index,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
0,CASIA Webface,casia_webface,0.0,0.0,,,853bd61bc48a431b9b1c7cab10c603830c488e39,main,http://pdfs.semanticscholar.org/b8a2/0ed7e74325da76d7183d1ab77b082a92b447.pdf,Learning Face Representation from Scratch,2014
1,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,def2983576001bac7d6461d78451159800938112,citation,https://arxiv.org/pdf/1705.07426.pdf,The Do’s and Don’ts for CNN-Based Face Verification,2017
2,CASIA Webface,casia_webface,38.5336349,-121.79077264,"University of California, Davis",edu,e94dfdc5581f6bc0338e21ad555b5f1734f8697e,citation,https://arxiv.org/pdf/1803.11556.pdf,Learning to Anonymize Faces for Privacy Preserving Action Detection,2018
3,CASIA Webface,casia_webface,24.7925484,120.9951183,National Tsing Hua University,edu,68c3e61cefcfe4812df54be12625dabe66fb06a4,citation,https://pdfs.semanticscholar.org/68c3/e61cefcfe4812df54be12625dabe66fb06a4.pdf,A Compact Deep Learning Model for Robust Facial Expression Recognition,0
4,CASIA Webface,casia_webface,23.0502042,113.39880323,South China University of Technology,edu,4bd3de97b256b96556d19a5db71dda519934fd53,citation,http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.529,Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition,2016
5,CASIA Webface,casia_webface,22.59805605,113.98533784,Shenzhen Institutes of Advanced Technology,edu,4bd3de97b256b96556d19a5db71dda519934fd53,citation,http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.529,Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition,2016
6,CASIA Webface,casia_webface,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,cd6aaa37fffd0b5c2320f386be322b8adaa1cc68,citation,https://arxiv.org/pdf/1804.06655.pdf,Deep Face Recognition: A Survey,2018
7,CASIA Webface,casia_webface,36.3697191,127.362537,Korea Advanced Institute of Science and Technology,edu,2744e6d526b8f2c1b297ac2d2458aaa08b0cda11,citation,http://doi.org/10.1007/s11042-017-5571-3,Example image-based feature extraction for face recognition,2017
8,CASIA Webface,casia_webface,37.2830003,127.04548469,Ajou University,edu,2744e6d526b8f2c1b297ac2d2458aaa08b0cda11,citation,http://doi.org/10.1007/s11042-017-5571-3,Example image-based feature extraction for face recognition,2017
9,CASIA Webface,casia_webface,46.0501558,14.46907327,University of Ljubljana,edu,368d59cf1733af511ed8abbcbeb4fb47afd4da1c,citation,http://pdfs.semanticscholar.org/368d/59cf1733af511ed8abbcbeb4fb47afd4da1c.pdf,To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition,2016
10,CASIA Webface,casia_webface,41.70456775,-86.23822026,University of Notre Dame,edu,368d59cf1733af511ed8abbcbeb4fb47afd4da1c,citation,http://pdfs.semanticscholar.org/368d/59cf1733af511ed8abbcbeb4fb47afd4da1c.pdf,To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition,2016
11,CASIA Webface,casia_webface,32.1119889,34.80459702,Tel Aviv University,edu,63a6c256ec2cf2e0e0c9a43a085f5bc94af84265,citation,https://doi.org/10.1109/ICPR.2016.7899662,Complexity of multiverse networks and their multilayer generalization,2016
12,CASIA Webface,casia_webface,42.3383668,-71.08793524,Northeastern University,edu,c9efcd8e32dced6efa2bba64789df8d0a8e4996a,citation,http://dl.acm.org/citation.cfm?id=2984060,Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition,2016
13,CASIA Webface,casia_webface,31.846918,117.29053367,Hefei University of Technology,edu,f6e6b4d0b7c16112dcb71ff502033a2187b1ec9b,citation,https://doi.org/10.1109/TMM.2015.2476657,Understanding Blooming Human Groups in Social Networks,2015
14,CASIA Webface,casia_webface,29.58333105,-98.61944505,University of Texas at San Antonio,edu,f6e6b4d0b7c16112dcb71ff502033a2187b1ec9b,citation,https://doi.org/10.1109/TMM.2015.2476657,Understanding Blooming Human Groups in Social Networks,2015
15,CASIA Webface,casia_webface,1.2962018,103.77689944,National University of Singapore,edu,f6e6b4d0b7c16112dcb71ff502033a2187b1ec9b,citation,https://doi.org/10.1109/TMM.2015.2476657,Understanding Blooming Human Groups in Social Networks,2015
16,CASIA Webface,casia_webface,48.8476037,2.2639934,"Université Paris-Saclay, France",edu,96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8364450,State-of-the-art face recognition performance using publicly available software and datasets,2018
17,CASIA Webface,casia_webface,32.77824165,34.99565673,Open University of Israel,edu,870433ba89d8cab1656e57ac78f1c26f4998edfb,citation,http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.163,Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network,2017
18,CASIA Webface,casia_webface,51.5231607,-0.1282037,University College London,edu,c53352a4239568cc915ad968aff51c49924a3072,citation,http://pdfs.semanticscholar.org/c533/52a4239568cc915ad968aff51c49924a3072.pdf,Transfer Representation-Learning for Anomaly Detection,2016
19,CASIA Webface,casia_webface,25.01682835,121.53846924,National Taiwan University,edu,17423fe480b109e1d924314c1dddb11b084e8a42,citation,https://pdfs.semanticscholar.org/1742/3fe480b109e1d924314c1dddb11b084e8a42.pdf,Deep Disguised Faces Recognition,0
20,CASIA Webface,casia_webface,33.5866784,-101.87539204,Electrical and Computer Engineering,edu,ebb3d5c70bedf2287f9b26ac0031004f8f617b97,citation,https://doi.org/10.1109/MSP.2017.2764116,"Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans",2018
21,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,ebb3d5c70bedf2287f9b26ac0031004f8f617b97,citation,https://doi.org/10.1109/MSP.2017.2764116,"Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans",2018
22,CASIA Webface,casia_webface,31.846918,117.29053367,Hefei University of Technology,edu,1ba9d12f24ac04f0309e8ff9b0162c6e18d97dc3,citation,http://doi.acm.org/10.1145/2964284.2984061,Robust Face Recognition with Deep Multi-View Representation Learning,2016
23,CASIA Webface,casia_webface,1.2962018,103.77689944,National University of Singapore,edu,1ba9d12f24ac04f0309e8ff9b0162c6e18d97dc3,citation,http://doi.acm.org/10.1145/2964284.2984061,Robust Face Recognition with Deep Multi-View Representation Learning,2016
24,CASIA Webface,casia_webface,41.70456775,-86.23822026,University of Notre Dame,edu,73ea06787925157df519a15ee01cc3dc1982a7e0,citation,https://arxiv.org/pdf/1811.01474.pdf,Fast Face Image Synthesis with Minimal Training,2018
25,CASIA Webface,casia_webface,22.53521465,113.9315911,Shenzhen University,edu,1d7df3df839a6aa8f5392310d46b2a89080a3c25,citation,https://arxiv.org/pdf/1612.02295.pdf,Large-Margin Softmax Loss for Convolutional Neural Networks,2016
26,CASIA Webface,casia_webface,23.0502042,113.39880323,South China University of Technology,edu,1d7df3df839a6aa8f5392310d46b2a89080a3c25,citation,https://arxiv.org/pdf/1612.02295.pdf,Large-Margin Softmax Loss for Convolutional Neural Networks,2016
27,CASIA Webface,casia_webface,37.4102193,-122.05965487,Carnegie Mellon University,edu,edff76149ec44f6849d73f019ef9bded534a38c2,citation,https://arxiv.org/pdf/1704.02203.pdf,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,2017
28,CASIA Webface,casia_webface,42.718568,-84.47791571,Michigan State University,edu,edff76149ec44f6849d73f019ef9bded534a38c2,citation,https://arxiv.org/pdf/1704.02203.pdf,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,2017
29,CASIA Webface,casia_webface,35.9020448,139.93622009,University of Tokyo,edu,edff76149ec44f6849d73f019ef9bded534a38c2,citation,https://arxiv.org/pdf/1704.02203.pdf,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,2017
30,CASIA Webface,casia_webface,37.4102193,-122.05965487,Carnegie Mellon University,edu,bd8f77b7d3b9d272f7a68defc1412f73e5ac3135,citation,https://arxiv.org/pdf/1704.08063.pdf,SphereFace: Deep Hypersphere Embedding for Face Recognition,2017
31,CASIA Webface,casia_webface,33.776033,-84.39884086,Georgia Institute of Technology,edu,bd8f77b7d3b9d272f7a68defc1412f73e5ac3135,citation,https://arxiv.org/pdf/1704.08063.pdf,SphereFace: Deep Hypersphere Embedding for Face Recognition,2017
32,CASIA Webface,casia_webface,23.09461185,113.28788994,Sun Yat-Sen University,edu,bd8f77b7d3b9d272f7a68defc1412f73e5ac3135,citation,https://arxiv.org/pdf/1704.08063.pdf,SphereFace: Deep Hypersphere Embedding for Face Recognition,2017
33,CASIA Webface,casia_webface,33.776033,-84.39884086,Georgia Institute of Technology,edu,9b2a272d4526b3eeeda0beb0d399074d5380a2b3,citation,https://arxiv.org/pdf/1808.01424.pdf,Learning to Align Images Using Weak Geometric Supervision,2018
34,CASIA Webface,casia_webface,47.6423318,-122.1369302,Microsoft,company,9b2a272d4526b3eeeda0beb0d399074d5380a2b3,citation,https://arxiv.org/pdf/1808.01424.pdf,Learning to Align Images Using Weak Geometric Supervision,2018
35,CASIA Webface,casia_webface,40.51865195,-74.44099801,State University of New Jersey,edu,96e731e82b817c95d4ce48b9e6b08d2394937cf8,citation,http://arxiv.org/pdf/1508.01722v2.pdf,Unconstrained face verification using deep CNN features,2016
36,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,96e731e82b817c95d4ce48b9e6b08d2394937cf8,citation,http://arxiv.org/pdf/1508.01722v2.pdf,Unconstrained face verification using deep CNN features,2016
37,CASIA Webface,casia_webface,36.3697191,127.362537,Korea Advanced Institute of Science and Technology,edu,75858dbee2c248a60741fbc64dcad4f8b63d51cb,citation,https://doi.org/10.1109/TIP.2015.2460464,Markov Network-Based Unified Classifier for Face Recognition,2015
38,CASIA Webface,casia_webface,42.718568,-84.47791571,Michigan State University,edu,a2b4a6c6b32900a066d0257ae6d4526db872afe2,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272466,Learning Face Image Quality From Human Assessments,2018
39,CASIA Webface,casia_webface,32.1119889,34.80459702,Tel Aviv University,edu,7859667ed6c05a467dfc8a322ecd0f5e2337db56,citation,http://pdfs.semanticscholar.org/7859/667ed6c05a467dfc8a322ecd0f5e2337db56.pdf,Web-Scale Transfer Learning for Unconstrained 1:N Face Identification,2015
40,CASIA Webface,casia_webface,22.59805605,113.98533784,Shenzhen Institutes of Advanced Technology,edu,b8084d5e193633462e56f897f3d81b2832b72dff,citation,http://pdfs.semanticscholar.org/b808/4d5e193633462e56f897f3d81b2832b72dff.pdf,DeepID3: Face Recognition with Very Deep Neural Networks,2015
41,CASIA Webface,casia_webface,22.42031295,114.20788644,Chinese University of Hong Kong,edu,b8084d5e193633462e56f897f3d81b2832b72dff,citation,http://pdfs.semanticscholar.org/b808/4d5e193633462e56f897f3d81b2832b72dff.pdf,DeepID3: Face Recognition with Very Deep Neural Networks,2015
42,CASIA Webface,casia_webface,30.19331415,120.11930822,Zhejiang University,edu,969fd48e1a668ab5d3c6a80a3d2aeab77067c6ce,citation,http://pdfs.semanticscholar.org/969f/d48e1a668ab5d3c6a80a3d2aeab77067c6ce.pdf,End-To-End Face Detection and Recognition,2017
43,CASIA Webface,casia_webface,42.3889785,-72.5286987,University of Massachusetts,edu,368e99f669ea5fd395b3193cd75b301a76150f9d,citation,https://arxiv.org/pdf/1506.01342.pdf,One-to-many face recognition with bilinear CNNs,2016
44,CASIA Webface,casia_webface,1.3484104,103.68297965,Nanyang Technological University,edu,b2470969e4fba92f7909eac26b77d08cc5575533,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8326475,Profit Maximization Mechanism and Data Management for Data Analytics Services,2018
45,CASIA Webface,casia_webface,49.2579566,7.04577417,Max Planck Institute for Informatics,edu,0c59071ddd33849bd431165bc2d21bbe165a81e0,citation,http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Oh_Person_Recognition_in_ICCV_2015_paper.pdf,Person Recognition in Personal Photo Collections,2015
46,CASIA Webface,casia_webface,51.7534538,-1.25400997,University of Oxford,edu,eb027969f9310e0ae941e2adee2d42cdf07d938c,citation,https://arxiv.org/pdf/1710.08092.pdf,VGGFace2: A Dataset for Recognising Faces across Pose and Age,2018
47,CASIA Webface,casia_webface,25.2873992,110.3324277,Guilin University of Electronic Technology Guangxi Guilin,edu,9989ad33b64accea8042e386ff3f1216386ba7f1,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393320,Facial feature extraction method based on shallow and deep fusion CNN,2017
48,CASIA Webface,casia_webface,51.49887085,-0.17560797,Imperial College London,edu,809ea255d144cff780300440d0f22c96e98abd53,citation,http://pdfs.semanticscholar.org/809e/a255d144cff780300440d0f22c96e98abd53.pdf,ArcFace: Additive Angular Margin Loss for Deep Face Recognition,2018
49,CASIA Webface,casia_webface,29.7207902,-95.34406271,University of Houston,edu,38d8ff137ff753f04689e6b76119a44588e143f3,citation,http://pdfs.semanticscholar.org/38d8/ff137ff753f04689e6b76119a44588e143f3.pdf,When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition,2017
50,CASIA Webface,casia_webface,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,fb1627ed224bf7b1e3d80c097316ed7703951df2,citation,https://doi.org/10.1109/VCIP.2017.8305094,Deep transfer network for face recognition using 3D synthesized face,2017
51,CASIA Webface,casia_webface,39.65404635,-79.96475355,West Virginia University,edu,7a65fc9e78eff3ab6062707deaadde024d2fad40,citation,http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf,A Study on Apparent Age Estimation,2015
52,CASIA Webface,casia_webface,59.34986645,18.07063213,"KTH Royal Institute of Technology, Stockholm",edu,633101e794d7b80f55f466fd2941ea24595e10e6,citation,https://pdfs.semanticscholar.org/6331/01e794d7b80f55f466fd2941ea24595e10e6.pdf,Face Attribute Prediction with classification CNN,2016
53,CASIA Webface,casia_webface,23.09461185,113.28788994,Sun Yat-Sen University,edu,80d42f74ee9bf03f3790c8d0f5a307deffe0b3b7,citation,https://doi.org/10.1109/TNNLS.2016.2522431,Learning Kernel Extended Dictionary for Face Recognition,2017
54,CASIA Webface,casia_webface,39.329053,-76.619425,Johns Hopkins University,edu,4317856a1458baa427dc00e8ea505d2fc5f118ab,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296449,Regularizing face verification nets for pain intensity regression,2017
55,CASIA Webface,casia_webface,29.7207902,-95.34406271,University of Houston,edu,7fcd03407c084023606c901e8933746b80d2ad57,citation,https://doi.org/10.1109/BTAS.2017.8272694,Local classifier chains for deep face recognition,2017
56,CASIA Webface,casia_webface,39.329053,-76.619425,Johns Hopkins University,edu,92be73dffd3320fe7734258961fe5a5f2a43390e,citation,https://pdfs.semanticscholar.org/92be/73dffd3320fe7734258961fe5a5f2a43390e.pdf,Transferring Face Verification Nets To Pain and Expression Regression,2017
57,CASIA Webface,casia_webface,40.00229045,116.32098908,Tsinghua University,edu,92be73dffd3320fe7734258961fe5a5f2a43390e,citation,https://pdfs.semanticscholar.org/92be/73dffd3320fe7734258961fe5a5f2a43390e.pdf,Transferring Face Verification Nets To Pain and Expression Regression,2017
58,CASIA Webface,casia_webface,50.7338124,7.1022465,Rheinische-Friedrich-Wilhelms University,edu,561ae67de137e75e9642ab3512d3749b34484310,citation,http://pdfs.semanticscholar.org/561a/e67de137e75e9642ab3512d3749b34484310.pdf,DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning,2018
59,CASIA Webface,casia_webface,32.1119889,34.80459702,Tel Aviv University,edu,561ae67de137e75e9642ab3512d3749b34484310,citation,http://pdfs.semanticscholar.org/561a/e67de137e75e9642ab3512d3749b34484310.pdf,DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning,2018
60,CASIA Webface,casia_webface,32.87935255,-117.23110049,"University of California, San Diego",edu,561ae67de137e75e9642ab3512d3749b34484310,citation,http://pdfs.semanticscholar.org/561a/e67de137e75e9642ab3512d3749b34484310.pdf,DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning,2018
61,CASIA Webface,casia_webface,43.7776426,11.259765,University of Florence,edu,746c0205fdf191a737df7af000eaec9409ede73f,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119,Investigating Nuisances in DCNN-Based Face Recognition,2018
62,CASIA Webface,casia_webface,50.7791703,6.06728733,RWTH Aachen University,edu,c10b0a6ba98aa95d740a0d60e150ffd77c7895ad,citation,http://pdfs.semanticscholar.org/c10b/0a6ba98aa95d740a0d60e150ffd77c7895ad.pdf,Deep Fisher Faces,2017
63,CASIA Webface,casia_webface,28.54632595,77.27325504,Indian Institute of Technology Delhi,edu,cbb27980eb04f68d9f10067d3d3c114efa9d0054,citation,https://arxiv.org/pdf/1807.03380.pdf,An Attention Model for Group-Level Emotion Recognition,2018
64,CASIA Webface,casia_webface,39.9922379,116.30393816,Peking University,edu,8bf243817112ac0aa1348b40a065bb0b735cdb9c,citation,http://pdfs.semanticscholar.org/8bf2/43817112ac0aa1348b40a065bb0b735cdb9c.pdf,Learning a Repression Network for Precise Vehicle Search,2017
65,CASIA Webface,casia_webface,51.7534538,-1.25400997,University of Oxford,edu,30180f66d5b4b7c0367e4b43e2b55367b72d6d2a,citation,http://www.robots.ox.ac.uk/~vgg/publications/2017/Crosswhite17/crosswhite17.pdf,Template Adaptation for Face Verification and Identification,2017
66,CASIA Webface,casia_webface,40.0044795,116.370238,Chinese Academy of Sciences,edu,55fdff2881d43050a8c51c7fdc094dbfbbe6fa46,citation,https://doi.org/10.1109/ICB.2016.7550064,Transferring deep representation for NIR-VIS heterogeneous face recognition,2016
67,CASIA Webface,casia_webface,59.34986645,18.07063213,"KTH Royal Institute of Technology, Stockholm",edu,6d07e176c754ac42773690d4b4919a39df85d7ec,citation,https://pdfs.semanticscholar.org/6d07/e176c754ac42773690d4b4919a39df85d7ec.pdf,Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks,2016
68,CASIA Webface,casia_webface,52.2380139,6.8566761,University of Twente,edu,fd9feb21b3d1fab470ff82e3f03efce6a0e67a1f,citation,http://pdfs.semanticscholar.org/fd9f/eb21b3d1fab470ff82e3f03efce6a0e67a1f.pdf,Deep Verification Learning,2016
69,CASIA Webface,casia_webface,32.77824165,34.99565673,Open University of Israel,edu,1e6ed6ca8209340573a5e907a6e2e546a3bf2d28,citation,http://arxiv.org/pdf/1607.01450v1.pdf,Pooling Faces: Template Based Face Recognition with Pooled Face Images,2016
70,CASIA Webface,casia_webface,51.49887085,-0.17560797,Imperial College London,edu,8e0ab1b08964393e4f9f42ca037220fe98aad7ac,citation,https://arxiv.org/pdf/1712.04695.pdf,UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition,2017
71,CASIA Webface,casia_webface,40.0044795,116.370238,Chinese Academy of Sciences,edu,68c4a1d438ea1c6dfba92e3aee08d48f8e7f7090,citation,http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Liu_AgeNet_Deeply_Learned_ICCV_2015_paper.pdf,AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation,2015
72,CASIA Webface,casia_webface,40.47913175,-74.43168868,Rutgers University,edu,76669f166ddd3fb830dbaacb3daa875cfedc24d9,citation,https://doi.org/10.1109/ICPR.2016.7899840,Learning face recognition from limited training data using deep neural networks,2016
73,CASIA Webface,casia_webface,41.21002475,-73.80407056,IBM Thomas J. Watson Research Center,company,76669f166ddd3fb830dbaacb3daa875cfedc24d9,citation,https://doi.org/10.1109/ICPR.2016.7899840,Learning face recognition from limited training data using deep neural networks,2016
74,CASIA Webface,casia_webface,37.5557271,127.0436642,Hanyang University,edu,946017d5f11aa582854ac4c0e0f1b18b06127ef1,citation,https://pdfs.semanticscholar.org/9460/17d5f11aa582854ac4c0e0f1b18b06127ef1.pdf,Tracking Persons-of-Interest via Adaptive Discriminative Features,2016
75,CASIA Webface,casia_webface,37.36566745,-120.42158888,"University of California, Merced",edu,946017d5f11aa582854ac4c0e0f1b18b06127ef1,citation,https://pdfs.semanticscholar.org/9460/17d5f11aa582854ac4c0e0f1b18b06127ef1.pdf,Tracking Persons-of-Interest via Adaptive Discriminative Features,2016
76,CASIA Webface,casia_webface,40.11116745,-88.22587665,"University of Illinois, Urbana-Champaign",edu,946017d5f11aa582854ac4c0e0f1b18b06127ef1,citation,https://pdfs.semanticscholar.org/9460/17d5f11aa582854ac4c0e0f1b18b06127ef1.pdf,Tracking Persons-of-Interest via Adaptive Discriminative Features,2016
77,CASIA Webface,casia_webface,47.6423318,-122.1369302,Microsoft,company,291265db88023e92bb8c8e6390438e5da148e8f5,citation,http://pdfs.semanticscholar.org/4603/cb8e05258bb0572ae912ad20903b8f99f4b1.pdf,MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition,2016
78,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,24e82eaf3257e761d6ca0ffcc2cbca30dfca82e9,citation,https://doi.org/10.1109/GlobalSIP.2016.7906030,An analysis of the robustness of deep face recognition networks to noisy training labels,2016
79,CASIA Webface,casia_webface,39.65404635,-79.96475355,West Virginia University,edu,24e82eaf3257e761d6ca0ffcc2cbca30dfca82e9,citation,https://doi.org/10.1109/GlobalSIP.2016.7906030,An analysis of the robustness of deep face recognition networks to noisy training labels,2016
80,CASIA Webface,casia_webface,39.9808333,116.34101249,Beihang University,edu,a961f1234e963a7945fed70197015678149b37d8,citation,http://dl.acm.org/citation.cfm?id=3206068,Facial Expression Synthesis by U-Net Conditional Generative Adversarial Networks,2018
81,CASIA Webface,casia_webface,29.82366295,106.42050016,Southwest University,edu,11a47a91471f40af5cf00449954474fd6e9f7694,citation,http://pdfs.semanticscholar.org/11a4/7a91471f40af5cf00449954474fd6e9f7694.pdf,NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification,2016
82,CASIA Webface,casia_webface,25.2873992,110.3324277,Guilin University of Electronic Technology Guangxi Guilin,edu,ef2bb8bd93fa8b44414565b32735334fa6823b56,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8393076,An accurate and efficient face recognition method based on hash coding,2017
83,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,23dd8d17ce09c22d367e4d62c1ccf507bcbc64da,citation,https://pdfs.semanticscholar.org/23dd/8d17ce09c22d367e4d62c1ccf507bcbc64da.pdf,Deep Density Clustering of Unconstrained Faces ( Supplementary Material ),2018
84,CASIA Webface,casia_webface,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,3dfb822e16328e0f98a47209d7ecd242e4211f82,citation,https://arxiv.org/pdf/1708.08197.pdf,Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments,2017
85,CASIA Webface,casia_webface,40.0044795,116.370238,Chinese Academy of Sciences,edu,64b9ad39d115f3e375bde4f70fb8fdef5d681df8,citation,https://doi.org/10.1109/ICB.2016.7550088,Bootstrapping Joint Bayesian model for robust face verification,2016
86,CASIA Webface,casia_webface,32.77824165,34.99565673,Open University of Israel,edu,c75e6ce54caf17b2780b4b53f8d29086b391e839,citation,https://arxiv.org/pdf/1802.00542.pdf,"ExpNet: Landmark-Free, Deep, 3D Facial Expressions",2018
87,CASIA Webface,casia_webface,22.53521465,113.9315911,Shenzhen University,edu,66dcd855a6772d2731b45cfdd75f084327b055c2,citation,http://pdfs.semanticscholar.org/66dc/d855a6772d2731b45cfdd75f084327b055c2.pdf,Quality Classified Image Analysis with Application to Face Detection and Recognition,2018
88,CASIA Webface,casia_webface,42.3383668,-71.08793524,Northeastern University,edu,e00d4e4ba25fff3583b180db078ef962bf7d6824,citation,http://pdfs.semanticscholar.org/e00d/4e4ba25fff3583b180db078ef962bf7d6824.pdf,Face Verification with Multi-Task and Multi-Scale Features Fusion,2017
89,CASIA Webface,casia_webface,37.4102193,-122.05965487,Carnegie Mellon University,edu,831d661d657d97a07894da8639a048c430c5536d,citation,http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.19,Weakly Supervised Facial Analysis with Dense Hyper-Column Features,2016
90,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,5865b6d83ba6dbbf9167f1481e9339c2ef1d1f6b,citation,https://doi.org/10.1109/ICPR.2016.7900278,Regularized metric adaptation for unconstrained face verification,2016
91,CASIA Webface,casia_webface,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,e9c008d31da38d9eef67a28d2c77cb7daec941fb,citation,https://arxiv.org/pdf/1708.03769.pdf,Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation,2017
92,CASIA Webface,casia_webface,23.09461185,113.28788994,Sun Yat-Sen University,edu,c675534be881e59a78a5986b8fb4e649ddd2abbe,citation,https://doi.org/10.1109/ICIP.2017.8296548,Face recognition by landmark pooling-based CNN with concentrate loss,2017
93,CASIA Webface,casia_webface,40.51865195,-74.44099801,State University of New Jersey,edu,ea03a569272d329090fe60d6bff8d119e18057d7,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532906,Fisher vector encoded deep convolutional features for unconstrained face verification,2016
94,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,ea03a569272d329090fe60d6bff8d119e18057d7,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532906,Fisher vector encoded deep convolutional features for unconstrained face verification,2016
95,CASIA Webface,casia_webface,40.0044795,116.370238,Chinese Academy of Sciences,edu,a73405038fdc0d8bf986539ef755a80ebd341e97,citation,https://doi.org/10.1109/TIP.2017.2698918,Conditional High-Order Boltzmann Machines for Supervised Relation Learning,2017
96,CASIA Webface,casia_webface,36.20304395,117.05842113,Tianjin University,edu,5180df9d5eb26283fb737f491623395304d57497,citation,https://arxiv.org/pdf/1804.10899.pdf,Scalable Angular Discriminative Deep Metric Learning for Face Recognition,2018
97,CASIA Webface,casia_webface,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,3ac3a714042d3ebc159546c26321a1f8f4f5f80c,citation,http://dl.acm.org/citation.cfm?id=3025149,Clustering lightened deep representation for large scale face identification,2017
98,CASIA Webface,casia_webface,37.26728,126.9841151,Seoul National University,edu,282503fa0285240ef42b5b4c74ae0590fe169211,citation,http://pdfs.semanticscholar.org/2825/03fa0285240ef42b5b4c74ae0590fe169211.pdf,Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks,2018
99,CASIA Webface,casia_webface,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,29db046dd1f8100b279c3f5f5c5ef19bdbf5af9a,citation,https://arxiv.org/pdf/1706.04717.pdf,Recent Progress of Face Image Synthesis,2017
100,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,4f7b92bd678772552b3c3edfc9a7c5c4a8c60a8e,citation,https://pdfs.semanticscholar.org/4f7b/92bd678772552b3c3edfc9a7c5c4a8c60a8e.pdf,Deep Density Clustering of Unconstrained Faces,0
101,CASIA Webface,casia_webface,30.40550035,-91.18620474,Louisiana State University,edu,9f65319b8a33c8ec11da2f034731d928bf92e29d,citation,http://pdfs.semanticscholar.org/9f65/319b8a33c8ec11da2f034731d928bf92e29d.pdf,Taking Roll: a Pipeline for Face Recognition,2018
102,CASIA Webface,casia_webface,41.10427915,29.02231159,Istanbul Technical University,edu,d3d5d86afec84c0713ec868cf5ed41661fc96edc,citation,https://arxiv.org/pdf/1606.02894.pdf,A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition,2016
103,CASIA Webface,casia_webface,40.8927159,29.37863323,Sabanci University,edu,d3d5d86afec84c0713ec868cf5ed41661fc96edc,citation,https://arxiv.org/pdf/1606.02894.pdf,A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition,2016
104,CASIA Webface,casia_webface,31.76909325,117.17795091,Anhui University,edu,b910590a0eb191d03e1aedb3d55c905129e92e6b,citation,http://doi.acm.org/10.1145/2808492.2808570,Robust gender classification on unconstrained face images,2015
105,CASIA Webface,casia_webface,40.0044795,116.370238,Chinese Academy of Sciences,edu,b910590a0eb191d03e1aedb3d55c905129e92e6b,citation,http://doi.acm.org/10.1145/2808492.2808570,Robust gender classification on unconstrained face images,2015
106,CASIA Webface,casia_webface,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,b8bcf9c773da1c5ee76db4bf750c9ff5d159f1a0,citation,http://doi.acm.org/10.1145/2911996.2911999,Homemade TS-Net for Automatic Face Recognition,2016
107,CASIA Webface,casia_webface,39.86742125,32.73519072,Hacettepe University,edu,9865fe20df8fe11717d92b5ea63469f59cf1635a,citation,https://arxiv.org/pdf/1805.07566.pdf,Wildest Faces: Face Detection and Recognition in Violent Settings,2018
108,CASIA Webface,casia_webface,39.87549675,32.78553506,Middle East Technical University,edu,9865fe20df8fe11717d92b5ea63469f59cf1635a,citation,https://arxiv.org/pdf/1805.07566.pdf,Wildest Faces: Face Detection and Recognition in Violent Settings,2018
109,CASIA Webface,casia_webface,46.0501558,14.46907327,University of Ljubljana,edu,69adbfa7b0b886caac15ebe53b89adce390598a3,citation,https://arxiv.org/pdf/1805.10938.pdf,Face hallucination using cascaded super-resolution and identity priors,2018
110,CASIA Webface,casia_webface,41.70456775,-86.23822026,University of Notre Dame,edu,69adbfa7b0b886caac15ebe53b89adce390598a3,citation,https://arxiv.org/pdf/1805.10938.pdf,Face hallucination using cascaded super-resolution and identity priors,2018
111,CASIA Webface,casia_webface,42.3383668,-71.08793524,Northeastern University,edu,feea73095b1be0cbae1ad7af8ba2c4fb6f316d35,citation,http://dl.acm.org/citation.cfm?id=3126693,Deep Face Recognition with Center Invariant Loss,2017
112,CASIA Webface,casia_webface,35.9990522,-78.9290629,Duke University,edu,3f0c51989c516a7c5dee7dec4d7fb474ae6c28d9,citation,http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.720,Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding,2017
113,CASIA Webface,casia_webface,49.2579566,7.04577417,Max Planck Institute for Informatics,edu,91a4ebf1ca0314a74c436729700ef09bddaa6222,citation,https://arxiv.org/pdf/1808.01338.pdf,Detailed Human Avatars from Monocular Video,2018
114,CASIA Webface,casia_webface,47.5612651,7.5752961,University of Basel,edu,0081e2188c8f34fcea3e23c49fb3e17883b33551,citation,http://pdfs.semanticscholar.org/0081/e2188c8f34fcea3e23c49fb3e17883b33551.pdf,Training Deep Face Recognition Systems with Synthetic Data,2018
115,CASIA Webface,casia_webface,24.4399419,118.09301781,Xiamen University,edu,57ba4b6de23a6fc9d45ff052ed2563e5de00b968,citation,https://doi.org/10.1109/ICIP.2017.8296993,An efficient deep neural networks training framework for robust face recognition,2017
116,CASIA Webface,casia_webface,40.0044795,116.370238,Chinese Academy of Sciences,edu,43fe03ec1acb6ea9d05d2b22eeddb2631bd30437,citation,https://doi.org/10.1109/ICIP.2017.8296394,Weakly supervised multiscale-inception learning for web-scale face recognition,2017
117,CASIA Webface,casia_webface,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,0be418e63d111e3b94813875f75909e4dc27d13a,citation,https://doi.org/10.1109/ICB.2016.7550057,Fine-grained LFW database,2016
118,CASIA Webface,casia_webface,40.51865195,-74.44099801,State University of New Jersey,edu,d00e9a6339e34c613053d3b2c132fccbde547b56,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154,A cascaded convolutional neural network for age estimation of unconstrained faces,2016
119,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,d00e9a6339e34c613053d3b2c132fccbde547b56,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154,A cascaded convolutional neural network for age estimation of unconstrained faces,2016
120,CASIA Webface,casia_webface,42.718568,-84.47791571,Michigan State University,edu,450c6a57f19f5aa45626bb08d7d5d6acdb863b4b,citation,https://arxiv.org/pdf/1805.00611.pdf,Towards Interpretable Face Recognition,2018
121,CASIA Webface,casia_webface,30.2931534,120.1620458,Zhejiang University of Technology,edu,cb9921d5fc4ffa50be537332e111f03d74622442,citation,https://doi.org/10.1007/978-3-319-46654-5_79,Face Occlusion Detection Using Cascaded Convolutional Neural Network,2016
122,CASIA Webface,casia_webface,29.6328784,-82.3490133,University of Florida,edu,291de30ceecb5dcf0644c35e2b5935d341ea148b,citation,https://arxiv.org/pdf/1810.00024.pdf,Explainable Black-Box Attacks Against Model-based Authentication,2018
123,CASIA Webface,casia_webface,42.3383668,-71.08793524,Northeastern University,edu,3f540faf85e1f8de6ce04fb37e556700b67e4ad3,citation,http://pdfs.semanticscholar.org/3f54/0faf85e1f8de6ce04fb37e556700b67e4ad3.pdf,Face Verification with Multi-Task and Multi-Scale Feature Fusion,2017
124,CASIA Webface,casia_webface,29.7207902,-95.34406271,University of Houston,edu,8334da483f1986aea87b62028672836cb3dc6205,citation,https://arxiv.org/pdf/1805.06306.pdf,Fully Associative Patch-Based 1-to-N Matcher for Face Recognition,2018
125,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,0019925779bff96448f0c75492717e4473f88377,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w3/papers/Reale_Deep_Heterogeneous_Face_CVPR_2017_paper.pdf,Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric,2017
126,CASIA Webface,casia_webface,45.7413921,126.62552755,Harbin Institute of Technology,edu,05455f5e3c3989be4991cb74b73cdfd0d6522622,citation,https://arxiv.org/pdf/1804.04829.pdf,Learning Warped Guidance for Blind Face Restoration,2018
127,CASIA Webface,casia_webface,23.09461185,113.28788994,Sun Yat-Sen University,edu,05455f5e3c3989be4991cb74b73cdfd0d6522622,citation,https://arxiv.org/pdf/1804.04829.pdf,Learning Warped Guidance for Blind Face Restoration,2018
128,CASIA Webface,casia_webface,38.0333742,-84.5017758,University of Kentucky,edu,05455f5e3c3989be4991cb74b73cdfd0d6522622,citation,https://arxiv.org/pdf/1804.04829.pdf,Learning Warped Guidance for Blind Face Restoration,2018
129,CASIA Webface,casia_webface,51.49887085,-0.17560797,Imperial College London,edu,54bb25a213944b08298e4e2de54f2ddea890954a,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf,"AgeDB: The First Manually Collected, In-the-Wild Age Database",2017
130,CASIA Webface,casia_webface,51.59029705,-0.22963221,Middlesex University,edu,54bb25a213944b08298e4e2de54f2ddea890954a,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf,"AgeDB: The First Manually Collected, In-the-Wild Age Database",2017
131,CASIA Webface,casia_webface,25.01682835,121.53846924,National Taiwan University,edu,81884e1de00e59f24bc20254584d73a1a1806933,citation,https://arxiv.org/pdf/1811.02328.pdf,Super-Identity Convolutional Neural Network for Face Hallucination,2018
132,CASIA Webface,casia_webface,39.993008,116.329882,SenseTime,company,81884e1de00e59f24bc20254584d73a1a1806933,citation,https://arxiv.org/pdf/1811.02328.pdf,Super-Identity Convolutional Neural Network for Face Hallucination,2018
133,CASIA Webface,casia_webface,30.284151,-97.73195598,University of Texas at Austin,edu,81884e1de00e59f24bc20254584d73a1a1806933,citation,https://arxiv.org/pdf/1811.02328.pdf,Super-Identity Convolutional Neural Network for Face Hallucination,2018
134,CASIA Webface,casia_webface,47.6543238,-122.30800894,University of Washington,edu,405526dfc79de98f5bf3c97bf4aa9a287700f15d,citation,http://pdfs.semanticscholar.org/8a6c/57fcd99a77982ec754e0b97fd67519ccb60c.pdf,MegaFace: A Million Faces for Recognition at Scale,2015
135,CASIA Webface,casia_webface,32.77824165,34.99565673,Open University of Israel,edu,582edc19f2b1ab2ac6883426f147196c8306685a,citation,http://pdfs.semanticscholar.org/be6c/db7b181e73f546d43cf2ab6bc7181d7d619b.pdf,Do We Really Need to Collect Millions of Faces for Effective Face Recognition?,2016
136,CASIA Webface,casia_webface,36.3697191,127.362537,Korea Advanced Institute of Science and Technology,edu,076d3fc800d882445c11b9af466c3af7d2afc64f,citation,http://slsp.kaist.ac.kr/paperdata/Face_attribute_classification.pdf,Face attribute classification using attribute-aware correlation map and gated convolutional neural networks,2015
137,CASIA Webface,casia_webface,31.83907195,117.26420748,University of Science and Technology of China,edu,e1256ff535bf4c024dd62faeb2418d48674ddfa2,citation,https://arxiv.org/pdf/1803.11182.pdf,Towards Open-Set Identity Preserving Face Synthesis,2018
138,CASIA Webface,casia_webface,36.383765,127.36694,"Electronics and Telecommunications Research Institute, Daejeon, Korea",edu,77c5437107f8138d48cb7e10b2b286fa51473678,citation,https://doi.org/10.1109/URAI.2016.7734005,A pseudo ensemble convolutional neural networks,2016
139,CASIA Webface,casia_webface,36.3851395,127.3683413,"University of Science and Technology, Korea",edu,77c5437107f8138d48cb7e10b2b286fa51473678,citation,https://doi.org/10.1109/URAI.2016.7734005,A pseudo ensemble convolutional neural networks,2016
140,CASIA Webface,casia_webface,40.00229045,116.32098908,Tsinghua University,edu,93eb3963bc20e28af26c53ef3bce1e76b15e3209,citation,https://doi.org/10.1109/ICIP.2017.8296992,Occlusion robust face recognition based on mask learning,2017
141,CASIA Webface,casia_webface,40.0141905,-83.0309143,University of Electronic Science and Technology of China,edu,16b9d258547f1eccdb32111c9f45e2e4bbee79af,citation,https://arxiv.org/pdf/1704.06369.pdf,NormFace: L2 Hypersphere Embedding for Face Verification,2017
142,CASIA Webface,casia_webface,39.94976005,116.33629046,Beijing Jiaotong University,edu,7e2cfbfd43045fbd6aabd9a45090a5716fc4e179,citation,https://arxiv.org/pdf/1808.00435.pdf,Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate,2018
143,CASIA Webface,casia_webface,40.0044795,116.370238,Chinese Academy of Sciences,edu,99facca6fc50cc30f13b7b6dd49ace24bc94f702,citation,https://arxiv.org/pdf/1609.03892.pdf,VIPLFaceNet: an open source deep face recognition SDK,2016
144,CASIA Webface,casia_webface,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,99facca6fc50cc30f13b7b6dd49ace24bc94f702,citation,https://arxiv.org/pdf/1609.03892.pdf,VIPLFaceNet: an open source deep face recognition SDK,2016
145,CASIA Webface,casia_webface,25.01682835,121.53846924,National Taiwan University,edu,b50edfea790f86373407a964b4255bf8e436d377,citation,http://doi.acm.org/10.1145/3136755.3143008,Group emotion recognition with individual facial emotion CNNs and global image based CNNs,2017
146,CASIA Webface,casia_webface,1.2962018,103.77689944,National University of Singapore,edu,c17c7b201cfd0bcd75441afeaa734544c6ca3416,citation,https://doi.org/10.1109/TCSVT.2016.2587389,Layerwise Class-Aware Convolutional Neural Network,2017
147,CASIA Webface,casia_webface,32.0575279,118.78682252,Southeast University,edu,c17c7b201cfd0bcd75441afeaa734544c6ca3416,citation,https://doi.org/10.1109/TCSVT.2016.2587389,Layerwise Class-Aware Convolutional Neural Network,2017
148,CASIA Webface,casia_webface,22.3386304,114.2620337,Hong Kong University of Science and Technology,edu,585260468d023ffc95f0e539c3fa87254c28510b,citation,http://pdfs.semanticscholar.org/5852/60468d023ffc95f0e539c3fa87254c28510b.pdf,Cardea: Context-Aware Visual Privacy Protection from Pervasive Cameras,2016
149,CASIA Webface,casia_webface,39.65404635,-79.96475355,West Virginia University,edu,3b9b200e76a35178da940279d566bbb7dfebb787,citation,http://pdfs.semanticscholar.org/3b9b/200e76a35178da940279d566bbb7dfebb787.pdf,Learning Channel Inter-dependencies at Multiple Scales on Dense Networks for Face Recognition,2017
150,CASIA Webface,casia_webface,39.65404635,-79.96475355,West Virginia University,edu,8bfada57140aa1aa22a575e960c2a71140083293,citation,http://pdfs.semanticscholar.org/8bfa/da57140aa1aa22a575e960c2a71140083293.pdf,Can we match Ultraviolet Face Images against their Visible Counterparts?,2015
151,CASIA Webface,casia_webface,40.0044795,116.370238,Chinese Academy of Sciences,edu,72a7eb68f0955564e1ceafa75aeeb6b5bbb14e7e,citation,https://pdfs.semanticscholar.org/72a7/eb68f0955564e1ceafa75aeeb6b5bbb14e7e.pdf,Face Recognition with Contrastive Convolution,2018
152,CASIA Webface,casia_webface,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,72a7eb68f0955564e1ceafa75aeeb6b5bbb14e7e,citation,https://pdfs.semanticscholar.org/72a7/eb68f0955564e1ceafa75aeeb6b5bbb14e7e.pdf,Face Recognition with Contrastive Convolution,2018
153,CASIA Webface,casia_webface,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,44b827df6c433ca49bcf44f9f3ebfdc0774ee952,citation,https://doi.org/10.1109/LSP.2017.2726105,Deep Correlation Feature Learning for Face Verification in the Wild,2017
154,CASIA Webface,casia_webface,22.42031295,114.20788644,Chinese University of Hong Kong,edu,58d76380d194248b3bb291b8c7c5137a0a376897,citation,https://pdfs.semanticscholar.org/58d7/6380d194248b3bb291b8c7c5137a0a376897.pdf,FaceID-GAN : Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis,2018
155,CASIA Webface,casia_webface,22.59805605,113.98533784,Shenzhen Institutes of Advanced Technology,edu,58d76380d194248b3bb291b8c7c5137a0a376897,citation,https://pdfs.semanticscholar.org/58d7/6380d194248b3bb291b8c7c5137a0a376897.pdf,FaceID-GAN : Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis,2018
156,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,b6f758be954d34817d4ebaa22b30c63a4b8ddb35,citation,http://arxiv.org/abs/1703.04835,A Proximity-Aware Hierarchical Clustering of Faces,2017
157,CASIA Webface,casia_webface,28.2290209,112.99483204,"National University of Defense Technology, China",edu,511a8cdf2127ef8aa07cbdf9660fe9e0e2dfbde7,citation,https://pdfs.semanticscholar.org/511a/8cdf2127ef8aa07cbdf9660fe9e0e2dfbde7.pdf,A Community Detection Approach to Cleaning Extremely Large Face Database,2018
158,CASIA Webface,casia_webface,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,cdef0eaff4a3c168290d238999fc066ebc3a93e8,citation,https://arxiv.org/pdf/1707.07391.pdf,Contrastive-center loss for deep neural networks,2017
159,CASIA Webface,casia_webface,30.2810654,120.02139087,"Alibaba Group, Hangzhou, China",edu,1e62ca5845a6f0492574a5da049e9b43dbeadb1b,citation,https://doi.org/10.1109/LSP.2016.2637400,Cross-Modality Face Recognition via Heterogeneous Joint Bayesian,2017
160,CASIA Webface,casia_webface,40.0044795,116.370238,Chinese Academy of Sciences,edu,1e62ca5845a6f0492574a5da049e9b43dbeadb1b,citation,https://doi.org/10.1109/LSP.2016.2637400,Cross-Modality Face Recognition via Heterogeneous Joint Bayesian,2017
161,CASIA Webface,casia_webface,47.6543238,-122.30800894,University of Washington,edu,96e0cfcd81cdeb8282e29ef9ec9962b125f379b0,citation,http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.527,The MegaFace Benchmark: 1 Million Faces for Recognition at Scale,2016
162,CASIA Webface,casia_webface,40.9153196,-73.1270626,Stony Brook University,edu,40883844c1ceab95cb92498a92bfdf45beaa288e,citation,https://arxiv.org/pdf/1709.02848.pdf,Improving Heterogeneous Face Recognition with Conditional Adversarial Networks,2017
163,CASIA Webface,casia_webface,51.7534538,-1.25400997,University of Oxford,edu,8ec82da82416bb8da8cdf2140c740e1574eaf84f,citation,http://pdfs.semanticscholar.org/8ec8/2da82416bb8da8cdf2140c740e1574eaf84f.pdf,Lip Reading in Profile,2017
164,CASIA Webface,casia_webface,35.9042272,-78.85565763,"IBM Research, North Carolina",company,61efeb64e8431cfbafa4b02eb76bf0c58e61a0fa,citation,https://arxiv.org/pdf/1809.01604.pdf,Merging datasets through deep learning,2018
165,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,a8748a79e8d37e395354ba7a8b3038468cb37e1f,citation,http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.47,Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition,2016
166,CASIA Webface,casia_webface,39.65404635,-79.96475355,West Virginia University,edu,a8748a79e8d37e395354ba7a8b3038468cb37e1f,citation,http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.47,Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition,2016
167,CASIA Webface,casia_webface,37.3936717,-122.0807262,Facebook,company,628a3f027b7646f398c68a680add48c7969ab1d9,citation,https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf,Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition,2017
168,CASIA Webface,casia_webface,38.88140235,121.52281098,Dalian University of Technology,edu,052f994898c79529955917f3dfc5181586282cf8,citation,https://arxiv.org/pdf/1708.02191.pdf,Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos,2017
169,CASIA Webface,casia_webface,37.4102193,-122.05965487,Carnegie Mellon University,edu,d35534f3f59631951011539da2fe83f2844ca245,citation,https://arxiv.org/pdf/1705.07904.pdf,Semantically Decomposing the Latent Spaces of Generative Adversarial Networks,2017
170,CASIA Webface,casia_webface,37.43131385,-122.16936535,Stanford University,edu,d35534f3f59631951011539da2fe83f2844ca245,citation,https://arxiv.org/pdf/1705.07904.pdf,Semantically Decomposing the Latent Spaces of Generative Adversarial Networks,2017
171,CASIA Webface,casia_webface,32.87935255,-117.23110049,"University of California, San Diego",edu,d35534f3f59631951011539da2fe83f2844ca245,citation,https://arxiv.org/pdf/1705.07904.pdf,Semantically Decomposing the Latent Spaces of Generative Adversarial Networks,2017
172,CASIA Webface,casia_webface,23.0502042,113.39880323,South China University of Technology,edu,6880013eb0b91a2b334e0be0dced0a1a79943469,citation,https://arxiv.org/pdf/1810.11809.pdf,Discrimination-aware Channel Pruning for Deep Neural Networks,2018
173,CASIA Webface,casia_webface,32.7283683,-97.11201835,University of Texas at Arlington,edu,6880013eb0b91a2b334e0be0dced0a1a79943469,citation,https://arxiv.org/pdf/1810.11809.pdf,Discrimination-aware Channel Pruning for Deep Neural Networks,2018
174,CASIA Webface,casia_webface,39.65404635,-79.96475355,West Virginia University,edu,9fb93b7c2bae866608f26c4254e5bd69cc5031d6,citation,https://arxiv.org/pdf/1809.08999.pdf,Fast Geometrically-Perturbed Adversarial Faces,2018
175,CASIA Webface,casia_webface,32.1638824,34.8115862,FDNA Israel,company,92de9a54515f4ac8cc8e4e6b0dfab20e5e6bb09d,citation,https://doi.org/10.1109/ICIP.2016.7533062,Quality scores for deep regression systems,2016
176,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,2d748f8ee023a5b1fbd50294d176981ded4ad4ee,citation,http://pdfs.semanticscholar.org/2d74/8f8ee023a5b1fbd50294d176981ded4ad4ee.pdf,Triplet Similarity Embedding for Face Verification,2016
177,CASIA Webface,casia_webface,40.51865195,-74.44099801,State University of New Jersey,edu,5495e224ac7b45b9edc5cfeabbb754d8a40a879b,citation,http://pdfs.semanticscholar.org/5495/e224ac7b45b9edc5cfeabbb754d8a40a879b.pdf,Feature Reconstruction Disentangling for Pose-invariant Face Recognition Supplementary Material,2017
178,CASIA Webface,casia_webface,32.87935255,-117.23110049,"University of California, San Diego",edu,5495e224ac7b45b9edc5cfeabbb754d8a40a879b,citation,http://pdfs.semanticscholar.org/5495/e224ac7b45b9edc5cfeabbb754d8a40a879b.pdf,Feature Reconstruction Disentangling for Pose-invariant Face Recognition Supplementary Material,2017
179,CASIA Webface,casia_webface,42.718568,-84.47791571,Michigan State University,edu,cd55fb30737625e86454a2861302b96833ed549d,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139094,Annotating Unconstrained Face Imagery: A scalable approach,2015
180,CASIA Webface,casia_webface,38.95187,-77.363259,"Noblis, Falls Church, VA, U.S.A.",company,cd55fb30737625e86454a2861302b96833ed549d,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139094,Annotating Unconstrained Face Imagery: A scalable approach,2015
181,CASIA Webface,casia_webface,22.2081469,114.25964115,University of Hong Kong,edu,7ffef9f26c39377ee937d29b8990580266a7a8a5,citation,https://arxiv.org/pdf/1810.06951.pdf,Deep Metric Learning with Hierarchical Triplet Loss,2018
182,CASIA Webface,casia_webface,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,565f7c767e6b150ebda491e04e6b1de759fda2d4,citation,https://doi.org/10.1016/j.patcog.2016.11.023,"Fine-grained face verification: FGLFW database, baselines, and human-DCMN partnership",2017
183,CASIA Webface,casia_webface,1.3484104,103.68297965,Nanyang Technological University,edu,0d8cec1b3f9b6e25d9d31eeb54d8894a1f2ef84f,citation,https://doi.org/10.1109/LSP.2018.2810121,Deep Coupled ResNet for Low-Resolution Face Recognition,2018
184,CASIA Webface,casia_webface,31.30104395,121.50045497,Fudan University,edu,862d17895fe822f7111e737cbcdd042ba04377e8,citation,http://pdfs.semanticscholar.org/862d/17895fe822f7111e737cbcdd042ba04377e8.pdf,Semi-Latent GAN: Learning to generate and modify facial images from attributes,2017
185,CASIA Webface,casia_webface,42.718568,-84.47791571,Michigan State University,edu,4b605e6a9362485bfe69950432fa1f896e7d19bf,citation,http://biometrics.cse.msu.edu/Publications/Face/BlantonAllenMillerKalkaJain_CVPRWB2016_HID.pdf,A Comparison of Human and Automated Face Verification Accuracy on Unconstrained Image Sets,2016
186,CASIA Webface,casia_webface,39.9586652,116.30971281,Beijing Institute of Technology,edu,14d72dc9f78d65534c68c3ed57305f14bd4b5753,citation,http://openaccess.thecvf.com/content_ICCV_2017/papers/Yan_Exploiting_Multi-Grain_Ranking_ICCV_2017_paper.pdf,Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles,2017
187,CASIA Webface,casia_webface,39.9922379,116.30393816,Peking University,edu,14d72dc9f78d65534c68c3ed57305f14bd4b5753,citation,http://openaccess.thecvf.com/content_ICCV_2017/papers/Yan_Exploiting_Multi-Grain_Ranking_ICCV_2017_paper.pdf,Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles,2017
188,CASIA Webface,casia_webface,35.0274996,135.78154513,University of Caen,edu,0ad8149318912b5449085187eb3521786a37bc78,citation,http://arxiv.org/abs/1604.02975,CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval,2016
189,CASIA Webface,casia_webface,1.3484104,103.68297965,Nanyang Technological University,edu,47190d213caef85e8b9dd0d271dbadc29ed0a953,citation,https://arxiv.org/pdf/1807.11649.pdf,The Devil of Face Recognition is in the Noise,2018
190,CASIA Webface,casia_webface,32.87935255,-117.23110049,"University of California, San Diego",edu,47190d213caef85e8b9dd0d271dbadc29ed0a953,citation,https://arxiv.org/pdf/1807.11649.pdf,The Devil of Face Recognition is in the Noise,2018
191,CASIA Webface,casia_webface,31.30104395,121.50045497,Fudan University,edu,c5e37630d0672e4d44f7dee83ac2c1528be41c2e,citation,http://dl.acm.org/citation.cfm?id=3078973,Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction,2017
192,CASIA Webface,casia_webface,40.0044795,116.370238,Chinese Academy of Sciences,edu,3661a34f302883c759b9fa2ce03de0c7173d2bb2,citation,http://pdfs.semanticscholar.org/fd6d/14fb0bbca58e924c504d7dc57cb7f8d3707e.pdf,Peak-Piloted Deep Network for Facial Expression Recognition,2016
193,CASIA Webface,casia_webface,1.2962018,103.77689944,National University of Singapore,edu,3661a34f302883c759b9fa2ce03de0c7173d2bb2,citation,http://pdfs.semanticscholar.org/fd6d/14fb0bbca58e924c504d7dc57cb7f8d3707e.pdf,Peak-Piloted Deep Network for Facial Expression Recognition,2016
194,CASIA Webface,casia_webface,39.329053,-76.619425,Johns Hopkins University,edu,2594a77a3f0dd5073f79ba620e2f287804cec630,citation,https://arxiv.org/pdf/1702.06925v1.pdf,Regularizing face verification nets for pain intensity regression,2017
195,CASIA Webface,casia_webface,40.00229045,116.32098908,Tsinghua University,edu,2594a77a3f0dd5073f79ba620e2f287804cec630,citation,https://arxiv.org/pdf/1702.06925v1.pdf,Regularizing face verification nets for pain intensity regression,2017
196,CASIA Webface,casia_webface,41.70456775,-86.23822026,University of Notre Dame,edu,987a649cb33302c41412419f8eeb77048aa5513e,citation,https://arxiv.org/pdf/1803.07140.pdf,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,2018
197,CASIA Webface,casia_webface,42.36782045,-71.12666653,Harvard University,edu,987a649cb33302c41412419f8eeb77048aa5513e,citation,https://arxiv.org/pdf/1803.07140.pdf,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,2018
198,CASIA Webface,casia_webface,43.614386,7.071125,EURECOM,edu,70569810e46f476515fce80a602a210f8d9a2b95,citation,http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.105,Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models,2016
199,CASIA Webface,casia_webface,33.776033,-84.39884086,Georgia Institute of Technology,edu,93af36da08bf99e68c9b0d36e141ed8154455ac2,citation,https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf,A Dditive M Argin S Oftmax for F Ace V Erification,2018
200,CASIA Webface,casia_webface,40.0141905,-83.0309143,University of Electronic Science and Technology of China,edu,93af36da08bf99e68c9b0d36e141ed8154455ac2,citation,https://pdfs.semanticscholar.org/93af/36da08bf99e68c9b0d36e141ed8154455ac2.pdf,A Dditive M Argin S Oftmax for F Ace V Erification,2018
201,CASIA Webface,casia_webface,31.30104395,121.50045497,Fudan University,edu,5a259f2f5337435f841d39dada832ab24e7b3325,citation,http://doi.acm.org/10.1145/2964284.2984059,Face Recognition via Active Annotation and Learning,2016
202,CASIA Webface,casia_webface,40.0044795,116.370238,Chinese Academy of Sciences,edu,5a259f2f5337435f841d39dada832ab24e7b3325,citation,http://doi.acm.org/10.1145/2964284.2984059,Face Recognition via Active Annotation and Learning,2016
203,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,100105d6c97b23059f7aa70589ead2f61969fbc3,citation,http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558,Frontal to profile face verification in the wild,2016
204,CASIA Webface,casia_webface,40.51865195,-74.44099801,State University of New Jersey,edu,100105d6c97b23059f7aa70589ead2f61969fbc3,citation,http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477558,Frontal to profile face verification in the wild,2016
205,CASIA Webface,casia_webface,22.46221665,91.96942263,Chittagong University of Engineering and Technology,edu,eed93d2e16b55142b3260d268c9e72099c53d5bc,citation,https://arxiv.org/pdf/1801.01262.pdf,ICFVR 2017: 3rd international competition on finger vein recognition,2017
206,CASIA Webface,casia_webface,39.9922379,116.30393816,Peking University,edu,eed93d2e16b55142b3260d268c9e72099c53d5bc,citation,https://arxiv.org/pdf/1801.01262.pdf,ICFVR 2017: 3rd international competition on finger vein recognition,2017
207,CASIA Webface,casia_webface,37.4102193,-122.05965487,Carnegie Mellon University,edu,eb8519cec0d7a781923f68fdca0891713cb81163,citation,https://arxiv.org/pdf/1703.08617.pdf,Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition,2017
208,CASIA Webface,casia_webface,45.57022705,-122.63709346,Concordia University,edu,eb8519cec0d7a781923f68fdca0891713cb81163,citation,https://arxiv.org/pdf/1703.08617.pdf,Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition,2017
209,CASIA Webface,casia_webface,30.642769,104.06751175,"Sichuan University, Chengdu",edu,8d955b025495522e67e8cb6e29436001ebbd0abb,citation,https://arxiv.org/pdf/1803.11366.pdf,Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition,2018
210,CASIA Webface,casia_webface,42.718568,-84.47791571,Michigan State University,edu,8d955b025495522e67e8cb6e29436001ebbd0abb,citation,https://arxiv.org/pdf/1803.11366.pdf,Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition,2018
211,CASIA Webface,casia_webface,23.09461185,113.28788994,Sun Yat-Sen University,edu,c92e36689ef561df726a7ae861d9c166c3934908,citation,https://doi.org/10.1109/ICPR.2016.7900140,Face hallucination by deep traversal network,2016
212,CASIA Webface,casia_webface,22.42031295,114.20788644,Chinese University of Hong Kong,edu,2296d79753118cfcd0fecefece301557f4cb66e2,citation,https://arxiv.org/pdf/1804.03487.pdf,Exploring Disentangled Feature Representation Beyond Face Identification,2018
213,CASIA Webface,casia_webface,39.993008,116.329882,SenseTime,company,2296d79753118cfcd0fecefece301557f4cb66e2,citation,https://arxiv.org/pdf/1804.03487.pdf,Exploring Disentangled Feature Representation Beyond Face Identification,2018
214,CASIA Webface,casia_webface,40.51865195,-74.44099801,State University of New Jersey,edu,02820c1491b10a1ff486fed32c269e4077c36551,citation,https://arxiv.org/pdf/1610.07930v1.pdf,Active user authentication for smartphones: A challenge data set and benchmark results,2016
215,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,02820c1491b10a1ff486fed32c269e4077c36551,citation,https://arxiv.org/pdf/1610.07930v1.pdf,Active user authentication for smartphones: A challenge data set and benchmark results,2016
216,CASIA Webface,casia_webface,42.718568,-84.47791571,Michigan State University,edu,486c9a0e5eb1e0bf107c31c2bf9689b25e18383b,citation,https://arxiv.org/pdf/1804.08790.pdf,Face Recognition: Primates in the Wild,2018
217,CASIA Webface,casia_webface,38.8920756,-104.79716389,"University of Colorado, Colorado Springs",edu,d4f1eb008eb80595bcfdac368e23ae9754e1e745,citation,https://arxiv.org/pdf/1708.02337.pdf,Unconstrained Face Detection and Open-Set Face Recognition Challenge,2017
218,CASIA Webface,casia_webface,40.8419836,-73.94368971,Columbia University,edu,61f93ed515b3bfac822deed348d9e21d5dffe373,citation,http://dvmmweb.cs.columbia.edu/files/set_hash_wacv17.pdf,Deep Image Set Hashing,2017
219,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,19458454308a9f56b7de76bf7d8ff8eaa52b0173,citation,https://pdfs.semanticscholar.org/1945/8454308a9f56b7de76bf7d8ff8eaa52b0173.pdf,Deep Features for Recognizing Disguised Faces in the Wild,0
220,CASIA Webface,casia_webface,41.10427915,29.02231159,Istanbul Technical University,edu,7fb7ccc1aa093ca526f2d8b6f2c404d2c886f69a,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404767,A multi-view face database from Turkish TV series,2018
221,CASIA Webface,casia_webface,39.9922379,116.30393816,Peking University,edu,26973cf1552250f402c82e9a4445f03fe6757b58,citation,http://doi.acm.org/10.1145/3126686.3130239,Surveillance Video Quality Assessment Based on Face Recognition,2017
222,CASIA Webface,casia_webface,52.17638955,0.14308882,University of Cambridge,edu,dd471f321ead8b405da6194057b2778ef3db7ea7,citation,https://pdfs.semanticscholar.org/dd47/1f321ead8b405da6194057b2778ef3db7ea7.pdf,Multi-Task Adversarial Network for Disentangled Feature Learning,2018
223,CASIA Webface,casia_webface,40.786127,29.4456329,Bilişim Technology Instititute,edu,55266ddbe9d5366e8cd1b0b645971cad6d12157a,citation,https://doi.org/10.1109/SIU.2017.7960368,Face recognition classifier based on dimension reduction in deep learning properties,2017
224,CASIA Webface,casia_webface,42.718568,-84.47791571,Michigan State University,edu,7fb5006b6522436ece5bedf509e79bdb7b79c9a7,citation,https://pdfs.semanticscholar.org/7fb5/006b6522436ece5bedf509e79bdb7b79c9a7.pdf,Multi-Task Convolutional Neural Network for Face Recognition,2017
225,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,93420d9212dd15b3ef37f566e4d57e76bb2fab2f,citation,https://arxiv.org/pdf/1611.00851.pdf,An All-In-One Convolutional Neural Network for Face Analysis,2017
226,CASIA Webface,casia_webface,59.34986645,18.07063213,"KTH Royal Institute of Technology, Stockholm",edu,1ed49161e58559be399ce7092569c19ddd39ca0b,citation,https://doi.org/10.1109/ICPR.2016.7899973,Transferring from face recognition to face attribute prediction through adaptive selection of off-the-shelf CNN representations,2016
227,CASIA Webface,casia_webface,37.4102193,-122.05965487,Carnegie Mellon University,edu,82e66c4832386cafcec16b92ac88088ffd1a1bc9,citation,http://pdfs.semanticscholar.org/82e6/6c4832386cafcec16b92ac88088ffd1a1bc9.pdf,OpenFace: A general-purpose face recognition library with mobile applications,2016
228,CASIA Webface,casia_webface,52.4004837,16.95158083,Poznan University of Technology,edu,82e66c4832386cafcec16b92ac88088ffd1a1bc9,citation,http://pdfs.semanticscholar.org/82e6/6c4832386cafcec16b92ac88088ffd1a1bc9.pdf,OpenFace: A general-purpose face recognition library with mobile applications,2016
229,CASIA Webface,casia_webface,40.9153196,-73.1270626,Stony Brook University,edu,6fbb179a4ad39790f4558dd32316b9f2818cd106,citation,http://pdfs.semanticscholar.org/6fbb/179a4ad39790f4558dd32316b9f2818cd106.pdf,Input Aggregated Network for Face Video Representation,2016
230,CASIA Webface,casia_webface,46.109237,7.08453549,IDIAP Research Institute,edu,b4e889af57295dff9498ba476893a359a91b8a3e,citation,https://arxiv.org/pdf/1707.02749.pdf,Improving Speaker Turn Embedding by Crossmodal Transfer Learning from Face Embedding,2017
231,CASIA Webface,casia_webface,30.5097537,114.4062881,Huazhong University of Science and Technology,edu,5f448ab700528888019542e6fea1d1e0db6c35f2,citation,https://doi.org/10.1109/LSP.2016.2533721,Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization,2016
232,CASIA Webface,casia_webface,40.51865195,-74.44099801,State University of New Jersey,edu,438c4b320b9a94a939af21061b4502f4a86960e3,citation,https://arxiv.org/pdf/1702.03041.pdf,Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition,2017
233,CASIA Webface,casia_webface,32.87935255,-117.23110049,"University of California, San Diego",edu,438c4b320b9a94a939af21061b4502f4a86960e3,citation,https://arxiv.org/pdf/1702.03041.pdf,Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition,2017
234,CASIA Webface,casia_webface,39.94976005,116.33629046,Beijing Jiaotong University,edu,d7cbedbee06293e78661335c7dd9059c70143a28,citation,https://arxiv.org/pdf/1804.07573.pdf,MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices,2018
235,CASIA Webface,casia_webface,58.38131405,26.72078081,University of Tartu,edu,81695fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f,citation,http://pdfs.semanticscholar.org/8169/5fbbbea2972d7ab1bfb1f3a6a0dbd3475c0f.pdf,Comparison of Face Recognition Neural Networks,0
236,CASIA Webface,casia_webface,30.642769,104.06751175,"Sichuan University, Chengdu",edu,1afef6b389bd727c566cd6fbcd99adefe4c0cf32,citation,https://doi.org/10.1109/ICB.2016.7550087,Towards resolution invariant face recognition in uncontrolled scenarios,2016
237,CASIA Webface,casia_webface,39.65404635,-79.96475355,West Virginia University,edu,a75dfb5a839f0eb4b613d150f54a418b7812aa90,citation,http://arxiv.org/abs/1708.02314,Multibiometric secure system based on deep learning,2017
238,CASIA Webface,casia_webface,30.642769,104.06751175,"Sichuan University, Chengdu",edu,23ecc496eaa238ac884e6bae5763f6138a9c90a3,citation,https://doi.org/10.1109/ICB.2016.7550085,Discriminative Feature Adaptation for cross-domain facial expression recognition,2016
239,CASIA Webface,casia_webface,53.21967825,6.56251482,University of Groningen,edu,8efda5708bbcf658d4f567e3866e3549fe045bbb,citation,http://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf,Pre-trained Deep Convolutional Neural Networks for Face Recognition,2018
240,CASIA Webface,casia_webface,-27.49741805,153.01316956,University of Queensland,edu,3c563542db664321aa77a9567c1601f425500f94,citation,https://arxiv.org/pdf/1712.02514.pdf,TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition,2018
241,CASIA Webface,casia_webface,30.642769,104.06751175,"Sichuan University, Chengdu",edu,772474b5b0c90629f4d9c223fd9c1ef45e1b1e66,citation,https://doi.org/10.1109/BTAS.2017.8272716,Multi-dim: A multi-dimensional face database towards the application of 3D technology in real-world scenarios,2017
242,CASIA Webface,casia_webface,34.0224149,-118.28634407,University of Southern California,edu,4e7ed13e541b8ed868480375785005d33530e06d,citation,http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477555,Face recognition using deep multi-pose representations,2016
243,CASIA Webface,casia_webface,42.718568,-84.47791571,Michigan State University,edu,02467703b6e087799e04e321bea3a4c354c5487d,citation,http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.27,Grouper: Optimizing Crowdsourced Face Annotations,2016
244,CASIA Webface,casia_webface,51.24303255,-0.59001382,University of Surrey,edu,7224d58a7e1f02b84994b60dc3b84d9fe6941ff5,citation,https://arxiv.org/pdf/1504.02351.pdf,When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition,2015
245,CASIA Webface,casia_webface,51.5247272,-0.03931035,Queen Mary University of London,edu,7224d58a7e1f02b84994b60dc3b84d9fe6941ff5,citation,https://arxiv.org/pdf/1504.02351.pdf,When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition,2015
246,CASIA Webface,casia_webface,23.09461185,113.28788994,Sun Yat-Sen University,edu,39f525f3a0475e6bbfbe781ae3a74aca5b401125,citation,http://pdfs.semanticscholar.org/39f5/25f3a0475e6bbfbe781ae3a74aca5b401125.pdf,Deep Joint Face Hallucination and Recognition,2016
247,CASIA Webface,casia_webface,34.2474949,108.97898751,Xi'an Jiaotong University,edu,a4bb791b135bdc721c8fcc5bdef612ca654d7377,citation,https://doi.org/10.1109/BTAS.2017.8272703,Location-sensitive sparse representation of deep normal patterns for expression-robust 3D face recognition,2017
248,CASIA Webface,casia_webface,29.7207902,-95.34406271,University of Houston,edu,3cb2841302af1fb9656f144abc79d4f3d0b27380,citation,https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf,When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition,2017
249,CASIA Webface,casia_webface,34.0224149,-118.28634407,University of Southern California,edu,d28d32af7ef9889ef9cb877345a90ea85e70f7f1,citation,http://doi.ieeecomputersociety.org/10.1109/FG.2017.84,Local-Global Landmark Confidences for Face Recognition,2017
250,CASIA Webface,casia_webface,37.4102193,-122.05965487,Carnegie Mellon University,edu,d28d32af7ef9889ef9cb877345a90ea85e70f7f1,citation,http://doi.ieeecomputersociety.org/10.1109/FG.2017.84,Local-Global Landmark Confidences for Face Recognition,2017
251,CASIA Webface,casia_webface,39.87391435,116.47722285,Beijing University of Technology,edu,f1d6da83dcf71eda45a56a86c5ae13e7f45a8536,citation,https://doi.org/10.1109/ACCESS.2017.2737544,A Secure Face-Verification Scheme Based on Homomorphic Encryption and Deep Neural Networks,2017
252,CASIA Webface,casia_webface,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,68e6cfb0d7423d3fae579919046639c8e2d04ad7,citation,https://doi.org/10.1109/ICB.2016.7550058,Multi-task ConvNet for blind face inpainting with application to face verification,2016
253,CASIA Webface,casia_webface,-32.00686365,115.89691775,Curtin University,edu,e9a5a38e7da3f0aa5d21499149536199f2e0e1f7,citation,https://pdfs.semanticscholar.org/e9a5/a38e7da3f0aa5d21499149536199f2e0e1f7.pdf,A Bayesian Scene-Prior-Based Deep Network Model for Face Verification,2018
254,CASIA Webface,casia_webface,42.718568,-84.47791571,Michigan State University,edu,82eff71af91df2ca18aebb7f1153a7aed16ae7cc,citation,https://pdfs.semanticscholar.org/82ef/f71af91df2ca18aebb7f1153a7aed16ae7cc.pdf,MSU-AVIS dataset : Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos,2018
255,CASIA Webface,casia_webface,36.3697191,127.362537,Korea Advanced Institute of Science and Technology,edu,cb27b45329d61f5f95ed213798d4b2a615e76be2,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236,Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion,2018
256,CASIA Webface,casia_webface,37.2520226,127.0555019,"Samsung SAIT, Korea",company,cb27b45329d61f5f95ed213798d4b2a615e76be2,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236,Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion,2018
257,CASIA Webface,casia_webface,40.00229045,116.32098908,Tsinghua University,edu,f5eb0cf9c57716618fab8e24e841f9536057a28a,citation,https://arxiv.org/pdf/1803.02988.pdf,Rethinking Feature Distribution for Loss Functions in Image Classification,2018
258,CASIA Webface,casia_webface,40.00229045,116.32098908,Tsinghua University,edu,2149d49c84a83848d6051867290d9c8bfcef0edb,citation,https://doi.org/10.1109/TIFS.2017.2746062,Label-Sensitive Deep Metric Learning for Facial Age Estimation,2018
259,CASIA Webface,casia_webface,22.59805605,113.98533784,Shenzhen Institutes of Advanced Technology,edu,4cfd770ccecae1c0b4248bc800d7fd35c817bbbd,citation,https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf,A Discriminative Feature Learning Approach for Deep Face Recognition,2016
260,CASIA Webface,casia_webface,22.42031295,114.20788644,Chinese University of Hong Kong,edu,4cfd770ccecae1c0b4248bc800d7fd35c817bbbd,citation,https://pdfs.semanticscholar.org/8774/e206564df3bf9050f8c2be6b434cc2469c5b.pdf,A Discriminative Feature Learning Approach for Deep Face Recognition,2016
261,CASIA Webface,casia_webface,37.4102193,-122.05965487,Carnegie Mellon University,edu,2679e4f84c5e773cae31cef158eb358af475e22f,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Liu_Adaptive_Deep_Metric_CVPR_2017_paper.pdf,Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition,2017
262,CASIA Webface,casia_webface,22.304572,114.17976285,Hong Kong Polytechnic University,edu,2679e4f84c5e773cae31cef158eb358af475e22f,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Liu_Adaptive_Deep_Metric_CVPR_2017_paper.pdf,Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition,2017
263,CASIA Webface,casia_webface,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,2679e4f84c5e773cae31cef158eb358af475e22f,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Liu_Adaptive_Deep_Metric_CVPR_2017_paper.pdf,Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition,2017
264,CASIA Webface,casia_webface,51.24303255,-0.59001382,University of Surrey,edu,9103148dd87e6ff9fba28509f3b265e1873166c9,citation,http://pdfs.semanticscholar.org/9103/148dd87e6ff9fba28509f3b265e1873166c9.pdf,Face Analysis using 3D Morphable Models,2015
265,CASIA Webface,casia_webface,40.00229045,116.32098908,Tsinghua University,edu,e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7,citation,https://arxiv.org/pdf/1701.07174.pdf,Toward End-to-End Face Recognition Through Alignment Learning,2017
266,CASIA Webface,casia_webface,40.00229045,116.32098908,Tsinghua University,edu,a52a69bf304d49fba6eac6a73c5169834c77042d,citation,https://doi.org/10.1109/LSP.2017.2789251,Margin Loss: Making Faces More Separable,2018
267,CASIA Webface,casia_webface,24.78676765,120.99724412,National Chiao Tung University,edu,15ef65fd68d61f3d47326e358c446b0f054f093a,citation,https://doi.org/10.1109/MLSP.2017.8168180,Learning guided convolutional neural networks for cross-resolution face recognition,2017
268,CASIA Webface,casia_webface,25.0411727,121.6146518,"Academia Sinica, Taiwan",edu,15ef65fd68d61f3d47326e358c446b0f054f093a,citation,https://doi.org/10.1109/MLSP.2017.8168180,Learning guided convolutional neural networks for cross-resolution face recognition,2017
269,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,8d3e95c31c93548b8c71dbeee2e9f7180067a888,citation,https://doi.org/10.1109/ICPR.2016.7899841,Template regularized sparse coding for face verification,2016
270,CASIA Webface,casia_webface,42.8271556,-73.8780481,GE Global Research,company,8d3e95c31c93548b8c71dbeee2e9f7180067a888,citation,https://doi.org/10.1109/ICPR.2016.7899841,Template regularized sparse coding for face verification,2016
271,CASIA Webface,casia_webface,41.70456775,-86.23822026,University of Notre Dame,edu,d6791b98353aa113d79f6fb96335aa6c7ea3b759,citation,https://doi.org/10.1109/TNNLS.2017.2648122,Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning,2018
272,CASIA Webface,casia_webface,41.62772475,-71.00724501,University of Massachusetts Dartmouth,edu,d6791b98353aa113d79f6fb96335aa6c7ea3b759,citation,https://doi.org/10.1109/TNNLS.2017.2648122,Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning,2018
273,CASIA Webface,casia_webface,42.3383668,-71.08793524,Northeastern University,edu,d6791b98353aa113d79f6fb96335aa6c7ea3b759,citation,https://doi.org/10.1109/TNNLS.2017.2648122,Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning,2018
274,CASIA Webface,casia_webface,37.4102193,-122.05965487,Carnegie Mellon University,edu,4d16337cc0431cd43043dfef839ce5f0717c3483,citation,http://pdfs.semanticscholar.org/4d16/337cc0431cd43043dfef839ce5f0717c3483.pdf,A Scalable and Privacy-Aware IoT Service for Live Video Analytics,2017
275,CASIA Webface,casia_webface,25.01353105,121.54173736,National Taiwan University of Science and Technology,edu,e4c3587392d477b7594086c6f28a00a826abf004,citation,https://doi.org/10.1109/ICIP.2017.8296998,Face recognition by facial attribute assisted network,2017
276,CASIA Webface,casia_webface,41.70456775,-86.23822026,University of Notre Dame,edu,df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb,citation,https://arxiv.org/pdf/1704.06693.pdf,SREFI: Synthesis of realistic example face images,2017
277,CASIA Webface,casia_webface,47.6423318,-122.1369302,Microsoft,company,0aebe97a92f590bdf21cdadfddec8061c682cdb2,citation,http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2695183,Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification,2018
278,CASIA Webface,casia_webface,42.718568,-84.47791571,Michigan State University,edu,d29eec5e047560627c16803029d2eb8a4e61da75,citation,http://pdfs.semanticscholar.org/d29e/ec5e047560627c16803029d2eb8a4e61da75.pdf,Feature Transfer Learning for Deep Face Recognition with Long-Tail Data,2018
279,CASIA Webface,casia_webface,40.8419836,-73.94368971,Columbia University,edu,35f03f5cbcc21a9c36c84e858eeb15c5d6722309,citation,http://doi.acm.org/10.1145/2964284.2970929,Placing Broadcast News Videos in their Social Media Context Using Hashtags,2016
280,CASIA Webface,casia_webface,41.10427915,29.02231159,Istanbul Technical University,edu,fd53be2e0a9f33080a9db4b5a5e416e24ae8e198,citation,https://arxiv.org/pdf/1606.02909.pdf,Apparent Age Estimation Using Ensemble of Deep Learning Models,2016
281,CASIA Webface,casia_webface,29.58333105,-98.61944505,University of Texas at San Antonio,edu,7788fa76f1488b1597ee2bebc462f628e659f61e,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8063888,A Privacy-Aware Architecture at the Edge for Autonomous Real-Time Identity Reidentification in Crowds,2018
282,CASIA Webface,casia_webface,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,39c10888a470b92b917788c57a6fd154c97b421c,citation,https://doi.org/10.1109/VCIP.2017.8305036,Joint multi-feature fusion and attribute relationships for facial attribute prediction,2017
283,CASIA Webface,casia_webface,51.49887085,-0.17560797,Imperial College London,edu,40bb090a4e303f11168dce33ed992f51afe02ff7,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf,Marginal Loss for Deep Face Recognition,2017
284,CASIA Webface,casia_webface,31.83907195,117.26420748,University of Science and Technology of China,edu,3107316f243233d45e3c7e5972517d1ed4991f91,citation,http://arxiv.org/abs/1703.10155,CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training,2017
285,CASIA Webface,casia_webface,46.010737,8.958109,University of Lugano,edu,cae41c3d5508f57421faf672ee1bea0da4be66e0,citation,https://doi.org/10.1109/ICPR.2016.7900298,Palmprint recognition via discriminative index learning,2016
286,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,a3201e955d6607d383332f3a12a7befa08c5a18c,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900276,VLAD encoded Deep Convolutional features for unconstrained face verification,2016
287,CASIA Webface,casia_webface,40.47913175,-74.43168868,Rutgers University,edu,a3201e955d6607d383332f3a12a7befa08c5a18c,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7900276,VLAD encoded Deep Convolutional features for unconstrained face verification,2016
288,CASIA Webface,casia_webface,45.7835966,4.7678948,École Centrale de Lyon,edu,486840f4f524e97f692a7f6b42cd19019ee71533,citation,https://arxiv.org/pdf/1703.08388v2.pdf,DeepVisage: Making Face Recognition Simple Yet With Powerful Generalization Skills,2017
289,CASIA Webface,casia_webface,48.832493,2.267474,Safran Identity and Security,company,486840f4f524e97f692a7f6b42cd19019ee71533,citation,https://arxiv.org/pdf/1703.08388v2.pdf,DeepVisage: Making Face Recognition Simple Yet With Powerful Generalization Skills,2017
290,CASIA Webface,casia_webface,32.1119889,34.80459702,Tel Aviv University,edu,2f16baddac6af536451b3216b02d3480fc361ef4,citation,http://cs.nyu.edu/~fergus/teaching/vision/10_facerec.pdf,Web-scale training for face identification,2015
291,CASIA Webface,casia_webface,46.0501558,14.46907327,University of Ljubljana,edu,73f341ff68caa9f8802e9e81bfa90d88bbdbd9d2,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791198,Report on the BTAS 2016 Video Person Recognition Evaluation,2016
292,CASIA Webface,casia_webface,41.70456775,-86.23822026,University of Notre Dame,edu,73f341ff68caa9f8802e9e81bfa90d88bbdbd9d2,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791198,Report on the BTAS 2016 Video Person Recognition Evaluation,2016
293,CASIA Webface,casia_webface,-33.8809651,151.20107299,University of Technology Sydney,edu,73f341ff68caa9f8802e9e81bfa90d88bbdbd9d2,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791198,Report on the BTAS 2016 Video Person Recognition Evaluation,2016
294,CASIA Webface,casia_webface,39.65404635,-79.96475355,West Virginia University,edu,73f341ff68caa9f8802e9e81bfa90d88bbdbd9d2,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791198,Report on the BTAS 2016 Video Person Recognition Evaluation,2016
295,CASIA Webface,casia_webface,31.28473925,121.49694909,Tongji University,edu,fe0cf8eaa5a5f59225197ef1bb8613e603cd96d4,citation,https://pdfs.semanticscholar.org/4e20/8cfff33327863b5aeef0bf9b327798a5610c.pdf,Improved Face Verification with Simple Weighted Feature Combination,2017
296,CASIA Webface,casia_webface,51.49887085,-0.17560797,Imperial College London,edu,c43ed9b34cad1a3976bac7979808eb038d88af84,citation,https://arxiv.org/pdf/1804.03675.pdf,Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model,2018
297,CASIA Webface,casia_webface,51.24303255,-0.59001382,University of Surrey,edu,c43ed9b34cad1a3976bac7979808eb038d88af84,citation,https://arxiv.org/pdf/1804.03675.pdf,Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model,2018
298,CASIA Webface,casia_webface,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,9627f28ea5f4c389350572b15968386d7ce3fe49,citation,https://arxiv.org/pdf/1802.07447.pdf,Load Balanced GANs for Multi-view Face Image Synthesis,2018
299,CASIA Webface,casia_webface,23.09461185,113.28788994,Sun Yat-Sen University,edu,44f48a4b1ef94a9104d063e53bf88a69ff0f55f3,citation,http://pdfs.semanticscholar.org/44f4/8a4b1ef94a9104d063e53bf88a69ff0f55f3.pdf,Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models,2016
300,CASIA Webface,casia_webface,50.7791703,6.06728733,RWTH Aachen University,edu,6ce23cf4f440021b7b05aa3c1c2700cc7560b557,citation,http://pdfs.semanticscholar.org/6ce2/3cf4f440021b7b05aa3c1c2700cc7560b557.pdf,Learning Local Convolutional Features for Face Recognition with 2D-Warping,2016
301,CASIA Webface,casia_webface,17.4454957,78.34854698,International Institute of Information Technology,edu,f5eb411217f729ad7ae84bfd4aeb3dedb850206a,citation,https://pdfs.semanticscholar.org/f5eb/411217f729ad7ae84bfd4aeb3dedb850206a.pdf,Tackling Low Resolution for Better Scene Understanding,2018
302,CASIA Webface,casia_webface,40.47913175,-74.43168868,Rutgers University,edu,92e464a5a67582d5209fa75e3b29de05d82c7c86,citation,https://pdfs.semanticscholar.org/92e4/64a5a67582d5209fa75e3b29de05d82c7c86.pdf,Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition,2017
303,CASIA Webface,casia_webface,34.2474949,108.97898751,Xi'an Jiaotong University,edu,cd2f8d661ea2c6d6818a278eb4f0548751c3b1ae,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7945277,Improving CNN Performance Accuracies With Min–Max Objective,2018
304,CASIA Webface,casia_webface,39.2899685,-76.62196103,University of Maryland,edu,0334a8862634988cc684dacd4279c5c0d03704da,citation,http://arxiv.org/abs/1609.06591,FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition,2017
305,CASIA Webface,casia_webface,40.47913175,-74.43168868,Rutgers University,edu,31f1e711fcf82c855f27396f181bf5e565a2f58d,citation,http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.54,Unconstrained Age Estimation with Deep Convolutional Neural Networks,2015
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