diff options
Diffstat (limited to 'site/datasets/final/casia_webface.json')
| -rw-r--r-- | site/datasets/final/casia_webface.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/final/casia_webface.json b/site/datasets/final/casia_webface.json index 0371b45a..8dfaf03f 100644 --- a/site/datasets/final/casia_webface.json +++ b/site/datasets/final/casia_webface.json @@ -1 +1 @@ -{"id": "853bd61bc48a431b9b1c7cab10c603830c488e39", "dataset": {"key": "casia_webface", "name_short": "CASIA Webface", "using": "Y", "ft_share": "1", "subset_of": "", "superset_of": "", "name_full": "CAISA Webface Dataset", "url": "http://www.cbsr.ia.ac.cn/english/CASIA-WebFace-Database.html", "added_on": "", "faces": "", "pdf_paper": "Y", "comments": "names are derived from celebrities on IMDB. webfaces site removed (in August 2018), webisite for center is here: http://www.cbsr.ia.ac.cn/english/Databases.asp", "": "", "relevance": ""}, "statistics": {"key": "casia_webface", "name": "CASIA Webface", "berit": "Y", "charlie": "", "adam": "", "priority": "N", "wild": "Y", "indoor": "", "outdoor": "", "cyberspace": "Y", "names": "", "downloaded": "N", "year_start": "", "year_end": "", "year_published": "2014", "ongoing": "", "images": "494,414 ", "videos": "", "faces_unique": "10,575 ", "total_faces": "", "img_per_person": "", "num_cameras": "", "faces_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "derivative_of": "Y", "tags": "fr, gender", "source": "imdb", "purpose_short": "identification, gender", "size_gb": "", "agreement": "N", "agree_requied": "", "agreement_signed": "", "comment": "discrepancy on date, using date cited in VGGFaces2 paper", "comment 2": "", "comment 3": "", "": ""}, "paper": {"paper_id": "853bd61bc48a431b9b1c7cab10c603830c488e39", "key": "casia_webface", "title": "Learning Face Representation from Scratch", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.7923.pdf"], "address": "", "name": "CASIA Webface", "doi": []}, "address": null, "additional_papers": [], "citations": [{"id": "def2983576001bac7d6461d78451159800938112", "title": "The Do\u2019s and Don\u2019ts for CNN-Based Face Verification", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07426.pdf"]}, {"id": "e94dfdc5581f6bc0338e21ad555b5f1734f8697e", "title": "Learning to Anonymize Faces for Privacy Preserving Action Detection", "addresses": [{"address": "University of California, Davis", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11556.pdf"]}, {"id": "68c3e61cefcfe4812df54be12625dabe66fb06a4", "title": "A Compact Deep Learning Model for Robust Facial Expression Recognition", "addresses": [{"address": "National Tsing Hua University", "lat": "24.79254840", "lng": "120.99511830", "type": "edu"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/68c3/e61cefcfe4812df54be12625dabe66fb06a4.pdf"]}, {"id": "4bd3de97b256b96556d19a5db71dda519934fd53", "title": "Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition", "addresses": [{"address": "South China University of Technology", "lat": "23.05020420", "lng": "113.39880323", "type": "edu"}, {"address": "Shenzhen Institutes of Advanced Technology", "lat": "22.59805605", "lng": "113.98533784", "type": "edu"}], "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"]}, {"id": "cd6aaa37fffd0b5c2320f386be322b8adaa1cc68", "title": "Deep Face Recognition: A Survey", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06655.pdf"]}, {"id": "2744e6d526b8f2c1b297ac2d2458aaa08b0cda11", "title": "Example image-based feature extraction for face recognition", "addresses": [{"address": "Korea Advanced Institute of Science and Technology", "lat": "36.36971910", "lng": "127.36253700", "type": "edu"}, {"address": "Ajou University", "lat": "37.28300030", "lng": "127.04548469", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "title": "To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}, {"address": "University of Ljubljana", "lat": "46.05015580", "lng": "14.46907327", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04823.pdf"]}, {"id": "63a6c256ec2cf2e0e0c9a43a085f5bc94af84265", "title": "Complexity of multiverse networks and their multilayer generalization", "addresses": [{"address": "Tel Aviv University", "lat": "32.11198890", "lng": "34.80459702", "type": "edu"}], "year": "2016", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/complexity-multiverse-networks.pdf"]}, {"id": "c9efcd8e32dced6efa2bba64789df8d0a8e4996a", "title": "Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition", "addresses": [{"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "f6e6b4d0b7c16112dcb71ff502033a2187b1ec9b", "title": "Understanding Blooming Human Groups in Social Networks", "addresses": [{"address": "Hefei University of Technology", "lat": "31.84691800", "lng": "117.29053367", "type": "edu"}, {"address": "University of Texas at San Antonio", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu"}, {"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}], "year": "2015", "pdf": []}, {"id": "96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9", "title": "State-of-the-art face recognition performance using publicly available software and datasets", "addresses": [{"address": "Universit\u00e9 Paris-Saclay, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "870433ba89d8cab1656e57ac78f1c26f4998edfb", "title": "Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network", "addresses": [{"address": "Open University of Israel", "lat": "32.77824165", "lng": "34.99565673", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.04904.pdf"]}, {"id": "c53352a4239568cc915ad968aff51c49924a3072", "title": "Transfer Representation-Learning for Anomaly Detection", "addresses": [{"address": "University College London", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c533/52a4239568cc915ad968aff51c49924a3072.pdf"]}, {"id": "17423fe480b109e1d924314c1dddb11b084e8a42", "title": "Deep Disguised Faces Recognition", "addresses": [{"address": "National Taiwan University", "lat": "25.01682835", "lng": "121.53846924", "type": "edu"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1742/3fe480b109e1d924314c1dddb11b084e8a42.pdf"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"address": "Electrical and Computer Engineering", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu"}, {"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "1ba9d12f24ac04f0309e8ff9b0162c6e18d97dc3", "title": "Robust Face Recognition with Deep Multi-View Representation Learning", "addresses": [{"address": "Hefei University of Technology", "lat": "31.84691800", "lng": "117.29053367", "type": "edu"}, {"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "73ea06787925157df519a15ee01cc3dc1982a7e0", "title": "Fast Face Image Synthesis with Minimal Training", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"]}, {"id": "1d7df3df839a6aa8f5392310d46b2a89080a3c25", "title": "Large-Margin Softmax Loss for Convolutional Neural Networks", "addresses": [{"address": "South China University of Technology", "lat": "23.05020420", "lng": "113.39880323", "type": "edu"}, {"address": "Shenzhen University", "lat": "22.53521465", "lng": "113.93159110", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02295.pdf"]}, {"id": "8ea8cdee6f62751d87339f821d2b2a094ab4b260", "title": "Enabling Live Video Analytics with a Scalable and Privacy-Aware Framework", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "edff76149ec44f6849d73f019ef9bded534a38c2", "title": "Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption", "addresses": [{"address": "University of Tokyo", "lat": "35.90204480", "lng": "139.93622009", "type": "edu"}, {"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02203.pdf"]}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "addresses": [{"address": "Georgia Institute of Technology", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}, {"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"]}, {"id": "9b2a272d4526b3eeeda0beb0d399074d5380a2b3", "title": "Learning to Align Images Using Weak Geometric Supervision", "addresses": [{"address": "Georgia Institute of Technology", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu"}, {"address": "Microsoft", "lat": "47.64233180", "lng": "-122.13693020", "type": "company"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01424.pdf"]}, {"id": "96e731e82b817c95d4ce48b9e6b08d2394937cf8", "title": "Unconstrained face verification using deep CNN features", "addresses": [{"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1508.01722.pdf"]}, {"id": "75858dbee2c248a60741fbc64dcad4f8b63d51cb", "title": "Markov Network-Based Unified Classifier for Face Recognition", "addresses": [{"address": "Korea Advanced Institute of Science and Technology", "lat": "36.36971910", "lng": "127.36253700", "type": "edu"}], "year": "2015", "pdf": []}, {"id": "1b3e7caf4b456e3762a827aa623c3fb88ca0b1a0", "title": "Contrapositive Margin Softmax Loss for Face Verification", "addresses": [{"address": "Sichuan University, Chengdu", "lat": "30.64276900", "lng": "104.06751175", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "a2b4a6c6b32900a066d0257ae6d4526db872afe2", "title": "Learning Face Image Quality From Human Assessments", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "7859667ed6c05a467dfc8a322ecd0f5e2337db56", "title": "Web-Scale Transfer Learning for Unconstrained 1 : N Face Identification", "addresses": [{"address": "Tel Aviv University", "lat": "32.11198890", "lng": "34.80459702", "type": "edu"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7859/667ed6c05a467dfc8a322ecd0f5e2337db56.pdf"]}, {"id": "b8084d5e193633462e56f897f3d81b2832b72dff", "title": "DeepID3: Face Recognition with Very Deep Neural Networks", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}, {"address": "Shenzhen Institutes of Advanced Technology", "lat": "22.59805605", "lng": "113.98533784", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00873.pdf"]}, {"id": "969fd48e1a668ab5d3c6a80a3d2aeab77067c6ce", "title": "End-To-End Face Detection and Recognition", "addresses": [{"address": "Zhejiang University", "lat": "30.19331415", "lng": "120.11930822", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10818.pdf"]}, {"id": "368e99f669ea5fd395b3193cd75b301a76150f9d", "title": "One-to-many face recognition with bilinear CNNs", "addresses": [{"address": "University of Massachusetts", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.01342.pdf"]}, {"id": "b2470969e4fba92f7909eac26b77d08cc5575533", "title": "Profit Maximization Mechanism and Data Management for Data Analytics Services", "addresses": [{"address": "Nanyang Technological University", "lat": "1.34841040", "lng": "103.68297965", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "0c59071ddd33849bd431165bc2d21bbe165a81e0", "title": "Person Recognition in Personal Photo Collections", "addresses": [{"address": "Max Planck Institute for Informatics", "lat": "49.25795660", "lng": "7.04577417", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03502.pdf"]}, {"id": "eb027969f9310e0ae941e2adee2d42cdf07d938c", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"]}, {"id": "9989ad33b64accea8042e386ff3f1216386ba7f1", "title": "Facial feature extraction method based on shallow and deep fusion CNN", "addresses": [{"address": "Guilin University of Electronic Technology Guangxi Guilin", "lat": "25.28739920", "lng": "110.33242770", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "809ea255d144cff780300440d0f22c96e98abd53", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"]}, {"id": "38d8ff137ff753f04689e6b76119a44588e143f3", "title": "When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition", "addresses": [{"address": "University of Houston", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06532.pdf"]}, {"id": "fb1627ed224bf7b1e3d80c097316ed7703951df2", "title": "Deep transfer network for face recognition using 3D synthesized face", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "85860d38c66a5cf2e6ffd6475a3a2ba096ea2920", "title": "Celeb-500K: A Large Training Dataset for Face Recognition", "addresses": [{"address": "Zhejiang University", "lat": "30.19331415", "lng": "120.11930822", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "7a65fc9e78eff3ab6062707deaadde024d2fad40", "title": "A Study on Apparent Age Estimation", "addresses": [{"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf"]}, {"id": "dc1105c7171a0922bfde7612aa069231720ee694", "title": "Face image retrieval based on shape and texture feature fusion", "addresses": [{"address": "Nanjing University", "lat": "32.05659570", "lng": "118.77408833", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "633101e794d7b80f55f466fd2941ea24595e10e6", "title": "Face Attribute Prediction with classification CNN", "addresses": [{"address": "KTH Royal Institute of Technology, Stockholm", "lat": "59.34986645", "lng": "18.07063213", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6331/01e794d7b80f55f466fd2941ea24595e10e6.pdf"]}, {"id": "80d42f74ee9bf03f3790c8d0f5a307deffe0b3b7", "title": "Learning Kernel Extended Dictionary for Face Recognition", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "4317856a1458baa427dc00e8ea505d2fc5f118ab", "title": "Regularizing face verification nets for pain intensity regression", "addresses": [{"address": "Johns Hopkins University", "lat": "39.32905300", "lng": "-76.61942500", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "7fcd03407c084023606c901e8933746b80d2ad57", "title": "Local classifier chains for deep face recognition", "addresses": [{"address": "University of Houston", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "92be73dffd3320fe7734258961fe5a5f2a43390e", "title": "Transferring Face Verification Nets To Pain and Expression Regression", "addresses": [{"address": "Johns Hopkins University", "lat": "39.32905300", "lng": "-76.61942500", "type": "edu"}, {"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92be/73dffd3320fe7734258961fe5a5f2a43390e.pdf"]}, {"id": "561ae67de137e75e9642ab3512d3749b34484310", "title": "DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning.", "addresses": [{"address": "Tel Aviv University", "lat": "32.11198890", "lng": "34.80459702", "type": "edu"}, {"address": "Rheinische-Friedrich-Wilhelms University", "lat": "50.73381240", "lng": "7.10224650", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07637.pdf"]}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"address": "University of Florence", "lat": "43.77764260", "lng": "11.25976500", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "c10b0a6ba98aa95d740a0d60e150ffd77c7895ad", "title": "Deep fisher faces", "addresses": [{"address": "RWTH Aachen University", "lat": "50.77917030", "lng": "6.06728733", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c10b/0a6ba98aa95d740a0d60e150ffd77c7895ad.pdf"]}, {"id": "cbb27980eb04f68d9f10067d3d3c114efa9d0054", "title": "An Attention Model for Group-Level Emotion Recognition", "addresses": [{"address": "Indian Institute of Technology Delhi", "lat": "28.54632595", "lng": "77.27325504", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03380.pdf"]}, {"id": "8bf243817112ac0aa1348b40a065bb0b735cdb9c", "title": "Learning a Repression Network for Precise Vehicle Search", "addresses": [{"address": "Peking University", "lat": "39.99223790", "lng": "116.30393816", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02386.pdf"]}, {"id": "30180f66d5b4b7c0367e4b43e2b55367b72d6d2a", "title": "Template Adaptation for Face Verification and Identification", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.03958.pdf"]}, {"id": "55fdff2881d43050a8c51c7fdc094dbfbbe6fa46", "title": "Transferring deep representation for NIR-VIS heterogeneous face recognition", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "6d07e176c754ac42773690d4b4919a39df85d7ec", "title": "Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks", "addresses": [{"address": "KTH Royal Institute of Technology, Stockholm", "lat": "59.34986645", "lng": "18.07063213", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d07/e176c754ac42773690d4b4919a39df85d7ec.pdf"]}, {"id": "fd9feb21b3d1fab470ff82e3f03efce6a0e67a1f", "title": "Deep Verification Learning", "addresses": [{"address": "University of Twente", "lat": "52.23801390", "lng": "6.85667610", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fd9f/eb21b3d1fab470ff82e3f03efce6a0e67a1f.pdf"]}, {"id": "1e6ed6ca8209340573a5e907a6e2e546a3bf2d28", "title": "Pooling Faces: Template Based Face Recognition with Pooled Face Images", "addresses": [{"address": "Open University of Israel", "lat": "32.77824165", "lng": "34.99565673", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.01450.pdf"]}, {"id": "8e0ab1b08964393e4f9f42ca037220fe98aad7ac", "title": "UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04695.pdf"]}, {"id": "68c4a1d438ea1c6dfba92e3aee08d48f8e7f7090", "title": "AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Liu_AgeNet_Deeply_Learned_ICCV_2015_paper.pdf"]}, {"id": "76669f166ddd3fb830dbaacb3daa875cfedc24d9", "title": "Learning face recognition from limited training data using deep neural networks", "addresses": [{"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}, {"address": "IBM Thomas J. Watson Research Center", "lat": "41.21002475", "lng": "-73.80407056", "type": "company"}], "year": "2016", "pdf": []}, {"id": "946017d5f11aa582854ac4c0e0f1b18b06127ef1", "title": "Tracking Persons-of-Interest via Adaptive Discriminative Features", "addresses": [{"address": "Hanyang University", "lat": "37.55572710", "lng": "127.04366420", "type": "edu"}, {"address": "University of Illinois, Urbana-Champaign", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu"}, {"address": "University of California, Merced", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9460/17d5f11aa582854ac4c0e0f1b18b06127ef1.pdf"]}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"address": "Microsoft", "lat": "47.64233180", "lng": "-122.13693020", "type": "company"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"]}, {"id": "24e82eaf3257e761d6ca0ffcc2cbca30dfca82e9", "title": "An analysis of the robustness of deep face recognition networks to noisy training labels", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "a961f1234e963a7945fed70197015678149b37d8", "title": "Facial Expression Synthesis by U-Net Conditional Generative Adversarial Networks", "addresses": [{"address": "Beihang University", "lat": "39.98083330", "lng": "116.34101249", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "11a47a91471f40af5cf00449954474fd6e9f7694", "title": "NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification", "addresses": [{"address": "Southwest University", "lat": "29.82366295", "lng": "106.42050016", "type": "edu"}], "year": "2016", "pdf": ["http://www.mdpi.com/2078-2489/7/4/61/pdf"]}, {"id": "ef2bb8bd93fa8b44414565b32735334fa6823b56", "title": "An accurate and efficient face recognition method based on hash coding", "addresses": [{"address": "Guilin University of Electronic Technology Guangxi Guilin", "lat": "25.28739920", "lng": "110.33242770", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "23dd8d17ce09c22d367e4d62c1ccf507bcbc64da", "title": "Deep Density Clustering of Unconstrained Faces ( Supplementary Material )", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/23dd/8d17ce09c22d367e4d62c1ccf507bcbc64da.pdf"]}, {"id": "3dfb822e16328e0f98a47209d7ecd242e4211f82", "title": "Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08197.pdf"]}, {"id": "64b9ad39d115f3e375bde4f70fb8fdef5d681df8", "title": "Bootstrapping Joint Bayesian model for robust face verification", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "c75e6ce54caf17b2780b4b53f8d29086b391e839", "title": "ExpNet: Landmark-Free, Deep, 3D Facial Expressions", "addresses": [{"address": "Open University of Israel", "lat": "32.77824165", "lng": "34.99565673", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00542.pdf"]}, {"id": "66dcd855a6772d2731b45cfdd75f084327b055c2", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"address": "Shenzhen University", "lat": "22.53521465", "lng": "113.93159110", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"]}, {"id": "e00d4e4ba25fff3583b180db078ef962bf7d6824", "title": "Face Verification with MultiTask and Multi-Scale Features Fusion", "addresses": [{"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e00d/4e4ba25fff3583b180db078ef962bf7d6824.pdf"]}, {"id": "831d661d657d97a07894da8639a048c430c5536d", "title": "Weakly Supervised Facial Analysis with Dense Hyper-Column Features", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Zhu_Weakly_Supervised_Facial_CVPR_2016_paper.pdf"]}, {"id": "5865b6d83ba6dbbf9167f1481e9339c2ef1d1f6b", "title": "Regularized metric adaptation for unconstrained face verification", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "e9c008d31da38d9eef67a28d2c77cb7daec941fb", "title": "Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03769.pdf"]}, {"id": "c675534be881e59a78a5986b8fb4e649ddd2abbe", "title": "Face recognition by landmark pooling-based CNN with concentrate loss", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "ea03a569272d329090fe60d6bff8d119e18057d7", "title": "Fisher vector encoded deep convolutional features for unconstrained face verification", "addresses": [{"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}, {"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/ICIP_FVDCNN_2016_camera_ready_final.pdf"]}, {"id": "a73405038fdc0d8bf986539ef755a80ebd341e97", "title": "Conditional High-Order Boltzmann Machines for Supervised Relation Learning", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "5180df9d5eb26283fb737f491623395304d57497", "title": "Scalable Angular Discriminative Deep Metric Learning for Face Recognition", "addresses": [{"address": "Tianjin University", "lat": "36.20304395", "lng": "117.05842113", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10899.pdf"]}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "282503fa0285240ef42b5b4c74ae0590fe169211", "title": "Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks", "addresses": [{"address": "Seoul National University", "lat": "37.26728000", "lng": "126.98411510", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07848.pdf"]}, {"id": "29db046dd1f8100b279c3f5f5c5ef19bdbf5af9a", "title": "Recent Progress of Face Image Synthesis", "addresses": [{"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04717.pdf"]}, {"id": "4f7b92bd678772552b3c3edfc9a7c5c4a8c60a8e", "title": "Deep Density Clustering of Unconstrained Faces", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/4f7b/92bd678772552b3c3edfc9a7c5c4a8c60a8e.pdf"]}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"address": "Louisiana State University", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"]}, {"id": "d3d5d86afec84c0713ec868cf5ed41661fc96edc", "title": "A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition", "addresses": [{"address": "Sabanci University", "lat": "40.89271590", "lng": "29.37863323", "type": "edu"}, {"address": "Istanbul Technical University", "lat": "41.10427915", "lng": "29.02231159", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02894.pdf"]}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}, {"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"]}, {"id": "b910590a0eb191d03e1aedb3d55c905129e92e6b", "title": "Robust gender classification on unconstrained face images", "addresses": [{"address": "Anhui University", "lat": "31.76909325", "lng": "117.17795091", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2015", "pdf": []}, {"id": "b8bcf9c773da1c5ee76db4bf750c9ff5d159f1a0", "title": "Homemade TS-Net for Automatic Face Recognition", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "9865fe20df8fe11717d92b5ea63469f59cf1635a", "title": "Wildest Faces: Face Detection and Recognition in Violent Settings", "addresses": [{"address": "Hacettepe University", "lat": "39.86742125", "lng": "32.73519072", "type": "edu"}, {"address": "Middle East Technical University", "lat": "39.87549675", "lng": "32.78553506", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07566.pdf"]}, {"id": "69adbfa7b0b886caac15ebe53b89adce390598a3", "title": "Face hallucination using cascaded super-resolution and identity priors", "addresses": [{"address": "University of Ljubljana", "lat": "46.05015580", "lng": "14.46907327", "type": "edu"}, {"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10938.pdf"]}, {"id": "feea73095b1be0cbae1ad7af8ba2c4fb6f316d35", "title": "Deep Face Recognition with Center Invariant Loss", "addresses": [{"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "3f0c51989c516a7c5dee7dec4d7fb474ae6c28d9", "title": "Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding", "addresses": [{"address": "Duke University", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06638.pdf"]}, {"id": "4801256b4ee39e71d5a9a1046c57e3ad4af6735a", "title": "Cascade Attention Networks For Group Emotion Recognition with Face, Body and Image Cues", "addresses": [{"address": "Nanyang Technological University", "lat": "1.34841040", "lng": "103.68297965", "type": "edu"}, {"address": "National Taiwan University", "lat": "25.01682835", "lng": "121.53846924", "type": "edu"}, {"address": "Shenzhen Institutes of Advanced Technology", "lat": "22.59805605", "lng": "113.98533784", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "91a4ebf1ca0314a74c436729700ef09bddaa6222", "title": "Detailed Human Avatars from Monocular Video", "addresses": [{"address": "Max Planck Institute for Informatics", "lat": "49.25795660", "lng": "7.04577417", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01338.pdf"]}, {"id": "0081e2188c8f34fcea3e23c49fb3e17883b33551", "title": "Training Deep Face Recognition Systems with Synthetic Data", "addresses": [{"address": "University of Basel", "lat": "47.56126510", "lng": "7.57529610", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05891.pdf"]}, {"id": "57ba4b6de23a6fc9d45ff052ed2563e5de00b968", "title": "An efficient deep neural networks training framework for robust face recognition", "addresses": [{"address": "Xiamen University", "lat": "24.43994190", "lng": "118.09301781", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "43fe03ec1acb6ea9d05d2b22eeddb2631bd30437", "title": "Weakly supervised multiscale-inception learning for web-scale face recognition", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "0be418e63d111e3b94813875f75909e4dc27d13a", "title": "Fine-grained LFW database", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}, {"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"]}, {"id": "450c6a57f19f5aa45626bb08d7d5d6acdb863b4b", "title": "Towards Interpretable Face Recognition", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00611.pdf"]}, {"id": "cb9921d5fc4ffa50be537332e111f03d74622442", "title": "Face Occlusion Detection Using Cascaded Convolutional Neural Network", "addresses": [{"address": "Zhejiang University of Technology", "lat": "30.29315340", "lng": "120.16204580", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "291de30ceecb5dcf0644c35e2b5935d341ea148b", "title": "Explainable Black-Box Attacks Against Model-based Authentication", "addresses": [{"address": "University of Florida", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.00024.pdf"]}, {"id": "3f540faf85e1f8de6ce04fb37e556700b67e4ad3", "title": "Face Verification with Multi-Task and Multi-Scale Feature Fusion", "addresses": [{"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f54/0faf85e1f8de6ce04fb37e556700b67e4ad3.pdf"]}, {"id": "8334da483f1986aea87b62028672836cb3dc6205", "title": "Fully Associative Patch-Based 1-to-N Matcher for Face Recognition", "addresses": [{"address": "University of Houston", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06306.pdf"]}, {"id": "0019925779bff96448f0c75492717e4473f88377", "title": "Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w3/papers/Reale_Deep_Heterogeneous_Face_CVPR_2017_paper.pdf"]}, {"id": "5905b4610389cd3b11a3a1ce06c05fee36a97f86", "title": "Unconstrained Face Recognition Using a Set-to-Set Distance Measure on Deep Learned Features", "addresses": [{"address": "Northumbria University", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu"}, {"address": "University of East Anglia", "lat": "52.62215710", "lng": "1.24091360", "type": "edu"}, {"address": "Lancaster University", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu"}], "year": "2018", "pdf": ["http://eprints.lancs.ac.uk/87886/4/07936556.pdf"]}, {"id": "05455f5e3c3989be4991cb74b73cdfd0d6522622", "title": "Learning Warped Guidance for Blind Face Restoration", "addresses": [{"address": "Harbin Institute of Technology", "lat": "45.74139210", "lng": "126.62552755", "type": "edu"}, {"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}, {"address": "University of Kentucky", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04829.pdf"]}, {"id": "54bb25a213944b08298e4e2de54f2ddea890954a", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "Middlesex University", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu"}], "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"]}, {"id": "81884e1de00e59f24bc20254584d73a1a1806933", "title": "Super-Identity Convolutional Neural Network for Face Hallucination", "addresses": [{"address": "National Taiwan University", "lat": "25.01682835", "lng": "121.53846924", "type": "edu"}, {"address": "SenseTime", "lat": "39.99300800", "lng": "116.32988200", "type": "company"}, {"address": "University of Texas at Austin", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02328.pdf"]}, {"id": "405526dfc79de98f5bf3c97bf4aa9a287700f15d", "title": "MegaFace: A Million Faces for Recognition at Scale", "addresses": [{"address": "University of Washington", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.02108.pdf"]}, {"id": "582edc19f2b1ab2ac6883426f147196c8306685a", "title": "Do We Really Need to Collect Millions of Faces for Effective Face Recognition?", "addresses": [{"address": "Open University of Israel", "lat": "32.77824165", "lng": "34.99565673", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07057.pdf"]}, {"id": "076d3fc800d882445c11b9af466c3af7d2afc64f", "title": "Face attribute classification using attribute-aware correlation map and gated convolutional neural networks", "addresses": [{"address": "Korea Advanced Institute of Science and Technology", "lat": "36.36971910", "lng": "127.36253700", "type": "edu"}], "year": "2015", "pdf": ["http://slsp.kaist.ac.kr/paperdata/Face_attribute_classification.pdf"]}, {"id": "e1256ff535bf4c024dd62faeb2418d48674ddfa2", "title": "Towards Open-Set Identity Preserving Face Synthesis", "addresses": [{"address": "University of Science and Technology of China", "lat": "31.83907195", "lng": "117.26420748", "type": "edu"}, {"address": "Microsoft", "lat": "47.64233180", "lng": "-122.13693020", "type": "company"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11182.pdf"]}, {"id": "77c5437107f8138d48cb7e10b2b286fa51473678", "title": "A pseudo ensemble convolutional neural networks", "addresses": [{"address": "Electronics and Telecommunications Research Institute, Daejeon, Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu"}, {"address": "University of Science and Technology, Korea", "lat": "36.38513950", "lng": "127.36834130", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "93eb3963bc20e28af26c53ef3bce1e76b15e3209", "title": "Occlusion robust face recognition based on mask learning", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "16b9d258547f1eccdb32111c9f45e2e4bbee79af", "title": "NormFace: L2 Hypersphere Embedding for Face Verification", "addresses": [{"address": "University of Electronic Science and Technology of China", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06369.pdf"]}, {"id": "7e2cfbfd43045fbd6aabd9a45090a5716fc4e179", "title": "Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate", "addresses": [{"address": "Beijing Jiaotong University", "lat": "39.94976005", "lng": "116.33629046", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00435.pdf"]}, {"id": "dd65f71dac86e36eecbd3ed225d016c3336b4a13", "title": "Visual Kinship Recognition of Families in the Wild", "addresses": [{"address": "University of Massachusetts Dartmouth", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu"}, {"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}], "year": "2018", "pdf": ["https://web.northeastern.edu/smilelab/fiw/papers/Supplemental_PP.pdf", "https://web.northeastern.edu/smilelab/fiw/papers/tpami-final.pdf"]}, {"id": "c2508af974b8b1fd4ef097ef625e8bfd07474be0", "title": "Correlation-Based Face Detection for Recognizing Faces in Videos", "addresses": [{"address": "Stanford University", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu"}, {"address": "National Chiao Tung University", "lat": "24.78676765", "lng": "120.99724412", "type": "edu"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0003101.pdf"]}, {"id": "99facca6fc50cc30f13b7b6dd49ace24bc94f702", "title": "VIPLFaceNet: an open source deep face recognition SDK", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03892.pdf"]}, {"id": "11ad162b3165b4353df8d7b4153fb26d6a310d11", "title": "Recognizing Families In the Wild (RFIW): Data Challenge Workshop in conjunction with ACM MM 2017", "addresses": [{"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}, {"address": "University of Massachusetts Dartmouth", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "2a48dc596c7a2f496169360e819b56a6c8d38e67", "title": "Fine Tuning Dual Streams Deep Network with Multi-scale Pyramid Decision for Heterogeneous Face Recognition", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "b50edfea790f86373407a964b4255bf8e436d377", "title": "Group emotion recognition with individual facial emotion CNNs and global image based CNNs", "addresses": [{"address": "National Taiwan University", "lat": "25.01682835", "lng": "121.53846924", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "c17c7b201cfd0bcd75441afeaa734544c6ca3416", "title": "Layerwise Class-Aware Convolutional Neural Network", "addresses": [{"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}, {"address": "Southeast University", "lat": "32.05752790", "lng": "118.78682252", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "585260468d023ffc95f0e539c3fa87254c28510b", "title": "Cardea: Context-Aware Visual Privacy Protection from Pervasive Cameras", "addresses": [{"address": "Hong Kong University of Science and Technology", "lat": "22.33863040", "lng": "114.26203370", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00889.pdf"]}, {"id": "3b9b200e76a35178da940279d566bbb7dfebb787", "title": "Learning Channel Inter-dependencies at Multiple Scales on Dense Networks for Face Recognition", "addresses": [{"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10103.pdf"]}, {"id": "8bfada57140aa1aa22a575e960c2a71140083293", "title": "Can we match Ultraviolet Face Images against their Visible Counterparts ?", "addresses": [{"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8bfa/da57140aa1aa22a575e960c2a71140083293.pdf"]}, {"id": "72a7eb68f0955564e1ceafa75aeeb6b5bbb14e7e", "title": "Face Recognition with Contrastive Convolution", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/72a7/eb68f0955564e1ceafa75aeeb6b5bbb14e7e.pdf"]}, {"id": "44b827df6c433ca49bcf44f9f3ebfdc0774ee952", "title": "Deep Correlation Feature Learning for Face Verification in the Wild", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "58d76380d194248b3bb291b8c7c5137a0a376897", "title": "FaceID-GAN : Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}, {"address": "Shenzhen Institutes of Advanced Technology", "lat": "22.59805605", "lng": "113.98533784", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/58d7/6380d194248b3bb291b8c7c5137a0a376897.pdf"]}, {"id": "b6f758be954d34817d4ebaa22b30c63a4b8ddb35", "title": "A Proximity-Aware Hierarchical Clustering of Faces", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04835.pdf"]}, {"id": "511a8cdf2127ef8aa07cbdf9660fe9e0e2dfbde7", "title": "A Community Detection Approach to Cleaning Extremely Large Face Database", "addresses": [{"address": "National University of Defense Technology, China", "lat": "28.22902090", "lng": "112.99483204", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/511a/8cdf2127ef8aa07cbdf9660fe9e0e2dfbde7.pdf"]}, {"id": "cdef0eaff4a3c168290d238999fc066ebc3a93e8", "title": "Contrastive-center loss for deep neural networks", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07391.pdf"]}, {"id": "1e62ca5845a6f0492574a5da049e9b43dbeadb1b", "title": "Cross-Modality Face Recognition via Heterogeneous Joint Bayesian", "addresses": [{"address": "Alibaba Group, Hangzhou, China", "lat": "30.28106540", "lng": "120.02139087", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"address": "University of Washington", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.00596.pdf"]}, {"id": "40883844c1ceab95cb92498a92bfdf45beaa288e", "title": "Improving Heterogeneous Face Recognition with Conditional Adversarial Networks", "addresses": [{"address": "Stony Brook University", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02848.pdf"]}, {"id": "8ec82da82416bb8da8cdf2140c740e1574eaf84f", "title": "Lip Reading in Profile", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8ec8/2da82416bb8da8cdf2140c740e1574eaf84f.pdf"]}, {"id": "61efeb64e8431cfbafa4b02eb76bf0c58e61a0fa", "title": "Merging datasets through deep learning", "addresses": [{"address": "IBM Research, North Carolina", "lat": "35.90422720", "lng": "-78.85565763", "type": "company"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01604.pdf"]}, {"id": "a8748a79e8d37e395354ba7a8b3038468cb37e1f", "title": "Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w9/papers/Reale_Seeing_the_Forest_CVPR_2016_paper.pdf"]}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"address": "Facebook", "lat": "37.39367170", "lng": "-122.08072620", "type": "company"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"]}, {"id": "052f994898c79529955917f3dfc5181586282cf8", "title": "Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos", "addresses": [{"address": "Dalian University of Technology", "lat": "38.88140235", "lng": "121.52281098", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02191.pdf"]}, {"id": "d35534f3f59631951011539da2fe83f2844ca245", "title": "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks", "addresses": [{"address": "University of California, San Diego", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu"}, {"address": "Stanford University", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07904.pdf"]}, {"id": "6880013eb0b91a2b334e0be0dced0a1a79943469", "title": "Discrimination-aware Channel Pruning for Deep Neural Networks", "addresses": [{"address": "South China University of Technology", "lat": "23.05020420", "lng": "113.39880323", "type": "edu"}, {"address": "University of Texas at Arlington", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11809.pdf"]}, {"id": "9fb93b7c2bae866608f26c4254e5bd69cc5031d6", "title": "Fast Geometrically-Perturbed Adversarial Faces", "addresses": [{"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08999.pdf"]}, {"id": "92de9a54515f4ac8cc8e4e6b0dfab20e5e6bb09d", "title": "Quality scores for deep regression systems", "addresses": [{"address": "FDNA Israel", "lat": "32.16388240", "lng": "34.81158620", "type": "company"}], "year": "2016", "pdf": []}, {"id": "2d748f8ee023a5b1fbd50294d176981ded4ad4ee", "title": "Triplet Similarity Embedding for Face Verification", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03418.pdf"]}, {"id": "f3495bf7f7d827c72cc4e7a4850eaf54a998db11", "title": "Trends and Controversies", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "Istanbul Technical University", "lat": "41.10427915", "lng": "29.02231159", "type": "edu"}, {"address": "Maastricht University", "lat": "50.83367120", "lng": "5.71589000", "type": "edu"}, {"address": "SensoMotoric Instruments", "lat": "42.36329100", "lng": "-71.05010180", "type": "company"}, {"address": "Universidad Autonoma de Madrid", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu"}, {"address": "University of Beira Interior", "lat": "40.27730770", "lng": "-7.50958010", "type": "edu"}, {"address": "University of Ljubljana", "lat": "46.05015580", "lng": "14.46907327", "type": "edu"}, {"address": "University of Naples Federico II", "lat": "40.84549200", "lng": "14.25780580", "type": "edu"}, {"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}, {"address": "University of Southampton", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu"}, {"address": "Universit\u00e0 di Salerno Italy", "lat": "40.76469490", "lng": "14.78891510", "type": "edu"}, {"address": "Warsaw University of Technology", "lat": "52.22165395", "lng": "21.00735776", "type": "edu"}], "year": "2018", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/mex201803.issue.pdf"]}, {"id": "5495e224ac7b45b9edc5cfeabbb754d8a40a879b", "title": "Feature Reconstruction Disentangling for Pose-invariant Face Recognition Supplementary Material", "addresses": [{"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5495/e224ac7b45b9edc5cfeabbb754d8a40a879b.pdf"]}, {"id": "cd55fb30737625e86454a2861302b96833ed549d", "title": "Annotating Unconstrained Face Imagery: A scalable approach", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}, {"address": "Noblis, Falls Church, VA, U.S.A.", "lat": "38.95187000", "lng": "-77.36325900", "type": "company"}], "year": "2015", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/TaborskyAllenBlantonJainKlare_UnconstrainedFaceAnnotation_ICB15.pdf"]}, {"id": "7ffef9f26c39377ee937d29b8990580266a7a8a5", "title": "Deep Metric Learning with Hierarchical Triplet Loss", "addresses": [{"address": "University of Hong Kong", "lat": "22.20814690", "lng": "114.25964115", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06951.pdf"]}, {"id": "48320c6c156e7e25bfc04171b5ee6003de356a11", "title": "AF-Softmax for Face Recognition", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "856bd32ee16cc531bcb1814fbae2f66582e21cc7", "title": "Face Verification via Learned Representation on Feature-Rich Video Frames", "addresses": [{"address": "Indraprastha Institute of Information Technology Delhi, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu"}], "year": "2017", "pdf": ["http://iab-rubric.org/papers/Goswami-VideoTIFS.pdf"]}, {"id": "0d8cec1b3f9b6e25d9d31eeb54d8894a1f2ef84f", "title": "Deep Coupled ResNet for Low-Resolution Face Recognition", "addresses": [{"address": "Nanyang Technological University", "lat": "1.34841040", "lng": "103.68297965", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "862d17895fe822f7111e737cbcdd042ba04377e8", "title": "Semi-Latent GAN: Learning to generate and modify facial images from attributes", "addresses": [{"address": "Fudan University", "lat": "31.30104395", "lng": "121.50045497", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02166.pdf"]}, {"id": "4b605e6a9362485bfe69950432fa1f896e7d19bf", "title": "A Comparison of Human and Automated Face Verification Accuracy on Unconstrained Image Sets", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2016", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/BlantonAllenMillerKalkaJain_CVPRWB2016_HID.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Blanton_A_Comparison_of_CVPR_2016_paper.pdf"]}, {"id": "14d72dc9f78d65534c68c3ed57305f14bd4b5753", "title": "Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles", "addresses": [{"address": "Peking University", "lat": "39.99223790", "lng": "116.30393816", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Yan_Exploiting_Multi-Grain_Ranking_ICCV_2017_paper.pdf"]}, {"id": "0ad8149318912b5449085187eb3521786a37bc78", "title": "CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval", "addresses": [{"address": "University of Caen", "lat": "35.02749960", "lng": "135.78154513", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02975.pdf"]}, {"id": "47190d213caef85e8b9dd0d271dbadc29ed0a953", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"address": "University of California, San Diego", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu"}, {"address": "Nanyang Technological University", "lat": "1.34841040", "lng": "103.68297965", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"]}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"address": "Fudan University", "lat": "31.30104395", "lng": "121.50045497", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "3661a34f302883c759b9fa2ce03de0c7173d2bb2", "title": "Peak-Piloted Deep Network for Facial Expression Recognition", "addresses": [{"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06997.pdf"]}, {"id": "2594a77a3f0dd5073f79ba620e2f287804cec630", "title": "Regularizing Face Verification Nets For Pain Intensity Regression", "addresses": [{"address": "Johns Hopkins University", "lat": "39.32905300", "lng": "-76.61942500", "type": "edu"}, {"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06925.pdf"]}, {"id": "987a649cb33302c41412419f8eeb77048aa5513e", "title": "Visual Psychophysics for Making Face Recognition Algorithms More Explainable", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}, {"address": "Harvard University", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07140.pdf"]}, {"id": "70569810e46f476515fce80a602a210f8d9a2b95", "title": "Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models", "addresses": [{"address": "EURECOM", "lat": "43.61438600", "lng": "7.07112500", "type": "edu"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Antipov_Apparent_Age_Estimation_CVPR_2016_paper.pdf", "http://www.eurecom.fr/en/publication/4908/download/sec-publi-4908.pdf"]}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"address": "University of Electronic Science and Technology of China", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu"}, {"address": "Georgia Institute of Technology", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"]}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"address": "Fudan University", "lat": "31.30104395", "lng": "121.50045497", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification in the wild", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"]}, {"id": "eed93d2e16b55142b3260d268c9e72099c53d5bc", "title": "ICFVR 2017: 3rd international competition on finger vein recognition", "addresses": [{"address": "Peking University", "lat": "39.99223790", "lng": "116.30393816", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1801.01262.pdf"]}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"address": "Concordia University", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"]}, {"id": "8d955b025495522e67e8cb6e29436001ebbd0abb", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "addresses": [{"address": "Sichuan University, Chengdu", "lat": "30.64276900", "lng": "104.06751175", "type": "edu"}, {"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11366.pdf"]}, {"id": "c92e36689ef561df726a7ae861d9c166c3934908", "title": "Face hallucination by deep traversal network", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "2296d79753118cfcd0fecefece301557f4cb66e2", "title": "Exploring Disentangled Feature Representation Beyond Face Identification", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}, {"address": "SenseTime", "lat": "39.99300800", "lng": "116.32988200", "type": "company"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03487.pdf"]}, {"id": "02820c1491b10a1ff486fed32c269e4077c36551", "title": "Active user authentication for smartphones: A challenge data set and benchmark results", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.07930.pdf"]}, {"id": "486c9a0e5eb1e0bf107c31c2bf9689b25e18383b", "title": "Face Recognition: Primates in the Wild", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08790.pdf"]}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"address": "University of Colorado, Colorado Springs", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02337.pdf"]}, {"id": "61f93ed515b3bfac822deed348d9e21d5dffe373", "title": "Deep Image Set Hashing", "addresses": [{"address": "Columbia University", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.05381.pdf"]}, {"id": "19458454308a9f56b7de76bf7d8ff8eaa52b0173", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1945/8454308a9f56b7de76bf7d8ff8eaa52b0173.pdf"]}, {"id": "7fb7ccc1aa093ca526f2d8b6f2c404d2c886f69a", "title": "A multi-view face database from Turkish TV series", "addresses": [{"address": "Istanbul Technical University", "lat": "41.10427915", "lng": "29.02231159", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "26973cf1552250f402c82e9a4445f03fe6757b58", "title": "Surveillance Video Quality Assessment Based on Face Recognition", "addresses": [{"address": "Peking University", "lat": "39.99223790", "lng": "116.30393816", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "dd471f321ead8b405da6194057b2778ef3db7ea7", "title": "Multi-Task Adversarial Network for Disentangled Feature Learning", "addresses": [{"address": "University of Cambridge", "lat": "52.17638955", "lng": "0.14308882", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dd47/1f321ead8b405da6194057b2778ef3db7ea7.pdf"]}, {"id": "55266ddbe9d5366e8cd1b0b645971cad6d12157a", "title": "Face recognition classifier based on dimension reduction in deep learning properties", "addresses": [{"address": "Bili\u015fim Technology Instititute", "lat": "40.78612700", "lng": "29.44563290", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "7fb5006b6522436ece5bedf509e79bdb7b79c9a7", "title": "Multi-Task Convolutional Neural Network for Face Recognition", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7fb5/006b6522436ece5bedf509e79bdb7b79c9a7.pdf"]}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"]}, {"id": "1ed49161e58559be399ce7092569c19ddd39ca0b", "title": "Transferring from face recognition to face attribute prediction through adaptive selection of off-the-shelf CNN representations", "addresses": [{"address": "KTH Royal Institute of Technology, Stockholm", "lat": "59.34986645", "lng": "18.07063213", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "82e66c4832386cafcec16b92ac88088ffd1a1bc9", "title": "OpenFace : A general-purpose face recognition library with mobile applications", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}, {"address": "Poznan University of Technology", "lat": "52.40048370", "lng": "16.95158083", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/82e6/6c4832386cafcec16b92ac88088ffd1a1bc9.pdf"]}, {"id": "6fbb179a4ad39790f4558dd32316b9f2818cd106", "title": "Input Aggregated Network for Face Video Representation", "addresses": [{"address": "Stony Brook University", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06655.pdf"]}, {"id": "b4e889af57295dff9498ba476893a359a91b8a3e", "title": "Improving Speaker Turn Embedding by Crossmodal Transfer Learning from Face Embedding", "addresses": [{"address": "IDIAP Research Institute", "lat": "46.10923700", "lng": "7.08453549", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02749.pdf"]}, {"id": "5f448ab700528888019542e6fea1d1e0db6c35f2", "title": "Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization", "addresses": [{"address": "Huazhong University of Science and Technology", "lat": "30.50975370", "lng": "114.40628810", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "438c4b320b9a94a939af21061b4502f4a86960e3", "title": "Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition", "addresses": [{"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.03041.pdf"]}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"address": "Beijing Jiaotong University", "lat": "39.94976005", "lng": "116.33629046", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"]}, {"id": "1afef6b389bd727c566cd6fbcd99adefe4c0cf32", "title": "Towards resolution invariant face recognition in uncontrolled scenarios", "addresses": [{"address": "Sichuan University, Chengdu", "lat": "30.64276900", "lng": "104.06751175", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "a75dfb5a839f0eb4b613d150f54a418b7812aa90", "title": "Multibiometric secure system based on deep learning", "addresses": [{"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02314.pdf"]}, {"id": "23ecc496eaa238ac884e6bae5763f6138a9c90a3", "title": "Discriminative Feature Adaptation for cross-domain facial expression recognition", "addresses": [{"address": "Sichuan University, Chengdu", "lat": "30.64276900", "lng": "104.06751175", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"address": "University of Groningen", "lat": "53.21967825", "lng": "6.56251482", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"]}, {"id": "3c563542db664321aa77a9567c1601f425500f94", "title": "TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition", "addresses": [{"address": "University of Queensland", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02514.pdf"]}, {"id": "772474b5b0c90629f4d9c223fd9c1ef45e1b1e66", "title": "Multi-dim: A multi-dimensional face database towards the application of 3D technology in real-world scenarios", "addresses": [{"address": "Sichuan University, Chengdu", "lat": "30.64276900", "lng": "104.06751175", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "4e7ed13e541b8ed868480375785005d33530e06d", "title": "Face recognition using deep multi-pose representations", "addresses": [{"address": "University of Southern California", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu"}, {"address": "Open University", "lat": "52.02453775", "lng": "-0.70927481", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07388.pdf"]}, {"id": "02467703b6e087799e04e321bea3a4c354c5487d", "title": "Grouper: Optimizing Crowdsourced Face Annotations", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2016", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/AdamsAllenMillerKalkaJain_CVPRWB2016_GRPR.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Adams_Grouper_Optimizing_Crowdsourced_CVPR_2016_paper.pdf"]}, {"id": "7224d58a7e1f02b84994b60dc3b84d9fe6941ff5", "title": "When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}, {"address": "Queen Mary University of London", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.02351.pdf"]}, {"id": "39f525f3a0475e6bbfbe781ae3a74aca5b401125", "title": "Deep Joint Face Hallucination and Recognition", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08091.pdf"]}, {"id": "a4bb791b135bdc721c8fcc5bdef612ca654d7377", "title": "Location-sensitive sparse representation of deep normal patterns for expression-robust 3D face recognition", "addresses": [{"address": "Xi'an Jiaotong University", "lat": "34.24749490", "lng": "108.97898751", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "d28d32af7ef9889ef9cb877345a90ea85e70f7f1", "title": "Local-Global Landmark Confidences for Face Recognition", "addresses": [{"address": "University of Southern California", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Kim_Local.pdf"]}, {"id": "f1d6da83dcf71eda45a56a86c5ae13e7f45a8536", "title": "A Secure Face-Verification Scheme Based on Homomorphic Encryption and Deep Neural Networks", "addresses": [{"address": "Beijing University of Technology", "lat": "39.87391435", "lng": "116.47722285", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "68e6cfb0d7423d3fae579919046639c8e2d04ad7", "title": "Multi-task ConvNet for blind face inpainting with application to face verification", "addresses": [{"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "e9a5a38e7da3f0aa5d21499149536199f2e0e1f7", "title": "A Bayesian Scene-Prior-Based Deep Network Model for Face Verification", "addresses": [{"address": "Beihang University", "lat": "39.98083330", "lng": "116.34101249", "type": "edu"}, {"address": "Curtin University", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e9a5/a38e7da3f0aa5d21499149536199f2e0e1f7.pdf"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"address": "Korea Advanced Institute of Science and Technology", "lat": "36.36971910", "lng": "127.36253700", "type": "edu"}, {"address": "Samsung SAIT, Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company"}], "year": "2018", "pdf": []}, {"id": "f5eb0cf9c57716618fab8e24e841f9536057a28a", "title": "Rethinking Feature Distribution for Loss Functions in Image Classification", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02988.pdf"]}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"address": "Shenzhen Institutes of Advanced Technology", "lat": "22.59805605", "lng": "113.98533784", "type": "edu"}, {"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"]}, {"id": "2679e4f84c5e773cae31cef158eb358af475e22f", "title": "Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}, {"address": "Hong Kong Polytechnic University", "lat": "22.30457200", "lng": "114.17976285", "type": "edu"}, {"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Liu_Adaptive_Deep_Metric_CVPR_2017_paper.pdf"]}, {"id": "9103148dd87e6ff9fba28509f3b265e1873166c9", "title": "Face Analysis using 3 D Morphable Models", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9103/148dd87e6ff9fba28509f3b265e1873166c9.pdf"]}, {"id": "e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7", "title": "Toward End-to-End Face Recognition Through Alignment Learning", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07174.pdf"]}, {"id": "a52a69bf304d49fba6eac6a73c5169834c77042d", "title": "Margin Loss: Making Faces More Separable", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "15ef65fd68d61f3d47326e358c446b0f054f093a", "title": "Learning guided convolutional neural networks for cross-resolution face recognition", "addresses": [{"address": "National Chiao Tung University", "lat": "24.78676765", "lng": "120.99724412", "type": "edu"}, {"address": "Academia Sinica, Taiwan", "lat": "25.04117270", "lng": "121.61465180", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "8d3e95c31c93548b8c71dbeee2e9f7180067a888", "title": "Template regularized sparse coding for face verification", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "GE Global Research", "lat": "42.82715560", "lng": "-73.87804810", "type": "company"}], "year": "2016", "pdf": []}, {"id": "d6791b98353aa113d79f6fb96335aa6c7ea3b759", "title": "Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}, {"address": "University of Massachusetts Dartmouth", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu"}, {"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "4d16337cc0431cd43043dfef839ce5f0717c3483", "title": "A Scalable and Privacy-Aware IoT Service for Live Video Analytics", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4d16/337cc0431cd43043dfef839ce5f0717c3483.pdf"]}, {"id": "e4c3587392d477b7594086c6f28a00a826abf004", "title": "Face recognition by facial attribute assisted network", "addresses": [{"address": "National Taiwan University of Science and Technology", "lat": "25.01353105", "lng": "121.54173736", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "title": "SREFI: Synthesis of realistic example face images", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06693.pdf"]}, {"id": "d29eec5e047560627c16803029d2eb8a4e61da75", "title": "Feature Transfer Learning for Deep Face Recognition with Long-Tail Data", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09014.pdf"]}, {"id": "35f03f5cbcc21a9c36c84e858eeb15c5d6722309", "title": "Placing Broadcast News Videos in their Social Media Context Using Hashtags", "addresses": [{"address": "Columbia University", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "title": "Apparent Age Estimation Using Ensemble of Deep Learning Models", "addresses": [{"address": "Istanbul Technical University", "lat": "41.10427915", "lng": "29.02231159", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02909.pdf"]}, {"id": "7788fa76f1488b1597ee2bebc462f628e659f61e", "title": "A Privacy-Aware Architecture at the Edge for Autonomous Real-Time Identity Reidentification in Crowds", "addresses": [{"address": "University of Texas at San Antonio", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "39c10888a470b92b917788c57a6fd154c97b421c", "title": "Joint multi-feature fusion and attribute relationships for facial attribute prediction", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"]}, {"id": "3107316f243233d45e3c7e5972517d1ed4991f91", "title": "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training", "addresses": [{"address": "University of Science and Technology of China", "lat": "31.83907195", "lng": "117.26420748", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10155.pdf"]}, {"id": "cae41c3d5508f57421faf672ee1bea0da4be66e0", "title": "Palmprint recognition via discriminative index learning", "addresses": [{"address": "University of Lugano", "lat": "46.01073700", "lng": "8.95810900", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "a3201e955d6607d383332f3a12a7befa08c5a18c", "title": "VLAD encoded Deep Convolutional features for unconstrained face verification", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/ICPR2016_FV_CNN_final.pdf"]}, {"id": "486840f4f524e97f692a7f6b42cd19019ee71533", "title": "DeepVisage: Making Face Recognition Simple Yet With Powerful Generalization Skills", "addresses": [{"address": "\u00c9cole Centrale de Lyon", "lat": "45.78359660", "lng": "4.76789480", "type": "edu"}, {"address": "Safran Identity and Security", "lat": "48.83249300", "lng": "2.26747400", "type": "company"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08388.pdf"]}, {"id": "91b7270b7f2a8a52df6a689f73d14986b2d48ba1", "title": "Improving Convolutional Neural Networks Via Compacting Features", "addresses": [{"address": "Collaborative Innovation Center for Geospatial Information Technology, Wuhan, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu"}, {"address": "Wuhan University of Technology", "lat": "30.60903415", "lng": "114.35142840", "type": "edu"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0002946.pdf"]}, {"id": "2f16baddac6af536451b3216b02d3480fc361ef4", "title": "Web-scale training for face identification", "addresses": [{"address": "Tel Aviv University", "lat": "32.11198890", "lng": "34.80459702", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1406.5266.pdf"]}, {"id": "73f341ff68caa9f8802e9e81bfa90d88bbdbd9d2", "title": "Report on the BTAS 2016 Video Person Recognition Evaluation", "addresses": [{"address": "University of Ljubljana", "lat": "46.05015580", "lng": "14.46907327", "type": "edu"}, {"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}, {"address": "University of Technology Sydney", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu"}, {"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2016", "pdf": ["https://www.wjscheirer.com/papers/wjs_btas2016_video_challenge.pdf"]}, {"id": "fe0cf8eaa5a5f59225197ef1bb8613e603cd96d4", "title": "Improved Face Verification with Simple Weighted Feature Combination", "addresses": [{"address": "Tongji University", "lat": "31.28473925", "lng": "121.49694909", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4e20/8cfff33327863b5aeef0bf9b327798a5610c.pdf"]}, {"id": "c43ed9b34cad1a3976bac7979808eb038d88af84", "title": "Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03675.pdf"]}, {"id": "9627f28ea5f4c389350572b15968386d7ce3fe49", "title": "Load Balanced GANs for Multi-view Face Image Synthesis", "addresses": [{"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07447.pdf"]}, {"id": "44f48a4b1ef94a9104d063e53bf88a69ff0f55f3", "title": "Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08107.pdf"]}, {"id": "ba6769c165967c8dcb11fe5e0be2153ddbe99c7e", "title": "Deep learning for gender recognition", "addresses": [{"address": "Harbin Institute of Technology", "lat": "45.74139210", "lng": "126.62552755", "type": "edu"}, {"address": "Nanyang Technological University", "lat": "1.34841040", "lng": "103.68297965", "type": "edu"}], "year": "2015", "pdf": []}, {"id": "6ce23cf4f440021b7b05aa3c1c2700cc7560b557", "title": "Learning Local Convolutional Features for Face Recognition with 2D-Warping", "addresses": [{"address": "RWTH Aachen University", "lat": "50.77917030", "lng": "6.06728733", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6ce2/3cf4f440021b7b05aa3c1c2700cc7560b557.pdf"]}, {"id": "f5eb411217f729ad7ae84bfd4aeb3dedb850206a", "title": "Tackling Low Resolution for Better Scene Understanding", "addresses": [{"address": "International Institute of Information Technology", "lat": "17.44549570", "lng": "78.34854698", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f5eb/411217f729ad7ae84bfd4aeb3dedb850206a.pdf"]}, {"id": "92e464a5a67582d5209fa75e3b29de05d82c7c86", "title": "Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition", "addresses": [{"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92e4/64a5a67582d5209fa75e3b29de05d82c7c86.pdf"]}, {"id": "cd2f8d661ea2c6d6818a278eb4f0548751c3b1ae", "title": "Improving CNN Performance Accuracies With Min\u2013Max Objective", "addresses": [{"address": "Xi'an Jiaotong University", "lat": "34.24749490", "lng": "108.97898751", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "0334a8862634988cc684dacd4279c5c0d03704da", "title": "FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06591.pdf"]}, {"id": "3d1b59fa0252e72afd8b107a1dac47cc2d5f8bb2", "title": "Recognizing Minimal Facial Sketch by Generating Photorealistic Faces With the Guidance of Descriptive Attributes", "addresses": [{"address": "Shanghai Jiao Tong University", "lat": "31.20081505", "lng": "121.42840681", "type": "edu"}, {"address": "Tsinghua National Lab for Information Science and Technology, Beijing", "lat": "39.99674580", "lng": "116.33229460", "type": "edu"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001688.pdf"]}, {"id": "31f1e711fcf82c855f27396f181bf5e565a2f58d", "title": "Unconstrained Age Estimation with Deep Convolutional Neural Networks", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Ranjan_Unconstrained_Age_Estimation_ICCV_2015_paper.pdf", "http://www.rci.rutgers.edu/~vmp93/Conference_pub/Age_iccv2015.pdf"]}, {"id": "a2d1818eb461564a5153c74028e53856cf0b40fd", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"address": "Tencent", "lat": "22.54471540", "lng": "113.93571640", "type": "company"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"]}, {"id": "4c8ef4f98c6c8d340b011cfa0bb65a9377107970", "title": "Sentiment Recognition in Egocentric Photostreams", "addresses": [{"address": "University of Groningen", "lat": "53.21967825", "lng": "6.56251482", "type": "edu"}, {"address": "University of Barcelona", "lat": "41.38689130", "lng": "2.16352385", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09933.pdf"]}, {"id": "035c8632c1ffbeb75efe16a4ec50c91e20e6e189", "title": "Kinship verification from facial images and videos: human versus machine", "addresses": [{"address": "University of Oulu", "lat": "65.05921570", "lng": "25.46632601", "type": "edu"}], "year": "2018", "pdf": ["https://people.eng.unimelb.edu.au/vkostakos/files/papers/mva18.pdf"]}]}
\ No newline at end of file +{"id": "853bd61bc48a431b9b1c7cab10c603830c488e39", "dataset": {"key": "casia_webface", "name_short": "CASIA Webface", "using": "Y", "ft_share": "1", "subset_of": "", "superset_of": "", "name_full": "CAISA Webface Dataset", "url": "http://www.cbsr.ia.ac.cn/english/CASIA-WebFace-Database.html", "added_on": "", "faces": "", "pdf_paper": "Y", "comments": "names are derived from celebrities on IMDB. webfaces site removed (in August 2018), webisite for center is here: http://www.cbsr.ia.ac.cn/english/Databases.asp", "": "", "relevance": ""}, "statistics": {"key": "casia_webface", "name": "CASIA Webface", "berit": "Y", "charlie": "", "adam": "", "priority": "N", "wild": "Y", "indoor": "", "outdoor": "", "cyberspace": "Y", "names": "", "downloaded": "N", "year_start": "", "year_end": "", "year_published": "2014", "ongoing": "", "images": "494,414 ", "videos": "", "faces_unique": "10,575 ", "total_faces": "", "img_per_person": "", "num_cameras": "", "faces_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "derivative_of": "Y", "tags": "fr, gender", "source": "imdb", "purpose_short": "identification, gender", "size_gb": "", "agreement": "N", "agree_requied": "", "agreement_signed": "", "comment": "discrepancy on date, using date cited in VGGFaces2 paper", "comment 2": "", "comment 3": "", "": ""}, "paper": {"paper_id": "853bd61bc48a431b9b1c7cab10c603830c488e39", "key": "casia_webface", "title": "Learning Face Representation from Scratch", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.7923.pdf"], "address": "", "name": "CASIA Webface", "doi": []}, "address": null, "additional_papers": [], "citations": [{"id": "def2983576001bac7d6461d78451159800938112", "title": "The Do\u2019s and Don\u2019ts for CNN-Based Face Verification", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07426.pdf"]}, {"id": "e94dfdc5581f6bc0338e21ad555b5f1734f8697e", "title": "Learning to Anonymize Faces for Privacy Preserving Action Detection", "addresses": [{"address": "University of California, Davis", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11556.pdf"]}, {"id": "68c3e61cefcfe4812df54be12625dabe66fb06a4", "title": "A Compact Deep Learning Model for Robust Facial Expression Recognition", "addresses": [{"address": "National Tsing Hua University", "lat": "24.79254840", "lng": "120.99511830", "type": "edu"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/68c3/e61cefcfe4812df54be12625dabe66fb06a4.pdf"]}, {"id": "4bd3de97b256b96556d19a5db71dda519934fd53", "title": "Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition", "addresses": [{"address": "South China University of Technology", "lat": "23.05020420", "lng": "113.39880323", "type": "edu"}, {"address": "Shenzhen Institutes of Advanced Technology", "lat": "22.59805605", "lng": "113.98533784", "type": "edu"}], "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"]}, {"id": "cd6aaa37fffd0b5c2320f386be322b8adaa1cc68", "title": "Deep Face Recognition: A Survey", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06655.pdf"]}, {"id": "2744e6d526b8f2c1b297ac2d2458aaa08b0cda11", "title": "Example image-based feature extraction for face recognition", "addresses": [{"address": "Korea Advanced Institute of Science and Technology", "lat": "36.36971910", "lng": "127.36253700", "type": "edu"}, {"address": "Ajou University", "lat": "37.28300030", "lng": "127.04548469", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "368d59cf1733af511ed8abbcbeb4fb47afd4da1c", "title": "To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}, {"address": "University of Ljubljana", "lat": "46.05015580", "lng": "14.46907327", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.04823.pdf"]}, {"id": "63a6c256ec2cf2e0e0c9a43a085f5bc94af84265", "title": "Complexity of multiverse networks and their multilayer generalization", "addresses": [{"address": "Tel Aviv University", "lat": "32.11198890", "lng": "34.80459702", "type": "edu"}], "year": "2016", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/complexity-multiverse-networks.pdf"]}, {"id": "c9efcd8e32dced6efa2bba64789df8d0a8e4996a", "title": "Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition", "addresses": [{"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "f6e6b4d0b7c16112dcb71ff502033a2187b1ec9b", "title": "Understanding Blooming Human Groups in Social Networks", "addresses": [{"address": "Hefei University of Technology", "lat": "31.84691800", "lng": "117.29053367", "type": "edu"}, {"address": "University of Texas at San Antonio", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu"}, {"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}], "year": "2015", "pdf": []}, {"id": "96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9", "title": "State-of-the-art face recognition performance using publicly available software and datasets", "addresses": [{"address": "Universit\u00e9 Paris-Saclay, France", "lat": "48.84760370", "lng": "2.26399340", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "870433ba89d8cab1656e57ac78f1c26f4998edfb", "title": "Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network", "addresses": [{"address": "Open University of Israel", "lat": "32.77824165", "lng": "34.99565673", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.04904.pdf"]}, {"id": "c53352a4239568cc915ad968aff51c49924a3072", "title": "Transfer Representation-Learning for Anomaly Detection", "addresses": [{"address": "University College London", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c533/52a4239568cc915ad968aff51c49924a3072.pdf"]}, {"id": "17423fe480b109e1d924314c1dddb11b084e8a42", "title": "Deep Disguised Faces Recognition", "addresses": [{"address": "National Taiwan University", "lat": "25.01682835", "lng": "121.53846924", "type": "edu"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1742/3fe480b109e1d924314c1dddb11b084e8a42.pdf"]}, {"id": "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "title": "Frankenstein: Learning Deep Face Representations Using Small Data", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06470.pdf"]}, {"id": "b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9", "title": "Dynamic Feature Matching for Partial Face Recognition", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"address": "Electrical and Computer Engineering", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu"}, {"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "1ba9d12f24ac04f0309e8ff9b0162c6e18d97dc3", "title": "Robust Face Recognition with Deep Multi-View Representation Learning", "addresses": [{"address": "Hefei University of Technology", "lat": "31.84691800", "lng": "117.29053367", "type": "edu"}, {"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "73ea06787925157df519a15ee01cc3dc1982a7e0", "title": "Fast Face Image Synthesis with Minimal Training", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.01474.pdf"]}, {"id": "1d7df3df839a6aa8f5392310d46b2a89080a3c25", "title": "Large-Margin Softmax Loss for Convolutional Neural Networks", "addresses": [{"address": "South China University of Technology", "lat": "23.05020420", "lng": "113.39880323", "type": "edu"}, {"address": "Shenzhen University", "lat": "22.53521465", "lng": "113.93159110", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.02295.pdf"]}, {"id": "8ea8cdee6f62751d87339f821d2b2a094ab4b260", "title": "Enabling Live Video Analytics with a Scalable and Privacy-Aware Framework", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}, {"address": "Intel Labs, Pittsburgh PA", "lat": "40.44397890", "lng": "-79.94646340", "type": "company"}], "year": "2018", "pdf": []}, {"id": "edff76149ec44f6849d73f019ef9bded534a38c2", "title": "Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption", "addresses": [{"address": "University of Tokyo", "lat": "35.90204480", "lng": "139.93622009", "type": "edu"}, {"address": "Tokyo, Japan", "lat": "35.68948750", "lng": "139.69170640", "type": "edu"}, {"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02203.pdf"]}, {"id": "dd8084b2878ca95d8f14bae73e1072922f0cc5da", "title": "Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02929.pdf"]}, {"id": "bd8f77b7d3b9d272f7a68defc1412f73e5ac3135", "title": "SphereFace: Deep Hypersphere Embedding for Face Recognition", "addresses": [{"address": "Georgia Institute of Technology", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}, {"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08063.pdf"]}, {"id": "9b2a272d4526b3eeeda0beb0d399074d5380a2b3", "title": "Learning to Align Images Using Weak Geometric Supervision", "addresses": [{"address": "Georgia Institute of Technology", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu"}, {"address": "Microsoft", "lat": "36.06303740", "lng": "-95.88099660", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01424.pdf"]}, {"id": "96e731e82b817c95d4ce48b9e6b08d2394937cf8", "title": "Unconstrained face verification using deep CNN features", "addresses": [{"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1508.01722.pdf"]}, {"id": "75858dbee2c248a60741fbc64dcad4f8b63d51cb", "title": "Markov Network-Based Unified Classifier for Face Recognition", "addresses": [{"address": "Korea Advanced Institute of Science and Technology", "lat": "36.36971910", "lng": "127.36253700", "type": "edu"}], "year": "2015", "pdf": []}, {"id": "1b3e7caf4b456e3762a827aa623c3fb88ca0b1a0", "title": "Contrapositive Margin Softmax Loss for Face Verification", "addresses": [{"address": "Sichuan University, Chengdu", "lat": "30.64276900", "lng": "104.06751175", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "a2b4a6c6b32900a066d0257ae6d4526db872afe2", "title": "Learning Face Image Quality From Human Assessments", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "7859667ed6c05a467dfc8a322ecd0f5e2337db56", "title": "Web-Scale Transfer Learning for Unconstrained 1 : N Face Identification", "addresses": [{"address": "Tel Aviv University", "lat": "32.11198890", "lng": "34.80459702", "type": "edu"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7859/667ed6c05a467dfc8a322ecd0f5e2337db56.pdf"]}, {"id": "b8084d5e193633462e56f897f3d81b2832b72dff", "title": "DeepID3: Face Recognition with Very Deep Neural Networks", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}, {"address": "Shenzhen Institutes of Advanced Technology", "lat": "22.59805605", "lng": "113.98533784", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00873.pdf"]}, {"id": "969fd48e1a668ab5d3c6a80a3d2aeab77067c6ce", "title": "End-To-End Face Detection and Recognition", "addresses": [{"address": "Zhejiang University", "lat": "30.19331415", "lng": "120.11930822", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10818.pdf"]}, {"id": "368e99f669ea5fd395b3193cd75b301a76150f9d", "title": "One-to-many face recognition with bilinear CNNs", "addresses": [{"address": "University of Massachusetts", "lat": "42.38897850", "lng": "-72.52869870", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1506.01342.pdf"]}, {"id": "b2470969e4fba92f7909eac26b77d08cc5575533", "title": "Profit Maximization Mechanism and Data Management for Data Analytics Services", "addresses": [{"address": "Nanyang Technological University", "lat": "1.34841040", "lng": "103.68297965", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "0c59071ddd33849bd431165bc2d21bbe165a81e0", "title": "Person Recognition in Personal Photo Collections", "addresses": [{"address": "Max Planck Institute for Informatics", "lat": "49.25795660", "lng": "7.04577417", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03502.pdf"]}, {"id": "eb027969f9310e0ae941e2adee2d42cdf07d938c", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"]}, {"id": "9989ad33b64accea8042e386ff3f1216386ba7f1", "title": "Facial feature extraction method based on shallow and deep fusion CNN", "addresses": [{"address": "Guilin University of Electronic Technology Guangxi Guilin", "lat": "25.28739920", "lng": "110.33242770", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "809ea255d144cff780300440d0f22c96e98abd53", "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07698.pdf"]}, {"id": "38d8ff137ff753f04689e6b76119a44588e143f3", "title": "When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition", "addresses": [{"address": "University of Houston", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06532.pdf"]}, {"id": "fb1627ed224bf7b1e3d80c097316ed7703951df2", "title": "Deep transfer network for face recognition using 3D synthesized face", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "85860d38c66a5cf2e6ffd6475a3a2ba096ea2920", "title": "Celeb-500K: A Large Training Dataset for Face Recognition", "addresses": [{"address": "Zhejiang University", "lat": "30.19331415", "lng": "120.11930822", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "7a65fc9e78eff3ab6062707deaadde024d2fad40", "title": "A Study on Apparent Age Estimation", "addresses": [{"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf"]}, {"id": "dc1105c7171a0922bfde7612aa069231720ee694", "title": "Face image retrieval based on shape and texture feature fusion", "addresses": [{"address": "Nanjing University", "lat": "32.05659570", "lng": "118.77408833", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "633101e794d7b80f55f466fd2941ea24595e10e6", "title": "Face Attribute Prediction with classification CNN", "addresses": [{"address": "KTH Royal Institute of Technology, Stockholm", "lat": "59.34986645", "lng": "18.07063213", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6331/01e794d7b80f55f466fd2941ea24595e10e6.pdf"]}, {"id": "80d42f74ee9bf03f3790c8d0f5a307deffe0b3b7", "title": "Learning Kernel Extended Dictionary for Face Recognition", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "4317856a1458baa427dc00e8ea505d2fc5f118ab", "title": "Regularizing face verification nets for pain intensity regression", "addresses": [{"address": "Johns Hopkins University", "lat": "39.32905300", "lng": "-76.61942500", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "7fcd03407c084023606c901e8933746b80d2ad57", "title": "Local classifier chains for deep face recognition", "addresses": [{"address": "University of Houston", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "92be73dffd3320fe7734258961fe5a5f2a43390e", "title": "Transferring Face Verification Nets To Pain and Expression Regression", "addresses": [{"address": "6", "lat": "37.09024000", "lng": "-95.71289100", "type": "edu"}, {"address": "Johns Hopkins University", "lat": "39.32905300", "lng": "-76.61942500", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}, {"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92be/73dffd3320fe7734258961fe5a5f2a43390e.pdf"]}, {"id": "561ae67de137e75e9642ab3512d3749b34484310", "title": "DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning.", "addresses": [{"address": "Tel Aviv University", "lat": "32.11198890", "lng": "34.80459702", "type": "edu"}, {"address": "Rheinische-Friedrich-Wilhelms University", "lat": "50.73381240", "lng": "7.10224650", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07637.pdf"]}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"address": "University of Florence", "lat": "43.77764260", "lng": "11.25976500", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "c10b0a6ba98aa95d740a0d60e150ffd77c7895ad", "title": "Deep fisher faces", "addresses": [{"address": "RWTH Aachen University", "lat": "50.77917030", "lng": "6.06728733", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c10b/0a6ba98aa95d740a0d60e150ffd77c7895ad.pdf"]}, {"id": "cbb27980eb04f68d9f10067d3d3c114efa9d0054", "title": "An Attention Model for Group-Level Emotion Recognition", "addresses": [{"address": "Indian Institute of Technology Delhi", "lat": "28.54632595", "lng": "77.27325504", "type": "edu"}, {"address": "India", "lat": "20.59368400", "lng": "78.96288000", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03380.pdf"]}, {"id": "8bf243817112ac0aa1348b40a065bb0b735cdb9c", "title": "Learning a Repression Network for Precise Vehicle Search", "addresses": [{"address": "Peking University", "lat": "39.99223790", "lng": "116.30393816", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02386.pdf"]}, {"id": "30180f66d5b4b7c0367e4b43e2b55367b72d6d2a", "title": "Template Adaptation for Face Verification and Identification", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.03958.pdf"]}, {"id": "55fdff2881d43050a8c51c7fdc094dbfbbe6fa46", "title": "Transferring deep representation for NIR-VIS heterogeneous face recognition", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "6d07e176c754ac42773690d4b4919a39df85d7ec", "title": "Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks", "addresses": [{"address": "KTH Royal Institute of Technology, Stockholm", "lat": "59.34986645", "lng": "18.07063213", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d07/e176c754ac42773690d4b4919a39df85d7ec.pdf"]}, {"id": "fd9feb21b3d1fab470ff82e3f03efce6a0e67a1f", "title": "Deep Verification Learning", "addresses": [{"address": "University of Twente", "lat": "52.23801390", "lng": "6.85667610", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/fd9f/eb21b3d1fab470ff82e3f03efce6a0e67a1f.pdf"]}, {"id": "1e6ed6ca8209340573a5e907a6e2e546a3bf2d28", "title": "Pooling Faces: Template Based Face Recognition with Pooled Face Images", "addresses": [{"address": "Open University of Israel", "lat": "32.77824165", "lng": "34.99565673", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.01450.pdf"]}, {"id": "8e0ab1b08964393e4f9f42ca037220fe98aad7ac", "title": "UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04695.pdf"]}, {"id": "68c4a1d438ea1c6dfba92e3aee08d48f8e7f7090", "title": "AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Liu_AgeNet_Deeply_Learned_ICCV_2015_paper.pdf"]}, {"id": "76669f166ddd3fb830dbaacb3daa875cfedc24d9", "title": "Learning face recognition from limited training data using deep neural networks", "addresses": [{"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}, {"address": "IBM Thomas J. Watson Research Center", "lat": "41.21002475", "lng": "-73.80407056", "type": "company"}], "year": "2016", "pdf": []}, {"id": "946017d5f11aa582854ac4c0e0f1b18b06127ef1", "title": "Tracking Persons-of-Interest via Adaptive Discriminative Features", "addresses": [{"address": "Hanyang University", "lat": "37.55572710", "lng": "127.04366420", "type": "edu"}, {"address": "University of Illinois, Urbana-Champaign", "lat": "40.11116745", "lng": "-88.22587665", "type": "edu"}, {"address": "University of California, Merced", "lat": "37.36566745", "lng": "-120.42158888", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9460/17d5f11aa582854ac4c0e0f1b18b06127ef1.pdf"]}, {"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "addresses": [{"address": "Microsoft", "lat": "36.06303740", "lng": "-95.88099660", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"]}, {"id": "24e82eaf3257e761d6ca0ffcc2cbca30dfca82e9", "title": "An analysis of the robustness of deep face recognition networks to noisy training labels", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "a961f1234e963a7945fed70197015678149b37d8", "title": "Facial Expression Synthesis by U-Net Conditional Generative Adversarial Networks", "addresses": [{"address": "Beihang University", "lat": "39.98083330", "lng": "116.34101249", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "11a47a91471f40af5cf00449954474fd6e9f7694", "title": "NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification", "addresses": [{"address": "Southwest University", "lat": "29.82366295", "lng": "106.42050016", "type": "edu"}], "year": "2016", "pdf": ["http://www.mdpi.com/2078-2489/7/4/61/pdf"]}, {"id": "ef2bb8bd93fa8b44414565b32735334fa6823b56", "title": "An accurate and efficient face recognition method based on hash coding", "addresses": [{"address": "Guilin University of Electronic Technology Guangxi Guilin", "lat": "25.28739920", "lng": "110.33242770", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "23dd8d17ce09c22d367e4d62c1ccf507bcbc64da", "title": "Deep Density Clustering of Unconstrained Faces ( Supplementary Material )", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/23dd/8d17ce09c22d367e4d62c1ccf507bcbc64da.pdf"]}, {"id": "6412d8bbcc01f595a2982d6141e4b93e7e982d0f", "title": "Deep Convolutional Neural Network Using Triplets of Faces, Deep Ensemble, and Score-Level Fusion for Face Recognition", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Kang_Deep_Convolutional_Neural_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/PaperID56_CVPRW_BNKANG_Oral.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/PaperID56_CVPRW_BNKANG_Poster.pdf"]}, {"id": "3dfb822e16328e0f98a47209d7ecd242e4211f82", "title": "Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08197.pdf"]}, {"id": "64b9ad39d115f3e375bde4f70fb8fdef5d681df8", "title": "Bootstrapping Joint Bayesian model for robust face verification", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "c75e6ce54caf17b2780b4b53f8d29086b391e839", "title": "ExpNet: Landmark-Free, Deep, 3D Facial Expressions", "addresses": [{"address": "Open University of Israel", "lat": "32.77824165", "lng": "34.99565673", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00542.pdf"]}, {"id": "66dcd855a6772d2731b45cfdd75f084327b055c2", "title": "Quality Classified Image Analysis with Application to Face Detection and Recognition", "addresses": [{"address": "Shenzhen University", "lat": "22.53521465", "lng": "113.93159110", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06445.pdf"]}, {"id": "e00d4e4ba25fff3583b180db078ef962bf7d6824", "title": "Face Verification with MultiTask and Multi-Scale Features Fusion", "addresses": [{"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e00d/4e4ba25fff3583b180db078ef962bf7d6824.pdf"]}, {"id": "831d661d657d97a07894da8639a048c430c5536d", "title": "Weakly Supervised Facial Analysis with Dense Hyper-Column Features", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Zhu_Weakly_Supervised_Facial_CVPR_2016_paper.pdf"]}, {"id": "5865b6d83ba6dbbf9167f1481e9339c2ef1d1f6b", "title": "Regularized metric adaptation for unconstrained face verification", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "e9c008d31da38d9eef67a28d2c77cb7daec941fb", "title": "Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03769.pdf"]}, {"id": "c675534be881e59a78a5986b8fb4e649ddd2abbe", "title": "Face recognition by landmark pooling-based CNN with concentrate loss", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "ea03a569272d329090fe60d6bff8d119e18057d7", "title": "Fisher vector encoded deep convolutional features for unconstrained face verification", "addresses": [{"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}, {"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/ICIP_FVDCNN_2016_camera_ready_final.pdf"]}, {"id": "a73405038fdc0d8bf986539ef755a80ebd341e97", "title": "Conditional High-Order Boltzmann Machines for Supervised Relation Learning", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "5180df9d5eb26283fb737f491623395304d57497", "title": "Scalable Angular Discriminative Deep Metric Learning for Face Recognition", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}, {"address": "Tianjin University", "lat": "36.20304395", "lng": "117.05842113", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10899.pdf"]}, {"id": "0dd74bbda5dd3d9305636d4b6f0dad85d6e19572", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"]}, {"id": "3ac3a714042d3ebc159546c26321a1f8f4f5f80c", "title": "Clustering lightened deep representation for large scale face identification", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "282503fa0285240ef42b5b4c74ae0590fe169211", "title": "Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks", "addresses": [{"address": "Seoul National University", "lat": "37.26728000", "lng": "126.98411510", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07848.pdf"]}, {"id": "29db046dd1f8100b279c3f5f5c5ef19bdbf5af9a", "title": "Recent Progress of Face Image Synthesis", "addresses": [{"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04717.pdf"]}, {"id": "4f7b92bd678772552b3c3edfc9a7c5c4a8c60a8e", "title": "Deep Density Clustering of Unconstrained Faces", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/4f7b/92bd678772552b3c3edfc9a7c5c4a8c60a8e.pdf"]}, {"id": "9f65319b8a33c8ec11da2f034731d928bf92e29d", "title": "TAKING ROLL : A PIPELINE FOR FACE RECOGNITION", "addresses": [{"address": "Louisiana State University", "lat": "30.40550035", "lng": "-91.18620474", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf"]}, {"id": "d3d5d86afec84c0713ec868cf5ed41661fc96edc", "title": "A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition", "addresses": [{"address": "Sabanci University", "lat": "40.89271590", "lng": "29.37863323", "type": "edu"}, {"address": "Istanbul Technical University", "lat": "41.10427915", "lng": "29.02231159", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02894.pdf"]}, {"id": "3d78c144672c4ee76d92d21dad012bdf3c3aa1a0", "title": "Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks", "addresses": [{"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}, {"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/IJCV_20170517_v4.pdf"]}, {"id": "b910590a0eb191d03e1aedb3d55c905129e92e6b", "title": "Robust gender classification on unconstrained face images", "addresses": [{"address": "Anhui University", "lat": "31.76909325", "lng": "117.17795091", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2015", "pdf": []}, {"id": "b8bcf9c773da1c5ee76db4bf750c9ff5d159f1a0", "title": "Homemade TS-Net for Automatic Face Recognition", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "9865fe20df8fe11717d92b5ea63469f59cf1635a", "title": "Wildest Faces: Face Detection and Recognition in Violent Settings", "addresses": [{"address": "Hacettepe University", "lat": "39.86742125", "lng": "32.73519072", "type": "edu"}, {"address": "Middle East Technical University", "lat": "39.87549675", "lng": "32.78553506", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07566.pdf"]}, {"id": "69adbfa7b0b886caac15ebe53b89adce390598a3", "title": "Face hallucination using cascaded super-resolution and identity priors", "addresses": [{"address": "University of Ljubljana", "lat": "46.05015580", "lng": "14.46907327", "type": "edu"}, {"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10938.pdf"]}, {"id": "feea73095b1be0cbae1ad7af8ba2c4fb6f316d35", "title": "Deep Face Recognition with Center Invariant Loss", "addresses": [{"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "3f0c51989c516a7c5dee7dec4d7fb474ae6c28d9", "title": "Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding", "addresses": [{"address": "Duke University", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06638.pdf"]}, {"id": "1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "title": "Face Search at Scale", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/WangOttoJain_FaceSearchAtScale_TPAMI.pdf"]}, {"id": "4801256b4ee39e71d5a9a1046c57e3ad4af6735a", "title": "Cascade Attention Networks For Group Emotion Recognition with Face, Body and Image Cues", "addresses": [{"address": "Nanyang Technological University", "lat": "1.34841040", "lng": "103.68297965", "type": "edu"}, {"address": "National Taiwan University", "lat": "25.01682835", "lng": "121.53846924", "type": "edu"}, {"address": "Shenzhen Institutes of Advanced Technology", "lat": "22.59805605", "lng": "113.98533784", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "91a4ebf1ca0314a74c436729700ef09bddaa6222", "title": "Detailed Human Avatars from Monocular Video", "addresses": [{"address": "Max Planck Institute for Informatics", "lat": "49.25795660", "lng": "7.04577417", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01338.pdf"]}, {"id": "1da5fc63d66fbf750b0e15c5ef6d4274ca73cca1", "title": "Research on face recognition method based on deep learning in natural environment", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "0081e2188c8f34fcea3e23c49fb3e17883b33551", "title": "Training Deep Face Recognition Systems with Synthetic Data", "addresses": [{"address": "University of Basel", "lat": "47.56126510", "lng": "7.57529610", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05891.pdf"]}, {"id": "406c5aeca71011fd8f8bd233744a81b53ccf635a", "title": "Scalable softmax loss for face verification", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "15f70a0ad8903017250927595ae2096d8b263090", "title": "Learning Robust Deep Face Representation", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.04844.pdf"]}, {"id": "57ba4b6de23a6fc9d45ff052ed2563e5de00b968", "title": "An efficient deep neural networks training framework for robust face recognition", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}, {"address": "Xiamen University", "lat": "24.43994190", "lng": "118.09301781", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "43fe03ec1acb6ea9d05d2b22eeddb2631bd30437", "title": "Weakly supervised multiscale-inception learning for web-scale face recognition", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "0be418e63d111e3b94813875f75909e4dc27d13a", "title": "Fine-grained LFW database", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}, {"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"]}, {"id": "450c6a57f19f5aa45626bb08d7d5d6acdb863b4b", "title": "Towards Interpretable Face Recognition", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00611.pdf"]}, {"id": "93d11da02205bbc5ae68e521e421f70a4b74a7f7", "title": "Emotion recognition and reaction prediction in videos", "addresses": [{"address": "India", "lat": "20.59368400", "lng": "78.96288000", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "cb9921d5fc4ffa50be537332e111f03d74622442", "title": "Face Occlusion Detection Using Cascaded Convolutional Neural Network", "addresses": [{"address": "Zhejiang University of Technology", "lat": "30.29315340", "lng": "120.16204580", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "dfaa547451aae219cd2ca7a761e6c16c1e1d0add", "title": "Representation Learning by Rotating Your Faces", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.11136.pdf"]}, {"id": "291de30ceecb5dcf0644c35e2b5935d341ea148b", "title": "Explainable Black-Box Attacks Against Model-based Authentication", "addresses": [{"address": "University of Florida", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.00024.pdf"]}, {"id": "3f540faf85e1f8de6ce04fb37e556700b67e4ad3", "title": "Face Verification with Multi-Task and Multi-Scale Feature Fusion", "addresses": [{"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f54/0faf85e1f8de6ce04fb37e556700b67e4ad3.pdf"]}, {"id": "8334da483f1986aea87b62028672836cb3dc6205", "title": "Fully Associative Patch-Based 1-to-N Matcher for Face Recognition", "addresses": [{"address": "University of Houston", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06306.pdf"]}, {"id": "0019925779bff96448f0c75492717e4473f88377", "title": "Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w3/papers/Reale_Deep_Heterogeneous_Face_CVPR_2017_paper.pdf"]}, {"id": "5905b4610389cd3b11a3a1ce06c05fee36a97f86", "title": "Unconstrained Face Recognition Using a Set-to-Set Distance Measure on Deep Learned Features", "addresses": [{"address": "Northumbria University", "lat": "55.00306320", "lng": "-1.57463231", "type": "edu"}, {"address": "University of East Anglia", "lat": "52.62215710", "lng": "1.24091360", "type": "edu"}, {"address": "Lancaster University", "lat": "54.00975365", "lng": "-2.78757491", "type": "edu"}], "year": "2018", "pdf": ["http://eprints.lancs.ac.uk/87886/4/07936556.pdf"]}, {"id": "05455f5e3c3989be4991cb74b73cdfd0d6522622", "title": "Learning Warped Guidance for Blind Face Restoration", "addresses": [{"address": "Harbin Institute of Technology", "lat": "45.74139210", "lng": "126.62552755", "type": "edu"}, {"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}, {"address": "University of Kentucky", "lat": "38.03337420", "lng": "-84.50177580", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04829.pdf"]}, {"id": "54bb25a213944b08298e4e2de54f2ddea890954a", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "Middlesex University", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu"}], "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"]}, {"id": "81884e1de00e59f24bc20254584d73a1a1806933", "title": "Super-Identity Convolutional Neural Network for Face Hallucination", "addresses": [{"address": "National Taiwan University", "lat": "25.01682835", "lng": "121.53846924", "type": "edu"}, {"address": "SenseTime", "lat": "39.99300800", "lng": "116.32988200", "type": "company"}, {"address": "University of Texas at Austin", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02328.pdf"]}, {"id": "405526dfc79de98f5bf3c97bf4aa9a287700f15d", "title": "MegaFace: A Million Faces for Recognition at Scale", "addresses": [{"address": "University of Washington", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.02108.pdf"]}, {"id": "48121f5937accc8050b0c9bf2be6d1c58b07a8a0", "title": "Multi-pose face recognition by dynamic loss weights", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "582edc19f2b1ab2ac6883426f147196c8306685a", "title": "Do We Really Need to Collect Millions of Faces for Effective Face Recognition?", "addresses": [{"address": "Open University of Israel", "lat": "32.77824165", "lng": "34.99565673", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07057.pdf"]}, {"id": "076d3fc800d882445c11b9af466c3af7d2afc64f", "title": "Face attribute classification using attribute-aware correlation map and gated convolutional neural networks", "addresses": [{"address": "Korea Advanced Institute of Science and Technology", "lat": "36.36971910", "lng": "127.36253700", "type": "edu"}], "year": "2015", "pdf": ["http://slsp.kaist.ac.kr/paperdata/Face_attribute_classification.pdf"]}, {"id": "e1256ff535bf4c024dd62faeb2418d48674ddfa2", "title": "Towards Open-Set Identity Preserving Face Synthesis", "addresses": [{"address": "University of Science and Technology of China", "lat": "31.83907195", "lng": "117.26420748", "type": "edu"}, {"address": "Microsoft", "lat": "36.06303740", "lng": "-95.88099660", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11182.pdf"]}, {"id": "77c5437107f8138d48cb7e10b2b286fa51473678", "title": "A pseudo ensemble convolutional neural networks", "addresses": [{"address": "Electronics and Telecommunications Research Institute, Daejeon, Korea", "lat": "36.38376500", "lng": "127.36694000", "type": "edu"}, {"address": "University of Science and Technology, Korea", "lat": "36.38513950", "lng": "127.36834130", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "6afe1f668eea8dfdd43f0780634073ed4545af23", "title": "Deep learning for content-based video retrieval in film and television production", "addresses": [{"address": "German National Library of Science and Technology (TIB), Hannover, Germany", "lat": "52.38151500", "lng": "9.72017100", "type": "edu"}, {"address": "taglicht media Film- & Fernsehproduktion GmbH, K\u00f6ln, Germany", "lat": "50.90750920", "lng": "6.96616590", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "93eb3963bc20e28af26c53ef3bce1e76b15e3209", "title": "Occlusion robust face recognition based on mask learning", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "16b9d258547f1eccdb32111c9f45e2e4bbee79af", "title": "NormFace: L2 Hypersphere Embedding for Face Verification", "addresses": [{"address": "University of Electronic Science and Technology of China", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06369.pdf"]}, {"id": "7e2cfbfd43045fbd6aabd9a45090a5716fc4e179", "title": "Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate", "addresses": [{"address": "Beijing Jiaotong University", "lat": "39.94976005", "lng": "116.33629046", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00435.pdf"]}, {"id": "0c0db39cac8cb76b52cfdbe10bde1c53d68d202f", "title": "Metric-based Generative Adversarial Network", "addresses": [{"address": "UAE", "lat": "23.42407600", "lng": "53.84781800", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "dd65f71dac86e36eecbd3ed225d016c3336b4a13", "title": "Visual Kinship Recognition of Families in the Wild", "addresses": [{"address": "University of Massachusetts Dartmouth", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu"}, {"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}], "year": "2018", "pdf": ["https://web.northeastern.edu/smilelab/fiw/papers/Supplemental_PP.pdf", "https://web.northeastern.edu/smilelab/fiw/papers/tpami-final.pdf"]}, {"id": "c2508af974b8b1fd4ef097ef625e8bfd07474be0", "title": "Correlation-Based Face Detection for Recognizing Faces in Videos", "addresses": [{"address": "Stanford University", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu"}, {"address": "National Chiao Tung University", "lat": "24.78676765", "lng": "120.99724412", "type": "edu"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0003101.pdf"]}, {"id": "99facca6fc50cc30f13b7b6dd49ace24bc94f702", "title": "VIPLFaceNet: an open source deep face recognition SDK", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03892.pdf"]}, {"id": "d40c4e370d35264e324e4e3d5df59e51518c9979", "title": "A Transfer Learning based Feature-Weak-Relevant Method for Image Clustering", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04068.pdf"]}, {"id": "11ad162b3165b4353df8d7b4153fb26d6a310d11", "title": "Recognizing Families In the Wild (RFIW): Data Challenge Workshop in conjunction with ACM MM 2017", "addresses": [{"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}, {"address": "University of Massachusetts Dartmouth", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "486a82f50835ea888fbc5c6babf3cf8e8b9807bc", "title": "Face Search at Scale: 80 Million Gallery", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.07242.pdf"]}, {"id": "2a48dc596c7a2f496169360e819b56a6c8d38e67", "title": "Fine Tuning Dual Streams Deep Network with Multi-scale Pyramid Decision for Heterogeneous Face Recognition", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "b50edfea790f86373407a964b4255bf8e436d377", "title": "Group emotion recognition with individual facial emotion CNNs and global image based CNNs", "addresses": [{"address": "National Taiwan University", "lat": "25.01682835", "lng": "121.53846924", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "c17c7b201cfd0bcd75441afeaa734544c6ca3416", "title": "Layerwise Class-Aware Convolutional Neural Network", "addresses": [{"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}, {"address": "Southeast University", "lat": "32.05752790", "lng": "118.78682252", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "585260468d023ffc95f0e539c3fa87254c28510b", "title": "Cardea: Context-Aware Visual Privacy Protection from Pervasive Cameras", "addresses": [{"address": "Hong Kong University of Science and Technology", "lat": "22.33863040", "lng": "114.26203370", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00889.pdf"]}, {"id": "3b9b200e76a35178da940279d566bbb7dfebb787", "title": "Learning Channel Inter-dependencies at Multiple Scales on Dense Networks for Face Recognition", "addresses": [{"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10103.pdf"]}, {"id": "8bfada57140aa1aa22a575e960c2a71140083293", "title": "Can we match Ultraviolet Face Images against their Visible Counterparts ?", "addresses": [{"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8bfa/da57140aa1aa22a575e960c2a71140083293.pdf"]}, {"id": "72a7eb68f0955564e1ceafa75aeeb6b5bbb14e7e", "title": "Face Recognition with Contrastive Convolution", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/72a7/eb68f0955564e1ceafa75aeeb6b5bbb14e7e.pdf"]}, {"id": "44b827df6c433ca49bcf44f9f3ebfdc0774ee952", "title": "Deep Correlation Feature Learning for Face Verification in the Wild", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "58d76380d194248b3bb291b8c7c5137a0a376897", "title": "FaceID-GAN : Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}, {"address": "Shenzhen Institutes of Advanced Technology", "lat": "22.59805605", "lng": "113.98533784", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/58d7/6380d194248b3bb291b8c7c5137a0a376897.pdf"]}, {"id": "b6f758be954d34817d4ebaa22b30c63a4b8ddb35", "title": "A Proximity-Aware Hierarchical Clustering of Faces", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04835.pdf"]}, {"id": "511a8cdf2127ef8aa07cbdf9660fe9e0e2dfbde7", "title": "A Community Detection Approach to Cleaning Extremely Large Face Database", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}, {"address": "National University of Defense Technology, China", "lat": "28.22902090", "lng": "112.99483204", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/511a/8cdf2127ef8aa07cbdf9660fe9e0e2dfbde7.pdf"]}, {"id": "cdef0eaff4a3c168290d238999fc066ebc3a93e8", "title": "Contrastive-center loss for deep neural networks", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.07391.pdf"]}, {"id": "1e62ca5845a6f0492574a5da049e9b43dbeadb1b", "title": "Cross-Modality Face Recognition via Heterogeneous Joint Bayesian", "addresses": [{"address": "Alibaba Group, Hangzhou, China", "lat": "30.28106540", "lng": "120.02139087", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "addresses": [{"address": "University of Washington", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1512.00596.pdf"]}, {"id": "ddf099f0e0631da4a6396a17829160301796151c", "title": "Chen et al . Face Quality Value : Input : Feat -\u2010 5 Features : L 2 R + PKM Model : Feat -\u2010", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ddf0/99f0e0631da4a6396a17829160301796151c.pdf"]}, {"id": "40883844c1ceab95cb92498a92bfdf45beaa288e", "title": "Improving Heterogeneous Face Recognition with Conditional Adversarial Networks", "addresses": [{"address": "Stony Brook University", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.02848.pdf"]}, {"id": "8ec82da82416bb8da8cdf2140c740e1574eaf84f", "title": "Lip Reading in Profile", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}, {"address": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8ec8/2da82416bb8da8cdf2140c740e1574eaf84f.pdf"]}, {"id": "61efeb64e8431cfbafa4b02eb76bf0c58e61a0fa", "title": "Merging datasets through deep learning", "addresses": [{"address": "IBM Research, North Carolina", "lat": "35.90422720", "lng": "-78.85565763", "type": "company"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.01604.pdf"]}, {"id": "a8748a79e8d37e395354ba7a8b3038468cb37e1f", "title": "Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w9/papers/Reale_Seeing_the_Forest_CVPR_2016_paper.pdf"]}, {"id": "628a3f027b7646f398c68a680add48c7969ab1d9", "title": "Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition", "addresses": [{"address": "Facebook", "lat": "37.39367170", "lng": "-122.08072620", "type": "company"}, {"address": "k", "lat": "37.09024000", "lng": "-95.71289100", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf"]}, {"id": "052f994898c79529955917f3dfc5181586282cf8", "title": "Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos", "addresses": [{"address": "Dalian University of Technology", "lat": "38.88140235", "lng": "121.52281098", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02191.pdf"]}, {"id": "a3d8b5622c4b9af1f753aade57e4774730787a00", "title": "Pose-Aware Person Recognition", "addresses": [{"address": "India", "lat": "20.59368400", "lng": "78.96288000", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10120.pdf"]}, {"id": "d35534f3f59631951011539da2fe83f2844ca245", "title": "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks", "addresses": [{"address": "University of California, San Diego", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu"}, {"address": "Stanford University", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.07904.pdf"]}, {"id": "6880013eb0b91a2b334e0be0dced0a1a79943469", "title": "Discrimination-aware Channel Pruning for Deep Neural Networks", "addresses": [{"address": "South China University of Technology", "lat": "23.05020420", "lng": "113.39880323", "type": "edu"}, {"address": "University of Texas at Arlington", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11809.pdf"]}, {"id": "9fb93b7c2bae866608f26c4254e5bd69cc5031d6", "title": "Fast Geometrically-Perturbed Adversarial Faces", "addresses": [{"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08999.pdf"]}, {"id": "459e840ec58ef5ffcee60f49a94424eb503e8982", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "addresses": [{"address": "Microsoft", "lat": "36.06303740", "lng": "-95.88099660", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"]}, {"id": "92de9a54515f4ac8cc8e4e6b0dfab20e5e6bb09d", "title": "Quality scores for deep regression systems", "addresses": [{"address": "FDNA Israel", "lat": "32.16388240", "lng": "34.81158620", "type": "company"}], "year": "2016", "pdf": []}, {"id": "2d748f8ee023a5b1fbd50294d176981ded4ad4ee", "title": "Triplet Similarity Embedding for Face Verification", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03418.pdf"]}, {"id": "f3495bf7f7d827c72cc4e7a4850eaf54a998db11", "title": "Trends and Controversies", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "Istanbul Technical University", "lat": "41.10427915", "lng": "29.02231159", "type": "edu"}, {"address": "Maastricht University", "lat": "50.83367120", "lng": "5.71589000", "type": "edu"}, {"address": "SensoMotoric Instruments", "lat": "42.36329100", "lng": "-71.05010180", "type": "company"}, {"address": "Universidad Autonoma de Madrid", "lat": "40.48256135", "lng": "-3.69060790", "type": "edu"}, {"address": "University of Beira Interior", "lat": "40.27730770", "lng": "-7.50958010", "type": "edu"}, {"address": "University of Ljubljana", "lat": "46.05015580", "lng": "14.46907327", "type": "edu"}, {"address": "University of Naples Federico II", "lat": "40.84549200", "lng": "14.25780580", "type": "edu"}, {"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}, {"address": "University of Southampton", "lat": "50.89273635", "lng": "-1.39464295", "type": "edu"}, {"address": "Universit\u00e0 di Salerno Italy", "lat": "40.76469490", "lng": "14.78891510", "type": "edu"}, {"address": "Warsaw University of Technology", "lat": "52.22165395", "lng": "21.00735776", "type": "edu"}], "year": "2018", "pdf": ["http://www.di.ubi.pt/~hugomcp/doc/mex201803.issue.pdf"]}, {"id": "5495e224ac7b45b9edc5cfeabbb754d8a40a879b", "title": "Feature Reconstruction Disentangling for Pose-invariant Face Recognition Supplementary Material", "addresses": [{"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5495/e224ac7b45b9edc5cfeabbb754d8a40a879b.pdf"]}, {"id": "cd55fb30737625e86454a2861302b96833ed549d", "title": "Annotating Unconstrained Face Imagery: A scalable approach", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}, {"address": "Noblis, Falls Church, VA, U.S.A.", "lat": "38.95187000", "lng": "-77.36325900", "type": "company"}], "year": "2015", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/TaborskyAllenBlantonJainKlare_UnconstrainedFaceAnnotation_ICB15.pdf"]}, {"id": "7ffef9f26c39377ee937d29b8990580266a7a8a5", "title": "Deep Metric Learning with Hierarchical Triplet Loss", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}, {"address": "University of Hong Kong", "lat": "22.20814690", "lng": "114.25964115", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06951.pdf"]}, {"id": "48320c6c156e7e25bfc04171b5ee6003de356a11", "title": "AF-Softmax for Face Recognition", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "571b83f7fc01163383e6ca6a9791aea79cafa7dd", "title": "SeqFace: Make full use of sequence information for face recognition", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06524.pdf"]}, {"id": "856bd32ee16cc531bcb1814fbae2f66582e21cc7", "title": "Face Verification via Learned Representation on Feature-Rich Video Frames", "addresses": [{"address": "Indraprastha Institute of Information Technology Delhi, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu"}], "year": "2017", "pdf": ["http://iab-rubric.org/papers/Goswami-VideoTIFS.pdf"]}, {"id": "26c89f890da91119ffa16d5a23fba963257ef3fc", "title": "Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00218.pdf"]}, {"id": "0d8cec1b3f9b6e25d9d31eeb54d8894a1f2ef84f", "title": "Deep Coupled ResNet for Low-Resolution Face Recognition", "addresses": [{"address": "Nanyang Technological University", "lat": "1.34841040", "lng": "103.68297965", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "862d17895fe822f7111e737cbcdd042ba04377e8", "title": "Semi-Latent GAN: Learning to generate and modify facial images from attributes", "addresses": [{"address": "Fudan University", "lat": "31.30104395", "lng": "121.50045497", "type": "edu"}, {"address": "Disney Research", "lat": "34.15797420", "lng": "-118.28947290", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02166.pdf"]}, {"id": "4b605e6a9362485bfe69950432fa1f896e7d19bf", "title": "A Comparison of Human and Automated Face Verification Accuracy on Unconstrained Image Sets", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2016", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/BlantonAllenMillerKalkaJain_CVPRWB2016_HID.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Blanton_A_Comparison_of_CVPR_2016_paper.pdf"]}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"]}, {"id": "14d72dc9f78d65534c68c3ed57305f14bd4b5753", "title": "Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles", "addresses": [{"address": "Peking University", "lat": "39.99223790", "lng": "116.30393816", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Yan_Exploiting_Multi-Grain_Ranking_ICCV_2017_paper.pdf"]}, {"id": "0ad8149318912b5449085187eb3521786a37bc78", "title": "CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval", "addresses": [{"address": "University of Caen", "lat": "35.02749960", "lng": "135.78154513", "type": "edu"}, {"address": "India", "lat": "20.59368400", "lng": "78.96288000", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02975.pdf"]}, {"id": "47190d213caef85e8b9dd0d271dbadc29ed0a953", "title": "The Devil of Face Recognition is in the Noise", "addresses": [{"address": "University of California, San Diego", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu"}, {"address": "Nanyang Technological University", "lat": "1.34841040", "lng": "103.68297965", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11649.pdf"]}, {"id": "c5e37630d0672e4d44f7dee83ac2c1528be41c2e", "title": "Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "addresses": [{"address": "Fudan University", "lat": "31.30104395", "lng": "121.50045497", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "3661a34f302883c759b9fa2ce03de0c7173d2bb2", "title": "Peak-Piloted Deep Network for Facial Expression Recognition", "addresses": [{"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06997.pdf"]}, {"id": "2594a77a3f0dd5073f79ba620e2f287804cec630", "title": "Regularizing Face Verification Nets For Pain Intensity Regression", "addresses": [{"address": "6", "lat": "37.09024000", "lng": "-95.71289100", "type": "edu"}, {"address": "Johns Hopkins University", "lat": "39.32905300", "lng": "-76.61942500", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}, {"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06925.pdf"]}, {"id": "987a649cb33302c41412419f8eeb77048aa5513e", "title": "Visual Psychophysics for Making Face Recognition Algorithms More Explainable", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}, {"address": "Harvard University", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07140.pdf"]}, {"id": "70569810e46f476515fce80a602a210f8d9a2b95", "title": "Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models", "addresses": [{"address": "EURECOM", "lat": "43.61438600", "lng": "7.07112500", "type": "edu"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Antipov_Apparent_Age_Estimation_CVPR_2016_paper.pdf", "http://www.eurecom.fr/en/publication/4908/download/sec-publi-4908.pdf"]}, {"id": "93af36da08bf99e68c9b0d36e141ed8154455ac2", "title": "A Dditive M Argin S Oftmax for F Ace V Erification", "addresses": [{"address": "University of Electronic Science and Technology of China", "lat": "40.01419050", "lng": "-83.03091430", "type": "edu"}, {"address": "Georgia Institute of Technology", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf"]}, {"id": "5a259f2f5337435f841d39dada832ab24e7b3325", "title": "Face Recognition via Active Annotation and Learning", "addresses": [{"address": "Fudan University", "lat": "31.30104395", "lng": "121.50045497", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "100105d6c97b23059f7aa70589ead2f61969fbc3", "title": "Frontal to profile face verification in the wild", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/WACV2016_CFP.pdf"]}, {"id": "eed93d2e16b55142b3260d268c9e72099c53d5bc", "title": "ICFVR 2017: 3rd international competition on finger vein recognition", "addresses": [{"address": "Peking University", "lat": "39.99223790", "lng": "116.30393816", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1801.01262.pdf"]}, {"id": "eb8519cec0d7a781923f68fdca0891713cb81163", "title": "Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", "addresses": [{"address": "Concordia University", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08617.pdf"]}, {"id": "8d955b025495522e67e8cb6e29436001ebbd0abb", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "addresses": [{"address": "Sichuan University, Chengdu", "lat": "30.64276900", "lng": "104.06751175", "type": "edu"}, {"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11366.pdf"]}, {"id": "c92e36689ef561df726a7ae861d9c166c3934908", "title": "Face hallucination by deep traversal network", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "2296d79753118cfcd0fecefece301557f4cb66e2", "title": "Exploring Disentangled Feature Representation Beyond Face Identification", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}, {"address": "SenseTime", "lat": "39.99300800", "lng": "116.32988200", "type": "company"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03487.pdf"]}, {"id": "02820c1491b10a1ff486fed32c269e4077c36551", "title": "Active user authentication for smartphones: A challenge data set and benchmark results", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.07930.pdf"]}, {"id": "486c9a0e5eb1e0bf107c31c2bf9689b25e18383b", "title": "Face Recognition: Primates in the Wild", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08790.pdf"]}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"address": "University of Colorado, Colorado Springs", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02337.pdf"]}, {"id": "61f93ed515b3bfac822deed348d9e21d5dffe373", "title": "Deep Image Set Hashing", "addresses": [{"address": "Columbia University", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.05381.pdf"]}, {"id": "fffefc1fb840da63e17428fd5de6e79feb726894", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"]}, {"id": "19458454308a9f56b7de76bf7d8ff8eaa52b0173", "title": "Deep Features for Recognizing Disguised Faces in the Wild", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1945/8454308a9f56b7de76bf7d8ff8eaa52b0173.pdf"]}, {"id": "7fb7ccc1aa093ca526f2d8b6f2c404d2c886f69a", "title": "A multi-view face database from Turkish TV series", "addresses": [{"address": "Istanbul Technical University", "lat": "41.10427915", "lng": "29.02231159", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "26973cf1552250f402c82e9a4445f03fe6757b58", "title": "Surveillance Video Quality Assessment Based on Face Recognition", "addresses": [{"address": "Peking University", "lat": "39.99223790", "lng": "116.30393816", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "ef559d5f02e43534168fbec86707915a70cd73a0", "title": "DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef55/9d5f02e43534168fbec86707915a70cd73a0.pdf"]}, {"id": "dd471f321ead8b405da6194057b2778ef3db7ea7", "title": "Multi-Task Adversarial Network for Disentangled Feature Learning", "addresses": [{"address": "University of Cambridge", "lat": "52.17638955", "lng": "0.14308882", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dd47/1f321ead8b405da6194057b2778ef3db7ea7.pdf"]}, {"id": "55266ddbe9d5366e8cd1b0b645971cad6d12157a", "title": "Face recognition classifier based on dimension reduction in deep learning properties", "addresses": [{"address": "Bili\u015fim Technology Instititute", "lat": "40.78612700", "lng": "29.44563290", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "7fb5006b6522436ece5bedf509e79bdb7b79c9a7", "title": "Multi-Task Convolutional Neural Network for Face Recognition", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7fb5/006b6522436ece5bedf509e79bdb7b79c9a7.pdf"]}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"]}, {"id": "4b48e912a17c79ac95d6a60afed8238c9ab9e553", "title": "Minimum Margin Loss for Deep Face Recognition", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06741.pdf"]}, {"id": "1ed49161e58559be399ce7092569c19ddd39ca0b", "title": "Transferring from face recognition to face attribute prediction through adaptive selection of off-the-shelf CNN representations", "addresses": [{"address": "KTH Royal Institute of Technology, Stockholm", "lat": "59.34986645", "lng": "18.07063213", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "82e66c4832386cafcec16b92ac88088ffd1a1bc9", "title": "OpenFace : A general-purpose face recognition library with mobile applications", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}, {"address": "Poznan University of Technology", "lat": "52.40048370", "lng": "16.95158083", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/82e6/6c4832386cafcec16b92ac88088ffd1a1bc9.pdf"]}, {"id": "6fbb179a4ad39790f4558dd32316b9f2818cd106", "title": "Input Aggregated Network for Face Video Representation", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}, {"address": "Stony Brook University", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06655.pdf"]}, {"id": "b4e889af57295dff9498ba476893a359a91b8a3e", "title": "Improving Speaker Turn Embedding by Crossmodal Transfer Learning from Face Embedding", "addresses": [{"address": "IDIAP Research Institute", "lat": "46.10923700", "lng": "7.08453549", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02749.pdf"]}, {"id": "5f448ab700528888019542e6fea1d1e0db6c35f2", "title": "Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization", "addresses": [{"address": "Huazhong University of Science and Technology", "lat": "30.50975370", "lng": "114.40628810", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "438c4b320b9a94a939af21061b4502f4a86960e3", "title": "Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition", "addresses": [{"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.03041.pdf"]}, {"id": "d7cbedbee06293e78661335c7dd9059c70143a28", "title": "MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "addresses": [{"address": "Beijing Jiaotong University", "lat": "39.94976005", "lng": "116.33629046", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07573.pdf"]}, {"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "addresses": [{"address": "India", "lat": "20.59368400", "lng": "78.96288000", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "1afef6b389bd727c566cd6fbcd99adefe4c0cf32", "title": "Towards resolution invariant face recognition in uncontrolled scenarios", "addresses": [{"address": "Sichuan University, Chengdu", "lat": "30.64276900", "lng": "104.06751175", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "a75dfb5a839f0eb4b613d150f54a418b7812aa90", "title": "Multibiometric secure system based on deep learning", "addresses": [{"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02314.pdf"]}, {"id": "23ecc496eaa238ac884e6bae5763f6138a9c90a3", "title": "Discriminative Feature Adaptation for cross-domain facial expression recognition", "addresses": [{"address": "Sichuan University, Chengdu", "lat": "30.64276900", "lng": "104.06751175", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"]}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"address": "University of Groningen", "lat": "53.21967825", "lng": "6.56251482", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"]}, {"id": "3c563542db664321aa77a9567c1601f425500f94", "title": "TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition", "addresses": [{"address": "University of Queensland", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.02514.pdf"]}, {"id": "772474b5b0c90629f4d9c223fd9c1ef45e1b1e66", "title": "Multi-dim: A multi-dimensional face database towards the application of 3D technology in real-world scenarios", "addresses": [{"address": "Sichuan University, Chengdu", "lat": "30.64276900", "lng": "104.06751175", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "4e7ed13e541b8ed868480375785005d33530e06d", "title": "Face recognition using deep multi-pose representations", "addresses": [{"address": "University of Southern California", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu"}, {"address": "Open University", "lat": "52.02453775", "lng": "-0.70927481", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07388.pdf"]}, {"id": "02467703b6e087799e04e321bea3a4c354c5487d", "title": "Grouper: Optimizing Crowdsourced Face Annotations", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2016", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/AdamsAllenMillerKalkaJain_CVPRWB2016_GRPR.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Adams_Grouper_Optimizing_Crowdsourced_CVPR_2016_paper.pdf"]}, {"id": "7224d58a7e1f02b84994b60dc3b84d9fe6941ff5", "title": "When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}, {"address": "Queen Mary University of London", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.02351.pdf"]}, {"id": "39f525f3a0475e6bbfbe781ae3a74aca5b401125", "title": "Deep Joint Face Hallucination and Recognition", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08091.pdf"]}, {"id": "a4bb791b135bdc721c8fcc5bdef612ca654d7377", "title": "Location-sensitive sparse representation of deep normal patterns for expression-robust 3D face recognition", "addresses": [{"address": "Xi'an Jiaotong University", "lat": "34.24749490", "lng": "108.97898751", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "d28d32af7ef9889ef9cb877345a90ea85e70f7f1", "title": "Local-Global Landmark Confidences for Face Recognition", "addresses": [{"address": "University of Southern California", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/10/2017_FG_Kim_Local.pdf"]}, {"id": "f1d6da83dcf71eda45a56a86c5ae13e7f45a8536", "title": "A Secure Face-Verification Scheme Based on Homomorphic Encryption and Deep Neural Networks", "addresses": [{"address": "Beijing University of Technology", "lat": "39.87391435", "lng": "116.47722285", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "68e6cfb0d7423d3fae579919046639c8e2d04ad7", "title": "Multi-task ConvNet for blind face inpainting with application to face verification", "addresses": [{"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "e9a5a38e7da3f0aa5d21499149536199f2e0e1f7", "title": "A Bayesian Scene-Prior-Based Deep Network Model for Face Verification", "addresses": [{"address": "Beihang University", "lat": "39.98083330", "lng": "116.34101249", "type": "edu"}, {"address": "Curtin University", "lat": "-32.00686365", "lng": "115.89691775", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e9a5/a38e7da3f0aa5d21499149536199f2e0e1f7.pdf"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"address": "Korea Advanced Institute of Science and Technology", "lat": "36.36971910", "lng": "127.36253700", "type": "edu"}, {"address": "Samsung SAIT, Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company"}], "year": "2018", "pdf": []}, {"id": "f5eb0cf9c57716618fab8e24e841f9536057a28a", "title": "Rethinking Feature Distribution for Loss Functions in Image Classification", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02988.pdf"]}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "4cfd770ccecae1c0b4248bc800d7fd35c817bbbd", "title": "A Discriminative Feature Learning Approach for Deep Face Recognition", "addresses": [{"address": "Shenzhen Institutes of Advanced Technology", "lat": "22.59805605", "lng": "113.98533784", "type": "edu"}, {"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf"]}, {"id": "2679e4f84c5e773cae31cef158eb358af475e22f", "title": "Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}, {"address": "Chinese Academy of Science", "lat": "39.91063270", "lng": "116.33563210", "type": "edu"}, {"address": "Hong Kong Polytechnic University", "lat": "22.30457200", "lng": "114.17976285", "type": "edu"}, {"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Liu_Adaptive_Deep_Metric_CVPR_2017_paper.pdf"]}, {"id": "0ee737085af468f264f57f052ea9b9b1f58d7222", "title": "SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08370.pdf"]}, {"id": "9103148dd87e6ff9fba28509f3b265e1873166c9", "title": "Face Analysis using 3 D Morphable Models", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9103/148dd87e6ff9fba28509f3b265e1873166c9.pdf"]}, {"id": "e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7", "title": "Toward End-to-End Face Recognition Through Alignment Learning", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.07174.pdf"]}, {"id": "15ef65fd68d61f3d47326e358c446b0f054f093a", "title": "Learning guided convolutional neural networks for cross-resolution face recognition", "addresses": [{"address": "National Chiao Tung University", "lat": "24.78676765", "lng": "120.99724412", "type": "edu"}, {"address": "Academia Sinica, Taiwan", "lat": "25.04117270", "lng": "121.61465180", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "8d3e95c31c93548b8c71dbeee2e9f7180067a888", "title": "Template regularized sparse coding for face verification", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "GE Global Research", "lat": "42.82715560", "lng": "-73.87804810", "type": "company"}], "year": "2016", "pdf": []}, {"id": "d4e669d5d35fa0ca9f8d9a193c82d4153f5ffc4e", "title": "A Lightened CNN for Deep Face Representation", "addresses": [{"address": "University of Science and Technology Beijing", "lat": "39.98945800", "lng": "116.35694500", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d4e6/69d5d35fa0ca9f8d9a193c82d4153f5ffc4e.pdf"]}, {"id": "d6791b98353aa113d79f6fb96335aa6c7ea3b759", "title": "Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}, {"address": "University of Massachusetts Dartmouth", "lat": "41.62772475", "lng": "-71.00724501", "type": "edu"}, {"address": "Northeastern University", "lat": "42.33836680", "lng": "-71.08793524", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "4d16337cc0431cd43043dfef839ce5f0717c3483", "title": "A Scalable and Privacy-Aware IoT Service for Live Video Analytics", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4d16/337cc0431cd43043dfef839ce5f0717c3483.pdf"]}, {"id": "e4c3587392d477b7594086c6f28a00a826abf004", "title": "Face recognition by facial attribute assisted network", "addresses": [{"address": "National Taiwan University of Science and Technology", "lat": "25.01353105", "lng": "121.54173736", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb", "title": "SREFI: Synthesis of realistic example face images", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06693.pdf"]}, {"id": "177d03c5851f7082cb023a20fa8a2cd1dfb59467", "title": "Difference networks and second-order difference networks", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "d29eec5e047560627c16803029d2eb8a4e61da75", "title": "Feature Transfer Learning for Deep Face Recognition with Long-Tail Data", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09014.pdf"]}, {"id": "35f03f5cbcc21a9c36c84e858eeb15c5d6722309", "title": "Placing Broadcast News Videos in their Social Media Context Using Hashtags", "addresses": [{"address": "Columbia University", "lat": "40.84198360", "lng": "-73.94368971", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "title": "Apparent Age Estimation Using Ensemble of Deep Learning Models", "addresses": [{"address": "Istanbul Technical University", "lat": "41.10427915", "lng": "29.02231159", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02909.pdf"]}, {"id": "7788fa76f1488b1597ee2bebc462f628e659f61e", "title": "A Privacy-Aware Architecture at the Edge for Autonomous Real-Time Identity Reidentification in Crowds", "addresses": [{"address": "University of Texas at San Antonio", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "39c10888a470b92b917788c57a6fd154c97b421c", "title": "Joint multi-feature fusion and attribute relationships for facial attribute prediction", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "72a55554b816b66a865a1ec1b4a5b17b5d3ba784", "title": "Real-Time Face Identification via CNN and Boosted Hashing Forest", "addresses": [{"address": "Russia", "lat": "61.52401000", "lng": "105.31875600", "type": "edu"}], "year": "2016", "pdf": ["http://vislab.ucr.edu/Biometrics16/CVPRW_Vizilter.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Vizilter_Real-Time_Face_Identification_CVPR_2016_paper.pdf"]}, {"id": "40bb090a4e303f11168dce33ed992f51afe02ff7", "title": "Marginal Loss for Deep Face Recognition", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf"]}, {"id": "3107316f243233d45e3c7e5972517d1ed4991f91", "title": "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training", "addresses": [{"address": "University of Science and Technology of China", "lat": "31.83907195", "lng": "117.26420748", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10155.pdf"]}, {"id": "cae41c3d5508f57421faf672ee1bea0da4be66e0", "title": "Palmprint recognition via discriminative index learning", "addresses": [{"address": "University of Lugano", "lat": "46.01073700", "lng": "8.95810900", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "a3201e955d6607d383332f3a12a7befa08c5a18c", "title": "VLAD encoded Deep Convolutional features for unconstrained face verification", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/ICPR2016_FV_CNN_final.pdf"]}, {"id": "486840f4f524e97f692a7f6b42cd19019ee71533", "title": "DeepVisage: Making Face Recognition Simple Yet With Powerful Generalization Skills", "addresses": [{"address": "\u00c9cole Centrale de Lyon", "lat": "45.78359660", "lng": "4.76789480", "type": "edu"}, {"address": "Safran Identity and Security", "lat": "48.83249300", "lng": "2.26747400", "type": "company"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08388.pdf"]}, {"id": "91b7270b7f2a8a52df6a689f73d14986b2d48ba1", "title": "Improving Convolutional Neural Networks Via Compacting Features", "addresses": [{"address": "Collaborative Innovation Center for Geospatial Information Technology, Wuhan, China", "lat": "30.59284900", "lng": "114.30553900", "type": "edu"}, {"address": "Wuhan University of Technology", "lat": "30.60903415", "lng": "114.35142840", "type": "edu"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0002946.pdf"]}, {"id": "2f16baddac6af536451b3216b02d3480fc361ef4", "title": "Web-scale training for face identification", "addresses": [{"address": "Tel Aviv University", "lat": "32.11198890", "lng": "34.80459702", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1406.5266.pdf"]}, {"id": "73f341ff68caa9f8802e9e81bfa90d88bbdbd9d2", "title": "Report on the BTAS 2016 Video Person Recognition Evaluation", "addresses": [{"address": "University of Ljubljana", "lat": "46.05015580", "lng": "14.46907327", "type": "edu"}, {"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}, {"address": "University of Technology Sydney", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu"}, {"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2016", "pdf": ["https://www.wjscheirer.com/papers/wjs_btas2016_video_challenge.pdf"]}, {"id": "fe0cf8eaa5a5f59225197ef1bb8613e603cd96d4", "title": "Improved Face Verification with Simple Weighted Feature Combination", "addresses": [{"address": "Tongji University", "lat": "31.28473925", "lng": "121.49694909", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4e20/8cfff33327863b5aeef0bf9b327798a5610c.pdf"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"]}, {"id": "c43ed9b34cad1a3976bac7979808eb038d88af84", "title": "Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03675.pdf"]}, {"id": "a8117a4733cce9148c35fb6888962f665ae65b1e", "title": "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.00438.pdf"]}, {"id": "9627f28ea5f4c389350572b15968386d7ce3fe49", "title": "Load Balanced GANs for Multi-view Face Image Synthesis", "addresses": [{"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07447.pdf"]}, {"id": "44f48a4b1ef94a9104d063e53bf88a69ff0f55f3", "title": "Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08107.pdf"]}, {"id": "ba6769c165967c8dcb11fe5e0be2153ddbe99c7e", "title": "Deep learning for gender recognition", "addresses": [{"address": "Harbin Institute of Technology", "lat": "45.74139210", "lng": "126.62552755", "type": "edu"}, {"address": "Nanyang Technological University", "lat": "1.34841040", "lng": "103.68297965", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2015", "pdf": []}, {"id": "6ce23cf4f440021b7b05aa3c1c2700cc7560b557", "title": "Learning Local Convolutional Features for Face Recognition with 2D-Warping", "addresses": [{"address": "RWTH Aachen University", "lat": "50.77917030", "lng": "6.06728733", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6ce2/3cf4f440021b7b05aa3c1c2700cc7560b557.pdf"]}, {"id": "f5eb411217f729ad7ae84bfd4aeb3dedb850206a", "title": "Tackling Low Resolution for Better Scene Understanding", "addresses": [{"address": "International Institute of Information Technology", "lat": "17.44549570", "lng": "78.34854698", "type": "edu"}, {"address": "India", "lat": "20.59368400", "lng": "78.96288000", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f5eb/411217f729ad7ae84bfd4aeb3dedb850206a.pdf"]}, {"id": "92e464a5a67582d5209fa75e3b29de05d82c7c86", "title": "Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition", "addresses": [{"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92e4/64a5a67582d5209fa75e3b29de05d82c7c86.pdf"]}, {"id": "cd2f8d661ea2c6d6818a278eb4f0548751c3b1ae", "title": "Improving CNN Performance Accuracies With Min\u2013Max Objective", "addresses": [{"address": "Xi'an Jiaotong University", "lat": "34.24749490", "lng": "108.97898751", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "0334a8862634988cc684dacd4279c5c0d03704da", "title": "FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06591.pdf"]}, {"id": "3d1b59fa0252e72afd8b107a1dac47cc2d5f8bb2", "title": "Recognizing Minimal Facial Sketch by Generating Photorealistic Faces With the Guidance of Descriptive Attributes", "addresses": [{"address": "Shanghai Jiao Tong University", "lat": "31.20081505", "lng": "121.42840681", "type": "edu"}, {"address": "Tsinghua National Lab for Information Science and Technology, Beijing", "lat": "39.99674580", "lng": "116.33229460", "type": "edu"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0001688.pdf"]}, {"id": "31f1e711fcf82c855f27396f181bf5e565a2f58d", "title": "Unconstrained Age Estimation with Deep Convolutional Neural Networks", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Ranjan_Unconstrained_Age_Estimation_ICCV_2015_paper.pdf", "http://www.rci.rutgers.edu/~vmp93/Conference_pub/Age_iccv2015.pdf"]}, {"id": "a2d1818eb461564a5153c74028e53856cf0b40fd", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"address": "Tencent", "lat": "22.54471540", "lng": "113.93571640", "type": "company"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"]}, {"id": "4c8ef4f98c6c8d340b011cfa0bb65a9377107970", "title": "Sentiment Recognition in Egocentric Photostreams", "addresses": [{"address": "University of Groningen", "lat": "53.21967825", "lng": "6.56251482", "type": "edu"}, {"address": "University of Barcelona", "lat": "41.38689130", "lng": "2.16352385", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09933.pdf"]}, {"id": "035c8632c1ffbeb75efe16a4ec50c91e20e6e189", "title": "Kinship verification from facial images and videos: human versus machine", "addresses": [{"address": "University of Oulu", "lat": "65.05921570", "lng": "25.46632601", "type": "edu"}], "year": "2018", "pdf": ["https://people.eng.unimelb.edu.au/vkostakos/files/papers/mva18.pdf"]}]}
\ No newline at end of file |