00960.pdf"], "doi": []}, {"id": "92f2639dbd9f7c4284b7012809e4d2c407834774", "title": "Point-based Medialness 2 D Shape Description and Identification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/92f2/639dbd9f7c4284b7012809e4d2c407834774.pdf"], "doi": []}, {"id": "4ace7c8edd9467c7d5bfa00e942531e7b889e650", "title": "Depth-Based Hand Pose Estimation: Data, Methods, and Challenges", "year": "2015", "pdf": ["http://vision.ics.uci.edu/papers/SupancicRYSR_ICCV_2015/SupancicRYSR_ICCV_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Supancic_Depth-Based_Hand_Pose_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410574", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.217", "http://doi.org/10.1109/ICCV.2015.217"]}, {"id": "4c454fda214e00c9cba4bb759da78949a4130873", "title": "Specialization of a Generic Pedestrian Detector to a Specific Traffic Scene by the Sequential Monte-Carlo Filter and the Faster R-CNN", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4c45/4fda214e00c9cba4bb759da78949a4130873.pdf"], "doi": []}, {"id": "f541dac9d0d49cadb3cfd018e87b26e03e3f13aa", "title": "Trio Constrained Adaptive Noise Removal ( TCANR ) Mechanism for Salt and Pepper Noise in Image Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f541/dac9d0d49cadb3cfd018e87b26e03e3f13aa.pdf"], "doi": []}, {"id": "aa2ad3df24d8d8c4a4d2fe85f0d4e635d595f0a2", "title": "PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c029/edca476ddda4050c3c67748056c6189cd1e3.pdf"], "doi": []}, {"id": "d250e57f6b7e06bb1dac41c8b89700086a85999e", "title": "Self-Supervised Generalisation with Meta Auxiliary Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08933.pdf"], "doi": []}, {"id": "de35ea60396629b2d1ceb73df56a97ed21012680", "title": "Robust object tracking via multi-scale patch based sparse coding histogram", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-016-3289-2"]}, {"id": "a0e286f3c6a72c857ffd03bd8ab9a9f9b98c4432", "title": "AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04452.pdf"], "doi": []}, {"id": "19339e816d8006ad462868b01812b03eb463ead1", "title": "Collective activity localization by spatiality preservation search", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1080/01691864.2016.1172506", "https://www.wikidata.org/entity/Q58025855"]}, {"id": "899e7ff67aa2630edc8776758cc5d65823f099c1", "title": "G-CNN: Object Detection via Grid Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097417", "http://doi.org/10.1109/ACCESS.2017.2770178"]}, {"id": "139ab79a0aae5d4346f907b7b29288d09ef373fa", "title": "A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08412.pdf"], "doi": []}, {"id": "94780b00dc2807ec507ae91500b622ec7a8ddb12", "title": "Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06295.pdf"], "doi": []}, {"id": "fa496716a5b8520e94a0126b5baa4f636623c997", "title": "Revisiting Knowledge Transfer for Training Object Class Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06128.pdf"], "doi": []}, {"id": "c2cb4da617168c76c4560a01de8b5e68b5250749", "title": "FineTag: Multi-attribute Classification at Fine-grained Level in Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07124.pdf"], "doi": []}, {"id": "87d5b53580ca5f77ccc3ff157337ef3456308943", "title": "Augmented Autoencoders for object orientation estimation trained on synthetic RGB images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/87d5/b53580ca5f77ccc3ff157337ef3456308943.pdf"], "doi": []}, {"id": "eb2333a759788903848c49111a03c4c00d188e70", "title": "Color-based and Rotation Invariant Self-similarities", "year": "2017", "pdf": ["http://www.scitepress.org/Papers/2017/61075/61075.pdf"], "doi": ["https://doi.org/10.5220/0006107503440351"]}, {"id": "af9cc1767f50f63291d7ca9ab709f6849cd1e46c", "title": "Graph-Driven Diffusion and Random Walk Schemes for Image Segmentation.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/af9c/c1767f50f63291d7ca9ab709f6849cd1e46c.pdf"], "doi": []}, {"id": "4fe91feab83d947a0d3bd85adcf18ab1b3d9e05f", "title": "Transductive People Tracking in Unconstrained Surveillance", "year": "2016", "pdf": ["http://imagelab.ing.unimore.it/Pubblicazioni/pubblicazioni/2015TCSVT.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7067436", "http://doi.org/10.1109/TCSVT.2015.2416555"]}, {"id": "8eaade06b75dac977574d05ce1058b86df059d47", "title": "Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation", "year": "2014", "pdf": ["http://people.eecs.berkeley.edu/~sgupta/pdf/ijcv14a.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0777-6"]}, {"id": "b9b21cfa7de32677151571ab44d27d2d246b7a03", "title": "Towards Explanation of DNN-based Prediction with Guided Feature Inversion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00506.pdf"], "doi": []}, {"id": "4152d2c8585f7e3f85d3b3d84036171de104cbd7", "title": "Rethinking ImageNet Pre-training", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08883.pdf"], "doi": []}, {"id": "b31f37fd71b7b45e6fd8978960e271a7db1ee212", "title": "DICTING IMAGE ROTATIONS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b31f/37fd71b7b45e6fd8978960e271a7db1ee212.pdf"], "doi": []}, {"id": "149f3cc167b046dc790b1f4f1c48eeb31e898403", "title": "A study of vehicle detector generalization on U.S. highway", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0669.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795567", "http://doi.org/10.1109/ITSC.2016.7795567"]}, {"id": "1a1654456decd116f4ca84c98006dfda0a8a3134", "title": "INTEGRATED VISUAL INFORMATION FOR MARITIME SURVEILLANCE", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1a16/54456decd116f4ca84c98006dfda0a8a3134.pdf"], "doi": []}, {"id": "3e00dd86c084d8680409c65c1a48f1b3aa864eb7", "title": "Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1801.02439.pdf"], "doi": []}, {"id": "1e5edbd39b4c61f785515e117a74e2d280aefbe7", "title": "The urrent tate and TRL ssessment of eople racking echnology for ideo urveillance pplications", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1e5e/dbd39b4c61f785515e117a74e2d280aefbe7.pdf"], "doi": []}, {"id": "2e1f0b522014c942197e51b556eeb48b6ad66cda", "title": "Automatic object classification using motion blob based local feature fusion for traffic scene surveillance", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-012-1296-7"]}, {"id": "25858dc59faf2630bf0eefe23297ce262370cff0", "title": "Monitoring Giraffe Behavior in Thermal Video", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046812"]}, {"id": "e545f1c06799bfd2bd5f7eaed085fd60a388202f", "title": "A top-down manner-based DCNN architecture for semantic image segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e545/f1c06799bfd2bd5f7eaed085fd60a388202f.pdf"], "doi": []}, {"id": "7b3a63d030d03e536ddcbc217bc8d6fd630e3b53", "title": "xView: Objects in Context in Overhead Imagery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07856.pdf"], "doi": []}, {"id": "4a6049e1926cc8e574301cfb229599cdc0a64e62", "title": "Characterizing the performance of an image-based recognizer for planar mechanical linkages in textbook graphics and hand-drawn sketches", "year": "2015", "pdf": ["http://vdel.me.cmu.edu/publications/2015cag/paper.pdf"], "doi": ["http://doi.org/10.1016/j.cag.2015.06.002"]}, {"id": "ec6f1a4b9367675833f0111c44a22ba217fcbd23", "title": "Visual Tracking via Constrained Incremental Non-negative Matrix Factorization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045563", "http://doi.org/10.1109/LSP.2015.2404856"]}, {"id": "5950512e21114236208b9eaeebc9a09735e367a6", "title": "Master research Internship Internship report Segmentation and recognition of symbols for printed and handwritten music scores", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5950/512e21114236208b9eaeebc9a09735e367a6.pdf"], "doi": []}, {"id": "c7780cff11068fecb322a43e459c56267a88aee7", "title": "DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion", "year": "2017", "pdf": [], "doi": []}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"], "doi": []}, {"id": "19b6b0649cc669791c799c52fc56bdc556f06916", "title": "Efficient Model Evaluation with Bilinear Separation Model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045964"]}, {"id": "cf58f90e14b49ce35548d89c7339b7fc4db9ba4f", "title": "Generating Diverse Image Datasets with Limited Labeling", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967285"]}, {"id": "4ff486644be5e451784d6ae83f8073c8320fa974", "title": "Visual Tracking with Convolutional Neural Network", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7379494", "http://doi.org/10.1109/SMC.2015.362"]}, {"id": "a43f460f6c1abbe8eb0097594df6eafc0f651d49", "title": "Saliency-based object recognition in video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a43f/460f6c1abbe8eb0097594df6eafc0f651d49.pdf"], "doi": []}, {"id": "b4df58f1fd8a3bd0815e7fb957f7f07fddd77338", "title": "Rethinking the sGLOH Descriptor", "year": "2018", "pdf": ["http://cvg.dsi.unifi.it/colombo_now/CC/Public/sGLOH2_TPAMI_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911291", "http://doi.org/10.1109/TPAMI.2017.2697849", "https://www.ncbi.nlm.nih.gov/pubmed/28459683", "https://www.wikidata.org/entity/Q38811217"]}, {"id": "ceee9ba72a021ae5604db04a93fdcff421d60216", "title": "Encoder Based Lifelong Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01920.pdf"], "doi": []}, {"id": "c4a0e89793961dc486964802df55ae73fbba60ee", "title": "Soccer: Who Has the Ball? Generating Visual Analytics and Player Statistics", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w34/Theagarajan_Soccer_Who_Has_CVPR_2018_paper.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/FINAL-published-soccer-ball-generating.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575390", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00227", "http://doi.org/10.1109/CVPRW.2018.00227"]}, {"id": "2622d2467f19bc60427f8ea495515e7da82316c9", "title": "Tell Me Where to Look: Guided Attention Inference Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579058"]}, {"id": "ccee8af5667d1d3bccf30baf2c6f049f031bb5ad", "title": "Mixing Hierarchical Contexts for Object Recognition", "year": "2011", "pdf": ["http://web.ing.puc.cl/~asoto/papers/Peralta-2011.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-25085-9_27"]}, {"id": "c96f012f4915398259e7e223810c57898b5e1a76", "title": "Fast LIDAR-based Road Detection Using Convolutional Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c96f/012f4915398259e7e223810c57898b5e1a76.pdf"], "doi": []}, {"id": "7142e659d6466717cdb8a242d8e34fce176b3f4a", "title": "Improved scene identification and object detection on egocentric vision of daily activities", "year": "2017", "pdf": ["http://crcv.ucf.edu/news&info/DefenseBooklet_FA17.pdf", "http://crcv.ucf.edu/papers/cviu2016-gonzalo.pdf", "http://vision.eecs.ucf.edu/papers/cviu2016-gonzalo.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.10.016"]}, {"id": "3b483c986b973856e016f761ec312c1a339766a5", "title": "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578516"]}, {"id": "1281e443d2cf1c1dd71ed3b7b0376d408d0958af", "title": "SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks", "year": "2015", "pdf": ["http://www.cs.cornell.edu/~xhuang/publications/salicon_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Huang_SALICON_Reducing_the_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410395", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.38", "http://doi.org/10.1109/ICCV.2015.38"]}, {"id": "71f7be73a575f3689b0137446289d02462e1c5b0", "title": "Adaptive Multi-Scale Information Flow for Object Detection.", "year": "2018", "pdf": ["http://bmvc2018.org/contents/papers/0266.pdf"], "doi": []}, {"id": "581fb0f0405c7f0e60610d88ceaceb9af44d8569", "title": "Final Report : Smart Trash Net : Waste Localization and Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581f/b0f0405c7f0e60610d88ceaceb9af44d8569.pdf"], "doi": []}, {"id": "eaa7c6293c9d858bd4c9897a5dfc7c670f2a8671", "title": "Distant Vehicle Detection Using Radar and Vision", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10951.pdf"], "doi": []}, {"id": "2cea306754ed83eaf1d0433abbfb05b5a4c4cf48", "title": "BIG-OH: BInarization of gradient orientation histograms", "year": "2014", "pdf": ["http://vgl-ait.org/mdailey/uploads/publication_file/filename/110/Baber-BIG-OH.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.08.006"]}, {"id": "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "title": "Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb2a/b9caa61b021c1cd7aff6d08163768faba99e.pdf"], "doi": []}, {"id": "5a364ecb2d10b637c63b885d27eb372390232277", "title": "Unsupervised Robust Feature-Based Partition Ensembling to Discover Categories", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789641"]}, {"id": "1114c2aba97a5782a48341817811df2438d0fdbf", "title": "Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07498.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "8211c974ec152e79235cb57a03ba2971e913508f", "title": "Multimodal Image Retrieval", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-012-0006-4"]}, {"id": "eb69f89588e9538194750f12bf8c8df6d5301f3b", "title": "Object Tracking by a Combination of Discriminative Global and Generative Multi-Scale Local Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eb69/f89588e9538194750f12bf8c8df6d5301f3b.pdf"], "doi": []}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "d2e8efaa0d095c22455fe4eab260f94994bfb116", "title": "Stand-alone quality estimation of background subtraction algorithms", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.08.005"]}, {"id": "abe9f3b91fd26fa1b50cd685c0d20debfb372f73", "title": "The Pascal Visual Object Classes Challenge: A Retrospective", "year": "2014", "pdf": ["http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc14.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Everingham15/everingham15.pdf", "https://www.research.ed.ac.uk/portal/files/20017166/ijcv_voc14.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0733-5"]}, {"id": "10d3f77225eca1d576268ba84ed83f230a5e47c4", "title": "Crafting a multi-task CNN for viewpoint estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03894.pdf"], "doi": []}, {"id": "a01c7eec51fa901b2526325f563480c152c58ee5", "title": "Contour Box: Rejecting Object Proposals without Explicit Closed Contours", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf", "http://www.cse.cuhk.edu.hk/leojia/papers/contour_iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.234", "http://doi.org/10.1109/ICCV.2015.234"]}, {"id": "3db4bdee7bc03239ef25d23cf8dc14ce5a5300e2", "title": "Sparse Coding for Object Recognition", "year": "2013", "pdf": [], "doi": []}, {"id": "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "title": "The Cityscapes Dataset for Semantic Urban Scene Understanding", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01685.pdf"], "doi": []}, {"id": "04e1c7618e4ef3e16159b27c522ddf94068c4f99", "title": "Reconstructing PASCAL VOC", "year": "2014", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/cvpr14_reconstruct_pascal_slides.pdf", "http://home.isr.uc.pt/~joaoluis/papers/cvpr2014_1.pdf", "http://people.eecs.berkeley.edu/~carreira/papers/cvpr14_reconstruct_pascal_slides.pdf", "http://people.eecs.berkeley.edu/~carreira/papers/cvpr2014_1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vicente_Reconstructing_PASCAL_VOC_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909407", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.13", "http://doi.org/10.1109/CVPR.2014.13"]}, {"id": "ec187cedb69b389d06da26b17d889020e36ba6f6", "title": "ModaNet: A Large-scale Street Fashion Dataset with Polygon Annotations", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240652"]}, {"id": "729f20fa5928514768f4e0d848e74e5eecc33174", "title": "Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270088"]}, {"id": "8ecf9e6428edd33986e8c6a143870e57142fd5a1", "title": "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578516"]}, {"id": "8bb4e1ddfec4c5868c31685b6dfe8673df1d3e38", "title": "What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6990522"]}, {"id": "1fef45786e707e6b9b8517b0403e596ecbdea6a5", "title": "Sketch-based manga retrieval using manga109 dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.04389.pdf"], "doi": []}, {"id": "12660f0defc6580e566c0fa2ac909971d6c6883b", "title": "The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780721", "http://doi.org/10.1109/CVPR.2016.352", "https://www.wikidata.org/entity/Q57840870"]}, {"id": "dc7a6156c90b5e9b0ff3e95413e9139024c460a5", "title": "Semantic Understanding of Scenes Through the ADE20K Dataset", "year": "2016", "pdf": ["http://arxiv.org/pdf/1608.05442", "http://arxiv.org/pdf/1608.05442v1.pdf", "http://bzhou.ie.cuhk.edu.hk/publication/ADE20K_IJCV.pdf", "https://arxiv.org/pdf/1608.05442.pdf", "https://export.arxiv.org/pdf/1608.05442"], "doi": ["https://doi.org/10.1007/s11263-018-1140-0"]}, {"id": "b7ff61c0807d50266fdd3a9770a7d66399b5f087", "title": "Drishti-GS: Retinal image dataset for optic nerve head(ONH) segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6867807"]}, {"id": "58a6eb3584b2f5df2f25d39a218904d510cae516", "title": "The UAVid Dataset for Video Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10438.pdf"], "doi": []}, {"id": "2f4df08d9072fc2ac181b7fced6a245315ce05c8", "title": "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909475"]}, {"id": "dcb6f06631021811091ce691592b12a237c12907", "title": "SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438999", "http://doi.org/10.1109/TMM.2018.2865686"]}, {"id": "127316fbe268c78c519ceb23d41100e86639418a", "title": "CNN Features Off-the-Shelf: An Astounding Baseline for Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.6382.pdf"], "doi": []}, {"id": "e74f9b7f8eec6ba4704c206b93bc8079af3da4bd", "title": "ImageNet Large Scale Visual Recognition Challenge", "year": "2014", "pdf": ["https://dspace.mit.edu/bitstream/1721.1/104944/1/11263_2015_Article_816.pdf", "http://arxiv.org/pdf/1409.0575v1.pdf", "http://dspace.mit.edu/bitstream/handle/1721.1/104944/11263_2015_Article_816.pdf;jsessionid=7277F2E4B792AF15009A8777BCC84DD1?sequence=1", "http://hci.stanford.edu/publications/2015/scenegraphs/imagenet-challenge.pdf", "https://arxiv.org/pdf/1409.0575.pdf", "https://dspace.mit.edu/bitstream/handle/1721.1/104944/11263_2015_Article_816.pdf;jsessionid=D47A767FE49C452E89782919F8DCDCE6?sequence=1"], "doi": ["https://doi.org/10.1007/s11263-015-0816-y", "http://dspace.mit.edu/openaccess-disseminate/1721.1/104944", "https://www.wikidata.org/entity/Q56594393"]}, {"id": "39978ba7c83333475d6825d0ff897692933895fc", "title": "Conditional Random Fields as Recurrent Neural Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410536"]}, {"id": "aa4cc6506e837390486e5b836fb3dac8d15daafa", "title": "ThermalGAN: Multimodal Color-to-Thermal Image Translation for Person Re-identification in Multispectral Dataset", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCVW_2018/papers/11134/Kniaz_ThermalGAN_Multimodal_Color-to-Thermal_Image_Translation_for_Person_Re-Identification_in_Multispectral_ECCVW_2018_paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-11024-6_46"]}, {"id": "562463fafacca4bbe5256e318eb628bf915f4114", "title": "SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797084"]}, {"id": "2c0b510ebf995ef172cb64ed7ce24aa7903dced8", "title": "Learning Rich Features from RGB-D Images for Object Detection and Segmentation", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.5736.pdf"], "doi": []}, {"id": "21a1654b856cf0c64e60e58258669b374cb05539", "title": "You Only Look Once: Unified, Real-Time Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02640.pdf"], "doi": []}, {"id": "38b6540ddd5beebffd05047c78183f7575559fb2", "title": "Selective Search for Object Recognition", "year": "2013", "pdf": ["https://pure.uva.nl/ws/files/19494140/UijlingsIJCV2013.pdf", "http://graphics.cs.cmu.edu/courses/16-824/2016_spring/slides/seg_3.pdf", "http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf", "http://www.cs.cornell.edu/courses/cs7670/2014sp/slides/VisionSeminar14.pdf", "http://www.tpbin.com/Uploads/Subjects/de55b048-461f-4962-b851-fd020c47c982.pdf", "https://staff.fnwi.uva.nl/th.gevers/pub/GeversIJCV2013.pdf", "https://webcourse.cs.technion.ac.il/236815/Spring2016/ho/WCFiles/01_object_proposals_6pp.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0620-5"]}, {"id": "616b246e332573af1f4859aa91440280774c183a", "title": "The Pascal Visual Object Classes Challenge: A Retrospective", "year": "2014", "pdf": ["https://www.pure.ed.ac.uk/ws/files/20017166/ijcv_voc14.pdf", "http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc14.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Everingham15/everingham15.pdf", "https://www.research.ed.ac.uk/portal/files/20017166/ijcv_voc14.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0733-5"]}, {"id": "abe80983d7773b51f1e30c02c50bcbe774c15a12", "title": "PLS/OPLS models in metabolomics: the impact of permutation of dataset rows on the K-fold cross-validation quality parameters.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25382277", "https://doi.org/10.1039/c4mb00414k"]}, {"id": "784da2a7b53a16d2243f747e14946cc5e3476af0", "title": "VQA: Visual Question Answering", "year": "2015", "pdf": ["http://arxiv.org/pdf/1505.00468"], "doi": ["https://doi.org/10.1109/iccv.2015.279", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.279"]}, {"id": "4cef5476f9da50c1a8fefdcb7114863966f61d67", "title": "Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780717"]}, {"id": "7d39d69b23424446f0400ef603b2e3e22d0309d6", "title": "YOLO9000: Better, Faster, Stronger", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08242.pdf"], "doi": []}, {"id": "20a78d3145279dcd799cd7a856ae2714f4863a16", "title": "SSD: Single Shot MultiBox Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02325.pdf"], "doi": []}, {"id": "28fa525ca1e101335e877bb1f6999b6ccf476959", "title": "Semantic Segmentation with Second-Order Pooling", "year": "2012", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/eccv2012.pdf", "http://videolectures.net/site/normal_dl/tag=725540/eccv2012_carreira_semantic_01.pdf", "http://www.eecs.berkeley.edu/~carreira/papers/eccv2012.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33786-4_32"]}, {"id": "1e9b1f6061ef779e3ad0819c2832a29168eaeb9d", "title": "Instance-Aware Semantic Segmentation via Multi-task Network Cascades", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780712"]}, {"id": "428017f7a6df4d667275c7ac9b3feba39b70e4ae", "title": "CNN-RNN: A Unified Framework for Multi-label Image Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04573.pdf"], "doi": []}, {"id": "28ef938aaa312d76df988f636e248a6b267b6352", "title": "Unsupervised Visual Domain Adaptation Using Subspace Alignment", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751479"]}, {"id": "cab372bc3824780cce20d9dd1c22d4df39ed081a", "title": "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.00915.pdf"], "doi": []}, {"id": "851a884a89a95968c2edcad9787994ccaa8b51a8", "title": "BING: Binarized normed gradients for objectness estimation at 300fps", "year": "2018", "pdf": ["http://mmcheng.net/mftp/Papers/ObjectnessBING.pdf", "http://vision.ia.ac.cn/zh/senimar/reports/2014.5.6PPT.pdf"], "doi": ["https://doi.org/10.1007/s41095-018-0120-1"]}, {"id": "94c5ced03a6f896a4b3bc5a98b8b2baf349d8852", "title": "Fully Convolutional Instance-Aware Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099955"]}, {"id": "cbba352a37426a21b020d1ba8f61e5bca9ca20ae", "title": "Fully convolutional networks for semantic segmentation", "year": "2015", "pdf": ["http://arxiv.org/pdf/1411.4038"], "doi": ["https://doi.org/10.1109/cvpr.2015.7298965", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298965"]}, {"id": "79cfb51a51fc093f66aac8e858afe2e14d4a1f20", "title": "Focal Loss for Dense Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237586"]}, {"id": "74cd38f585cfc48b7e01d95e127204d36b3c02c0", "title": "Anthropogenic VOC in Abidjan, southern West Africa: from source quantification to atmospheric impacts", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/74cd/38f585cfc48b7e01d95e127204d36b3c02c0.pdf"], "doi": []}, {"id": "71b7178df5d2b112d07e45038cb5637208659ff7", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "a971fb267c150834ba823156841eca8845ae1c7f", "title": "Hierarchical Saliency Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618997"]}, {"id": "83d1118c2b2995a3e0cf9b6159e4c59e85cabb7e", "title": "Multiscale Combinatorial Grouping", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909443"]}, {"id": "f251d1d8eb5f3e5b8cf2b4c4550f25ef4c832b5e", "title": "Regionlets for Generic Object Detection", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1109/iccv.2013.10", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.10"]}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "1a2a770d23b4a171fa81de62a78a3deb0588f238", "title": "Visualizing and Understanding Convolutional Networks", "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.2901.pdf"], "doi": []}, {"id": "3dd2f70f48588e9bb89f1e5eec7f0d8750dd920a", "title": "Fast R-CNN", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410526"]}, {"id": "c1994ba5946456fc70948c549daf62363f13fa2d", "title": "Indoor Segmentation and Support Inference from RGBD Images", "year": "2012", "pdf": ["http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf", "http://cs.nyu.edu/~silberman/papers/indoor_seg_support_supplementary.pdf", "http://videolectures.net/site/normal_dl/tag=725527/eccv2012_silberman_images_01.pdf", "http://web.engr.illinois.edu/~dhoiem/publications/eccv2012_indoorkinect_nathan.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33715-4_54"]}, {"id": "abd1c342495432171beb7ca8fd9551ef13cbd0ff", "title": "ImageNet Classification with Deep Convolutional Neural Networks", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065386"]}, {"id": "6de2b1058c5b717878cce4e7e50d3a372cc4aaa6", "title": "Generative Adversarial Nets", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6de2/b1058c5b717878cce4e7e50d3a372cc4aaa6.pdf"], "doi": []}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": "3a0130cfab8192a397d79fc1c7c398470157cf48", "title": "Mask R-CNN.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29994331", "https://doi.org/10.1109/tpami.2018.2844175"]}, {"id": "0023582fde36430c7e3ae81611a14e558c8f4bae", "title": "The Algorithmic Foundations of Differential Privacy", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7f7e/9fd30ff0d1937f83ed0705de49cb9a7e7719.pdf"], "doi": []}, {"id": "2640a376c2b51f83420526646613e85d730eab37", "title": "Saliency Detection via Graph-Based Manifold Ranking", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619251"]}, {"id": "4a3fd686ce675659f238c46c629b055cd58651a0", "title": "Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099834"]}, {"id": "2f56b1ac5b9faac9527b6814778925e9242cf5fd", "title": "Training Region-Based Object Detectors with Online Hard Example Mining", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780458"]}, {"id": "272216c1f097706721096669d85b2843c23fa77d", "title": "Adam: A Method for Stochastic Optimization", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6980.pdf"], "doi": []}, {"id": "2a94c84383ee3de5e6211d43d16e7de387f68878", "title": "Feature Pyramid Networks for Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099589"]}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "33da83b54410af11d0cd18fd07c74e1a99f67e84", "title": "DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1310.1531.pdf"], "doi": []}, {"id": "8ac2736683dac9a467602ee19f5a290096259148", "title": "HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.00600.pdf"], "doi": []}, {"id": "0da75bded3ae15e255f5bd376960cfeffa173b4e", "title": "The Role of Context for Object Detection and Semantic Segmentation in the Wild", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909514"]}, {"id": "522fab628aab972f39835521e31564b4b6c64fe5", "title": "Vehicle Classification on Low-resolution and Occluded images : A low-cost labeled dataset for augmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/522f/ab628aab972f39835521e31564b4b6c64fe5.pdf"], "doi": []}, {"id": "f78db8e59ba354258c3eb4fff2ec67564975436f", "title": "Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09263.pdf"], "doi": []}, {"id": "3aa681914a7da79f7d7293f51a058eefe61c8bb7", "title": "MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/0222/42d33927ef415754e116df1a122961edb6e9.pdf"], "doi": []}, {"id": "7df435390fa21d623d066d76c53c8cd6b8211891", "title": "What Makes a Patch Distinct?", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618995"]}, {"id": "e3ea1c7a3c6cc15590ab5e62a171536fe01b9b1c", "title": "Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410492"]}, {"id": "2b7c2e4e888f4ca6bc8def17497504ea4012aa0f", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273"]}, {"id": "5f5c075e8675d00a2e12bf12a99dafeba444e199", "title": "Semantic Segmentation with Reverse Attention", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06426.pdf"], "doi": []}, {"id": "2bcf46c0b52d8e9535ab3dcfdfb793a3da2a6271", "title": "Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7781017"]}, {"id": "c88c233c50f49b4b85a8702d5ee384d96fca8c23", "title": "Object-Proposal Evaluation Protocol is \u2018Gameable\u2019", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780466"]}, {"id": "09e15bb266da86d0a9525d2a94ac0b38f0b53b88", "title": "Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2031.pdf"], "doi": []}, {"id": "6a1b76f1ef876061ec479ab9bc13fcd517eb4188", "title": "Large Kernel Matters \u2014 Improve Semantic Segmentation by Global Convolutional Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02719.pdf"], "doi": []}, {"id": "1a767a8af36252bb557117c021393292d8a83b24", "title": "Generic Object Detection With Dense Neural Patterns and Regionlets", "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.4316.pdf"], "doi": []}, {"id": "f0550daaf6b173759aa5a2e39a3a9d874d65e858", "title": "Improvements to Context Based Self-Supervised Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579071"]}, {"id": "1779b6a17ee68afafb6801477b165f19901689b2", "title": "Object Contour Detection with a Fully Convolutional Encoder-Decoder Network", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780397"]}, {"id": "cdfe4e46d949b68c682e554c402d16679fd7247c", "title": "Stacked Deconvolutional Network for Semantic Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04943.pdf"], "doi": []}, {"id": "b9c830332608afbbf452a20afeff38ca5aac2e27", "title": "Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410477"]}, {"id": "b92a1ed9622b8268ae3ac9090e25789fc41cc9b8", "title": "Pooling in image representation: The visual codeword point of view", "year": "2013", "pdf": ["http://cedric.cnam.fr/~thomen/papers/avila_CVIU2012_final.pdf", "http://webia.lip6.fr/~thomen/papers/avila_CVIU2012_accepted.pdf"], "doi": ["https://doi.org/10.1016/j.cviu.2012.09.007"]}, {"id": "031055c241b92d66b6984643eb9e05fd605f24e2", "title": "Multi-fold MIL Training for Weakly Supervised Object Localization", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cinbis_Multi-fold_MIL_Training_2014_CVPR_paper.pdf", "https://hal.inria.fr/hal-00975746/PDF/paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909705", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.309", "http://doi.org/10.1109/CVPR.2014.309"]}, {"id": "2a1f38e4451e826e01c9874954ba7c6f32ff79f4", "title": "Boosting Self-Supervised Learning via Knowledge Transfer", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579073"]}, {"id": "f2666a91f6844d7815f758ec1afbac18caf392f8", "title": "Single-Shot Object Detection with Enriched Semantics", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578707"]}, {"id": "57bfbd06e94c5def35c1dde901bb4f1c839dbcdf", "title": "Deep patch learning for weakly supervised object classification and discovery", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02429.pdf"], "doi": []}, {"id": "1cf25786f1e473fdbfcd817cfa37b0ad12806e72", "title": "Co-segmentation by Composition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751271"]}, {"id": "ab9d87a03ce3538ff42b6c26d87e676107cc392c", "title": "Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619260"]}, {"id": "3bde1aae1db3577938ffe910a9de5a1f187840e9", "title": "RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780684"]}, {"id": "647c6ac5e0bfee0241d583650f18c6314f28aaee", "title": "Segmentation Driven Object Detection with Fisher Vectors", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Cinbis_Segmentation_Driven_Object_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.369", "http://doi.org/10.1109/ICCV.2013.369"]}, {"id": "67490b6f34c827f107b046adeef0f5476132d4f8", "title": "How good are detection proposals, really?", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6962.pdf"], "doi": []}, {"id": "636cea485f77373ae18e32ac8e1c4e37555db5bd", "title": "BING: Binarized Normed Gradients for Objectness Estimation at 300fps", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909816"]}, {"id": "3fd90098551bf88c7509521adf1c0ba9b5dfeb57", "title": "Attribute-Based Classification for Zero-Shot Visual Object Categorization", "year": "2014", "pdf": ["http://pub.ist.ac.at/~chl/papers/lampert-pami2013.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/zsl2016/zslpubs/lampert13pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6571196", "http://doi.org/10.1109/TPAMI.2013.140", "https://www.ncbi.nlm.nih.gov/pubmed/24457503", "https://www.wikidata.org/entity/Q38437353"]}, {"id": "15e024d8f5625ec03c8ac592fbc093687cfb5f02", "title": "The Visual Object Tracking VOT2015 Challenge Results", "year": "2015", "pdf": ["http://cell.missouri.edu/media/publications/Matej-KristanRengarajan_VOT2015-challenge-results_ICCVW-2015.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/Kristan2013The.pdf", "http://data.votchallenge.net/vot2015/presentations/vot_2015_paper.pdf", "http://liris.cnrs.fr/Documents/Liris-6875.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w14/papers/Kristan_The_Visual_Object_ICCV_2015_paper.pdf", "http://www.epics-project.eu/publications/2013_kristan_iccvw.pdf", "http://www.epics-project.eu/publications/2014_kristan_iccvw.pdf", "https://hal.archives-ouvertes.fr/hal-01336773/file/Kristan2015The.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674992/visual_kristan_ICCVW_2015_ps.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406428", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.79", "http://doi.org/10.1109/ICCVW.2015.79", "https://hal.archives-ouvertes.fr/hal-01336773/document"]}, {"id": "a1bcdb820f6f0dde108996a18eefb239ef0e9566", "title": "Visual Tracking: An Experimental Survey.", "year": "2014", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26353314", "https://doi.org/10.1109/TPAMI.2013.230"]}, {"id": "1af794673d64112edf60f071ca24066e6a227d2b", "title": "Online Object Tracking: A Benchmark", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619156"]}, {"id": "d082f64b8a0a07d105207eb822be58ffb61b353a", "title": "EMOTIC: Emotions in Context Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w41/papers/Lapedriza_EMOTIC_Emotions_in_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015019", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.285", "http://doi.org/10.1109/CVPRW.2017.285"]}, {"id": "2822a883d149956934a20614d6934c6ddaac6857", "title": "A survey of appearance models in visual object tracking", "year": "2013", "pdf": ["https://arxiv.org/pdf/1303.4803.pdf"], "doi": []}, {"id": "f727837e03a039d9bcec6d02cd87256f5a5854a4", "title": "Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03409.pdf"], "doi": []}, {"id": "ebe5a4c2dc3ca55a5aeedcd25a98ca6e446ce9cc", "title": "Hippocampal Activity Patterns Carry Information about Objects in Temporal Context", "year": "2014", "pdf": ["http://cogns.northwestern.edu/cbmg/pdfs/2.Hsieh_2014.pdf", "http://dml.ucdavis.edu/uploads/6/1/9/7/61974117/hseih_2014_hippocampal.pdf", "http://orca.cf.ac.uk/96034/7/Hsieh_NEURON-D-13-01629.1.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0896627314000208", "https://doi.org/10.1016/j.neuron.2014.01.015", "https://www.ncbi.nlm.nih.gov/pubmed/24607234"]}, {"id": "b7d540cd0de72e984cdec44afa4a4d039cfd5eea", "title": "Object Tracking Benchmark", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami15_tracking_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001050", "http://doi.org/10.1109/TPAMI.2014.2388226", "https://www.ncbi.nlm.nih.gov/pubmed/26353130", "https://www.wikidata.org/entity/Q35768210"]}, {"id": "aa23d33983b1abd2d8a677040eb875e93c478a7f", "title": "Measuring the Objectness of Image Windows", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/alexe11-techreport.pdf", "http://groups.inf.ed.ac.uk/calvin/Publications/alexe12pami.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/techreports/eth_biwi_00882.pdf", "https://www.research.ed.ac.uk/portal/files/17686204/Alexe_et_al_2010_Measuring_the_objectnessi.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6133291", "http://doi.org/10.1109/TPAMI.2012.28", "https://www.ncbi.nlm.nih.gov/pubmed/22248633", "https://www.wikidata.org/entity/Q50666022"]}, {"id": "149e5e5eeea5a9015ab5ae755f62c45ef70fa79b", "title": "Hierarchical Convolutional Features for Visual Tracking", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_tracking.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Ma_Hierarchical_Convolutional_Features_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Ma_Hierarchical_Convolutional_Features_ICCV_2015_paper.pdf", "https://filebox.ece.vt.edu/~jbhuang/poster/ICCV_2015_HCF_Poster.pdf", "https://filebox.ece.vt.edu/~jbhuang/slides/ICCV_2015_HCF_Slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410709", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.352", "http://doi.org/10.1109/ICCV.2015.352"]}, {"id": "05375a7489f0a84d47a316bacb4d86e8a7bda0df", "title": "Analysis of Scores, Datasets, and Models in Visual Saliency Prediction", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751224"]}, {"id": "58e6eaacaab3fbf9b307a8aec1c614027ff501ce", "title": "Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition", "year": "2012", "pdf": ["http://109.101.234.42/documente/publications/19-62.pdf", "http://sminchisescu.ins.uni-bonn.de/papers/ms12eccv.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w09-levent.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_60"]}, {"id": "36c91b1342c1357877e89b4c43f8eadb39755c0b", "title": "Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses", "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/YaoFei-Fei_PAMI2012.pdf", "http://cs.stanford.edu/groups/vision/pdf/yaopami12.pdf", "http://vision.stanford.edu/pdf/yaopami12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6165303", "http://doi.org/10.1109/TPAMI.2012.67", "https://www.ncbi.nlm.nih.gov/pubmed/22392710", "https://www.wikidata.org/entity/Q34185448"]}, {"id": "f0ee079a1f40736e5b7760b38781f090744f37fc", "title": "Contextualizing Object Detection and Classification", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26353205", "https://doi.org/10.1109/TPAMI.2014.2343217", "https://www.wikidata.org/entity/Q40558547"]}, {"id": "5b130e2a1fc3f71b7638cc5dde72481cf33264cc", "title": "Scene Recognition with CNNs: Objects, Scales and Dataset Bias", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780437"]}, {"id": "bfa6ad4d71008505729274d008a9b4a7d92b2985", "title": "Semantic Understanding of Scenes Through the ADE20K Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.05442.pdf"], "doi": []}, {"id": "1883116d33a3e0321d2fe96e0a8a62546aca4ee9", "title": "Visual Question Answering: Datasets, Algorithms, and Future Challenges", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.01465.pdf"], "doi": []}, {"id": "88c307c51594c6d802080a0780d0d654e2e2891f", "title": "Visual Question Answering: A Survey of Methods and Datasets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05910.pdf"], "doi": []}, {"id": "3cfbb77e5a0e24772cfdb2eb3d4f35dead54b118", "title": "Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2353/17b7ce64b4b3aefe57c1304e8157a4832d2c.pdf"], "doi": []}, {"id": "18e39b6f8f5c538d639bc0b46136ed93b5e3ef35", "title": "A Large Dataset of Object Scans", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.02481.pdf"], "doi": []}, {"id": "b31d6f201340ecec35bbe0f477710436f860605e", "title": "Learning Video Object Segmentation with Visual Memory", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237742"]}, {"id": "4a19f6545473363b16d4a10ed13fef29b38856d3", "title": "What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.5027.pdf"], "doi": []}, {"id": "0558c94a094158ecd64f0d5014d3d9668054fb97", "title": "Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/528d/141aba97074977a332bb2d96364b716f246c.pdf"], "doi": []}, {"id": "09a503095db2d68b439e48d67481399198ed0e5b", "title": "Recurrent Models of Visual Attention", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6247.pdf"], "doi": []}, {"id": "350d507f5d899e4d7293b1aa951aa0f81b9fd30a", "title": "The Visual Object Tracking VOT2017 Challenge Results", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Kristan_The_Visual_Object_ICCV_2017_paper.pdf", "https://hal.archives-ouvertes.fr/hal-01336773/file/Kristan2015The.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265440", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.230", "http://doi.org/10.1109/ICCVW.2017.230"]}, {"id": "7e232313a59d735ef7c8a9f4cc7bc980a29deb5e", "title": "Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1116-0"]}, {"id": "b4ee2a6b5fdf66f57e94a998cff2acef4af7d256", "title": "Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes", "year": "2013", "pdf": ["https://www.d2.mpi-inf.mpg.de/sites/default/files/wojek2013pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6265058", "http://doi.org/10.1109/TPAMI.2012.174", "https://www.ncbi.nlm.nih.gov/pubmed/22889818", "https://www.wikidata.org/entity/Q45823527"]}, {"id": "2ce63d77eecc35faef85a3b752a314c93a077ac9", "title": "Learning Multi-domain Convolutional Neural Networks for Visual Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780834"]}, {"id": "1c66fa1f3f189ca25bd657f53d77fde64c75f3da", "title": "Adaptive Color Attributes for Real-Time Visual Tracking", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909539"]}, {"id": "eb66303192a89c314ce4acae640ba700fa3293a3", "title": "Unsupervised Object Annotation through Context Analysis", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb66/303192a89c314ce4acae640ba700fa3293a3.pdf"], "doi": []}, {"id": "51a4d658c93c5169eef7568d3d1cf53e8e495087", "title": "Unsupervised Visual Domain Adaptation Using Subspace Alignment", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751479"]}, {"id": "079ed21601974d0604544a6d816c2f51b5c039b8", "title": "Enriching Visual Knowledge Bases via Object Discovery and Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909658"]}, {"id": "7574b7e5a75fdd338c27af5aeb77ab79460c4437", "title": "Learning Dynamic Siamese Network for Visual Object Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237458"]}, {"id": "38a169b6e67ef7768f91fa208c9b5544f6f57f16", "title": "Object Bank: An Object-Level Image Representation for High-Level Visual Recognition", "year": "2013", "pdf": ["http://cs.stanford.edu/groups/vision/pdf/li_ijcv2013.pdf", "http://vision.stanford.edu/pdf/li_ijcv2013.pdf", "http://www.tpbin.com/Uploads/Subjects/79181d36-c45c-4f6c-821f-b7f9fcac3881.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0660-x"]}, {"id": "5527dd901b836e2f164c9fa3e62f57cd70c21745", "title": "3D object retrieval via range image queries in a bag-of-visual-words context", "year": "2013", "pdf": ["http://graphics.di.uoa.gr/Downloads/papers/journals/p43.pdf", "http://www.idi.ntnu.no/grupper/vis/wp-content/uploads/2013/09/Range3DRetrievalTVCfinal.pdf"], "doi": ["https://doi.org/10.1007/s00371-013-0876-3"]}, {"id": "5ea8a9ae2bf40c4722e618b732f769744ab57dfe", "title": "Context Driven Scene Parsing with Attention to Rare Classes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909817"]}, {"id": "2d84f49572c2b29b6c9e1818eb57e7f12bc4236e", "title": "Query-Adaptive Asymmetrical Dissimilarities for Visual Object Retrieval", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751322"]}, {"id": "00319cd17cebae5e1095a248260bd7be15781362", "title": "A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01277.pdf"], "doi": []}, {"id": "0f060f011fe3093a24bf2cde96a4a833f58ec5a5", "title": "Object-based visual query suggestion", "year": "2012", "pdf": ["https://www.researchgate.net/profile/Pierre_Letessier/publication/257627352_Object-based_visual_query_suggestion/links/00b7d5260034959679000000.pdf"], "doi": ["https://doi.org/10.1007/s11042-012-1340-5"]}, {"id": "33baa52f583fb049f473a53d8e0ca5ac8e7abbf2", "title": "Reinforcement Learning for Visual Object Detection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780685"]}, {"id": "1631bc8b8fe853278b8e54bd3e9fff1445fa9f91", "title": "Visual Distance Measures for Object Retrieval", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6411668"]}, {"id": "4a8e9e179b58d3e10448f5e4680b66f34c8bc573", "title": "Learning to segment moving objects in videos", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299035"]}, {"id": "0f6a8e9139cdd15fd0a8a292204aed21a8b51c5a", "title": "ReferItGame: Referring to Objects in Photographs of Natural Scenes", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0f6a/8e9139cdd15fd0a8a292204aed21a8b51c5a.pdf"], "doi": []}, {"id": "1ced31e02234bc3d1092ffb2c7442ffbd51cb309", "title": "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780807"]}, {"id": "5ac18d505ed6d10e8692cbb7d33f6852e6782692", "title": "The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00982.pdf"], "doi": []}, {"id": "efa08283656714911acff2d5022f26904e451113", "title": "Active Object Localization in Visual Situations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00548.pdf"], "doi": []}, {"id": "1f7127b9ae86d7fac305c6b824801e455e82f511", "title": "Visual relationship detection with object spatial distribution", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019448", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019448", "http://doi.org/10.1109/ICME.2017.8019448"]}, {"id": "051830b0ea58d1568f19ec3297e301d9789c9a76", "title": "Bringing Semantics into Focus Using Visual Abstraction", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk5_abstract_scenes.pdf", "http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk5_abstract_scenes_rob.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d009.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zitnick_Bringing_Semantics_into_2013_CVPR_paper.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/ZitnickParikh_CVPR_2013_clipart.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619231", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.387", "http://doi.org/10.1109/CVPR.2013.387"]}, {"id": "64c4019f1ea9b54b1848418ac53c4e2584dc62d4", "title": "ActionNet-VE Dataset: A Dataset for Describing Visual Events by Extending VIRAT Ground 2.0", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7433003"]}, {"id": "9a8e61cc9a95efe9e35df4d4230c7b8a655b7392", "title": "Unsupervised Joint Object Discovery and Segmentation in Internet Images", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619097"]}, {"id": "022027ce7475029f78fb3cdb758d947a8978ab5c", "title": "Invariant visual object recognition: biologically plausible approaches", "year": "2015", "pdf": ["http://wrap.warwick.ac.uk/77413/1/WRAP_422_2015_Article_658.pdf", "http://www.oxcns.org/papers/554%20Robinson%20Rolls%202015%20Invariant%20visual%20object%20recognition%20Biologically%20plausible%20models.pdf"], "doi": ["https://doi.org/10.1007/s00422-015-0658-2", "https://www.ncbi.nlm.nih.gov/pubmed/26335743", "https://www.wikidata.org/entity/Q43248757"]}, {"id": "e8e662e45e39249756d2b0090782434a5cf1f4aa", "title": "VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hou_VegFru_A_Domain-Specific_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Hou_VegFru_A_Domain-Specific_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237328", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.66", "http://doi.org/10.1109/ICCV.2017.66"]}, {"id": "54c7c3909c7e1e827befdbe8d2595a3b196ba1b8", "title": "AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578731"]}, {"id": "ac6c28cd866bccbbca54da8b7bd5b2e0d5e9d0b4", "title": "Cross-Dataset Learning of Visual Concepts", "year": "2012", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/Semantic-Technologies/paper/amr2012.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-12093-5_4"]}, {"id": "bbe7f4217a9bd9c6d3826b5b62d59d183e729383", "title": "Discriminative Hough context model for object detection", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-013-0780-x"]}, {"id": "55ca9fe4ae98904bfe026d22dcf1420ff9c0dd86", "title": "Dataset for Visual Reasoning", "year": "2017", "pdf": [], "doi": []}, {"id": "20f9a09defe5b02b98c464ca6df36b3b6358f60b", "title": "The State-of-the-Art in Visual Object Tracking", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cd46/4a309fa1736e1373f0bb06baf75e3d0abcac.pdf"], "doi": []}, {"id": "d86fabd4498c8feaed80ec342d254fb877fb92f5", "title": "Region-Object Relevance-Guided Visual Relationship Detection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d86f/abd4498c8feaed80ec342d254fb877fb92f5.pdf"], "doi": []}, {"id": "4405b44b5597787c42abeca6d0b3172175557b7b", "title": "Object discovery in 3D scenes via shape analysis", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6630857"]}, {"id": "8da0771e47c32405c4877cedce3ff84ac7390646", "title": "A survey of datasets for visual tracking", "year": "2015", "pdf": ["http://www.isir.upmc.fr/files/2015ACLI3545.pdf"], "doi": ["https://doi.org/10.1007/s00138-015-0713-y", "http://hal.upmc.fr/hal-01217152/document"]}, {"id": "4a75c3441cef2069458fe61a01196c2c8b32ee92", "title": "Single-trial classification of EEG in a visual object task using ICA and machine learning", "year": "2014", "pdf": ["https://www.research.ed.ac.uk/portal/files/14632594/Stewart.JNeurosciMeth.228.2014.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027014000752", "https://doi.org/10.1016/j.jneumeth.2014.02.014", "https://www.ncbi.nlm.nih.gov/pubmed/24613798"]}, {"id": "1456f147381bf7c385225d854c2fb48c19eca285", "title": "LCAV-31: a dataset for light field object recognition", "year": "2014", "pdf": ["http://infoscience.epfl.ch/record/197737/files/902014.pdf"], "doi": ["http://doi.org/10.1117/12.2041097"]}, {"id": "d7ed761cfe1b71aa7e4d08c355fcab131558f8c8", "title": "Learning Object Models on a Robot using Visual Context and Appearance Cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d7ed/761cfe1b71aa7e4d08c355fcab131558f8c8.pdf"], "doi": []}, {"id": "d53c79cce46820642f2d4e0f0dac9b31d1201f24", "title": "Visual object trapping", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.cviu.2016.07.007"]}, {"id": "5ffd74d2873b7cba2cbc5fd295cc7fbdedca22a2", "title": "The Cityscapes Dataset", "year": "2015", "pdf": [], "doi": []}, {"id": "14ca963b4e0b87fc7213b8e3a3e2371cee7ffad6", "title": "Exploring Causal Relationships in Visual Object Tracking", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410708"]}, {"id": "f9c602cc436a9ea2f9e7db48c77d924e09ce3c32", "title": "Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07747.pdf"], "doi": []}, {"id": "3ecb007d46614d5e5566b0ad7c96c0c4c8ac0d14", "title": "Enhancing Object Recognition With Dynamic Cognitive Context", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3ecb/007d46614d5e5566b0ad7c96c0c4c8ac0d14.pdf"], "doi": []}, {"id": "c8018f3dc6121d92da37f1756e7bd11a128aa55c", "title": "Region Filling and Object Removal by Exemplar based Image Inpainting", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c801/8f3dc6121d92da37f1756e7bd11a128aa55c.pdf"], "doi": []}, {"id": "051d8bbf12877c46ae9a598a386c5b72d1b103ac", "title": "Object Detection using Geometrical Context Feedback", "year": "2012", "pdf": ["http://cvgl.stanford.edu/papers/Sun_IJCV_2012.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0547-2"]}, {"id": "b0cd469a06fb2eae3a5cc0c860aa592f71b13f6d", "title": "IQA: Visual Question Answering in Interactive Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578528"]}]}
\ No newline at end of file
+{"id": "0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a", "citations": [{"id": "c399c0089fb134d1476fadf5f0426e0e8b70eebd", "title": "The Lov\u00e1sz Hinge: A Novel Convex Surrogate for Submodular Losses.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1512.07797.pdf"], "doi": []}, {"id": "6b6fcf1220ea100aa80004018c78b137289d3c50", "title": "CAD: Scale Invariant Framework for Real-Time Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265304"]}, {"id": "656f05741c402ba43bb1b9a58bcc5f7ce2403d9a", "title": "Supervised Learning Approaches for Automatic Structuring of Videos. (M\u00e9thodes d'apprentissage supervis\u00e9 pour la structuration automatique de vid\u00e9os)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/656f/05741c402ba43bb1b9a58bcc5f7ce2403d9a.pdf"], "doi": []}, {"id": "aa3398e15395a2a380c7c6b3f274c8c60fb0b48c", "title": "Chained Cascade Network for Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237476"]}, {"id": "e58434a01c45505995b000f5e631843a2f2ea582", "title": "Scale coding bag of deep features for human attribute and action recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.04884.pdf"], "doi": []}, {"id": "eaf65c7cf4e9f7868c61f48656cb608fae0adcee", "title": "Visual dictionaries as intermediate features in the human brain", "year": "2014", "pdf": ["http://journal-cdn.frontiersin.org/article/104962/files/pubmed-zip/versions/1/pdf", "http://journal.frontiersin.org/article/10.3389/fncom.2014.00168/pdf", "https://pure.uva.nl/ws/files/2455021/162945_fncom_08_00168.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25642183", "http://doi.org/10.3389/fncom.2014.00168", "https://www.wikidata.org/entity/Q34969835"]}, {"id": "4c5d723dd83250c6b289c94318717de2d373a6ed", "title": "Learning Image Classification and Retrieval Models", "year": "2012", "pdf": [], "doi": []}, {"id": "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "title": "PCANet: A Simple Deep Learning Baseline for Image Classification?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1404.3606.pdf"], "doi": []}, {"id": "095ccb4e2e0f3934dc1aa51c685b2f54c8a6e588", "title": "Derivate-based Component-Trees for Multi-Channel Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.01906.pdf"], "doi": []}, {"id": "a221588fd2d062462254481cfd9563fec2f7c387", "title": "Deep neural network ensemble architecture for eye movements classification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8345537"]}, {"id": "67126ad0af544740c455311d08cb180aec830a6c", "title": "Generating Descriptions of Spatial Relations between Objects in Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6712/6ad0af544740c455311d08cb180aec830a6c.pdf"], "doi": []}, {"id": "823db813f036365cf9b22b2081ec167a2b582532", "title": "Segmentation and Shape Extraction from Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354273", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00169", "http://doi.org/10.1109/WACV.2018.00169", "http://www.grk1564.uni-siegen.de/publicationPDFbyID?ID=926"]}, {"id": "f3ccdf54a3384e601fa36969e7b3f657e2516a3b", "title": "Paying More A ention to Saliency : Image Captioning with Saliency and Context A ention 1 : 3", "year": "2017", "pdf": [], "doi": []}, {"id": "2c9c597ab660815e07980e9655c3c5989402205b", "title": "Vision-Based Reacquisition for Task-Level Control", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2c9c/597ab660815e07980e9655c3c5989402205b.pdf"], "doi": []}, {"id": "aae1bf434983545c8a99a5dbfc2ce37435c76e03", "title": "SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00248.pdf"], "doi": []}, {"id": "ff18125a8f549135e6320fed91d0002bd2dae635", "title": "Colour Terms: a Categorisation Model Inspired by Visual Cortex Neurons", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06300.pdf"], "doi": []}, {"id": "3e50e351687779c05390daf117f0394d1556cd3c", "title": "Die Detektion interessanter Objekte unter Verwendung eines objektbasierten Aufmerksamkeitsmodells", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e50/e351687779c05390daf117f0394d1556cd3c.pdf"], "doi": []}, {"id": "065f05c9cb2a6080191851dd82cd9b439a77499a", "title": "Comparing Boosted Cascades to Deep Learning Architectures for Fast and Robust Coconut Tree Detection in Aerial Images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/065f/05c9cb2a6080191851dd82cd9b439a77499a.pdf"], "doi": []}, {"id": "4ba503d8f173880d8e8402808f54b78b653e5d20", "title": "Accelerating Stochastic Gradient Descent via Online Learning to Sample", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4ba5/03d8f173880d8e8402808f54b78b653e5d20.pdf"], "doi": []}, {"id": "03a2235fea70317461222fac05e38ee35ead9711", "title": "Implementation of a Computer Vision Algorithm for Onboard Detection of Unmanned Aircraft submitted by Luk\u00e1\u0161 Bauer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03a2/235fea70317461222fac05e38ee35ead9711.pdf"], "doi": []}, {"id": "d07dabdea9e2e4546b09d07a019723ceb6c61b84", "title": "Deep learning for text spotting", "year": "2015", "pdf": [], "doi": []}, {"id": "7f66ff8dd0313fc9c7d67be7ea5aecdda956657c", "title": "Tracking-by-Segmentation with Online Gradient Boosting Decision Tree", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410707", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.350", "http://doi.org/10.1109/ICCV.2015.350"]}, {"id": "4896c9f6958137c88db29a3a707aafae3c29d106", "title": "Discriminative Re-ranking of Diverse Segmentations", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619095"]}, {"id": "858555b6f4663fe083d6c81a2671c9cd8130bbf3", "title": "Object Discovery via Cohesion Measurement", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.08944.pdf"], "doi": []}, {"id": "f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6", "title": "Rapid Object Detection Systems , Utilising Deep Learning and Unmanned Aerial Systems ( Uas ) for Civil Engineering Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f81f/5da2a1e4eb80b465b8dffca4c9e583a8a8a6.pdf"], "doi": []}, {"id": "369bd35ab8bad4c7bc5e376cc776a5366d97b12e", "title": "An Object Detector Trained on Line Drawings", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/369b/d35ab8bad4c7bc5e376cc776a5366d97b12e.pdf"], "doi": []}, {"id": "46971fb6caa61c606b046da855be4e196a830ccf", "title": "Identification of Scene Text by Character Descriptor in Smart Mobile Devices", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4697/1fb6caa61c606b046da855be4e196a830ccf.pdf"], "doi": []}, {"id": "afad16c9fee11d8f78785af6b1856beb86b5ccf4", "title": "Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08011.pdf"], "doi": []}, {"id": "9089280062cf40870a322d687c2850d45c02ebae", "title": "Single Image Action Recognition by Predicting Space-Time Saliency", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04641.pdf"], "doi": []}, {"id": "cf384eda31030a45238ebd8356ace7600da5076b", "title": "Cross-Domain CNN for Hyperspectral Image Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00093.pdf"], "doi": []}, {"id": "44c5e66e58dd8212b753662e08cc0a7c8327ec50", "title": "Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-ijcv14.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-ijcv14.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0778-5"]}, {"id": "83acbf0bee402b0472ff101cee5942f4137d91c3", "title": "Semi-automatic Annotation on Image Segmentation Hierarchies", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/83ac/bf0bee402b0472ff101cee5942f4137d91c3.pdf"], "doi": []}, {"id": "e9af96d478b487fec9a06dde9e43b2ed3355ea7b", "title": "Automatic thresholding of SIFT descriptors", "year": "2016", "pdf": ["https://arxiv.org/pdf/1811.03173.pdf"], "doi": []}, {"id": "b1369e4785dd0b23f89ca76f45468049c8667863", "title": "1 DARTS : Deceiving Autonomous Cars with Toxic Signs", "year": "2018", "pdf": [], "doi": []}, {"id": "1a5151b4205ab27b1c76f98964debbfc11b124d5", "title": "Self Paced Deep Learning for Weakly Supervised Object Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.07651.pdf"], "doi": []}, {"id": "f1d8c377093ecf64afd7f17383738e81666fe5ae", "title": "Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10805.pdf"], "doi": []}, {"id": "12ff1c48f5776fda9d156c7b324af3f2674420a9", "title": "Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/12ff/1c48f5776fda9d156c7b324af3f2674420a9.pdf"], "doi": []}, {"id": "e4dc24e4926df4de3e8d7ca7cd1f4115e91f03e1", "title": "Instance-level video segmentation from object tracks Anonymous CVPR submission", "year": "", "pdf": ["https://pdfs.semanticscholar.org/e4dc/24e4926df4de3e8d7ca7cd1f4115e91f03e1.pdf"], "doi": []}, {"id": "194af94f1ea9357bebb0aab5ab98aa0daa21ddbd", "title": "Snapshot Distillation: Teacher-Student Optimization in One Generation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00123.pdf"], "doi": []}, {"id": "9d67f5adf4497ba99201d318cfbbed07e926c05b", "title": "Unseen Object Segmentation in Videos via Transferable Representations", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.02444.pdf"], "doi": []}, {"id": "0caef87116f62fcc86735401a9aa9d4e170ffbef", "title": "On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics", "year": "2015", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/Das_ITSC2015.pdf", "http://cvrr.ucsd.edu/publications/2015/DasOhnbarTrivedi_ITSC2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7313566", "http://doi.org/10.1109/ITSC.2015.473"]}, {"id": "806aea24148fc2ef851803c216a0a25894d78bf4", "title": "Correlation filter based visual trackers for person pursuit using a low-cost Quadrotor", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7294481", "http://doi.org/10.1109/I4CS.2015.7294481"]}, {"id": "63ed42249d7cbb21a4b0d42419d42b014ff114eb", "title": "Comprehensive Parameter Sweep for Learning-Based Detector on Traffic Lights", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4817/826f1af10e0c31dee067f8d9255d6387d486.pdf"], "doi": []}, {"id": "1b1323b4677c640ae8835a9ccab611ca1e9652e3", "title": "Robust object tracking with a hierarchical ensemble framework", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.06925.pdf"], "doi": []}, {"id": "557e5e38a4c5b95e2bc86f491b03e5c8c7add857", "title": "Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/kwak2016.pdf", "https://vlg.dgist.ac.kr/research/pose_emb/data/CVPR2016_pose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780903", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.534", "http://doi.org/10.1109/CVPR.2016.534"]}, {"id": "6bcc2b50e32bdbb0c668f75000badf21e6cd0839", "title": "Knowledge Projection for Deep Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09505.pdf"], "doi": []}, {"id": "071680ca97de050a372ea79f2b99f102bb3ca6ef", "title": "Inferring Unseen Views of People", "year": "2014", "pdf": ["http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/inferring-unseen-views-of-people-paper.pdf", "http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/inferring-unseen-views-of-people-poster.pdf", "http://vision.cs.utexas.edu/projects/infering_unseen_views_of_people/supp.pdf", "http://www.cs.utexas.edu/~chaoyeh/cvpr_2014_Inferring_Unseen_Views_of_People%20(2).pdf", "http://www.cs.utexas.edu/~grauman/papers/chen-pose-cvpr2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Inferring_Unseen_Views_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909655", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.258", "http://doi.org/10.1109/CVPR.2014.258"]}, {"id": "415c0eecce9fde7d1ba9c70bd0bfa5471760c117", "title": "Oriented Object Proposals", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cs.cityu.edu.hk/~rynson/papers/iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410397", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.40", "http://doi.org/10.1109/ICCV.2015.40"]}, {"id": "f865248065b8d6bcbce4a4053b73e4de2080ba23", "title": "Efficient object detection for high resolution images", "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.01257.pdf"], "doi": []}, {"id": "e0e19769ad446c2a74c0616fcfb551059c899ce6", "title": "Part level transfer regularization for enhancing exemplar SVMs", "year": "2015", "pdf": ["http://people.csail.mit.edu/yusuf/publications/2015/Aytar15/aytar15.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.04.004"]}, {"id": "009fba8df6bbca155d9e070a9bd8d0959bc693c2", "title": "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909475"]}, {"id": "a0703bef11c978cc8faf05eb229e29a889f8a0b1", "title": "Superpixel Hierarchy", "year": "2018", "pdf": ["https://arxiv.org/pdf/1605.06325.pdf"], "doi": []}, {"id": "472de7b3c674e8f06702385569779d11b71bc8f2", "title": "Superpixel Coherency and Uncertainty Models for Semantic Segmentation", "year": "2013", "pdf": ["http://cvlab.postech.ac.kr/~tgx.lim/paper/iccv2013_semantic.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W08/papers/Baek_Superpixel_Coherency_and_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755909"]}, {"id": "73818ae13a89c2377c30cdb029fdb7e490fe5367", "title": "Joint cost minimization for multi-object tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078481", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078481", "http://doi.org/10.1109/AVSS.2017.8078481"]}, {"id": "ba51ce1ec7b18fa808985b919f4a201fe5e4bafb", "title": "Semantic parsing for priming object detection in indoors RGB-D scenes", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ba51/ce1ec7b18fa808985b919f4a201fe5e4bafb.pdf"], "doi": []}, {"id": "23e707600c3e9a240e24eaa4ed4b0e4ec6a436c1", "title": "Automatic foreground extraction via joint CRF and online learning", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7f3b/115dd38a933f3a88e3b20b58862216297d63.pdf"], "doi": []}, {"id": "c5632e2117d268159225d5c307b7efbb6428ccba", "title": "Understanding image concepts using ISTOP model", "year": "2016", "pdf": ["http://www.cs.uu.nl/groups/MG/multimedia/publications/art/PR2016b.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2015.11.010"]}, {"id": "773fd71d3d24c268c99e1c53ae87a28da3bbe0f6", "title": "Conditional Entropies as Over-Segmentation and Under-Segmentation Metrics for Multi-Part Image Segmentation", "year": "2011", "pdf": [], "doi": []}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "9ea7205ef136f207123cd6b54e15075835ae0049", "title": "Self-supervised language grounding by active sensing combined with Internet acquired images and text", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9ea7/205ef136f207123cd6b54e15075835ae0049.pdf"], "doi": []}, {"id": "6452d294af27b1f9408c9522bfb98bf00e1e4732", "title": "A novel infrared video surveillance system using deep learning based techniques", "year": "2018", "pdf": ["https://ore.exeter.ac.uk/repository/bitstream/handle/10871/32083/MTA-manuscript-revision-R2-accepted.pdf?isAllowed=y&sequence=1", "https://repository.edgehill.ac.uk/10281/6/MTA-manuscript-revision-R2.pdf"], "doi": ["https://doi.org/10.1007/s11042-018-5883-y"]}, {"id": "191beb87f84326d2cc9c427efe2a5abee8f67574", "title": "Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05462.pdf"], "doi": []}, {"id": "5020a75c45416073d0b07b1deb7382bc80de1779", "title": "Human Detection Using Learned Part Alphabet and Pose Dictionary", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/HumanDetectionECCV2014.pdf", "http://mc.eistar.net/UpLoadFiles/Papers/%5B38%5D%202014%20ECCV%20Yaocong.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8693/86930251.pdf", "https://cis.temple.edu/~latecki/Papers/HumanDetectionECCV2014.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-10602-1_17"]}, {"id": "6e7248f33be3f6b44d6089b7039a5c2d84acaed0", "title": "Object cosegmentation using deep Siamese network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02555.pdf"], "doi": []}, {"id": "b8ccc5341a1b0214e9d155b019962023f344c2ee", "title": "Incremental Learning of Object Detectors without Catastrophic Forgetting", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06977.pdf"], "doi": []}, {"id": "37668092cf8b7695d4a85eb7a25e9a2ef0fd0739", "title": "Robust object detection under partial occlusion", "year": "2016", "pdf": [], "doi": []}, {"id": "49f276e1b8fd162ac3cd996becc63cab2b2535b7", "title": "Trained 3D Models for CNN based Object Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/49f2/76e1b8fd162ac3cd996becc63cab2b2535b7.pdf"], "doi": []}, {"id": "1426045c4188f09fec46d0d2f246357a230a1748", "title": "Structured Labels in Random Forests for Semantic Labelling and Object Detection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6784137", "http://doi.org/10.1109/TPAMI.2014.2315814", "https://www.ncbi.nlm.nih.gov/pubmed/26352638", "https://www.wikidata.org/entity/Q38404154"]}, {"id": "efe133717899b41cd4c0b0c999da312d3af60a6e", "title": "Depth-Based Hand Pose Estimation: Methods, Data, and Challenges", "year": "2018", "pdf": ["https://arxiv.org/pdf/1504.06378.pdf"], "doi": []}, {"id": "9caa7605c16da42761c8a27327f5f037dbf901fa", "title": "q-Gaussian mixture models for image and video semantic indexing", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2013.10.005", "http://t2r2.star.titech.ac.jp/rrws/file/CTT100664441/ATD100000413/"]}, {"id": "4bb84c9b24456fb0bb920ca83280bd9c48ad4b66", "title": "Instance-Level Video Segmentation from Object Tracks", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Seguin_Instance-Level_Video_Segmentation_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Seguin_Instance-Level_Video_Segmentation_CVPR_2016_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/seguin2016.pdf", "http://www.di.ens.fr/willow/research/instancelevel/seguin16instancelevel.pdf", "http://www.di.ens.fr/~bojanowski/papers/seguin16instance.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780769", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.400", "http://doi.org/10.1109/CVPR.2016.400"]}, {"id": "ce0dbe6b1abecb54dcc98dbe652aa63d190dbc94", "title": "Part-Based Models for Finding People and Estimating Their Pose", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ce0d/be6b1abecb54dcc98dbe652aa63d190dbc94.pdf"], "doi": []}, {"id": "a5683661e80668e05170bf17bcbd754d1b07af74", "title": "Comparison of Data Set Bias in Object Recognition Benchmarks", "year": "2015", "pdf": ["http://vfacstaff.ltu.edu/lshamir/publications/object_recognition_dataset_bias.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299607", "http://doi.org/10.1109/ACCESS.2015.2491921"]}, {"id": "646a669f1dc38ae961fe41fbd3c83cab64ce9d53", "title": "Real-Time Seamless Single Shot 6D Object Pose Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578136"]}, {"id": "575a0e97702edcb0621a47b574949bac50e34200", "title": "Unsupervised Learning by Predicting Noise", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.05310.pdf"], "doi": []}, {"id": "b9128ff3b0b96815ff41a7d5fb2b4bef69f635ca", "title": "Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.04984.pdf"], "doi": []}, {"id": "7c03a0ad5202a6a31ad3b78b11f6b45ecd840616", "title": "Scale-Invariant Feature Learning using Deconvolutional Neural Networks for Weakly-Supervised Semantic Segmentation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c03/a0ad5202a6a31ad3b78b11f6b45ecd840616.pdf"], "doi": []}, {"id": "17342b1c4caccfc499d9ae55a68d7b93285c5d6b", "title": "Action recognition in still images using a combination of human pose and context information", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6466977", "http://doi.org/10.1109/ICIP.2012.6466977"]}, {"id": "571d2b173c2db8ac751dabdfcf5a18c06f365e05", "title": "Improved Part Segmentation Performance by Optimising Realism of Synthetic Images using Cycle Generative Adversarial Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06301.pdf"], "doi": []}, {"id": "90e36f66c25a4c73a252102c6c6c329c36d82676", "title": "Probably Unknown: Deep Inverse Sensor Modelling In Radar", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08151.pdf"], "doi": []}, {"id": "fb710e9d897b7c1fd5275a0bcfa22711c5768990", "title": "A Graphical Model for Rapid Obstacle Image-Map Estimation from Unmanned Surface Vehicles", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fb71/0e9d897b7c1fd5275a0bcfa22711c5768990.pdf"], "doi": []}, {"id": "821ba3eba1e36a29cc482f5378f4a0d0f6893159", "title": "Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07926.pdf"], "doi": []}, {"id": "b50156e76ae03a1c0b04cd2076a99b7f2b441506", "title": "An image classification method that considers privacy-preservation", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.04.056"]}, {"id": "3481a544e28cfc14108b0785eef7c12747e622ee", "title": "Online Multi-object Tracking via Structural Constraint Event Aggregation", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr16_mot.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201703210652/Online%20Multi-Object%20Tracking%20via%20Structural%20Constraint%20Event%20Aggregation.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yoon_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780524", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.155", "http://doi.org/10.1109/CVPR.2016.155"]}, {"id": "7fd5d2b0a034da43a747f6b8be3e51d775a05625", "title": "A Method to Detect Boats in Images of the Amazonian Rivers", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8247064", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2017.73", "http://doi.org/10.1109/BRACIS.2017.73"]}, {"id": "13105c611a059b4825bc92ff9778f532b6a849b2", "title": "Compressing Sparse Feature Vectors Using Random Ortho-Projections", "year": "2010", "pdf": ["http://www.ee.oulu.fi/mvg/files/pdf/PID1267977.pdf", "http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/PID1267977.pdf", "http://www.rni.helsinki.fi/~msa/pub/ICPR2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597593", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.345", "http://doi.org/10.1109/ICPR.2010.345"]}, {"id": "0967341790643f680f3fc9dc87bfe311723be4e4", "title": "A Perception-Driven Transcale Display Scheme for Space Image Sequences", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0967/341790643f680f3fc9dc87bfe311723be4e4.pdf"], "doi": []}, {"id": "a8bf49021017e19df051a3efb7337d93ea263e37", "title": "Deep Multiple Instance Hashing for Object-based Image Retrieval", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a8bf/49021017e19df051a3efb7337d93ea263e37.pdf"], "doi": []}, {"id": "347ce37f15cea5bb8d0a676562664f80e3609b78", "title": "Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04702.pdf"], "doi": []}, {"id": "0755ee472e2bc2968b16f851a16c39b3f3e2d0d0", "title": "From Weakly Supervised Object Localization to Semantic Segmentation by Probabilistic Image Modeling", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227436", "http://doi.org/10.1109/DICTA.2017.8227436"]}, {"id": "659fc2a483a97dafb8fb110d08369652bbb759f9", "title": "Improving the Fisher Kernel for Large-Scale Image Classification", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/659f/c2a483a97dafb8fb110d08369652bbb759f9.pdf"], "doi": []}, {"id": "1e02dfeb93e8fd8753d2e69baf705baf8996cb81", "title": "Online Object Tracking, Learning and Parsing with And-Or Graphs", "year": "2014", "pdf": ["https://arxiv.org/pdf/1509.08067.pdf"], "doi": []}, {"id": "bdfb5f11d497b44b17d0315c3b6892f835723832", "title": "Object Captioning and Retrieval with Natural Language", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06152.pdf"], "doi": []}, {"id": "43fe9006b90137d6ce85a539685ce66c13f0e38e", "title": "A review of image-based automatic facial landmark identification techniques", "year": "", "pdf": ["https://pdfs.semanticscholar.org/43fe/9006b90137d6ce85a539685ce66c13f0e38e.pdf"], "doi": []}, {"id": "642772c38ff690d17a3ce84a1d8646aefc802139", "title": "VIDEO OBJECT TRACKING BASED ON AUTOMATIC BACKGROUND SEGMENTATION : A SURVEY", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6427/72c38ff690d17a3ce84a1d8646aefc802139.pdf"], "doi": []}, {"id": "303c08071500421c3aca758e6c7cd6a9fcbda1a8", "title": "Scene understanding with complete scenes and structured representations", "year": "2014", "pdf": [], "doi": []}, {"id": "86f0f71bff42e4bdc60014e4f94ec76d52c8eccf", "title": "Felzenszwalb-Baum-Welch: Event Detection by Changing Appearance", "year": "2013", "pdf": ["https://arxiv.org/pdf/1306.4746.pdf"], "doi": []}, {"id": "d9cc8bc5c4a4b29ab40f75b721bd9e5140d2baf6", "title": "Object Detection for Crime Scene Evidence Analysis Using Deep Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6926/4f28158f9245a06f7a2c1ae666241261cc0e.pdf"], "doi": []}, {"id": "d3f6b3ce8f7b67c1e112a79b3fe9764242c655f5", "title": "Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354202"]}, {"id": "9b6538d09e914c41345812b3086feff1dc1ae218", "title": "Detecting Comma-shaped Clouds for Severe Weather Forecasting using Shape and Motion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08937.pdf"], "doi": []}, {"id": "bf417e1c265b31720b4fb980afb83cc3a573fa6f", "title": "Representations and Similarities of Images for Visual Classification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bf41/7e1c265b31720b4fb980afb83cc3a573fa6f.pdf"], "doi": []}, {"id": "4dc57432fa8fea1614a39c324bf11ae0620cb26f", "title": "Aalborg Universitet Detection of U . S . Traffic", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/6e53/63af2bfb7d1b2bd13feb41c2688bd0cf12b3.pdf"], "doi": []}, {"id": "878169be6e2c87df2d8a1266e9e37de63b524ae7", "title": "Image interpretation above and below the object level.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8781/69be6e2c87df2d8a1266e9e37de63b524ae7.pdf"], "doi": []}, {"id": "3daafe6389d877fe15d8823cdf5ac15fd919676f", "title": "Human Action Localization with Sparse Spatial Supervision", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05197.pdf"], "doi": []}, {"id": "04f9b591cdfa1e3667230ae1224b1dfdac0a8ef1", "title": "Discriminative Segment Annotation in Weakly Labeled Video", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619165"]}, {"id": "4e4f2c4d2ea47636ca2ab795770d6b3214640f37", "title": "Efficient Maximum Appearance Search for Large-Scale Object Detection", "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/qiangcvpr2013_final.pdf", "http://rogerioferis.com/publications/ChenCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d190.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Efficient_Maximum_Appearance_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619254", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.410", "http://doi.org/10.1109/CVPR.2013.410"]}, {"id": "9434524669777d281a8a7358f20181c9e157942e", "title": "VSEM: An open library for visual semantics representation", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9434/524669777d281a8a7358f20181c9e157942e.pdf"], "doi": []}, {"id": "0e0900b88c33b671be5dd2ded9885b6526d6b429", "title": "From captions to visual concepts and back", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.4952.pdf"], "doi": []}, {"id": "4d910c5ab0b70ddbef6be944077ed63821608135", "title": "On Dimensionality Reduction for Indexing and Retrieval of Large-Scale Solar Image Data", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4d91/0c5ab0b70ddbef6be944077ed63821608135.pdf"], "doi": []}, {"id": "9076183dcdb28ebb3e547f7ffd3f9d5d0faec531", "title": "Describing Video Contents in Natural Language", "year": "2012", "pdf": [], "doi": []}, {"id": "07764e1607d9e3d8094455adb658077996eb38c4", "title": "End-to-End Trained CNN Encoder-Decoder Networks for Image Steganography", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.07201.pdf"], "doi": []}, {"id": "46f135110c5fc5f158bc3ffce21b9ae946c7ff68", "title": "Adaptive NormalHedge for robust visual tracking", "year": "2015", "pdf": ["https://core.ac.uk/download/pdf/33581176.pdf", "https://pure.qub.ac.uk/portal/files/13941301/main_huiyu.pdf"], "doi": ["https://doi.org/10.1016/j.sigpro.2014.08.027"]}, {"id": "b961009dedea99f948650df7291a28f18bbfc1dc", "title": "Towards Automated Visual Monitoring of Individual Gorillas in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265544"]}, {"id": "7dbc61e2dc497e9dcff98e7df832780cc8a2b60c", "title": "A Flexible Object-of-Interest Annotation Framework for Online Video Portals", "year": "2012", "pdf": ["http://www.mdpi.com/1999-5903/4/1/179/pdf"], "doi": ["https://doi.org/10.3390/fi4010179"]}, {"id": "d4f454b24a7901dea14858808bbe277c7bee8ffb", "title": "Edge-based Component-Trees for Multi-Channel Image Segmentation", "year": "2017", "pdf": [], "doi": []}, {"id": "6768b558cc58e113096540c123ef3b2c2d2469a1", "title": "Maximum Margin Linear Classifiers in Unions of Subspaces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1a06/e518bf15015153b4973bb2e9e06e51485a4c.pdf"], "doi": []}, {"id": "ba6c19771926564e89be4ace7c33dc3da580249e", "title": "Utilisation du contexte pour l'indexation s\u00e9mantique des images et vid\u00e9os. (Using context for semantic indexing of images and videos)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ba6c/19771926564e89be4ace7c33dc3da580249e.pdf"], "doi": []}, {"id": "447b28c347172c6da0fb4d764a534fdee557b7f8", "title": "Studying Relationships between Human Gaze, Description, and Computer Vision", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618945"]}, {"id": "782b21e803d149955c627c063ae60efeae04a9b1", "title": "Analysis of Multilayer Neural Networks for Object Recognition", "year": "2014", "pdf": [], "doi": []}, {"id": "3e01f2fefe219bfeb112f1d82e76ebba4c0e2aac", "title": "Transfer learning via attributes for improved on-the-fly classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836097", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836097", "http://doi.org/10.1109/WACV.2014.6836097"]}, {"id": "ba156b81fe8fca1fd1bfb1c822e39205c4ff355b", "title": "Unsupervised Multi-class Joint Image Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909798"]}, {"id": "72048081cfe678f700c52e1c7a56713a8e0865b6", "title": "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02074.pdf"], "doi": []}, {"id": "9cd8a2d07f07d888fcf50aa0735d0831edcf5e46", "title": "Bag of contour fragments for robust shape classification", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/XinggangPR2014.pdf", "http://mc.eistar.net/~xwang/pubs/BagOfShape.pdf", "http://mclab.eic.hust.edu.cn/~xwang/pubs/BagOfShape.pdf", "https://cis.temple.edu/~latecki/Papers/XinggangPR2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.12.008"]}, {"id": "8c21cd8d5e98c77d727fc900450c6223f9e1fa24", "title": "DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8526799"]}, {"id": "7fe203374ba3ddc8462a7c775b276e53f09dd036", "title": "NavigationNet: A Large-scale Interactive Indoor Navigation Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08374.pdf"], "doi": []}, {"id": "8f8599012002dd3bbb6526b3be92d7a7355ad22a", "title": "Construction et \u00e9valuation d'un corpus pour la recherche d'instances d'images mus\u00e9ales", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8f85/99012002dd3bbb6526b3be92d7a7355ad22a.pdf"], "doi": []}, {"id": "ebf35073e122782f685a0d6c231622412f28a53b", "title": "A High-Quality Denoising Dataset for Smartphone Cameras", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578280"]}, {"id": "9463f71b2d8e291d5fc5a7db6b95b3d01e759b29", "title": "Describing Spatial Relationships between Objects in Images in English and French", "year": "2015", "pdf": ["http://www.emnlp2015.org/proceedings/VL/pdf/VL16.pdf"], "doi": ["https://doi.org/10.18653/v1%2FW15-2816", "http://aclweb.org/anthology/W15-2816", "https://doi.org/10.18653/v1/W15-2816"]}, {"id": "aaa6fe8045e1a071e1762cffe4f59e0bd508daf9", "title": "Single-Pedestrian Detection Aided by Two-Pedestrian Detection", "year": "2015", "pdf": ["http://www.ee.cuhk.edu.hk/~wlouyang/Papers/tpami15-ouyang_xgWang_xyZeng.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangZWtpami15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6994306", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2377734", "http://doi.org/10.1109/TPAMI.2014.2377734", "https://www.ncbi.nlm.nih.gov/pubmed/26353133"]}, {"id": "2a7007555f71e559c6aa33efbd3bd8b401638d82", "title": "Full interpretation of minimal images", "year": "2018", "pdf": ["https://perso.telecom-paristech.fr/bloch/AIC/articles/BenYosef2017.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S001002771730269X?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cognition.2017.10.006", "https://www.ncbi.nlm.nih.gov/pubmed/29107889"]}, {"id": "08c71fe89af5f168b373e92b44a7cf9d1755fb8c", "title": "The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition", "year": "2013", "pdf": ["http://infoscience.epfl.ch/record/182860/files/2013_ChavarriagaPRLETTERS_preprint.pdf?version=1", "https://www.researchgate.net/profile/Ricardo_Chavarriaga/publication/258031577_The_Opportunity_challenge_A_benchmark_database_for_on-body_sensor-based_activity_recognition/links/02e7e528146aa12213000000.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2012.12.014"]}, {"id": "8d73906f0a232e8b94200017e512446c1af4dd9d", "title": "Detection of U.S. Traffic Signs", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7116530"]}, {"id": "497857bce6ea1ed4889fb949a2f176072e2509c7", "title": "A Comparison of L_1 Norm and L_2 Norm Multiple Kernel SVMs in Image and Video Classification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5137808"]}, {"id": "1d5f704a98d82c34de96ceb80fa06552082effd3", "title": "Dynamic Zoom-in Network for Fast Object Detection in Large Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578822"]}, {"id": "3de71ddc07619c0dd6bbaa3f7b412a9262a0e761", "title": "Discriminatively Trained And-Or Tree Models for Object Detection", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d278.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Song_Discriminatively_Trained_And-Or_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/DiscriminativeAOG_cvpr2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619265", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.421", "http://doi.org/10.1109/CVPR.2013.421"]}, {"id": "18b4a20ed465972d9d8f3f8d8982d321acf45907", "title": "Mod\u00e9lisation de contextes pour l'annotation s\u00e9mantique de vid\u00e9os. (Context based modeling for video semantic annotation)", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/18b4/a20ed465972d9d8f3f8d8982d321acf45907.pdf"], "doi": []}, {"id": "992a614aa601c52b20729538ea25b62471ffe8bc", "title": "Towards Automatic Construction of Diverse, High-quality Image Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06495.pdf"], "doi": []}, {"id": "53822d61e829ef02a95a6c89fea082114fd3e16b", "title": "A General Framework for Tracking Multiple People from a Moving Camera", "year": "2013", "pdf": ["http://www.willowgarage.com/sites/default/files/pami_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6361406", "http://doi.org/10.1109/TPAMI.2012.248", "https://www.ncbi.nlm.nih.gov/pubmed/23681988", "https://www.wikidata.org/entity/Q48723090"]}, {"id": "323eb410e0d0978901a8baa670f905f280ab19ff", "title": "Inner-Scene Similarities as a Contextual Cue for Object Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04406.pdf"], "doi": []}, {"id": "7532996c27b199ed89b412a9f0df7483df83ea72", "title": "Committees of deep feedforward networks trained with few data", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5947.pdf"], "doi": []}, {"id": "bf7238df8b3a7fc0ebf0e8028a417c7e99fca8d8", "title": "An ontology-based framework for the automated analysis and interpretation of comic books' images", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.ins.2016.10.032", "https://hal.archives-ouvertes.fr/hal-01387033/document"]}, {"id": "c6e042f9db094d3a01c13a9d3120fc6898f40cb8", "title": "Multi-label Classification for Image Annotation via Sparse Similarity Voting", "year": "2010", "pdf": ["http://naosite.lb.nagasaki-u.ac.jp/dspace/bitstream/10069/27087/1/LNCS6469_344.pdf", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-22819-3_35"], "doi": ["https://doi.org/10.1007/978-3-642-22819-3_35"]}, {"id": "2dd6749ddffa620d2ac40275a436ecd89aa51a45", "title": "Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images", "year": "2017", "pdf": ["http://www.mdpi.com/2072-4292/9/5/500/pdf"], "doi": ["https://doi.org/10.3390/rs9050500", "https://www.preprints.org/manuscript/201704.0061/v1/download"]}, {"id": "478261574ddc6cf297611000735aa9808f8f0030", "title": "ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04405.pdf"], "doi": []}, {"id": "c5fcc36768428185c0ec0f04c82c9204c9ba962c", "title": "Deep Material-Aware Cross-Spectral Stereo Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578303"]}, {"id": "e4fc560a78e48bd927c2f6253f5fc489927bb15f", "title": "Detecting objects in internet videos AIMS Project Report", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e4fc/560a78e48bd927c2f6253f5fc489927bb15f.pdf"], "doi": []}, {"id": "2049db406168f63c46e5efd2d5ceb5941e3fdc7c", "title": "Region detection and matching for object recognition", "year": "2013", "pdf": [], "doi": []}, {"id": "e42b89b6ed1c6d79286a62ded1e4c090f474eb40", "title": "Using image analytics to monitor retail store shelves", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1147/JRD.2015.2394513"]}, {"id": "64fb6a04a3ec96b2ad266c381c75f4dc16ce3460", "title": "Hole-based traffic sign detection method for traffic signs with red rim", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-013-0879-0"]}, {"id": "24c20c28871fa923c3f45b745b9b9f2d3d280e81", "title": "Harmony potentials for joint classification and segmentation", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540048"]}, {"id": "06f1c079303937f6022e6157e6341c7921fe9428", "title": "Efficient Dense Rigid-Body Motion Segmentation and Estimation in RGB-D Video", "year": "2014", "pdf": ["http://ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf", "http://www.ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0796-3"]}, {"id": "333b877ea761c5c1d4ffa39654fc19bd015e245d", "title": "Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7450190"]}, {"id": "0ecaabbf846bbc78c91bf7ff71b998b61c0082d8", "title": "Automated Visual Fin Identification of Individual Great White Sharks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06323.pdf"], "doi": []}, {"id": "28863c0f3a1aa186bf1c281c73784cf36e2bf361", "title": "Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes", "year": "2014", "pdf": ["http://eprints.whiterose.ac.uk/84865/1/ICPR14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976833", "http://doi.org/10.1109/ICPR.2014.123"]}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "4446924885545b255164b32e42b8375bac699f23", "title": "Object semantic categorization based on ensemble SVM classifiers", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7867229"]}, {"id": "fc2c39b6439623c00b10e8d9826b1c82e8487805", "title": "Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Mandal_Generalized_Semantic_Preserving_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099765", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.282", "http://doi.org/10.1109/CVPR.2017.282"]}, {"id": "92cd808bba43c3702d8cbddde65ee42bf01676d4", "title": "A MultiPath Network for Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02135.pdf"], "doi": []}, {"id": "3bccc5621b14f2e6b07a5936acecdf957724c6ff", "title": "Convolutional Fisher Kernels for RGB-D Object Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7335478", "http://doi.ieeecomputersociety.org/10.1109/3DV.2015.23", "http://doi.org/10.1109/3DV.2015.23"]}, {"id": "0b67879b1d5db9da12490b41b4f52d12626e87bc", "title": "The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics", "year": "2012", "pdf": ["http://ijr.sagepub.com/content/31/8/927.full.pdf"], "doi": ["https://doi.org/10.1177/0278364912445831"]}, {"id": "98b4bf8cf8890f50b12e4fabe78bafd687a598c2", "title": "Semantic Labeling Based Vehicle Detection in Aerial Imagery", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354178"]}, {"id": "e03a2299caf2febcc7b87ee4e61e78ad8cb24e45", "title": "Combined Holistic and Local Patches for Recovering 6D Object Pose", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265469"]}, {"id": "26eadb307d62ab28713931beb8be9ff0f04c6ea0", "title": "Synthetic Viewpoint Prediction", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801548", "http://doi.ieeecomputersociety.org/10.1109/CRV.2016.58", "http://doi.org/10.1109/CRV.2016.58"]}, {"id": "55d01b7314d78fe3bc5ae03b6e414ecba14188f8", "title": "Cognitive Inspired WOR Framework to Reveal Image Semantics, for Efficient Content Based Image Retrieval", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2709034"]}, {"id": "05e9e85b5137016c93d042170e82f77bb551a108", "title": "A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Perazzi_A_Benchmark_Dataset_CVPR_2016_paper.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_poster_cvpr_2016.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_supplementary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780454", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.85", "http://doi.org/10.1109/CVPR.2016.85"]}, {"id": "64bff565c83c6ce3fac783d8d67191af99803701", "title": "Learning to Co-Generate Object Proposals with a Deep Structured Network", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/217984/files/HayderHeSalzmannCVPR16.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.281", "http://doi.org/10.1109/CVPR.2016.281"]}, {"id": "66dcc6771e35068a1ea2f6e6f4cdb9a40a4df450", "title": "A Linear Approximation to the chi^2 Kernel with Geometric Convergence", "year": "2012", "pdf": ["https://arxiv.org/pdf/1206.4074.pdf"], "doi": []}, {"id": "dbf2d57def648d1dae7717c92a32ff02157e5cb5", "title": "RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01054.pdf"], "doi": []}, {"id": "2284ba28bd3b1afaf06afb8c2a94638e350b3ecb", "title": "Boosting Object Proposals: From Pascal to COCO", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01226.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410538", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.181", "http://doi.org/10.1109/ICCV.2015.181"]}, {"id": "174b6d661b96840e27cd9435c2dbb8e538b2c8a6", "title": "Progressive Representation Adaptation for Weakly Supervised Object Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.04647.pdf"], "doi": []}, {"id": "b95cdaaa0d6c191bcc8169ce555219ad545258fb", "title": "Online streaming feature selection: a minimum redundancy, maximum significance approach", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10044-018-0690-7"]}, {"id": "0f780a8cb09627bec41000345c2771df2853224a", "title": "Automatic inspection of aeronautic components", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-017-0839-1"]}, {"id": "c1206330ba57a27fd0acc29dd39825bbf2d91060", "title": "A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization", "year": "2014", "pdf": ["http://www.stat.ucla.edu/~yuille/Pubs10_12/PartImportance_IJCV2014_online.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0705-9"]}, {"id": "4c500c84e16e5ebb50b33f9bcff36854e5131c16", "title": "All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1711.04450.pdf"], "doi": []}, {"id": "02f86370fd467f0d03948a94a346034d8a111ffd", "title": "Semantic Video Retrieval Using High Level Context", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/02f8/6370fd467f0d03948a94a346034d8a111ffd.pdf"], "doi": []}, {"id": "d111faa1990f80e3351ea1eef0e5fc177d4e44b4", "title": "Iteratively Training Look-Up Tables for Network Quantization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05355.pdf"], "doi": []}, {"id": "165c27a4bfb56562c807279bef9d15f1bced5ca0", "title": "Scene parsing using inference Embedded Deep Networks", "year": "2016", "pdf": ["http://www.adv-ci.com/publications/2016_PR_Bu.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.01.027"]}, {"id": "f348d23a88fd81e05585897629f2f230fcfe77c7", "title": "Transfer Learning of Deep Neural Networks for Visual Collaborative Maritime Asset Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8537839"]}, {"id": "87fe38a79ee12531bb618d4006a476b3a5256f3e", "title": "Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02426.pdf"], "doi": []}, {"id": "d8b8e165279ca2091d5af1440ed974db4792250f", "title": "Mean Response-Time Minimization of a Soft-Cascade Detector", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ad73/ff39869e223dba6e0ee94481b6c32766df86.pdf"], "doi": []}, {"id": "0f6a2ea69c325bcbfca85fb05cb5f542873b1bf8", "title": "Food Recognition and Detection with Minimum Supervision", "year": "2016", "pdf": [], "doi": []}, {"id": "df8aee8aef6f0c71f968979318dafcd53da04bdc", "title": "Bending the Curve: Improving the ROC Curve Through Error Redistribution", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06652.pdf"], "doi": []}, {"id": "70918453e9f147747b7a37d9159c8c1515a55ae4", "title": "Visual object tracking via the local soft cosine similarity", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2018.03.026"]}, {"id": "1876095a9387a84e594d81675c9c2c17cb10f7cf", "title": "Accurate segmentation of complex document image using digital shearlet transform with neutrosophic set as uncertainty handling tool", "year": "2017", "pdf": ["http://fs.gallup.unm.edu/neut/AccurateSegmentationOfComplex.pdf"], "doi": ["http://doi.org/10.1016/j.asoc.2017.08.005"]}, {"id": "ad52d047a44f20416f9dd6655cef54169d481454", "title": "Perceptual modeling in the problem of active object recognition in visual scenes", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.03.007"]}, {"id": "e096b11b3988441c0995c13742ad188a80f2b461", "title": "DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04702.pdf"], "doi": []}, {"id": "56e95fa26fb417776824e5adf6d6d511e5b30110", "title": "Object and Action Classification with Latent Window Parameters", "year": "2013", "pdf": ["http://homepages.inf.ed.ac.uk/hbilen/assets/pdf/Bilen14.pdf", "http://www.cse.iitk.ac.in/users/cs365/2014/_papers/bilen-namboodri-vanGool-13_object-action-classify-latent-windows.pdf", "http://www.cse.iitk.ac.in/users/vinaypn/papers/bilen2013ijcv.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0646-8"]}, {"id": "e7df750805d6c025d0a1a74a05a83bcf8cc63dd7", "title": "Assessment of crowdsourcing and gamification loss in user-assisted object segmentation", "year": "2015", "pdf": ["http://upcommons.upc.edu/bitstream/handle/2117/81293/asknseek.pdf;jsessionid=469B72384B7C56D4A331D68A53942294?sequence=1"], "doi": ["https://doi.org/10.1007/s11042-015-2897-6"]}, {"id": "85eedee59aca5f2a591265a2173cf3a2799cdc94", "title": "Action and Event Recognition with Fisher Vectors on a Compact Feature Set", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751336"]}, {"id": "3463aeda3a8d33bc88d8383cc4ad451a6775c75a", "title": "Understanding Indoor Scenes Using 3D Geometric Phrases", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/choi_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a033.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Choi_Understanding_Indoor_Scenes_2013_CVPR_paper.pdf", "https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41340.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618856", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.12", "http://doi.org/10.1109/CVPR.2013.12"]}, {"id": "70b420850e16ec2afe42d5c0006742d9045b3e7f", "title": "If You Can't Beat Them, Join Them: Learning with Noisy Data", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2806231"]}, {"id": "985b6a10c1bb9c8908d6d299c7ab0bba76df2259", "title": "Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Bilinski_Dense_Decoder_Shortcut_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578788", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00690", "http://doi.org/10.1109/CVPR.2018.00690"]}, {"id": "82451d0ae2e0154b5f9cd096af199c35319e911a", "title": "Image spam filtering using convolutional neural networks", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00779-018-1168-8"]}, {"id": "8ff6294535acf46abf523b879f20685de0692a8c", "title": "Bayes Risk for Large Scale Hierarchical Top-K Image Classification", "year": "2013", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/153936/eth-6877-01.pdf?isAllowed=y&sequence=1"], "doi": ["https://doi.org/10.3929/ethz-a-009767867"]}, {"id": "d97224063697392f073e467005e89973d2be7d65", "title": "Recherche de motifs fr\u00e9quents dans une base de cartes combinatoires. (Frequent pattern discovery in combinatorial maps databases)", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/02d1/8e600804a1a6ff354856d8dcb80ceb4c8a43.pdf"], "doi": []}, {"id": "74a1336f1fbc8b7bb3b6e159711af1a91336ce22", "title": "An overview of traffic sign detection methods", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/74a1/336f1fbc8b7bb3b6e159711af1a91336ce22.pdf"], "doi": []}, {"id": "e33bc0cd79d92d6868989a29c3ab06b75f808590", "title": "Deep Nets: What have they ever done for Vision?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04025.pdf"], "doi": []}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"], "doi": []}, {"id": "14d1a458f49e251cbbab34349e379469300a2bae", "title": "Scene Parsing with Object Instances and Occlusion Ordering", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tighe_Scene_Parsing_with_2014_CVPR_paper.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-cvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909874", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.479", "http://doi.org/10.1109/CVPR.2014.479"]}, {"id": "a6cd743c29667ab5baef9d66d6558247b1cd00b0", "title": "New in-situ training image and one-shot detection model without adaptation GENETIM detection model for synset bottle", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a6cd/743c29667ab5baef9d66d6558247b1cd00b0.pdf"], "doi": []}, {"id": "9b8746e9480c3bdcaa6efca33096369422c624aa", "title": "Algae Detection Using Computer Vision and Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10847.pdf"], "doi": []}, {"id": "3325860c0c82a93b2eac654f5324dd6a776f609e", "title": "2D Human Pose Estimation: New Benchmark and State of the Art Analysis", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909866"]}, {"id": "896e2776174dcb86d311789ab83a266151d0595b", "title": "A Novel Performance Evaluation Methodology for Single-Target Trackers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01313.pdf"], "doi": []}, {"id": "bf26ccc92bca086195c5f250aef2e409a1c7cd85", "title": "Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8215524", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2017.61", "http://doi.org/10.1109/ICDM.2017.61"]}, {"id": "ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1", "title": "An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff3a/9545e73adea5275a1c7c71c5e3fe2e35a9a1.pdf"], "doi": []}, {"id": "21d1225296aad388406824eb113715c4b90ed3da", "title": "Dirichlet-Based Concentric Circle Feature Transform for Breast Mass Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7372146", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2015.50", "http://doi.org/10.1109/ICTAI.2015.50"]}, {"id": "3f0b0ffe315ee111fc028561ec4ecf2c93f94a05", "title": "Pose Normalization Network for Object Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f0b/0ffe315ee111fc028561ec4ecf2c93f94a05.pdf"], "doi": []}, {"id": "75b987f86af2bc7f68edc45be240dd30e1ef2699", "title": "Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/75b9/87f86af2bc7f68edc45be240dd30e1ef2699.pdf"], "doi": []}, {"id": "6a405e7284ff7e2127a241d60646b4abd3da92f2", "title": "Generate To Adapt : Unsupervised Domain Adaptation using Generative Adversarial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "c0e551acb063c9cd73dea28ab8963f850b6f1148", "title": "A Comparison of Techniques based on Image Classification and Object Detection to Count Cars and Non-empty Stalls in Parking Spaces", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0e5/51acb063c9cd73dea28ab8963f850b6f1148.pdf"], "doi": []}, {"id": "8b45a87f3dfc8eccd745161effbf2457a9097e6a", "title": "WEAKLY SUPERVISED SEMANTIC SEGMENTATION 3 priors can give good pixel labelling results", "year": "2017", "pdf": [], "doi": []}, {"id": "25d75339720787e7003f2f103cf38cee8175972a", "title": "Optimistic and Pessimistic Neural Networks for Scene and Object Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07982.pdf"], "doi": []}, {"id": "12d9a4233a16ea08fbb1de853b6a97b4f4952c23", "title": "Tractable Structured Prediction using the Permutohedral Lattice", "year": "2017", "pdf": ["https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-01.pdf?isAllowed=y&sequence=1", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/130429/eth-50807-02.pdf?isAllowed=y&sequence=2"], "doi": ["https://doi.org/10.3929/ethz-a-010882665"]}, {"id": "33d101fe276fd5e6220c9b40c33e1a1d1389e5bb", "title": "DOC: DEEP OCCLUSION ESTIMATION FROM A SIN-", "year": "2016", "pdf": [], "doi": []}, {"id": "c6c691b772822881c5c52b779100928f0d54fdd7", "title": "Using Visual Saliency to Improve Human Detection with Convolutional Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "11a3084768f035c824662a85a348f02466693d2a", "title": "Lifting Object Detection Datasets into 3D", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.06465.pdf"], "doi": []}, {"id": "4be10db13a9210e078d78a4a072c569d9bbd9939", "title": "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06098.pdf"], "doi": []}, {"id": "18a849b1f336e3c3b7c0ee311c9ccde582d7214f", "title": "Efficiently Scaling Up Crowdsourced Video Annotation A Set of Best Practices for High Quality , Economical Video Labeling", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/18a8/49b1f336e3c3b7c0ee311c9ccde582d7214f.pdf"], "doi": []}, {"id": "13e424d502bf539108ad6f5cc877cfb1255dbee0", "title": "Improving Vision-Based Self-Positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045914"]}, {"id": "1dbd7653ede6af15d539f64cb2128752ca029e44", "title": "Hollywood 3D: Recognizing Actions in 3D Natural Scenes", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619280"]}, {"id": "f4c45108cb41051010d8a5175b8da23eb246c967", "title": "Improving Image Captioning by Leveraging Knowledge Graphs", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8658870"]}, {"id": "1b3ee5455956a40c6e9e09ccda0f4fb162838629", "title": "The Recognition of License Plate Restrictions Based on Faster R-CNN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1b3e/e5455956a40c6e9e09ccda0f4fb162838629.pdf"], "doi": []}, {"id": "5c45a1abc51fe059987bcfba19b1d5076a8d9afb", "title": "Autonomous Object Category Learning for Service Robots Using Internet Resources", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c45/a1abc51fe059987bcfba19b1d5076a8d9afb.pdf"], "doi": []}, {"id": "4a31b3fcc346bf3235efe1c0fb310833570cef27", "title": "Learning Intelligent Dialogs for Bounding Box Annotation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579054"]}, {"id": "ed62a56b81511d7fcf6d247014987163d9668982", "title": "\"What happens if...\" Learning to Predict the Effect of Forces in Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05600.pdf"], "doi": []}, {"id": "29aa3dc15450e6eb46c34f30f0e224e5ea16615e", "title": "Sketch Me That Shoe", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_Sketch_Me_That_CVPR_2016_paper.pdf", "http://vision.cs.utexas.edu/381V-fall2016/slides/hsiao_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yu_Sketch_Me_That_CVPR_2016_paper.pdf", "https://www.eecs.qmul.ac.uk/~qian/SketchMeThatShoe.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780462", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.93", "http://doi.org/10.1109/CVPR.2016.93"]}, {"id": "1999d5e0700bf8fa50bb1bab5b981bda1d111a4f", "title": "Monocular Road Terrain Detection by Combining Visual and Spatial Information", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/73b1/10df4809d0a015f90fa6e7a7dce351bcc52e.pdf", "https://www.researchgate.net/profile/Jannik_Fritsch/publication/261073577_Monocular_Road_Terrain_Detection_by_Combining_Visual_and_Spatial_Information/links/5475ef240cf29afed612e5a8.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6766705", "http://doi.org/10.1109/TITS.2014.2303899"]}, {"id": "34072c31c2c778df471c9f0c43ba6198dfd0db32", "title": "Arbitrary Category Classification of Websites Based on Image Content", "year": "2015", "pdf": ["http://users.ics.aalto.fi/juha/papers/ELM2014.pdf", "http://www.engineering.uiowa.edu/sites/default/files/files/newpaper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7083681", "http://doi.org/10.1109/MCI.2015.2405317"]}, {"id": "d23ac99cdab20a9a3eca2784a5b262649c717988", "title": "Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02753.pdf"], "doi": []}, {"id": "22cf367d14e646914cc959bbcd402df0c20cd0dc", "title": "Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.04024.pdf"], "doi": []}, {"id": "c9d73438bf5e66bd0c4f512c5a4e53c3e33e721e", "title": "Adding spatial distribution clue to aggregated vector in image retrieval", "year": "2018", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0247-0?site=jivp-eurasipjournals.springeropen.com"], "doi": ["http://doi.org/10.1186/s13640-018-0247-0"]}, {"id": "a74b045f28670e8f85173e0e483581520d667f02", "title": "Object tracking using Langevin Monte Carlo particle filter and locality sensitive histogram based likelihood model", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.cag.2017.07.023"]}, {"id": "c56da136b8d62125009a131f6dc21fcd0dd6a559", "title": "ICDAR2017 Robust Reading Challenge on Text Extraction from Biomedical Literature Figures (DeTEXT)", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270166", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.235", "http://doi.org/10.1109/ICDAR.2017.235"]}, {"id": "02e5372e439c09f8a8ce8c4784b044ce116ca11c", "title": "DeepCorrect: Correcting DNN models against Image Distortions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02406.pdf"], "doi": []}, {"id": "e8b2a98f87b7b2593b4a046464c1ec63bfd13b51", "title": "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.05413.pdf"], "doi": []}, {"id": "5fdbebf417da2427744d2c60f413b5375e68993e", "title": "Discriminative Sub-categorization", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619062"]}, {"id": "32bebe84ffbd4fd81f0e5bb30dbc90774aa3b14b", "title": "Segmentation Results Stimuli Final Saliency Map Ground Truth Constructed Graph CCA", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/32be/be84ffbd4fd81f0e5bb30dbc90774aa3b14b.pdf"], "doi": []}, {"id": "a02e5d8e2a10176dc5e2566e1b492823a0cb6ee2", "title": "A learning framework for higher-order consistency models in multi-class pixel labeling problems", "year": "2014", "pdf": [], "doi": []}, {"id": "383d64b27fb3cdf2beff43f3beb8caac8c21a886", "title": "Detecting activities of daily living in first-person camera views", "year": "2012", "pdf": ["http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12.pdf", "http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12_poster.pdf", "http://people.csail.mit.edu/hpirsiav/papers/adl_cvpr12_slides.pdf", "http://vision.ics.uci.edu/papers/PirsiavashR_CVPR_2012_1/PirsiavashR_CVPR_2012_1.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w06-cagdas.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/dinesh-expt.pdf", "http://www.ics.uci.edu/~dramanan/papers/ADL_2012.pdf", "https://www.cs.cmu.edu/~deva/papers/ADL_2012.pdf", "https://www.csee.umbc.edu/~hpirsiav/papers/adl_cvpr12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248010", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248010", "http://doi.org/10.1109/CVPR.2012.6248010"]}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "64c1158a4061882d610f1cffd5ddb1e8fc9a74b4", "title": "Gated Feedback Refinement Network for Dense Image Labeling", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Islam_Gated_Feedback_Refinement_CVPR_2017_paper.pdf", "http://www.cs.umanitoba.ca/~ywang/papers/cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100001", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.518", "http://doi.org/10.1109/CVPR.2017.518"]}, {"id": "284be8be0c6bedc36dfe43229bc84345ab0aedc2", "title": "Faster Training of Mask R-CNN by Focusing on Instance Boundaries", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07069.pdf"], "doi": []}, {"id": "be2d326fa588b4ffd1d8d3d4408ae680e1a26277", "title": "JOURNA A Survey on Modern Era \u2019 s Online Object Tracking Algorithms", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/be2d/326fa588b4ffd1d8d3d4408ae680e1a26277.pdf"], "doi": []}, {"id": "2a2232f2972191a0606d588aa4f13c9f27d1972d", "title": "InstanceCut: From Edges to Instances with MultiCut", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.08272.pdf"], "doi": []}, {"id": "029cabb6f3f6a824590e735feb1d8557646db8a6", "title": "One-Bit Object Detection: On learning to localize objects with minimal supervision", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.1024.pdf"], "doi": []}, {"id": "fd23dda0abe2d6a3ae0c8253c89110364cdecbc9", "title": "Deep Learning for People Detection on Beach Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575616", "http://doi.ieeecomputersociety.org/10.1109/BRACIS.2018.00045", "http://doi.org/10.1109/BRACIS.2018.00045"]}, {"id": "c3c4f0caf1b42b6466306360c4ebe16f66489df0", "title": "Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11266.pdf"], "doi": []}, {"id": "03fd6774f57aaed9320060e4527121c59e9eca2b", "title": "Intrinsic spatial pyramid matching for deformable 3D shape retrieval", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-013-0041-9"]}, {"id": "304aa9bfd6bc32d3d87abce6a229d973270bbd73", "title": "Fast Neural Cell Detection Using Light-Weight SSD Neural Network", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w8/papers/Yi_Fast_Neural_Cell_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014853", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.119", "http://doi.org/10.1109/CVPRW.2017.119"]}, {"id": "c8ba499e8d8daa32637885f03137f41d61023bf9", "title": "Weak supervision for detecting object classes from activities", "year": "2017", "pdf": ["https://ps.is.tue.mpg.de/uploads_file/attachment/attachment/296/weak_supervision_object_detection.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.09.006"]}, {"id": "cd1a636c1261208084cb8395c877c7ca22c76df1", "title": "Fast Deep Vehicle Detection in Aerial Images", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926624.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926624", "http://doi.org/10.1109/WACV.2017.41"]}, {"id": "101c7305f141145c4d168dfa40284e0ad86a0d9b", "title": "Active Object Localization with Deep Reinforcement Learning", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410643"]}, {"id": "48922520e6de0954a83f26977b2b50b7fbfdcf61", "title": "A survey of sketch-based image retrieval", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-018-0953-8"]}, {"id": "c37fe13f94dfc2f3494a35a63336689ce4392135", "title": "MPNET: An End-to-End Deep Neural Network for Object Detection in Surveillance Video", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8365094", "http://doi.org/10.1109/ACCESS.2018.2836921"]}, {"id": "0f8f9253c81fd90fe44d474cc185d4ae2487e5b4", "title": "NYC3DCars: A Dataset of 3D Vehicles in Geographic Context", "year": "2013", "pdf": ["http://nyc3d.cs.cornell.edu/static/paper.pdf", "http://www.cs.cornell.edu/~snavely/publications/papers/nyc3dcars_iccv13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Matzen_NYC3DCars_A_Dataset_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751204", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.99", "http://doi.org/10.1109/ICCV.2013.99"]}, {"id": "e8ffef3d4d74720e766e506e175e533bdc8ee705", "title": "Object Detection Networks on Convolutional Feature Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1504.06066.pdf"], "doi": []}, {"id": "1daf971c087f5e21dbae831231377cbe9bb2f188", "title": "Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619272"]}, {"id": "8d74fbd46f9d5d615e350c4593cbc5b5ca63fa8b", "title": "Data driven visual tracking via representation learning and online multi-class LPBoost learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2014.0388"]}, {"id": "7af667b6c1b4b32f513dd70fe3ef36fcf344a741", "title": "A transfer learning based approach for automated grading of Gliomas using deep Residual Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7af6/67b6c1b4b32f513dd70fe3ef36fcf344a741.pdf"], "doi": []}, {"id": "d9dafc343727db2b6060c868d748f97eff6bac7d", "title": "Improved pedestrian detection using motion segmentation and silhouette orientation", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-017-4933-1"]}, {"id": "3b304585d5af0afe98a85d6e0559315fbf3a7807", "title": "An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection", "year": "2013", "pdf": ["http://welcome.isr.ist.utl.pt/img/pdfs/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf", "http://welcome.isr.tecnico.ulisboa.pt/wp-content/uploads/2015/05/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-38628-2_34"]}, {"id": "99df9e95b3f3d187636918a65277baf7c98cbfc5", "title": "An efficient subsequence search for video anomaly detection and localization", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-015-2453-4", "https://www.wikidata.org/entity/Q56907428"]}, {"id": "832246357de85108cb910e773c203997448c570a", "title": "Recurrently Target-Attending Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780530"]}, {"id": "74031f12dde0be772a742b96bf5f4c8d9fa41ec7", "title": "Joint Object-Material Category Segmentation from Audio-Visual Cues", "year": "2015", "pdf": ["https://arxiv.org/pdf/1601.02220.pdf"], "doi": []}, {"id": "9452d029f5d140aece06619b6fd8e47b070cacd1", "title": "Urban classification by pixel and object-based approaches for very high resolution imagery", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9452/d029f5d140aece06619b6fd8e47b070cacd1.pdf"], "doi": []}, {"id": "7268747251a61d1ce3285baade15c372d4c566d6", "title": "Person Attribute Recognition with a Jointly-Trained Holistic CNN Model", "year": "2015", "pdf": ["http://web-info8.informatik.rwth-aachen.de/media/papers/sudowe_spitzer_leibe_ICCV_LaP_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Sudowe_Person_Attribute_Recognition_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406400", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.51", "http://doi.org/10.1109/ICCVW.2015.51"]}, {"id": "81763bb718dc6630be210c056a250b1c2ed57fd7", "title": "3D Semantic Parsing of Large-Scale Indoor Spaces", "year": "2016", "pdf": ["http://buildingparser.stanford.edu/images/CVPR_2016_poster.pdf", "http://buildingparser.stanford.edu/images/supp_mat.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780539", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.170", "http://doi.org/10.1109/CVPR.2016.170"]}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"id": "a228ba020bd321d29ab24485cb2988a62707fd64", "title": "Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study", "year": "2013", "pdf": ["https://engineering.purdue.edu/RVL/Publications/Srivastava2013.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2013.06.009"]}, {"id": "037f2e9d2d2aa15c3d476f4aa358da96707b4b44", "title": "Square Localization for Efficient and Accurate Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410651"]}, {"id": "bf3aae7293f664d512c0904916d804327af22f52", "title": "STDnet: A ConvNet for Small Target Detection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bf3a/ae7293f664d512c0904916d804327af22f52.pdf"], "doi": []}, {"id": "d6b514a68abff3ab14af9fc0152cd5b28bd0192c", "title": "Instance Segmentation by Deep Coloring", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10007.pdf"], "doi": []}, {"id": "0de46e6768acaa71745406d646573644b975dc62", "title": "Scene-Domain Active Part Models for Object Representation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410644"]}, {"id": "e24792ec2a6cb8971b2f6befb4b97b9fe2d79952", "title": "Bottom-up Object Detection by Grouping Extreme and Center Points", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08043.pdf"], "doi": []}, {"id": "1d7029a974f950de61f3980704956b43f1a06e7b", "title": "Efficient Optimization for Rank-Based Loss Functions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578487"]}, {"id": "22a8b7ca2e6449cad31ae4f71bb3587751087e77", "title": "DeepBox: Learning Objectness with Convolutional Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410642"]}, {"id": "9c4365a56fb3cf41b15712657b15f7422ca0dab2", "title": "A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/9c43/65a56fb3cf41b15712657b15f7422ca0dab2.pdf"], "doi": []}, {"id": "37b9ea1bf5b6ce8ecb656628af3933c64c632c2b", "title": "Transfer Learning for 3 D LiDAR-based Human Classification with a Mobile Robot", "year": "2018", "pdf": [], "doi": []}, {"id": "f79c4bf83371627ba139b61eb427463b93cd687b", "title": "Learning from Few Examples for Visual Recognition Problems", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f79c/4bf83371627ba139b61eb427463b93cd687b.pdf"], "doi": []}, {"id": "084bd219dd239dc4c9a02621a5333d3bc1446566", "title": "DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.00072.pdf"], "doi": []}, {"id": "1c9da6cef6b1be9c116b26dd52c341c0adcf7db2", "title": "Interactive Perception: Leveraging Action in Perception and Perception in Action", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.03670.pdf"], "doi": []}, {"id": "549c719c4429812dff4d02753d2db11dd490b2ae", "title": "YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00824.pdf"], "doi": []}, {"id": "e430d1ae3a28ec342f767cdfb19aeb76c20a3f21", "title": "Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8592805"]}, {"id": "3b4ad6b789837a6a878f33c0b7ddb1b1fc7daaf8", "title": "Fine-grained recognition of plants from images", "year": "2017", "pdf": ["https://plantmethods.biomedcentral.com/track/pdf/10.1186/s13007-017-0265-4?site=plantmethods.biomedcentral.com"], "doi": ["https://doi.org/10.1186/s13007-017-0265-4", "https://www.ncbi.nlm.nih.gov/pubmed/29299049"]}, {"id": "f92ceb6875f614bbccb25e4b11ca55353773890f", "title": "Saliency Detection via Boundary Prior and Center Prior", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f92c/eb6875f614bbccb25e4b11ca55353773890f.pdf"], "doi": []}, {"id": "828b73e8a4d539eeae82601b5f5a4392818c6430", "title": "Long-Term Tracking by Decision Making", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/828b/73e8a4d539eeae82601b5f5a4392818c6430.pdf"], "doi": []}, {"id": "2114b25727a21275e88e30dad0423752f6047dae", "title": "Generic Visual Recognition on Non-Uniform Distributions Based on AdaBoost Codebooks", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/cac0/c534e02784a3a873690d213dd8c92b81992f.pdf"], "doi": []}, {"id": "7cb4d30b3bfb0d4b02499c15c7c7a9dfddda8049", "title": "Object Tracking using L 1 / L 2 Sparse Coding and Multi Scale Max Pooling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7cb4/d30b3bfb0d4b02499c15c7c7a9dfddda8049.pdf"], "doi": []}, {"id": "b7efecec654acd8831d045e728b54356c697c9c8", "title": "Learning Semantic Segmentation with Diverse Supervision", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354268"]}, {"id": "eacb95e81156c48f4ff7470567ba205225170fa7", "title": "Learning Aerial Image Segmentation From Online Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06879.pdf"], "doi": []}, {"id": "14b311b848b51b7b5345573a289b1cedcbb4d581", "title": "Instance Similarity Deep Hashing for Multi-Label Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02987.pdf"], "doi": []}, {"id": "24ff832171cb774087a614152c21f54589bf7523", "title": "Beat-Event Detection in Action Movie Franchises", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.03755.pdf"], "doi": []}, {"id": "ffd73d1956163a4160ec2c96b3ab256f79fc92e8", "title": "Attributes as Semantic Units between Natural Language and Visual Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03249.pdf"], "doi": []}, {"id": "99c37dba394b100ba8f3d895c0ee0e57d5852347", "title": "Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects", "year": "2014", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2014/papers/Zia_Are_Cars_Just_2014_CVPR_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D2/2014/zia14cvpr.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/cvpr2014zz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909865", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.470", "http://doi.org/10.1109/CVPR.2014.470"]}, {"id": "f6b649023e49a341f042f9a17b2f923db58ccf35", "title": "Feature representation of RGB-D images using joint spatial-depth feature pooling", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2016.04.001"]}, {"id": "f9f86d087e84eaf0e6a09575982aa7b41fa62451", "title": "Image Synthesis for Self-Supervised Visual Representation Learning", "year": "2018", "pdf": [], "doi": ["https://www.base-search.net/Record/6ecfef13a126fd20b941bbb80477b94bd643db70d224a43b1d0b0cb61aa181b1"]}, {"id": "b85c198ce09ffc4037582a544c7ffb6ebaeff198", "title": "Efficient Multiple Instance Metric Learning Using Weakly Supervised Data", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Law_Efficient_Multiple_Instance_CVPR_2017_paper.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2017/mimlca_cvpr_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100113", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.630", "http://doi.org/10.1109/CVPR.2017.630"]}, {"id": "c77c094faf7b1a4e293609a0909c7c50b468675a", "title": "Satyam: Democratizing Groundtruth for Machine Vision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03621.pdf"], "doi": []}, {"id": "2a5667702b0f1ff77dde8fb3e2e10d4e05e8de9d", "title": "Scene Parsing through ADE20K Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Scene_Parsing_Through_CVPR_2017_paper.pdf", "http://people.csail.mit.edu/bzhou/publication/scene-parse-camera-ready.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100027", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.544", "http://doi.org/10.1109/CVPR.2017.544"]}, {"id": "a422c2bd9030c8a2c89b6db79be2743c4a4609fb", "title": "Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02886.pdf"], "doi": []}, {"id": "46a1172c784c3741e79781ef2353209b08dbea67", "title": "YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition", "year": "2013", "pdf": ["http://www.cs.utexas.edu/users/ml/papers/guadarrama.iccv13.pdf", "http://www.cs.utexas.edu/users/ml/posters/guadarrama.iccv13.pdf", "http://www.eecs.berkeley.edu/~sguada/pdfs/2013-ICCV-YouTube2Text-final.pdf", "https://www.cs.utexas.edu/~vsub/pdf/YouTube2Text_Recognizing_and_2013_ICCV_paper.pdf", "https://www.icsi.berkeley.edu/pubs/vision/youtube2text13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751448", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.337", "http://doi.org/10.1109/ICCV.2013.337"]}, {"id": "670b10569c5f978ee70d99cf8c14ad9cabb9d454", "title": "Masked face detection via a modified LeNet", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.056"]}, {"id": "4acf31294e940d85a4eea56c244205e3a66d8b8e", "title": "Improving Product Classification Using Images", "year": "2011", "pdf": ["http://talukdar.net/papers/ImageText-ICDM2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6137235", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2011.79", "http://doi.org/10.1109/ICDM.2011.79"]}, {"id": "057f5ffda59a3412f1e62159e96f84faa352628e", "title": "Tracking with scattering descriptor", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2013.0124"]}, {"id": "4404a99e2f6db3e703609168a3595e0fbdeabc38", "title": "Online Video SEEDS for Temporal Window Objectness", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Van_Den_Bergh_Online_Video_SEEDS_2013_ICCV_paper.pdf", "http://www.mvdblive.org/research/videoseeds.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01056.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751156", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.54", "http://doi.org/10.1109/ICCV.2013.54"]}, {"id": "59ee0f67bcf2d8ea0bbbfcbc71159725fc3a7059", "title": "Object Detection with Appearance-based Mixture Models Anonymous CVPR submission", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/59ee/0f67bcf2d8ea0bbbfcbc71159725fc3a7059.pdf"], "doi": []}, {"id": "e478c322de923337627487d8a688f5922b45b2ff", "title": "Automatic Garage Door Opening Using License Plate Recognition and Fingerprint Verification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e478/c322de923337627487d8a688f5922b45b2ff.pdf"], "doi": []}, {"id": "8a3b481d8e06b4acf6e95d8bc2484016f5862668", "title": "Text Detection in Traffic Informatory Signs Using Synthetic Data", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270075", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.144", "http://doi.org/10.1109/ICDAR.2017.144"]}, {"id": "7c594c0b9482624745dd95767f3eebde1ee7f043", "title": "Representing Visual Scenes for Robot Control", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7c59/4c0b9482624745dd95767f3eebde1ee7f043.pdf"], "doi": []}, {"id": "0ceda9dae8b9f322df65ca2ef02caca9758aec6f", "title": "Context-Aware CNNs for Person Head Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410688"]}, {"id": "5f0e9cc18374a670dfea4698424c9d48494f3093", "title": "Online Domain Adaptation for Multi-Object Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.00776.pdf"], "doi": []}, {"id": "d47d72afc590f5b96117a5227d45157135da21ad", "title": "Attribute-based knowledge transfer learning for human pose estimation", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2012.05.032"]}, {"id": "05db46c7745c360fa5938ee204c81efdcc84c1da", "title": "An Empirical Evaluation of Current Convolutional Architectures\u2019 Ability to Manage Nuisance Location and Scale Variability", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.06795.pdf"], "doi": []}, {"id": "0d4cdadd765c3003b0bd5f762b84bef93408f548", "title": "Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909618"]}, {"id": "5d16ce0c66cd87dd48cb8c53f5b6a7ee73d33abb", "title": "Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797075", "http://doi.org/10.1109/DICTA.2016.7797075"]}, {"id": "050e5b4043009e54dff9319877fe947885db2d6e", "title": "Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780764", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.395", "http://doi.org/10.1109/CVPR.2016.395"]}, {"id": "926dd1c4db38356ac5bf87c1a4c6b93625f9a850", "title": "Pulling Actions out of Context: Explicit Separation for Effective Combination", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578834"]}, {"id": "b705ca751a947e3b761e2305b41891051525d9df", "title": "Exploring Context with Deep Structured Models for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.03183.pdf"], "doi": []}, {"id": "be48b5dcd10ab834cd68d5b2a24187180e2b408f", "title": "Constrained Low-Rank Learning Using Least Squares-Based Regularization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.04870.pdf"], "doi": []}, {"id": "b2f63863e73a8565895ca3d9d7d6a1e10a7695b1", "title": "Efficient Neural Network Compression via Transfer Learning for Industrial Optical Inspection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b2f6/3863e73a8565895ca3d9d7d6a1e10a7695b1.pdf"], "doi": []}, {"id": "044ae9738c2445d4fda30fcd6c289eddf8b3add9", "title": "Multiple Instance Learning: A Survey of Problem Characteristics and Applications", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.03365.pdf"], "doi": []}, {"id": "2ba540ca70c7dee81e13768792aa7571952987f6", "title": "Drivable Road Detection Based on Dilated FPN with Feature Aggregation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8372075", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00172", "http://doi.org/10.1109/ICTAI.2017.00172"]}, {"id": "6c9f45c76b4f96fe66d8e1d7b31f89b7cc6caa44", "title": "DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10295.pdf"], "doi": []}, {"id": "a0ae4ffe252f32514240cf6d82d52538de5fb78c", "title": "AN ALGORITHM FOR PEDESTRIAN DETECTION IN MULTISPECTRAL IMAGE SEQUENCES", "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0ae/4ffe252f32514240cf6d82d52538de5fb78c.pdf"], "doi": []}, {"id": "115e8a4f76a57b893c985ea4f7530b90d071679c", "title": "FSSD: Feature Fusion Single Shot Multibox Detector", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00960.pdf"], "doi": []}, {"id": "92f2639dbd9f7c4284b7012809e4d2c407834774", "title": "Point-based Medialness 2 D Shape Description and Identification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/92f2/639dbd9f7c4284b7012809e4d2c407834774.pdf"], "doi": []}, {"id": "4ace7c8edd9467c7d5bfa00e942531e7b889e650", "title": "Depth-Based Hand Pose Estimation: Data, Methods, and Challenges", "year": "2015", "pdf": ["http://vision.ics.uci.edu/papers/SupancicRYSR_ICCV_2015/SupancicRYSR_ICCV_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Supancic_Depth-Based_Hand_Pose_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410574", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.217", "http://doi.org/10.1109/ICCV.2015.217"]}, {"id": "4c454fda214e00c9cba4bb759da78949a4130873", "title": "Specialization of a Generic Pedestrian Detector to a Specific Traffic Scene by the Sequential Monte-Carlo Filter and the Faster R-CNN", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4c45/4fda214e00c9cba4bb759da78949a4130873.pdf"], "doi": []}, {"id": "f541dac9d0d49cadb3cfd018e87b26e03e3f13aa", "title": "Trio Constrained Adaptive Noise Removal ( TCANR ) Mechanism for Salt and Pepper Noise in Image Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f541/dac9d0d49cadb3cfd018e87b26e03e3f13aa.pdf"], "doi": []}, {"id": "aa2ad3df24d8d8c4a4d2fe85f0d4e635d595f0a2", "title": "PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c029/edca476ddda4050c3c67748056c6189cd1e3.pdf"], "doi": []}, {"id": "d250e57f6b7e06bb1dac41c8b89700086a85999e", "title": "Self-Supervised Generalisation with Meta Auxiliary Learning", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.08933.pdf"], "doi": []}, {"id": "de35ea60396629b2d1ceb73df56a97ed21012680", "title": "Robust object tracking via multi-scale patch based sparse coding histogram", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-016-3289-2"]}, {"id": "a0e286f3c6a72c857ffd03bd8ab9a9f9b98c4432", "title": "AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.04452.pdf"], "doi": []}, {"id": "19339e816d8006ad462868b01812b03eb463ead1", "title": "Collective activity localization by spatiality preservation search", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1080/01691864.2016.1172506", "https://www.wikidata.org/entity/Q58025855"]}, {"id": "899e7ff67aa2630edc8776758cc5d65823f099c1", "title": "G-CNN: Object Detection via Grid Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097417", "http://doi.org/10.1109/ACCESS.2017.2770178"]}, {"id": "139ab79a0aae5d4346f907b7b29288d09ef373fa", "title": "A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08412.pdf"], "doi": []}, {"id": "94780b00dc2807ec507ae91500b622ec7a8ddb12", "title": "Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06295.pdf"], "doi": []}, {"id": "fa496716a5b8520e94a0126b5baa4f636623c997", "title": "Revisiting Knowledge Transfer for Training Object Class Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06128.pdf"], "doi": []}, {"id": "c2cb4da617168c76c4560a01de8b5e68b5250749", "title": "FineTag: Multi-attribute Classification at Fine-grained Level in Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07124.pdf"], "doi": []}, {"id": "87d5b53580ca5f77ccc3ff157337ef3456308943", "title": "Augmented Autoencoders for object orientation estimation trained on synthetic RGB images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/87d5/b53580ca5f77ccc3ff157337ef3456308943.pdf"], "doi": []}, {"id": "eb2333a759788903848c49111a03c4c00d188e70", "title": "Color-based and Rotation Invariant Self-similarities", "year": "2017", "pdf": ["http://www.scitepress.org/Papers/2017/61075/61075.pdf"], "doi": ["https://doi.org/10.5220/0006107503440351"]}, {"id": "af9cc1767f50f63291d7ca9ab709f6849cd1e46c", "title": "Graph-Driven Diffusion and Random Walk Schemes for Image Segmentation.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/af9c/c1767f50f63291d7ca9ab709f6849cd1e46c.pdf"], "doi": []}, {"id": "4fe91feab83d947a0d3bd85adcf18ab1b3d9e05f", "title": "Transductive People Tracking in Unconstrained Surveillance", "year": "2016", "pdf": ["http://imagelab.ing.unimore.it/Pubblicazioni/pubblicazioni/2015TCSVT.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7067436", "http://doi.org/10.1109/TCSVT.2015.2416555"]}, {"id": "8eaade06b75dac977574d05ce1058b86df059d47", "title": "Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation", "year": "2014", "pdf": ["http://people.eecs.berkeley.edu/~sgupta/pdf/ijcv14a.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0777-6"]}, {"id": "b9b21cfa7de32677151571ab44d27d2d246b7a03", "title": "Towards Explanation of DNN-based Prediction with Guided Feature Inversion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00506.pdf"], "doi": []}, {"id": "4152d2c8585f7e3f85d3b3d84036171de104cbd7", "title": "Rethinking ImageNet Pre-training", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08883.pdf"], "doi": []}, {"id": "b31f37fd71b7b45e6fd8978960e271a7db1ee212", "title": "DICTING IMAGE ROTATIONS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b31f/37fd71b7b45e6fd8978960e271a7db1ee212.pdf"], "doi": []}, {"id": "149f3cc167b046dc790b1f4f1c48eeb31e898403", "title": "A study of vehicle detector generalization on U.S. highway", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0669.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795567", "http://doi.org/10.1109/ITSC.2016.7795567"]}, {"id": "1a1654456decd116f4ca84c98006dfda0a8a3134", "title": "INTEGRATED VISUAL INFORMATION FOR MARITIME SURVEILLANCE", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1a16/54456decd116f4ca84c98006dfda0a8a3134.pdf"], "doi": []}, {"id": "3e00dd86c084d8680409c65c1a48f1b3aa864eb7", "title": "Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1801.02439.pdf"], "doi": []}, {"id": "1e5edbd39b4c61f785515e117a74e2d280aefbe7", "title": "The urrent tate and TRL ssessment of eople racking echnology for ideo urveillance pplications", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1e5e/dbd39b4c61f785515e117a74e2d280aefbe7.pdf"], "doi": []}, {"id": "2e1f0b522014c942197e51b556eeb48b6ad66cda", "title": "Automatic object classification using motion blob based local feature fusion for traffic scene surveillance", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1007/s11704-012-1296-7"]}, {"id": "25858dc59faf2630bf0eefe23297ce262370cff0", "title": "Monitoring Giraffe Behavior in Thermal Video", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7046812"]}, {"id": "e545f1c06799bfd2bd5f7eaed085fd60a388202f", "title": "A top-down manner-based DCNN architecture for semantic image segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e545/f1c06799bfd2bd5f7eaed085fd60a388202f.pdf"], "doi": []}, {"id": "7b3a63d030d03e536ddcbc217bc8d6fd630e3b53", "title": "xView: Objects in Context in Overhead Imagery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07856.pdf"], "doi": []}, {"id": "4a6049e1926cc8e574301cfb229599cdc0a64e62", "title": "Characterizing the performance of an image-based recognizer for planar mechanical linkages in textbook graphics and hand-drawn sketches", "year": "2015", "pdf": ["http://vdel.me.cmu.edu/publications/2015cag/paper.pdf"], "doi": ["http://doi.org/10.1016/j.cag.2015.06.002"]}, {"id": "ec6f1a4b9367675833f0111c44a22ba217fcbd23", "title": "Visual Tracking via Constrained Incremental Non-negative Matrix Factorization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045563", "http://doi.org/10.1109/LSP.2015.2404856"]}, {"id": "5950512e21114236208b9eaeebc9a09735e367a6", "title": "Master research Internship Internship report Segmentation and recognition of symbols for printed and handwritten music scores", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5950/512e21114236208b9eaeebc9a09735e367a6.pdf"], "doi": []}, {"id": "c7780cff11068fecb322a43e459c56267a88aee7", "title": "DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion", "year": "2017", "pdf": [], "doi": []}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"], "doi": []}, {"id": "19b6b0649cc669791c799c52fc56bdc556f06916", "title": "Efficient Model Evaluation with Bilinear Separation Model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045964"]}, {"id": "cf58f90e14b49ce35548d89c7339b7fc4db9ba4f", "title": "Generating Diverse Image Datasets with Limited Labeling", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2967285"]}, {"id": "4ff486644be5e451784d6ae83f8073c8320fa974", "title": "Visual Tracking with Convolutional Neural Network", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7379494", "http://doi.org/10.1109/SMC.2015.362"]}, {"id": "a43f460f6c1abbe8eb0097594df6eafc0f651d49", "title": "Saliency-based object recognition in video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a43f/460f6c1abbe8eb0097594df6eafc0f651d49.pdf"], "doi": []}, {"id": "b4df58f1fd8a3bd0815e7fb957f7f07fddd77338", "title": "Rethinking the sGLOH Descriptor", "year": "2018", "pdf": ["http://cvg.dsi.unifi.it/colombo_now/CC/Public/sGLOH2_TPAMI_2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911291", "http://doi.org/10.1109/TPAMI.2017.2697849", "https://www.ncbi.nlm.nih.gov/pubmed/28459683", "https://www.wikidata.org/entity/Q38811217"]}, {"id": "ceee9ba72a021ae5604db04a93fdcff421d60216", "title": "Encoder Based Lifelong Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01920.pdf"], "doi": []}, {"id": "c4a0e89793961dc486964802df55ae73fbba60ee", "title": "Soccer: Who Has the Ball? Generating Visual Analytics and Player Statistics", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w34/Theagarajan_Soccer_Who_Has_CVPR_2018_paper.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/FINAL-published-soccer-ball-generating.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575390", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00227", "http://doi.org/10.1109/CVPRW.2018.00227"]}, {"id": "2622d2467f19bc60427f8ea495515e7da82316c9", "title": "Tell Me Where to Look: Guided Attention Inference Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579058"]}, {"id": "ccee8af5667d1d3bccf30baf2c6f049f031bb5ad", "title": "Mixing Hierarchical Contexts for Object Recognition", "year": "2011", "pdf": ["http://web.ing.puc.cl/~asoto/papers/Peralta-2011.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-25085-9_27"]}, {"id": "c96f012f4915398259e7e223810c57898b5e1a76", "title": "Fast LIDAR-based Road Detection Using Convolutional Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c96f/012f4915398259e7e223810c57898b5e1a76.pdf"], "doi": []}, {"id": "7142e659d6466717cdb8a242d8e34fce176b3f4a", "title": "Improved scene identification and object detection on egocentric vision of daily activities", "year": "2017", "pdf": ["http://crcv.ucf.edu/news&info/DefenseBooklet_FA17.pdf", "http://crcv.ucf.edu/papers/cviu2016-gonzalo.pdf", "http://vision.eecs.ucf.edu/papers/cviu2016-gonzalo.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.10.016"]}, {"id": "3b483c986b973856e016f761ec312c1a339766a5", "title": "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578516"]}, {"id": "1281e443d2cf1c1dd71ed3b7b0376d408d0958af", "title": "SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks", "year": "2015", "pdf": ["http://www.cs.cornell.edu/~xhuang/publications/salicon_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Huang_SALICON_Reducing_the_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410395", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.38", "http://doi.org/10.1109/ICCV.2015.38"]}, {"id": "71f7be73a575f3689b0137446289d02462e1c5b0", "title": "Adaptive Multi-Scale Information Flow for Object Detection.", "year": "2018", "pdf": ["http://bmvc2018.org/contents/papers/0266.pdf"], "doi": []}, {"id": "581fb0f0405c7f0e60610d88ceaceb9af44d8569", "title": "Final Report : Smart Trash Net : Waste Localization and Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581f/b0f0405c7f0e60610d88ceaceb9af44d8569.pdf"], "doi": []}, {"id": "eaa7c6293c9d858bd4c9897a5dfc7c670f2a8671", "title": "Distant Vehicle Detection Using Radar and Vision", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10951.pdf"], "doi": []}, {"id": "2cea306754ed83eaf1d0433abbfb05b5a4c4cf48", "title": "BIG-OH: BInarization of gradient orientation histograms", "year": "2014", "pdf": ["http://vgl-ait.org/mdailey/uploads/publication_file/filename/110/Baber-BIG-OH.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.08.006"]}, {"id": "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "title": "Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb2a/b9caa61b021c1cd7aff6d08163768faba99e.pdf"], "doi": []}, {"id": "5a364ecb2d10b637c63b885d27eb372390232277", "title": "Unsupervised Robust Feature-Based Partition Ensembling to Discover Categories", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789641"]}, {"id": "1114c2aba97a5782a48341817811df2438d0fdbf", "title": "Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07498.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "8211c974ec152e79235cb57a03ba2971e913508f", "title": "Multimodal Image Retrieval", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-012-0006-4"]}, {"id": "eb69f89588e9538194750f12bf8c8df6d5301f3b", "title": "Object Tracking by a Combination of Discriminative Global and Generative Multi-Scale Local Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eb69/f89588e9538194750f12bf8c8df6d5301f3b.pdf"], "doi": []}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.27", "http://doi.org/10.1109/FG.2017.27"]}, {"id": "d2e8efaa0d095c22455fe4eab260f94994bfb116", "title": "Stand-alone quality estimation of background subtraction algorithms", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2017.08.005"]}, {"id": "abe9f3b91fd26fa1b50cd685c0d20debfb372f73", "title": "The Pascal Visual Object Classes Challenge: A Retrospective", "year": "2014", "pdf": ["http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc14.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Everingham15/everingham15.pdf", "https://www.research.ed.ac.uk/portal/files/20017166/ijcv_voc14.pdf"], "doi": ["http://doi.org/10.1007/s11263-014-0733-5"]}, {"id": "10d3f77225eca1d576268ba84ed83f230a5e47c4", "title": "Crafting a multi-task CNN for viewpoint estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03894.pdf"], "doi": []}, {"id": "a01c7eec51fa901b2526325f563480c152c58ee5", "title": "Contour Box: Rejecting Object Proposals without Explicit Closed Contours", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf", "http://www.cse.cuhk.edu.hk/leojia/papers/contour_iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410591", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.234", "http://doi.org/10.1109/ICCV.2015.234"]}, {"id": "3db4bdee7bc03239ef25d23cf8dc14ce5a5300e2", "title": "Sparse Coding for Object Recognition", "year": "2013", "pdf": [], "doi": []}, {"id": "32cde90437ab5a70cf003ea36f66f2de0e24b3ab", "title": "The Cityscapes Dataset for Semantic Urban Scene Understanding", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.01685.pdf"], "doi": []}, {"id": "04e1c7618e4ef3e16159b27c522ddf94068c4f99", "title": "Reconstructing PASCAL VOC", "year": "2014", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/cvpr14_reconstruct_pascal_slides.pdf", "http://home.isr.uc.pt/~joaoluis/papers/cvpr2014_1.pdf", "http://people.eecs.berkeley.edu/~carreira/papers/cvpr14_reconstruct_pascal_slides.pdf", "http://people.eecs.berkeley.edu/~carreira/papers/cvpr2014_1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vicente_Reconstructing_PASCAL_VOC_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909407", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.13", "http://doi.org/10.1109/CVPR.2014.13"]}, {"id": "ec187cedb69b389d06da26b17d889020e36ba6f6", "title": "ModaNet: A Large-scale Street Fashion Dataset with Polygon Annotations", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3240652"]}, {"id": "729f20fa5928514768f4e0d848e74e5eecc33174", "title": "Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270088"]}, {"id": "8ecf9e6428edd33986e8c6a143870e57142fd5a1", "title": "DOTA: A Large-Scale Dataset for Object Detection in Aerial Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578516"]}, {"id": "8bb4e1ddfec4c5868c31685b6dfe8673df1d3e38", "title": "What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6990522"]}, {"id": "1fef45786e707e6b9b8517b0403e596ecbdea6a5", "title": "Sketch-based manga retrieval using manga109 dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.04389.pdf"], "doi": []}, {"id": "12660f0defc6580e566c0fa2ac909971d6c6883b", "title": "The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780721", "http://doi.org/10.1109/CVPR.2016.352", "https://www.wikidata.org/entity/Q57840870"]}, {"id": "dc7a6156c90b5e9b0ff3e95413e9139024c460a5", "title": "Semantic Understanding of Scenes Through the ADE20K Dataset", "year": "2016", "pdf": ["http://arxiv.org/pdf/1608.05442", "http://arxiv.org/pdf/1608.05442v1.pdf", "http://bzhou.ie.cuhk.edu.hk/publication/ADE20K_IJCV.pdf", "https://arxiv.org/pdf/1608.05442.pdf", "https://export.arxiv.org/pdf/1608.05442"], "doi": ["https://doi.org/10.1007/s11263-018-1140-0"]}, {"id": "b7ff61c0807d50266fdd3a9770a7d66399b5f087", "title": "Drishti-GS: Retinal image dataset for optic nerve head(ONH) segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6867807"]}, {"id": "58a6eb3584b2f5df2f25d39a218904d510cae516", "title": "The UAVid Dataset for Video Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.10438.pdf"], "doi": []}, {"id": "2f4df08d9072fc2ac181b7fced6a245315ce05c8", "title": "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909475"]}, {"id": "dcb6f06631021811091ce691592b12a237c12907", "title": "SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438999", "http://doi.org/10.1109/TMM.2018.2865686"]}, {"id": "127316fbe268c78c519ceb23d41100e86639418a", "title": "CNN Features Off-the-Shelf: An Astounding Baseline for Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1403.6382.pdf"], "doi": []}, {"id": "e74f9b7f8eec6ba4704c206b93bc8079af3da4bd", "title": "ImageNet Large Scale Visual Recognition Challenge", "year": "2014", "pdf": ["https://dspace.mit.edu/bitstream/1721.1/104944/1/11263_2015_Article_816.pdf", "http://arxiv.org/pdf/1409.0575v1.pdf", "http://dspace.mit.edu/bitstream/handle/1721.1/104944/11263_2015_Article_816.pdf;jsessionid=7277F2E4B792AF15009A8777BCC84DD1?sequence=1", "http://hci.stanford.edu/publications/2015/scenegraphs/imagenet-challenge.pdf", "https://arxiv.org/pdf/1409.0575.pdf", "https://dspace.mit.edu/bitstream/handle/1721.1/104944/11263_2015_Article_816.pdf;jsessionid=D47A767FE49C452E89782919F8DCDCE6?sequence=1"], "doi": ["https://doi.org/10.1007/s11263-015-0816-y", "http://dspace.mit.edu/openaccess-disseminate/1721.1/104944", "https://www.wikidata.org/entity/Q56594393"]}, {"id": "39978ba7c83333475d6825d0ff897692933895fc", "title": "Conditional Random Fields as Recurrent Neural Networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410536"]}, {"id": "aa4cc6506e837390486e5b836fb3dac8d15daafa", "title": "ThermalGAN: Multimodal Color-to-Thermal Image Translation for Person Re-identification in Multispectral Dataset", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_ECCVW_2018/papers/11134/Kniaz_ThermalGAN_Multimodal_Color-to-Thermal_Image_Translation_for_Person_Re-Identification_in_Multispectral_ECCVW_2018_paper.pdf"], "doi": ["https://doi.org/10.1007/978-3-030-11024-6_46"]}, {"id": "562463fafacca4bbe5256e318eb628bf915f4114", "title": "SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7797084"]}, {"id": "2c0b510ebf995ef172cb64ed7ce24aa7903dced8", "title": "Learning Rich Features from RGB-D Images for Object Detection and Segmentation", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.5736.pdf"], "doi": []}, {"id": "21a1654b856cf0c64e60e58258669b374cb05539", "title": "You Only Look Once: Unified, Real-Time Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.02640.pdf"], "doi": []}, {"id": "38b6540ddd5beebffd05047c78183f7575559fb2", "title": "Selective Search for Object Recognition", "year": "2013", "pdf": ["https://pure.uva.nl/ws/files/19494140/UijlingsIJCV2013.pdf", "http://graphics.cs.cmu.edu/courses/16-824/2016_spring/slides/seg_3.pdf", "http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf", "http://www.cs.cornell.edu/courses/cs7670/2014sp/slides/VisionSeminar14.pdf", "http://www.tpbin.com/Uploads/Subjects/de55b048-461f-4962-b851-fd020c47c982.pdf", "https://staff.fnwi.uva.nl/th.gevers/pub/GeversIJCV2013.pdf", "https://webcourse.cs.technion.ac.il/236815/Spring2016/ho/WCFiles/01_object_proposals_6pp.pdf"], "doi": ["https://doi.org/10.1007/s11263-013-0620-5"]}, {"id": "616b246e332573af1f4859aa91440280774c183a", "title": "The Pascal Visual Object Classes Challenge: A Retrospective", "year": "2014", "pdf": ["https://www.pure.ed.ac.uk/ws/files/20017166/ijcv_voc14.pdf", "http://homepages.inf.ed.ac.uk/ckiw/postscript/ijcv_voc14.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Everingham15/everingham15.pdf", "https://www.research.ed.ac.uk/portal/files/20017166/ijcv_voc14.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0733-5"]}, {"id": "abe80983d7773b51f1e30c02c50bcbe774c15a12", "title": "PLS/OPLS models in metabolomics: the impact of permutation of dataset rows on the K-fold cross-validation quality parameters.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25382277", "https://doi.org/10.1039/c4mb00414k"]}, {"id": "784da2a7b53a16d2243f747e14946cc5e3476af0", "title": "VQA: Visual Question Answering", "year": "2015", "pdf": ["http://arxiv.org/pdf/1505.00468"], "doi": ["https://doi.org/10.1109/iccv.2015.279", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.279"]}, {"id": "4cef5476f9da50c1a8fefdcb7114863966f61d67", "title": "Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780717"]}, {"id": "7d39d69b23424446f0400ef603b2e3e22d0309d6", "title": "YOLO9000: Better, Faster, Stronger", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.08242.pdf"], "doi": []}, {"id": "20a78d3145279dcd799cd7a856ae2714f4863a16", "title": "SSD: Single Shot MultiBox Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.02325.pdf"], "doi": []}, {"id": "28fa525ca1e101335e877bb1f6999b6ccf476959", "title": "Semantic Segmentation with Second-Order Pooling", "year": "2012", "pdf": ["http://home.isr.uc.pt/~joaoluis/papers/eccv2012.pdf", "http://videolectures.net/site/normal_dl/tag=725540/eccv2012_carreira_semantic_01.pdf", "http://www.eecs.berkeley.edu/~carreira/papers/eccv2012.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33786-4_32"]}, {"id": "1e9b1f6061ef779e3ad0819c2832a29168eaeb9d", "title": "Instance-Aware Semantic Segmentation via Multi-task Network Cascades", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780712"]}, {"id": "28ef938aaa312d76df988f636e248a6b267b6352", "title": "Unsupervised Visual Domain Adaptation Using Subspace Alignment", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751479"]}, {"id": "cab372bc3824780cce20d9dd1c22d4df39ed081a", "title": "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.00915.pdf"], "doi": []}, {"id": "851a884a89a95968c2edcad9787994ccaa8b51a8", "title": "BING: Binarized normed gradients for objectness estimation at 300fps", "year": "2018", "pdf": ["http://mmcheng.net/mftp/Papers/ObjectnessBING.pdf", "http://vision.ia.ac.cn/zh/senimar/reports/2014.5.6PPT.pdf"], "doi": ["https://doi.org/10.1007/s41095-018-0120-1"]}, {"id": "94c5ced03a6f896a4b3bc5a98b8b2baf349d8852", "title": "Fully Convolutional Instance-Aware Semantic Segmentation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099955"]}, {"id": "cbba352a37426a21b020d1ba8f61e5bca9ca20ae", "title": "Fully convolutional networks for semantic segmentation", "year": "2015", "pdf": ["http://arxiv.org/pdf/1411.4038"], "doi": ["https://doi.org/10.1109/cvpr.2015.7298965", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298965"]}, {"id": "79cfb51a51fc093f66aac8e858afe2e14d4a1f20", "title": "Focal Loss for Dense Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237586"]}, {"id": "74cd38f585cfc48b7e01d95e127204d36b3c02c0", "title": "Anthropogenic VOC in Abidjan, southern West Africa: from source quantification to atmospheric impacts", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/74cd/38f585cfc48b7e01d95e127204d36b3c02c0.pdf"], "doi": []}, {"id": "71b7178df5d2b112d07e45038cb5637208659ff7", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "a971fb267c150834ba823156841eca8845ae1c7f", "title": "Hierarchical Saliency Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618997"]}, {"id": "83d1118c2b2995a3e0cf9b6159e4c59e85cabb7e", "title": "Multiscale Combinatorial Grouping", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909443"]}, {"id": "f251d1d8eb5f3e5b8cf2b4c4550f25ef4c832b5e", "title": "Regionlets for Generic Object Detection", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1109/iccv.2013.10", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.10"]}, {"id": "2c03df8b48bf3fa39054345bafabfeff15bfd11d", "title": "Deep Residual Learning for Image Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780459"]}, {"id": "1a2a770d23b4a171fa81de62a78a3deb0588f238", "title": "Visualizing and Understanding Convolutional Networks", "year": "2013", "pdf": ["https://arxiv.org/pdf/1311.2901.pdf"], "doi": []}, {"id": "3dd2f70f48588e9bb89f1e5eec7f0d8750dd920a", "title": "Fast R-CNN", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410526"]}, {"id": "c1994ba5946456fc70948c549daf62363f13fa2d", "title": "Indoor Segmentation and Support Inference from RGBD Images", "year": "2012", "pdf": ["http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf", "http://cs.nyu.edu/~silberman/papers/indoor_seg_support_supplementary.pdf", "http://videolectures.net/site/normal_dl/tag=725527/eccv2012_silberman_images_01.pdf", "http://web.engr.illinois.edu/~dhoiem/publications/eccv2012_indoorkinect_nathan.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33715-4_54"]}, {"id": "abd1c342495432171beb7ca8fd9551ef13cbd0ff", "title": "ImageNet Classification with Deep Convolutional Neural Networks", "year": "2012", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3065386"]}, {"id": "6de2b1058c5b717878cce4e7e50d3a372cc4aaa6", "title": "Generative Adversarial Nets", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6de2/b1058c5b717878cce4e7e50d3a372cc4aaa6.pdf"], "doi": []}, {"id": "16fc1065c296840cb0f8ca62601aa17b7f0a02bf", "title": "Object Detection with Discriminatively Trained Part-Based Models", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/16fc/1065c296840cb0f8ca62601aa17b7f0a02bf.pdf"], "doi": []}, {"id": "3a0130cfab8192a397d79fc1c7c398470157cf48", "title": "Mask R-CNN.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29994331", "https://doi.org/10.1109/tpami.2018.2844175"]}, {"id": "0023582fde36430c7e3ae81611a14e558c8f4bae", "title": "The Algorithmic Foundations of Differential Privacy", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7f7e/9fd30ff0d1937f83ed0705de49cb9a7e7719.pdf"], "doi": []}, {"id": "2640a376c2b51f83420526646613e85d730eab37", "title": "Saliency Detection via Graph-Based Manifold Ranking", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619251"]}, {"id": "4a3fd686ce675659f238c46c629b055cd58651a0", "title": "Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099834"]}, {"id": "2f56b1ac5b9faac9527b6814778925e9242cf5fd", "title": "Training Region-Based Object Detectors with Online Hard Example Mining", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780458"]}, {"id": "272216c1f097706721096669d85b2843c23fa77d", "title": "Adam: A Method for Stochastic Optimization", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6980.pdf"], "doi": []}, {"id": "2a94c84383ee3de5e6211d43d16e7de387f68878", "title": "Feature Pyramid Networks for Object Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099589"]}, {"id": "3cdb1364c3e66443e1c2182474d44b2fb01cd584", "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00561.pdf"], "doi": []}, {"id": "33da83b54410af11d0cd18fd07c74e1a99f67e84", "title": "DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1310.1531.pdf"], "doi": []}, {"id": "8ac2736683dac9a467602ee19f5a290096259148", "title": "HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.00600.pdf"], "doi": []}, {"id": "0da75bded3ae15e255f5bd376960cfeffa173b4e", "title": "The Role of Context for Object Detection and Semantic Segmentation in the Wild", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909514"]}, {"id": "522fab628aab972f39835521e31564b4b6c64fe5", "title": "Vehicle Classification on Low-resolution and Occluded images : A low-cost labeled dataset for augmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/522f/ab628aab972f39835521e31564b4b6c64fe5.pdf"], "doi": []}, {"id": "f78db8e59ba354258c3eb4fff2ec67564975436f", "title": "Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.09263.pdf"], "doi": []}, {"id": "3aa681914a7da79f7d7293f51a058eefe61c8bb7", "title": "MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/0222/42d33927ef415754e116df1a122961edb6e9.pdf"], "doi": []}, {"id": "7df435390fa21d623d066d76c53c8cd6b8211891", "title": "What Makes a Patch Distinct?", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618995"]}, {"id": "e3ea1c7a3c6cc15590ab5e62a171536fe01b9b1c", "title": "Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410492"]}, {"id": "2b7c2e4e888f4ca6bc8def17497504ea4012aa0f", "title": "Articulated Pose Estimation Using Discriminative Armlet Classifiers", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619273"]}, {"id": "5f5c075e8675d00a2e12bf12a99dafeba444e199", "title": "Semantic Segmentation with Reverse Attention", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06426.pdf"], "doi": []}, {"id": "2bcf46c0b52d8e9535ab3dcfdfb793a3da2a6271", "title": "Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7781017"]}, {"id": "c88c233c50f49b4b85a8702d5ee384d96fca8c23", "title": "Object-Proposal Evaluation Protocol is \u2018Gameable\u2019", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780466"]}, {"id": "09e15bb266da86d0a9525d2a94ac0b38f0b53b88", "title": "Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2031.pdf"], "doi": []}, {"id": "6a1b76f1ef876061ec479ab9bc13fcd517eb4188", "title": "Large Kernel Matters \u2014 Improve Semantic Segmentation by Global Convolutional Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02719.pdf"], "doi": []}, {"id": "f0550daaf6b173759aa5a2e39a3a9d874d65e858", "title": "Improvements to Context Based Self-Supervised Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579071"]}, {"id": "1779b6a17ee68afafb6801477b165f19901689b2", "title": "Object Contour Detection with a Fully Convolutional Encoder-Decoder Network", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780397"]}, {"id": "cdfe4e46d949b68c682e554c402d16679fd7247c", "title": "Stacked Deconvolutional Network for Semantic Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.04943.pdf"], "doi": []}, {"id": "b9c830332608afbbf452a20afeff38ca5aac2e27", "title": "Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410477"]}, {"id": "b92a1ed9622b8268ae3ac9090e25789fc41cc9b8", "title": "Pooling in image representation: The visual codeword point of view", "year": "2013", "pdf": ["http://cedric.cnam.fr/~thomen/papers/avila_CVIU2012_final.pdf", "http://webia.lip6.fr/~thomen/papers/avila_CVIU2012_accepted.pdf"], "doi": ["https://doi.org/10.1016/j.cviu.2012.09.007"]}, {"id": "031055c241b92d66b6984643eb9e05fd605f24e2", "title": "Multi-fold MIL Training for Weakly Supervised Object Localization", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Cinbis_Multi-fold_MIL_Training_2014_CVPR_paper.pdf", "https://hal.inria.fr/hal-00975746/PDF/paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909705", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.309", "http://doi.org/10.1109/CVPR.2014.309"]}, {"id": "2a1f38e4451e826e01c9874954ba7c6f32ff79f4", "title": "Boosting Self-Supervised Learning via Knowledge Transfer", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8579073"]}, {"id": "f2666a91f6844d7815f758ec1afbac18caf392f8", "title": "Single-Shot Object Detection with Enriched Semantics", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578707"]}, {"id": "57bfbd06e94c5def35c1dde901bb4f1c839dbcdf", "title": "Deep patch learning for weakly supervised object classification and discovery", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02429.pdf"], "doi": []}, {"id": "1cf25786f1e473fdbfcd817cfa37b0ad12806e72", "title": "Co-segmentation by Composition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751271"]}, {"id": "ab9d87a03ce3538ff42b6c26d87e676107cc392c", "title": "Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619260"]}, {"id": "3bde1aae1db3577938ffe910a9de5a1f187840e9", "title": "RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780684"]}, {"id": "647c6ac5e0bfee0241d583650f18c6314f28aaee", "title": "Segmentation Driven Object Detection with Fisher Vectors", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Cinbis_Segmentation_Driven_Object_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751480", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.369", "http://doi.org/10.1109/ICCV.2013.369"]}, {"id": "67490b6f34c827f107b046adeef0f5476132d4f8", "title": "How good are detection proposals, really?", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6962.pdf"], "doi": []}, {"id": "636cea485f77373ae18e32ac8e1c4e37555db5bd", "title": "BING: Binarized Normed Gradients for Objectness Estimation at 300fps", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909816"]}, {"id": "3fd90098551bf88c7509521adf1c0ba9b5dfeb57", "title": "Attribute-Based Classification for Zero-Shot Visual Object Categorization", "year": "2014", "pdf": ["http://pub.ist.ac.at/~chl/papers/lampert-pami2013.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/zsl2016/zslpubs/lampert13pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6571196", "http://doi.org/10.1109/TPAMI.2013.140", "https://www.ncbi.nlm.nih.gov/pubmed/24457503", "https://www.wikidata.org/entity/Q38437353"]}, {"id": "15e024d8f5625ec03c8ac592fbc093687cfb5f02", "title": "The Visual Object Tracking VOT2015 Challenge Results", "year": "2015", "pdf": ["http://cell.missouri.edu/media/publications/Matej-KristanRengarajan_VOT2015-challenge-results_ICCVW-2015.pdf", "http://cmp.felk.cvut.cz/~vojirtom/publications/Kristan2013The.pdf", "http://data.votchallenge.net/vot2015/presentations/vot_2015_paper.pdf", "http://liris.cnrs.fr/Documents/Liris-6875.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w14/papers/Kristan_The_Visual_Object_ICCV_2015_paper.pdf", "http://www.epics-project.eu/publications/2013_kristan_iccvw.pdf", "http://www.epics-project.eu/publications/2014_kristan_iccvw.pdf", "https://hal.archives-ouvertes.fr/hal-01336773/file/Kristan2015The.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674992/visual_kristan_ICCVW_2015_ps.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406428", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.79", "http://doi.org/10.1109/ICCVW.2015.79", "https://hal.archives-ouvertes.fr/hal-01336773/document"]}, {"id": "a1bcdb820f6f0dde108996a18eefb239ef0e9566", "title": "Visual Tracking: An Experimental Survey.", "year": "2014", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26353314", "https://doi.org/10.1109/TPAMI.2013.230"]}, {"id": "1af794673d64112edf60f071ca24066e6a227d2b", "title": "Online Object Tracking: A Benchmark", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619156"]}, {"id": "d082f64b8a0a07d105207eb822be58ffb61b353a", "title": "EMOTIC: Emotions in Context Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w41/papers/Lapedriza_EMOTIC_Emotions_in_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8015019", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.285", "http://doi.org/10.1109/CVPRW.2017.285"]}, {"id": "2822a883d149956934a20614d6934c6ddaac6857", "title": "A survey of appearance models in visual object tracking", "year": "2013", "pdf": ["https://arxiv.org/pdf/1303.4803.pdf"], "doi": []}, {"id": "f727837e03a039d9bcec6d02cd87256f5a5854a4", "title": "Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03409.pdf"], "doi": []}, {"id": "ebe5a4c2dc3ca55a5aeedcd25a98ca6e446ce9cc", "title": "Hippocampal Activity Patterns Carry Information about Objects in Temporal Context", "year": "2014", "pdf": ["http://cogns.northwestern.edu/cbmg/pdfs/2.Hsieh_2014.pdf", "http://dml.ucdavis.edu/uploads/6/1/9/7/61974117/hseih_2014_hippocampal.pdf", "http://orca.cf.ac.uk/96034/7/Hsieh_NEURON-D-13-01629.1.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0896627314000208", "https://doi.org/10.1016/j.neuron.2014.01.015", "https://www.ncbi.nlm.nih.gov/pubmed/24607234"]}, {"id": "b7d540cd0de72e984cdec44afa4a4d039cfd5eea", "title": "Object Tracking Benchmark", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami15_tracking_benchmark.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001050", "http://doi.org/10.1109/TPAMI.2014.2388226", "https://www.ncbi.nlm.nih.gov/pubmed/26353130", "https://www.wikidata.org/entity/Q35768210"]}, {"id": "aa23d33983b1abd2d8a677040eb875e93c478a7f", "title": "Measuring the Objectness of Image Windows", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/alexe11-techreport.pdf", "http://groups.inf.ed.ac.uk/calvin/Publications/alexe12pami.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/techreports/eth_biwi_00882.pdf", "https://www.research.ed.ac.uk/portal/files/17686204/Alexe_et_al_2010_Measuring_the_objectnessi.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6133291", "http://doi.org/10.1109/TPAMI.2012.28", "https://www.ncbi.nlm.nih.gov/pubmed/22248633", "https://www.wikidata.org/entity/Q50666022"]}, {"id": "149e5e5eeea5a9015ab5ae755f62c45ef70fa79b", "title": "Hierarchical Convolutional Features for Visual Tracking", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/iccv15_tracking.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Ma_Hierarchical_Convolutional_Features_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Ma_Hierarchical_Convolutional_Features_ICCV_2015_paper.pdf", "https://filebox.ece.vt.edu/~jbhuang/poster/ICCV_2015_HCF_Poster.pdf", "https://filebox.ece.vt.edu/~jbhuang/slides/ICCV_2015_HCF_Slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410709", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.352", "http://doi.org/10.1109/ICCV.2015.352"]}, {"id": "05375a7489f0a84d47a316bacb4d86e8a7bda0df", "title": "Analysis of Scores, Datasets, and Models in Visual Saliency Prediction", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751224"]}, {"id": "58e6eaacaab3fbf9b307a8aec1c614027ff501ce", "title": "Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition", "year": "2012", "pdf": ["http://109.101.234.42/documente/publications/19-62.pdf", "http://sminchisescu.ins.uni-bonn.de/papers/ms12eccv.pdf", "http://web.cs.hacettepe.edu.tr/~erkut/bil722.f12/w09-levent.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-33709-3_60"]}, {"id": "36c91b1342c1357877e89b4c43f8eadb39755c0b", "title": "Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses", "year": "2012", "pdf": ["http://cs.stanford.edu/groups/vision/documents/YaoFei-Fei_PAMI2012.pdf", "http://cs.stanford.edu/groups/vision/pdf/yaopami12.pdf", "http://vision.stanford.edu/pdf/yaopami12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6165303", "http://doi.org/10.1109/TPAMI.2012.67", "https://www.ncbi.nlm.nih.gov/pubmed/22392710", "https://www.wikidata.org/entity/Q34185448"]}, {"id": "f0ee079a1f40736e5b7760b38781f090744f37fc", "title": "Contextualizing Object Detection and Classification", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26353205", "https://doi.org/10.1109/TPAMI.2014.2343217", "https://www.wikidata.org/entity/Q40558547"]}, {"id": "5b130e2a1fc3f71b7638cc5dde72481cf33264cc", "title": "Scene Recognition with CNNs: Objects, Scales and Dataset Bias", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780437"]}, {"id": "bfa6ad4d71008505729274d008a9b4a7d92b2985", "title": "Semantic Understanding of Scenes Through the ADE20K Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.05442.pdf"], "doi": []}, {"id": "1883116d33a3e0321d2fe96e0a8a62546aca4ee9", "title": "Visual Question Answering: Datasets, Algorithms, and Future Challenges", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.01465.pdf"], "doi": []}, {"id": "88c307c51594c6d802080a0780d0d654e2e2891f", "title": "Visual Question Answering: A Survey of Methods and Datasets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.05910.pdf"], "doi": []}, {"id": "3cfbb77e5a0e24772cfdb2eb3d4f35dead54b118", "title": "Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2353/17b7ce64b4b3aefe57c1304e8157a4832d2c.pdf"], "doi": []}, {"id": "18e39b6f8f5c538d639bc0b46136ed93b5e3ef35", "title": "A Large Dataset of Object Scans", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.02481.pdf"], "doi": []}, {"id": "b31d6f201340ecec35bbe0f477710436f860605e", "title": "Learning Video Object Segmentation with Visual Memory", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237742"]}, {"id": "4a19f6545473363b16d4a10ed13fef29b38856d3", "title": "What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.5027.pdf"], "doi": []}, {"id": "0558c94a094158ecd64f0d5014d3d9668054fb97", "title": "Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/528d/141aba97074977a332bb2d96364b716f246c.pdf"], "doi": []}, {"id": "09a503095db2d68b439e48d67481399198ed0e5b", "title": "Recurrent Models of Visual Attention", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6247.pdf"], "doi": []}, {"id": "350d507f5d899e4d7293b1aa951aa0f81b9fd30a", "title": "The Visual Object Tracking VOT2017 Challenge Results", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Kristan_The_Visual_Object_ICCV_2017_paper.pdf", "https://hal.archives-ouvertes.fr/hal-01336773/file/Kristan2015The.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265440", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.230", "http://doi.org/10.1109/ICCVW.2017.230"]}, {"id": "7e232313a59d735ef7c8a9f4cc7bc980a29deb5e", "title": "Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1116-0"]}, {"id": "b4ee2a6b5fdf66f57e94a998cff2acef4af7d256", "title": "Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes", "year": "2013", "pdf": ["https://www.d2.mpi-inf.mpg.de/sites/default/files/wojek2013pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6265058", "http://doi.org/10.1109/TPAMI.2012.174", "https://www.ncbi.nlm.nih.gov/pubmed/22889818", "https://www.wikidata.org/entity/Q45823527"]}, {"id": "2ce63d77eecc35faef85a3b752a314c93a077ac9", "title": "Learning Multi-domain Convolutional Neural Networks for Visual Tracking", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780834"]}, {"id": "1c66fa1f3f189ca25bd657f53d77fde64c75f3da", "title": "Adaptive Color Attributes for Real-Time Visual Tracking", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909539"]}, {"id": "eb66303192a89c314ce4acae640ba700fa3293a3", "title": "Unsupervised Object Annotation through Context Analysis", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb66/303192a89c314ce4acae640ba700fa3293a3.pdf"], "doi": []}, {"id": "51a4d658c93c5169eef7568d3d1cf53e8e495087", "title": "Unsupervised Visual Domain Adaptation Using Subspace Alignment", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751479"]}, {"id": "079ed21601974d0604544a6d816c2f51b5c039b8", "title": "Enriching Visual Knowledge Bases via Object Discovery and Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909658"]}, {"id": "7574b7e5a75fdd338c27af5aeb77ab79460c4437", "title": "Learning Dynamic Siamese Network for Visual Object Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237458"]}, {"id": "38a169b6e67ef7768f91fa208c9b5544f6f57f16", "title": "Object Bank: An Object-Level Image Representation for High-Level Visual Recognition", "year": "2013", "pdf": ["http://cs.stanford.edu/groups/vision/pdf/li_ijcv2013.pdf", "http://vision.stanford.edu/pdf/li_ijcv2013.pdf", "http://www.tpbin.com/Uploads/Subjects/79181d36-c45c-4f6c-821f-b7f9fcac3881.pdf"], "doi": ["http://doi.org/10.1007/s11263-013-0660-x"]}, {"id": "5527dd901b836e2f164c9fa3e62f57cd70c21745", "title": "3D object retrieval via range image queries in a bag-of-visual-words context", "year": "2013", "pdf": ["http://graphics.di.uoa.gr/Downloads/papers/journals/p43.pdf", "http://www.idi.ntnu.no/grupper/vis/wp-content/uploads/2013/09/Range3DRetrievalTVCfinal.pdf"], "doi": ["https://doi.org/10.1007/s00371-013-0876-3"]}, {"id": "5ea8a9ae2bf40c4722e618b732f769744ab57dfe", "title": "Context Driven Scene Parsing with Attention to Rare Classes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909817"]}, {"id": "2d84f49572c2b29b6c9e1818eb57e7f12bc4236e", "title": "Query-Adaptive Asymmetrical Dissimilarities for Visual Object Retrieval", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751322"]}, {"id": "00319cd17cebae5e1095a248260bd7be15781362", "title": "A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01277.pdf"], "doi": []}, {"id": "0f060f011fe3093a24bf2cde96a4a833f58ec5a5", "title": "Object-based visual query suggestion", "year": "2012", "pdf": ["https://www.researchgate.net/profile/Pierre_Letessier/publication/257627352_Object-based_visual_query_suggestion/links/00b7d5260034959679000000.pdf"], "doi": ["https://doi.org/10.1007/s11042-012-1340-5"]}, {"id": "33baa52f583fb049f473a53d8e0ca5ac8e7abbf2", "title": "Reinforcement Learning for Visual Object Detection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780685"]}, {"id": "1631bc8b8fe853278b8e54bd3e9fff1445fa9f91", "title": "Visual Distance Measures for Object Retrieval", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6411668"]}, {"id": "4a8e9e179b58d3e10448f5e4680b66f34c8bc573", "title": "Learning to segment moving objects in videos", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7299035"]}, {"id": "0f6a8e9139cdd15fd0a8a292204aed21a8b51c5a", "title": "ReferItGame: Referring to Objects in Photographs of Natural Scenes", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0f6a/8e9139cdd15fd0a8a292204aed21a8b51c5a.pdf"], "doi": []}, {"id": "1ced31e02234bc3d1092ffb2c7442ffbd51cb309", "title": "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780807"]}, {"id": "5ac18d505ed6d10e8692cbb7d33f6852e6782692", "title": "The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00982.pdf"], "doi": []}, {"id": "efa08283656714911acff2d5022f26904e451113", "title": "Active Object Localization in Visual Situations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.00548.pdf"], "doi": []}, {"id": "1f7127b9ae86d7fac305c6b824801e455e82f511", "title": "Visual relationship detection with object spatial distribution", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019448", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019448", "http://doi.org/10.1109/ICME.2017.8019448"]}, {"id": "051830b0ea58d1568f19ec3297e301d9789c9a76", "title": "Bringing Semantics into Focus Using Visual Abstraction", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk5_abstract_scenes.pdf", "http://courses.cs.washington.edu/courses/cse590v/13au/cse590v_au13_wk5_abstract_scenes_rob.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d009.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zitnick_Bringing_Semantics_into_2013_CVPR_paper.pdf", "https://filebox.ece.vt.edu/~parikh/Publications/ZitnickParikh_CVPR_2013_clipart.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619231", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.387", "http://doi.org/10.1109/CVPR.2013.387"]}, {"id": "64c4019f1ea9b54b1848418ac53c4e2584dc62d4", "title": "ActionNet-VE Dataset: A Dataset for Describing Visual Events by Extending VIRAT Ground 2.0", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7433003"]}, {"id": "9a8e61cc9a95efe9e35df4d4230c7b8a655b7392", "title": "Unsupervised Joint Object Discovery and Segmentation in Internet Images", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619097"]}, {"id": "022027ce7475029f78fb3cdb758d947a8978ab5c", "title": "Invariant visual object recognition: biologically plausible approaches", "year": "2015", "pdf": ["http://wrap.warwick.ac.uk/77413/1/WRAP_422_2015_Article_658.pdf", "http://www.oxcns.org/papers/554%20Robinson%20Rolls%202015%20Invariant%20visual%20object%20recognition%20Biologically%20plausible%20models.pdf"], "doi": ["https://doi.org/10.1007/s00422-015-0658-2", "https://www.ncbi.nlm.nih.gov/pubmed/26335743", "https://www.wikidata.org/entity/Q43248757"]}, {"id": "e8e662e45e39249756d2b0090782434a5cf1f4aa", "title": "VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hou_VegFru_A_Domain-Specific_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Hou_VegFru_A_Domain-Specific_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237328", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.66", "http://doi.org/10.1109/ICCV.2017.66"]}, {"id": "54c7c3909c7e1e827befdbe8d2595a3b196ba1b8", "title": "AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578731"]}, {"id": "ac6c28cd866bccbbca54da8b7bd5b2e0d5e9d0b4", "title": "Cross-Dataset Learning of Visual Concepts", "year": "2012", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/Semantic-Technologies/paper/amr2012.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-12093-5_4"]}, {"id": "bbe7f4217a9bd9c6d3826b5b62d59d183e729383", "title": "Discriminative Hough context model for object detection", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-013-0780-x"]}, {"id": "55ca9fe4ae98904bfe026d22dcf1420ff9c0dd86", "title": "Dataset for Visual Reasoning", "year": "2017", "pdf": [], "doi": []}, {"id": "20f9a09defe5b02b98c464ca6df36b3b6358f60b", "title": "The State-of-the-Art in Visual Object Tracking", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cd46/4a309fa1736e1373f0bb06baf75e3d0abcac.pdf"], "doi": []}, {"id": "d86fabd4498c8feaed80ec342d254fb877fb92f5", "title": "Region-Object Relevance-Guided Visual Relationship Detection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d86f/abd4498c8feaed80ec342d254fb877fb92f5.pdf"], "doi": []}, {"id": "4405b44b5597787c42abeca6d0b3172175557b7b", "title": "Object discovery in 3D scenes via shape analysis", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6630857"]}, {"id": "8da0771e47c32405c4877cedce3ff84ac7390646", "title": "A survey of datasets for visual tracking", "year": "2015", "pdf": ["http://www.isir.upmc.fr/files/2015ACLI3545.pdf"], "doi": ["https://doi.org/10.1007/s00138-015-0713-y", "http://hal.upmc.fr/hal-01217152/document"]}, {"id": "4a75c3441cef2069458fe61a01196c2c8b32ee92", "title": "Single-trial classification of EEG in a visual object task using ICA and machine learning", "year": "2014", "pdf": ["https://www.research.ed.ac.uk/portal/files/14632594/Stewart.JNeurosciMeth.228.2014.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027014000752", "https://doi.org/10.1016/j.jneumeth.2014.02.014", "https://www.ncbi.nlm.nih.gov/pubmed/24613798"]}, {"id": "1456f147381bf7c385225d854c2fb48c19eca285", "title": "LCAV-31: a dataset for light field object recognition", "year": "2014", "pdf": ["http://infoscience.epfl.ch/record/197737/files/902014.pdf"], "doi": ["http://doi.org/10.1117/12.2041097"]}, {"id": "d7ed761cfe1b71aa7e4d08c355fcab131558f8c8", "title": "Learning Object Models on a Robot using Visual Context and Appearance Cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d7ed/761cfe1b71aa7e4d08c355fcab131558f8c8.pdf"], "doi": []}, {"id": "d53c79cce46820642f2d4e0f0dac9b31d1201f24", "title": "Visual object trapping", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.cviu.2016.07.007"]}, {"id": "5ffd74d2873b7cba2cbc5fd295cc7fbdedca22a2", "title": "The Cityscapes Dataset", "year": "2015", "pdf": [], "doi": []}, {"id": "14ca963b4e0b87fc7213b8e3a3e2371cee7ffad6", "title": "Exploring Causal Relationships in Visual Object Tracking", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410708"]}, {"id": "f9c602cc436a9ea2f9e7db48c77d924e09ce3c32", "title": "Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07747.pdf"], "doi": []}, {"id": "3ecb007d46614d5e5566b0ad7c96c0c4c8ac0d14", "title": "Enhancing Object Recognition With Dynamic Cognitive Context", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3ecb/007d46614d5e5566b0ad7c96c0c4c8ac0d14.pdf"], "doi": []}, {"id": "c8018f3dc6121d92da37f1756e7bd11a128aa55c", "title": "Region Filling and Object Removal by Exemplar based Image Inpainting", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c801/8f3dc6121d92da37f1756e7bd11a128aa55c.pdf"], "doi": []}, {"id": "051d8bbf12877c46ae9a598a386c5b72d1b103ac", "title": "Object Detection using Geometrical Context Feedback", "year": "2012", "pdf": ["http://cvgl.stanford.edu/papers/Sun_IJCV_2012.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0547-2"]}, {"id": "b0cd469a06fb2eae3a5cc0c860aa592f71b13f6d", "title": "IQA: Visual Question Answering in Interactive Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578528"]}]}
\ No newline at end of file
diff --git a/site/datasets/verified/flickr_faces.json b/site/datasets/verified/flickr_faces.json
index fdb8aa3f..60be5602 100644
--- a/site/datasets/verified/flickr_faces.json
+++ b/site/datasets/verified/flickr_faces.json
@@ -1 +1 @@
-{"id": "ceb2ebef0b41e31c1a21b28c2734123900c005e2", "paper": {"key": "flickr_faces", "name": "FFHQ", "title": "A Style-Based Generator Architecture for Generative Adversarial Networks", "year": "2018", "addresses": [], "vetting": {"yes": 0, "no": 50, "total": 50}}, "citations": []}
\ No newline at end of file
+{"id": "ceb2ebef0b41e31c1a21b28c2734123900c005e2", "paper": {"key": "flickr_faces", "name": "FFHQ", "title": "A Style-Based Generator Architecture for Generative Adversarial Networks", "year": "2018", "addresses": [], "vetting": {"yes": 1, "no": 50, "total": 51}}, "citations": [{"id": "b9e5c79339f5be61d127b46c8e25cf4dd5d0c5b5", "title": "Multiple-Identity Image Attacks Against Face-based Identity Verification", "addresses": [{"name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "source_name": "Noah's Ark Laboratory, Huawei Technologies Co., Ltd", "street_adddress": "300 Hagey Blvd, Waterloo, ON N2L 0A4, Canada", "lat": "43.47789480", "lng": "-80.54776420", "type": "company", "country": "Canada"}, {"name": "University College London", "source_name": "University College London", "street_adddress": "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu", "country": "United Kingdom"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1906.08507.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/verified/megaface.json b/site/datasets/verified/megaface.json
index 5dc9d577..242e9600 100644
--- a/site/datasets/verified/megaface.json
+++ b/site/datasets/verified/megaface.json
@@ -1 +1 @@
-{"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "paper": {"key": "megaface", "name": "MegaFace", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "addresses": [], "vetting": {"yes": 53, "no": 124, "total": 177}}, "citations": [{"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "title": "Fast Face Image Synthesis with Minimal Training.", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "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": "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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 Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "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": "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": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "57246142814d7010d3592e3a39a1ed819dd01f3b", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5724/6142814d7010d3592e3a39a1ed819dd01f3b.pdf"], "doi": []}, {"id": "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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 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": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "6cacda04a541d251e8221d70ac61fda88fb61a70", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"], "doi": []}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}, {"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Deutsche Welle, Bonn, Germany", "source_name": "Deutsche Welle, Bonn, Germany", "street_adddress": "DW, Gronau, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.71714970", "lng": "7.12825184", "type": "edu", "country": "Germany"}, {"name": "Expert Systems, Modena, Italy", "source_name": "Expert Systems, Modena, Italy", "street_adddress": "Viale Virgilio, 56/Q, 41123 Modena MO, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company", "country": "Italy"}, {"name": "GSI Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "GSI Universidad Polit-\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}, {"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}, {"name": "Paradigma Digital, Madrid, Spain", "source_name": "Paradigma Digital, Madrid, Spain", "street_adddress": "V\u00eda de las dos Castillas, 33, \u00c1tica 2, 28224 Pozuelo de Alarc\u00f3n, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company", "country": "Spain"}, {"name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "source_name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "street_adddress": "Chaloupkova 3002/1A, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "lat": "49.22383020", "lng": "16.59826020", "type": "edu", "country": "Czech Republic"}, {"name": "Siren Solutions, Dublin, Ireland", "source_name": "Siren Solutions, Dublin, Ireland", "street_adddress": "Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company", "country": "Ireland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269329", "http://doi.org/10.1109/TMM.2018.2798287", "https://www.wikidata.org/entity/Q57795813"]}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "addresses": [{"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "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": "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": "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": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"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": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"], "doi": []}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"], "doi": []}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "title": "Pose-Selective Max Pooling for Measuring Similarity", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07042.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "University of Nottingham Ningbo China", "source_name": "University of Nottingham Ningbo China", "street_adddress": "199 Taikang E Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.80344900", "lng": "121.56160900", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "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": "Robotics Institute at Carnegie Mellon University", "source_name": "Robotics Institute at Carnegie Mellon University, USA", "street_adddress": "Pittsburgh, PA 15213, USA", "lat": "40.44327410", "lng": "-79.94569950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "9fc17fa5708584fa848164461f82a69e97f6ed69", "title": "Additive Margin Softmax for Face Verification", "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 Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331118"]}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"name": "University of Pavia", "source_name": "Computer and Biomedical Engineering, University of Pavia, Pavia, Italy", "street_adddress": "Corso Str. Nuova, 65, 27100 Pavia PV, Italy", "lat": "45.18671560", "lng": "9.15610410", "type": "edu", "country": "Italy"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119", "http://doi.org/10.1109/TIP.2018.2861359", "https://doi.org/10.1109/TIP.2018.2861359", "https://www.ncbi.nlm.nih.gov/pubmed/30059306"]}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078973"]}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "7b0ed3d67375a4542133c992f4e55fd4ade0cd90", "title": "Knowledge Distillation via Route Constrained Optimization", "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"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "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": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.09149.pdf"], "doi": []}, {"id": "00ecf52b6c6c76c4c74d3c0dfe42ad6064ac79cb", "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", "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": "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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00292.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"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"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "8112ff3be88f31b100004b7ce19d68fc306f05e7", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "addresses": [{"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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "e9bf13544548a4073613967689b6b1b8f2d9f699", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}, {"id": "89c7a842499c9ab4362cfdba61fe4f2ae3706fcf", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "dbf1b8febb5047a04029139ee1a9e71cbd7e3cdd", "title": "Compressing Gradient Optimizers via Count-Sketches", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00179.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "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/1710.00870.pdf"], "doi": []}, {"id": "6a32c75f12f804bf0d6062240d472fa3dc998e1a", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "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": "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": "Singapore / National University of Singapore", "source_name": "A*STAR, Singapore / National University of Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "13b2bc8101a2a7a0c95412c48f40ef95e798e9fb", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Emory University", "source_name": "Emory University, Atlanta, USA", "street_adddress": "201 Dowman Dr, Atlanta, GA 30322, USA", "lat": "33.79251950", "lng": "-84.32399890", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "b61e8a314073c3550455e93a55c98e19afc30ee1", "title": "Loss Decomposition for Fast Learning in Large Output Spaces", "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", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b61e/8a314073c3550455e93a55c98e19afc30ee1.pdf"], "doi": []}, {"id": "16fc85bc7dd8c86fa87667f4de9b324b8584b3f4", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network", "addresses": [{"name": "Mitsubishi Electr. Res. Lab., Cambridge, MA, USA", "source_name": "Mitsubishi Electr. Res. Lab., Cambridge, MA, USA", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10974.pdf"], "doi": []}]}
\ No newline at end of file
+{"id": "15af83373274f4b4c5976c5f384ea0a5c124b287", "paper": {"key": "megaface", "name": "MegaFace", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "addresses": [], "vetting": {"yes": 65, "no": 142, "total": 207}}, "citations": [{"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "e64c166dc5bb33bc61462a8b5ac92edb24d905a1", "title": "Fast Face Image Synthesis with Minimal Training.", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"], "doi": []}, {"id": "2401cd5606c6bc5390acc352d00c1685f0c8af60", "title": "Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition", "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": "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": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01407.pdf"], "doi": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014985", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.251", "http://doi.org/10.1109/CVPRW.2017.251"]}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"name": "Beijing Jiaotong University", "source_name": "Beijing Jiaotong University", "street_adddress": "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "lat": "39.94976005", "lng": "116.33629046", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"], "doi": []}, {"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "db374308655256da1479c272582d7c7139c97173", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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 Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "51992fa881541ca3a4520c1ff9100b83e2f1ad87", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "53840c83f7b6ae78d4310c5b84ab3fde1a33bc4f", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "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": "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": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "addresses": [{"name": "University of Maryland College Park", "source_name": "University of Maryland College Park", "street_adddress": "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "addresses": [{"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "ddfde808af8dc8b737d115869d6cca780d050884", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"name": "Ulster University", "source_name": "Ulster University, Jordanstown BT37, Newtownabbey, Northern Ireland", "street_adddress": "Shore Rd, Newtownabbey BT37 0QB, UK", "lat": "54.68725400", "lng": "-5.88273600", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"], "doi": []}, {"id": "4f0b641860d90dfa4c185670bf636149a2b2b717", "title": "Improve Cross-Domain Face Recognition with IBN-block", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622251", "http://doi.org/10.1109/BigData.2018.8622251"]}, {"id": "67a9659de0bf671fafccd7f39b7587f85fb6dfbd", "title": "Ring Loss: Convex Feature Normalization for Face Recognition", "addresses": [{"name": "Carnegie Mellon University", "source_name": "Carnegie Mellon University Pittsburgh, PA - 15213, USA", "street_adddress": "Carnegie Mellon University, Forbes Avenue, Squirrel Hill North, PGH, Allegheny County, Pennsylvania, 15213, USA", "lat": "40.44416190", "lng": "-79.94272826", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578632"]}, {"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11529.pdf"], "doi": []}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "57246142814d7010d3592e3a39a1ed819dd01f3b", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-resolution Network", "addresses": [{"name": "Mitsubishi Electric Research Laboratories", "source_name": "Mitsubishi Electric Research Laboratories", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "company", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5724/6142814d7010d3592e3a39a1ed819dd01f3b.pdf"], "doi": []}, {"id": "f3a59d85b7458394e3c043d8277aa1ffe3cdac91", "title": "Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09900.pdf"], "doi": []}, {"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}, {"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 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": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"name": "Tencent", "source_name": "Tencent", "street_adddress": "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "lat": "22.54471540", "lng": "113.93571640", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"], "doi": []}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"name": "Brno University of Technology", "source_name": "Brno University of Technology", "street_adddress": "1 548 Anton\u00ednsk\u00e1 Brno-st\u0159ed Brno \u010cesk\u00e1 republika, 601 90, Czechia", "lat": "49.20172000", "lng": "16.60331680", "type": "edu", "country": "Czech Republic"}, {"name": "University of Passau", "source_name": "Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany", "street_adddress": "Innstra\u00dfe 41, 94032 Passau, Germany", "lat": "48.56704660", "lng": "13.45178350", "type": "edu", "country": "Germany"}, {"name": "Deutsche Welle, Bonn, Germany", "source_name": "Deutsche Welle, Bonn, Germany", "street_adddress": "DW, Gronau, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "lat": "50.71714970", "lng": "7.12825184", "type": "edu", "country": "Germany"}, {"name": "Expert Systems, Modena, Italy", "source_name": "Expert Systems, Modena, Italy", "street_adddress": "Viale Virgilio, 56/Q, 41123 Modena MO, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company", "country": "Italy"}, {"name": "GSI Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "source_name": "GSI Universidad Polit-\u00e9cnica de Madrid, Madrid, Spain", "street_adddress": "Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu", "country": "Spain"}, {"name": "National University of Ireland Galway", "source_name": "National University of Ireland Galway", "street_adddress": "National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu", "country": "Ireland"}, {"name": "Paradigma Digital, Madrid, Spain", "source_name": "Paradigma Digital, Madrid, Spain", "street_adddress": "V\u00eda de las dos Castillas, 33, \u00c1tica 2, 28224 Pozuelo de Alarc\u00f3n, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company", "country": "Spain"}, {"name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "source_name": "Phonexia, Brno-Krlovo Pole, Czech Republic", "street_adddress": "Chaloupkova 3002/1A, 612 00 Brno-Kr\u00e1lovo Pole, Czechia", "lat": "49.22383020", "lng": "16.59826020", "type": "edu", "country": "Czech Republic"}, {"name": "Siren Solutions, Dublin, Ireland", "source_name": "Siren Solutions, Dublin, Ireland", "street_adddress": "Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company", "country": "Ireland"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269329", "http://doi.org/10.1109/TMM.2018.2798287", "https://www.wikidata.org/entity/Q57795813"]}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "addresses": [{"name": "Tencent AI Lab, Shenzhen, China", "source_name": "Tencent AI Lab, Shenzhen, 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": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "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": "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": "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": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"], "doi": []}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}, {"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": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"], "doi": []}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"], "doi": []}, {"id": "e11bc0f7c73c04d38b7fb80bd1ca886495a4d43c", "title": "\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "addresses": [{"name": "University of Beira Interior", "source_name": "University of Beira Interior", "street_adddress": "Universidade da Beira Interior, R. Marqu\u00eas de \u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal", "lat": "40.27785900", "lng": "-7.50898300", "type": "edu", "country": "Portugal"}], "year": "2019", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/Leopard_TIFS.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8382306"]}, {"id": "672fae3da801b2a0d2bad65afdbbbf1b2320623e", "title": "Pose-Selective Max Pooling for Measuring Similarity", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.07042.pdf"], "doi": []}, {"id": "a32878e85941b5392d58d28e5248f94e16e25d78", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"name": "University of Nottingham Ningbo China", "source_name": "University of Nottingham Ningbo China", "street_adddress": "199 Taikang E Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000", "lat": "29.80344900", "lng": "121.56160900", "type": "edu", "country": "China"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"], "doi": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "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": "Robotics Institute at Carnegie Mellon University", "source_name": "Robotics Institute at Carnegie Mellon University, USA", "street_adddress": "Pittsburgh, PA 15213, USA", "lat": "40.44327410", "lng": "-79.94569950", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "addresses": [{"name": "Technion-Israel Institute of Technology", "source_name": "Technion-Israel Institute of Technology, Haifa 32000, Israel", "street_adddress": "Haifa, 3200003, Israel", "lat": "32.77677830", "lng": "35.02312710", "type": "edu", "country": "Israel"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "0a23bdc55fb0d04acdac4d3ea0a9994623133562", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"], "doi": []}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "9fc17fa5708584fa848164461f82a69e97f6ed69", "title": "Additive Margin Softmax for Face Verification", "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 Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331118"]}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"name": "University of Pavia", "source_name": "Computer and Biomedical Engineering, University of Pavia, Pavia, Italy", "street_adddress": "Corso Str. Nuova, 65, 27100 Pavia PV, Italy", "lat": "45.18671560", "lng": "9.15610410", "type": "edu", "country": "Italy"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119", "http://doi.org/10.1109/TIP.2018.2861359", "https://doi.org/10.1109/TIP.2018.2861359", "https://www.ncbi.nlm.nih.gov/pubmed/30059306"]}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "addresses": [{"name": "University of Washington", "source_name": "University of Washington", "street_adddress": "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099846"]}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3078973"]}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "addresses": [{"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575246"]}, {"id": "7b0ed3d67375a4542133c992f4e55fd4ade0cd90", "title": "Knowledge Distillation via Route Constrained Optimization", "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"}, {"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "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": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.09149.pdf"], "doi": []}, {"id": "00ecf52b6c6c76c4c74d3c0dfe42ad6064ac79cb", "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", "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": "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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.00292.pdf"], "doi": []}, {"id": "c76251049b370f8258d6bbb944c696c30b8bbb85", "title": "Clothing Change Aware Person Identification", "addresses": [{"name": "Philips Research, Bethesda, MD, USA", "source_name": "Philips Research, Bethesda, MD, USA", "street_adddress": "2 Canal Park, Cambridge, MA 02141, USA", "lat": "42.37022650", "lng": "-71.07689290", "type": "company", "country": "United States"}, {"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"}, {"name": "University of South Carolina", "source_name": "University of South Carolina", "street_adddress": "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "lat": "33.99282980", "lng": "-81.02685168", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Xue_Clothing_Change_Aware_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575455", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00285", "http://doi.org/10.1109/CVPRW.2018.00285"]}, {"id": "8112ff3be88f31b100004b7ce19d68fc306f05e7", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "addresses": [{"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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "e9bf13544548a4073613967689b6b1b8f2d9f699", "title": "Low-Resolution Face Recognition", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08965.pdf"], "doi": []}, {"id": "89c7a842499c9ab4362cfdba61fe4f2ae3706fcf", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "dbf1b8febb5047a04029139ee1a9e71cbd7e3cdd", "title": "Compressing Gradient Optimizers via Count-Sketches", "addresses": [{"name": "Rice University", "source_name": "Rice University", "street_adddress": "Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA", "lat": "29.71679145", "lng": "-95.40478113", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00179.pdf"], "doi": []}, {"id": "d949fadc9b6c5c8b067fa42265ad30945f9caa99", "title": "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "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/1710.00870.pdf"], "doi": []}, {"id": "6a32c75f12f804bf0d6062240d472fa3dc998e1a", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "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": "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": "Singapore / National University of Singapore", "source_name": "A*STAR, Singapore / National University of Singapore, Singapore", "street_adddress": "21 Lower Kent Ridge Rd, Singapore 119077", "lat": "1.29664260", "lng": "103.77639390", "type": "edu", "country": "Singapore"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"], "doi": []}, {"id": "13b2bc8101a2a7a0c95412c48f40ef95e798e9fb", "title": "Learning towards Minimum Hyperspherical Energy", "addresses": [{"name": "Emory University", "source_name": "Emory University, Atlanta, USA", "street_adddress": "201 Dowman Dr, Atlanta, GA 30322, USA", "lat": "33.79251950", "lng": "-84.32399890", "type": "edu", "country": "United States"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09298.pdf"], "doi": []}, {"id": "b61e8a314073c3550455e93a55c98e19afc30ee1", "title": "Loss Decomposition for Fast Learning in Large Output Spaces", "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", "source_name": "Google, Inc.", "street_adddress": "1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA", "lat": "37.42199990", "lng": "-122.08405750", "type": "company", "country": "United States"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b61e/8a314073c3550455e93a55c98e19afc30ee1.pdf"], "doi": []}, {"id": "16fc85bc7dd8c86fa87667f4de9b324b8584b3f4", "title": "Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network", "addresses": [{"name": "Mitsubishi Electr. Res. Lab., Cambridge, MA, USA", "source_name": "Mitsubishi Electr. Res. Lab., Cambridge, MA, USA", "street_adddress": "201 Broadway, Cambridge, MA 02139, USA", "lat": "42.36618300", "lng": "-71.09245500", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.10974.pdf"], "doi": []}, {"id": "730e906ff2f3ce3da874435298b844f9a763cfe0", "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", "addresses": [{"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": "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"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.02479.pdf"], "doi": []}, {"id": "4f686309f5a34d5a5c687539b71bac0bafd8476f", "title": "The Devil of Face Recognition is in the Noise", "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"}, {"name": "University of California San Diego", "source_name": "Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA", "street_adddress": "9500 Gilman Dr, La Jolla, CA 92093, USA", "lat": "32.88006040", "lng": "-117.23401350", "type": "edu", "country": "United States"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"], "doi": []}, {"id": "aaa2b45153051e23d5a35ccf9af8ecabc0fe24cd", "title": "1 How Good can Human Predict Facial Age ?", "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": "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://pdfs.semanticscholar.org/aaa2/b45153051e23d5a35ccf9af8ecabc0fe24cd.pdf"], "doi": []}, {"id": "07c341ec8b82a3c4df9e0aeff53ef43a73f59829", "title": "AdaptiveFace: Adaptive Margin and Sampling for Face Recognition", "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"}, {"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": "2019", "pdf": ["https://pdfs.semanticscholar.org/cb76/e5fa6ef74de97a921d459654b8c3af1e71ba.pdf"], "doi": []}, {"id": "0782024d8aee50980cf16257e5940ff2645b977b", "title": "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"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 Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11080.pdf"], "doi": []}, {"id": "fde9b77b36f678f4455e13a63d1f8d8148187f2a", "title": "Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection", "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": "Indiana University", "source_name": "Indiana University", "street_adddress": "Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA", "lat": "39.86948105", "lng": "-84.87956905", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1908.00686.pdf"], "doi": []}, {"id": "4a75cda9341bbdcb9f370181e664508c66aee5d4", "title": "Efficient Decision-based Black-box Adversarial Attacks on Face Recognition", "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": "Hong Kong University of Science and Technology", "source_name": "Hong Kong University of Science and Technology", "street_adddress": "\u9999\u6e2f\u79d1\u6280\u5927\u5b78 Hong Kong University of Science and Technology, \u5927\u5b78\u9053 University Road, \u5927\u57d4\u4ed4 Tai Po Tsai, \u5927\u57d4\u4ed4\u6751 Tai Po Tsai Village, \u65b0\u754c New Territories, HK, DD253 1209, \u4e2d\u56fd", "lat": "22.33863040", "lng": "114.26203370", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.04433.pdf"], "doi": []}, {"id": "6834b6a529c969e5feb1fb77713eff8f19704b31", "title": "Linkage Based Face Clustering via Graph Convolution Network", "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": "Australian National University", "source_name": "Australian National University", "street_adddress": "Canberra ACT 0200, Australia", "lat": "-35.27769990", "lng": "149.11852700", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1903.11306.pdf"], "doi": []}, {"id": "a7864df5b72e1b28c32dd793d86d57ebf44b3d34", "title": "A High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1905.04830.pdf"], "doi": []}, {"id": "d4f100ca5edfe53b562f1d170b2c48939bab0e27", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"], "doi": []}, {"id": "73c07e0a998576bb9d9409e5eed713788c0be037", "title": "Large-Scale Long-Tailed Recognition in an Open World", "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": "2019", "pdf": ["https://arxiv.org/pdf/1904.05160.pdf"], "doi": []}, {"id": "db0880947452943a038e8d4c348107ef631d26a9", "title": "Learning from Longitudinal Face Demonstration\u2014Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "addresses": [{"name": "Concordia University", "source_name": "Concordia University", "street_adddress": "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu", "country": "United States"}, {"name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "source_name": "CyLab, Carnegie Mellon, Pittsburgh, USA", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "lat": "40.44379540", "lng": "-79.94655220", "type": "edu", "country": "United States"}, {"name": "University of Arkansas", "source_name": "University of Arkansas", "street_adddress": "Fayetteville, AR 72701, USA", "lat": "36.06783240", "lng": "-94.17365510", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["http://arxiv.org/pdf/1711.10520", "https://arxiv.org/pdf/1711.10520.pdf", "https://export.arxiv.org/pdf/1711.10520"], "doi": ["https://doi.org/10.1007/s11263-019-01165-5"]}, {"id": "3e4a49b86c9c34e27e00a0f250b3d82f269cf153", "title": "UniformFace: Learning Deep Equidistributed Representation for Face Recognition", "addresses": [{"name": "State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology", "source_name": "State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, UK", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "Tsinghua University & Beijing National Research Center for Information Science and Technology", "source_name": "Tsinghua University & Beijing National Research Center for Information Science and Technology, Beijing, China", "street_adddress": "30 Shuangqing Rd, Haidian Qu, Beijing Shi, China", "lat": "39.99966740", "lng": "116.32644390", "type": "edu", "country": "China"}], "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/3e4a/49b86c9c34e27e00a0f250b3d82f269cf153.pdf"], "doi": []}]}
\ No newline at end of file