diff options
Diffstat (limited to 'site/datasets/final/aflw.json')
| -rw-r--r-- | site/datasets/final/aflw.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/final/aflw.json b/site/datasets/final/aflw.json index a6118bb7..f51be63b 100644 --- a/site/datasets/final/aflw.json +++ b/site/datasets/final/aflw.json @@ -1 +1 @@ -{"id": "a74251efa970b92925b89eeef50a5e37d9281ad0", "dataset": {"key": "aflw", "name_short": "AFLW", "using": "N", "ft_share": "1", "subset_of": "", "superset_of": "", "name_full": "Annotated Facial Landmarks in the Wild", "url": "https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/", "added_on": "", "faces": "", "pdf_paper": "Y", "comments": "", "": "", "relevance": "10"}, "statistics": {"key": "aflw", "name": "AFLW", "berit": "Y", "charlie": "", "adam": "", "priority": "N", "wild": "Y", "indoor": "", "outdoor": "", "cyberspace": "Y", "names": "", "downloaded": "N", "year_start": "", "year_end": "", "year_published": "2011", "ongoing": "", "images": "25,993 ", "videos": "0 ", "faces_unique": "", "total_faces": "", "img_per_person": "", "num_cameras": "", "faces_persons": "", "female": "15,339 ", "male": "10,657 ", "landmarks": "21 ", "width": "", "height": "", "color": "", "gray": "", "derivative_of": "", "tags": "fd, pose", "source": "flickr", "purpose_short": "detection, pose, fiducials,maye dupe of AFW", "size_gb": "", "agreement": "N", "agree_requied": "", "agreement_signed": "", "comment": "", "comment 2": "", "comment 3": "", "": ""}, "paper": {"paper_id": "a74251efa970b92925b89eeef50a5e37d9281ad0", "key": "aflw", "title": "Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization", "year": "2011", "pdf": ["http://face.cs.kit.edu/befit/workshop2011/pdf/slides/martin_koestinger-slides.pdf", "http://lrs.icg.tugraz.at/pubs/koestinger_befit_11.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/koestinger_befit_11.pdf"], "address": "", "name": "AFLW", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130513", "http://doi.org/10.1109/ICCVW.2011.6130513"]}, "address": null, "additional_papers": [], "citations": [{"id": "a422f2d0212f54807ff678f209293a27c7791ec5", "title": "Adaptive image downsampling preprocessor for artificial neural networks", "addresses": [{"address": "University of Kent", "lat": "51.29753440", "lng": "1.07296165", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "860588fafcc80c823e66429fadd7e816721da42a", "title": "Unsupervised Discovery of Object Landmarks as Structural Representations", "addresses": [{"address": "University of Michigan", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04412.pdf"]}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}, {"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"]}, {"id": "6342a4c54835c1e14159495373ab18b4233d2d9b", "title": "TOWARDS POSE-ROBUST FACE RECOGNITION ON VIDEO", "addresses": [{"address": "Queensland University of Technology", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6342/a4c54835c1e14159495373ab18b4233d2d9b.pdf"]}, {"id": "38183fe28add21693729ddeaf3c8a90a2d5caea3", "title": "Scale-Aware Face Detection", "addresses": [{"address": "SenseTime", "lat": "39.99300800", "lng": "116.32988200", "type": "company"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09876.pdf"]}, {"id": "2c17d36bab56083293456fe14ceff5497cc97d75", "title": "Unconstrained Face Alignment via Cascaded Compositional Learning", "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"}, {"address": "SenseTime", "lat": "39.99300800", "lng": "116.32988200", "type": "company"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhu_Unconstrained_Face_Alignment_CVPR_2016_paper.pdf", "http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2016_unconstrained.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Unconstrained_Face_Alignment_CVPR_2016_paper.pdf"]}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"address": "Graz University of Technology", "lat": "47.05821000", "lng": "15.46019568", "type": "edu"}], "year": "2013", "pdf": []}, {"id": "32ecbbd76fdce249f9109594eee2d52a1cafdfc7", "title": "Object Specific Deep Learning Feature and Its Application to Face Detection", "addresses": [{"address": "University of Nottingham", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu"}, {"address": "Shenzhen University", "lat": "22.53521465", "lng": "113.93159110", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01366.pdf"]}, {"id": "4e6c17966efae956133bf8f22edeffc24a0470c1", "title": "Face Classification: A Specialized Benchmark Study", "addresses": [{"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "Macau University of Science and Technology", "lat": "22.15263985", "lng": "113.56803206", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4e6c/17966efae956133bf8f22edeffc24a0470c1.pdf"]}, {"id": "f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05653.pdf"]}, {"id": "441bf5f7fe7d1a3939d8b200eca9b4bb619449a9", "title": "Head pose estimation in the wild using approximate view manifolds", "addresses": [{"address": "University of Florida", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Sundararajan_Head_Pose_Estimation_2015_CVPR_paper.pdf"]}, {"id": "1ca815327e62c70f4ee619a836e05183ef629567", "title": "Global supervised descent method", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048_ext.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf"]}, {"id": "6495d989fe33b19d2b7755f9077d8b5bf3190151", "title": "Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network", "addresses": [{"address": "Shanghai Jiao Tong University", "lat": "31.20081505", "lng": "121.42840681", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07835.pdf"]}, {"id": "ccebd3bf069f5c73ea2ccc5791976f894bc6023d", "title": "Face detection based on deep convolutional neural networks exploiting incremental facial part learning", "addresses": [{"address": "Aristotle University of Thessaloniki", "lat": "40.62984145", "lng": "22.95889350", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "c146aa6d56233ce700032f1cb179700778557601", "title": "3D Morphable Models as Spatial Transformer Networks", "addresses": [{"address": "University of York", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu"}, {"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07199.pdf"]}, {"id": "438e7999c937b94f0f6384dbeaa3febff6d283b6", "title": "Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}, {"address": "Jiangnan University", "lat": "31.48542550", "lng": "120.27395810", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02402.pdf"]}, {"id": "b1fdd4ae17d82612cefd4e78b690847b071379d3", "title": "Supervised Descent Method", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4fc5/416b6c7173d3462e5be796bda3ad8d5645a1.pdf"]}, {"id": "96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d", "title": "Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}, {"address": "Jiangnan University", "lat": "31.48542550", "lng": "120.27395810", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05396.pdf"]}, {"id": "d3b0839324d0091e70ce34f44c979b9366547327", "title": "Precise Box Score: Extract More Information from Datasets to Improve the Performance of Face Detection", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10743.pdf"]}, {"id": "7caa3a74313f9a7a2dd5b4c2cd7f825d895d3794", "title": "Markov Chain Monte Carlo for Automated Face Image Analysis", "addresses": [{"address": "University of Basel", "lat": "47.56126510", "lng": "7.57529610", "type": "edu"}], "year": "2016", "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": "7117ed0be436c0291bc6fb6ea6db18de74e2464a", "title": "Spatial Transformations", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7117/ed0be436c0291bc6fb6ea6db18de74e2464a.pdf"]}, {"id": "8a3c5507237957d013a0fe0f082cab7f757af6ee", "title": "Facial Landmark Detection by Deep Multi-task Learning", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2014", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/eccv_2014_deepfacealign.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940094.pdf", "http://www.eecs.qmul.ac.uk/~ccloy/files/eccv_2014_deepfacealign.pdf"]}, {"id": "5c8672c0d2f28fd5d2d2c4b9818fcff43fb01a48", "title": "Robust Face Detection by Simple Means", "addresses": [{"address": "Graz University of Technology", "lat": "47.05821000", "lng": "15.46019568", "type": "edu"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5c86/72c0d2f28fd5d2d2c4b9818fcff43fb01a48.pdf"]}, {"id": "5cbe1445d683d605b31377881ac8540e1d17adf0", "title": "On 3D face reconstruction via cascaded regression in shape space", "addresses": [{"address": "Sichuan University, Chengdu", "lat": "30.64276900", "lng": "104.06751175", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.06161.pdf"]}, {"id": "3c6cac7ecf546556d7c6050f7b693a99cc8a57b3", "title": "Robust facial landmark detection in the wild", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3c6c/ac7ecf546556d7c6050f7b693a99cc8a57b3.pdf"]}, {"id": "287de191c49a3caa38ad7594093045dfba1eb420", "title": "Object specific deep feature and its application to face detection", "addresses": [{"address": "Shenzhen University", "lat": "22.53521465", "lng": "113.93159110", "type": "edu"}, {"address": "University of Nottingham", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "2f04ba0f74df046b0080ca78e56898bd4847898b", "title": "Aggregate channel features for multi-view face detection", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4023.pdf"]}, {"id": "4f36c14d1453fc9d6481b09c5a09e91d8d9ee47a", "title": "Video-Based Face Recognition Using the Intra / Extra-Personal Difference Dictionary", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "University of Maryland College Park", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4f36/c14d1453fc9d6481b09c5a09e91d8d9ee47a.pdf"]}, {"id": "e4e07f5f201c6986e93ddb42dcf11a43c339ea2e", "title": "Cross-pose landmark localization using multi-dropout framework", "addresses": [{"address": "National Taiwan University of Science and Technology", "lat": "25.01353105", "lng": "121.54173736", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "1606b1475e125bba1b2d87bcf1e33b06f42c5f0d", "title": "A convolutional neural network cascade for face detection", "addresses": [{"address": "Stevens Institute of Technology", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu"}], "year": "2015", "pdf": ["http://personal.stevens.edu/~hli18/papers/CVPR2015_CasCNN.pdf", "http://soc.fudan.edu.cn/vip/attachments/download/3893/CVPR2015-A-Convolutional-Neural-Network-Cascade-for-Face-Detection.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2015_cascnn.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_096.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_096_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_096_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Li_A_Convolutional_Neural_2015_CVPR_paper.pdf"]}, {"id": "a1e07c31184d3728e009d4d1bebe21bf9fe95c8e", "title": "On looking at faces in an automobile: Issues, algorithms and evaluation on naturalistic driving dataset", "addresses": [{"address": "University of California, San Diego", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediICPR2016.pdf"]}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}, {"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"]}, {"id": "04661729f0ff6afe4b4d6223f18d0da1d479accf", "title": "From Facial Parts Responses to Face Detection: A Deep Learning Approach", "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/1509.06451.pdf"]}, {"id": "185263189a30986e31566394680d6d16b0089772", "title": "Efficient Annotation of Objects for Video Analysis", "addresses": [{"address": "International Institute of Information Technology", "lat": "17.44549570", "lng": "78.34854698", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1852/63189a30986e31566394680d6d16b0089772.pdf"]}, {"id": "136f92989e982ecf795cb27d65b48464eaec9323", "title": "Joint face alignment and segmentation via deep multi-task learning", "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": []}, {"id": "9bd35145c48ce172b80da80130ba310811a44051", "title": "Face Detection with End-to-End Integration of a ConvNet and a 3D Model", "addresses": [{"address": "Peking University", "lat": "39.99223790", "lng": "116.30393816", "type": "edu"}, {"address": "North Carolina State University", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.00850.pdf"]}, {"id": "45e616093a92e5f1e61a7c6037d5f637aa8964af", "title": "Fine-grained evaluation on face detection in the wild", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2015", "pdf": ["http://www.cs.toronto.edu/~byang/papers/malf_fg15.pdf"]}, {"id": "b6bbaa26f19ced1ce357d5bce903d772d5a49102", "title": "Privileged Information-Based Conditional Structured Output Regression Forest for Facial Point Detection", "addresses": [{"address": "Queen Mary University of London", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu"}], "year": "2015", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22402/Yang%20Privileged%20Information-Based%20Conditional%20Structured%20Output%20Regression%20Forest%20for%20Facial%20Point%20Detection%202015%20Accepted.pdf?sequence=1"]}, {"id": "411dc8874fd7b3a9a4c1fd86bb5b583788027776", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "addresses": [{"address": "University of Texas at Arlington", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu"}, {"address": "Xidian University", "lat": "34.12358250", "lng": "108.83546000", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/701f/56f0eac9f88387de1f556acef78016b05d52.pdf"]}, {"id": "a1f40bcfadbeee66f67ab0755dd3037c030a7450", "title": "Face Image Quality Assessment Based on Learning to Rank", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2015", "pdf": ["http://www.researchgate.net/profile/Jiansheng_Chen/publication/265016758_Face_Image_Quality_Assessment_Based_on_Learning_to_Rank/links/546d662d0cf2193b94c5852b.pdf"]}, {"id": "b3e521baceadee36ac22b6a06266e8abd6a701f7", "title": "Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis", "addresses": [{"address": "University of Basel", "lat": "47.56126510", "lng": "7.57529610", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "3cb057a24a8adba6fe964b5d461ba4e4af68af14", "title": "Perceptual Annotation: Measuring Human Vision to Improve Computer Vision", "addresses": [{"address": "Harvard University", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu"}], "year": "2014", "pdf": ["http://samenglishanthony.com/papers/perceptual-annotation-tpami.pdf", "http://visionlab.harvard.edu/Members/Ken/Papers/183ScheirerAnthony2014.pdf", "http://visionlab.harvard.edu/members/ken/Papers/183ScheirerAnthony2014.pdf", "http://www.coxlab.org/pdfs/2014_scheirer_tpami.pdf", "http://www.wjscheirer.com/papers/wjs_tpami2014_perceptual.pdf", "http://www.wjscheirer.com/talks/scheirer_samsung_2014.pdf", "https://dash.harvard.edu/bitstream/handle/1/12111387/Scheirer_PerceptualAnnotation.pdf;jsessionid=EE9AEFD8AEA293881B90EEB3A313F267?sequence=1", "https://dash.harvard.edu/bitstream/handle/1/12111387/Scheirer_PerceptualAnnotation.pdf?sequence=1"]}, {"id": "cf5c9b521c958b84bb63bea9d5cbb522845e4ba7", "title": "Towards Arbitrary-View Face Alignment by Recommendation Trees", "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/1511.06627.pdf"]}, {"id": "377f2b65e6a9300448bdccf678cde59449ecd337", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "addresses": [{"address": "Johns Hopkins University", "lat": "39.32905300", "lng": "-76.61942500", "type": "edu"}, {"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10275.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": "8ee5b1c9fb0bded3578113c738060290403ed472", "title": "Extending explicit shape regression with mixed feature channels and pose priors", "addresses": [{"address": "Karlsruhe Institute of Technology", "lat": "49.10184375", "lng": "8.43312560", "type": "edu"}], "year": "2014", "pdf": ["http://infoscience.epfl.ch/record/200452/files/wacv2014-RGE.pdf"]}, {"id": "43e99b76ca8e31765d4571d609679a689afdc99e", "title": "Learning Dense Facial Correspondences in Unconstrained Images", "addresses": [{"address": "University of Southern California", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00536.pdf"]}, {"id": "f074e86e003d5b7a3b6e1780d9c323598d93f3bc", "title": "Characteristic Number: Theory and Its Application to Shape Analysis", "addresses": [{"address": "Dalian University of Technology", "lat": "38.88140235", "lng": "121.52281098", "type": "edu"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f074/e86e003d5b7a3b6e1780d9c323598d93f3bc.pdf"]}, {"id": "1389ba6c3ff34cdf452ede130c738f37dca7e8cb", "title": "A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection.", "addresses": [{"address": "University of Maryland College Park", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01880.pdf"]}, {"id": "85674b1b6007634f362cbe9b921912b697c0a32c", "title": "Optimizing Facial Landmark Detection by Facial Attribute Learning", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8567/4b1b6007634f362cbe9b921912b697c0a32c.pdf"]}, {"id": "8d9ffe9f7bf1ff3ecc320afe50a92a867a12aeb7", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"]}, {"id": "f7824758800a7b1a386db5bd35f84c81454d017a", "title": "KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors", "addresses": [{"address": "University of Maryland College Park", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05085.pdf"]}, {"id": "156cd2a0e2c378e4c3649a1d046cd080d3338bca", "title": "Exemplar based approaches on Face Fiducial Detection and Frontalization", "addresses": [{"address": "International Institute of Information Technology", "lat": "17.44549570", "lng": "78.34854698", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/156c/d2a0e2c378e4c3649a1d046cd080d3338bca.pdf"]}, {"id": "5cfbeae360398de9e20e4165485837bd42b93217", "title": "Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach", "addresses": [{"address": "Firat University", "lat": "39.72750370", "lng": "39.47127034", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "a065080353d18809b2597246bb0b48316234c29a", "title": "FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection", "addresses": [{"address": "Chongqing University", "lat": "29.50841740", "lng": "106.57858552", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.03687.pdf"]}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"address": "Warsaw University of Technology", "lat": "52.22165395", "lng": "21.00735776", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"]}, {"id": "68c1090f912b69b76437644dd16922909dd40d60", "title": "Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting", "addresses": [{"address": "University of Manchester", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu"}], "year": "2012", "pdf": ["http://personalpages.manchester.ac.uk/staff/claudia.lindner/_publications/cootes_eccv12.pdf", "http://personalpages.manchester.ac.uk/staff/claudia.lindner/_publications/lindner_pami2014.pdf", "http://personalpages.manchester.ac.uk/staff/timothy.f.cootes/Papers/cootes_eccv12.pdf"]}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"address": "Open University of Israel", "lat": "32.77824165", "lng": "34.99565673", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"]}, {"id": "f4ba07d2ae6c9673502daf50ee751a5e9262848f", "title": "Real-time multi-view facial landmark detector learned by the structured output SVM", "addresses": [{"address": "Czech Technical University", "lat": "50.07642960", "lng": "14.41802312", "type": "edu"}, {"address": "National Institute of Informatics, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu"}], "year": "2015", "pdf": ["http://www.dgcv.nii.ac.jp/Publications/Papers/2015/BWILD2015.pdf"]}, {"id": "204f1cf56794bb23f9516b5f225a6ae00d3d30b8", "title": "An AdaBoost-Based Face Detection System Using Parallel Configurable Architecture With Optimized Computation", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "1ed6c7e02b4b3ef76f74dd04b2b6050faa6e2177", "title": "Face Detection with a 3D Model", "addresses": [{"address": "Florida State University", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu"}, {"address": "National Institutes of Health", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.3596.pdf"]}, {"id": "37ce1d3a6415d6fc1760964e2a04174c24208173", "title": "Pose-Invariant 3D Face Alignment", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03799.pdf"]}, {"id": "ec8ec2dfd73cf3667f33595fef84c95c42125945", "title": "Pose-Invariant Face Alignment with a Single CNN", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06286.pdf"]}, {"id": "b53485dbdd2dc5e4f3c7cff26bd8707964bb0503", "title": "Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_IJCV_2017.pdf"]}, {"id": "abdd17e411a7bfe043f280abd4e560a04ab6e992", "title": "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00839.pdf"]}, {"id": "085ceda1c65caf11762b3452f87660703f914782", "title": "Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2016", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf"]}, {"id": "fcd3d557863e71dd5ce8bcf918adbe22ec59e62f", "title": "Facial landmark localization based on hierarchical pose regression with cascaded random ferns", "addresses": [{"address": "Shenzhen Institutes of Advanced Technology", "lat": "22.59805605", "lng": "113.98533784", "type": "edu"}], "year": "2013", "pdf": []}, {"id": "c00df53bd46f78ae925c5768d46080159d4ef87d", "title": "Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks", "addresses": [{"address": "Aristotle University of Thessaloniki", "lat": "40.62984145", "lng": "22.95889350", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.08105.pdf"]}, {"id": "d22dd4a6752a5ffa40aebd260ff63d2c2a9e1da1", "title": "Pose Invariant 3D Face Reconstruction", "addresses": [{"address": "Jiangnan University", "lat": "31.48542550", "lng": "120.27395810", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05295.pdf"]}, {"id": "c4fb2de4a5dc28710d9880aece321acf68338fde", "title": "Interactive Generative Adversarial Networks for Facial Expression Generation in Dyadic Interactions", "addresses": [{"address": "University of Central Florida", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09092.pdf"]}, {"id": "c94b3a05f6f41d015d524169972ae8fd52871b67", "title": "The Fastest Deformable Part Model for Object Detection", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/Fastest_DPM.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yan_The_Fastest_Deformable_2014_CVPR_paper.pdf"]}, {"id": "2a171f8d14b6b8735001a11c217af9587d095848", "title": "Learning Social Relation Traits from Face Images", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03936.pdf"]}, {"id": "4c078c2919c7bdc26ca2238fa1a79e0331898b56", "title": "Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03409.pdf"]}, {"id": "721e5ba3383b05a78ef1dfe85bf38efa7e2d611d", "title": "Convolutional aggregation of local evidence for large pose face alignment", "addresses": [{"address": "University of Nottingham", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/74f1/9d0986c9d39aabb359abaa2a87a248a48deb.pdf"]}, {"id": "0c20fd90d867fe1be2459223a3cb1a69fa3d44bf", "title": "A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis", "addresses": [{"address": "University of Basel", "lat": "47.56126510", "lng": "7.57529610", "type": "edu"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0c20/fd90d867fe1be2459223a3cb1a69fa3d44bf.pdf"]}, {"id": "c7cd490e43ee4ff81e8f86f790063695369c2830", "title": "Use fast R-CNN and cascade structure for face detection", "addresses": [{"address": "Beijing FaceAll Co., Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu"}, {"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "96a9ca7a8366ae0efe6b58a515d15b44776faf6e", "title": "Grid Loss: Detecting Occluded Faces", "addresses": [{"address": "Graz University of Technology", "lat": "47.05821000", "lng": "15.46019568", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00129.pdf"]}, {"id": "3b73f8a2b39751efb7d7b396bf825af2aaadee24", "title": "Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images", "addresses": [{"address": "Max Planck Institute for Informatics", "lat": "49.25795660", "lng": "7.04577417", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01066.pdf"]}, {"id": "043efe5f465704ced8d71a067d2b9d5aa5b59c29", "title": "Occlusion-aware 3D Morphable Face Models", "addresses": [{"address": "University of Basel", "lat": "47.56126510", "lng": "7.57529610", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/000a/c6b0865c79bcf0d6f7f069b3abfe229e1462.pdf"]}, {"id": "c13211a15abd3ca187ef36b9f816891f901ba788", "title": "A multi-channel projection haar features method for face detection", "addresses": [{"address": "Southeast University", "lat": "32.05752790", "lng": "118.78682252", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "ede5982980aa76deae8f9dc5143a724299d67742", "title": "Lightweight two-stream convolutional face detection", "addresses": [{"address": "Aristotle University of Thessaloniki", "lat": "40.62984145", "lng": "22.95889350", "type": "edu"}], "year": "2017", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570347567.pdf"]}, {"id": "a3d0ebb50d49116289fb176d28ea98a92badada6", "title": "Unsupervised Learning of Object Landmarks through Conditional Image Generation", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}, {"address": "University of Edinburgh", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a3d0/ebb50d49116289fb176d28ea98a92badada6.pdf"]}, {"id": "ed07856461da6c7afa4f1782b5b607b45eebe9f6", "title": "D Morphable Models as Spatial Transformer Networks", "addresses": [{"address": "University of York", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu"}, {"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ed07/856461da6c7afa4f1782b5b607b45eebe9f6.pdf"]}, {"id": "0974677f59e78649a40f0a1d85735410d21b906a", "title": "A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65nm CMOS", "addresses": [{"address": "ARM, Inc.", "lat": "37.41739310", "lng": "-121.94757210", "type": "company"}, {"address": "Zhejiang University", "lat": "30.19331415", "lng": "120.11930822", "type": "edu"}, {"address": "Arizona State University", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "293d69d042fe9bc4fea256c61915978ddaf7cc92", "title": "Face Recognition by Coarse-to-Fine Landmark Regression with Application to ATM Surveillance", "addresses": [{"address": "Guangzhou University", "lat": "23.04436505", "lng": "113.36668458", "type": "edu"}, {"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "56e25056153a15eae2a6b10c109f812d2b753cee", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}, {"address": "Jiangnan University", "lat": "31.48542550", "lng": "120.27395810", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06753.pdf"]}, {"id": "ebc2a3e8a510c625353637e8e8f07bd34410228f", "title": "Dual Sparse Constrained Cascade Regression for Robust Face Alignment", "addresses": [{"address": "University of Technology Sydney", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "28bac5bc6e8a15f704563c5cb723b7c71f5413fa", "title": "Analysis for Self-taught and Transfer Learning Based Approaches for Emotion Recognition", "addresses": [{"address": "Indian Institute of Technology Delhi", "lat": "28.54632595", "lng": "77.27325504", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "title": "HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1603.01249.pdf"]}, {"id": "5789f8420d8f15e7772580ec373112f864627c4b", "title": "Efficient Global Illumination for Morphable Models", "addresses": [{"address": "University of Basel", "lat": "47.56126510", "lng": "7.57529610", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Schneider_Efficient_Global_Illumination_ICCV_2017_paper.pdf"]}, {"id": "01125e3c68edb420b8d884ff53fb38d9fbe4f2b8", "title": "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression", "addresses": [{"address": "University of Nottingham", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu"}, {"address": "Kingston University", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07834.pdf"]}, {"id": "622c84d79a9420ed6f3a78f29233d56b1e99cc21", "title": "Video attention prediction using gaze saliency", "addresses": [{"address": "Hefei University of Technology", "lat": "31.84691800", "lng": "117.29053367", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"address": "Beihang University", "lat": "39.98083330", "lng": "116.34101249", "type": "edu"}, {"address": "University of Texas at Arlington", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu"}, {"address": "Shanghai Jiao Tong University", "lat": "31.20081505", "lng": "121.42840681", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"]}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06523.pdf"]}, {"id": "a81da7746f4f58e7211e65f11e6520144f8c003d", "title": "Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning", "addresses": [{"address": "University of Hong Kong", "lat": "22.20814690", "lng": "114.25964115", "type": "edu"}, {"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2018", "pdf": ["https://i.cs.hku.hk/~yzyu/publication/BBFCN-BigMM2018.pdf"]}, {"id": "3d18ce183b5a5b4dcaa1216e30b774ef49eaa46f", "title": "Face Alignment in Full Pose Range: A 3D Total Solution", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.07212.pdf"]}, {"id": "d115c4a66d765fef596b0b171febca334cea15b5", "title": "Combining Stacked Denoising Autoencoders and Random Forests for Face Detection", "addresses": [{"address": "Swansea University", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d115/c4a66d765fef596b0b171febca334cea15b5.pdf"]}, {"id": "19705579b8e7d955092ef54a22f95f557a455338", "title": "Fiducial facial point extraction with cross ratio", "addresses": [{"address": "Dalian University of Technology", "lat": "38.88140235", "lng": "121.52281098", "type": "edu"}], "year": "2014", "pdf": []}, {"id": "79eb06c8acce1feef4a8654287d9cf5081e19600", "title": "Self-supervised learning of a facial attribute embedding from video", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06882.pdf"]}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"]}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "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": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"]}, {"id": "3fb26f3abcf0d287243646426cd5ddeee33624d4", "title": "Joint Training of Cascaded CNN for Face Detection", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Qin_Joint_Training_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Qin_Joint_Training_of_CVPR_2016_paper.pdf"]}, {"id": "055cd8173536031e189628c879a2acad6cf2a5d0", "title": "Fast multi-view face alignment via multi-task auto-encoders", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2017", "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": "d4c2d26523f577e2d72fc80109e2540c887255c8", "title": "Face-space Action Recognition by Face-Object Interactions", "addresses": [{"address": "Weizmann Institute of Science", "lat": "31.90784990", "lng": "34.81334092", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.04293.pdf"]}, {"id": "3251f40ed1113d592c61d2017e67beca66e678bb", "title": "Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization", "addresses": [{"address": "Aristotle University of Thessaloniki", "lat": "40.62984145", "lng": "22.95889350", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "17ded725602b4329b1c494bfa41527482bf83a6f", "title": "Compact Convolutional Neural Network Cascade for Face Detection", "addresses": [{"address": "Tomsk Polytechnic University", "lat": "56.46255985", "lng": "84.95565495", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.01292.pdf"]}, {"id": "c8ca6a2dc41516c16ea0747e9b3b7b1db788dbdd", "title": "Track Facial Points in Unconstrained Videos", "addresses": [{"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02825.pdf"]}, {"id": "42ea8a96eea023361721f0ea34264d3d0fc49ebd", "title": "Parameterized Principal Component Analysis", "addresses": [{"address": "Florida State University", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04695.pdf"]}, {"id": "de79437f74e8e3b266afc664decf4e6e4bdf34d7", "title": "To face or not to face: Towards reducing false positive of face detection", "addresses": [{"address": "University of Queensland", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "7c953868cd51f596300c8231192d57c9c514ae17", "title": "Detecting and Aligning Faces by Image Retrieval", "addresses": [{"address": "Northwestern University", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/CVPR13_FaceDetection.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d460.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shen_Detecting_and_Aligning_2013_CVPR_paper.pdf"]}, {"id": "19a9f658ea14701502d169dc086651b1d9b2a8ea", "title": "Structural models for face detection", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/JJYan-FG2013.pdf"]}, {"id": "be632b206f1cd38eab0c01c5f2004d1e8fc72880", "title": "Gradual training of cascaded shape regression for facial landmark localization and pose estimation", "addresses": [{"address": "Queensland University of Technology", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu"}], "year": "2013", "pdf": ["http://eprints.qut.edu.au/61607/1/856-2.pdf"]}, {"id": "0ea7b7fff090c707684fd4dc13e0a8f39b300a97", "title": "Integrated Face Analytics Networks through Cross-Dataset Hybrid Training", "addresses": [{"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}, {"address": "Beijing Institute of Technology", "lat": "39.95866520", "lng": "116.30971281", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06055.pdf"]}, {"id": "eb87151fd2796ff5b4bbcf1906d41d53ac6c5595", "title": "Enhanced face detection using body part detections for wearable cameras", "addresses": [{"address": "IBM Thomas J. Watson Research Center", "lat": "41.21002475", "lng": "-73.80407056", "type": "company"}], "year": "2016", "pdf": []}, {"id": "35d272877b178aa97c678e3fcbb619ff512af4c2", "title": "A multi-scale fusion convolutional neural network for face detection", "addresses": [{"address": "Chongqing University of Posts and Telecommunications", "lat": "29.53570460", "lng": "106.60482474", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "9e8f95503bebdfb623d4e5b51347f72677d89d99", "title": "Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis", "addresses": [{"address": "Loughborough University", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9e8f/95503bebdfb623d4e5b51347f72677d89d99.pdf"]}, {"id": "492f41e800c52614c5519f830e72561db205e86c", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "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": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"]}, {"id": "c6382de52636705be5898017f2f8ed7c70d7ae96", "title": "Unconstrained face detection: State of the art baseline and challenges", "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/CheneyKlienJainKlare_UnconstrainedFaceDetection_ICB15.pdf", "https://ai2-s2-pdfs.s3.amazonaws.com/c638/2de52636705be5898017f2f8ed7c70d7ae96.pdf"]}, {"id": "b11bb6bd63ee6f246d278dd4edccfbe470263803", "title": "Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization", "addresses": [{"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09242.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": "fdf8e293a7618f560e76bd83e3c40a0788104547", "title": "Interspecies Knowledge Transfer for Facial Keypoint Detection", "addresses": [{"address": "University of California, Davis", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu"}, {"address": "Zhejiang University", "lat": "30.19331415", "lng": "120.11930822", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04023.pdf"]}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"]}, {"id": "fb87045600da73b07f0757f345a937b1c8097463", "title": "Reflective Regression of 2D-3D Face Shape Across Large Pose", "addresses": [{"address": "University of Hong Kong", "lat": "22.20814690", "lng": "114.25964115", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c54/2fef80a35a4f930e5c82040b52c58e96ce87.pdf"]}, {"id": "853fc1794892175e2318f55785ca8e2ce6fd7537", "title": "FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection", "addresses": [{"address": "Chongqing University", "lat": "29.50841740", "lng": "106.57858552", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "University of Nottingham", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu"}, {"address": "University of Twente", "lat": "52.23801390", "lng": "6.85667610", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"]}, {"id": "4dd71a097e6b3cd379d8c802460667ee0cbc8463", "title": "Multi-view facial landmark detector learned by the Structured Output SVM", "addresses": [{"address": "National Institute of Informatics, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu"}], "year": "2016", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/uricar/Uricar-BWILD2015.pdf"]}, {"id": "1fd7a17a6c630a122c1a3d1c0668d14c0c375de0", "title": "Facial landmark localization: Past, present and future", "addresses": [{"address": "Moulay Ismail University", "lat": "33.85611100", "lng": "-5.57439100", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "5c0d105cfcc78d689d948a2aa8d654cab4e545f2", "title": "A Cascaded Framework for Model-Based 3D Face Reconstruction", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0003151.pdf"]}, {"id": "940e5c45511b63f609568dce2ad61437c5e39683", "title": "Fiducial Facial Point Extraction Using a Novel Projective Invariant", "addresses": [{"address": "Dalian University of Technology", "lat": "38.88140235", "lng": "121.52281098", "type": "edu"}], "year": "2015", "pdf": []}, {"id": "6dbdb07ce2991db0f64c785ad31196dfd4dae721", "title": "Seeing Small Faces from Robust Anchor's Perspective", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09058.pdf"]}, {"id": "1a12eec3ceb1c81cde4ae6e8f27aac08b36317d4", "title": "Real-time Distracted Driver Posture Classification", "addresses": [{"address": "American University in Cairo", "lat": "30.04287695", "lng": "31.23664139", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09498.pdf"]}, {"id": "cc70fb1ab585378c79a2ab94776723e597afe379", "title": "Detect face in the wild using CNN cascade with feature aggregation at multi-resolution", "addresses": [{"address": "Swansea University", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "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/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"]}, {"id": "2f61d91033a06dd904ff9d1765d57e5b4d7f57a6", "title": "FCFD: Teach the machine to accomplish face detection step by step", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}, {"address": "University of Texas at Arlington", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"]}, {"id": "83295bce2340cb87901499cff492ae6ff3365475", "title": "Deep Multi-Center Learning for Face Alignment", "addresses": [{"address": "Shanghai Jiao Tong University", "lat": "31.20081505", "lng": "121.42840681", "type": "edu"}, {"address": "East China Normal University", "lat": "31.22849230", "lng": "121.40211389", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01558.pdf"]}, {"id": "f201baf618574108bcee50e9a8b65f5174d832ee", "title": "Viewpoint-Consistent 3D Face Alignment", "addresses": [{"address": "University of Trento", "lat": "46.06588360", "lng": "11.11598940", "type": "edu"}, {"address": "Robotics Institute", "lat": "13.65450525", "lng": "100.49423171", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "4c6233765b5f83333f6c675d3389bbbf503805e3", "title": "Real-time high performance deformable model for face detection in the wild", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2013", "pdf": ["http://perceptual.mpi-inf.mpg.de/files/2015/03/Yan_Vis13.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICB2013/Yan-ICB13.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": "e659221538d256b2c3e0724deff749eda903fc7d", "title": "Fine-Grained Head Pose Estimation Without Keypoints", "addresses": [{"address": "Georgia Institute of Technology", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00925.pdf"]}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"address": "Brno University of Technology", "lat": "49.20172000", "lng": "16.60331680", "type": "edu"}, {"address": "University of Passau", "lat": "48.56704660", "lng": "13.45178350", "type": "edu"}, {"address": "Deutsche Welle, Bonn, Germany", "lat": "50.71714970", "lng": "7.12825184", "type": "edu"}, {"address": "Expert Systems, Modena, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company"}, {"address": "National University of Ireland Galway", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu"}, {"address": "Paradigma Digital, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company"}, {"address": "Siren Solutions, Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company"}], "year": "2018", "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": "961a5d5750f18e91e28a767b3cb234a77aac8305", "title": "Face Detection without Bells and Whistles", "addresses": [{"address": "ETH Z\u00fcrich", "lat": "47.37645340", "lng": "8.54770931", "type": "edu"}], "year": "2014", "pdf": ["http://videolectures.net/site/normal_dl/tag=921100/eccv2014_mathias_face_detection_01.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8692/86920720.pdf"]}, {"id": "0d746111135c2e7f91443869003d05cde3044beb", "title": "Partial face detection for continuous authentication", "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": ["https://arxiv.org/pdf/1603.09364.pdf"]}, {"id": "eb6ee56e085ebf473da990d032a4249437a3e462", "title": "Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "addresses": [{"address": "University of Southern California", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu"}], "year": "2017", "pdf": ["http://www-scf.usc.edu/~chuntinh/doc/Age_Gender_Classification_APSIPA_2017.pdf"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"]}, {"id": "ca8f23d9b9a40016eaf0467a3df46720ac718e1d", "title": "Face detection using Local Hybrid Patterns", "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_Detection_using.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": "bbf28f39e5038813afd74cf1bc78d55fcbe630f1", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"address": "University of Technology Sydney", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"]}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"address": "University of Cape Town", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"]}, {"id": "1b794b944fd462a2742b6c2f8021fecc663004c9", "title": "A Hierarchical Probabilistic Model for Facial Feature Detection", "addresses": [{"address": "Rensselaer Polytechnic Institute", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1709.05732.pdf"]}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"]}, {"id": "40c8cffd5aac68f59324733416b6b2959cb668fd", "title": "Pooling Facial Segments to Face: The Shallow and Deep Ends", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08341.pdf"]}, {"id": "28646c6220848db46c6944967298d89a6559c700", "title": "It takes two to tango : Cascading off-the-shelf face detectors", "addresses": [{"address": "University of Queensland", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2864/6c6220848db46c6944967298d89a6559c700.pdf"]}, {"id": "48a9241edda07252c1aadca09875fabcfee32871", "title": "Convolutional Experts Network for Facial Landmark Detection", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "044d9a8c61383312cdafbcc44b9d00d650b21c70", "title": "300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "University of Lincoln", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu"}, {"address": "University of Twente", "lat": "52.23801390", "lng": "6.85667610", "type": "edu"}], "year": "2013", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas_iccv_2013_300_w.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Sagonas_300_Faces_in-the-Wild_2013_ICCV_paper.pdf"]}, {"id": "4cd0da974af9356027a31b8485a34a24b57b8b90", "title": "Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources", "addresses": [{"address": "University of Nottingham", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00862.pdf"]}, {"id": "17479e015a2dcf15d40190e06419a135b66da4e0", "title": "Predicting First Impressions With Deep Learning", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.08119.pdf"]}, {"id": "89497854eada7e32f06aa8f3c0ceedc0e91ecfef", "title": "Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling", "addresses": [{"address": "Alibaba", "lat": "30.27408400", "lng": "120.15507000", "type": "company"}, {"address": "Zhejiang University", "lat": "30.19331415", "lng": "120.11930822", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"address": "Open University of Israel", "lat": "32.77824165", "lng": "34.99565673", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"]}]}
\ No newline at end of file +{"id": "a74251efa970b92925b89eeef50a5e37d9281ad0", "dataset": {"key": "aflw", "name_short": "AFLW", "using": "N", "ft_share": "1", "subset_of": "", "superset_of": "", "name_full": "Annotated Facial Landmarks in the Wild", "url": "https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/", "added_on": "", "faces": "", "pdf_paper": "Y", "comments": "", "": "", "relevance": "10"}, "statistics": {"key": "aflw", "name": "AFLW", "berit": "Y", "charlie": "", "adam": "", "priority": "N", "wild": "Y", "indoor": "", "outdoor": "", "cyberspace": "Y", "names": "", "downloaded": "N", "year_start": "", "year_end": "", "year_published": "2011", "ongoing": "", "images": "25,993 ", "videos": "0 ", "faces_unique": "", "total_faces": "", "img_per_person": "", "num_cameras": "", "faces_persons": "", "female": "15,339 ", "male": "10,657 ", "landmarks": "21 ", "width": "", "height": "", "color": "", "gray": "", "derivative_of": "", "tags": "fd, pose", "source": "flickr", "purpose_short": "detection, pose, fiducials,maye dupe of AFW", "size_gb": "", "agreement": "N", "agree_requied": "", "agreement_signed": "", "comment": "", "comment 2": "", "comment 3": "", "": ""}, "paper": {"paper_id": "a74251efa970b92925b89eeef50a5e37d9281ad0", "key": "aflw", "title": "Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization", "year": "2011", "pdf": ["http://face.cs.kit.edu/befit/workshop2011/pdf/slides/martin_koestinger-slides.pdf", "http://lrs.icg.tugraz.at/pubs/koestinger_befit_11.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/koestinger_befit_11.pdf"], "address": "", "name": "AFLW", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130513", "http://doi.org/10.1109/ICCVW.2011.6130513"]}, "address": null, "additional_papers": [], "citations": [{"id": "a422f2d0212f54807ff678f209293a27c7791ec5", "title": "Adaptive image downsampling preprocessor for artificial neural networks", "addresses": [{"address": "University of Kent", "lat": "51.29753440", "lng": "1.07296165", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "860588fafcc80c823e66429fadd7e816721da42a", "title": "Unsupervised Discovery of Object Landmarks as Structural Representations", "addresses": [{"address": "University of Michigan", "lat": "42.29421420", "lng": "-83.71003894", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04412.pdf"]}, {"id": "433a6d6d2a3ed8a6502982dccc992f91d665b9b3", "title": "Transferring Landmark Annotations for Cross-Dataset Face Alignment.", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}, {"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.0602.pdf"]}, {"id": "6342a4c54835c1e14159495373ab18b4233d2d9b", "title": "TOWARDS POSE-ROBUST FACE RECOGNITION ON VIDEO", "addresses": [{"address": "Queensland University of Technology", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6342/a4c54835c1e14159495373ab18b4233d2d9b.pdf"]}, {"id": "38183fe28add21693729ddeaf3c8a90a2d5caea3", "title": "Scale-Aware Face Detection", "addresses": [{"address": "SenseTime", "lat": "39.99300800", "lng": "116.32988200", "type": "company"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09876.pdf"]}, {"id": "2c17d36bab56083293456fe14ceff5497cc97d75", "title": "Unconstrained Face Alignment via Cascaded Compositional Learning", "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"}, {"address": "SenseTime", "lat": "39.99300800", "lng": "116.32988200", "type": "company"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhu_Unconstrained_Face_Alignment_CVPR_2016_paper.pdf", "http://personal.ie.cuhk.edu.hk/~ccloy/files/cvpr_2016_unconstrained.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Unconstrained_Face_Alignment_CVPR_2016_paper.pdf"]}, {"id": "4ab10174a4f98f7e2da7cf6ccfeb9bc64c8e7da8", "title": "Efficient Metric Learning for Real-World Face Recognition", "addresses": [{"address": "Graz University of Technology", "lat": "47.05821000", "lng": "15.46019568", "type": "edu"}], "year": "2013", "pdf": []}, {"id": "32ecbbd76fdce249f9109594eee2d52a1cafdfc7", "title": "Object Specific Deep Learning Feature and Its Application to Face Detection", "addresses": [{"address": "University of Nottingham", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu"}, {"address": "Shenzhen University", "lat": "22.53521465", "lng": "113.93159110", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.01366.pdf"]}, {"id": "4e6c17966efae956133bf8f22edeffc24a0470c1", "title": "Face Classification: A Specialized Benchmark Study", "addresses": [{"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "Macau University of Science and Technology", "lat": "22.15263985", "lng": "113.56803206", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4e6c/17966efae956133bf8f22edeffc24a0470c1.pdf"]}, {"id": "f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53", "title": "Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05653.pdf"]}, {"id": "441bf5f7fe7d1a3939d8b200eca9b4bb619449a9", "title": "Head pose estimation in the wild using approximate view manifolds", "addresses": [{"address": "University of Florida", "lat": "29.63287840", "lng": "-82.34901330", "type": "edu"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Sundararajan_Head_Pose_Estimation_2015_CVPR_paper.pdf"]}, {"id": "1ca815327e62c70f4ee619a836e05183ef629567", "title": "Global supervised descent method", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2A_048_ext.pdf", "http://www.humansensing.cs.cmu.edu/sites/default/files/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf"]}, {"id": "6495d989fe33b19d2b7755f9077d8b5bf3190151", "title": "Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network", "addresses": [{"address": "Shanghai Jiao Tong University", "lat": "31.20081505", "lng": "121.42840681", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07835.pdf"]}, {"id": "ccebd3bf069f5c73ea2ccc5791976f894bc6023d", "title": "Face detection based on deep convolutional neural networks exploiting incremental facial part learning", "addresses": [{"address": "Aristotle University of Thessaloniki", "lat": "40.62984145", "lng": "22.95889350", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "c146aa6d56233ce700032f1cb179700778557601", "title": "3D Morphable Models as Spatial Transformer Networks", "addresses": [{"address": "University of York", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu"}, {"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07199.pdf"]}, {"id": "438e7999c937b94f0f6384dbeaa3febff6d283b6", "title": "Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}, {"address": "Jiangnan University", "lat": "31.48542550", "lng": "120.27395810", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02402.pdf"]}, {"id": "b1fdd4ae17d82612cefd4e78b690847b071379d3", "title": "Supervised Descent Method", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4fc5/416b6c7173d3462e5be796bda3ad8d5645a1.pdf"]}, {"id": "96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d", "title": "Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}, {"address": "Jiangnan University", "lat": "31.48542550", "lng": "120.27395810", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05396.pdf"]}, {"id": "d3b0839324d0091e70ce34f44c979b9366547327", "title": "Precise Box Score: Extract More Information from Datasets to Improve the Performance of Face Detection", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10743.pdf"]}, {"id": "7caa3a74313f9a7a2dd5b4c2cd7f825d895d3794", "title": "Markov Chain Monte Carlo for Automated Face Image Analysis", "addresses": [{"address": "University of Basel", "lat": "47.56126510", "lng": "7.57529610", "type": "edu"}], "year": "2016", "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": "7117ed0be436c0291bc6fb6ea6db18de74e2464a", "title": "Spatial Transformations", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7117/ed0be436c0291bc6fb6ea6db18de74e2464a.pdf"]}, {"id": "8a3c5507237957d013a0fe0f082cab7f757af6ee", "title": "Facial Landmark Detection by Deep Multi-task Learning", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2014", "pdf": ["http://personal.ie.cuhk.edu.hk/~ccloy/files/eccv_2014_deepfacealign.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940094.pdf", "http://www.eecs.qmul.ac.uk/~ccloy/files/eccv_2014_deepfacealign.pdf"]}, {"id": "5c8672c0d2f28fd5d2d2c4b9818fcff43fb01a48", "title": "Robust Face Detection by Simple Means", "addresses": [{"address": "Graz University of Technology", "lat": "47.05821000", "lng": "15.46019568", "type": "edu"}], "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5c86/72c0d2f28fd5d2d2c4b9818fcff43fb01a48.pdf"]}, {"id": "5cbe1445d683d605b31377881ac8540e1d17adf0", "title": "On 3D face reconstruction via cascaded regression in shape space", "addresses": [{"address": "Sichuan University, Chengdu", "lat": "30.64276900", "lng": "104.06751175", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.06161.pdf"]}, {"id": "3c6cac7ecf546556d7c6050f7b693a99cc8a57b3", "title": "Robust facial landmark detection in the wild", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3c6c/ac7ecf546556d7c6050f7b693a99cc8a57b3.pdf"]}, {"id": "287de191c49a3caa38ad7594093045dfba1eb420", "title": "Object specific deep feature and its application to face detection", "addresses": [{"address": "Shenzhen University", "lat": "22.53521465", "lng": "113.93159110", "type": "edu"}, {"address": "University of Nottingham", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "2f04ba0f74df046b0080ca78e56898bd4847898b", "title": "Aggregate channel features for multi-view face detection", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4023.pdf"]}, {"id": "4f36c14d1453fc9d6481b09c5a09e91d8d9ee47a", "title": "Video-Based Face Recognition Using the Intra / Extra-Personal Difference Dictionary", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}, {"address": "University of Maryland College Park", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4f36/c14d1453fc9d6481b09c5a09e91d8d9ee47a.pdf"]}, {"id": "e4e07f5f201c6986e93ddb42dcf11a43c339ea2e", "title": "Cross-pose landmark localization using multi-dropout framework", "addresses": [{"address": "National Taiwan University of Science and Technology", "lat": "25.01353105", "lng": "121.54173736", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "1606b1475e125bba1b2d87bcf1e33b06f42c5f0d", "title": "A convolutional neural network cascade for face detection", "addresses": [{"address": "Adobe Research, San Jose, CA 95110, USA", "lat": "37.33093070", "lng": "-121.89404850", "type": "edu"}, {"address": "Stevens Institute of Technology", "lat": "40.74225200", "lng": "-74.02709490", "type": "edu"}], "year": "2015", "pdf": ["http://personal.stevens.edu/~hli18/papers/CVPR2015_CasCNN.pdf", "http://soc.fudan.edu.cn/vip/attachments/download/3893/CVPR2015-A-Convolutional-Neural-Network-Cascade-for-Face-Detection.pdf", "http://users.eecs.northwestern.edu/~xsh835/assets/cvpr2015_cascnn.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_096.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_096_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_096_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Li_A_Convolutional_Neural_2015_CVPR_paper.pdf"]}, {"id": "a1e07c31184d3728e009d4d1bebe21bf9fe95c8e", "title": "On looking at faces in an automobile: Issues, algorithms and evaluation on naturalistic driving dataset", "addresses": [{"address": "University of California, San Diego", "lat": "32.87935255", "lng": "-117.23110049", "type": "edu"}], "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediICPR2016.pdf"]}, {"id": "329d58e8fb30f1bf09acb2f556c9c2f3e768b15c", "title": "Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}, {"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Wu_Leveraging_Intra_and_CVPR_2017_paper.pdf"]}, {"id": "04661729f0ff6afe4b4d6223f18d0da1d479accf", "title": "From Facial Parts Responses to Face Detection: A Deep Learning Approach", "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/1509.06451.pdf"]}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"]}, {"id": "185263189a30986e31566394680d6d16b0089772", "title": "Efficient Annotation of Objects for Video Analysis", "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/1852/63189a30986e31566394680d6d16b0089772.pdf"]}, {"id": "136f92989e982ecf795cb27d65b48464eaec9323", "title": "Joint face alignment and segmentation via deep multi-task learning", "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"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "9bd35145c48ce172b80da80130ba310811a44051", "title": "Face Detection with End-to-End Integration of a ConvNet and a 3D Model", "addresses": [{"address": "Peking University", "lat": "39.99223790", "lng": "116.30393816", "type": "edu"}, {"address": "North Carolina State University", "lat": "35.77184965", "lng": "-78.67408695", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.00850.pdf"]}, {"id": "45e616093a92e5f1e61a7c6037d5f637aa8964af", "title": "Fine-grained evaluation on face detection in the wild", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2015", "pdf": ["http://www.cs.toronto.edu/~byang/papers/malf_fg15.pdf"]}, {"id": "b6bbaa26f19ced1ce357d5bce903d772d5a49102", "title": "Privileged Information-Based Conditional Structured Output Regression Forest for Facial Point Detection", "addresses": [{"address": "Queen Mary University of London", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu"}], "year": "2015", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22402/Yang%20Privileged%20Information-Based%20Conditional%20Structured%20Output%20Regression%20Forest%20for%20Facial%20Point%20Detection%202015%20Accepted.pdf?sequence=1"]}, {"id": "411dc8874fd7b3a9a4c1fd86bb5b583788027776", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "addresses": [{"address": "University of Texas at Arlington", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu"}, {"address": "Xidian University", "lat": "34.12358250", "lng": "108.83546000", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/701f/56f0eac9f88387de1f556acef78016b05d52.pdf"]}, {"id": "a1f40bcfadbeee66f67ab0755dd3037c030a7450", "title": "Face Image Quality Assessment Based on Learning to Rank", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2015", "pdf": ["http://www.researchgate.net/profile/Jiansheng_Chen/publication/265016758_Face_Image_Quality_Assessment_Based_on_Learning_to_Rank/links/546d662d0cf2193b94c5852b.pdf"]}, {"id": "b3e521baceadee36ac22b6a06266e8abd6a701f7", "title": "Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis", "addresses": [{"address": "University of Basel", "lat": "47.56126510", "lng": "7.57529610", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "3cb057a24a8adba6fe964b5d461ba4e4af68af14", "title": "Perceptual Annotation: Measuring Human Vision to Improve Computer Vision", "addresses": [{"address": "Harvard University", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu"}], "year": "2014", "pdf": ["http://samenglishanthony.com/papers/perceptual-annotation-tpami.pdf", "http://visionlab.harvard.edu/Members/Ken/Papers/183ScheirerAnthony2014.pdf", "http://visionlab.harvard.edu/members/ken/Papers/183ScheirerAnthony2014.pdf", "http://www.coxlab.org/pdfs/2014_scheirer_tpami.pdf", "http://www.wjscheirer.com/papers/wjs_tpami2014_perceptual.pdf", "http://www.wjscheirer.com/talks/scheirer_samsung_2014.pdf", "https://dash.harvard.edu/bitstream/handle/1/12111387/Scheirer_PerceptualAnnotation.pdf;jsessionid=EE9AEFD8AEA293881B90EEB3A313F267?sequence=1", "https://dash.harvard.edu/bitstream/handle/1/12111387/Scheirer_PerceptualAnnotation.pdf?sequence=1"]}, {"id": "cf5c9b521c958b84bb63bea9d5cbb522845e4ba7", "title": "Towards Arbitrary-View Face Alignment by Recommendation Trees", "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/1511.06627.pdf"]}, {"id": "377f2b65e6a9300448bdccf678cde59449ecd337", "title": "Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results", "addresses": [{"address": "Johns Hopkins University", "lat": "39.32905300", "lng": "-76.61942500", "type": "edu"}, {"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10275.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": "8ee5b1c9fb0bded3578113c738060290403ed472", "title": "Extending explicit shape regression with mixed feature channels and pose priors", "addresses": [{"address": "Karlsruhe Institute of Technology", "lat": "49.10184375", "lng": "8.43312560", "type": "edu"}], "year": "2014", "pdf": ["http://infoscience.epfl.ch/record/200452/files/wacv2014-RGE.pdf"]}, {"id": "43e99b76ca8e31765d4571d609679a689afdc99e", "title": "Learning Dense Facial Correspondences in Unconstrained Images", "addresses": [{"address": "University of Southern California", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00536.pdf"]}, {"id": "f074e86e003d5b7a3b6e1780d9c323598d93f3bc", "title": "Characteristic Number: Theory and Its Application to Shape Analysis", "addresses": [{"address": "Dalian University of Technology", "lat": "38.88140235", "lng": "121.52281098", "type": "edu"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f074/e86e003d5b7a3b6e1780d9c323598d93f3bc.pdf"]}, {"id": "1389ba6c3ff34cdf452ede130c738f37dca7e8cb", "title": "A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection.", "addresses": [{"address": "University of Maryland College Park", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01880.pdf"]}, {"id": "85674b1b6007634f362cbe9b921912b697c0a32c", "title": "Optimizing Facial Landmark Detection by Facial Attribute Learning", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8567/4b1b6007634f362cbe9b921912b697c0a32c.pdf"]}, {"id": "8d9ffe9f7bf1ff3ecc320afe50a92a867a12aeb7", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"]}, {"id": "f7824758800a7b1a386db5bd35f84c81454d017a", "title": "KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors", "addresses": [{"address": "University of Maryland College Park", "lat": "38.99203005", "lng": "-76.94610290", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05085.pdf"]}, {"id": "156cd2a0e2c378e4c3649a1d046cd080d3338bca", "title": "Exemplar based approaches on Face Fiducial Detection and Frontalization", "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": "2017", "pdf": ["https://pdfs.semanticscholar.org/156c/d2a0e2c378e4c3649a1d046cd080d3338bca.pdf"]}, {"id": "5cfbeae360398de9e20e4165485837bd42b93217", "title": "Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach", "addresses": [{"address": "Firat University", "lat": "39.72750370", "lng": "39.47127034", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "a065080353d18809b2597246bb0b48316234c29a", "title": "FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection", "addresses": [{"address": "Chongqing University", "lat": "29.50841740", "lng": "106.57858552", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.03687.pdf"]}, {"id": "f27b8b8f2059248f77258cf8595e9434cf0b0228", "title": "Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment", "addresses": [{"address": "Warsaw University of Technology", "lat": "52.22165395", "lng": "21.00735776", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.01789.pdf"]}, {"id": "68c1090f912b69b76437644dd16922909dd40d60", "title": "Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting", "addresses": [{"address": "University of Manchester", "lat": "53.46600455", "lng": "-2.23300881", "type": "edu"}], "year": "2012", "pdf": ["http://personalpages.manchester.ac.uk/staff/claudia.lindner/_publications/cootes_eccv12.pdf", "http://personalpages.manchester.ac.uk/staff/claudia.lindner/_publications/lindner_pami2014.pdf", "http://personalpages.manchester.ac.uk/staff/timothy.f.cootes/Papers/cootes_eccv12.pdf"]}, {"id": "62e913431bcef5983955e9ca160b91bb19d9de42", "title": "Facial Landmark Detection with Tweaked Convolutional Neural Networks", "addresses": [{"address": "Open University of Israel", "lat": "32.77824165", "lng": "34.99565673", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.04031.pdf"]}, {"id": "f4ba07d2ae6c9673502daf50ee751a5e9262848f", "title": "Real-time multi-view facial landmark detector learned by the structured output SVM", "addresses": [{"address": "Czech Technical University", "lat": "50.07642960", "lng": "14.41802312", "type": "edu"}, {"address": "National Institute of Informatics, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu"}], "year": "2015", "pdf": ["http://www.dgcv.nii.ac.jp/Publications/Papers/2015/BWILD2015.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": "204f1cf56794bb23f9516b5f225a6ae00d3d30b8", "title": "An AdaBoost-Based Face Detection System Using Parallel Configurable Architecture With Optimized Computation", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "1ed6c7e02b4b3ef76f74dd04b2b6050faa6e2177", "title": "Face Detection with a 3D Model", "addresses": [{"address": "Florida State University", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu"}, {"address": "National Institutes of Health", "lat": "39.00041165", "lng": "-77.10327775", "type": "edu"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.3596.pdf"]}, {"id": "37ce1d3a6415d6fc1760964e2a04174c24208173", "title": "Pose-Invariant 3D Face Alignment", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.03799.pdf"]}, {"id": "ec8ec2dfd73cf3667f33595fef84c95c42125945", "title": "Pose-Invariant Face Alignment with a Single CNN", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06286.pdf"]}, {"id": "cc31db984282bb70946f6881bab741aa841d3a7c", "title": "Learning Grimaces by Watching TV", "addresses": [{"address": "Oxford, UK", "lat": "51.75202090", "lng": "-1.25772630", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02255.pdf"]}, {"id": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"]}, {"id": "b53485dbdd2dc5e4f3c7cff26bd8707964bb0503", "title": "Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2017", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_IJCV_2017.pdf"]}, {"id": "abdd17e411a7bfe043f280abd4e560a04ab6e992", "title": "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.00839.pdf"]}, {"id": "085ceda1c65caf11762b3452f87660703f914782", "title": "Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting", "addresses": [{"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2016", "pdf": ["http://cvlab.cse.msu.edu/pdfs/Jourabloo_Liu_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf"]}, {"id": "fcd3d557863e71dd5ce8bcf918adbe22ec59e62f", "title": "Facial landmark localization based on hierarchical pose regression with cascaded random ferns", "addresses": [{"address": "Shenzhen Institutes of Advanced Technology", "lat": "22.59805605", "lng": "113.98533784", "type": "edu"}], "year": "2013", "pdf": []}, {"id": "c00df53bd46f78ae925c5768d46080159d4ef87d", "title": "Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks", "addresses": [{"address": "Aristotle University of Thessaloniki", "lat": "40.62984145", "lng": "22.95889350", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.08105.pdf"]}, {"id": "d22dd4a6752a5ffa40aebd260ff63d2c2a9e1da1", "title": "Pose Invariant 3D Face Reconstruction", "addresses": [{"address": "Jiangnan University", "lat": "31.48542550", "lng": "120.27395810", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05295.pdf"]}, {"id": "c4fb2de4a5dc28710d9880aece321acf68338fde", "title": "Interactive Generative Adversarial Networks for Facial Expression Generation in Dyadic Interactions", "addresses": [{"address": "University of Central Florida", "lat": "28.59899755", "lng": "-81.19712501", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09092.pdf"]}, {"id": "c94b3a05f6f41d015d524169972ae8fd52871b67", "title": "The Fastest Deformable Part Model for Object Detection", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/jjyan/Fastest_DPM.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Yan_The_Fastest_Deformable_2014_CVPR_paper.pdf"]}, {"id": "2a171f8d14b6b8735001a11c217af9587d095848", "title": "Learning Social Relation Traits from Face Images", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.03936.pdf"]}, {"id": "4c078c2919c7bdc26ca2238fa1a79e0331898b56", "title": "Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03409.pdf"]}, {"id": "721e5ba3383b05a78ef1dfe85bf38efa7e2d611d", "title": "Convolutional aggregation of local evidence for large pose face alignment", "addresses": [{"address": "University of Nottingham", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/74f1/9d0986c9d39aabb359abaa2a87a248a48deb.pdf"]}, {"id": "0c20fd90d867fe1be2459223a3cb1a69fa3d44bf", "title": "A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis", "addresses": [{"address": "University of Basel", "lat": "47.56126510", "lng": "7.57529610", "type": "edu"}], "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0c20/fd90d867fe1be2459223a3cb1a69fa3d44bf.pdf"]}, {"id": "c7cd490e43ee4ff81e8f86f790063695369c2830", "title": "Use fast R-CNN and cascade structure for face detection", "addresses": [{"address": "Beijing FaceAll Co., Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu"}, {"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "96a9ca7a8366ae0efe6b58a515d15b44776faf6e", "title": "Grid Loss: Detecting Occluded Faces", "addresses": [{"address": "Graz University of Technology", "lat": "47.05821000", "lng": "15.46019568", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00129.pdf"]}, {"id": "3b73f8a2b39751efb7d7b396bf825af2aaadee24", "title": "Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images", "addresses": [{"address": "Max Planck Institute for Informatics", "lat": "49.25795660", "lng": "7.04577417", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01066.pdf"]}, {"id": "043efe5f465704ced8d71a067d2b9d5aa5b59c29", "title": "Occlusion-aware 3D Morphable Face Models", "addresses": [{"address": "University of Basel", "lat": "47.56126510", "lng": "7.57529610", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/000a/c6b0865c79bcf0d6f7f069b3abfe229e1462.pdf"]}, {"id": "c13211a15abd3ca187ef36b9f816891f901ba788", "title": "A multi-channel projection haar features method for face detection", "addresses": [{"address": "Southeast University", "lat": "32.05752790", "lng": "118.78682252", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "ede5982980aa76deae8f9dc5143a724299d67742", "title": "Lightweight two-stream convolutional face detection", "addresses": [{"address": "Aristotle University of Thessaloniki", "lat": "40.62984145", "lng": "22.95889350", "type": "edu"}], "year": "2017", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570347567.pdf"]}, {"id": "a3d0ebb50d49116289fb176d28ea98a92badada6", "title": "Unsupervised Learning of Object Landmarks through Conditional Image Generation", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}, {"address": "University of Edinburgh", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a3d0/ebb50d49116289fb176d28ea98a92badada6.pdf"]}, {"id": "ed07856461da6c7afa4f1782b5b607b45eebe9f6", "title": "D Morphable Models as Spatial Transformer Networks", "addresses": [{"address": "University of York", "lat": "53.94540365", "lng": "-1.03138878", "type": "edu"}, {"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ed07/856461da6c7afa4f1782b5b607b45eebe9f6.pdf"]}, {"id": "0974677f59e78649a40f0a1d85735410d21b906a", "title": "A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65nm CMOS", "addresses": [{"address": "ARM, Inc.", "lat": "37.41739310", "lng": "-121.94757210", "type": "company"}, {"address": "Zhejiang University", "lat": "30.19331415", "lng": "120.11930822", "type": "edu"}, {"address": "Arizona State University", "lat": "33.30715065", "lng": "-111.67653157", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "293d69d042fe9bc4fea256c61915978ddaf7cc92", "title": "Face Recognition by Coarse-to-Fine Landmark Regression with Application to ATM Surveillance", "addresses": [{"address": "Guangzhou University", "lat": "23.04436505", "lng": "113.36668458", "type": "edu"}, {"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "56e25056153a15eae2a6b10c109f812d2b753cee", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}, {"address": "Jiangnan University", "lat": "31.48542550", "lng": "120.27395810", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06753.pdf"]}, {"id": "ebc2a3e8a510c625353637e8e8f07bd34410228f", "title": "Dual Sparse Constrained Cascade Regression for Robust Face Alignment", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}, {"address": "University of Technology Sydney", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "28bac5bc6e8a15f704563c5cb723b7c71f5413fa", "title": "Analysis for Self-taught and Transfer Learning Based Approaches for Emotion Recognition", "addresses": [{"address": "Indian Institute of Technology Delhi", "lat": "28.54632595", "lng": "77.27325504", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8", "title": "HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1603.01249.pdf"]}, {"id": "5789f8420d8f15e7772580ec373112f864627c4b", "title": "Efficient Global Illumination for Morphable Models", "addresses": [{"address": "University of Basel", "lat": "47.56126510", "lng": "7.57529610", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Schneider_Efficient_Global_Illumination_ICCV_2017_paper.pdf"]}, {"id": "01125e3c68edb420b8d884ff53fb38d9fbe4f2b8", "title": "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression", "addresses": [{"address": "University of Nottingham", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu"}, {"address": "Kingston University", "lat": "51.42930860", "lng": "-0.26840440", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07834.pdf"]}, {"id": "622c84d79a9420ed6f3a78f29233d56b1e99cc21", "title": "Video attention prediction using gaze saliency", "addresses": [{"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}, {"address": "Hefei University of Technology", "lat": "31.84691800", "lng": "117.29053367", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd", "title": "Attentional Alignment Networks", "addresses": [{"address": "Beihang University", "lat": "39.98083330", "lng": "116.34101249", "type": "edu"}, {"address": "University of Texas at Arlington", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu"}, {"address": "Shanghai Jiao Tong University", "lat": "31.20081505", "lng": "121.42840681", "type": "edu"}, {"address": "Shanghai, China", "lat": "31.23039040", "lng": "121.47370210", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/86b6/afc667bb14ff4d69e7a5e8bb2454a6bbd2cd.pdf"]}, {"id": "52d7eb0fbc3522434c13cc247549f74bb9609c5d", "title": "WIDER FACE: A Face Detection Benchmark", "addresses": [{"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.06523.pdf"]}, {"id": "a81da7746f4f58e7211e65f11e6520144f8c003d", "title": "Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning", "addresses": [{"address": "University of Hong Kong", "lat": "22.20814690", "lng": "114.25964115", "type": "edu"}, {"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2018", "pdf": ["https://i.cs.hku.hk/~yzyu/publication/BBFCN-BigMM2018.pdf"]}, {"id": "3d18ce183b5a5b4dcaa1216e30b774ef49eaa46f", "title": "Face Alignment in Full Pose Range: A 3D Total Solution", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.07212.pdf"]}, {"id": "d115c4a66d765fef596b0b171febca334cea15b5", "title": "Combining Stacked Denoising Autoencoders and Random Forests for Face Detection", "addresses": [{"address": "Swansea University", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d115/c4a66d765fef596b0b171febca334cea15b5.pdf"]}, {"id": "19705579b8e7d955092ef54a22f95f557a455338", "title": "Fiducial facial point extraction with cross ratio", "addresses": [{"address": "Dalian University of Technology", "lat": "38.88140235", "lng": "121.52281098", "type": "edu"}], "year": "2014", "pdf": []}, {"id": "79eb06c8acce1feef4a8654287d9cf5081e19600", "title": "Self-supervised learning of a facial attribute embedding from video", "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": "2018", "pdf": ["https://arxiv.org/pdf/1808.06882.pdf"]}, {"id": "87e6cb090aecfc6f03a3b00650a5c5f475dfebe1", "title": "Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "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": "2016", "pdf": ["https://pdfs.semanticscholar.org/87e6/cb090aecfc6f03a3b00650a5c5f475dfebe1.pdf"]}, {"id": "7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2", "title": "Robust FEC-CNN: A High Accuracy Facial Landmark Detection System", "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": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/He_Robust_FEC-CNN_A_CVPR_2017_paper.pdf"]}, {"id": "3fb26f3abcf0d287243646426cd5ddeee33624d4", "title": "Joint Training of Cascaded CNN for Face Detection", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Qin_Joint_Training_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Qin_Joint_Training_of_CVPR_2016_paper.pdf"]}, {"id": "055cd8173536031e189628c879a2acad6cf2a5d0", "title": "Fast multi-view face alignment via multi-task auto-encoders", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2017", "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": "d4c2d26523f577e2d72fc80109e2540c887255c8", "title": "Face-space Action Recognition by Face-Object Interactions", "addresses": [{"address": "Weizmann Institute of Science", "lat": "31.90784990", "lng": "34.81334092", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.04293.pdf"]}, {"id": "3251f40ed1113d592c61d2017e67beca66e678bb", "title": "Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization", "addresses": [{"address": "Aristotle University of Thessaloniki", "lat": "40.62984145", "lng": "22.95889350", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "17ded725602b4329b1c494bfa41527482bf83a6f", "title": "Compact Convolutional Neural Network Cascade for Face Detection", "addresses": [{"address": "Tomsk Polytechnic University", "lat": "56.46255985", "lng": "84.95565495", "type": "edu"}, {"address": "Russia", "lat": "61.52401000", "lng": "105.31875600", "type": "edu"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.01292.pdf"]}, {"id": "c8ca6a2dc41516c16ea0747e9b3b7b1db788dbdd", "title": "Track Facial Points in Unconstrained Videos", "addresses": [{"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.02825.pdf"]}, {"id": "42ea8a96eea023361721f0ea34264d3d0fc49ebd", "title": "Parameterized Principal Component Analysis", "addresses": [{"address": "Florida State University", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04695.pdf"]}, {"id": "de79437f74e8e3b266afc664decf4e6e4bdf34d7", "title": "To face or not to face: Towards reducing false positive of face detection", "addresses": [{"address": "University of Queensland", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "7c953868cd51f596300c8231192d57c9c514ae17", "title": "Detecting and Aligning Faces by Image Retrieval", "addresses": [{"address": "Northwestern University", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu"}], "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/CVPR13_FaceDetection.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d460.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shen_Detecting_and_Aligning_2013_CVPR_paper.pdf"]}, {"id": "19a9f658ea14701502d169dc086651b1d9b2a8ea", "title": "Structural models for face detection", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2013", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/JJYan-FG2013.pdf"]}, {"id": "be632b206f1cd38eab0c01c5f2004d1e8fc72880", "title": "Gradual training of cascaded shape regression for facial landmark localization and pose estimation", "addresses": [{"address": "Queensland University of Technology", "lat": "-27.47715625", "lng": "153.02841004", "type": "edu"}], "year": "2013", "pdf": ["http://eprints.qut.edu.au/61607/1/856-2.pdf"]}, {"id": "0ea7b7fff090c707684fd4dc13e0a8f39b300a97", "title": "Integrated Face Analytics Networks through Cross-Dataset Hybrid Training", "addresses": [{"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}, {"address": "Beijing Institute of Technology", "lat": "39.95866520", "lng": "116.30971281", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06055.pdf"]}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"]}, {"id": "eb87151fd2796ff5b4bbcf1906d41d53ac6c5595", "title": "Enhanced face detection using body part detections for wearable cameras", "addresses": [{"address": "IBM Thomas J. Watson Research Center", "lat": "41.21002475", "lng": "-73.80407056", "type": "company"}], "year": "2016", "pdf": []}, {"id": "35d272877b178aa97c678e3fcbb619ff512af4c2", "title": "A multi-scale fusion convolutional neural network for face detection", "addresses": [{"address": "Chongqing University of Posts and Telecommunications", "lat": "29.53570460", "lng": "106.60482474", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "9e8f95503bebdfb623d4e5b51347f72677d89d99", "title": "Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis", "addresses": [{"address": "Loughborough University", "lat": "52.76635770", "lng": "-1.22924610", "type": "edu"}], "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9e8f/95503bebdfb623d4e5b51347f72677d89d99.pdf"]}, {"id": "492f41e800c52614c5519f830e72561db205e86c", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "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": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"]}, {"id": "c6382de52636705be5898017f2f8ed7c70d7ae96", "title": "Unconstrained face detection: State of the art baseline and challenges", "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/CheneyKlienJainKlare_UnconstrainedFaceDetection_ICB15.pdf", "https://ai2-s2-pdfs.s3.amazonaws.com/c638/2de52636705be5898017f2f8ed7c70d7ae96.pdf"]}, {"id": "b11bb6bd63ee6f246d278dd4edccfbe470263803", "title": "Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization", "addresses": [{"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09242.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": "fdf8e293a7618f560e76bd83e3c40a0788104547", "title": "Interspecies Knowledge Transfer for Facial Keypoint Detection", "addresses": [{"address": "University of California, Davis", "lat": "38.53363490", "lng": "-121.79077264", "type": "edu"}, {"address": "Zhejiang University", "lat": "30.19331415", "lng": "120.11930822", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.04023.pdf"]}, {"id": "38cbb500823057613494bacd0078aa0e57b30af8", "title": "Deep Face Deblurring", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.08772.pdf"]}, {"id": "fb87045600da73b07f0757f345a937b1c8097463", "title": "Reflective Regression of 2D-3D Face Shape Across Large Pose", "addresses": [{"address": "University of Hong Kong", "lat": "22.20814690", "lng": "114.25964115", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c54/2fef80a35a4f930e5c82040b52c58e96ce87.pdf"]}, {"id": "853fc1794892175e2318f55785ca8e2ce6fd7537", "title": "FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection", "addresses": [{"address": "Chongqing University", "lat": "29.50841740", "lng": "106.57858552", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "71b07c537a9e188b850192131bfe31ef206a39a0", "title": "Faces InThe-Wild Challenge : database and results", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "University of Nottingham", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu"}, {"address": "University of Twente", "lat": "52.23801390", "lng": "6.85667610", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/71b0/7c537a9e188b850192131bfe31ef206a39a0.pdf"]}, {"id": "4dd71a097e6b3cd379d8c802460667ee0cbc8463", "title": "Multi-view facial landmark detector learned by the Structured Output SVM", "addresses": [{"address": "National Institute of Informatics, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu"}], "year": "2016", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/uricar/Uricar-BWILD2015.pdf"]}, {"id": "1fd7a17a6c630a122c1a3d1c0668d14c0c375de0", "title": "Facial landmark localization: Past, present and future", "addresses": [{"address": "Moulay Ismail University", "lat": "33.85611100", "lng": "-5.57439100", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "5c0d105cfcc78d689d948a2aa8d654cab4e545f2", "title": "A Cascaded Framework for Model-Based 3D Face Reconstruction", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0003151.pdf"]}, {"id": "3d62b2f9cef997fc37099305dabff356d39ed477", "title": "Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02734.pdf"]}, {"id": "940e5c45511b63f609568dce2ad61437c5e39683", "title": "Fiducial Facial Point Extraction Using a Novel Projective Invariant", "addresses": [{"address": "Dalian University of Technology", "lat": "38.88140235", "lng": "121.52281098", "type": "edu"}, {"address": "China", "lat": "35.86166000", "lng": "104.19539700", "type": "edu"}], "year": "2015", "pdf": []}, {"id": "6dbdb07ce2991db0f64c785ad31196dfd4dae721", "title": "Seeing Small Faces from Robust Anchor's Perspective", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.09058.pdf"]}, {"id": "1a12eec3ceb1c81cde4ae6e8f27aac08b36317d4", "title": "Real-time Distracted Driver Posture Classification", "addresses": [{"address": "American University in Cairo", "lat": "30.04287695", "lng": "31.23664139", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.09498.pdf"]}, {"id": "cc70fb1ab585378c79a2ab94776723e597afe379", "title": "Detect face in the wild using CNN cascade with feature aggregation at multi-resolution", "addresses": [{"address": "Swansea University", "lat": "51.60915780", "lng": "-3.97934429", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b", "title": "The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution", "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/Zafeiriou_The_Menpo_Facial_CVPR_2017_paper.pdf"]}, {"id": "2f61d91033a06dd904ff9d1765d57e5b4d7f57a6", "title": "FCFD: Teach the machine to accomplish face detection step by step", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "04ff69aa20da4eeccdabbe127e3641b8e6502ec0", "title": "Sequential Face Alignment via Person-Specific Modeling in the Wild", "addresses": [{"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}, {"address": "University of Texas at Arlington", "lat": "32.72836830", "lng": "-97.11201835", "type": "edu"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Sequential_Face_Alignment_CVPR_2016_paper.pdf"]}, {"id": "83295bce2340cb87901499cff492ae6ff3365475", "title": "Deep Multi-Center Learning for Face Alignment", "addresses": [{"address": "Shanghai Jiao Tong University", "lat": "31.20081505", "lng": "121.42840681", "type": "edu"}, {"address": "East China Normal University", "lat": "31.22849230", "lng": "121.40211389", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01558.pdf"]}, {"id": "f201baf618574108bcee50e9a8b65f5174d832ee", "title": "Viewpoint-Consistent 3D Face Alignment", "addresses": [{"address": "University of Trento", "lat": "46.06588360", "lng": "11.11598940", "type": "edu"}, {"address": "Robotics Institute", "lat": "13.65450525", "lng": "100.49423171", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "4c6233765b5f83333f6c675d3389bbbf503805e3", "title": "Real-time high performance deformable model for face detection in the wild", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2013", "pdf": ["http://perceptual.mpi-inf.mpg.de/files/2015/03/Yan_Vis13.pdf", "http://www.cbsr.ia.ac.cn/users/zlei/papers/ICB2013/Yan-ICB13.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": "e659221538d256b2c3e0724deff749eda903fc7d", "title": "Fine-Grained Head Pose Estimation Without Keypoints", "addresses": [{"address": "Georgia Institute of Technology", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00925.pdf"]}, {"id": "b55e70df03d9b80c91446a97957bc95772dcc45b", "title": "MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "addresses": [{"address": "Brno University of Technology", "lat": "49.20172000", "lng": "16.60331680", "type": "edu"}, {"address": "University of Passau", "lat": "48.56704660", "lng": "13.45178350", "type": "edu"}, {"address": "Deutsche Welle, Bonn, Germany", "lat": "50.71714970", "lng": "7.12825184", "type": "edu"}, {"address": "Expert Systems, Modena, Italy", "lat": "44.65316920", "lng": "10.85862280", "type": "company"}, {"address": "GSI Universidad Polit\u00e9cnica de Madrid, Madrid, Spain", "lat": "40.44863720", "lng": "-3.71927980", "type": "edu"}, {"address": "National University of Ireland Galway", "lat": "53.27639715", "lng": "-9.05829961", "type": "edu"}, {"address": "Paradigma Digital, Madrid, Spain", "lat": "40.44029950", "lng": "-3.78700760", "type": "company"}, {"address": "Siren Solutions, Dublin, Ireland", "lat": "53.34980530", "lng": "-6.26030970", "type": "company"}], "year": "2018", "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": "961a5d5750f18e91e28a767b3cb234a77aac8305", "title": "Face Detection without Bells and Whistles", "addresses": [{"address": "ETH Z\u00fcrich", "lat": "47.37645340", "lng": "8.54770931", "type": "edu"}], "year": "2014", "pdf": ["http://videolectures.net/site/normal_dl/tag=921100/eccv2014_mathias_face_detection_01.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8692/86920720.pdf"]}, {"id": "0d746111135c2e7f91443869003d05cde3044beb", "title": "Partial face detection for continuous authentication", "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": ["https://arxiv.org/pdf/1603.09364.pdf"]}, {"id": "eb6ee56e085ebf473da990d032a4249437a3e462", "title": "Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "addresses": [{"address": "University of Southern California", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu"}], "year": "2017", "pdf": ["http://www-scf.usc.edu/~chuntinh/doc/Age_Gender_Classification_APSIPA_2017.pdf"]}, {"id": "2a4153655ad1169d482e22c468d67f3bc2c49f12", "title": "Face Alignment Across Large Poses: A 3D Solution", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "Michigan State University", "lat": "42.71856800", "lng": "-84.47791571", "type": "edu"}], "year": "2016", "pdf": ["http://cseweb.ucsd.edu/~mkchandraker/classes/CSE291/Winter2018/Lectures/FaceAlignment.pdf", "http://cvlab.cse.msu.edu/pdfs/Liu_StanLi_CVPR2016.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Zhu_Face_Alignment_Across_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"]}, {"id": "ca8f23d9b9a40016eaf0467a3df46720ac718e1d", "title": "Face detection using Local Hybrid Patterns", "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_Detection_using.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": "bbf28f39e5038813afd74cf1bc78d55fcbe630f1", "title": "Style Aggregated Network for Facial Landmark Detection", "addresses": [{"address": "University of Technology Sydney", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04108.pdf"]}, {"id": "22c06284a908d8ad0994ad52119773a034eed7ee", "title": "Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks", "addresses": [{"address": "NTT Corporation, Atsugi, Japan", "lat": "35.44048960", "lng": "139.31561110", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "36e8ef2e5d52a78dddf0002e03918b101dcdb326", "title": "Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge", "addresses": [{"address": "University of Cape Town", "lat": "-33.95828745", "lng": "18.45997349", "type": "edu"}], "year": "2013", "pdf": ["http://www.milbo.org/stasm-files/multiview-active-shape-models-with-sift-for-300w.pdf"]}, {"id": "1b794b944fd462a2742b6c2f8021fecc663004c9", "title": "A Hierarchical Probabilistic Model for Facial Feature Detection", "addresses": [{"address": "Rensselaer Polytechnic Institute", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1709.05732.pdf"]}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1408.3967.pdf"]}, {"id": "df51dfe55912d30fc2f792561e9e0c2b43179089", "title": "Face Hallucination Using Linear Models of Coupled Sparse Support", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.06009.pdf"]}, {"id": "afdf9a3464c3b015f040982750f6b41c048706f5", "title": "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", "addresses": [{"address": "Rutgers University", "lat": "40.47913175", "lng": "-74.43168868", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05477.pdf"]}, {"id": "40c8cffd5aac68f59324733416b6b2959cb668fd", "title": "Pooling Facial Segments to Face: The Shallow and Deep Ends", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08341.pdf"]}, {"id": "28646c6220848db46c6944967298d89a6559c700", "title": "It takes two to tango : Cascading off-the-shelf face detectors", "addresses": [{"address": "University of Queensland", "lat": "-27.49741805", "lng": "153.01316956", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2864/6c6220848db46c6944967298d89a6559c700.pdf"]}, {"id": "48a9241edda07252c1aadca09875fabcfee32871", "title": "Convolutional Experts Network for Facial Landmark Detection", "addresses": [{"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "6f9026627fb31d4cfb08dbcc4ab852945dc42252", "title": "Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild", "addresses": [{"address": "Universit\u00e0 degli Studi di Cagliari, Italy", "lat": "39.21736570", "lng": "9.11492180", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "044d9a8c61383312cdafbcc44b9d00d650b21c70", "title": "300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "University of Lincoln", "lat": "53.22853665", "lng": "-0.54873472", "type": "edu"}, {"address": "University of Twente", "lat": "52.23801390", "lng": "6.85667610", "type": "edu"}], "year": "2013", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas_iccv_2013_300_w.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Sagonas_300_Faces_in-the-Wild_2013_ICCV_paper.pdf"]}, {"id": "4cd0da974af9356027a31b8485a34a24b57b8b90", "title": "Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources", "addresses": [{"address": "University of Nottingham", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.00862.pdf"]}, {"id": "17479e015a2dcf15d40190e06419a135b66da4e0", "title": "Predicting First Impressions With Deep Learning", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.08119.pdf"]}, {"id": "12055b8f82d5411f9ad196b60698d76fbd07ac1e", "title": "Multiview Facial Landmark Localization in RGB-D Images via Hierarchical Regression With Binary Patterns", "addresses": [{"address": "Member", "lat": "37.05826350", "lng": "-95.67914910", "type": "edu"}], "year": "2014", "pdf": ["https://zhzhanp.github.io/papers/TCSVT2014.pdf"]}, {"id": "89497854eada7e32f06aa8f3c0ceedc0e91ecfef", "title": "Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling", "addresses": [{"address": "Alibaba", "lat": "30.27408400", "lng": "120.15507000", "type": "company"}, {"address": "Zhejiang University", "lat": "30.19331415", "lng": "120.11930822", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "0a34fe39e9938ae8c813a81ae6d2d3a325600e5c", "title": "FacePoseNet: Making a Case for Landmark-Free Face Alignment", "addresses": [{"address": "Open University of Israel", "lat": "32.77824165", "lng": "34.99565673", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07517.pdf"]}]}
\ No newline at end of file |